Factors related to poor diet quality in food insecure populations

Association of healthy eating index and anthropometric indices among primary school girls in southeast of Iran: a cross-sectional study

BACKGROUND

The school-age period is marked by substantial advancements in physical and cognitive development, highlighting the importance of assessing the diet quality and its impact on body weight and height. The main objective of this study was to evaluate the association between diet quality and selected anthropometric indices of primary school girls in southeast of Iran using the healthy eating index-2015 (HEI-2015).

METHODS

This cross-sectional study involved 330 students aged 6-12 years from 10 primary schools in Kerman City. Standard protocols and a dish-based food frequency questionnaire were employed to evaluate anthropometric indices and dietary intake. The HEI-2015 was utilized to assess the quality of participants' diets, with a total score ranging from zero to 100, based on thirteen food score components.

RESULTS

In the present study, older participants had higher HEI scores (p = 0.02). Additionally, participants in the highest tertile of HEI score had greaterodds of being overweight (OR: 2.13; CI = 1.17-3.85, P = 0.011) and had higher intakes of whole fruits, total fruits including fruit juice, whole grains, total protein foods, seafood and plant proteins, greens, and beans (p < 0.05). However, no significant association was found between HEI score and other anthropometric indices, obesity, and thinness.

CONCLUSIONS

The study found no significant association between HEI scores and the likelihood of being thin or obese. However, children with the highest HEI scores were more likely to beoverweight. Therefore, it is recommended to implement health programs for primary school girls in Kerman to improve their eating habits and reduce the risk of overweight and obesity.

Is food insecurity related to sustainable and healthy eating behaviors?

In this cross-sectional study, it was aimed to investigate the relationship between sustainable and healthy eating behaviors such as nutritional insecurity and a healthy and balanced diet, interest in regional and organic food products, consumption of seasonal food and avoidance of food waste, preference for locally produced foods, reduction of meat consumption, preference for eggs from free-range chickens, and sustainable fishery products, and consumption of low-fat food products in adults. The study included 410 adults who were reached through social media applications. Data were collected through an online questionnaire including the Descriptive Information Form, the Household Food Insecurity Access Scale (HFIAS), and the Sustainable Healthy Eating Behaviors Scale (SHEBS). The proportion of participants determined as mildly food insecure, moderately food insecure, and severely food insecure was 10.2%, 6.6%, and 7.6%, respectively. Linear regression analysis revealed that in Models 1, 2, and 3, there was a statistically significant negative association between food insecurity and the components of sustainable and healthy eating behaviors such as healthy and balanced diet (β - 0.226, p < 0.001), quality labels (β - 0.230, p < 0.001), seasonal foods, which are of avoidance of food waste (β - 0.261, p < 0.001), animal welfare (β - 0.174, p < 0.001), and fat intake (β - 0.181, p < 0.001). In conclusion, food insecurity negatively affects healthy and balanced diet behaviors, interest in regional and organic food products, seasonal food products consumption and avoidance of food waste, consumption of low-fat food products, and the choice of products such as free-range chicken eggs, and sustainable fisheries.

Moderate-to-severe food insecurity is positively correlated with the risk of eating disorders in the aftermath of the COVID-19 pandemic

Background

The COVID-19 pandemic may have worsened food insecurity and altered the eating behaviour of young adults. Therefore, this cross-sectional study aims to investigate the correlation between moderate-to-severe food insecurity and the risk of eating disorders among young urbanists in Malaysia after the pandemic-led lockdown.

Methods

The food security status and the risk of eating disorders were assessed using the validated Food Insecurity Experience Scale (FIES) and Eating Attitude Test (EAT-26), respectively.

Results

Among the 208 young urbanists, approximately one-third (30.8%) were moderate-to-severe food insecure and about one-fifth (18.8%) were at risk of eating disorders after the nationwide lockdown. With the adjustment of gender, the binary logistic regression analysis revealed that moderate-to-severe food insecure individuals were 2.279 times (P = 0.030, 95% CI = 1.084-4.791) more likely to engage in disordered eating in the aftermath of the COVID-19 pandemic. The findings of partial correlation further indicated that moderate-to-severe food insecurity was positively correlated (r_partial = 0.156, P = 0.024) with bulimia and food preoccupation after the outbreak.

Conclusions

Governments and non-governmental organizations must work closely to develop effective policies to address food insecurity and disordered eating behaviour among young urbanists - after the pandemic.

Food Insecurity and Hearing Loss Are Interrelated: A Cross-Sectional Population-Based Study

OBJECTIVES

We aimed to assess whether objectively measured hearing loss and self-perceived hearing handicap in adults are independently associated with food insecurity, and vice versa.

DESIGN

Cross-sectional population-based study.

POPULATION

2,500 participants aged 50+ years from the Blue Mountains Hearing Study, with both complete pure-tone audiometry data and information on food security status.

MEASUREMENTS

The pure-tone average of frequencies 0.5, 1.0, 2.0 and 4.0 kHz (PTA0.5-4KHz) >25 dB HL in the better ear, established the presence of hearing loss. Self-perceived hearing handicap was assessed by administering the Hearing Handicap Inventory for Elderly Screening (HHIE-S total scores of ≥8 indicates hearing handicap). A 12-item food security survey was administered, comprising statements related to individual and household food situations.

RESULTS

Food insecurity was reported by 12.8% of study participants. After adjusting for all potential confounders, any self-perceived hearing handicap significantly increased the likelihood of participants reporting food insecurity by 94% (p<0.0001). Participants reporting any, mild or severe self-perceived hearing handicap had around 2-fold greater odds of experiencing food insecurity. Objectively measured hearing loss did not significantly influence the food security status of study participants. Conversely, food insecurity was significantly associated with both objectively measured hearing loss and self-perceived hearing handicap: multivariate-adjusted OR 1.37 (95% CI 1.01-1.88) and OR 1.83 (95% CI 1.40-2.39), respectively.

CONCLUSIONS

Food insecurity was an important social determinant of hearing health among community-dwelling adults. Conversely, participants with a significant self-perceived hearing handicap were more likely to experience food insecurity. These findings add to our understanding of the substantial public health impact of both food insecurity and hearing loss and may highlight areas for future intervention.

Household food insecurity and its association with overweight and obesity in children aged 2 to 14 years

BACKGROUND

The objective was to estimate the prevalence of household food insecurity (HFI) depending on sociodemographic factors and its association with lifestyle habits and childhood overweight and obesity.

METHODS

Data was collected from 1,938 children aged 2 to 14 years who participated in the "Study about Malnutrition" of the Community of Madrid. Weight and height were obtained through physical examination. Body mass index was calculated as weight/height² (kg/m²) and the criteria of the WHO were used for determining conditions of overweight and obesity. The participants' parents answered a structured questionnaire about their diet, lifestyle (physical activity and screen time), and food insecurity. The diet quality was assessed with the Healthy Eating Index in Spain and food insecurity, defined as the lack of consistent access to sufficient food for a healthy life, was measured via three screening questions and the Household Food Insecurity Access Scale (HFIAS). Odds Ratios (ORs) and Relative Risk Ratios (RRRs) were estimated using logistic regression models and adjusted for confounding variables.

RESULTS

The overall prevalence of HFI was 7.7% (95% CI: 6.6‒9.0), with lower values in children 2 to 4 years old (5.7%, 95% CI: 4.0‒8.1) and significantly higher values in households with low family purchasing power [37.3%; OR: 8.99 (95% CI: 5.5‒14.6)]. A higher prevalence of overweight (33.1%) and obesity (28.4%) was observed in children from families with HFI, who presented a lower quality diet and longer screen time compared to those from food-secure households (21.0% and 11.5%, respectively). The RRR of children in families with HFI relative to those from food-secure households was 2.41 (95% CI: 1.5‒4.0) for overweight and 1.99 (95% CI: 1.2‒3.4) for obesity.

CONCLUSION

The prevalence of HFI was high in the paediatric population, especially in households with low family purchasing power. HFI was associated with lower diet quality and higher prevalence of childhood overweight and obesity. Our results suggest the need for paediatric services to detect at-risk households at an early stage to avoid this dual burden of child malnutrition.

Eating Choices—The Roles of Motivation and Health Literacy: A Cross-Sectional Study

Food choices are determined by intrinsic and extrinsic product characteristics, biological and physiological features, psychological factors, and situational and socio-cultural factors. Self-determination theory offers the explanation of health behavior change identifying motivations located along a continuum of autonomy. Another approach to the motivations guiding health behaviors, including food choices, relies on distinguishing thematic categories. Health motivations seem to be an obvious determinant of health behaviors, but final decisions regarding health are also the effect of other types of motivations such as economic, cultural, or emotional. The role of marketing pressure in modern society is perceived to be an important source of motivation for purchasing food and other products. The Motivation–Opportunity–Ability (MOA) framework was initially proposed in order to explain the processing of brand information from advertisements and was later expanded to other areas, including health and nutritional behaviors. The aim of this study was the analysis of determinants of food choices. We have developed a common regression model including six categories of motivations addressed by the Eating Motivations Scale and three health literacy types corresponding with element of ability from the MOA framework, adjusted for socio-demographic factors, health status, and the use of the Internet and TV. The analysis was performed on data from a computer-assisted web-based interviewing (CAWI) survey among 2008 adult Internet users completed in May 2022. The uni- and multivariate linear regression models were developed with the Index of Unhealthy Food Choices (IUFC), calculated based on the responses to items asking about the frequency of the consumption of twelve food categories. Univariate modeling revealed that IUFC is significantly associated with health, food, and e-health literacies and with five out of six eating motivations. However, the multivariate regression model yielded significant associations only for eating motivations but not for the three literacy scores. Health motivation was negatively associated with IUFC (B, standard error (SE): 0.83, 0.07; 95% confidence interval (95% CI): 0.98–0.69), but positively with emotional (B, SE: 0.22, 0.04; 95% CI: 0.14–0.3), economic (B, SE: 0.41, 0.08; 95% CI: 0.25–0.56), and marketing (B, SE: 0.62, 0.08; 95% CI: 0.47–0.78) motivations. Our findings suggest that motivations guiding food choices may prevail over the element of ‘ability’ distinguished in the frameworks and models that explain people’s behaviors, including behaviors relating to health. Thus, it is essential to emphasize development of appropriate motivations and not only to provide knowledge and skills. Furthermore, one should also remember motivations other than health motivations when searching for the determinants of health behaviors.

Coping Strategies for Household Food Insecurity, and Perceived Health in an Urban Community in Southern Mozambique: A Qualitative Study

In low- and middle-income countries, food insecurity (FI) is a living reality for many households, particularly among the most vulnerable groups. The burden of household FI in Mozambique and how FI and coping strategies relate to perceived health are unknown. This study investigated the lived experiences and coping strategies of food-insecure households, along with their perceived health. Altogether, 16 in-depth interviews were performed, audio-recorded, and transcribed verbatim. A qualitative content analysis was carried out and five themes emerged: lived experiences of FI, coping strategies used in situations of FI, food choices, climate change and food security, and FI and perceived health. A wide range of lived experiences and coping strategies were reported, including cooking whatever is available, skipping meals, receiving money or food from friends and relatives, eating unsafe and low-quality foods, taking on additional work, cooking least-preferred foods, and having a monotonous and less-nutritious diet. Furthermore, the participants reported emotional distress, anxiety and depression, substance use, and other negative health outcomes. Some had diagnoses of hypertension, diabetes or HIV/AIDS. The findings suggest the need for employment creation and women’s empowerment, as well as the implementation of appropriate policies and programmes to alleviate household FI.

Family Food Insecurity, Food Acquisition, and Eating Behavior Over 6 Months Into the COVID-19 Pandemic

OBJECTIVES

Describe coronavirus disease 2019 (COVID-19)-related employment and food acquisition changes for food-secure and food-insecure households. Examine associations between food insecurity, parent food acquisition, and child eating.

METHODS

A nationally representative cross-sectional survey with parents (N = 1,000) in Fall 2020. Measures included sociodemographics, food retail regulations, food insecurity, frequency of meals, changes in parent employment, food preparation, and food acquisition because of COVID-19.

RESULTS

Parents that reported recent food insecurity were more likely to report COVID-19-related employment changes (eg, job loss, reduced hours) and food acquisition changes. Food insecurity was modestly associated with more frequent in-person restaurant dining (B = 0.12, t(999) = 4.02, P < 0.001), more frequent restaurant delivery (B = 0.13, t(999) = 4.30, P < 0.001), less frequent homecooked meals (B = -0.14, t(999) = 4.56, P < 0.001) but was not associated with take-out (B = 0.02, t(999) = 0.62, P = 0.54).

CONCLUSIONS AND IMPLICATIONS

Food insecurity was associated with employment changes, parent food acquisition, and children's consumption of homecooked and restaurant meals during COVID-19. Future work could explore resources that help parents acquire affordable, nutritious food.

Moderators of Food Insecurity and Diet Quality in Pairs of Mothers and Their Children

Research has suggested that maternal diet and characteristics may influence the diet of offspring during childhood. The present cross-sectional study aimed to assess the influence of distinct maternal characteristics and the diet quality of mothers on the prevalence of household food insecurity (FI) and the diet quality of children. A total of 179 mother–child pairs were recruited from two primary schools in the metropolitan area of Thessaloniki. The children were aged between 10 and 12 years old. Diet quality was assessed as the level of adherence to the Mediterranean diet (MD), with the use of the KIDMED for the children and the MedDietScore for the mothers. The household FI and the social and demographic characteristics of the mothers were also recorded, and anthropometric measures of both the mothers and their children were collected. Approximately ¼ (26.3%) of the pairs reported some degree of FI, with a greater prevalence (64.7%) within single-mother families. Moreover, FI affected the level of maternal MD adherence (p = 0.011). On the other hand, FI was decreased in households with a greater maternal educational level (OR: 0.25; 95% CI: 0.10–0.63) and conjugal family status (OR: 0.15; 95% CI: 0.87–0.52). Maternal adherence to the MD was inversely related to the respective adherence of their offspring (OR: 0.93; 95% CI: 0.86–0.997), suggesting that during periods of financial constraints, maternal diet quality is compromised at the expense of affording a better diet for the minors in the family.

Daily food insecurity is associated with diet quality, but not energy intake, in winter and during COVID-19, among low-income adults

BACKGROUND

Food insecurity (FI) is a dynamic phenomenon. Experiences of daily FI may impact dietary outcomes differently within a given month, across seasons, and before or during the COVID-19 pandemic.

OBJECTIVES

The aims of this study were to investigate the association of short-term FI with dietary quality and energy 1) over six weeks in two seasonal months and 2) before and during the COVID-19 pandemic.

METHODS

Using an ecological momentary assessment framework on smartphones, this study tracked daily FI via the 6-item U.S. Adult Food Security Survey Module and dietary intake via food diaries in 29 low-income adults. A total of 324 person-days of data were collected during two three-week long waves in fall and winter months. Generalized Estimating Equation models were applied to estimate the daily FI-diet relationship, accounting for intrapersonal variation and covariates.

RESULTS

A one-unit increase in daily FI score was associated with a 7.10-point (95%CI:-11.04,-3.15) and 3.80-point (95%CI: -6.08,-1.53) decrease in the Healthy Eating Index-2015 (HEI-2015) score in winter and during COVID-19, respectively. In winter months, a greater daily FI score was associated with less consumption of total fruit (-0.17 cups, 95% CI: -0.32,-0.02), whole fruit (-0.18 cups, 95%CI: -0.30,-0.05), whole grains (-0.57 oz, 95%CI: -0.99,-0.16) and higher consumption of refined grains (1.05 oz, 95%CI: 0.52,1.59). During COVID-19, elevated daily FI scores were associated with less intake of whole grains (-0.49 oz, 95% CI: -0.88,-0.09), and higher intake of salt (0.34 g, 95%CI: 0.15,0.54). No association was observed in fall nor during the pre-COVID-19 months. No association was found between daily FI and energy intake in either season, pre-COVID 19, or during-COVID-19 months.

CONCLUSION

Daily FI is associated with compromised dietary quality in low-income adults in winter months and during the COVID-19 period. Future research should delve into the underlying factors of these observed relationships.

Did School Meal Programs and SNAP Participation Improve Diet Quality of US Children from Low-Income Households: Evidence from NHANES 2013-2014?

Nutrition assistance programs such as school meals and the Supplemental Nutrition Assistance Program (SNAP) are designed to provide a safety net for the dietary intake of children from low-income families. However, compared with eligible non-participants, the relationship of diet quality with school meals only and school meals + SNAP is not well understood. The objectives of the study include: (1) To explore whether and to what extent nutrition assistance program participation (school meals only and school meals + SNAP) is related to diet quality; and (2) to examine the differences of diet quality between participating in school meals only, school meals + SNAP, or non-participation among American children. Children aged 5 to 18 years old from income eligible households who participated in the 2013-2014 National Health and Nutrition Examination Survey (NHANES) were included in this cross-sectional study (n = 1425). Diet quality was measured using the Healthy Eating Index (HEI)-2015 and its 13 subcomponents. A Rao-Scott Chi-square test, propensity scores approach, and Analysis of Covariance were performed. Covariates included age, sex, race/ethnicity, weight status, and family monthly poverty index. SAS survey procedures were used to incorporate the appropriate sample design weights. Participation in school meals + SNAP was not associated with higher diet quality compared to eligible non-participants or school meals-only participants. Participation in school meals + SNAP improved the intake of total dairy, but not added sugars or total vegetables compared to school meals only. Overall, school meal + SNAP participation did not significantly improve the overall diet quality of children in low-income households relative to comparable non-participants.

The Supply of Calories, Proteins, and Fats in Low-Income Countries: A Four-Decade Retrospective Study

Over the past decades, both the quantity and quality of food supply for millions of people have improved substantially in the course of economic growth across the developing world. However, the number of undernourished people has resumed growth in the 2010s amid food supply disruptions, economic slowdowns, and protectionist restrictions to agricultural trade. Having been common to most nations, these challenges to the food security status of the population still vary depending on the level of economic development and national income of individual countries. In order to explore the long-run determinants of food supply transformations, this study employs five-stage multiple regression analysis to identify the strengths and directions of effects of agricultural production parameters, income level, price indices, food trade, and currency exchange on supply of calories, proteins, and fats across 11 groups of agricultural products in 1980-2018. To address the diversity of effects across developing nations, the study includes 99 countries of Asia, Europe, Latin America, the Middle East, and Africa categorized as low-income, lower-middle-income, and upper-middle-income economies. It is found that in low-income countries, food supply parameters are more strongly affected by production factors compared to economic and trade variables. The effect of economic factors on the food supply of higher-value food products, such as meat and dairy products, fruit, and vegetables, increases with the rise in the level of income, but it stays marginal for staples in all three groups of countries. The influence of trade factors on food supply is stronger compared to production and economic parameters in import-dependent economies irrelevant of the gross national income per capita. The approach presented in this paper contributes to the research on how food supply patterns and their determinants evolve in the course of economic transformations in low-income countries.

Association Between Food Insecurity and Diet Quality Among Early Care and Education Providers in the Pennsylvania Head Start Program

Introduction

Food insecurity affects dietary behaviors and diet quality in adults. This relationship is not widely studied among early care and education (ECE) providers, a unique population with important influences on children’s dietary habits. Our study’s objective was to explore how food insecurity affected diet quality and dietary behaviors among ECE providers.

Methods

We used baseline data from a cluster-randomized controlled trial (January 2019−December 2020) on 216 ECE providers under the Pennsylvania Head Start Association. We used radar plots to graph scores for the Healthy Eating Index 2015 and the Alternative Healthy Eating Index (AHEI) 2010 and fitted a multivariate regression model for diet quality measures, adjusting for covariates.

Results

Among the 216 participants, 31.5% were food insecure. ECE providers who were food insecure had a lower AHEI-2010 mean score (mean difference for food insecure vs food secure = −4.8; 95% CI, −7.8 to −1.7; P = .002). After adjusting for covariates, associations remained significant (mean difference = −3.9; 95% CI, −7.5 to −0.4; P = .03). Food insecure ECE providers were less likely to use nutrition labels (22.8% vs 39.1%; P = .046) and more likely to report cost as a perceived barrier to eating fruits and vegetables.

Conclusion

We found a significant inverse association between food insecurity and the AHEI-2010 diet quality score among ECE providers after adjusting for covariates. More studies are needed to examine the effects of food insecurity on dietary behaviors of ECE providers and their response to nutrition education programs targeting their health.