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. Author manuscript; available in PMC: 2018 Jun 1.
Published in final edited form as: Appetite. 2017 Feb 15;113:23–29. doi: 10.1016/j.appet.2017.02.016

Longitudinal Associations between Maternal Feeding and Overweight in Low-Income Toddlers

Julie C Lumeng 1, Niko Kaciroti 1, Lauren Retzloff 1, Katherine Rosenblum 1, Alison L Miller 1
PMCID: PMC5382094  NIHMSID: NIHMS854572  PMID: 28212827

Abstract

Maternal feeding is a frequent intervention target for the prevention of early childhood obesity but longitudinal associations between feeding and child overweight are poorly understood. This observational cohort study sought to examine the cross-lagged associations between maternal feeding and overweight across ages 21, 27, and 33 months. Feeding was measured by maternal self-report (n=222) at each age. Child weight and length were measured. Cross-lagged analysis was used to evaluate longitudinal associations between feeding and overweight, adjusting for infant birth weight, maternal body mass index, maternal education, and maternal depressive symptoms. The sample was 50.5% white, 52.3% male and 37.8% of mothers had a high school education or less. A total of 30.6%, 29.2%, and 26.3% of the sample was overweight at each age, respectively. Pressuring to Finish, Restrictive with regard to Amount, Restrictive with regard to Diet Quality, Laissez-Faire with regard to Diet Quality, Responsiveness to Satiety, Indulgent Permissive, Indulgent Coaxing, Indulgent Soothing, and Indulgent Pampering each tracked strongly across toddlerhood. There were no significant associations between maternal feeding and child overweight either in cross-sectional or cross-lagged associations. Our results do not support a strong causal role for feeding in childhood overweight. Future work longitudinal work should consider alternative approaches to conceptualizing feeding and alternative measurement approaches.

Keywords: feeding, infant, child, obesity

INTRODUCTION

Maternal feeding is often conceptualized in five domains. Pressuring feeding is characterized by seeking to increase the amount of food consumed. Restrictive feeding is characterized by seeking to limit the types and quantity of food consumed. Responsive feeding is characterized by attending to hunger and satiety cues. Indulgent feeding is characterized by not limiting the quantity or quality of food consumed. Laissez-faire feeding is characterized by not limiting food and also interacting little during feeding.

Maternal feeding is believed to contribute to childhood obesity risk, and has frequently been a target for interventions to prevent obesity in early childhood (Campbell et al., 2008; Daniels et al., 2009; Savage, Birch, Marini, Anzman-Frasca, & Paul, 2016; Taveras et al., 2011). The literature examining associations between maternal feeding and child obesity risk, however, is conflicting (Faith, Scanlon, Birch, Francis, & Sherry, 2004; Vollmer & Mobley, 2013). Measuring both maternal feeding and child weight status longitudinally provides the opportunity to evaluate temporal associations, which can identify potential intervention targets. For example, if pressuring or restrictive feeding temporally precede the development of overweight, they may be targets for intervention. If, on the other hand, maternal feeding changes following the development of child overweight, feeding may be reactive as opposed to causal and therefore a less viable intervention target.

Few observational studies have measured both maternal feeding and child weight status longitudinally (Afonso et al., 2016; Faith et al., 2004; Gregory, Paxton, & Brozovic, 2010; Jansen et al., 2014; Lumeng et al., 2012; Rhee et al., 2009; Rodgers et al., 2013; Thompson, Adair, & Bentley, 2013; Tschann et al., 2015; Webber, Cooke, Hill, & Wardle, 2010; Worobey, Islas Lopez, & Hoffman, 2009) and findings have been mixed. Findings may be mixed due to differences in study populations or differences in measurement of maternal feeding. For example, the ages of children in prior work range from 3 months (Thompson et al., 2013; Worobey et al., 2009) to 10 years (Thompson et al., 2013). Samples were recruited from Australia (Gregory et al., 2010; Jansen et al., 2014; Rodgers et al., 2013), Portugal (Afonso et al., 2016), the United Kingdom (Webber et al., 2010), and the United States (Faith et al., 2004; Lumeng et al., 2012; Rhee et al., 2009; Thompson et al., 2013; Tschann et al., 2015; Worobey et al., 2009). The number of longitudinal measurement points were primarily two (Afonso et al., 2016; Faith et al., 2004; Gregory et al., 2010; Jansen et al., 2014; Rhee et al., 2009; Rodgers et al., 2013; Tschann et al., 2015; Webber, et al., 2010) occasionally three (Lumeng et al., 2012; Worobey et al., 2009), and in one study five (Thompson et al., 2013). Intervals between these measurements ranged from a minimum of three months (Thompson et al., 2013; Worobey et al., 2009) to a maximum of three years (Afonso et al., 2016), with most studies having an interval of about two years (Faith et al., 2004; Gregory et al., 2010; Jansen et al., 2014; Rhee et al., 2009; Webber et al., 2010). Study cohorts were primarily white, with few exceptions (Thompson et al., 2013; Tschann et al., 2015). Sample sizes ranged broadly from fewer than 100 (Faith et al., 2004; Worobey et al., 2009) to more than 4000 (Jansen et al., 2014), with most studies having sample sizes from 100 to 400.

Approaches to measurement of maternal feeding in these longitudinal studies varied broadly. Some studies used videorecorded observational measures (Lumeng et al., 2012; Worobey et al., 2009). Most studies used the Child Feeding Questionnaire (Afonso et al., 2016; Birch et al., 2001; Faith et al., 2004; Gregory et al., 2010; Jansen et al., 2014; Rodgers et al., 2013; Webber et al., 2010). One study used a single question items (Rhee et al., 2009). Other questionnaires used included the Infant Feeding Styles Questionnaire (Thompson et al., 2013; Thompson et al., 2009), Preschool Feeding Questionnaire (Baughcum et al., 2001; Rodgers et al., 2013), Parent Feeding Style Questionnaire (Rodgers et al., 2013; Wardle, Sanderson, Guthrie, Rapoport, & Plomin, 2002), Control Over Eating Questionnaire (Ogden, Reynolds, & Smith, 2006; Rodgers et al., 2013), Comprehensive Feeding Practices Questionnaire (Musher-Eizenman & Holub, 2007; Rodgers et al., 2013), the Parental Feeding Practices Questionnaire (Tschann et al., 2013; Tschann et al., 2015), the Overt/Covert Control Scale (Ogden et al., 2006), and the Maternal Feeding Attitudes Scale (Kramer, Barr, Leduc, Boisjoly, & Pless, 1983; Worobey et al., 2009). Each of these measures conceptualizes feeding slightly differently. Finally, few of these longitudinal studies have examined stability of feeding over time (Afonso et al., 2016; Faith et al., 2004; Gregory et al., 2010; Lumeng et al., 2012; Thompson et al., 2013; Webber, Cooke, et al., 2010), and all but two of these (Lumeng et al., 2012; Thompson et al., 2013) were in children who were preschool aged or older.

Overall, few studies have examined these associations in children younger than age 3 years (Lumeng et al., 2012; Rodgers et al., 2013; Thompson et al., 2013; Worobey et al., 2009). Of studies involving United States populations (Faith et al., 2004; Lumeng et al., 2012; Rhee et al., 2009; Thompson et al., 2013; Tschann et al., 2015; Worobey et al., 2009), few included a cohort that was diverse with regard to race/ethnicity and included a substantial proportion of low-income children (Thompson et al., 2013; Tschann et al., 2015). Examining potential contributors to excessive weight gain among low-income children is especially important given the higher prevalence of overweight in this population (Cunningham, Kramer, & Narayan, 2014). Therefore, within a diverse cohort of low-income children followed longitudinally at ages 21, 27, and 33 months, we sought to address two main objectives: (1) To describe maternal feeding and its change or stability across this age range; and (2) To examine the cross-lagged associations between maternal feeding and overweight during toddlerhood.

SUBJECTS AND METHODS

Participants and Recruitment

Recruitment occurred between 2011 and 2014. Participants were recruited via flyers posted in community agencies serving low-income families. The study was described as examining whether children with different levels of stress eat differently. Inclusion criteria were: (1) the biological mother was the legal guardian; (2) mother had an education level less than a 4-year college degree; (3) mother was at least 18 years old; (4) the family was eligible for Head Start, Women, Infants and Children (WIC) Program, or Medicaid; (5) the family was English-speaking; (6) the child was between 21 and 27 months old; (7) the child was born at a gestational age ≥ 36 weeks; and (8) the child had no food allergies or significant health problems, perinatal or neonatal complications, or developmental delays. Mothers provided written informed consent. The University of Michigan Institutional Review Board approved the study.

Mother-child dyads were invited to participate in three waves of data collection at child ages 21, 27, and 33 months. The data collection procedures at each age spanned across 5 days. Data were collected regarding eating behavior and biobehavioral self-regulation. A total of 244 dyads participated. Most (n = 186) dyads entered the study when the child was age 21 months, but 58 entered the study when the child was age 27 months to maximize recruitment. Measures obtained at study entry are henceforth referred to as “baseline” measures. This report is limited to children whose mother completed the feeding questionnaire for at least one age point and children who provided at least one anthropometric measurement.

A total of 222 of the 244 participants completed a feeding questionnaire during at least one age point and anthropometry during at least one age point. These 222 participants included in this analysis did not differ from the excluded participants with regard to child sex, child age, maternal BMI, maternal education, maternal depressive symptoms, food security, family structure, or race/ethnicity. A total of 42 children (18.9%) participated at only one age point, 73 (32.9%) participated at only two age points, and 107 (48.2%) participated at all three age points. Mother-child dyads who participated at two or three age points did not differ at baseline from those who participated at only one with regard to child sex, child age, maternal BMI, maternal education, maternal depressive symptoms, food security, or family structure. Non-Hispanic white children were more likely to participate at two or three age points, compared to Hispanic or non-white children (p=0.01).

Measures

We used the Infant Feeding Styles Questionnaire (IFSQ) to measure mothers’ feeding (Thompson et al., 2009). The IFSQ was chosen because of its strengths in comparison to other available measures in the literature at the time the study began. First, other available measures asked mothers to report on behaviors only in the first 12 months of life (Baughcum et al., 2001; Hurley, Black, Papas, & Caufield, 2008), or were validated in children (Birch et al., 2001; Hughes, Power, Fisher, Mueller, & Nicklas, 2005) slightly older than the children aged 21 to 33 months in this study. The face validity of the question items in these questionnaires developed for other age ranges was also uncertain (i.e., a large number of questions focused on early bottle feeding or a large number of questions assumed greater receptive and expressive language development in the child). The IFSQ asked mothers to think about feeding a “12 month old to 2 year old.” Finally, the IFSQ included a focus on diet quality as opposed to quantity alone.

Items in the IFSQ are answered on a 5-point scale (1 to 5), with higher scores indicating more of the given type of feeding, with reverse scoring applied as appropriate. Response options were never, seldom, half of the time, most of the time, and always for behaviors, and disagree, slightly disagree, neutral, slightly agree, and agree for beliefs. The IFSQ contains 83 items which generate 13 subscales. To reduce participant burden we retained 9 subscales: Pressuring: Finish (8 items; α = .67–.70 across age points), Restrictive: Amount (4 items; α = .64–.70), Restrictive: Diet Quality (7 items; α = .73–.77), Laissez-Faire: Diet Quality (6 items; Cronbach’s α = .59–.68), Responsive: Satiety (7 items; α = .61–.68), Indulgent: Permissive (8 items; α = .79–.86), Indulgent: Coaxing (8 items), Indulgent: Soothing (8 items; α = .83–.86), and Indulgent: Pampering (8 items; α = .82–.89).

Weight and length were measured by trained research staff. Weight-for-length was calculated and percentiled based on United States Centers for Disease Control Growth Charts. Overweight was defined as a weight-for-length for age and sex > 85th percentile. Mothers’ weight and height were measured and body mass index (BMI) calculated.

Mothers reported child sex, race and ethnicity, maternal education, and family structure (single mother versus not). Mothers completed the 20-item Center for Epidemiologic Studies-Depression scale (CES-D) (Radloff, 1977); response options range from 0 (rarely or none of the time) to 3 (most or all of the time) and are summed so that a higher score indicates more symptoms (range: 0–60). The United States Department of Agriculture 18-item Household Food Security Survey (Bickel, Nord, Price, Hamilton & Cook, 2000) categorizes households as food secure versus not. Mothers reported child birth weight, which was converted to a z-score adjusted for gestational age and sex using reference data based on National Center for Health Statistics Natality Data Sets (Oken, Kleinman, Rich-Edwards, & Gillman, 2003).

Statistical Analysis

Analyses were conducted using SAS 9.4 (SAS Institute Inc., Cary, NC). Univariate statistics were used to describe the sample. One-way repeated measures ANOVAs and Chi square were used to test whether feeding or overweight prevalence differed across 21, 27, and 33 months.

Path models were conducted (using MPLUS version 4.1; Muthen & Muthen, Los Angeles, CA) to test the concurrent and cross-lagged associations between feeding and overweight at ages 21, 27, and 33 months (Figure 1). This approach estimates the stability in feeding at individual level measured by the auto-correlation or longitudinal correlation. Bayesian estimation technique in MPLUS was used to fit models which contained both continuous and binary variables. Bayesian posterior predictive checks (PPC) using Chi-square statistics and the corresponding posterior predictive p-values (ppp) were used to assess the goodness of fit in each model (Gelman, 2004). We controlled for infant birthweight in these models given prior work linking infant birth weight with maternal feeding (Blissett & Farrow, 2007; Hurley et al., 2008). We also controlled for maternal BMI, maternal education, and maternal depressive symptoms.

Figure 1.

Figure 1

Conceptual model for longitudinal associations between maternal feeding and child overweight in toddlerhood

RESULTS

Characteristics of the sample are shown in Table 1. The sample was 52.3% male, 50.5% white, 25.7% black, and 13.1% Hispanic. Among the mothers, (37.8%) had an education level of a high school diploma or less. Depressive symptoms, as measured by the CES-D, were greater than in the general population but consistent with ratings in low-income U.S. mothers of young children (Campbell-Grossman et al., 2016; Hall, Williams, & Greenberg, 1985). The sample size of participants contributing to analyses at each age is shown in Table 2.

Table 1.

Characteristics of the sample (at baseline unless otherwise noted), n = 222

Variable N (%) or Mean (Standard Deviation)
Child Sex
 Female 106 (47.7)
 Male 116 (52.3)
Child Race
 White 112 (50.5)
 Black 57 (25.7)
 Biracial 48 (21.6)
 Other 4 (1.8)
 Unknown 1 (0.4)
Child Ethnicity
 Hispanic 29 (13.1)
 Not Hispanic 192 (86.5)
 Unknown 1 (0.4)
Child Birthweight z-score − 0.2 (1.0)
Maternal BMI (kg/m2) 32.4 (9.3)
Maternal Education
 < high school 30 (13.5)
 High school 37 (16.7)
 General Education 17 (7.7)
Diploma
 Some college courses 116 (52.3)
 2 year college degree 22 (9.9)
Single parent
 Yes 45 (23.9)
 No 143 (76.1)
Maternal CES-D score 12.3 (10.0)
Food Secure
 Yes 136 (67.0)
 No 67 (33.0)
21 months 27 months 33 months Test statistic p-value
Child overweight
 Yes 49 (30.6) 52 (29.2) 40 (26.3) Χ2(2)=3.26 .20
 No 111 (69.4) 126 (70.8) 112 (73.7)
Feeding
 Pressuring: Finish 2.8 (0.8) 2.8 (0.8) 2.8 (0.8) F(2,85)=1.88 .16
 Restrictive: Amount 3.3 (1.0) 3.2 (1.1) 3.1 (1.0) F(2,84)=1.42 .25
 Restrictive: Diet Quality 3.1 (0.8) 3.1 (0.8) 3.2 (0.8) F(2,84)=1.17 .32
 Laissez-Faire: Diet 2.5 (0.7) 2.5 (0.8) 2.5 (0.8) F(2,84)=0.09 .92
Quality
 Responsive: Satiety 4.6 (0.4) 4.5 (0.4) 4.5 (0.4) F(2,84)=2.64 .08
 Indulgent: Permissive 2.1 (0.8) 2.0 (0.7) 2.0 (0.8) F(2,84)=1.46 .24
 Indulgent: Coaxing 1.4 (0.6) 1.4 (0.6) 1.5 (0.6) F(2,84)=1.90 .16
 Indulgent: Soothing 1.4 (0.6) 1.3 (0.5) 1.4 (0.6) F(2,84)=1.27 .29

Table 2.

Sample size contributing to analysis at each age

21m 27m 33m Only 21m Only 27m Only 33m Only 21 and 27m Only 27 and 33m Only 21 and 33m Complete for 21, 27, and 33m Any time point
Entered study at 21m and had complete anthropometry or IFSQ subscales 166 130 119 29 1 0 20 2 10 107 169
Entered study at 27m and had complete anthropometry or IFSQ subscales 0 53 41 0 12 0 0 41 0 0 53
Total participants 166 183 160 29 13 0 20 43 10 107 222

IFSQ = Infant Feeding Styles Questionnaire; m=months

Cross-lagged analysis results for the conceptual model depicted in Figure 1 are presented in Table 3. Overweight status tracked strongly between ages 21 and 33 months. Maternal feeding also tracked strongly between ages 21 and 33 months, though not as strongly as weight status. There were no significant associations between maternal feeding and child overweight either in cross-sectional or cross-lagged associations.

Table 3.

Path coefficients for model shown in Figure 1 in total sample (n =222)

Path

Longitudinal associations of Ovwt Longitudinal associations of maternal feeding Concurrent associations of ovwt and maternal feeding Cross-lagged associations Maternal feeding predicting future ovwt Cross-lagged associations of ovwt predicting future maternal feeding

Maternal feeding variable Ovwt 21m

Ovwt 27m
Ovwt 27m

Ovwt 33m
Maternal feeding 21m

Maternal feeding 27m
Maternal feeding 27m→
Maternal feeding 33m
Ovwt 21m

Maternal feeding 21m
Ovwt 27m

Maternal feeding 27m
Ovwt 33 mos

Maternal feeding 33m
Maternal feeding 21m

Ovwt 27m
Maternal feeding 27m→
Ovwt 33m
Ovwt 21 mos

Maternal feeding 27m
Ovwt 27m

Maternal feeding 33m

b1 b2 b3 b4 b5 b6 b7 b8 b9 b10 b11
Pressuring: Finish ppp=.42
2.19* 1.14* 0.69* 0.69* −0.04 0.03 −0.19 0.19 −0.22 −0.02 0.06
Restrictive: Amount ppp=.23
2.19* 1.20* 0.62* 0.65* 0.05 −0.03 −0.21 0.32 0.10 −0.03 0.13
Restrictive: Diet Quality ppp=.30
2.07* 1.40* 0.67* 0.57* −0.03 0.13 −0.28 −0.18 0.51 −0.05 −0.01
Laissez-Faire: Diet Quality ppp=.24
2.11* 1.19* 0.59* 0.69* −0.01 −0.11 −0.11 −0.12 0.33 0.07 −0.05
Responsive: Satiety ppp=.33
2.13* 1.16* 0.31* 0.43* 0.00 0.00 0.11 −0.11 0.45 0.06 −0.19
Indulgent: Permissive ppp=.24
2.09* 1.21* 0.74* 0.63* −0.01 −0.07 0.06 0.20 −0.05 −0.04 −0.01
Indulgent: Coaxing ppp=.23
2.15* 1.18* 0.68* 0.53* −0.01 −0.02 −0.06 0.18 −0.36 0.09 0.05
Indulgent: Soothing ppp=.09
2.05* 1.28* 0.56* 0.50* 0.02 −0.03 −0.05 0.36 −0.25 −0.01 0.16
Indulgent: Pampering ppp=.10 2.06* 1.19* 0.59* 0.46* 0.01 −0.03 −0.13 0.25 0.17 0.05 0.12
*

p<.05. Adjusting for birth weight z-score, maternal BMI, maternal education, and maternal depressive symptoms (CES-D score); ovwt = overweight, ppp= posterior predictive p-values, m=months

DISCUSSION

There were two key findings in this study. First, maternal feeding was notably stable across toddlerhood. Second, maternal feeding showed no association with the child being overweight, neither concurrently, as a predictor of overweight, nor in response to child overweight.

Stability of Feeding

We found that pressuring feeding was relatively stable across toddlerhood (r = .69), consistent with prior work (r = .49–.83) (Afonso et al., 2016; Faith et al., 2004; Gregory et al., 2010; Webber et al., 2010). The only study that did not find stability in pressuring feeding over time used observational as opposed to self-report methods (Lumeng et al., 2012). We also found that restrictive feeding was relatively stable across toddlerhood (r = .57–.67), which is also consistent with prior reports of stability (r =.28–.59) in later childhood (Afonso et al., 2016; Faith et al., 2004; Gregory et al., 2010; Webber et al., 2010). In general, stability of monitoring tends to be lower in prior work (r = .23–.53) (Afonso et al., 2016; Faith et al., 2004; Gregory et al., 2010; Webber et al., 2010) We did not have a measure of monitoring, but our measure of laissez-faire feeding for diet quality showed slightly higher stability than restrictive feeding (r = .59–.69). We also found that indulgent feeding was relatively stable across toddlerhood (r = .46–.74), while the stability of responsiveness to satiety was moderate (r = .31 – .43). To our knowledge, the stability of these types of feeding have not been previously reported in the literature.

Concurrent Associations between Feeding and Overweight

We found no concurrent associations between any type of feeding and overweight status. Overall, our generally null findings are consistent with the prior studies that have also examined concurrent associations and generally found null associations (Faith et al., 2004; Gregory et al., 2010; Thompson et al., 2013). The few exceptions include reports that less pressuring to finish (Thompson et al., 2013), greater intrusive prompting to eat (Lumeng et al., 2012), and less monitoring (Faith et al., 2004) were all linked to greater body mass index z-score. These reports finding associations were all among U.S. samples, as in our study, included children ranging from 3 months to 7 years, and samples sizes ranging from 57 to 1218. Two of the three reports finding associations used maternal self-report measures (one with the CFQ (Faith et al., 2004) and one with the IFSQ (Thompson et al., 2009), as in our study), and one study used videorecorded observational measures (Lumeng et al., 2012). In summary, we were unable to identify a pattern among studies that identified concurrent associations between maternal feeding and child body mass index z-score based on sample characteristics or methodology that might explain our null findings in relation to these prior reports.

Associations between Feeding and Future Overweight

We found no prospective associations between maternal feeding and future overweight, largely consistent with prior work in this same age range using the same measure (Thompson et al., 2013). Many prior studies have found either no association between pressuring feeding and future markers of adiposity (Faith et al., 2004; Gregory et al., 2010; Lumeng et al., 2012; Webber et al., 2010) or have found an inverse association (Afonso et al., 2016; Jansen et al., 2014; Rodgers et al., 2013; Thompson et al., 2013; Tschann et al., 2015). No study that measured both pressuring feeding and child weight longitudinally found a positive association between greater pressure and greater future overweight. The studies, including our own, that found no association did not differ systematically from studies that found an inverse association in any way that we were able to identify with regard to sample size, sample characteristics, or methodology. Thus, although it remains unclear why some studies find no association and others find that greater pressure to eat is associated with a lower risk of future overweight among children, it is noteworthy that no study has found that greater pressure to eat is associated with a higher risk of future overweight.

We found no association between restriction and future overweight. These results are similar to most prior studies which have also found no association of restrictive feeding with future overweight (Afonso et al., 2016; Faith et al., 2004; Gregory et al., 2010; Rodgers et al., 2013; Tschann et al., 2015; Webber et al., 2010). Two studies have found greater restriction associated with greater future adiposity (Jansen et al., 2014; Thompson et al., 2013). There was again no identifiable difference in the sample size, sample characteristics, or methodology used in the two studies that found greater restriction to be associated with greater future overweight as compared to the studies that did not find an association.

We found no prospective association between laissez-faire feeding and future overweight, similar to the one prior study using the same measure in a similar age range (Thompson et al., 2013). Laissez-faire can be conceptualized as the opposite of monitoring. Of the seven prior studies that have examined feeding and weight longitudinally, three have found that greater monitoring is associated with less future overweight (Afonso et al., 2016; Faith et al., 2004; Rhee et al., 2009), while four found no association (Gregory et al., 2010; Rodgers et al., 2013; Tschann et al., 2015; Webber et al., 2010). There was again no identifiable pattern in sample size, sample characteristics, or methodology to explain these disparate results.

We did not find an association between greater responsiveness to satiety and future overweight. This contrasts with the single prior study we could identify examining both responsiveness to satiety and weight status longitudinally. In this prior study, greater maternal sensitivity to infant feeding cues at 6 months was associated with subsequent lesser increases in adiposity from 6 to 12 months (Worobey et al., 2009). Our study used maternal self-report and was in a slightly older age range. It is possible that maternal responsiveness to satiety or sensitivity to cues is more closely related to weight gain in infancy as opposed to later toddlerhood, as in our study. It is also possible that the association is identifiable by observation of maternal behavior, but not by maternal self-report. Self-report is influenced by reporting bias, either due to social desirability or differing interpretations of the meaning of different descriptions of feeding. Observational approaches, however, are limited by capturing only single feeding episodes, and feeding approaches may certainly vary depending on child behavior as well as foods served. Further work is needed to reconcile the meaning of disparate results based on self-report versus observational feeding methodologies.

Associations between Overweight and Future Feeding

We found no prospective associations between overweight and future feeding, consistent with prior work with this measure in this age range in a U.S. sample which also found primarily null associations (Thompson et al., 2013).

We did not find an association between child overweight and future pressure. Prior work has often found that greater adiposity predicts future declines in pressure (Afonso et al., 2016; Jansen et al., 2014; Thompson et al., 2013; Tschann et al., 2015; Webber et al., 2010). Again, there was no evident pattern with regard to sample size, sample characteristics, or methodology to explain our null findings compared to these other studies. We could not identify any study that found a positive association between overweight and future pressure.

We did not find an association between overweight and future restriction. Studies have found that greater adiposity predicts future increases in restriction (Afonso et al., 2016; Jansen et al., 2014; Tschann et al., 2015) though one prior study in toddlers with the same measure showed a decrease in restriction (Thompson et al., 2013). There was again no pattern to explain these discrepant findings.

We did not find an association between overweight and future laissez faire feeding. Prior work has found greater adiposity linked with increases in monitoring (only in girls) (KE Rhee et al., 2009), less decline in monitoring (Webber et al., 2010), or no association (Jansen et al., 2014). The prior studies finding that weight was associated with changes in monitoring were in school-age children. It is possible that greater monitoring of children’s eating in response to their weight status does not emerge until later childhood.

Limitations

There are several limitations to this study. The longitudinal design is a strength, but due to the high-risk nature of the study cohort, attrition was high and there were missing data. Results may not be generalizable to other study populations outside low-income toddlers in the United States. The internal reliability of the feeding subscales was modest at some ages. Measures of maternal feeding were by self-report and videorecorded observational measures of feeding may have yielded different results. Future work should consider longitudinal videorecorded observational measures of child feeding. In addition, children’s eating behavior, temperament, or other characteristics of the child were not examined as contributors to feeding and will be an important focus of future work. Recently, there has been increasing movement in the field towards differentiating feeding styles, practices, and beliefs (Patrick, Hennessy, McSpadden, & Oh, 2013). The measure used in the current study combines beliefs and behaviors into a single subscale. Future work should consider differentiating feeding styles, practices, and beliefs, which may explain discrepant findings across studies. This analysis also did not examine maternal perceptions of child weight, which may also be relevant to the conceptual model. Despite these limitations, the study was able to describe maternal feeding in a very young age group longitudinally in a diverse population at a low socioeconomic level.

Conclusion

We found that maternal feeding was relatively stable over a year beginning at child age 21 months, suggesting that timing of interventions targeting maternal feeding may need to begin in infancy. We found no evidence that differences in feeding precede future changes in child weight status, nor that changes in weight status precede future changes in feeding. Overall, the pattern of results in our own and prior work suggests that maternal feeding either does not change in response to child weight status, or if it does change, it changes in such a way as to attempt to reduce excess adiposity. It seems unlikely that our null findings were due to power limitations, given that a number of prior studies with larger sample sizes have also had null results. It also seems unlikely that our null findings are only generalizable to a specific age range (toddlers), or a specific demographic group (low-income, U.S.), given that similar findings have been reported in samples across childhood and around the world. Additional studies that examine both child weight and maternal feeding longitudinally and employ cross-lagged analyses in large sample sizes with power to detect small but clinically significant effects will be important.

In summary, our results, which largely align with a small but growing body of evidence from longitudinal studies in the literature, call into question the value of targeting maternal feeding as a strategy for overweight prevention. The etiology of childhood obesity requires ongoing study. Future work on maternal feeding might consider focusing more closely on how mothers’ changes in feeding in response to children’s growth patterns may affect a range of outcomes related to psychological health, family functioning, and general well-being. Furthermore, providing mothers evidence-based guidance on how to change parenting to respond to a child’s excessive rate of weight gain is a critical need.

Acknowledgments

Sources of Support: R01HD069179

Abbreviations

WLZ

weight-for-length z-score

Footnotes

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Author Contributions:

JCL, KR, and ALM designed research; JCL, KR and ALM conducted research; LR and NK analyzed data; JCL wrote the paper; JCL had primary responsibility for final content. All authors read and approved the final manuscript.

Conflicts of Interest: The authors have no conflicts of interest to disclose.

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