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Our reference: EARCHI 658 P-authorquery-v9 AUTHOR QUERY FORM Journal: EARCHI Please e-mail or fax your responses and any corrections to: E-mail: [email protected] Article Number: 658 Fax: +353 6170 9272 Dear Author, Please check your proof carefully and mark all corrections at the appropriate place in the proof (e.g., by using on-screen annotation in the PDF file) or compile them in a separate list. Note: if you opt to annotate the file with software other than Adobe Reader then please also highlight the appropriate place in the PDF file. To ensure fast publication of your paper please return your corrections within 48 hours. For correction or revision of any artwork, please consult http://www.elsevier.com/artworkinstructions. Any queries or remarks that have arisen during the processing of your manuscript are listed below and highlighted by flags in the proof. Click on the ‘Q ’ link to go to the location in the proof. Location in Query / Remark: click on the Q link to go article Please insert your reply or correction at the corresponding line in the proof Q1 Please confirm that given names and surnames have been identified correctly. Q2 The country name has been inserted for both the affiliations. Please check, and correct if necessary. Q3 Please check the highlights are in an incorrect format (there are 6 points, which is against the require- ment), and refer them to the online instructions: http://www.elsevier.com/highlights. Please check this box or indicate your approval if you have no corrections to make to the PDF file Thank you for your assistance.

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Our reference: EARCHI 658 P-authorquery-v9

AUTHOR QUERY FORM

Journal: EARCHI Please e-mail or fax your responses and any corrections to:

E-mail: [email protected]

Article Number: 658 Fax: +353 6170 9272

Dear Author,

Please check your proof carefully and mark all corrections at the appropriate place in the proof (e.g., by using on-screenannotation in the PDF file) or compile them in a separate list. Note: if you opt to annotate the file with software other thanAdobe Reader then please also highlight the appropriate place in the PDF file. To ensure fast publication of your paper pleasereturn your corrections within 48 hours.

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Any queries or remarks that have arisen during the processing of your manuscript are listed below and highlighted by flags inthe proof. Click on the ‘Q’ link to go to the location in the proof.

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EARCHI 658 1

ARTICLE IN PRESSG Model

Early Childhood Research Quarterly xxx (2013) xxx–xxx

Contents lists available at SciVerse ScienceDirect

Early Childhood Research Quarterly

Highlights

Early Childhood Research Quarterly xxx (2013) xxx–xxxThe evolved development niche: Longitudinal effects of caregivingpractices on early childhood psychosocial development

Darcia Narvaez∗, Tracy Gleason, Lijuan Wang, Jeff Brooks, Jennifer Burke Lefever, Ying Cheng

• Every animal has an evolved developmental niche for its young.• Humans are not following their evolved developmental niche (EDN).• The EDN for young children includes breastfeeding, positive touch, responsiveness, and social support (among other characteristics).• We tested the influence on young children of these characteristics over time in a longitudinal dataset.• Children’s prosociality, behavior problems and cognitive development were examined.• Results indicate that the EDN matters for child psychosocial and cognitive development.

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Please cite this article in press as: Narvaez, D., et al. The evolved development niche: Longitudinal effects of caregiving practices on early childhoodpsychosocial development. Early Childhood Research Quarterly (2013), http://dx.doi.org/10.1016/j.ecresq.2013.07.003

ARTICLE IN PRESSG Model

EARCHI 658 1–15

Early Childhood Research Quarterly xxx (2013) xxx– xxx

Contents lists available at SciVerse ScienceDirect

Early Childhood Research Quarterly

The evolved development niche: Longitudinal effects of caregivingpractices on early childhood psychosocial development

1

2

Darcia Narvaeza,∗, Tracy Gleasonb, Lijuan Wanga, Jeff Brooksa, Jennifer Burke Lefevera,Q1

Ying Chenga, the Centers for the Prevention of Child Neglect3

4

a University of Notre Dame, United States5b Wellesley College, United StatesQ26

7

a r t i c l e i n f o8

9

Article history:10

Received 13 September 201211

Received in revised form 8 July 201312

Accepted 15 July 201313

14

Keywords:15

Parenting16

Prosocial development17

Cognitive development18

Behavior problems19

a b s t r a c t

Using an evolutionary developmental systems approach, we examined the effects of early care on chil-Q3dren’s psychosocial development. Our framework for early care is the set of parenting practices thatemerged with the catarrhine mammals more than 30 million years ago, which were slightly alteredin what we call the evolved developmental niche (EDN). Using an existing dataset of 682 families, weassessed four characteristics of EDN care—maternal responsivity, breastfeeding, touch, and maternalsocial support—and examined their effects longitudinally (prenatal to age 3) on children’s prosocial-ity (cooperation and social engagement), behavior problems (internalizing/externalizing), and cognitiveability (intelligence, auditory comprehension, and verbal expression) over three years. The EDN variablessignificantly and differentially affected child outcomes at different time points, even after controllingfor maternal education, age, and income-to-needs ratio. Most significant findings were also retainedwhen maternal responsivity was controlled. In summary, EDN-consistent behaviors in infancy providenecessary support for positive social and cognitive development in early childhood.

© 2013 Published by Elsevier Inc.

Child well-being in the USA is ranked at the bottom among20

economically-developed nations (Organization for Economic Co-21

operation and Development [OECD], 2009; United Nations22

Children’s Fund [UNICEF], 2013; Woolf & Aron, 2013). The national23

prevalence of children under 5 with psychosocial problems has24

been on the increase to between 10% and 21% (Powell, Fixen, &25

Dunlop, 2003). The rates of young children whose behavior dis-26

plays aggression, delinquency, or hyperactivity are on the increase,27

at times estimated to be as high as 25% (Raver & Knitze, 2002).28

The American Academy of Childhood and Adolescent Psychiatry29

reports a “crisis” in children’s mental health–one in five children30

has a diagnosable psychiatric disorder, and one in every ten suf-31

fers from a mental illness severe enough to impair everyday living32

(American Academy of Child and Adolescent Psychiatry [AACAP],33

2011).34

The reasons for these declines in well-being early in life are35

undoubtedly nuanced and complex, but one piece of the puzzle36

worth investigating is the role of specific childrearing practices in37

fostering positive social and cognitive growth and development. As38

child well-being has dropped, so too have a host of specific parent-39

ing practices, such as natural childbirth and breastfeeding (Ball &40

∗ Corresponding author at: Department of Psychology, University of Notre Dame,Notre Dame, IN 46556, United States. Tel.: +1 574 631 7835; fax: +1 574 631 8883.

E-mail address: [email protected] (D. Narvaez).

Russell, 2013), that have likely been standard parenting behaviors 41

for millennia. Consequently, we have taken up the recommenda- 42

tion for further examination of the relation between childrearing 43

practices and child outcomes (Calkins, 2009) using a developmen- 44

tal systems theoretical approach (Oyama, Griffiths, & Gray, 2001), 45

which broadens evolutionary inheritance beyond genes. We exam- 46

ine what has been called the human evolved developmental niche 47

(EDN; Narvaez, Wang, et al., 2013). Each animal has an EDN for 48

its young that matches parental care with offspring developmen- 49

tal maturation (Gottlieb, 1991). For social (catarrhine) mammals, 50

who emerged over 30 million years ago, the EDN includes extensive 51

breastfeeding, touch, prompt responsiveness, and play. 52

Over the course of human evolution, as infants were born 53

increasingly early to accommodate bipedalism (i.e., pelvises shrank 54

and babies had to be born before the head grew too large to 55

pass the birth canal), parenting became correspondingly inten- 56

sive (Trevathan, 2011). Anthropologists (Hewlett & Lamb, 2005) 57

have recently drawn attention to the intensive childrearing prac- 58

tices that are standard among nomadic small-band groups, the 59

social system in which the human genus spent over 90% of its 60

existence (i.e., before agricultural settlement about 10,000 years 61

ago). These rearing practices build on the catarrhine mammalian 62

behaviors mentioned above, adding significant social support, allo- 63

parenting (caregiving by multiple adults) and greater variability in 64

breastfeeding length (Hrdy, 2009; Konner, 2010). The practices fit 65

into the evolved developmental niche (EDN) and are arguably an 66

0885-2006/$ – see front matter © 2013 Published by Elsevier Inc.http://dx.doi.org/10.1016/j.ecresq.2013.07.003

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integral part of the environmental context that supports human67

brain and body development through both physiological and psy-68

chological mechanisms (Hrdy, 2009; Konner, 2010). Indeed, these69

practices are noted for their effects on physiological health (Field,70

1994; Hrdy, 2009; Porges, 2011).71

The EDN framework was used in prior work (Narvaez, Wang,72

et al., 2013) to examine parenting effects on early moral develop-73

ment in a cross-sectional study. Each of the parenting practices,74

after controlling for maternal education and income, predicted75

one or more characteristics of moral development (e.g., empathy,76

conscience). In the current project, we had the opportunity to inves-77

tigate the relation of several of these practices to child social and78

cognitive functioning over the first three years of life with an exist-79

ing longitudinal data set. Specifically we were able to examine80

the practices of responsiveness, touch, breastfeeding, and mater-81

nal social support and their change over time on child prosociality,82

behavior problems, and cognitive ability. These three outcomes are83

important components of child psychosocial development (Farrant,84

Devine, Maybery, & Fletcher, 2012).85

Theoretically, because of their presence throughout mammalian86

and then human evolutionary history, and co-evolving with the87

extreme immaturity of human neonates (Trevathan, 2011), EDN-88

consistent practices may provide contexts for the construction of89

brain/body systems that are fundamental to the development of90

positive child outcomes (Narvaez, Panksepp, Schore, & Gleason,91

2013). Much like a set of vitamins that promote overall health in92

distinctive ways, EDN-consistent practices may provide the pre-93

requisites for healthy psychosocial development. Well-functioning94

systems likely foster successful physiological and psychological95

self-regulation, an absence of problematic behaviors in social96

contexts, good communication, and mutually responsive dyadic97

relationships. However, little systematic study has examined how98

the presence of EDN-consistent or -inconsistent practices influence99

child psychological outcomes. Thus, we examined the influ-100

ences of three parenting practices—responsivity, breastfeeding, and101

touch—that we postulate as central to the childrearing environ-102

ment of the EDN. In addition, we examined maternal perceived103

social support as a proxy for the social embeddedness characteristic104

of the EDN as noted by anthropologists (Ingold, 1999). We explored105

whether these behaviors would differentially relate to three sets of106

child outcomes over three years: prosociality, behavioral problems,107

and cognitive ability.108

Maternal responsivity has been identified not only in the109

anthropological literature as a likely standard practice throughout110

evolution, but also in the developmental literature as a significant111

predictor of children’s social functioning (Kochanska, 2002; Landry,112

1998; Parpal & Maccoby, 1985; Zimmer-Gembeck & Thomas, 2010).113

Indeed, attachment theory (Bowlby, 1969) is predicated on the114

assumption that particular behaviors designed to maximize con-115

tact between caregiver and infant co-evolved with the extensive116

needs of human offspring. If such caregiving is responsive and117

sensitive to the infants’ needs, developmental outcomes are gen-118

erally much more positive than if the care is neglectful—in both119

the physiological and psychological domains (Maunder & Hunter,120

2008; Weinfield, Sroufe, Egeland, & Carlson, 2008). Likewise,121

breastfeeding and touch are associated with healthy physiological122

development (Narvaez, Panksepp, et al., 2013; Narvaez, Wang, et al.,123

2013), and may contribute to psychosocial development as well. By124

conceptualizing these variables and maternal social support as ele-125

ments of a nurturing environment, and controlling for maternal126

responsivity, we hoped to highlight the differential impact of these127

parenting practices on children’s psychosocial outcomes.128

This work is timely for two reasons. First, some measures sug-129

gest that modern childrearing in societies such as the USA is130

increasingly divergent from EDN practices. For example, accord-131

ing to the US Surgeon General (Centers for Disease Control and132

Prevention [CDC], 2011), many mothers fail even to initiate breast- 133

feeding. A second reason this research is timely is that although 134

extensive literature in developmental psychology has documented 135

the remarkable abilities of some children to survive overwhelming 136

challenges (Masten & Wright, 2009), increasing alarms are being 137

raised about early toxic stress (National Forum on Early Childhood 138

Policy and Programs [NFECPP], 2010; Shonkoff & Phillips, 2000) 139

and the complex interactions among caregiving, genetics, and sen- 140

sitive periods (deBellis, 2010). Although most resiliency research 141

has implicitly emphasized “good enough” childrearing (avoidance 142

of negative outcomes), our goal is to apply an integrative perspec- 143

tive to the exploration of the early factors and interactions that 144

maximize positive psychosocial outcomes (promotion of optimal- 145

ity). To do this we must examine the type of caregiving practices 146

that evolved with our species. 147

1. Parenting behaviors consistent with the evolved 148

developmental niche 149

1.1. Maternal responsive caregiving 150

From anthropologists’ accounts of small-band hunter–gatherers 151

in environments presumed to represent human genus history, 152

mothers are highly and sensitively responsive to the needs of young 153

children (Hewlett & Lamb, 2005; Hrdy, 2009). Preventing preda- 154

tion was certainly part of the evolved motivation to avert children’s 155

crying, but regardless, adults in these societies tend to be “indul- 156

gent” and quickly responsive to children’s needs (Konner, 2005, 157

2010). The mechanism of responsivity, according to a mutual reg- 158

ulation model, is that both infant and mother represent a “larger 159

dyadic regulatory system,” each being a subsystem of the whole 160

(Tronick, 2007, p. 9). Responsive caregiving means that the child 161

is assisted in learning to coordinate communication and regulate 162

arousal systems (Haley & Stansbury, 2003), including systems like 163

the hormone oxytocin (important for social relations), leading to 164

better stress regulation overall (Fleming, O’Day, & Kraemer, 1999; 165

Heim & Nemeroff, 2001; Uvnas-Moberg, 1997). 166

A plethora of research connects maternal responsivity to posi- 167

tive child outcomes (Ainsworth, Bell, & Stayton, 1974). For example, 168

maternal responsivity has been linked to attentional control 169

in toddlerhood (Rodriguez et al., 2005), as well as to cogni- 170

tive and language development (Landry, Smith, Miller-Loncar, & 171

Swank, 1997). Preschool children with responsive mothers develop 172

fewer behavior problems (Stein & Newcomb, 1994) and display 173

greater self-regulation, empathy, early conscience development, 174

and social competence (Kochanska, 2002; Parpal & Maccoby, 1985; 175

Radke-Yarrow, Zahn-Waxler, & Chapman, 1983; Zahn-Waxler & 176

Radke-Yarrow, 1990; Zimmer-Gembeck & Thomas, 2010), all of 177

which are necessary for moral sensitivity and behavior. Likewise, 178

maternal responsivity through the first few years of life is directly 179

linked to children’s social skills at 4.5 years, above and beyond con- 180

current and indirect effects (Steelman, 2002). Intervention studies 181

(van den Boom, 1994, 1995) also demonstrate that enhancing 182

maternal sensitive responsiveness is linked to infants’ sociability, 183

self-regulation, and exploration late in the first year, and to secure 184

attachment, cooperation, and fewer behavioral problems in tod- 185

dlerhood. 186

1.2. Breastfeeding 187

For our ancestors, breastfeeding was universal. According to 188

anthropological reports, on-demand breastfeeding among small- 189

band hunter–gatherers typically continued for 2–5 years after birth, 190

with an average weaning age of four (Hrdy, 2009; Konner, 2005). 191

Breastfeeding has been linked directly to important aspects of 192

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D. Narvaez et al. / Early Childhood Research Quarterly xxx (2013) xxx– xxx 3

psychological functioning, such as specific aspects of brain develop-193

ment and cognition. For example, breastfeeding has been positively194

related to executive function scores and social competence and195

negatively related to the incidence of ADHD in 4-year-olds (Julvez196

et al., 2007). Multiple studies have also associated breastfeeding197

with increased IQ and generally higher cognitive function in com-198

parison to formula feeding, even when controlling for confounding199

variables such as maternal income and education (Anderson,200

Johnstone, & Remley, 1999; Michaelsen, Lauritzen, Jørgensen, &201

Mortensen, 2003; Mortensen, Michaelsen, Sanders, & Reinisch,202

2002; Wigg et al., 1998). Even simple initiation of breastfeeding,203

separate from duration, has sometimes shown small but signifi-204

cant effects on measures of cognitive development (Jiang, Foster, &205

Gibson-Davis, 2011).206

1.3. Touch207

Touch is vital for human development (Field, 1994; Montagu,208

1971). Anthropological and cross-species evidence (Hrdy, 2009)209

suggests that in the EDN, offspring were kept in close physical con-210

tact with others most of the time. Positive physical touch influences211

the development and wiring of physiological systems in mammals.212

For example, when monkeys are raised away from their mothers in213

the first months of life, their immune systems demonstrate a vari-214

ety of deficits at least into middle childhood (Coe, Lubach, Ershler, &215

Klopp, 1989). Maternal touch over the long term facilitates appro-216

priate responses to immune system challenges, such as vaccines,217

and the ability to produce antibodies (Laudenslager, Rasmussen,218

Berman, Suomi, & Berger, 1993). Meaney and colleagues have doc-219

umented differences in gene expression within the brain-body220

pituitary-adrenal stress axis in rats, based on the extent of mater-221

nal touch soon after birth (Meaney, 2001; Weaver, Szyf, & Meaney,222

2002).223

In humans, touch fosters a secure attachment, which promotes224

social and cognitive functioning (Cushing & Kramer, 2005). In fact,225

maintenance of physical contact is a significant component of the226

way in which attachment is assessed in infancy (Ainsworth, Blehar,227

Waters, & Wall, 1978). Maternal carrying decreases crying in early228

life (Hunziker & Barr, 1986) and increases maternal responsiv-229

ity (Anisfeld, Casper, Nozyce, & Cunningham, 1990). Similarly, the230

positive effects of massage on preterm infants’ development and231

well-being have been well-documented (Field, 1995).232

In contrast to positive touch, negative touch can be detrimental233

to developmental outcomes. Spanking in early childhood is associ-234

ated with later aggression, even after controlling for confounding235

factors (Taylor, Manganello, Lee, & Rice, 2010). A linear relationship236

has also been established between being hit in childhood and life-237

time prevalence of psychiatric disorders, including anxiety, alcohol238

abuse, and externalizing disorders (MacMillan et al., 1999). Hence,239

we expected that the combination of the presence of positive touch240

and the absence of negative touch would lead to better child out-241

comes.242

1.4. Maternal social support243

Small-band hunter–gatherer communities are tightly knit (with244

porous boundaries), living in close physical and social proximity245

(Fry, 2005). In these contexts, individual isolation was viewed as246

punishment—an unhealthy and potentially even risky option. Hrdy247

(2009) persuasively demonstrates the evolved need for social sup-248

port to encourage maternal investment in offspring, emphasizing249

the high level of alloparenting characteristic of hunter–gatherer250

groups. In fact, the need for assistance in caring for the young251

is so great in humans and other species with high levels of252

cooperative breeding that mothers will abandon their infants253

when sufficient social support and alloparents are unavailable.254

Moreover, lack of support is associated with maternal stress, which 255

generally interferes with nurturing maternal behaviors—thereby 256

negatively influencing child outcomes (Garmezy, 1983). Indeed, 257

mothers who report less affective and maternal assistance in their 258

child-rearing roles have infants who demonstrate more insecure 259

attachment styles in comparison to mothers with more assistance 260

(Crockenberg, 1981). 261

The benefits of maternal social support for child outcomes 262

extend well beyond infancy. Mothers’ perceptions of social sup- 263

port have been positively related to children’s social skills and 264

negatively related to children’s behavior problems (Achenbach, 265

1974; Koverola et al., 2005). For example, among kindergarten- 266

ers, a mother’s perceived social support was related to teacher 267

ratings of children’s competence in the classroom (Pianta & Ball, 268

1993). Longitudinal data from mother–child dyads also reveals 269

that social support mediates the effect that maternal depressive 270

symptoms have on children’s externalizing behaviors at 8 years 271

old (Koverola et al., 2005). Likewise, first-time mothers who were 272

visited by nurses over two dozen times before and after birth 273

until their children were age two had children who were less 274

emotionally reactive, ahead in language learning, and higher in cog- 275

nitive development in adolescence than controls (Olds, Henderson, 276

Chamberlin, & Tatelbaum, 1986; Olds et al., 2002; Olds, Sadler, & 277

Kitzman, 2007). 278

1.5. Current study 279

We conceptualized EDN-consistent care as an early envi- 280

ronment whose components differentially promote positive 281

development. We used an existing longitudinal data set and con- 282

ducted novel hypotheses (Borkowski et al., 2012) on four EDN 283

characteristics of interest. We were fortunate in that the dependent 284

measures available to us encompassed child outcomes relevant to 285

our interests in psychosocial development, including observations 286

of prosociality (cooperation and social engagement), standardized 287

measures of cognitive ability (intelligence, expressive commu- 288

nication, and auditory comprehension), and mothers’ reports of 289

behavior problems (internalizing and externalizing). Our analytic 290

approach was to investigate the EDN-consistent variables available 291

in this dataset in relation to these child outcomes across multiple 292

time points, expecting that different patterns of relations would 293

emerge for different characteristics of the early nurturing environ- 294

ment. For instance, we expected maternal responsivity to influence 295

all outcomes, given its centrality to psychological functioning in the 296

mother–child dyad (Bowlby, 1969; Tronick, 2007). We expected 297

that breastfeeding initiation would be related to (lack of) child 298

behavior problems and to cognitive development. The implications 299

of touch for the management of stress (Weaver et al., 2002) and 300

for the development of secure attachments (Cushing & Kramer, 301

2005) led us to expect positive relations between this variable and 302

child prosociality (cooperation and social engagement) and nega- 303

tive relations with behavior problems. Lastly, the work on maternal 304

social support (Burchinal, Follmer, & Bryant, 1996; Olds et al., 1986, 305

2002, 2007) suggests connections between maternal social sup- 306

port and children’s prosociality and cognitive ability, and that of 307

Achenbach (1974) and Koverola et al. (2005) suggested negative 308

correlations between perceived social support and behavior prob- 309

lems. 310

The longitudinal nature of our data also allowed for an exami- 311

nation of the relations between the different parenting behaviors 312

and the child outcomes over time. Based on findings showing that 313

the mother–child relationship is established by 4 or 5 months 314

(Beebe et al., 2010; Feldman, Greenbaum, & Yirmiya, 1999), we 315

expected that the effects of maternal responsivity would be estab- 316

lished early and that all child outcomes measured early and later 317

would benefit from early responsivity. For example, sensitive 318

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and responsive care is associated with security of attachment. In319

turn, attachment security is linked to fewer behavior problems in320

preschool and avoidance of either bullying or victimization (Sroufe321

& Fleeson, 1986). We expected that breastfeeding would have322

lasting effects on behavior problems. Similarly, based on neuro-323

biological reports of touch’s importance for early self-regulation324

(Schanberg, 1995), we expected that those with more positive325

touch over time would demonstrate better self-regulation (fewer326

behavior problems). We expected that social support, because of its327

importance for maternal wellbeing and subsequent responsivity to328

her children would yield continuous positive effects on all child329

outcomes.330

Lastly, we were interested in the effects of breastfeeding, touch,331

and maternal social support even after controlling for the influence332

of maternal responsivity. If, in fact, these variables do contribute333

in unique ways to the child outcomes studied, we expected that334

these aspects of EDN-consistent care would have long-term effects335

even after their shared variance with maternal responsivity was336

eliminated.337

2. Method338

2.1. Participants339

Data were obtained from the Parenting for the First Time project340

(PFT; Borkowski et al., 2012; Lefever et al., 2008), a 3-year lon-341

gitudinal (prenatal to age 3) study of mother–child dyads at risk342

for child neglect. First-time (primiparous) mothers and their chil-343

dren were recruited in their last trimester of pregnancy from344

primary care facilities and other agencies serving low-income345

mothers during 2002–2005 in four US cities: Birmingham, AL;346

South Bend, IN; Washington, DC; and Kansas City, KS/MO. At-risk347

mothers were recruited from clinics that served pregnant women348

in poverty as well as agencies such as Women, Infants and Chil-349

dren (WIC). All mothers were screened for age and education level.350

The total sample (N = 682) had 396 adolescent mothers (Mage = 17.5351

years, SD = 1.12 years), 169 adults with limited education beyond a352

high school diploma (Mage = 25.5 years, SD = 3.0) and a comparison353

group of 117 adults with at least two years of college (Mage = 27.9354

yrs., SD = 3.9). Overall, ethnicities were 65% African-American, 19%355

European-American, 15% Hispanic-American, and 1% other. At the356

prenatal interview, 61% were single, 16% married, and 22% living357

with a partner; 22% were employed and 49% worked until preg-358

nancy.359

2.2. Procedure360

For the current project, a subset of the variables from the larger361

PFT data set were used, including data from interviews that took362

place during the mothers’ last trimester of pregnancy and when363

their infants were 4, 6, 8, 12, 18, 24, 30, and 36 months old. The364

focus of the PFT study was on the transition to motherhood and365

the early experience of the child, so measurements were gath-366

ered more frequently in the first year. The interviews at 4, 8,367

18, and 30 months were generally conducted in the home and368

included observations of mother–child interaction (Landry et al.,369

1997) and the home environment (HOME, Caldwell & Bradley,370

1984, 2001). The visits typically included 1½–2 h of time observing371

the mother and child interact. The other interviews included a set372

of questions about family history, family structure, mother’s per-373

spectives on parenting, family activities, and sources of material374

and social support. At 24 and 36 months, individual standard-375

ized testing was conducted to assess the child’s IQ and language376

and the mother was interviewed concerning the child’s socio-377

emotional development. Predictor variables used were maternal378

responsivity, touch, breastfeeding initiation and maternal reports 379

of social support. Child outcome variables included observations of 380

prosociality (i.e., cooperation, social engagement), cognitive ability 381

(i.e., intelligence, auditory comprehension, verbal expression), and 382

behavior problems (i.e., internalizing and externalizing). Mater- 383

nal education group (see below) and family income-to-needs ratio 384

were used as covariates in the analyses. 385

2.3. Measures 386

2.3.1. Family demographics 387

Information about maternal age, race, education level, house- 388

hold income, as well as number of household members supported 389

by that income, was collected as part of a larger interview. Because 390

of its importance as a covariate (Lamb, 1998; National Institute for 391

Child Health and Human Development Early Child Care Research 392

Network [ECCRN], 2001), a household income-to-needs ratio was 393

calculated (estimated yearly total household income divided by 394

the number of people supported by it). We used two dummy 395

coded variables to code the three groups: teen vs. adult high- 396

education mothers, and adult low-education mothers vs. adult 397

high-education mothers. 398

2.3.2. Maternal responsivity and touch 399

The responsiveness of mothers as well as use of touch with their 400

children was measured using select items from the Infant/Toddler 401

(4, 8, and 18 months) and the Early Childhood (30 months) versions 402

of the Home Observation for the Measurement of the Environ- 403

ment (HOME; Caldwell & Bradley, 1984, 2001). The overall measure 404

consists of a 45-item checklist completed from observations and 405

parent-reports during a lengthy in-home interview. In order to 406

more closely match our constructs of interest, we used only the 407

Responsivity subscale from the HOME, which consists of 11 items 408

that pertain to the mother’s verbal and affective responsiveness 409

to the child and verbal responsiveness to the interviewer. We also 410

computed a new Touch scale as the sum total of the following items 411

from the HOME observations (each coded as 0 vs. 1, higher scores 412

being more positive): (1) no more than one instance of physical 413

punishment, (2) does not slap or spank the child, (3) does not inter- 414

fere or restrict the child more than twice, (4) parent picks up child 415

regularly when not sleeping, and (5) parent caresses or kisses child 416

at least once during visit. Although these include negative touch 417

items (reversed scored), our other studies show the most variability 418

on negative touch items. Cronbach’s alphas were calculated for each 419

time point for both scales in the current study (alphas for respon- 420

sivity ranged from .69 to .78 and, for our proxy measure of touch, 421

.34 to .45). Inter-rater reliability was established using video and 422

subsequent live interviews until a criterion of 90% agreement was 423

reached and fidelity was reassessed every 6 months throughout the 424

course of the project. 425

2.3.3. Breastfeeding initiation 426

Breastfeeding initiation was asked as part of a larger struc- 427

tured interview when the infant was 6 months old (“What have 428

you fed your baby in the first 6 months? Check all that apply.”) 429

Although breastfeeding duration was measured, it was collected 430

retrospectively at 36 months and relatively few (n = 78) participants 431

responded. Consequently, we used only breastfeeding initiation in 432

this study. 433

2.3.4. Maternal social support 434

The Social Support Inventory (SSI) was created for PFT by mod- 435

ifying items from the My Family and Friends scale (MFF; Reid, 436

Landesman, Treder, & Jaccard, 1989), which assesses maternal 437

satisfaction (6-point Likert scale) with support (emotional, parent- 438

ing, companionship) received from the participant’s mother, the 439

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infant’s father, the participant’s best friend, and another support440

person named by the participant. Higher scores indicate higher441

perceived support. This measure had high internal consistency,442

with a Cronbach’s alpha of .92. Social support was measured when443

the infants were 6 and 18 months.444

2.3.5. Prosociality445

To provide a direct assessment of mother–child interaction,446

home visitors conducted 20-minute naturalistic observations of447

mother–child pairs during the 18 and 30 month home visits. Moth-448

ers were instructed to do what they would normally do with the449

child and to pretend that the interviewer was not there. After450

a 2-minute warm-up period, the dyad was observed for four 5-451

minute observation intervals with time between intervals for rating452

both mother and child along several dimensions. Observational453

ratings were based on a coding schema developed by Landry et454

al. (1997). Our analyses focused on two child variables: coopera-455

tion (give and take with mother’s requests, can be redirected to a456

new activity), and social engagement (engages mom with verbal457

and non-verbal communication, shared enjoyment). Each dimen-458

sion of child behavior was rated on a 5-point scale, with higher459

scores indicating more positive behavior. These two variables were460

combined to form a latent construct “prosociality.” Interviewers461

were trained to 80% reliability with a master coder during video-462

taped and in vivo observations (Hammond, Landry, Swank, & Smith,463

1999), and fidelity was reevaluated every 6 months throughout464

data collection.465

2.3.6. Cognitive ability466

Child cognitive ability was measured at 24 and 36 months using467

the following measures: cognitive ability with the Mental Develop-468

ment Index of the Bayley Scales of Infant Development-II (BSID-II;469

Bayley, 1993); expressive communication and auditory compre-470

hension with the Preschool Language Scale-4 (PLS-4; Zimmerman,471

Steiner, & Pond, 2002). These three variables were combined472

to form a latent construct “cognitive ability.” Prior research has473

reported coefficient alphas ranging from .78 to .92, for the BSID-II,474

with a test-retest reliability of .83 (Bayley, 1993). In the cur-475

rent sample, internal consistency coefficients ranged from .74476

(36-months) to .85 (24-months). For the PLS-4, reported inter-477

nal consistency coefficients ranged from .72 to .97 for 1- to478

5-year-olds with a test-retest reliability ranging from .82 to .97479

(Zimmerman et al., 2002). In the current sample the internal con-480

sistency coefficients were .73 (24-months) and .78 (36-months) for481

auditory comprehension and .78 (24-months) and .76 (36-months)482

for expressive communication.483

2.3.7. Behavior problems484

Children’s behavior problems at 24 and 36 months were485

assessed using the maternal-report measure, the Infant-Toddler486

Social and Emotional Assessment (ITSEA; Carter & Briggs-Gowan,487

2006; Carter, Briggs-Gowan, Jones, & Little, 2003), for two domains488

of behavior: externalizing and internalizing (reported alphas were489

.87 and .80, respectively). A total of 91 items were rated on a 3-490

point scale (not true/rarely to very true/often). Cronbach’s alphas for491

the current study were .87 for externalizing, and .81 for internal-492

izing. The two variables were combined to form a latent construct493

“behavior problems.” For all three latent constructs (prosociality,494

cognitive ability, and behavior problems), the measurement mod-495

els had good fit based on criteria established by Hu and Bentler496

(1999). For example, CFI ≥ .95 and RMSEA ≤ .06. We also used an497

absolute fit index: the chi-square test. A non-significant test result498

indicates good model fit.

3. Results 499

3.1. Plan of analyses 500

In order to assess the relation of EDN characteristics on child 501

outcomes across time, we used structural equation modeling 502

(SEM) implemented in EQS 6.1 (Bentler, 2006). We examined 503

the impact of each EDN variable (maternal responsivity, touch, 504

breastfeeding initiation, and maternal social support) on each 505

latent child outcome (prosociality, cognitive ability, and behavior 506

problems) separately, controlling for two demographic covari- 507

ates: income-needs ratio and mother’s age/education group (teen, 508

low-education adult, high-education adult). Two dummy-coded 509

variables were created for mother’s age/education group to create 510

orthogonal contrasts among the three groups. Each child out- 511

come was assessed twice with the child outcome measured at 512

the first time point predicted by EDN practices, and the child 513

outcome measured at the second time point predicted by EDN 514

practices while controlling for the child outcome measured at 515

the first time point. In addition, because maternal responsiv- 516

ity has been a longstanding factor in predicting child outcomes 517

(Landry, Smith, & Swank, 2006), in a second set of analyses 518

we controlled for maternal responsivity (in addition to the two 519

background covariates) for EDN variables that were significantly 520

related to child outcomes, as we were interested in determining 521

whether significance remained even after statistically controlling 522

for responsivity. 523

We used multiple strategies to address the challenges of work- 524

ing with multivariate longitudinal data. First, across all models, we 525

applied full information maximum likelihood estimation (FIML) 526

to handle missing data (see sample size information in Table 1) 527

assuming that the missing data mechanism was Missing at Random 528

(MAR). Consequently, as FIML uses all available data information, 529

the sample sizes reported in the results are sometimes greater 530

than the sample sizes listed in Table 1. Second, as is the case with 531

most multivariate psychological data sets, the large majority of our 532

manifest variables did not resemble a normal distribution (high 533

kurtosis). In order to deal with this issue, we used robust methods 534

that work with non-normal missing data (Yuan & Bentler, 2000), 535

which down-weights the influence of outliers and allows for robust 536

estimation and inference when normal distribution assumptions 537

are violated. 538

Table 1 displays the time points at which data on each vari- 539

able were collected along with descriptive statistics for all EDN 540

variables and child outcomes for the entire sample. Table 2 541

shows the data by group. In general, the adult high-education 542

group receives on average more social support, and is more 543

consistent (less variability) in EDN practices than the other 544

two groups. On the child outcomes, the high-education mothers 545

had higher scores on good outcomes, lower scores on nega- 546

tive outcomes, and less variability. To determine if and how 547

EDN variables were related, and how they related to child out- 548

comes over time, we ran correlational analyses (Tables 3 and 4). 549

The AHHM variables were weakly or moderately related to one 550

another. 551

3.2. Relation of individual EDN variables to child outcomes 552

Table 5 summarizes the significant results for each EDN vari- 553

able on child outcomes, including unstandardized coefficients and 554

fit indices, when controlling for background covariates. Table 6 then 555

summarizes whether these results remain significant when fur- 556

ther controlling for maternal responsivity. All reported SEM models 557

demonstrated adequate and good fit to the data. We summarize the 558

results below. 559

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6 D. Narvaez et al. / Early Childhood Research Quarterly xxx (2013) xxx– xxx

Table 1Descriptive statistics of EDN variables and child outcomes for whole sample.

Variable Month Mean (SD) N Range

Income/needs ratioa 6 3.62 (.46)a 311 2.55–5b

EDN variableMaternal responsivity 4 8.27 (1.76) 468 1–10Maternal responsivity 8 8.38 (1.71) 406 2–10Maternal responsivity 18 8.71 (1.57) 392 2–10Maternal responsivity 30 8.69 (1.74) 358 1–10Percent (%) breastfed 41.6% 531 0–1Touch 4 4.58 (.71) 466 1–5Touch 8 4.20 (.97) 405 0–5Touch 18 3.62 (1.16) 390 0–5Touch 30 3.46 (1.24) 359 0–5Maternal social support 6 82.43 (33.05) 404 6–144Maternal social support 18 80.89 (30.56) 408 6–144

Child outcomesProsociality

Cooperation 18 4.11 (.84) 363 1.25–5Cooperation 30 4.29 (.86) 341 1–5Social engagement 18 3.62 (1.02) 368 1–5Social engagement 30 3.63 (1.23) 341 1–5

Behavior problemsExternalizing problems 24 .70 (.32) 415 .04–1.67Externalizing problems 36 .61 (.84) 363 .00–1.54Internalizing problems 24 .63 (.23) 412 .04–1.76Internalizing problems 36 .58 (.25) 360 .00–1.55

Cognitive abilityIntelligence 24 127.94 (9.26) 351 75–148Intelligence 36 151.50 (7.72) 324 108–174Auditory comprehension 24 25.77 (4.15) 332 10–41Auditory comprehension 36 36.54 (5.60) 314 18–52Expressive communication 24 28.59 (4.53) 348 9–47Expressive communication 36 39.53 (5.22) 330 19–60

a Subgroup mean substitutes are used for imputing missing data.b Log 10 transformation of original data.

Table 2Means and standard deviations of EDN components and child outcomes by maternal group.

Month TeenN = 396

Adult low-edN = 169

Adult high-edN = 117

Income/needs ratioa,b,c 6 .53 (.05)d .55 (.05)d .60 (.04)d

EDN componentMaternal responsivitya,b 4 7.96 (1.83) 8.59 (1.44) 9.13 (.98)Maternal responsivitya,b 8 7.96 (1.86) 8.95 (1.15) 9.05 (1.21)Maternal responsivitya,b 18 8.34 (1.71) 9.04 (1.37) 9.42 (.95)Maternal responsivitya,b 30 8.29 (2.03) 8.90 (1.33) 9.47 (.82)Percent (%) breast-fedb,c 30.5% 41.5% 77.1%Positive touchb,c 4 4.54 (.76) 4.51 (.71) 4.80 (.52)Positive toucha,b 8 4.03 (1.03) 4.36 (.88) 4.49 (.77)Positive touchb 30 3.21 (1.22) 3.57 (1.27) 3.99 (1.03)Maternal social supportb,c 6 74.88 (31.60) 84.01 (33.57) 99.79 (29.46)Maternal social supportb,c 18 76.06 (28.74) 79.70 (30.89) 96.30 (30.65)

Child outcomesBehavioral regulation 18 4.44 (.65) 4.47 (.72) 4.60 (.54)Behavioral regulationb 30 4.53 (.62) 4.66 (.57) 4.79 (.33)Cooperationa,b 18 3.96 (.84) 4.24 (.87) 4.38 (.76)Cooperationa,b 30 4.08 (.97) 4.43 (.75) 4.65 (.46)Social engagementb 18 3.50 (1.04) 3.66 (1.00) 3.99 (.92)Social engagementb,c 30 3.43 (1.30) 3.66 (1.20) 4.14 (.96)Externalizing problemsb,c 24 .74 (.31) .73 (.32) .54 (.29)Externalizing problemsb,c 36 .63 (.33) .68 (.29) .47 (.26)Internalizing problems 24 .65 (.24) .63 (.24) .58 (.22)Internalizing problems 36 .58 (.27) .62 (.24) .52 (.22)Competenceb,c 24 1.28 (.27) 1.33 (.27) 1.41 (.23)Competenceb,c 36 1.33 (.32) 1.37 (.28) 1.55 (.20)Intelligenceb,c 24 127.72 (8.52) 125.36 (10.24) 132.06 (8.63)Intelligenceb,c 36 150.28 (7.27) 150.70 (8.55) 156.47 (5.95)Auditory comprehensionb,c 24 25.43 (3.87) 25.35 (4.04) 27.39 (4.78)Auditory comprehensionb,c 36 36.46 (5.20) 35.86 (5.66) 40.78 (4.77)Express. communicationb,c 24 27.88 (4.27) 28.38 (4.38) 30.97 (4.74)Express. communicationb,c 36 38.61 (4.56) 38.62 (5.40) 43.43 (5.06)

Note. Numbers under maternal groups are means with standard deviations in parentheses. Multiple group comparisons with Bonferroni corrections; alpha = .05.a Teens were significantly different from adults with low education.b Teens were significantly different than adults with high education.c Adults with low education were significantly different from adults with high education.d Log 10 transformation of original data.

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41.6%5310,1Touch44.58 (.71)4661-5Touch84.20 (.97)4050-5
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Standard Deviations of EDN Components and Child Outcomes by Maternal Group.MonthTeen N=396Adult low-ed N=169Adult high-ed. N
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Table 3Correlations among EDN variables.

Variable 1 2 3 4 5 6 7 8 9 10 11

1. Maternal responsivity 4 months –2. Maternal responsivity 8 months .55 –3. Maternal responsivity 18 months .48 .51 –4. Maternal responsivity 30 months .53 .53 .61 –5. Breastfeeding (0 = no, 1 = yes) .16 .25 .24 .19 –6. Touch 4 months .22 .15 .12 .09 .07 –7. Touch 8 months .14 .31 .23 .23 .20 .29 –8. Touch 18 months .10 .11 .26 .13 .14 .15 .39 –9. Touch 30 months .23 .32 .39 .46 .15 .13 .25 .37 –10. Maternal social support 6 months .16 .20 .21 .19 .22 .11 .12 .10 .15 –11. Maternal social support 18 months .12 .18 .13 .09 .12 .09 .00 .04 .13 .44 –

Note. N’s for each correlation vary between each pair of variables owing to missing data. All values equal to or greater than .11 are significant at the p < .05 level.

3.2.1. Maternal responsivity560

Longitudinal trajectories revealed that maternal responsivity561

gradually increased over time starting at 4 months, reaching a peak562

at 18 months before dropping slightly at 30 months. We thus fit a563

latent-growth curve model for maternal responsivity, consisting564

of correlated intercept (maternal responsivity at 4 months) and565

change factors (change in maternal responsivity between 4 and566

30 months), which resulted in a good fit (Hu & Bentler, 1999),567

�2(4, N = 583) = .91, p = .92, CFI = 1.00, RMSEA = .000. Then we fit SEM568

models to study the impact of maternal responsivity on our latent569

child outcome variables controlling for our two background covari-570

ates. See Fig. 1 for a sample path diagram.571

As expected, maternal responsivity related to all child out-572

come variables for at least one time point, if not both, when573

controlling for the two background covariates (see Table 5 for574

coefficients and fit indices). Specifically, maternal responsivity at575

4 months predicted children’s prosociality at both time points;576

change in maternal responsivity over time predicted children’s577

prosociality at 30 months. Maternal responsivity at 4 months578

was also negatively related to children’s behavior problems at579

both 24 and 36 months, but the change in responsivity was580

not, indicating that early responsivity may be especially impor-581

tant with respect to its influence on behavioral issues. Maternal582

responsivity at 4 months was positively related to children’s583

cognitive ability at 24 months but not significantly related to584

children’s cognitive ability at 36 months. However, change in585

responsivity over time predicted children’s cognitive ability at586

36 months.587

3.2.2. Breastfeeding initiation 588

Of the 531 mothers who reported their choice, 41.6% initially 589

breastfed their children. In order to assess the relation of breast- 590

feeding initiation to child outcomes, we first controlled for the two 591

background covariates (see Fig. 2 for a sample path diagram) and 592

then determined whether any significant results remained when 593

controlling for responsivity. 594

As expected, breastfeeding initiation was positively related to 595

prosociality at 18 months and negatively related to behavior prob- 596

lems at 24 months (see Table 5 for coefficients and fit indices). Both 597

of these results remained significant when controlling for respon- 598

sivity (see Table 6). However, breastfeeding choice was not related 599

to either variable at the second time point. Contrary to expectations, 600

despite being positively correlated with all measures of cognitive 601

ability, an SEM model relating breastfeeding to cognitive ability 602

failed to reach convergence and thus the effect of breastfeeding 603

initiation on cognitive ability was not assessed. 604

3.2.3. Touch 605

Observation of the longitudinal trajectories of touch from 4 to 606

30 months showed a systematic, linear change such that moth- 607

ers demonstrated less touch as infants became toddlers. We were 608

able to fit a latent growth model of touch that revealed good fit 609

�2(1, N = 566) = .26, p = .61, CFI = 1.00, RMSEA = .000. We then fit SEM 610

models to assess the impact that touch at 4 months and latent 611

change in touch between 4 months and 30 months had on differ- 612

ent child outcomes with covariates (see Fig. 3 for a sample path 613

diagram). 614

Table 4Correlations between EDN variables and child outcomes.

Child Outcomes EDN component

Responsivity Touch Social support

4 mo. 8 mo. 18 mo. 30 mo. 4 mo. 8 mo. 18 mo. 30 mo. 6 mo. 18 mo.

Cooperation 18 mo. .11 .15* .26** .16** .12* .00 .08 .20** .27** .17**

Cooperation 30 mo. .18** .21** .20** .26** −.08 .09 .02 .32** .18** .17**

Social engagement 18 mo. .23** .23** .38** .30** .09 .16** .16** .27** .21** .14**

Social engagement 30 mo. .19** .21** .20** .38** .08 .20** .11 .35** .14* .06Externalizing behaviors 24 mo. −.08 −.18** −.12* −.18** −.03 −.14* −.17** −.19** −.25** −.16**

Externalizing behaviors 36 mo. −.08 −.13* −.09 −.22** −.10 −.13* −.16** −.24** −.14* −.13*

Internalizing behaviors 24 mo. −.05 −.14* −.14* −.16** −.02 −.05 −.02 −.09 −.11 −.11*

Internalizing behaviors 36 mo. −.05 −.07 −.14* −.15** −.01 −.08 −.09 −.13* −.01 .03Intelligence 24 mo. .13* .10 .17** .22** .02 .02 .10 .14* .06 .12*

Intelligence 36 mo. .21** .15* .19** .29** .13* .13* .11 .25** .10 .15*

Auditory comp. 24 mo. .21** .19** .24** .29** .03 .06 .14* .19** .15* .17**

Auditory comp. 36 mo. .23** .17** .19** .31** .16* .13* .18** .24** .20** .09Expressive comm. 24 mo. .19** .19** .24** .29** .03 .10 .08 .15* .14* .15**

Expressive comm.36 mo. .21** .16* .16** .30** .11 .13* .16* .25** .17** .13*

Note. Ns vary. Comp.: comprehension; comm.: communication.* p < .05.

** p < .01.

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Variables and Child Outcomes.EDN ComponentResponsivityTouchSocial
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SupportChild Outcomes4
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Table 5Model results for all significant effects of EDN variables on child outcomes.

EDN component Child outcome Coefficients Model fit

Maternal responsivityAt 4 mo. Prosociality 18 mo. .44* �2(26, N = 583) = 29.29, p = .30At 4 mo. Prosociality 30 mo. .21* CFI = .963, RMSEA = .053Change (4–30 mo.) Prosociality 30 mo. .40*

At 4 mo. Behavior problems 24 mo. −.20* �2(26, N = 583) = 17.51, p = .89At 4 mo. Behavior problems 36 mo. −.07* CFI = .986, RMSEA = .035Change (4–30 mo.) Behavior problems 36 mo. −.04At 4 mo. Cognitive ability 24 mo. .33* �2(47, N = 583) = 44.55, p = .53At 4 mo. Cognitive ability 36 mo. −.04 CFI = .966, RMSEA = .049Change (4–30 mo.) Cognitive ability 36 mo. .16*

Breastfeeding (0 = no, 1 = yes) Prosociality 18 mo. .18* �2(7, N = 556) = 2.75, p = .91Prosociality 30 mo. −.10 CFI = .999, RMSEA = .015Behavior problems 24 mo. −.17* �2(7, N = 549) = 2.28, p = .94Behavior problems 36 mo. .01 CFI = 1.00, RMSEA = .006Cognitive ability 24 mo. – Model did not converge.Cognitive ability 36 mo. –

TouchAt 4 mo. Prosociality 18 mo. – Model did not fit the data.At 4 mo. Prosociality 30 mo. – Coefficients not reported.Change (4–30 mo.) Prosociality 30 mo. –At 4 mo. Behavior problems 24 mo. −.14* �2(26, N = 583) = 30.58, p = .24At 4 mo. Behavior problems 36 mo. −.13* CFI = .964, RMSEA = .049Change (4–30 mo.) Behavior problems 36 mo. −.16*

At 4 mo. Cognitive ability 24 mo. .09 �2(46, N = 583) = 55.85, p = .15At 4 mo. Cognitive ability 36 mo. .20* CFI = .948, RMSEA = .057

Change (4–30 mo.) Cognitive ability 36 mo. .05Social support Prosociality 18 mo. .40* �2(14, N = 559) = 12.33, p = .58

Prosociality 30 mo. .10* CFI = .989, RMSEA = .041Behavior problems 24 mo. −.29* �2(14, N = 559) = 11.59, p = .64Behavior problems 36 mo. .10 CFI = .992, RMSEA = .037Cognitive ability 24 mo. .20* �2(30, N = 559) = 28.24, p = .56Cognitive ability 36 mo. .03 CFI = .977, RMSEA = .045

Note. Coefficients are standardized. Results listed are controlling for covariates (income/needs ratio and mother’s age/education group). Mo.: month.* p < .05.

A few findings for touch were consistent with our hypotheses.615

As predicted, touch at 4 months was related to lower incidence of616

behavior problems at 24 and 36 months; latent change in touch617

over time also predicted lower levels of behavior problems at 36618

months (see Table 5 for coefficients and fit indices). When con-619

trolling for responsivity, only the effect on behavior problems at620

36 months remained significant (responsivity was not significantly621

related), suggesting the importance of touch at early life stages (see622

Table 6). Although we did not expect a relation between touch and623

cognitive ability, touch at 4 months did positively predict cogni-624

tive ability at 36 months, even when controlling for responsivity625

(see Tables 5 and 6 respectively for coefficients and fit indices). 626

Finally, we were unable to fit a successful model relating touch to 627

prosociality. 628

3.2.4. Maternal social support 629

We transformed the social support variables by deriving the 630

log (base 10) of the original variables at both time points to cor- 631

rect for multivariate non-normality. Social support showed little 632

systematic change between 6 and 18 months, suggesting that 633

maternal social support was established early and stayed relatively 634

stable over time for this sample. Consequently, we established a 635

Table 6Model results for significant effects of EDN variables on child outcomes controlling for maternal responsivity.

EDN component Child outcome Coefficients Model fit

Breastfeeding (0 = no, 1 = yes) Prosociality 18 mo. .10* �2(20, N = 583) = 26.84, p = .14CFI = .963, RMSEA = .059

Behavior problems 24 mo. −.15* �2(20, N = 583) = 14.59, p = .80CFI = .983, RMSEA = .039

TouchAt 4 mo. Behavior problems 24 mo. −.03ns �2(59, N = 583) = 79.52, p = .04At 4 mo. Behavior problems 36 mo. −.17* CFI = .933, RMSEA = .057Change (4–30 mo.) Behavior problems 36 mo. −.03nsAt 4 mo. Cognitive ability 24 mo. −.11* �2(87, N = 583) = 109.24, p = .06At 4 mo. Cognitive ability 36 mo. .23* CFI = .933, RMSEA = .056Change (4–30 mo.) Cognitive ability 36 mo. −.06ns

Social support Prosociality 18 mo. .27* �2(41, N = 583) = 59.05, p = .03Prosociality 30 mo. .11* CFI = .934, RMSEA = .062Behavior problems 24 mo. −.24* �2(29, N = 583) = 20.80, p = .87

CFI = .980, RMSEA = .037Cognitive ability 24 mo. .15* �2(39, N = 583) = 33.10, p = .74

CFI = .976, RMSEA = .040

Note. Coefficients are standardized. Results listed are controlling for demographic covariates (income/needs ratio and mother’s age/education group). Mo.: month; ns: notsignificant.

* p < .05.

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Results for All Significant Effects of EDN Variables on Child Outcomes
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FitMaternal ResponsivityAt
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BreastfeedingProsociality
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Results for Significant Effects of EDN Variables on Child Outcomes Controlling for Maternal Responsivity
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D. Narvaez et al. / Early Childhood Research Quarterly xxx (2013) xxx– xxx 9

Fig. 1. Sample structural equation model demonstrating the influence of maternal responsivity on social engagement. Coefficients are unstandardized (and standardized).*p < .05.

no-change measurement model, �2(1, N = 583) = .80, p = .37,636

CFI = .997, RMSEA = .019. Then we fit SEM models to study the637

impact of social support on different child outcomes with demo-638

graphic covariates (see Fig. 4 for a sample path diagram). From639

the SEM models, we found that when controlling for demographic640

covariates, our hypothesis that maternal social support would pre-641

dict children’s prosociality at both time points was supported (see642

Table 5 for coefficients and fit indices). Both of these relation-643

ships remained significant when controlling for responsivity (see644

Table 6). Maternal social support was also related to fewer behavior645

problems at 24 months and higher cognitive ability at 24 months,646

even when controlling for responsivity (see Tables 5 and 6). It was647

unrelated to either of these outcomes at 36 months, however.648

4. Discussion649

The findings presented here suggest that parenting practices650

consistent with the evolved developmental niche (EDN) are related651

to children’s psychosocial and cognitive development. Our frame-652

work for considering the relation between EDN-consistent care and653

child outcomes included three expectations. First, we anticipated654

that each parenting variable would have differential effects on the655

set of child outcomes we studied. In general, we hypothesized that656

EDN-consistent care would be positively related to positive child657

outcomes and negatively related to problem behaviors in children,658

but we did not expect the patterns to be the same for each predic-659

tor. Second, we expected to find evidence that effects of maternal660

responsivity would emerge early in life, since much of the extant 661

research focuses on outcomes evident in infancy (Tronick, 2007), 662

and we explored changes over time between the other parenting 663

variables and the child outcomes. Third, we predicted that EDN- 664

consistent care would have long-term effects even after controlling 665

for maternal responsivity. Overall, we found reasonable support for 666

the first two of these expectations and modest support for the third. 667

EDN-consistent care was conceptualized in terms of the unique 668

contributions of aspects of an early nurturing environment. All 669

child outcome variables were predicted by maternal behavior early 670

in life. Along with prior findings on interventions (Lyons-Ruth & 671

Easterbrooks, 2006), these findings lend support to the idea that 672

mother–infant interventions are best started early in their life 673

together. In particular, maternal responsivity and touch at 4 months 674

predicted many later child outcomes, conforming to prior research 675

(Beebe et al., 2010). 676

The significance of responsivity varied across the different 677

domains of development. Early maternal responsivity and the gen- 678

erally positive changes in maternal responsivity over time were 679

strongly associated with children’s prosociality, providing fur- 680

ther emphasis on the importance of this childrearing practice for 681

sociomoral development. Responsivity also predicted lower behav- 682

ior problems at both time points, but change in responsivity did not 683

predict behavior problems at age three. One interpretation of these 684

results is that increases in responsivity are not as critical to reducing 685

the risk of behavior problems in preschool as a stable responsivity 686

pattern established by 4 months. Interestingly, while responsivity 687

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10 D. Narvaez et al. / Early Childhood Research Quarterly xxx (2013) xxx– xxx

Fig. 2. Sample structural equation model demonstrating the influence of breastfeeding on social engagement. Coefficients are unstandardized (and standardized). *p < .05.

at 4 months also predicted cognitive abilities, the effect was limited688

to age two years. The patterns of cognitive development established689

by age two might thus be more influential on later cognitive abilities690

than is early responsiveness. On the other hand, a greater increase691

in maternal responsivity was positively associated with cognitive692

ability at 36 months. This finding suggests that as the child becomes693

an ever more active participant in the mother–child relationship, a694

concomitant increase in maternal responsivity might boost cogni-695

tive development just at it seemed to for prosocial outcomes.696

As expected and in line with previous research (Kochanska,697

2002; Radke-Yarrow et al., 1983; Zimmer-Gembeck & Thomas,698

2010), maternal responsivity was the most comprehensive pre-699

dictor of child outcomes, and so we used it as a covariate.700

After controlling for maternal responsivity, many patterns for the701

other parenting practices remained significant. Overall, the strong702

connections between parenting practices and child outcomes703

controlling for responsivity emphasize the differential contrib-704

utions these practices make to child development. Indeed, each705

of the EDN variables predicted multiple child outcomes above706

and beyond responsivity. These findings suggest that while sensi-707

tive, responsive parenting might go a long way toward promoting708

children’s development, other EDN-consistent practices such as709

breastfeeding, touch, and social support could be similarly critical710

to facilitating prosociality and minimizing behavior problems.711

In contrast to the other predictors, the effects of touch were712

restricted to later rather than earlier time points for both behav-713

ior problems and cognitive ability after controlling for maternal714

responsivity. For cognitive ability, this result may have been owing715

to the fact that our measures of cognition related to language devel- 716

opment, which advances significantly between ages two and three. 717

Consequently, the variation in cognitive ability as a function of early 718

touch may not have been measurable at 24 months. The expla- 719

nation for the delayed or time-lagged connection between early 720

touch and behavior problems is unclear, but even so, these findings 721

emphasize how the patterns of parenting behaviors within the first 722

few months have significant implications for later functioning. 723

Although we were unable to account for outcomes due to the 724

duration of breastfeeding for lack of data, the fact that the mere ini- 725

tiation of breastfeeding successfully predicted higher prosociality 726

at 18 months and fewer behavior problems at 24 months empha- 727

sizes the importance of early parenting decisions and practices. 728

Moreover, in our models controlling for outcomes at these first time 729

points negated the relations of breastfeeding to the second time 730

point—as was also true for the relations of social support to behav- 731

ior problems and cognitive ability. The relation of the choice to 732

initiate breastfeeding with prosocial developmental outcomes at 18 733

months was found; however, we could not verify the link between 734

breastfeeding and cognitive ability (Oddy et al., 2003) since we 735

were unable to fit a model that converged for these variables. More- 736

over, we had significant results from breastfeeding initiation even 737

though the variable collapses across mothers who attempted to 738

nurse once with those who nursed for months. In addition, initia- 739

tion may be confounded with social support as findings for the two 740

variables were similar. 741

Breastfeeding and social support both negatively predicted 742

behavior problems at age two when responsivity was controlled. 743

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mother-child
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Fig. 3. Sample structural equation model demonstrating the influence of positive touch on cooperation. Coefficients are unstandardized (and standardized). *p < .05.

These finding are corroborated by previous research with older744

children (Koverola et al., 2005; Robinson et al., 2008). The findings745

also converge with research demonstrating not only links between746

parents’ perceived social support and reduction of negative parent-747

ing, but also children’s prosociality (Ensor & Hughes, 2010), which748

was significant at both time points. Perhaps a feeling of social sup-749

port is critical for helping parents to behave in ways that foster750

prosociality in their growing children, an idea supported by the fact751

that social support, but not breastfeeding, was related to prosocial-752

ity at 30 months. Cognitive ability at 24 months was also predicted753

by social support, corroborating findings from other studies (Olds754

et al., 1986, 2002, 2007). Overall, social support may lead to primar-755

ily indirect effects, a finding that warrants further investigation.756

The results of this study support two important conclusions.757

First, parenting consistent with that postulated as characteristic of758

the EDN showed distinctly positive relations to child development.759

The parenting behaviors were modestly correlated, and each had760

a differential pattern of relation to child outcomes, suggesting that761

child development may be supported by the combined presence of762

EDN variables even though this dataset measured just a few, at dif-763

ferent timepoints, and in a proxy manner. Second, many, but not all,764

of the patterns of EDN-consistent parenting were established early,765

suggesting that as with most dynamic systems, both predictors766

and outcomes and their relations could change dynamically over767

time. This idea has already been demonstrated by interventions768

that provide maternal social support; they are more helpful for769

child outcomes the earlier they occur (Lyons-Ruth & Easterbrooks,770

2006). For the few outcomes that showed greater impact later771

rather than earlier in development (e.g., touch on cognitive ability772

at age 3), future research could usefully address the physiological773

or psychological mechanisms that might suppress these effects in 774

toddlerhood and/or promote them early in the preschool period. 775

4.1. Implications for practitioners 776

The findings have several implications for practitioners. Those 777

who work with mothers (including expectant mothers) should be 778

educated about the importance of early care for physical and mental 779

health (Narvaez, Panksepp, et al., 2013). Practitioners need to know, 780

and could educate parents, about the many positive associations 781

between responding quickly and sensitively to an infants’ signals, 782

breastfeeding, touch, and social support and later social develop- 783

ment. Support of mothers and infants in the perinatal period may 784

be crucial for subsequent maternal responsivity and secure attach- 785

ment. Practices like help with breastfeeding, explanation of the 786

risks of not breastfeeding, and infant care through regular visits 787

from nurses and lactation consultants, especially for first-time 788

and at-risk mothers, may help parents be more responsive. Such 789

programs, through emphasizing these maternal behaviors, might 790

foster a greater likelihood of secure attachment and healthy devel- 791

opment, even as far as behavior in preschool (Sroufe & Fleeson, 792

1986). The impact of early parenting practices suggested by our 793

findings might even call for prenatal interventions. In fact, Honig 794

and Moran (2001) reported that home visits with low-education 795

teen moms that began prenatally were associated with a signif- 796

icant decrease in convictions for child abuse/neglect many years 797

later compared with outcomes when home visits began after an 798

infant was born. 799

Child care facilities could encourage and support working moth- 800

ers to provide breastmilk for feedings during the work day. Pediatric 801

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1986; Olds et al., 2002; Olds et al., 2007).
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PractitionersThe
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Narvaez et al., 2013a).
DFNarvaez
Cross-Out
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12 D. Narvaez et al. / Early Childhood Research Quarterly xxx (2013) xxx– xxx

Fig. 4. Sample structural equation model demonstrating the influence of social support on cooperation. Coefficients are unstandardized (and standardized). *p < .05.

providers should work with organizations such as La Leche League802

to do everything possible to encourage breastfeeding for at least a803

year, as recommended by the American Academy of Pediatrics, or804

more (two years are recommended by the World Health Organiza-805

tion).806

Childcare workers can be encouraged to facilitate secure attach-807

ment with their charges through responsive, attentive glances and808

respectful attention to children’s needs (Schore, 1994; Trevarthen809

& Aitken, 2001). Affectionate touch, which facilitates attachment810

to caregivers as well as healthy development, could be encour-811

aged perhaps by baby-wearing, which increases responsivity and812

attachment (Anisfeld et al., 1990) or massage, which settles babies813

and improves health (Field, 1994). Additional suggestions for those814

who work in early care settings can be found in Honig (2002).815

4.2. Limitations and future directions816

The present analysis was limited by the use of an existing817

dataset conceptualized as a study of at-risk, rather than normative,818

parenting. The findings may differ for a sample more ethnically-819

representative of US children. The measures included were not820

designed to consistently capture each aspect of EDN parenting. For821

example, global perceived social support is a weak proxy for the822

social embeddedness characteristics of the EDN; the touch items823

do not represent the rich experience of touch in the ancestral824

environment that included near-constant carrying and cosleeping.825

Breastfeeding initiation is a variable that combines qualitatively826

different mothers—those that try once and give up and those that827

provide lengthy nursing, and thus it may be confounded with other 828

maternal characteristics (e.g., responsivity). 829

To examine EDN-consistent characteristics more precisely, 830

more focused measures should be developed and specific 831

observational assessments made where possible. For example, 832

breastfeeding data should include duration and be asked currently 833

rather than retrospectively, reliable measures should be developed 834

and validated to measure positive and negative touch separately, 835

and the full complement of practices consistent with the EDN 836

should be studied for their unique and combined patterns (e.g., co- 837

sleeping, natural child birth). In addition, the inter-rater reliability 838

of observed behaviors should be evaluated using a more stringent 839

method, such as Cohen’s � (Ostrov & Hart, 2012). Percent agree- 840

ment, as used in the current study, does not account for chance 841

agreement and it can be biased when used with a small number of 842

cases, as is typical when initially establishing reliability (Bakeman 843

& Gottman, 1987). Although we were interested here in the unique 844

relations of each parenting practice to the child outcomes, closer 845

examination of the covariation between practices might provide 846

valuable information on patterns of parental behavior and their 847

associations with child outcomes, including whether mothers who 848

are EDN-consistent on one variable tend to be consistent on other 849

EDN variables. Moreover, more child outcomes should be exam- 850

ined, such as social variables like empathy and conscience. 851

Although we had a fairly diverse sample, these findings need 852

to be confirmed in different societies, as cultural differences 853

on the effects of various parenting practices have been docu- 854

mented. For example, Slade and Wissow (2004) found that greater 855

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2001; Schore, 1994).
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Future DirectionsThe
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D. Narvaez et al. / Early Childhood Research Quarterly xxx (2013) xxx– xxx 13

spanking before age two was related to behavior problems in856

school for non-Hispanic white children but not for Latino or857

African-American children, suggesting that other factors of the858

early environment may mitigate or offset the experience of neg-859

ative touch like spanking. Nevertheless, our expectation is that860

whereas the exact pattern of relationships between EDN-consistent861

characteristics and child outcomes might vary somewhat, the set862

of parenting behaviors that matter to positive child development,863

because of their basis in human evolutionary history, are likely to864

be similar across cultural and environmental contexts.865

5. Conclusion866

Our findings provide preliminary evidence that using an867

evolutionary developmental systems framework for examining868

parenting practices may be worthwhile. EDN-consistent parent-869

ing practices appear to provide a nurturing environment that870

facilitates development in multiple areas much like various nutri-871

ents from different sources influence different subsystems in872

the body. Each EDN-consistent practice may have a distinctive873

effect on child outcomes over time, yet all may be required for874

all-around positive physiological and psychosocial development.875

As parenting standards have slipped further from our ances-876

tral heritage and trends for children’s well-being continue to877

deteriorate (World Health Organization/World Organization of878

National Colleges, Academies and Academic Associations of General879

Practitioners/Family Physicians [WHO/WONCA], 2008; Woolf &880

Aron, 2013), it may be time to shift from a focus on “good enough”881

parenting environments to a focus on those that evolved to opti-882

mize the development of young children (Narvaez & Gleason, 2013;883

Narvaez, Panksepp, et al., 2013). Such a shift could open up new884

avenues for research and social policy for children and families.885

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families.Uncited referencesAACAP (2011), CDC (2011), NFECPP (2010), NICHD ECCRN (2001), OECD (2009), UNICEF (2013) and WHO WO
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