Associations between parenting strategies and BMI percentile among Latino children and youth with intellectual and developmental disabilities

Abstract

Introduction:

Maintaining healthy weight is a challenge for all children, and particularly for children with IDD compared to nondisabled children and for Latino children compared to non-Latino White children. Parenting practices related to food intake and physical activity have been found to be important in maintaining children's weight. In this study, we describe the prevalence of overweight and obesity status among Latino children with IDD and their maternal caregivers and determine the relationship between food and physical activity parenting practices and childhood obesity among Latino children with IDD.

Methods:

We interviewed 94 Latino parent/child dyads and collected information about parenting practices, home environment, and parent and child height and weight using standardized measures. Parent body mass index (BMI) and child BMI percentile were calculated from height and weight.

Results:

The combined overweight/obesity status for children in our sample was high (60.3%) compared to national rates among nondisabled Latino children (56%) and non-Latino White children with autism (37%). Contrary to research on nondisabled children, we found that greater parental use of controlling dietary strategies was associated with lower BMI percentile in Latino children with IDD. These findings may be indicative of the fact that children with IDD tend to have unique dietary behaviors that warrant more disability and culturally sensitive strategies.

Discussion:

Our findings suggest that overweight and obesity is especially prevalent for Latino children with IDD and that more research is needed on family factors that promote health in Latino families of children with IDD.

Introduction

One of the most common non-communicable health problems is overweight and obesity. The World Health Organization (WHO) defines overweight and obesity as conditions with excessive accumulation of body fat that presents a risk to health (1). Recent projections from the World Obesity Federation suggest that by 2060, approximately 91% of children and adults in the United States will be overweight or obese (2). The economic costs of overweight and obesity in the United States are projected to increase to $2.622 trillion by 2060 (2). Systematic reviews find that children and youth who are overweight or obese are more likely to develop and experience cardiovascular illness and diabetes, asthma, musculoskeletal discomforts, psychological distress, anxiety, and depressive symptoms (3–5), and that these effects can be long-lasting and persist into adulthood (6, 7). Furthermore, longitudinal studies find that children and youth who are overweight or obese face significant levels of stigma, achieve lower levels of education, and report lower quality of life than children and youth who are not overweight or obese (8).

Within the United States, Latino¹ children and youth (aged 2–19 years) are more likely to be overweight or obese than White children, with obesity rates reported as high as 26.2% among Latino children compared to 16.6% among White children (9–12). Moreover, children and youth with intellectual and developmental disabilities (IDD) have also been identified as more likely to be overweight or obese than children without IDD, ranging from 33.5% to 47.0% of children with IDD (13). These data are striking as Latino children and children with IDD experience significant obstacles in accessing a primary care provider, specialty health care services, and family-centered care (14, 15). Further disparities arise when we consider the intersectional identities of Latino children with IDD, as they may face substantial barriers to accessing health and education services and supports (14, 16).

Body fat composition is influenced by environmental factors affecting caloric surplus and deficit that result from food intake and caloric expenditure through physical activity (17). Family environment, particularly parenting practices related to food and physical activity, plays an important role in children's dietary and physical activity behaviors (18). Food parenting practices (FPP) are intentional or unintentional, food-specific actions or behaviors used by parents for child-rearing purposes that affect their child's eating-related attitudes, beliefs, or behaviors (19). Among non-disabled children, FPP are strongly associated with diet and weight. Parents who utilize factors that emphasize structure, warmth, and responsiveness (e.g., parent encouragement and modeling healthy behavior) and use family rules, limit-setting, and monitoring are more likely to have children who eat healthier foods (19–23). Conversely, parents who use more controlling FPP, such as feeding restrictions, overfeeding, using foods as rewards, and pressure to eat, have been linked to poorer diet and obesity development (24–27). Samples used in these studies were of predominantly White families and children. A study on food intake, FPP, and acculturation among Latino children and families found that immigrant mothers used more controlling and less indulgent feeding practices compared to Latina mothers born in the United States (28) and greater maternal acculturation to the United States was associated with higher unhealthy food consumption and higher rates of obesity among Latino children in a different study (29).

Parents may be particularly underprepared in FPP with their children and youth with IDD. Parents of children with IDD often face unexpected feeding issues as opposed to parents of nondisabled children (30, 31). Feeding issues are especially marked for children with autism spectrum disorder (ASD), who tend to have more restricted diets due to food selectivity, texture sensitivities, and specific mealtime expectations (32, 33). In addition, children with ASD may also be affected by medication side effects, sensory issues, specialized or focused behaviors, and gastrointestinal symptoms (34, 35). Therefore, parents of children with ASD are likely to be more involved in monitoring their child's diet and are more vigilant about their child's dietary behaviors to ensure that their child is getting sufficient nutrients (36, 37). Children with other types of IDD, such as intellectual disability or Down syndrome (DS), have different challenges with respect to feeding. For some children with DS, eating can be a challenge due to chewing and swallowing difficulties (38). One study found a notable tendency to overfill mouths and cheeks with food without swallowing in a sample children with DS (39). While children and youth with DS have a greater tolerance for various food textures than children with ASD, this same study found a preference for crispy and oily foods and a dislike for brittle and gooey foods leading to greater consumption of salty and cheesy products (39). Children with DS also demonstrate similar patterns of dietary behaviors to the general pediatric population with excessive consumption of protein and saturated fat, and preferred bread, pasta, fruit juices, meat, and cold cuts (38). In combination, these factors can lead to a less nutritious diet in this group. The challenges children with DS and IDD experience with eating may influence the types of strategies or practices parents use to impact their child's eating behaviors.

Research has demonstrated racial/ethnic differences in the influence of FPP on children's eating and weight. For instance, pressure to eat and restrictive feeding practices are more commonly observed among Latino, non-Latino Black, and Asian parents compared to non-Latino White parents (40–43). However, the results of studies conducted among Latino children have been mixed. Hughes et al. (44) found that Latino parents tend to be more indulgent of their children's diet (i.e., characterized by warmth and acceptance in combination with a lack of monitoring of the child's behavior) and that such behavior was associated with higher child BMI. In contrast, a recent study using data from the Hispanic Community Children's Health Study/Study of Latino Youth (SOL Youth) found that children (ages 8–16 years) of parents who used controlling FPPs vs. indulgent FPPs were 1.75 times more likely to consume a diet that is high in calories (45). Although FPP are widely examined among typically developing children and youth, research on children and youth with IDD has been scant. There is even less research that has examined FPP and the intersection of race and disability.

Parenting practices can also influence children's engagement in physical activity. Research shows that when mothers exercise certain levels of control and enforce behavioral expectations, children are likely to spend more time engaging in physical activity and spend less time being sedentary (46, 47). For Latino children, it appears that parent involvement has a positive effect on the children's physical activity. One integrative review found that Latino children's engagement in physical activity was facilitated when parents monitored their child's behaviors, encouraged, or prompted their child to be more physically active, modeled active behaviors, offered logistic support for physical activity participation, and presented rewards and reinforcement for being physically active (48). However, Latino families of children with disabilities often mention barriers to engaging in physical activity (49, 50). These barriers include inclement weather, high cost, lack of time, neighborhood safety, and lack of space to exercise at home (50). Moreover, Latino families may be more likely to live in neighborhoods with limited access to affordable recreational facilities and healthy food options, which makes it difficult to maintain physical activity and a healthy diet routine (51–53).

Research on physical activity and parenting practices is very limited for children and youth with IDD. A systematic review of 30 studies demonstrated that children with IDD are less likely to engage in physical activity than children without disabilities (54). In an effort to promote physical activity, parents of children and youth with IDD may utilize a variety of parenting practices. A systematic review on children with disabilities, broadly speaking, identified three dimensions of parenting that were significantly and positively associated with physical activity behaviors in children with disabilities: participating in physical activity interventions, parental support (e.g., providing transportation, offering encouragement) and parents' perceived importance of their child engaging in physical activity (55). In addition to parent support, parents' perceived competence of their child's physical ability has also emerged as a key factor in promoting physical activity behaviors of children with disabilities (56). Some studies have identified barriers to engagement in organized physical activity for children and youth with disabilities. According to one study, these barriers include low socio-economic status, parents' and siblings' non-participation in physical activity, and being enrolled in special education vs. a mainstream school (57). Thus, families and children at the intersection of race and disability might face compounded barriers to physical activity engagement.

The physical home environment is an important determinant of child diet, physical activity, and obesity. Previous research indicates that children who live in households characterized by greater availability of unhealthy foods, fewer fruits, and vegetables, fewer sports/recreational equipment items, and more media equipment are at high risk for obesity. While high rates of childhood overweight/obesity in the Latino community are often attributed to cultural influences, attitudes, and beliefs (58), most Latino parents do recognize the importance of children eating healthy foods, fewer sweets, and being physically active (48). Yet, due to structural and economic barriers, they may struggle to provide healthy foods and find time and space to engage in physical activity with their children.

To date, there is limited research on Latino children with IDD related to weight and its associated factors. The influence of family context is understudied but is substantially important given this population's higher dependence on parents, siblings, and caregivers to accommodate their food intake and physical activity (59, 60). As the prevalence of obesity among Latino children with IDD continues to rise (61), examining the associations between food and physical activity parenting practices, the home food and physical activity environment, and obesity are warranted.

The aims of the current study are to (1) describe the prevalence of overweight and obesity status among Latino children with IDD and their maternal caregivers; and (2) determine the relationship between food and physical activity parenting practices, home food and physical activity environment, and childhood obesity among Latino children with IDD.

Methods

Study design and recruitment

The present study is based on data collected for a larger, cross-sectional study that investigated the health behaviors (e.g., diet, physical activity) and lifestyle factors (e.g., socioeconomic status, home environment) contributing to overweight and obesity among Latino children with intellectual and developmental disabilities (IDD) and their maternal caregivers. Mothers were selected for the study as they are typically the primary caregiver of children with IDD in Latino families (62). Research staff recruited caregiver-child dyads from two urban cities in the United States, both of which were characterized by large Latino populations (63). Institutional review boards of universities at both study sites approved the study. We formed a Community Advisory Board (CAB) at each site, consisting of researchers, representatives of local Latino-serving non-profit organizations, parents of a child with IDD, and disability self-advocates. The CABs provided ongoing input to the research team related to study design, recruitment, evaluation, and dissemination. Community agencies that serve the target population assisted with recruitment by sharing recruitment materials (i.e., a Spanish and English bilingual informational flyer) with Latino families through their websites, newsletters, email listservs, and social media (e.g., Facebook). To increase recruitment, research staff also delivered community outreach presentations at events such as local community fairs and parent support groups.

Participants

Families expressed interest in the study by filling out an online study interest form. After receiving the interest forms, research staff conducted eligibility screenings with families by phone. Eligibility criteria included: (1) the caregiver identified as a Latina mother (or other Latina female primary caregiver with custody of the child); (2) the caregiver had a child between 6 and 17 years of age; (3) the focal child had a diagnosis of autism spectrum disorder (ASD), Down syndrome (DS), and/or intellectual disability (ID); and (4) the focal child was able to walk since we also collected accelerometer data (accelerometers have not been well tested with children who are unable to walk without a device). Families with more than one child with IDD were encouraged to include all eligible children in the study.

For eligible families, trained bilingual research staff obtained verbal consent from the caregiver, parental consent for child participation, and child assent from each child. Between July 2020 and December 2022, we completed interviews with 94 Latino caregiver-child dyads via three, 60- to 75-minute phone or video calls over the course of 4–6 weeks. Seven families had more than one eligible child bringing the total number of enrolled children with IDD to 101. During the interviews, research staff administered survey questions in English or Spanish depending on preference, including demographics and caregiver-child health, health behaviors, quality of life, socioeconomic conditions, home environment, as well as height and weight data to calculate body mass index (BMI). Families could choose to complete assessments either in Spanish or English. Each family received a $25 gift card voucher as compensation for each interview completed, earning up to $75 for all three interviews.

Table 1 presents caregiver and child demographics of our study sample. Sixty-four families chose to complete the interviews in Spanish and the remaining 30 in English. On average, Latina caregivers were 42.9 (SD = 6.2) years old with a range from 30 to 58. Most of them were from lower socioeconomic backgrounds—about 60% had an annual household income of $35,000 or below; about half said they owned a house/apartment (45%), were uninsured (43%), and had high school or less education (48%); only 27% said they were employed/self-employed while others identified either as full-time caregivers (36%) or were unemployed/unable to work (37%). Most caregivers were married/partnered (82%) and born outside of the US (81%). For children with IDD, they were on average 10.8 (SD = 3.3) years old. Most of them were boys (71%), born in the US (95%), had insurance of any kind (96%), and had a primary diagnosis of autism (78%).

Measures

Demographics

Questions for caregivers included age, country of origin, education, employment, marital status, annual household income, insurance status, and home ownership. We also collected child demographics based on caregiver-reported data, including child age, gender, place of birth, insurance status, and IDD primary diagnosis.

Brief autism mealtime behaviors inventory (BAMBI)

To capture mealtime behaviors specific to children with IDD, we used the BAMBI, a 14-item questionnaire that asks parents to indicate how often their child exhibited negative (e.g., crying, screaming, and being disruptive during mealtimes) and positive (e.g., open to trying new foods and remained seated at the table while eating) behaviors (64). Responses are scored on a 5-point Likert-type scale ranging from 1 “never occurs” to 5 “always occurs”. Positive behavior items are reverse-coded. A total frequency score was calculated by summing all 15 items, with higher scores reflecting more mealtime behavioral problems. As discussed earlier, children with ASD may have different mealtime behaviors when compared to those with DS or ID. We thus used the BAMBI scores as a covariate which we will discuss further in the analysis. The Cronbach's alpha is 0.79 for BAMBI for the current sample.

Home environment

We examined home food (HFE) and physical activity (HPAE) environment using items adapted from the Home Health Environment survey developed by Boles et al. (65). For home food environment, caregivers reported how often healthy (e.g., raw fruits, vegetables, and low-fat crackers) and unhealthy foods (e.g., chocolate candy, cookies, and regular sodas) were available to their children at home on a 5-point Likert-type scale from 1 “never” to 5 “always”. For home physical activity environment, caregivers reported how often their children used certain physical activity equipment (e.g., bikes, jump rope, and active video games) available to them at home on a 5-point Likert-type scale from 1 “not available/don’t use at all” to 5 “once a week or more”. Items for healthy foods, unhealthy foods, and physical activity equipment were summed to calculate index scores. The Cronbach's alphas are 0.32 for the healthy food index, 0.75 for the unhealthy food index, and 0.65 for the physical activity equipment index for the current sample. Due to its low internal consistency, the healthy food index was excluded from the analysis.

Parenting strategies for eating and activity scale (PEAS)

To assess strategies that caregivers use to impact child diet and physical activity at home, we used the 26-item PEAS, developed to be culturally appropriate for Latino families (66). Based on 5-point Likert-type responses ranging from 0 “never” to 4 “very often”, the PEAS measures five parenting strategies including three for diet (limit setting, monitoring, and control) and two for physical activity (monitoring and reinforcement). Items for each parenting strategy for diet (PEAS-diet) and physical activity (PEAS-PA) were summed to calculate index scores. The Cronbach's alphas are 0.81 for the PEAS-diet and 0.80 for the PEAS-PA for the current sample.

Body mass index (BMI)

Due to the COVID-19 restrictions, we relied on caregiver-report data. Caregiver and child heights (in inches) and weights (in pounds) were obtained. Specifically, mothers were first asked to report their own weight and height. They were then asked if they had a scale and tape measure available at home. If the response was “yes,” they were asked to conduct the child measurements in real-time. Otherwise, mothers were asked to recall their child's weight and height data from their last pediatric visit. Caregiver BMI was calculated by dividing weight in pounds by height in inches squared and multiplying by a conversion factor of 703. A BMI of 25.0–29.9 in adults is considered overweight, and a BMI of 30.0 or higher is considered obese (67). For children, we used BMI age- and sex-adjusted growth charts, which are known to provide a reliable indicator of excess adiposity in children (68). Child BMI at the 85th percentile is considered overweight and 95th percentile is considered obese.

Data analysis

Data analyses were conducted using the Statistical Package for the Social Sciences (SPSS), version 27 (IBM Corp, Armonk, NY). Means, standard deviations, and frequencies for demographic characteristics of the caregiver-child dyads were calculated (see Table 1). Standardized measures were computed based on their respective scoring schemes. Distributional analysis was done to ensure that the data were normally distributed and free from errors. There were missing data throughout the raw dataset because of participant non-response (e.g., caregivers were concerned about providing certain personal information). Missing data ranged from 0 (child age) to 17% (marital status). Overall, missing data accounted for 7% of the overall dataset and diagnostics showed no patterns for the missing data. To address the missingness so that the full sample could be included in analyses, multiple imputation was conducted with the MI command in SPSS. Specifically, we used the default setting which ran five iterations using the automatic method assuming missing-at-random (MAR). Model constraints were set based on original data (e.g., child BMI percentile was limited to 0–100). SPSS generated pooled results through the iterative simulations in which missing values were replaced by plausible estimates (69). The pooled results thus represent the least-biased estimates for the study parameters and were used in the analysis.

Using caregiver BMI and child BMI percentile derived from caregiver-report weight and height data, we calculated the numbers and percentages of caregivers and children in our sample that were overweight or obese to compare with national prevalence rates of obesity among Latino children and adult women (Aim 1). To examine the relationships between home food and physical activity environment, parenting practices, and child BMI percentile (Aim 2), we conducted a series of hierarchical linear regression models with child mealtime behaviors (BAMBI) as a covariate throughout. Home environment (i.e., unhealthy food and physical activity equipment indices) and parenting strategies were entered as the first block in the hierarchical regression model to examine the crude relationships between these variables and child BMI percentile while accounting for child mealtime behaviors. Caregiver-child factors were entered as the second block to examine the effects of home environment and parenting strategies net of socioeconomic and demographic variables. Four child variables were excluded in the second block—child age and gender were excluded because they were already adjusted when calculating child BMI percentile (see CDC, https://www.cdc.gov/healthyweight/bmi/calculator.html); child place of birth and insurance status were excluded due to a lack of variability. Subsequently, caregiver-child factors entered in the second block included caregiver age, BMI, country of origin, education, employment, marital status, annual household income, insurance status, home ownership, and child primary diagnosis. The model fit was examined using the proportions of the variance explained in the dependent variable (i.e., R² and R² change).

Results

Caregiver-report BMI, child BMI percentile, and weight statuses

On average, caregiver self-report BMI was 30.2 (SD = 6.7) with a range from 12.4 (severely underweight) to 52.9 (severely obese) in our study sample. More than half (53%) of the caregivers met criteria for adult obesity (BMI ≥30.0) and 26% were overweight but not obese for a combined 79% with overweight/obesity status. Caregiver-report child BMI percentile was on average 75.2 (SD = 31.7) and ranged from 0.1 (severely underweight) to 99.8 (severely obese). About 37% of the children with IDD met criteria for obesity (BMI percentile ≥95.0), and 24% were assessed to be overweight but not obese. Combined overweight and obesity status among the children was 60.3%. Caregiver-report BMI and child BMI percentile were significantly correlated (Pearson's r = 0.22, p = 0.04). Among the 50 caregivers who were reported to be obese, 21 reported their children were also obese.

Home environment and parenting strategies for eating and physical activity

Table 2 shows the characteristics of, and correlations between the home environment and parenting strategies subscales. On average, limit setting for diet (M = 13.4, SD = 5.6) and reinforcement for physical activity (M = 12.0, SD = 4.5) had higher scores indicating greater use by Latina caregivers. The correlation matrices show that physical activity monitoring was strongly correlated with all other parenting strategies. Additionally, limit setting and monitoring for diet were strongly correlated with each other. For home environment subscales, unhealthy food index was significantly correlated with physical activity monitoring, while physical activity equipment index was significantly correlated with physical activity reinforcement and unhealthy food index. No significant correlations were found among other parenting strategies subscales.

Hierarchical regression models

Table 3 shows the statistics of the two hierarchical regression models. In model 1, home environment and parenting strategies variables were entered as the first block while only child mealtime behaviors were accounted for. Results show that (1) controlling in parenting strategies for diet significantly predicted lower child BMI percentile (t = −2.49, p = 0.01), (2) monitoring in parenting strategies for physical activity significantly predicted higher child BMI percentile (t = 2.31, p = 0.02). The model fit statistics show that home environment and parenting strategies explained 15% of the variance (R² = 0.15 p = 0.04) in child BMI percentile.

In model 2, caregiver-child factors were further entered to examine the net effects of home environment and parenting strategies. Consistent with model 1, both controlling for diet (t = −2.47, p = 0.02) and monitoring for physical activity (t = 2.34, p = 0.02) remained significant predictors of child BMI percentile. Among all caregiver-child factors entered, only the child's primary diagnosis of ASD significantly predicted lower child BMI percentile (t = −2.15, p = 0.04). In model 2, 28% of the variance (R² = 0.28, p = 0.02) in child BMI percentile were explained which represents a 13% (R² change = 0.13) increase from model 1.

Discussion

In the present study, we examined prevalence of overweight and obesity status in a multisite sample of Latino children with IDD and correlates of the children's Body Mass Index (BMI) percentile with a focus on parenting strategies. Thirty-seven percent of the children in our study met criteria for obesity status, and 24% met criteria for overweight status (not obese). The combined overweight/obesity status for children in our sample was 60.3%. This is comparatively higher than overweight/obesity status among a representative sample of nondisabled Mexican American children who were reported to be 55.5% overweight/obese (70); and compared to a meta-analysis estimate of children with autism, which was reported to be 37% overweight/obese (71). Caregivers in our sample also had similarly high rates of overweight/obesity status (79%) compared to a representative sample of women assessed in 2016 at 68% (72). These findings are a call to action for more research into the determinants and consequences of obesity and overweight status in racial/ethnic minoritized children with IDD and their family caregivers.

To investigate further, we examined correlates and predictors of child BMI percentile with a focus on home food and physical activity environment and parenting strategies for eating and physical activity. Contrary to prior findings, there were no effects of the presence or absence of healthy foods (73, 74) or the presence of sports equipment (75) on child BMI percentile. This discrepant finding could be related to limitations with activities of daily living (ADL) independence among children with IDD. Studies show that children and youth with IDD experience significant difficulties with performing ADL, thereby restrict their participation in everyday activities that their age peers can perform independently (76, 77). Such activities might include serving themselves snacks available at home or initiating physical activities using available home equipment on their own. Covert changes in the home environment, such as purchasing healthy foods and making exercise equipment readily available, are contingent on the child's ability to notice these changes and initiate dietary and physical activity behaviors (78). For children with IDD, this type of covert control might be insufficient in isolation without active guidance and direction from caregivers.

With respect to parenting practices, we found that greater parent use of controlling strategies for child diet was associated with lower child BMI percentile. This finding is in contrast to what has been reported in previous research of non-disabled children, which finds that greater use of controlling behaviors is associated with higher BMI percentile (24–27). Research in the Latino community has similarly found an association between greater controlling strategies by the parents and higher caloric intake of the children (45). However, a study on immigrant parents finds that they use more controlling strategies with their children, which are not always associated with negative outcomes (28). Mothers in our study were primarily immigrant parents which may partially explain our findings with respect to use of controlling strategies (28, 29). Additionally, our findings suggest that parents of children with IDD may need to use different strategies than parents of nondisabled children. Children with IDD tend to have unique dietary behaviors related to oral-motor difficulties and food sensitivities and lesser autonomy in self-regulating dietary intake (32, 33). In such situations, parents might feel compelled to exercise greater control and vigilance of their child's dietary intake, which may lead to better outcomes for children with IDD. Consistent with theory, a recent study with 440 participants with IDD found that restricting access to unhealthy foods and sedentary behaviors was associated with children consuming less fried food and less sweetened drinks (79).

Whether parents used monitoring strategies for diet intake was not related to child BMI percentile. However, we found that greater monitoring for physical activity was related to a higher child BMI percentile. This finding contrasts with previous research on children with IDD who were more likely to be physically active when parents monitored and encouraged their child's physical activity engagement (55). Families of children with disabilities, especially from racial/ethnic minority backgrounds, face significant environmental barriers that restrict their ability to find opportunities for their children that are accessible and accommodating of their child's motor and sensory needs (51–53). Thus, environmental barriers might explain why parents' monitoring behaviors might have the opposite effect on their child's BMI in the absence of real and feasible opportunities for physical activity participation. Further research is needed to isolate the individual and combined effects of parenting strategies and neighborhood environments for Latino children with IDD.

We examined the relationships of demographic variables to BMI percentile in our second regression model to determine if they change or enhance the findings from model 1. We found that the findings regarding parenting practices were retained, and the final model was enhanced by identifying an additional relationship. We found that children with IDDs other than autism had higher BMI percentiles. This finding might be related to greater restrictive dietary habits among children with autism (32, 33) while children with IDD may be more prone to dietary excess as suggested by one study (38).

Limitations and future directions

There are a few important limitations to note. First, it is a cross-sectional study which does not allow us to determine the direction of effects. Future research should consider longitudinal designs. Secondly, this is a convenience sample from Illinois and Texas with predominantly Mexican American Latino populations, which may not represent all Latino families of children with IDD in the US. Another limitation is that this study only included maternal caregivers. Future research may examine the role and influence of fathers, grandparents, and/or siblings in shaping child health behaviors. One study found that Latino fathers are more likely to engage in male and female stereotyped activities (e.g., playing games, cooking, reading) than their White counterparts (80) demonstrating the importance of including fathers in future studies. In the present study, caregiver BMI and child BMI percentile were assessed based on caregiver-report due to the COVID-19 restrictions. Past literature has shown that the use of self-report weight and height data often lead to underestimated BMI (81). We also note that while BMI is widely used in public health, this measure does not capture variation in fat distribution, muscle, and bone density. Furthermore, BMI is not stratified by racial and sex differences in body composition (82). Particularly for children, the BMI does not reflect the onset of puberty, which can be impacted by race, nutrition, genetic and environmental factors (83). Thus, to better assess weight status, future studies should seek to include measures of different body composition metrics such as abdominal adiposity, waist circumference, and percent body fat. Lastly, it is important to acknowledge that all measures used in this study were based on self-report. Subjective measures of health are important in that they convey the experience of wellness among participants. However, future research may seek to corroborate findings by using different subjective measures of health combined with objective data.

Despite the limitations, the present study is significant and innovative in that it considers the family context and gathers information from both caregiver and child. Furthermore, it is among the first to examine the family context in Latino families with children with IDD. These families are particularly subject to cost, safety, and transportation barriers to community resources supporting nutrition and physical activity (51–53). Future research should examine more closely the relationship between parent controlling diet behaviors and healthy weight to determine how this practice should be supported in intervention development for Latino families of children with IDD. Future studies may also examine the mediating role of disability-sensitive attitudes and skills regarding engaging children with disabilities in physical activity on the effects of physical activity (as well as healthy food) environment on child outcomes. This is especially pressing for Latino families because their participation in health promotion programs is often limited by a lack of cultural sensitivity in program recruitment and content (80). Given that prior research has found that children with disabilities are less likely than their non-disabled peers to engage in physical activity (54) and their parents report more difficulties with feeding their children (30, 31), it is likely that this disparity of participation in health promoting programming is particularly pronounced for Latino families of children with disabilities. Our findings may have implications for future culturally tailored interventions for Latino families of children with IDD. There are some interventions that have been culturally tailored for Latino families and children (84, 85). However, future research will need to examine how to incorporate parenting strategies that may be unique to Latino parents of children with IDD into interventions and programs.

Conclusions

The present study examined the association between parenting strategies with body composition in a population that is often understudied—Latino children with IDD. Our findings establish that Latino children with IDD have worryingly high rates of obesity and add to the understanding of the associations between food and physical activity parenting practices, the home food and physical activity environment, and obesity in the Latino community. The present study is a significant and innovative exploratory work that prompts further examination of family factors that promote health in Latino families with children with intellectual and developmental disabilities.

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