Frequently Consumed Foods and Energy Contributions among Food Secure and Insecure U.S. Children and Adolescents

The implications of socioeconomic factors on salivary bioscience methodological variables in a large pediatric multi-site study

Introduction

Salivary bioscience has found increased utilization within pediatric research, given the non-invasive nature of self-collecting saliva for measuring biological markers. With this growth in pediatric utility, more understanding is needed of how social-contextual factors, such as socioeconomic factors or status (SES), influence salivary bioscience in large multi-site studies. Socioeconomic factors have been shown to influence non-salivary analyte levels across childhood and adolescent development. However, less is understood about relationships between these socioeconomic factors and salivary collection methodological variables (e.g., time of saliva collection from waking, time of day of saliva collection, physical activity prior to saliva collection, and caffeine intake prior to saliva collection). Variability in salivary methodological variables between participants may impact the levels of analytes measured in a salivary sample, thus serving as a potential mechanism for non-random systematic biases in analytes.

Methods

Our objective is to examine relationships between socioeconomic factors and salivary bioscience methodological variables within the Adolescent Brain Cognitive Development Study© cohort of children aged 9-10 years old (n = 10,567 participants with saliva samples).

Results

We observed significant associations between household socioeconomic factors (poverty status, education) and salivary collection methodological variables (time since waking, time of day of sampling, physical activity, and caffeine intake). Moreover, lower levels of household poverty and education were significantly associated with more sources of potential bias in salivary collection methodological variables (e.g., longer times since waking, collections later in the day, higher odds of caffeine consumption, and lower odds of physical activity). Consistent associations were not observed with neighborhood socioeconomic factors and salivary methodological variables.

Discussion

Previous literature demonstrates associations between collection methodological variables and measurements of salivary analyte levels, particularly with analytes that are more sensitive to circadian rhythms, pH levels, or rigorous physical activity. Our novel findings suggest that unintended distortions in measured salivary analyte values, potentially resulting from the non-random systematic biases in salivary methodology, need to be intentionally incorporated into analyses and interpretation of results. This is particularly salient for future studies interested in examining underlying mechanisms of childhood socioeconomic health inequities in future analyses.

Tap Water Avoidance Is Associated with Lower Food Security in the United States: Evidence from NHANES 2005-2018

BACKGROUND

Food insecurity has profound nutritional and public health consequences. Water insecurity may exacerbate food insecurity, yet little is known about the association between water and food insecurity in the United States or other high-income countries.

OBJECTIVE

This study aimed to estimate how tap water avoidance, a proxy of water insecurity, covaries with food insecurity; examine how the probability of food insecurity changed by tap water avoidance between 2005 and 2018; and test how the association between tap water avoidance and food insecurity differed across income and housing statuses.

DESIGN

This was a secondary analysis of the cross-sectional 2005-2018 National Health and Nutrition Examination Survey.

PARTICIPANTS/SETTING

Participants were 31,390 US adults 20 years and older.

MAIN OUTCOME MEASURES

The main outcome was food insecurity, using the US Food Security Survey Module.

STATISTICAL ANALYSES

Adjusted logistic regression models estimated how tap water avoidance was associated with the odds of food insecurity. Predicted probabilities of food insecurity over time and by income and housing status were plotted using marginal standardization.

RESULTS

Adults who avoided tap water had 21% higher odds (95% CI 1.09 to 1.34) of food insecurity compared with those who drank tap water. The probability of any food insecurity doubled between 2005-2006 and 2017-2018 and was consistently higher for tap water avoiders. Food insecurity decreased across both tap water drinkers and avoiders as income increased, but was higher among tap water avoiders at all income levels. Likewise, food insecurity was higher among renters than among homeowners but was higher among tap water avoiders in both housing groups.

CONCLUSIONS

Tap water avoidance is positively associated with food insecurity in the United States, and both insecurities have increased over time. Efforts to mitigate food insecurity should simultaneously address water insecurity issues, including tap water availability and quality, as these may be a modifiable contributors to food insecurity.

Differences in Dietary Intake Exist among U.S. Adults by Diabetic Status Using NHANES 2009–2016

The objective was to determine the most frequently consumed food items, food subcategories, and food categories, and those that contributed most to total energy intake for the group of U.S. adults reporting taking insulin, those with type 2 diabetes (T2D) not taking insulin, and those without diabetes. Laboratory tests and questionnaires of the National Health and Nutrition Examination Survey 2009–2016 classified 774 participants reporting taking insulin, 2758 participants reporting T2D not taking insulin, and 17,796 participants without diabetes. Raw and weighted frequency and energy contributions of each food item, food subcategory, and food category were calculated and ranked. Comparisons among groups by broad food category used the Rao–Scott modified chi-square test. Soft drinks ranked as the 8th and 6th most consumed food subcategory of participants with T2D not taking insulin and those without diabetes, and contributed 5th and 2nd most to energy, respectively. The group reporting taking insulin is likely to consume more protein foods and less soft drink compared to the other two groups. Lists of the most frequently reported foods and foods contributing most to energy may be helpful for nutrition education, prescribing diets, and digital-based dietary assessment for the group reporting taking insulin.

Evaluating the Full Plate Living lifestyle intervention in low-income monolingual Latinas with and without food insecurity

Introduction:

Food insecurity has long been associated with poor physical and mental health, especially among women from underrepresented minorities. Despite efforts to reduce food insecurity, rates continue to rise and remain disproportionately high among Latinx living in the United States, a group reporting worse mental health symptoms than any other ethnic group during the COVID-19 pandemic. The need to reduce the health burden associated with food insecurity among Latinas is urgent and requires a more targeted and innovative approach. Interventions using a popular education approach have proven effective among underserved populations, especially when these are delivered by community health workers. However, food insecurity status of the participants is often unreported and it is not clear whether or not results vary between those with and without food insecurity.

Objectives:

The aim of this quasi-experimental study was to examine physical and mental health changes among Latinas with, and without, food insecurity following a multicomponent health intervention led by community health workers using a popular education approach.

Methods:

Enrolled obese Latinas (N = 98) with and without food insecurity responded to demographic, health behaviors and mental health surveys and completed biometric measurements at baseline, immediately following the intervention and at 3 months.

Results:

At baseline, participants with food insecurity reported more anxiety and depression than those without, but average body mass index was comparable. Depression, anxiety and body mass index were lower at 3 months post and no statistically significant differences were seen between the groups. Participants with food insecurity benefited as much from the intervention as those without.

We found that, although community health workers are not licensed healthcare professionals, with proper training and support, they were able to successfully reduce the risk of chronic diseases and improve mental health symptoms among food-insecure Latinas.

Conclusion:

Given the promising results, similar interventions should be implemented on a larger scale in Latino communities among food insecure women. Long-term sustainability should also be explored.

The Adherence of Singaporean Students in Different Educational Institutions to National Food-Based Dietary Guidelines

There are currently limited data on the dietary habits of young Singaporeans. This study aimed to evaluate the adherence of 17–21 year olds attending different educational institutions using a novel diet-quality scoring method. Dietary data were collected using a single weekday 24 h dietary recall in a cross section of 536 Singaporeans aged 17–21 years. An 11 category scoring system (0.0–100.0) was used to define adherence to food based dietary guidelines. Demographic and self-reported data were also collected via a questionnaire, BMI status, and using Mann-Whitney and Kruskal-Wallis (non-parametric) tests, with post-hoc Bonferroni-corrected tests. The median diet quality score was 48.5 (IQR 40.5, 56.4) for this cohort, with component scores for “Total fruit”, “Whole fruit”, “Total vegetables”, “Dark green leafy & orange vegetables”, “Whole grains”, “Dairy products”, and “Sodium” frequently scoring the minimum value. Median diet quality scores were statistically different for groups by ethnic origin (p < 0.001) and by educational institution (p < 0.001). Intake of fruit, vegetables, and whole grains is minimal, while sodium intake is frequently too high in young Singaporeans. Differences across ethnic groups and types of educational institutions suggest the need for targeted interventions to improve dietary habits in this population.