Nutritional problems in childhood and adolescence: a narrative review of identified disparities

Understanding family food purchasing behaviour of low-income urban UK families: An analysis of parent capability, opportunity and motivation

OBJECTIVE

Family food purchasing decisions have a direct influence on children's food environments and are powerful predictors of obesity and dietary quality. This study explored parents' capability, opportunities, and motivations regarding food purchasing for their families, as well as barriers and facilitators of healthy food purchasing behaviour, in an ethnically diverse, low-income area.

DESIGN

Semi-structured interviews with parents of under-11-year-old children were conducted to investigate family food purchases, both when eating inside and outside the home. Interviews were analysed using framework analysis mapped against the COM-B model (Michie et al., 2011).

SETTING

An ethnically diverse, low-income area in Birmingham, UK.

PARTICIPANTS

Sixteen parents (13F, 3M) of under-11-year-old children. 75% Pakistani, 12.5% White British, 6.3% White and Black Caribbean, and 6.3% "Other".

RESULTS

Four themes were identified: i) I know how to provide healthy meals for my family, ii) Family food purchase decisions are complex, iii) I want what they are eating and iv) Healthy eating is important but eating outside of the home is a treat. The barriers of healthy family food purchasing were predominantly at family and community levels, including time, cost, and both parents' and children's food enjoyment and preferences. Facilitators of healthy family food purchasing were primarily identified at an individual level, with high levels of capability and motivation for healthy food provision.

CONCLUSIONS

Attempts to enhance parental capability to improve healthy food purchasing through nutrition education is not likely to be a useful intervention target in this group. Emphasis on enjoyment, palatability and value for money could be key to increasing parental motivation to purchase healthy family foods.

Social causation, social selection, and economic selection in the health outcomes of Chinese older adults and their gender disparities

Background

The economic selection hypothesis, which argues that the initial economic situation determines both subsequent health and economic conditions, has been drawn into the debate on causation-selection issues. This study aims to construct a path model with self-rated health and depression score of older adults as health outcomes to measure and compare the social causation forces of wealth accumulation, social selection forces of adulthood health, and economic selection forces of childhood economics, and to examine their gender disparities.

Methods

Data was obtained from a sample of 19613 older adults aged 45 years or above from the 2014 life history survey and the 2015 routine follow-up survey of the China Health and Retirement Longitudinal Study. Structural equation modeling analysis was conducted employing the full information maximum likelihood estimation method.

Results

The presence of social causation, social selection, and economic selection were all statistically supported. In self-rated health, social selection forces held the dominant position, while social causation forces were comparable to economic selection forces. In depression score, social selection still exhibited stronger forces than economic selection, but social causation had forces close to social selection and greater than economic selection. The forces of the three hypotheses in self-rated health did not significantly change with gender, but social causation exerted mightier forces than economic selection within the male group, unlike the female group. The forces of economic selection in depression score were greater in females than males and no significant differences were observed among the forces of the three hypotheses in the female group.

Conclusions

Social causation, social selection, and economic selection operate simultaneously on the self-rated health and depression score of older adults. However, the force magnitudes of the three hypotheses and/or their rankings differ by health outcomes and gender.

Age-related differences in eating location, food source location, and timing of snack intake among U.S. children 1-19 years

BACKGROUND

Snacking is nearly universal and contributes significant energy to U.S. children's diets. Little is known, however, about where and when snacking intake occurs and if such patterns change with age. This research evaluated age-related differences in eating location, food source location, and timing of snacking among U.S. children aged 1-19 years (y).

METHODS

A cross-sectional analysis of snacking among 14,666 children in the 2007-2018 U.S. National Health and Nutrition Examination Survey was conducted using a single 24-hour dietary recall. Snacking was participant-defined and included all eating occasions outside of meals. Linear regression and analysis of covariance were used to examine the effects of age (toddler 1-2 y, preschooler 3-5 y, school-age 6-11 y, adolescent 12-19 y) on the percentage of daily snack energy consumed by eating location (at home vs. away from home), food source location (grocery store, convenience store, school/childcare, restaurant, from someone else (i.e. "socially"), and other), and time of day (morning, 6am-12pm; early afternoon, 12pm-3pm; late afternoon/afterschool 3pm-6pm; evening 6pm-9pm, late-night 9pm-12am, and overnight 12am-6am).

RESULTS

On average, U.S. children consumed most of their daily snacking energy at home (71%), from foods and beverages obtained from grocery stores (75%), and in the late afternoon/afterschool (31%). Toddlers and preschoolers consumed a greater percentage of their daily snack energy during the morning hours compared to school-age children and adolescents (both p < 0.001); school-age children consumed the most in the evening (27%, p < 0.001), and adolescents consumed the most in the late-night period (22%, p < 0.001). Age-related increases were seen in the percentage of daily snacking energy eaten outside the home (p < 0.001), and obtained socially (p < 0.001), from restaurants (p < 0.001), and convenience stores (p < 0.001).

CONCLUSION

Findings reveal age-related differences in eating location, food source location, and timing of snack intake among U.S. children aged 1-19 y. Younger children consume a greater percentage of snacking calories in the morning and at home relative to older children. School-age children and adolescents show greater snacking in the evening and at night and from foods obtained and eaten outside the home. Efforts to promote healthy snacking behaviors among children should consider developmental differences in snacking patterns.

Association of Snacking Frequency, Size, and Energy Density with Weight Status among Preschool-Aged Children in the United States

BACKGROUND

Snacking (ie, eating between meals) is common among US preschool-aged children, but associations with weight status are unclear.

OBJECTIVE

This research evaluated associations of snack frequency, size, and energy density as well as the percent of daily energy from snacking with weight status and sociodemographic characteristics among US children aged 2 to 5 years.

DESIGN

Cross-sectional analysis of 2007-2018 National Health and Nutrition Examination Survey data using two, caregiver proxy, 24-hour dietary recalls.

PARTICIPANTS/SETTING

US children aged 2 to 5 years (n = 3,313) with at least one snack occasion over 2 days of intake.

MAIN OUTCOME MEASURES

Snacking parameters included frequency (number of occasions per day), size (kilocalories per occasion), and energy density (kilocalories per gram per occasion) as well as percent of daily energy from snacking.

STATISTICAL ANALYSES

Generalized linear regression models evaluated associations of snacking with child weight status (ie, normal weight and overweight/obesity), adjusting for survey weights, energy misreporting, mean meal size, and sociodemographic covariates.

RESULTS

Children with overweight/obesity consumed more frequent snacks (2.8 [0.06] vs 2.5 [0.03] snacks/day, respectively; P < 0.001), larger snacks (188 [4] vs 162 [23] kcal/occasion, respectively; P < 0.001), and a greater percent of daily energy from snacking (29.80% [1.00%] vs 26.09% [0.40%], respectively; P < 0.001) than children with normal weight. Mean snack frequency and size as well as percentage of daily energy from snacking varied with child age, gender, and head of household education. Associations of snacking with child race and ethnicity were less consistent.

CONCLUSIONS

These nationally representative findings provide evidence that the consumption of larger, more frequent snacks is associated with overweight/obesity among US children aged 2 to 5 years and snacking varies by sociodemographic characteristics.

Association of weight status with the types of foods consumed at snacking occasions among US adolescents

OBJECTIVE

This study aimed to evaluate snack food-group composition by weight status among United States adolescents.

METHODS

Cross-sectional analysis of adolescent food-group-component intake from snacking occasions using two 24-hour dietary recalls from the 2007 through 2018 National Health and Nutrition Examination Survey (NHANES; n = 5264; 12-19 years) was conducted. ANCOVA models evaluated food intakes by BMI percentile (BMI%; normal weight [NW]: <85th BMI%; overweight [OW]: 85th-95th BMI%; and obesity [OB]: ≥95th BMI%), adjusting for energy misreporting and key covariates.

RESULTS

Adolescents with OB consumed greater total daily energy from snacks (mean [SE]: NW = 424 [10] kcal; OW = 527 [16] kcal; OB = 603 [22] kcal; p < 0.001) than adolescents with OW and NW. Adolescents with OW or OB consumed higher amounts of refined grains, dairy, protein, oil, solid fat, and added sugar from snacks than adolescents with NW (p < 0.05-0.001).

CONCLUSIONS

Adolescents with OW or OB consume more calories and higher levels of overconsumed dietary components, i.e., added sugar, solid fats, and refined grains, from snacks than adolescents with NW. Age-specific snacking recommendations to inform dietary guidance are needed to prevent excess intake of overconsumed nutrients and calories.

Estimates of the Nutritional Impact of Non-Participation in the National School Lunch Program during COVID-19 School Closures

The COVID-19 pandemic resulted in widespread school closures, reducing access to school meals for millions of students previously participating in the US Department of Agriculture (USDA) National School Lunch Program (NSLP). School-prepared meals are, on average, more nutritious than home-prepared meals. In the absence of recent data measuring changes in children's diets during the pandemic, this article aims to provide conservative, back-of-the-envelope estimates of the nutritional impacts of the pandemic for school-aged children in the United States. We used administrative data from the USDA on the number of NSLP lunches served in 2019 and 2020 and nationally representative data from the USDA School Nutrition and Meal Cost Study on the quality of school-prepared and home-prepared lunches. We estimate changes in lunchtime calories and nutrients consumed by NSLP participants from March to November 2020, compared to the same months in 2019. We estimate that an NSLP participant receiving no school meals would increase their caloric consumption by 640 calories per week and reduce their consumption of nutrients such as calcium and vitamin D. Because 27 to 78 million fewer lunches were served per week in March-November 2020 compared to the previous year, nationally, students may have consumed 3 to 10 billion additional calories per week. As students return to school, it is vital to increase school meal participation and update nutrition policies to address potentially widening nutrition disparities.

Socioeconomic Disparities in Foods/Beverages and Nutrients Consumed by U.S. Adolescents When Snacking: National Health and Nutrition Examination Survey 2005-2018

Snacking contributes a significant portion of adolescents’ daily energy intake and is associated with poor overall diet and increased body mass index. Adolescents from low socioeconomic status (SES) households have poorer snacking behaviors than their higher-SES counterparts. However, it is unclear if the types of food/beverages and nutrients consumed during snacking differ by SES among adolescents. Therefore, this study examines SES disparities in the aforementioned snacking characteristics by analyzing the data of 7132 adolescents (12–19 years) from the National Health and Nutrition Examination Survey 2005–2018. Results reveal that adolescents from low-income households (poverty-to-income ratio (PIR) ≤ 1.3) have lower odds of consuming the food/beverage categories “Milk and Dairy” (aOR: 0.74; 95% CI: 0.58-0.95; p = 0.007) and “Fruits” (aOR: 0.62, 95% CI: 0.50–0.78; p = 0.001) as snacks and higher odds of consuming “Beverages” (aOR: 1.45; 95% CI: 1.19-1.76; p = 0.001) compared to those from high-income households (PIR > 3.5). Additionally, adolescents from low- and middle-income (PIR > 1.3–3.5) households consume more added sugar (7.98 and 7.78 g vs. 6.66 g; p = 0.012, p = 0.026) and less fiber (0.78 and 0.77 g vs. 0.84 g; p = 0.044, p = 0.019) from snacks compared to their high-income counterparts. Future research is necessary to understand factors that influence snacking among adolescents, and interventions are needed, especially for adolescents from low-SES communities.