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Departments of a Maternal and Child Health
c Biostatistics, Boston University School of Public Health, Boston, Massachusetts
b Department of Pediatrics, Boston University School of Medicine/Boston Medical Center, Boston, Massachusetts
d Haitian Health Institute, Boston Medical Center, Boston, Massachusetts
| ABSTRACT |
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METHODS. We interviewed a convenience sample of black mothers of children aged 2 to 13 years. Food-security status (predictor) was determined at the household level. Five maternal feeding practices (outcomes) were assessed. Two were based on Birch's Child Feeding Questionnaire (restricting access to certain foods and pressuring a child to eat), and 3 were derived from investigators' clinical experience (use of high-energy supplements, added sugar in beverages, and perceived appetite stimulants). Anthropometric data were collected from mothers and children.
RESULTS. A total of 278 mother–child dyads were analyzed, and 28% of these mothers reported being food insecure. Use of Child Feeding Questionnaire feeding practices was defined as the top quartile of responses. Use of nutritional supplements, defined as "at least 1 to 2 times monthly," ranged from 13% to 25%. In logistic regression models adjusted for child age, weight status, and ethnicity and maternal weight status, mothers from food-insecure households were significantly more likely to use high-energy supplements and appetite stimulants. The odds of using the remaining compensatory feeding practices (adding sugars to beverages, pressuring a child to eat, and restricting access to certain foods) were elevated among food-insecure households but did not reach statistical significance.
CONCLUSIONS. Household food insecurity was independently associated with 2 of the 5 maternal compensatory feeding practices studied, and such practices may alter the feeding environment. Longitudinal research is necessary to determine how the relationship between food security and compensatory maternal feeding practices may affect child weight trajectories.
Key Words: food insecurity feeding behavior overweight children African American Haitian
Abbreviations: CFQ—Child Feeding Questionnaire OR—odds ratio CI—confidence interval
More than one third of black children and adolescents in the United States are overweight or at risk for overweight.1 The increased prevalence of overweight in this population has led researchers to investigate risk factors that may contribute to obesity. One such factor is food insecurity,2–4 which, in 2006, affected 11% of all US households and 15.6% of households with children.5,6 Food insecurity is higher in black households, where 26.4% of such households with children are food insecure.6
The relationship between food insecurity and overweight is well established among adult women. Population-based studies have shown an association between obesity and moderate levels of food insecurity among women.2–4 Several hypotheses have been offered, including overcompensation for periods when food is scarce, leading to overall increased intake; cycling food and energy intakes during periods of food scarcity and relative abundance, making the body more efficient in using dietary energy and leading to weight gain over time7; and increased consumption of energy-dense foods, which are less expensive and may be more plentiful in food-insecure households, leading to an overall increase in energy intake.8
In contrast to adult women, the relationship between food insecurity and overweight among children is uncertain. Some studies reported an association between household food insecurity and lower BMI among children,9–11 others found that food insecurity was associated with higher BMI,12–14 and 1 study found no association.15 These seemingly contradictory findings have motivated researchers to explore further the complex dynamics of food insecurity and identify potential pathways whereby food insecurity affects childhood weight status.
The aim of this study was to explore the relationship between food insecurity and maternal feeding practices in an ethnically diverse, urban black population. We focused on this population because they have higher rates of both food insecurity5 and obesity16 than other populations in the United States. From the literature17–19 and our own experience, we identified 5 feeding practices that mothers may have adopted to compensate for the household's experience of periodic food shortages. These feeding practices have the potential to alter the child's feeding environment and may contribute to childhood overweight.20–22 We hypothesized that among black households, food insecurity may result in increased use of such compensatory feeding practices.
| METHODS |
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Measures
Food Insecurity
Food insecurity, the primary predictor in our analyses, is conceptualized into 4 domains: (1) uncertainty or worry about food; (2) inadequate quality of food; (3) inadequate quantity of food; and (4) food acquired through socially unacceptable means.24 We used the 6-item Short Form of the 12 Month Food Security Questionnaire*
to classify households by using recommended cutoff scores: food secure (
1 positive response), low food security (2–4 positive responses), and very low food security (5–6 positive responses).6,25–28 On the basis of standard guidance,29 we combined the last 2 groups to form the food-insecure category. Households that affirmed
1 responses were classified as food secure, and households that affirmed
2 responses were classified as food insecure.
Compensatory Maternal Feeding Practices
In this study, the outcome variables were 5 compensatory maternal feeding practices, 2 defined by the CFQ and 3 derived from clinical experience. The CFQ was designed to explore the relationship between parental control of feeding and the development of children's eating habits, on the basis of responsiveness to hunger satiety cues.19 Birch included questions about parental restriction of foods and pressuring children to eat, hypothesizing that high levels of parental control around food selection and intake may inhibit children's feeding self-regulation and place children at risk for becoming overweight.18,22
Pressuring a Child to Eat
This practice was assessed using 4 items from the CFQ, including, "My child should always eat all of the food on her plate," and, "I have to be especially careful that my child eats enough." Each item was scored on a 5-point Likert scale. We determined an overall score for this practice (sum of item scores/number of items) and examined its distribution in the sample. We constructed a dichotomous variable, with the highest quartile of scores designated as affirmative for the feeding practice.
Restricting Access to Certain Foods
Evidence of food restriction was examined using 8 items from the CFQ, including, "I have to be sure that my child does not eat too many sweets," and, "I have to be sure that my child does not eat too many high-fat foods." The items were scored and a dichotomous variable was constructed in the manner described in the previous section.
Use of Nutritional Supplements
The following 3 feeding practices were identified through the clinical experience of the investigators. For each practice, we constructed a dichotomous variable, with the affirmative defined as engaging in the use of any of the products "at least 1 to 2 times monthly":
Child and Maternal Weight Status
BMI (kg/m2) was calculated for mothers and children on the basis of heights and weights obtained at the time of the interview. Measurements were obtained by trained medical assistants (hospital-based individuals) or research assistants (church-based individuals). For children, we calculated BMI percentiles by age and gender according to the Centers for Disease Control and Prevention guidelines30 and categorized them as overweight (BMI
85th percentile), normal weight (BMI < 85th percentile and >5th percentile), or underweight (BMI
5th percentile). Mothers with a BMI of
25 were classified as overweight and with a BMI of <25 as normal weight.
Statistical Methods
Logistic regression models were used to explore associations between compensatory maternal feeding practices (outcomes) and food insecurity (predictor). Covariates were identified from significant associations with study outcomes in bivariate analyses and included child age and ethnicity and maternal age. Maternal age was highly correlated with child age and, therefore, dropped from multivariate analyses. Child and maternal weight status did not have significant associations with either compensatory feeding practices or food security; however, we elected to include these covariates in our logistic regression models because of numerous studies suggesting that such associations exist.2–4,13,14,20–22
Because a large number of interviews (n = 216) did not include complete information required to calculate BMI, we developed a strategy to deal with missing data.
Among women who were missing height only (n = 159), we classified them as overweight (n = 103) when they weighed
164 lb, which corresponds to a BMI of 25 for the 95th percentile for height (ie, 68 in).31 For women who weighed <164 lb (n = 56) or were missing both height and weight (n = 57), we imputed their weight status using a dichotomous definition, normal versus overweight, on the basis of BMI cutoffs described previously. We used the Multiple Imputation procedure in SAS 9.1 for Windows32 to generate 5 data sets to tabulate the pattern of missing weight status and approximate the missing values.33 The imputation was based on 4 of the 5 compensatory feeding practices (the restriction outcome was not included because of missing data), food-security status, and covariates that were significant in bivariate analyses: ethnicity and child age. We used the MIANALYZE Procedure to adjust standard errors.
The imputed maternal weight status was then used in the logistic regression models.
Our model-building strategy involved entering covariates in a stepwise progression to determine their impact on the relationship between food security and compensatory feeding practices. After determining the unadjusted odds ratio (OR) for food insecurity, we examined the child covariates age and weight status, then ethnicity, and, finally, imputed maternal weight status. For logistic regression models, ORs and 95% confidence intervals (CIs) are reported.
| RESULTS |
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Food-Security Status
A description of the sample characteristics by food-security status is depicted in Table 1. Seventy-nine (28%) households in the study were food insecure. The food-secure and food-insecure groups differed significantly by ethnicity, child's age, and use of compensatory feeding practices. Compared with African American families, Haitian families were significantly more likely to be food insecure. Families with older children were also disproportionately more likely to be food insecure. Nearly 60% of children met study criteria for overweight; however, this characteristic was not associated with food security.
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Logistic Regression Analyses
Results of our model-building strategy are shown in Table 2. In the unadjusted model, food security was significantly associated with all compensatory feeding practices. Overall, there was little change in ORs with the inclusion of the child and maternal covariates, with the exception of restricting access to desired foods, for which the effect size of food security decreased by 35% compared with a 1% to 17% change seen in other models. In the fully adjusted model, compared with food-secure households, mothers in food-insecure households were significantly more likely to engage in 2 of the 5 hypothesized compensatory feeding practices: use of high-energy boosters (OR: 2.1 [95% CI: 1.1–4.0]) and use of a perceived appetite stimulant (OR: 3.2 [95% CI: 1.5–7.1]). Two additional practices approached statistical significance: adding sugar to beverages (OR: 2.1 [95% CI: 0.99–4.4]) and pressuring a child to eat (OR: 1.8 [95% CI: 0.98–3.2]). Because ethnicity was highly associated with compensatory feeding practices, we conducted a subsequent analysis that included the interaction between ethnicity and food security and found that there was no differential effect of food security on any of the outcomes by ethnicity.
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| DISCUSSION |
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This study is one of the first to use CFQ subscales, pressuring a child to eat and restricting access to desired foods, to examine maternal control of feeding when resources are limited and undernutrition is a perceived risk. Our study findings suggest a possible association between these feeding practices and food insecurity in an urban, low-income black population; however, previous work by Matheson et al40 found that food-related parenting attitudes among Mexican American mothers, using the same 2 CFQ subscales, did not differ significantly between food-secure and food-insecure households. The CFQ, which was initially validated in predominantly middle- to high-income populations,18,22,23 needs to be examined further to assess its properties among ethnically diverse, lower income, more food-insecure groups.
The increased use of high-energy supplements and appetite stimulants among food-insecure families was somewhat surprising, given their cost. Local offices of the Special Supplemental Nutrition Program for Women, Infants, and Children confirmed that they provide such supplements only to children who are clinically defined as underweight, children who were excluded from these analyses. Mothers may perceive these strategies as protective against undernutrition in their children and may believe that ensuring a child's "good appetite" may buffer them during periods of limited food access.
The mechanisms that link food insecurity and maternal feeding practices are uncertain; however, researchers41–43 have identified a common pattern of managing food resources in response to increasing family economic stress. Mothers, in particular, are likely to sacrifice food quality and variety to preserve children's usual levels of food intake, which tend to be disrupted only in dire situations. Hamelin et al44 described the phenomenon of worrying about having enough food in the future as a key feature of food insecurity. Worry about food sufficiency may manifest at the household level through modifications of eating pattern and ritual, during periods of both food adequacy and shortage. This model suggests that the experience of food insecurity may lead to feeding practices that mothers view as protective. It also helps explain the seemingly counterintuitive relationship between food restriction and food insecurity. Food-insecure families may restrict access to certain "unhealthy" desired foods to ensure that the child is sufficiently hungry to eat food of higher nutritional quality.
The lack of association between compensatory feeding practices and maternal weight status was unexpected, given previous research suggesting an association between maternal weight status and food insecurity and between maternal weight status and child feeding practices.22,23,45–47 To explore this relationship further, we conducted additional analyses to investigate whether there was a different relationship between food insecurity and compensatory feeding practices depending on maternal weight status. In models that included an interaction term for maternal weight and food insecurity, using both imputed maternal weight status and raw maternal weight data (weight in pounds), we found no differential effect on compensatory feeding practices on the basis of mother's weight. Our findings may be attributable to the higher than expected proportion of overweight women in our sample and require additional investigation in future studies.
This study has several limitations. First, we cannot directly link the compensatory feeding practices identified in this study to childhood overweight. Although the prevalence of these feeding practices and childhood overweight was high in our sample, the study was not designed to evaluate causality. Second, we used a convenience sample that introduces the possibility of selection bias. Although these results may not be generalizable to other populations, the sampling approach should not influence internal associations. Third, there were a large number of missing maternal weight and height data. We addressed this issue by using multiple imputation methods to compare findings with and without complete data. Overall, results were stable between the 2 analyses, but this study needs to be replicated using complete maternal anthropometric data.
| CONCLUSIONS |
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| ACKNOWLEDGMENTS |
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We thank Marie Foureau, MD, for project coordination and Mario Malivert, MD, MPH, for database design and management. We are grateful to Milton Kotelchuck, PhD, MPH, and Howard Bauchner, MD, for thoughtful review of the manuscript.
| FOOTNOTES |
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Address correspondence to Emily Feinberg, ScD, CPNP, Boston University School of Public Health, Department of Maternal Child Health, Department of Pediatrics, Boston Medical Center, 715 Albany St, T5W, Boston, MA 02118. E-mail: emfeinbe{at}bu.edu
The authors have indicated they have no financial relationships relevant to this article to disclose.
| What's Known on This Subject Food insecurity is associated with a range of poor childhood health and developmental outcomes. The relationship between food insecurity and childhood overweight is unclear.
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| What This Study Adds This study explores the relationship between food insecurity and maternal feeding practices that may alter the feeding environment and increase risk for childhood overweight. We focus on a high-risk population: ethnically diverse, urban black families.
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* The categorization of food security was changed in 2006 on the basis of a report Food Insecurity and Hunger in the United States: An Assessment of the Measure, conducted by the National Research Council of the National Academies. The categories of food secure, food insecure without hunger, and food insecure with hunger were replaced by those described in this paragraph. ![]()
Missing maternal anthropometric data is attributed to study procedures, not maternal reasons, and is considered missing at random. Maternal weight was not collected during the study pilot phase (n = 29 interviews). Maternal height was not collected until midway through the study. ![]()
Additional details of the imputation procedure are available from the authors on request. ![]()
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