Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2016 Oct 1.
Published in final edited form as: Pediatr Clin North Am. 2015 Jul 16;62(5):1241–1261. doi: 10.1016/j.pcl.2015.05.013

Addressing Childhood Obesity: Opportunities for Prevention

Callie L Brown 1, Elizabeth E Halvorson 2, Gail M Cohen 2,3, Suzanne Lazorick 4,5,6, Joseph A Skelton 2,3,7
PMCID: PMC4555982  NIHMSID: NIHMS697081  PMID: 26318950

INTRODUCTION

The prevalence of obesity in the United States remains dangerously high, at nearly 10% among infants and toddlers, 17% of children and teens, and more than 30% of adults1,2. While the prevalence has stabilized somewhat over the past few years1, rates of severe obesity have continued to climb, particularly in high-risk populations3. Intervening during childhood is important due to the persistence of obesity into adulthood with associated increased morbidity and mortality47. Comorbidities often affect children before they reach adulthood, requiring increased diligence in evaluating and treating these conditions810 and leading to increased healthcare expenditures11,12. The personal and emotional face of childhood obesity is also serious: daily quality of life can be significantly worsened by obesity13. The psychosocial complications of obesity include depression, body dissatisfaction, unhealthy weight control behaviors, stigmatization, and poor self-esteem13.

Groups have advocated for the prevention of obesity for some time, yet efforts to advance preventative interventions may have been limited by the difficulties and expense of long-term studies of a complex problem and increasing focus on treatments. Despite the progress over the past 20 years, there is not a clear solution or “one-size-fits-all” approach. The body of literature on proven prevention interventions is not robust, though cross-sectional and associational studies have identified risk factors to address, and practical experience has provided a foundation upon which to work with children and families. Childhood obesity is incredibly complex and reflects numerous systems that impact a child's health. Repetition of concepts can aid in approaching an issue as complex as childhood obesity; the Ecological Model of Childhood Obesity (Figure 1) provides a broad framework for understanding the mediators and moderators of childhood obesity. This overview highlights evidence-based factors on which clinicians can focus efforts to effectively prevent the development of childhood obesity. In this chapter, we will review both general and age-specific risk factors for pediatric obesity and discuss specific strategies for intervention at the level of the pediatrician, school, government, and family.

Figure 1.

Figure 1

Figure 1

Ecological Model of Childhood Obesity

RISK FACTORS

Genetic Risk Factors

Obesity is commonly known to “run in families.” The genetic contribution to this observation is difficult to discern, however, as families usually share not only genetic material but environments and habits as well. Obesity in children correlates with obesity in their parents, and the level of obesity in children increases when both parents are obese, as well as with increasing levels of obesity in the parents15. Indeed, it has been shown that parental overweight is the most significant risk factor for childhood overweight 16. Children's food choices and eating behaviors are learned from parents at very young ages and influence eating behaviors as children get older 17,18.

Although the vast majority of cases of childhood obesity are exogenous, a small proportion may have endogenous causes. The following genetic disorders, both syndromic as well as monogenic in origin, predispose children to obesity:

  • Syndromes: trisomy 21, Prader-Willi syndrome, Albright's hereditary osteodystrophy, Cohen syndrome, Bardet-Biedl syndromes, Alstrom syndrome, and WAGR (Wilms' tumor, aniridia, genitourinary anomalies, and retardation) 19,20.

  • Monogenic disorders: leptin deficiency, leptin receptor mutations, proopiomelanocortin deficiency, preproconvertase deficiency, and melanocortin 4 receptor mutations19.

  • Hormonal disorders: hypothyroidism, growth hormone deficiency, Cushing's syndrome, hypothalamic obesity, polycystic ovary syndrome, and hyperprolactinemia19.

Environmental/Societal Risk Factors

The child's living environment, both in the home as well as in the community, can contribute to a higher risk of development of obesity:

  • Living in lower-income, predominantly white, or non-mixed-race neighborhoods21.

  • Parents' perceptions of the food and physical activity environments in their neighborhoods

  • Difficulty getting to a main food store or difficulty purchasing fruits and vegetables there (food desert)

  • Increased distance from parks

  • Perceived danger of their neighborhood21

  • Food insecurity, although the evidence is mixed21,22

Behavioral Risk Factors

Nutrition and Diet

Although it might seem logical that increased total energy intake should be associated with a higher risk of childhood obesity, the evidence does not support this relationship 16,23. Similarly, the relationship between dietary fat intake and childhood obesity is not clearly established23. A lower intake of dairy products or calcium is associated with childhood obesity, but the data regarding intake of fruits and vegetables is mixed and does not indicate a strong association with childhood weight status 23,24. Beverage choice may increase risk for childhood obesity: fruit juice, especially in large quantities 23; sugar-sweetened beverages 23,25; and sodas 23,26,27 are all positively associated with childhood obesity.

Some specific eating behaviors have been associated with childhood obesity. Skipping breakfast 23,28,29; eating meals away from home, especially fast food 23; quicker eating pace30; larger portion sizes 23; and eating in the absence of hunger 30 are all positively associated with childhood obesity. No consistent association has been identified with frequent snacking23,31, while eating meals as a family is inversely associated with childhood obesity22,23.

While there can be conflicting evidence, or less-than-clear associations, clinicians can be confident in addressing intake of unhealthy foods, such as fast food, sugar-sweetened beverages, high-fat proteins and processed snacks, and encourage intake of healthy items, particularly fruits, vegetables, lean meats, and sugar-free beverages. Underneath the intake of these foods are the habits behind them, which the clinician should be cognizant of during an interaction: foods eaten away from home, eating in the absence of hunger, snacking and family meals. Awareness of these issues can assist clinicians in working with families to prevent the development of unhealthy habits and build healthy ones to prevent excessive weight gain.

Physical Activity

Overall, decreased physical activity among children is associated with obesity 16,23,32,33. Prospective studies objectively measuring physical activity have yielded inconsistent results; however, studies of either self-reported or parent-reported physical activity have demonstrated an inverse relationship between physical activity and both childhood and future adult obesity 32. An inverse relationship exists between some specific activity-related behaviors and childhood obesity, including sports team participation and active commuting to school 34.

Physical inactivity and sedentary behaviors are likely associated with childhood obesity 23,27,32, although the effect size may be small 16. Some prospective studies have found that more hours engaged in sedentary behavior, specifically watching TV or playing video games, was associated with an increased risk of becoming obese in the future 23,32; however, other studies found no association between sedentary behavior and childhood obesity35. Increased screen time, including television35 and electronic devices 36, is also associated with childhood obesity. While increased sedentary time and decreased physical activity are both associated with childhood obesity, they may not be inversely proportional. Regardless, efforts to lower the former and increase the latter will be key to preventing obesity development.

Sleep

While there is less evidence regarding sleep, it does appear that shorter sleep duration is associated with childhood obesity 22,37. Some prospective studies have borne out this association, both in the short term in young children 38 and in the long term, persisting into adulthood 39. In combination with other positive household routines (eating as a family and limiting screen time), obtaining adequate sleep has a strong inverse relationship with obesity among preschool-aged children 40.

Stress

The short- and long-term effects of stress on the development of obesity are an emerging area for research. There are several types of stress that can affect a child: personal, parental, and family. Each of these can increase the child's risk for obesity independently or in concert. Although the data is somewhat mixed, it is likely that there is a positive association between chronic stress and the risk of childhood obesity 41. This can manifest during childhood42 and may persist into adulthood43. In many studies, parental stress is associated with obesity in children; this relationship is strengthened when a parent experiences stress from more than one source41. Similarly, stress within the family is also associated with childhood obesity41 (Box 1).

DEVELOPMENTAL APPROACH TO OBESITY PREVENTION

Many of the risk factors outlined above, related to diet, physical and sedentary activity, and sleep, apply to children of many different ages. Other risk factors for pediatric obesity may apply at distinct development stages, offering specific opportunities for intervention by a primary care provider. These stage-specific risk factors have been identified as early as the prenatal period. While obesity in either parent may increase the child's risk, as discussed above, the mother's pre-pregnancy BMI and gestational weight gain have been directly associated with obesity in infancy and early childhood4447. Maintaining gestational weight gain within the Institute of Medicine guidelines48 (see Table 1) is especially important for women who are overweight or obese at the time of conception and should be an important component of prenatal counseling. Both over- and under-nutrition at this stage are thought to affect fetal programming and predispose to future obesity and metabolic disorders19,49. One recent meta-analysis identified a moderate association between delivery via cesarean section and offspring obesity, with persistence of the association into adulthood50. In addition, maternal exposure to tobacco45,51,52 and caffeine53 have both been associated with obesity at various points during gestation and throughout a child's life.

Table 1.

Anticipatory guidance and specific interventions by age and developmental stage

Nutrition Physical Activity/Other Specific Interventions

Prenatal Period - Avoid over- and under-nutrition during pregnancy - Avoid tobacco - Weight gain per IOM guidelines:
Underweight: 28-40lbs
Normal-weight: 25-35lbs
Overweight: 15-25lbs
Obese: 11-20lbs
- Avoid caffeine

Newborn-6 months - Exclusive breastfeeding until 6 months - Tummy time - Avoid broad-spectrum antibiotics if possible
- Only breastmilk or formula, no sugar sweetened beverages (SSB) - No screen time or television
- Be mindful of child's feeding cues
- Allow child to feed at their own pace
- Stop feeding when child is done
- Don't put to sleep while feeding
- No television, especially while feeding

6–12 months - Continued breastfeeding until 12 months and beyond - No screen time or television - Avoid broad-spectrum antibiotics if possible
- Introduce solids when developmentally ready (sit, open mouth on cue, close mouth around spoon)
- Encourage fruits and vegetables
- Finger foods with soft table foods
- Wide variety of textures and flavors
- Continue to offer foods that a child has previously not liked
- Structured meal and snack times

12–24 months - Limited sugar-sweetened beverages - <1 hour of screen time per day - Consider early bottle weaning
- Eat together as a family at structured meal and snack times - Avoid broad-spectrum antibiotics if possible
- Sit at table for all snacks, drinks, and meals
- Prepare foods in a variety of ways
- Limit eating at restaurants, especially fast food - Avoid restrictive or emotional feeding
- Let child choose how much of offered food to eat
- Encourage positive parent modeling habits
- Provide perspective on portion size

24–48 months - Realistic expectations for table manners - <2 hours of screen time per day - Avoid restrictive or emotional feeding habits
- 3 meals a day at set times
- No grazing between meals except for scheduled snacks

4–12 years - Set some basic rules, then allow child to choose after-school snack - At least 60 min of moderate to vigorous physical activity daily - Consider technological interventions

13–18 years - Allow child to take responsibility for choosing and eating meals away from home - 60 min physical activity daily - Consider technological interventions
- Expect child to be hungry at dinner
- Teach how to plan and prepare meals and snacks - Involve peer groups in interventions

Additional risk factors become evident in infancy. High birth weight and rapid infant weight gain correlate with future childhood obesity45, although they may be difficult to address specifically as modifiable risk factors. Many studies have attempted to determine optimal dietary intake during infancy, but the results are conflicting. While many studies suggest that breastfeeding is protective against the development of obesity45,54,55, others show no relationship56,57. These differing results may be due to confounders present in the study; for example, it has been shown that lower protein content in infant formula is protective against obesity at 6 years, so studies on breastfeeding may differ based on the types of formula used by control infants. Results have also been mixed when assessing the effects of duration of breastfeeding45. It has been suggested that it is the infant's degree of self-regulation while breastfeeding rather than the composition of breastmilk which may be protective, so that bottle-feeding either formula or pumped breastmilk may be associated with increased risk58.

Complementary foods represent another important dietary change during infancy, and both the timing of introduction and food selection may impact future risk of obesity. Early introduction of solids (defined as ages <3 to 5 months depending on the study) may be associated with increased childhood overweight59. Similarly, one systematic review concludes that higher intake of protein and energy during infancy can be associated with increased BMI60, although other studies conclude that no specific complementary foods are associated with increased risk61. Overall, the available evidence makes it difficult to establish firm guidelines for infants' dietary intake.

Other exposures in infancy have also been investigated. Use of broad-spectrum antibiotics, especially with repeated exposures prior to 23 months of age, has a small but significant association with obesity in early childhood62. Studies have yielded mixed results for family socioeconomic status, maternal parity, and maternal marital status45. Finally, temperament traits identified as early as infancy, especially early negativity and lack of self-regulation, may predispose to later obesity63,64.

Child temperament and parental feeding practices remain important predictors of obesity for toddlers and preschool-aged children. The concerning character traits are thought to be similar to those seen in infancy, particularly poor self-regulation and distress to limitations64. Part of the mechanism of this association may reflect parental response to the child's temperament, especially if parents initiate restrictive feeding practices given concerns over self-regulation or use emotional feeding habits, such as providing obesogenic foods to soothe a negative child61,64. Children are typically weaned from the bottle as toddlers; the timing of this transition may affect obesity risk. At earlier ages (between 12–36 months), there is an association between current bottle use and obesity, but this was not seen at later ages (37–60 months)65. Furthermore, an intervention centered on bottle-weaning effectively reduced total caloric intake in children but did not change overweight status66, so the degree to which prolonged bottle use contributes to obesity risk is unclear.

Although sedentary behavior and screen time are concerns for children of all ages, one systematic review suggests that preschool children are most amenable to interventions addressing this risk factor67. Weight gain in this age group is known to be highly predictive of later obesity, with an earlier adiposity rebound (at less than 5 years old) associated with both BMI and adiposity at age 15 years68. Therefore, this is an important age group to target as effective interventions are identified.

Most studies of obesity in school-aged children focus on interventions delivered within the school system, which will be discussed later under Policy and Environmental Interventions. However, some research has shown that children with overweight and obesity actually gain more weight during the summer months than during the school year69,70, suggesting that interventions outside of school should also be investigated. The primary difference noted between the school year and summertime is in the level of physical activity70. One intervention that has shown success in increasing physical activity in this age group, as well as adolescents, is exergaming, or use of electronic games designed to promote physical exercise71. While the video game experience makes activity more entertaining for children, use of exergames in several studies was found to increase energy expenditure and time spent on physical activity and to reduce waist circumference71. These findings suggest that targeting known risk factors during the summer months may be especially important for obesity prevention at this age.

Use of technology for obesity prevention continues to be important in the adolescent age group. Technology-based interventions targeting both diet and exercise have been shown to be effective in this population, although there is wide variation among studies72. Peer groups also take on increased importance during adolescence, and research has attempted to determine how this influences the risk of obesity. Peers are able to influence diet and activity levels in both positive and negative ways73,74, so the inclusion of the peer group in interventions targeting adolescents is important74.

Adolescence is a time of significant biological changes, most notably puberty. While there is a clear association between early puberty and obesity, it is difficult to determine cause and effect since pre-pubertal BMI influences the timing of puberty49. Some studies have demonstrated an effect of early puberty on subsequent adiposity and fat distribution, but results have been mixed49. Severe obesity in adolescence has been directly associated with poor health outcomes in adulthood75, which makes prevention in this age group especially important. In addition, as they represent the next generation of parents, establishment of healthy lifestyle habits in the adolescent population has the potential to decrease the obesity risk of subsequent generations (Box 2).

ROLE OF THE PRIMARY CARE PROVIDER

Primary care providers play a unique role in the prevention of obesity as they see the same patients and families, often from birth, on a regular basis (Box 3). This gives them the opportunity to provide anticipatory guidance and counseling that can influence families' nutrition and physical activity habits. As discussed above, it is well established that there are strong familial links to obesity, both genetic15,16 and environmental18. These influences do not dictate fate, however. By recognizing risk factors early in a child's life, primary care providers can help families make positive changes that will improve a child's weight trajectory76.

Pediatricians should screen for obesity by measuring height and weight and calculating BMI at least annually7779. By following children closely over time, physicians are in the position to detect weight problems by observing trends, such as a rapidly increasing BMI, even before a child becomes overweight. When a child is discovered to be overweight or at risk for becoming overweight, physicians should provide brief counseling and suggest weight control interventions77,79. We recommend that clinicians use motivational interviewing techniques (see Figure 2)77,8083 when counseling patients and their families about making life changes.

Figure 2.

Figure 2

Motivational Interviewing to Help Families Make Positive Changes to Prevent Obesity

Primary care providers offer anticipatory guidance about nutrition and physical activity at each well child check. This anticipatory guidance should be age appropriate and can significantly shape how and what parents feed their children. All children, even those of a healthy weight, benefit from counseling about general health and wellness, and this does not need to be framed around weight. Recommended anticipatory guidance for each age range is outlined in table 1 23,32,77,8495.

Primary care providers should advocate for their patients and families; to build community-wide efforts to prevent obesity, clinicians can look to successful models in other areas to support their efforts. The chronic care model96 provides a useful framework for pediatricians to provide care to children who are overweight or obese. The chronic care model recognizes that families' self-management is dependent on support both from the medical system and their surrounding environment, such as school, work, and the community. Ideally, primary care physicians should be connected with numerous community resources, such as nutrition and exercise programs77,96. The chronic care model has been successfully implemented by health-related organizations such as Kaiser Permanente, that provided education for providers in motivational interviewing, and Wellpoint, that distributed parental toolkits to families in clinic77.

Advocating for children's health and healthcare is an important role for pediatricians to embrace on both a local and national level, examples of areas for advocacy include:

  • Third-party reimbursement to ensure that children continue to have access to services necessary for obesity prevention and treatment, such as yearly BMI screening and well-visits with their primary care provider

  • Funding for research to prevent childhood obesity

  • Promotion of healthy foods and beverages and physical activities in schools and daycares

  • Maintenance of safe neighborhoods that encourage physical activity

  • Availability of healthy food26

POLICY AND ENVIRONMENTAL INTERVENTIONS

Using the Socio-ecologic Model as a guide14 on a societal level, policy and environmental interventions have the potential to exert the farthest-reaching influence in thwarting obesity97. Policy changes can address physical, economic, social or communication factors and may range in scope of efforts that target:

  • A whole population: national or state legislation; industry-wide improvements; social marketing), or

  • Population subsets or large groups: state or regional ordinances, or

  • Local or smaller groups: single organization or community98.

Policies can be formal documented standards or laws, or informal practices (e.g. a medical office giving patients stickers vs. candy). The over-arching goals are for policies to prevent obesity by: 1) increasing awareness of and actions to change attitudes and norms to support healthy energy balance; 2) making healthy options for physical activity and nutrition readily available and, where possible, the default choices; and 3) reducing barriers to making healthy choices.

For maximal impact, policy changes should be informed by the existing science of obesity prevention and established theories of behavior change, such as Social Cognitive Theory99, Self-Determination Theory100, and/or the Trans Theoretical Model of Behavior Change101, and subsequently evaluated by rigorous studies demonstrating both feasibility and effectiveness. Optimally, studies of policy are thoroughly evaluated with application of appropriate methods such as the RE-AIM (Reach, Effectiveness, Adoption, Implementation and Maintenance) framework102. Where large studies have not been completed, efforts should be evidence-informed and practice-tested103. Once enacted, there should be ongoing monitoring of fidelity and accountability of policies for effectiveness and use of resources, with attention to social factors that contribute to inequality in access to healthy choices. Although the body of literature assessing polices for obesity prevention is growing, there are still many areas actively under study or for which evidence is inadequate for a definitive recommendation for wide scale adoption98,104.

Select examples illustrative of policies with growing support and/or evidence and ranging in scope are shown in Table 2, and for specific settings in which children spend substantial time are shown in Table 3

Table 2.

Policy examples: Ranging in Scope

Scope Examples of policies or environmental strategies

Site-specific • Banks, stores, professionals give incentives for children that do not contribute to unhealthful habits or energy imbalance (example: stickers instead of candy; balloons instead of cookies)c
• Corner stores and quick marts offer low fat/sugar snacks, fruits and vegetablesb
• Entertainment venues offer healthful options, water; allow outside (home-packed) foodsc
• Point of decision prompts- (elevator vs. stairs initiatives; menu, cafeteria or buffet signage and promptsa

Local • Establish shared use agreements for physical activity space and equipmentb
• Promote ways to allow active transport to and from school (bike lanes and racks, crossing guards, group walks to school)b
• Emphasize maintaining or re-establishing time for recess, physical activity, physical educationb
• Support school and community gardens, partnerships with local farmersc
• Access to safe, free drinking water in recreation environmentsb

State • Subsidies for schools/childcare sites for provision of healthy foodsa
• Incentives for grocers in rural or urban areasc
• Mechanism for small vendors (farmers markets) to take SNAP (“food stamps”) cardsc
• Medicaid coverage for dietician services and preventive counselingc
• Support for increasing sites and access for recreationa

National • Healthy and Hunger Free Kids Act (HHFKA), including standards for meals in school (e.g the National School Lunch Program)a
• Changes to Women, Infant and Children (WIC) food package and Supplemental Nutrition Assistance Program (SNAP) policiesa
• Changes to SNAP-Ed guidance for educational programsa
• Menu labeling for restaurantsb
• Laws addressing advertising to childrenc
• Food and beverage industry incentivesc

International • Published guidelines for member states for population level strategies for obesity prevention across settings105
a

Evidence or existing systematic review to support98.

b

Emerging strategy but more data needed98.

c

Sample policy change needing pilot data and further study

Table 3.

Examples of Policies and Programs in Settings where Children Spend Substantial Time

Setting Example program Description

General efforts may target • Education about energy balance and negative health effects of obesity
• Promotion of more opportunities for and enjoyment of physical activity
• Offering age-appropriate portion sizes following USDA guidelines
• Assuring program staff are knowledgeable and appropriately trained
• Establishing and implementing local wellness polices
• Improving quality and time in Physical Education (PE); working to designate PE as a core subject

Childcare • Nutrition And Physical Activity Self-Assessment for Child Care (NAP SACC; www.goNAPSACC.org)a • Self-assessment, action planning, and educational tools to help early care and education programs set goals and make improvements to their nutrition and physical activity practices.

Elementary school • Coordinated Approach To Child Health (CATCH, www.CATCHinfo.orR)), based on evidence from the Child and Adolescent Trial for Cardiovascular Healtha • Multifaceted intervention in elementary schools grades K-5: implemented in the classroom, cafeteria, PE and families to foster healthy behaviors in diet and PA106
• SPARK program to improve physical education (www.SPARKPE.org)a • Toolkit and training for schools to improve and increase PA time in PE

Middle School • Motivating Adolescents with Technology to CHOOSE Health™ (MATCH; www.MATCHwellness.org)b • Combined multidisciplinary educational-behavioral wellness intervention embedded in curriculum in 7th graders taught by classroom teachers over 4–5 months to build skills in healthy choices107

After school • SPARK afterschoolb (www.SPARKPE.org) • As above for SPARK, targeting afterschool settings
• Move More NC: Recommended Standards for Afterschool Physical Activityb • Recommended standards for afterschool programs to increase and enhance quality of PA time108
a

Evidence or existing systematic review to support the strategies included in this program.

b

Addresses components with supporting evidence but further studies needed.

Notable recent progress in the policy arena has occurred in standards for food programs affecting children including application of the 2010 United States Department of Agriculture (USDA) Dietary Guidelines for Americans to schools109 and science–based nutrition standards for meals offered in daycare and after-school programs through the pending Child and Adult Care Food Program (CACFP). These changes are largely a result of passage of the Healthy and Hunger-free Child Act of 2010 that was motivated in large-part to curb the obesity epidemic110. The Act included several components to ensure meals served to children include more fruits and vegetables, whole grains, and less sugar and fat, while also promoting breastfeeding and increasing access to healthy beverages (water, low-fat or fat free milk). Related changes are evident in the revised food package offered to participant in the Women, Infants and Children (WIC) program since 2007 and broadening of educational messages and materials supported by the Supplemental Nutrition Assistance Education Program (SNAP-Ed) Programs to include emphasis on energy balance and obesity prevention.

Despite progress in recent decades, there remain many areas for which evidence is insufficient or policies are lacking, emerging or facing challenges97. Although there are signs of growing partnership, remaining barriers include involvement of the food industry, marketing, and entertainment venues along with pervasive social and cultural attitudes and influences. Resistance may exist due to factors such as economic pressures or underlying fundamental political or philosophical tension between government vs. individual/parent rights and freedom of choice. Some barriers may be reduced as more evidence demonstrates links between academic performance and health/obesity status or health behaviors (to support policy changes in the school setting) or the economic benefits of a healthier population/workforce to factors such as defense preparedness and economic measures (to support changes in business and industry).

Pediatricians, primary care providers and any professional or individual with an interest in obesity prevention for children can actively support efforts in policy or environmental changes through lending expertise, providing advocacy or local support, or by leading and role modeling in one's own work setting and community (Box 4).

THE FAMILY

While environmental pressures at the national and community level contribute greatly to a child's risk of obesity, “families are the most central and enduring influence in children's lives… The health and well-being of children are inextricably linked to their parents' physical, emotional and social health, social circumstances, and child-rearing practices” (Schor 2003, page 1542)111. Inclusion of the family is established as the gold standard of treatment77. The same can and should be said for the prevention of obesity. As mentioned previously, a child's risk of obesity is greatly influenced by parental weight status. While the genetic contribution to the child's weight is great, the environmental influence is likely greater: parental obesity can predict genetic susceptibility, but a child's environment can determine the expression and severity of that risk112. Despite any genetic predisposition to obesity, the environment is likely the greatest potentially modifiable determinant of obesity, with the family being the most proximate of that environment. Determining exact familial components contributing to a child's weight is difficult, however, given the changing nature of families over the past few decades, and the complexity of studying and conceptualizing families113. As presently understood, family-related risk-factors for childhood obesity include114:

  • Minority ethnic and cultural background

  • Single parent household

  • Lower maternal education

  • Parent obesity status and family history of obesity

  • Poverty: receipt of supplemental food assistance

  • Higher levels of television viewing of family, particularly during meals, amounts and locations (bedrooms)

  • Restrictive parental feeding practices

Of the risk factors above (out of a total of 22 studied), parental feeding practices and parent BMI were most associated with child weight status (child sleep duration was also determined to be significantly associated)114. These findings are preliminary, as the extensive, long-term studies necessary to link risk with later obesity development have not yet been performed. Clinicians should customize risk assessments to each family, knowing that sound anticipatory guidance can be safely provided to all families regardless of weight status and risk for later obesity.

Parenting styles and the risk of childhood obesity have been investigated extensively, though there are many areas still in need of study. As with many aspects of complex problems, such as childhood obesity, long-term definitive studies are lacking. However, research over the past decade has provided useful information about this interaction.115,116,117,118,119. Parenting styles are based on two dimensions of parenting: (1) demandingness, or demand for child self-control and (2) responsiveness, or sensitivity and emotional involvement. With a 2×2 table, this gives four distinct parenting styles: authoritative, authoritarian, permissive, and neglectful (Table 4). Authoritative parents had children with the lowest prevalence of obesity in Rhee's study of 1st graders, while authoritarian, or strict disciplinarian, parents had children with the highest prevalence of obesity, more than even permissive or neglectful parents. These findings are important, as parents of children with obesity could be more likely to institute dieting or restrictive behaviors to help their children lose weight. While this has not been proven or extensively studied, it provides guidance to clinicians and parents encouraging an authoritative approach to parenting, and specifically feeding, their children. A non-restrictive approach to early childhood feeding, while providing structure and healthy meals, is important for parents of young children to ensure healthy eating habits.

Table 4.

Parenting Styles

High expectations for self-control Low expectations for self-control

High Sensitivity Authoritative: respects child's opinions but with clear boundaries Permissive: minimal discipline, indulgent of child

Low Sensitivity Authoritarian: strict, significant discipline Neglectful: no boundaries or discipline, minimally involved with child

Data from refs117,123,124

The bulk of parenting research and prevention of childhood obesity relates to early childhood feeding, though many principles can likely be extended to older age groups. Analysis of an older study identified the importance of healthy parenting skills, even if the focus is not obesity or weight-related behaviors120. Brotman et al reviewed outcomes of children at high risk for behavioral problems and high risk for obesity120. These children and their parents were part of an intervention aimed to improve parenting skills at age 4, then followed for 3–5 years. The intervention group had significantly lower prevalence of obesity as well as healthier nutrition and activity habits than control groups, despite the intervention not having a focus on nutrition, activity, or weight. Another representation of the importance of family is the influence of regular family meals, which appear to improve the nutritional status and weight of children121, and “bleeds over” to improve family relationships and decrease risky behaviors122. Positive interaction between members during family meals may contribute just as much to these positive outcomes as changes in nutritional intake121.

Despite this promising research, there are no clear answers on how to become an “obesity-resistant family.” Future research must account for the complexity of families and may utilize established approaches, such as family systems theory, which views the family as more than the sum of its parts and respects its complex dynamics and function113. Increasing focus on family dynamics and communication will be key to successfully preventing childhood obesity within the context of the family (Box 5).

SUMMARY

Childhood obesity is a complex medical issue, representing the interplay of physical and environmental factors. The neuroendocrine control of weight includes multiple situations where genetic variation can influence a person's weight status. Unfortunately, the unhealthy evolution of food and activity environments has placed children at a higher risk for obesity and associated weight problems than they ever have been before. Although significantly more research is needed to optimize these strategies, interventions at the level of the pediatrician, school, government, and family have shown success in the prevention of childhood obesity.

SYNOPSIS.

The overweight and obesity epidemic among children and adolescents in the United States continues to worsen, with notable racial, ethnic, and socioeconomic disparities. Risk factors for pediatric obesity include genetics; environmental and neighborhood factors; increased intake of sugar-sweetened beverages, fast-food, and processed snacks; decreased physical activity; shorter sleep duration; and increased personal, prenatal, or family stress. Pediatricians can help prevent obesity by measuring body mass index at least yearly and providing age and development-appropriate anticipatory guidance to families. Public policies and environmental interventions aim to make it easier for children to make healthy nutrition and physical activity choices. Interventions focused on family habits and parenting strategies have also been successful at preventing or treating childhood obesity.

KEY POINTS.

  • Childhood obesity is a complex medical issue, representing the interplay of physical and environmental factors.

  • The neuroendocrine control of weight includes multiple situations where genetic variation can influence a person's weight status.

  • The unhealthy evolution of food and activity environments has placed children at a higher risk for obesity and associated weight problems than they ever have been before.

Box 1. Review of Risk Factors for Pediatric Obesity.

  • Genetic Syndromes, monogenic disorders, or hormonal disorders

  • Living in neighborhoods that are lower-income, predominantly non-mixed-race, perceived as dangerous, or are an increased distance from parks and foods stores

  • Increased intake of sugar-sweetened beverages, fast food, and processed snacks

  • Decreased physical activity

  • Shorter sleep duration

  • Increased personal, prenatal, or family stress

Box 2. Review of Developmental Approach to Obesity Prevention.

  • Prenatal – appropriate gestational weight gain, no tobacco exposure

  • Infancy – minimize rapid weight gain, later introduction of solid foods, avoid broad-spectrum antibiotics as possible

  • Toddlers – encourage self-regulation of feeding and lots of physical activity

  • School-aged children – exergaming, use of technology-based interventions to improve nutrition and physical activity

  • Adolescents – include peer groups in interventions

Box 3. Review of the Primary Care Provider's Role in Preventing Obesity.

  • Measure height and weight and calculate BMI at least annually, observing for trends such as a rapid increase in BMI

  • Offer anticipatory guidance about nutrition and physical activity at every well child check

  • Use motivational interviewing to help families to make healthier choices

  • Advocate for children on a local and national level

Box 4. Review of Policy and Environmental Interventions to Prevent Obesity.

  • Improve attitudes and norms to support healthy energy balance

  • Make healthy options for physical activity and nutrition easy and the default choices

  • Reduce barriers to making healthy nutrition and physical activity choices

  • Substantial progress has been made- policy changes are underway and are being evaluated

Box 5. Review of the Family's Role in Preventing Pediatric Obesity.

  • Include the entire family in obesity prevention and treatment

  • Act as positive role models to children regarding healthy nutrition, physical activity, and emotional and social health

  • Practice authoritative, not authoritarian, parenting styles

  • Have a non-restrictive approach to early childhood feeding

  • Provide structure

  • Have regular family meals

Acknowledgments

Support: Supported in part by a grant from NICHD/NIH Mentored Patient-Oriented Research Career Development Award K23 HD061597 (JAS) and from the Health Recourses and Service Administration National Research Service Award (NRSA) grant T32 HP14001 (CLB).

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

The authors have no other financial disclosures to make.

REFERENCES

  • 1.Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA. 2014;311(8):806–814. doi: 10.1001/jama.2014.732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011–2012. JAMA. 2014;311(8):806–814. doi: 10.1001/jama.2014.732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Skinner AC, Skelton JA. Prevalence and Trends in Obesity and Severe Obesity Among Children in the United States, 1999–2012. JAMA pediatrics. 2014 doi: 10.1001/jamapediatrics.2014.21. [DOI] [PubMed] [Google Scholar]
  • 4.Field AE, Cook NR, Gillman MW. Weight status in childhood as a predictor of becoming overweight or hypertensive in early adulthood. Obes Res. 2005;13(1):163–169. doi: 10.1038/oby.2005.21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Guo SS, Wu W, Chumlea WC, Roche AF. Predicting overweight and obesity in adulthood from body mass index values in childhood and adolescence. Am J Clin Nutr. 2002;76(3):653–658. doi: 10.1093/ajcn/76.3.653. [DOI] [PubMed] [Google Scholar]
  • 6.Inge TH, King WC, Jenkins TM, et al. The effect of obesity in adolescence on adult health status. Pediatrics. 2013;132(6):1098–1104. doi: 10.1542/peds.2013-2185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH. Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med. 1997;337(13):869–873. doi: 10.1056/NEJM199709253371301. [DOI] [PubMed] [Google Scholar]
  • 8.Kim G, Caprio S. Diabetes and insulin resistance in pediatric obesity. Pediatr Clin North Am. 2011;58(6):1355–1361. ix. doi: 10.1016/j.pcl.2011.09.002. [DOI] [PubMed] [Google Scholar]
  • 9.Cook S, Kavey RE. Dyslipidemia and pediatric obesity. Pediatr Clin North Am. 2011;58(6):1363–1373. ix. doi: 10.1016/j.pcl.2011.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Mencin AA, Lavine JE. Advances in pediatric nonalcoholic fatty liver disease. Pediatr Clin North Am. 2011;58(6):1375–1392. x. doi: 10.1016/j.pcl.2011.09.005. [DOI] [PubMed] [Google Scholar]
  • 11.Wang YC, McPherson K, Marsh T, Gortmaker SL, Brown M. Health and economic burden of the projected obesity trends in the USA and the UK. Lancet. 2011;378(9793):815–825. doi: 10.1016/S0140-6736(11)60814-3. [DOI] [PubMed] [Google Scholar]
  • 12.Cawley J. The economics of childhood obesity. Health affairs. 2010;29(3):364–371. doi: 10.1377/hlthaff.2009.0721. [DOI] [PubMed] [Google Scholar]
  • 13.Vander Wal JS, Mitchell ER. Psychological complications of pediatric obesity. Pediatr Clin North Am. 2011;58(6):1393–1401. x. doi: 10.1016/j.pcl.2011.09.008. [DOI] [PubMed] [Google Scholar]
  • 14.Davison KK, Birch LL. Childhood overweight: a contextual model and recommendations for future research. Obesity reviews. 2001;2(3):159–171. doi: 10.1046/j.1467-789x.2001.00036.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Garn SM, Clark DC, Lowe CU, et al. Trends in fatness and the origins of obesity. Pediatrics. 1976;57(4):443–456. [PubMed] [Google Scholar]
  • 16.Agras WS, Mascola AJ. Risk factors for childhood overweight. Current opinion in pediatrics. 2005;17(5):648–652. doi: 10.1097/01.mop.0000172818.87261.ab. [DOI] [PubMed] [Google Scholar]
  • 17.Birch LL, Fisher JO. Development of eating behaviors among children and adolescents. Pediatrics. 1998;101(Supplement 2):539–549. [PubMed] [Google Scholar]
  • 18.Birch LL, Davison KK. Family environmental factors influencing the developing behavioral controls of food intake and childhood overweight. Pediatric Clinics of North America. 2001;48(4):893–907. doi: 10.1016/s0031-3955(05)70347-3. [DOI] [PubMed] [Google Scholar]
  • 19.Savona-Ventura C, Savona-Ventura S. The inheritance of obesity. Best Practice & Research Clinical Obstetrics & Gynaecology. 2014 doi: 10.1016/j.bpobgyn.2014.07.023. [DOI] [PubMed] [Google Scholar]
  • 20.Mason K, Page L, Balikcioglu PG. Screening for Hormonal, Monogenic, and Syndromic Disorders in Obese Infants and Children. Pediatric annals. 2014;43(9):e218–e224. doi: 10.3928/00904481-20140825-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ohri-Vachaspati P, DeLia D, DeWeese RS, Crespo NC, Todd M, Yedidia MJ. The relative contribution of layers of the Social Ecological Model to childhood obesity. Public health nutrition. 2014:1–12. doi: 10.1017/S1368980014002365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Ogata BN, Hayes D. Position of the Academy of Nutrition and Dietetics: Nutrition Guidance for Healthy Children Ages 2 to 11 Years. Journal of the Academy of Nutrition and Dietetics. 2014;114(8):1257–1276. doi: 10.1016/j.jand.2014.06.001. [DOI] [PubMed] [Google Scholar]
  • 23.Davis MM, Gance-Cleveland B, Hassink S, Johnson R, Paradis G, Resnicow K. Recommendations for prevention of childhood obesity. Pediatrics. 2007;120(Suppl 4):S229–253. doi: 10.1542/peds.2007-2329E. [DOI] [PubMed] [Google Scholar]
  • 24.Field AE, Gillman MW, Rosner B, Rockett HR, Colditz GA. Association between fruit and vegetable intake and change in body mass index among a large sample of children and adolescents in the United States. International journal of obesity. 2003;27(7):821–826. doi: 10.1038/sj.ijo.0802297. [DOI] [PubMed] [Google Scholar]
  • 25.Pan L, Li R, Park S, Galuska DA, Sherry B, Freedman DS. A longitudinal analysis of sugar-sweetened beverage intake in infancy and obesity at 6 years. Pediatrics. 2014;134(Supplement 1):S29–S35. doi: 10.1542/peds.2014-0646F. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Lee V. Promising strategies for creating healthy eating and active living environments. Convergence Partnership. 2011 [Google Scholar]
  • 27.Seo D-C, King MH, Kim N, Sovinski D, Meade R, Lederer AM. Predictors for Persistent Overweight, Deteriorated Weight Status, and Improved Weight Status During 18 Months in a School-Based Longitudinal Cohort. American Journal of Health Promotion. 2014 doi: 10.4278/ajhp.131118-QUAN-585. [DOI] [PubMed] [Google Scholar]
  • 28.Gleason PM, Dodd AH. School breakfast program but not school lunch program participation is associated with lower body mass index. Journal of the American Dietetic Association. 2009;109(2):S118–S128. doi: 10.1016/j.jada.2008.10.058. [DOI] [PubMed] [Google Scholar]
  • 29.Timlin MT, Pereira MA, Story M, Neumark-Sztainer D. Breakfast eating and weight change in a 5-year prospective analysis of adolescents: Project EAT (Eating Among Teens) Pediatrics. 2008;121(3):e638–e645. doi: 10.1542/peds.2007-1035. [DOI] [PubMed] [Google Scholar]
  • 30.Obregón AM, Pettinelli PP, Santos JL. Childhood obesity and eating behaviour. Journal of Pediatric Endocrinology and Metabolism. 2014 doi: 10.1515/jpem-2014-0206. [DOI] [PubMed] [Google Scholar]
  • 31.Larson N, Story M. A review of snacking patterns among children and adolescents: what are the implications of snacking for weight status? Childhood Obesity. 2013;9(2):104–115. doi: 10.1089/chi.2012.0108. [DOI] [PubMed] [Google Scholar]
  • 32.Must A, Tybor D. Physical activity and sedentary behavior: a review of longitudinal studies of weight and adiposity in youth. International Journal of Obesity. 2005;29:S84–S96. doi: 10.1038/sj.ijo.0803064. [DOI] [PubMed] [Google Scholar]
  • 33.Chaput JP, Lambert M, Mathieu ME, Tremblay M, O'Loughlin J, Tremblay A. Physical activity vs. sedentary time: independent associations with adiposity in children. Pediatric obesity. 2012;7(3):251–258. doi: 10.1111/j.2047-6310.2011.00028.x. [DOI] [PubMed] [Google Scholar]
  • 34.Drake KM, Beach ML, Longacre MR, et al. Influence of sports, physical education, and active commuting to school on adolescent weight status. Pediatrics. 2012;130(2):e296–e304. doi: 10.1542/peds.2011-2898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Tremblay MS, LeBlanc AG, Kho ME, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. The international journal of behavioral nutrition and physical activity. 2011;8(1):98. doi: 10.1186/1479-5868-8-98. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Chahal H, Fung C, Kuhle S, Veugelers P. Availability and night time use of electronic entertainment and communication devices are associated with short sleep duration and obesity among Canadian children. Pediatric obesity. 2013;8(1):42–51. doi: 10.1111/j.2047-6310.2012.00085.x. [DOI] [PubMed] [Google Scholar]
  • 37.Appelhans BM, Fitzpatrick SL, Li H, et al. The home environment and childhood obesity in low-income households: indirect effects via sleep duration and screen time. BMC public health. 2014;14(1):1160. doi: 10.1186/1471-2458-14-1160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Bell JF, Zimmerman FJ. Shortened nighttime sleep duration in early life and subsequent childhood obesity. Archives of pediatrics & adolescent medicine. 2010;164(9):840–845. doi: 10.1001/archpediatrics.2010.143. [DOI] [PubMed] [Google Scholar]
  • 39.Al Mamun A, Lawlor DA, Cramb S, O'Callaghan M, Williams G, Najman J. Do childhood sleeping problems predict obesity in young adulthood? Evidence from a prospective birth cohort study. American journal of epidemiology. 2007;166(12):1368–1373. doi: 10.1093/aje/kwm224. [DOI] [PubMed] [Google Scholar]
  • 40.Anderson SE, Whitaker RC. Household routines and obesity in US preschool-aged children. Pediatrics. 2010;125(3):420–428. doi: 10.1542/peds.2009-0417. [DOI] [PubMed] [Google Scholar]
  • 41.Wilson SM, Sato AF. Stress and paediatric obesity: What we know and where to go. Stress and Health. 2014;30(2):91–102. doi: 10.1002/smi.2501. [DOI] [PubMed] [Google Scholar]
  • 42.Evans GW, Fuller-Rowell TE, Doan SN. Childhood cumulative risk and obesity: the mediating role of self-regulatory ability. Pediatrics. 2012;129(1):e68–e73. doi: 10.1542/peds.2010-3647. [DOI] [PubMed] [Google Scholar]
  • 43.Fuemmeler BF, Dedert E, McClernon FJ, Beckham JC. Adverse childhood events are associated with obesity and disordered eating: Results from a US population-based survey of young adults. Journal of traumatic stress. 2009;22(4):329–333. doi: 10.1002/jts.20421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Heerman WJ, Bian A, Shintani A, Barkin SL. Interaction between maternal prepregnancy body mass index and gestational weight gain shapes infant growth. Academic pediatrics. 2014;14(5):463–470. doi: 10.1016/j.acap.2014.05.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Weng SF, Redsell SA, Swift JA, Yang M, Glazebrook CP. Systematic review and meta-analyses of risk factors for childhood overweight identifiable during infancy. Archives of disease in childhood. 2012;97(12):1019–1026. doi: 10.1136/archdischild-2012-302263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Yu Z, Han S, Zhu J, Sun X, Ji C, Guo X. Pre-pregnancy body mass index in relation to infant birth weight and offspring overweight/obesity: a systematic review and meta-analysis. PloS one. 2013;8(4):e61627. doi: 10.1371/journal.pone.0061627. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Lau EY, Liu J, Archer E, McDonald SM, Liu J. Maternal Weight Gain in Pregnancy and Risk of Obesity among Offspring: A Systematic Review. Journal of obesity. 2014;2014 doi: 10.1155/2014/524939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Medicine Io, Medicine Io. Weight gain during pregnancy: reexamining the guidelines. The National Academies Press; Washington, DC: 2009. [PubMed] [Google Scholar]
  • 49.Adair LS. Child and adolescent obesity: epidemiology and developmental perspectives. Physiology & behavior. 2008;94(1):8–16. doi: 10.1016/j.physbeh.2007.11.016. [DOI] [PubMed] [Google Scholar]
  • 50.Li H, Zhou Y, Liu J. The impact of cesarean section on offspring overweight and obesity: a systematic review and meta-analysis. International Journal of Obesity. 2012;37(7):893–899. doi: 10.1038/ijo.2012.195. [DOI] [PubMed] [Google Scholar]
  • 51.Møller SE, Ajslev TA, Andersen CS, Dalgård C, Sørensen TI. Risk of childhood overweight after exposure to tobacco smoking in prenatal and early postnatal life. PloS one. 2014;9(10):e109184. doi: 10.1371/journal.pone.0109184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Oken E, Levitan E, Gillman M. Maternal smoking during pregnancy and child overweight: systematic review and meta-analysis. International journal of obesity. 2007;32(2):201–210. doi: 10.1038/sj.ijo.0803760. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Li D, Ferber J, Odouli R. Maternal caffeine intake during pregnancy and risk of obesity in offspring: a prospective cohort study. International Journal of Obesity. 2014 doi: 10.1038/ijo.2014.196. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Imai CM, Gunnarsdottir I, Thorisdottir B, Halldorsson TI, Thorsdottir I. Associations between Infant Feeding Practice Prior to Six Months and Body Mass Index at Six Years of Age. Nutrients. 2014;6(4):1608–1617. doi: 10.3390/nu6041608. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Oddy WH, Mori TA, Huang R-C, et al. Early infant feeding and adiposity risk: from infancy to adulthood. Annals of Nutrition and Metabolism. 2014;64(3–4):262–270. doi: 10.1159/000365031. [DOI] [PubMed] [Google Scholar]
  • 56.Vehapoglu A, Demir AD, Turkmen S, Nursoy M, Ozkaya E. Early infant feeding practice and childhood obesity: the relation of breast-feeding and timing of solid food introduction with childhood obesity. Journal of Pediatric Endocrinology and Metabolism. 2014;27(11–12):1181–1187. doi: 10.1515/jpem-2014-0138. [DOI] [PubMed] [Google Scholar]
  • 57.Jing H, Xu H, Wan J, et al. Effect of Breastfeeding on Childhood BMI and Obesity: The China Family Panel Studies. Medicine. 2014;93(10):e55. doi: 10.1097/MD.0000000000000055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Li R, Fein SB, Grummer-Strawn LM. Do infants fed from bottles lack self-regulation of milk intake compared with directly breastfed infants? Pediatrics. 2010;125(6):e1386–e1393. doi: 10.1542/peds.2009-2549. [DOI] [PubMed] [Google Scholar]
  • 59.Pearce J, Langley-Evans S. The types of food introduced during complementary feeding and risk of childhood obesity: a systematic review. International Journal of Obesity. 2013;37(4):477–485. doi: 10.1038/ijo.2013.8. [DOI] [PubMed] [Google Scholar]
  • 60.Pearce J, Taylor M, Langley-Evans S. Timing of the introduction of complementary feeding and risk of childhood obesity: a systematic review. International Journal of Obesity. 2013;37(10):1295–1306. doi: 10.1038/ijo.2013.99. [DOI] [PubMed] [Google Scholar]
  • 61.Grote V, Theurich M. Complementary feeding and obesity risk. Current Opinion in Clinical Nutrition & Metabolic Care. 2014;17(3):273–277. doi: 10.1097/MCO.0000000000000054. [DOI] [PubMed] [Google Scholar]
  • 62.Bailey LC, Forrest CB, Zhang P, Richards TM, Livshits A, DeRusso PA. Association of antibiotics in infancy with early childhood obesity. JAMA pediatrics. 2014;168(11):1063–1069. doi: 10.1001/jamapediatrics.2014.1539. [DOI] [PubMed] [Google Scholar]
  • 63.Anzman-Frasca S, Stifter CA, Birch LL. Temperament and childhood obesity risk: a review of the literature. Journal of Developmental & Behavioral Pediatrics. 2012;33(9):732–745. doi: 10.1097/DBP.0b013e31826a119f. [DOI] [PubMed] [Google Scholar]
  • 64.Bergmeier H, Skouteris H, Horwood S, Hooley M, Richardson B. Associations between child temperament, maternal feeding practices and child body mass index during the preschool years: a systematic review of the literature. Obesity Reviews. 2014;15(1):9–18. doi: 10.1111/obr.12066. [DOI] [PubMed] [Google Scholar]
  • 65.Bonuck KA, Huang V, Fletcher J. Inappropriate bottle use: an early risk for overweight? Literature review and pilot data for a bottle weaning trial. Maternal & child nutrition. 2010;6(1):38–52. doi: 10.1111/j.1740-8709.2009.00186.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Bonuck K, Avraham SB, Lo Y, Kahn R, Hyden C. Bottle-weaning intervention and toddler overweight. The Journal of pediatrics. 2014;164(2):306–312. e302. doi: 10.1016/j.jpeds.2013.09.029. [DOI] [PubMed] [Google Scholar]
  • 67.Wahi G, Parkin PC, Beyene J, Uleryk EM, Birken CS. Effectiveness of interventions aimed at reducing screen time in children: a systematic review and meta-analysis of randomized controlled trials. Archives of pediatrics & adolescent medicine. 2011;165(11):979–986. doi: 10.1001/archpediatrics.2011.122. [DOI] [PubMed] [Google Scholar]
  • 68.Hughes AR, Sherriff A, Ness AR, Reilly JJ. Timing of adiposity rebound and adiposity in adolescence. Pediatrics. 2014;134(5):e1354–e1361. doi: 10.1542/peds.2014-1908. [DOI] [PubMed] [Google Scholar]
  • 69.Moreno JP, Johnston CA, Chen TA, et al. Seasonal variability in weight change during elementary school. Obesity. 2014 doi: 10.1002/oby.20977. [DOI] [PubMed] [Google Scholar]
  • 70.Baranowski T, O'Connor T, Johnston C, et al. School year versus summer differences in child weight gain: a narrative review. Childhood Obesity. 2014;10(1):18–24. doi: 10.1089/chi.2013.0116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Lamboglia CMGF, Silva VTBLd, Vasconcelos Filho JEd, et al. Exergaming as a strategic tool in the fight against childhood obesity: a systematic review. Journal of obesity. 2013;2013 doi: 10.1155/2013/438364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Chen J-L, Wilkosz ME. Efficacy of technology-based interventions for obesity prevention in adolescents: a systematic review. Adolescent health, medicine and therapeutics. 2014;5:159. doi: 10.2147/AHMT.S39969. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Badaly D. Peer similarity and influence for weight-related outcomes in adolescence: A meta-analytic review. Clinical psychology review. 2013;33(8):1218–1236. doi: 10.1016/j.cpr.2013.09.003. [DOI] [PubMed] [Google Scholar]
  • 74.Salvy S-J, De La Haye K, Bowker JC, Hermans RC. Influence of peers and friends on children's and adolescents' eating and activity behaviors. Physiology & behavior. 2012;106(3):369–378. doi: 10.1016/j.physbeh.2012.03.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Inge TH, King WC, Jenkins TM, et al. The Effect of Obesity in Adolescence on Adult Health Status. Pediatrics. 2013;132(6):1098–1104. doi: 10.1542/peds.2013-2185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Brotman LM, Dawson-McClure S, Huang K-Y, et al. Early childhood family intervention and long-term obesity prevention among high-risk minority youth. Pediatrics. 2012;129(3):e621–e628. doi: 10.1542/peds.2011-1568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Barlow SE, Expert C. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics. 2007;120(Suppl 4):S164–192. doi: 10.1542/peds.2007-2329C. [DOI] [PubMed] [Google Scholar]
  • 78.Whitlock EP, Williams SB, Gold R, Smith PR, Shipman SA. Screening and interventions for childhood overweight: a summary of evidence for the US Preventive Services Task Force. Pediatrics. 2005;116(1):e125–e144. doi: 10.1542/peds.2005-0242. [DOI] [PubMed] [Google Scholar]
  • 79.Whitlock EP, O'Connor EA, Williams SB, Beil TL, Lutz KW. Effectiveness of weight management interventions in children: a targeted systematic review for the USPSTF. Pediatrics. 2010;125(2):e396–418. doi: 10.1542/peds.2009-1955. [DOI] [PubMed] [Google Scholar]
  • 80.Resnicow K, Davis R, Rollnick S. Motivational interviewing for pediatric obesity: Conceptual issues and evidence review. Journal of the American Dietetic Association. 2006;106(12):2024–2033. doi: 10.1016/j.jada.2006.09.015. [DOI] [PubMed] [Google Scholar]
  • 81.Schwartz RP, Hamre R, Dietz WH, et al. Office-based motivational interviewing to prevent childhood obesity: a feasibility study. Archives of pediatrics & adolescent medicine. 2007;161(5):495–501. doi: 10.1001/archpedi.161.5.495. [DOI] [PubMed] [Google Scholar]
  • 82.Schwartz RP. Motivational interviewing (patient-centered counseling) to address childhood obesity. Pediatric annals. 2010;39(3):154–158. doi: 10.3928/00904481-20100223-06. [DOI] [PubMed] [Google Scholar]
  • 83.Whitlock EP, O'Conner EA, Williams SB, Beil TL, Lutz KW. Effectiveness of Primary Care Interventions for Weight Management in Children and Adolescents. 2010. [PubMed] [Google Scholar]
  • 84.Birch LL, Fisher JO, Davison KK. Learning to overeat: maternal use of restrictive feeding practices promotes girls' eating in the absence of hunger. The American Journal of Clinical Nutrition. 2003;78(2):215–220. doi: 10.1093/ajcn/78.2.215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Krebs NF, Jacobson MS. Prevention of pediatric overweight and obesity. Pediatrics. 2003;112(2):424–430. doi: 10.1542/peds.112.2.424. [DOI] [PubMed] [Google Scholar]
  • 86.Owen CG, Martin RM, Whincup PH, Smith GD, Cook DG. Effect of infant feeding on the risk of obesity across the life course: a quantitative review of published evidence. Pediatrics. 2005;115(5):1367–1377. doi: 10.1542/peds.2004-1176. [DOI] [PubMed] [Google Scholar]
  • 87.Robinson TN, Kiernan M, Matheson DM, Haydel KF. Is Parental Control over Children's Eating Associated with Childhood Obesity? Results from a Population-Based Sample of Third Graders. Obesity research. 2001;9(5):306–312. doi: 10.1038/oby.2000.38. [DOI] [PubMed] [Google Scholar]
  • 88.Satter E. The feeding relationship: problems and interventions. The Journal of pediatrics. 1990;117(2):S181–S189. doi: 10.1016/s0022-3476(05)80017-4. [DOI] [PubMed] [Google Scholar]
  • 89.Strong WB, Malina RM, Blimkie CJ, et al. Evidence based physical activity for school-age youth. The Journal of pediatrics. 2005;146(6):732–737. doi: 10.1016/j.jpeds.2005.01.055. [DOI] [PubMed] [Google Scholar]
  • 90.Tan CC, Holub SC. Maternal feeding practices associated with food neophobia. Appetite. 2012;59(2):483–487. doi: 10.1016/j.appet.2012.06.012. [DOI] [PubMed] [Google Scholar]
  • 91.Ekstein S, Laniado D, Glick B. Does picky eating affect weight-for-length measurements in young children? Clinical pediatrics. 2010;49(3):217–220. doi: 10.1177/0009922809337331. [DOI] [PubMed] [Google Scholar]
  • 92.Hagan JF, Shaw JS, Duncan PM. Bright futures: Guidelines for health supervision of infants, children, and adolescents. American Academy of Pediatrics Elk Grove Village; IL: 2008. [Google Scholar]
  • 93.Eneli IU, Crum PA, Tylka TL. The trust model: a different feeding paradigm for managing childhood obesity. Obesity. 2008;16(10):2197–2204. doi: 10.1038/oby.2008.378. [DOI] [PubMed] [Google Scholar]
  • 94.Krebs NF, Himes JH, Jacobson D, Nicklas TA, Guilday P, Styne D. Assessment of child and adolescent overweight and obesity. Pediatrics. 2007;120(Supplement 4):S193–S228. doi: 10.1542/peds.2007-2329D. [DOI] [PubMed] [Google Scholar]
  • 95.Agras WS, Hammer LD, McNicholas F, Kraemer HC. Risk factors for childhood overweight: a prospective study from birth to 9.5 years. J Pediatr. 2004;145(1):20–25. doi: 10.1016/j.jpeds.2004.03.023. [DOI] [PubMed] [Google Scholar]
  • 96.Bodenheimer T, Wagner EH, Grumbach K. Improving primary care for patients with chronic illness: the chronic care model, Part 2. Jama. 2002;288(15):1909–1914. doi: 10.1001/jama.288.15.1909. [DOI] [PubMed] [Google Scholar]
  • 97.Institute of Medicine. Committee of accelerating progress in obesity prevention and Glickman D . Accelerating progress in obesity prevention: solving the weight of the nation. National Academies Press Washington; DC: 2012. [PubMed] [Google Scholar]
  • 98.Brennan LK, Brownson RC, Orleans CT. Childhood obesity policy research and practice: evidence for policy and environmental strategies. American journal of preventive medicine. 2014;46(1):e1–e16. doi: 10.1016/j.amepre.2013.08.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Bandura A. Social foundations of thought and action. Englewood Cliffs, NJ. 1986;1986 [Google Scholar]
  • 100.Deci EL, Ryan RM. Self-determination theory: A macrotheory of human motivation, development, and health. Canadian Psychology/Psychologie canadienne. 2008;49(3):182. [Google Scholar]
  • 101.Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. American journal of health promotion. 1997;12(1):38–48. doi: 10.4278/0890-1171-12.1.38. [DOI] [PubMed] [Google Scholar]
  • 102.Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. American journal of public health. 1999;89(9):1322–1327. doi: 10.2105/ajph.89.9.1322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Leeman J, Sommers J, Leung MM, Ammerman A. Disseminating evidence from research and practice: a model for selecting evidence to guide obesity prevention. Journal of Public Health Management and Practice. 2011;17(2):133–140. doi: 10.1097/PHH.0b013e3181e39eaa. [DOI] [PubMed] [Google Scholar]
  • 104.Katz DL, O'Connell M, Yeh M-C, et al. Public health strategies for preventing and controlling overweight and obesity in school and worksite settings. MMWR Recomm Rep. 2005;54(2) [PubMed] [Google Scholar]
  • 105.World Health Organization . Population-based approaches to childhood obesity prevention. 2012. [Google Scholar]
  • 106.Luepker RV, Perry CL, McKinlay SM, et al. Outcomes of a field trial to improve children's dietary patterns and physical activity: the Child and Adolescent Trial for Cardiovascular Health (CATCH) Jama. 1996;275(10):768–776. doi: 10.1001/jama.1996.03530340032026. [DOI] [PubMed] [Google Scholar]
  • 107.Lazorick S, Crawford Y, Gilbird A, et al. Long-term obesity prevention and the Motivating Adolescents with Technology to CHOOSE Health™ program. Childhood Obesity. 2014;10(1):25–33. doi: 10.1089/chi.2013.0049. [DOI] [PubMed] [Google Scholar]
  • 108.Moore JB, Schneider L, Lazorick S, et al. Rationale and Development of the Move More North Carolina: Recommended Standards for After School Physical Activity. Journal of Public Health Management and Practice. 2010;16(4):359–366. doi: 10.1097/PHH.0b013e3181ca2634. [DOI] [PubMed] [Google Scholar]
  • 109.McGuire S. US Department of Agriculture and US Department of Health and Human Services, Dietary Guidelines for Americans . US Government Printing Office; Washington, DC: Jan, 2010. 2011. Advances in Nutrition: An International Review Journal. 2011;2(3):293–294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.S.3307, 111th Congress of the United States (2009–10) Healthy, Hunger-Free Kids Act of 2010.
  • 111.Schor EL. American Academy of Pediatrics Task Force on the F. Family pediatrics: report of the Task Force on the Family. Pediatrics. 2003;111(6 Pt 2):1541–1571. [PubMed] [Google Scholar]
  • 112.Barsh GS, Farooqi IS, O'Rahilly S. Genetics of body-weight regulation. Nature. 2000;404(6778):644–651. doi: 10.1038/35007519. [DOI] [PubMed] [Google Scholar]
  • 113.Skelton JA, Buehler C, Irby MB, Grzywacz JG. Where are family theories in family-based obesity treatment?: conceptualizing the study of families in pediatric weight management. Int J Obes (Lond) 2012 doi: 10.1038/ijo.2012.56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Dev DA, McBride BA, Fiese BH, Jones BL, Cho H. Behalf Of The Strong Kids Research T. Risk factors for overweight/obesity in preschool children: an ecological approach. Child Obes. 2013;9(5):399–408. doi: 10.1089/chi.2012.0150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Baumrind D. Current patterns of parental authority. Developmental Psychology Monograph. 1971;4:101–103. [Google Scholar]
  • 116.Baumrind D. Rearing competent children. In: Damon W, editor. Child Development Today and Tomorrow. Jossey-Bass; San Francisco, CA: 1989. pp. 349–378. [Google Scholar]
  • 117.Maccoby E, Martin J. Socialization in the context of the family: parent-child interaction. In: Hetherington E, editor. Handbook of Child Psychology: Socialization, Personality and Social Development. Wiley; New York, NY: 1983. pp. 1–101. [Google Scholar]
  • 118.Rhee K. Childhood overweight and the relationship between parent behaviors, parenting style, and family functioning. The Annals of the American Academy of Political and Social Science. 2008;615:11–37. [Google Scholar]
  • 119.Rhee KE, Lumeng JC, Appugliese DP, Kaciroti N, Bradley RH. Parenting styles and overweight status in first grade. Pediatrics. 2006;117(6):2047–2054. doi: 10.1542/peds.2005-2259. [DOI] [PubMed] [Google Scholar]
  • 120.Brotman LM, Dawson-McClure S, Huang KY, et al. Early childhood family intervention and long-term obesity prevention among high-risk minority youth. Pediatrics. 2012;129(3):e621–628. doi: 10.1542/peds.2011-1568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Hammons AJ, Fiese BH. Is frequency of shared family meals related to the nutritional health of children and adolescents? Pediatrics. 2011;127(6):e1565–1574. doi: 10.1542/peds.2010-1440. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Skeer MR, Ballard EL. Are family meals as good for youth as we think they are? A review of the literature on family meals as they pertain to adolescent risk prevention. Journal of youth and adolescence. 2013;42(7):943–963. doi: 10.1007/s10964-013-9963-z. [DOI] [PubMed] [Google Scholar]
  • 123.Rhee K. Childhood overweight and the relationship between parent behaviors, parenting style, and family functioning. The ANNALS of the American Academy of Political and Social Science. 2008;615(1):11–37. [Google Scholar]
  • 124.Rhee KE, Lumeng JC, Appugliese DP, Kaciroti N, Bradley RH. Parenting styles and overweight status in first grade. Pediatrics. 2006;117(6):2047–2054. doi: 10.1542/peds.2005-2259. [DOI] [PubMed] [Google Scholar]

RESOURCES