BACKGROUND: The global increase in multimorbidity among older adults is a result of ongoing epidemiological and demographic transitions. This study focuses on the prevalence and determinants of frailty in this demographic in India, accounting for the potential mediating role of food insecurity.
OBJECTIVE: To determine the prevalence and determinants of frailty among older Indian adults with multimorbidity, and to ascertain the mediating effect of food insecurity on frailty.
METHODS: Cross-sectional analysis of cohort study data.
METHODS: Analysis of data from the Longitudinal Aging Study in India (LASI) Wave 1 (2017-2018).
METHODS: 31,902 individuals aged 60 and above of whom 7900 were categorized as having multimorbidity.
METHODS: Frailty was assessed using a modified Fried scale. Details on sociodemographic factors, lifestyle choices, and health-related variables were collected through face-to-face participant interviews. Multimorbidity was defined as the presence of two or more chronic conditions such as hypertension, diabetes, cancer, chronic lung disease, chronic heart disease, stroke, bone disease, neurological or psychiatric problems, and high cholesterol. Statistical analysis was conducted using Stata 15.1.
RESULTS: The weighted prevalence of frailty in individuals with multimorbidity was 30.31% (95% CI: 28.17, 32.54), significantly higher than those without multimorbidity (23.81%, 95% CI: 22.90, 24.74) (P<0.001). Frailty prevalence was higher in women (33.27%) than in men (26.56%) among those with multimorbidity. In the group with multimorbidity, age ≥75 (years), middle MPCE quintile, lower educational attainment, unemployment, and low body mass index was associated with higher odds of frailty. Mediation analysis showed that 3.47% of the association between multimorbidity and frailty was mediated by food insecurity.
CONCLUSIONS: Frailty is prevalent among older adults with multimorbidity in India, with significant disparities based on gender, age, socioeconomic status, and body mass index. Food insecurity partially mediates the relationship between multimorbidity and frailty, highlighting the need for targeted interventions addressing both health and nutritional insecurities in this population.

UNASSIGNED: Food insecurity is a pivotal determinant of health outcomes. Little evidence exists on the association between food insecurity and health behaviors and outcomes, including diet quality, among graduate students or postdoctoral trainees.
UNASSIGNED: This study aimed to examine the association between food insecurity and diet quality among graduate students and postdoctoral trainees at 3 health-focused graduate schools (public health, medical, and dental medicine) within Harvard University.
UNASSIGNED: Between April and June 2023, 1287 graduate students and 458 postdoctoral trainees at the health-focused schools within Harvard University completed a web-based survey. The primary exposure was food security status, assessed using the United States Household Food Security Survey Module. The primary outcome was diet quality, measured using the 30-day Prime Diet Quality Score screener (ranges from 0 to 126, with higher scores indicating healthier diets). The associations between food insecurity and diet quality were examined using multivariable regression models, adjusting for sociodemographic covariates.
UNASSIGNED: Among graduate students, compared with those with high food security, diet quality was significantly lower among those experiencing marginal food security [β: -4.7; 95% confidence interval (CI): -6.5, -2.9], low food security (β: -5.4; 95% CI: -7.6, -3.3), and very low food security (β: -4.4; 95% CI: -7.4, -1.4). Poor diet quality included lower intake frequencies of vegetables, fruits, beans/peas/soy products, nuts/seeds, poultry, fish, low-fat dairy, and liquid oils, and higher intake frequencies of refined grains/baked products, sugar-sweetened beverages, and fried foods. Among postdoctoral trainees, compared with those with high food security, diet quality was significantly lower among those experiencing low food security (β: -5.1; 95% CI: -8.8, -1.4), and very low food security (β: -5.2; 95% CI: -10.2, -0.2). Poor diet quality included lower intake frequencies of dark green leafy vegetables, other fruits, and whole grains.
UNASSIGNED: Graduate students and postdoctoral trainees who experienced degrees of food insecurity reported lower diet quality. These observations underscore the need for policies and interventions to simultaneously reduce food insecurity and improve diet quality.

OBJECTIVE: Food security, and reliable access to nutritious food, is essential for maintaining health yet remains elusive for many, including U.S. patients with breast cancer (BC). Research specifically focusing on public health consequences of food insecurity in BC survivors is limited. We addressed this gap by exploring the relationship between food security and various sociodemographic, clinical, and cancer-related factors among Black BC survivors in Maryland.
METHODS: The parent study engaged Black female BC survivors in Maryland through digital campaigns and referrals, achieving 100 completed surveys. Food security was assessed through an online follow-up survey with the six-item short form from U.S. Department of Agriculture (USDA), leading to a binary classification for analysis from raw scores. Statistical analysis involved descriptive analysis and Chi-square tests to explore the relationship between food security status, various BC risk factors, and follow-up survey response status.
RESULTS: Of the 31 participants who participated in the follow-up survey, 11 (35.5%) were categorized as having low food security. We observed significant associations between food security status and both income (< $40,000; chi-square p = 0.004) and education levels (high school/GED; chi-square p = 0.004). In comparing respondents to non-respondents, significant differences in employment (p = 0.031) and health insurance status (p = 0.006) were observed.
CONCLUSIONS: Our descriptive findings demonstrate the importance of further studies evaluating food security screenings in Black BC survivors to enable targeted interventions aiming to improve overall health outcomes and equity in cancer survivorship care.

Agriculture, a cornerstone of human civilization, faces rising challenges from climate change, resource limitations, and stagnating yields. Precise crop production forecasts are crucial for shaping trade policies, development strategies, and humanitarian initiatives. This study introduces a comprehensive machine learning framework designed to predict crop production. We leverage CMIP5 climate projections under a moderate carbon emission scenario to evaluate the future suitability of agricultural lands and incorporate climatic data, historical agricultural trends, and fertilizer usage to project yield changes. Our integrated approach forecasts significant regional variations in crop production across Southeast Asia by 2028, identifying potential cropland utilization. Specifically, the cropland area in Indonesia, Malaysia, Philippines, and Viet Nam is projected to decline by more than 10% if no action is taken, and there is potential to mitigate that loss. Moreover, rice production is projected to decline by 19% in Viet Nam and 7% in Thailand, while the Philippines may see a 5% increase compared to 2021 levels. Our findings underscore the critical impacts of climate change and human activities on agricultural productivity, offering essential insights for policy-making and fostering international cooperation.

OBJECTIVE: The current research aimed to investigate the connection between food insecurity and sleep issues among Spanish adolescents aged from 12 to 17 years from the Valle de Ricote (Region of Murcia, Spain).
METHODS: Data from the Eating Healthy and Daily Life Activities Study, which included a sample of 836 adolescents (55.3% girls), were analyzed. Food insecurity was evaluated using the Child Food Security Survey Module in Spanish (CFSSM-S), while sleep-related problems were evaluated using the Bedtime problems, Excessive daytime sleepiness, Awakenings during the night, Regularity and duration of sleep, and Sleep-disordered breathing (BEARS) sleep screening tool. Generalized linear models were employed to explore the association between food insecurity and sleep-related issues.
RESULTS: Compared with their counterparts with food security, adolescents with food insecurity had greater probabilities of bedtime problems (24.1%, 95% confidence interval (CI) 16.9% to 33.0%, p = 0.003), excessive daytime sleepiness (36.4%, 95% CI 27.5% to 46.3%, p < 0.001), awakenings during the night (16.7%, 95% CI 10.8% to 25.1%, p = 0.004), and any sleep-related problems (68.1%, 95% CI 57.5% to 77.1%, p < 0.001).
CONCLUSIONS: This study suggests that food insecurity is related to greater sleep-related problems among adolescents. Implementing strategies to mitigate food insecurity may contribute to improved sleep health among adolescents, highlighting the importance of integrated public health interventions.

BACKGROUND: Food insecurity (FI) experienced during pregnancy represents a relevant public health problem, as it negatively affects maternal and child health.
OBJECTIVE: To investigate the prevalence of FI among pregnant women during the COVID-19 pandemic and determine associated factors.
METHODS: A cross-sectional study was carried out in the period from 2021 to 2022, with a representative sample of 423 women resulting from a sample calculation based on the average (2912 births) that occurred in the years 2016 to 2020 in the only maternity hospital in the municipality. After analyzing the medical records, interviews were carried out with the postpartum women using a standardized questionnaire and the Brazilian Food Insecurity Scale. Poisson regression with robust variance was used to calculate prevalence ratios and 95% confidence intervals to measure associations.
RESULTS: FI was observed in 57.0% of cases and was associated with age under 20 years (PR = 1.52; 95% CI 1.29; 1.79), receipt of government assistance (PR = 1.31; 95% CI 1.10; 1.55), loss of family employment (PR = 1.40; 95% CI 1.20; 1.64), greater number of residents (PR = 1.17; 95% CI 1.00; 1.37), and prenatal care in a public institution (PR = 1.53; 95% CI 1.04; 2.26).
CONCLUSIONS: There was a high prevalence of FI cases, associated with socioeconomic, demographic, and prenatal care characteristics during the COVID-19 pandemic.

Introduction: The Hispanic population in the US faces a higher risk of nonalcoholic fatty liver disease (NAFLD). Multiple factors influence this risk, including genetics, environmental factors, and socioeconomic statuses. Inadequate access to nutritious foods, or food insecurity, is prevalent among Hispanic individuals and poses a metabolic risk for both the onset and development of NAFLD. Materials and Methods: We utilized the National Health and Nutrition Examination Survey (NHANES) 2017-2020 pre-pandemic data to analyze the association between Hispanic ethnicity, hepatic steatosis, fibrosis, and food insecurity. Vibration-controlled transient elastography (VCTE) was employed to assess liver stiffness (LSM) and controlled attenuation parameter (CAP) scores to determine fibrosis and steatosis, respectively. Linear and ordinal logistic regression models were applied to their continuous, log-transformed, and categorical forms, adjusting for demographics, metabolic comorbidities, and socioeconomic factors. Models were subsequently stratified based on food security statuses. Results: A total of 7396 Hispanic participants were included in the study. Under multivariable analysis, Hispanic individuals had higher CAP scores (Beta-coefficient: 10.2 dB/m, 95% CI: 6.1-14.4 dB/m, p = 0.001)) vs. non-Hispanic individuals, without statistically significant differences in fibrosis. Food-insecure participants exhibited higher CAP scores than their food-secure counterparts. After stratification, a stronger association between Hispanic ethnicity and CAP scores was evident in the food-insecure group (Beta-coefficient: 11.8 dB/m, 95% CI: 4.4-19.3 dB/m, p = 0.003). Discussion: This study demonstrates the heightened risk of hepatic steatosis among individuals with Hispanic ancestry in the US. The risk is exacerbated by food insecurity, particularly for Hispanic individuals. The contribution is linked to the dietary habits in this population that lead to metabolic risk factors associated with hepatic steatosis. Considering the rising prevalence of NAFLD and food insecurity, interventions focusing on nutritional support and healthcare access among this population could mitigate these burdens.

BACKGROUND: Tuberculosis is a leading cause of death worldwide, and food insecurity is known to negatively influence health outcomes through multiple pathways. Few studies have interrogated the relationship between food insecurity and tuberculosis outcomes, particularly independent of nutrition.
METHODS: We conducted a prospective cohort study of adults initiating first-line treatment for clinically suspected or microbiologically confirmed drug-sensitive tuberculosis at a rural referral center in Haiti. We administered a baseline questionnaire, collected clinical data, and analyzed laboratory samples. We used logistic regression models to estimate the relationship between household food insecurity (Household Hunger Scale) and treatment failure or death. We accounted for exclusion of patients lost to follow-up using inverse probability of censoring weighting and adjusted for measured confounders and nutritional status using inverse probability of treatment weighting.
RESULTS: We enrolled 257 participants (37% female) between May 2020 and March 2023 with a median age (interquartile range) of 35 (25-45) years. Of these, 105 (41%) had no hunger in the household, 104 (40%) had moderate hunger in the household, and 48 (19%) had severe hunger in the household. Eleven participants (4%) died, and 6 (3%) had treatment failure. After adjustment, food insecurity was significantly associated with subsequent treatment failure or death (odds ratio 5.78 [95% confidence interval, 1.20-27.8]; P = .03).
CONCLUSIONS: Household food insecurity at tuberculosis treatment initiation was significantly associated with death or treatment failure after accounting for loss to follow-up, measured confounders, and nutritional status. In addition to the known importance of undernutrition, our findings indicate that food insecurity independently affects tuberculosis treatment outcomes in Haiti.

UNASSIGNED: The onset of the COVID-19 pandemic has disrupted food access, resulting in substantial consequences for food insecurity and contributing to adverse individual and public health outcomes. To comprehensively evaluate these challenges and grasp their implications for food security, this study aimed to evaluate the contributing determinants of food insecurity among rural households in the southwestern region of Bangladesh.
UNASSIGNED: A cross-sectional study was conducted using a validated questionnaire in selected 310 rural household respondents from the southwestern region of Bangladesh.
UNASSIGNED: Household food insecurity status was the outcome variable for the analysis. Multinomial logistic regression analysis was used to explore and predict risk factors correlated with food insecurity among southwestern Bangladeshi households.
UNASSIGNED: We found that 59 % and 27.5 % of households were suffering from moderate food insecurity and severe food insecurity, respectively. The multinomial regression model revealed that respondents residing in Kusthia (RRR = 5.56 CI:2.67-8.4 and RRR = 6.65, CI:3.37-9.22) aged between 30 and 40 years (RRR = 2.32, 95 % CI:1.84-3.77 and RRR = 1.87, 95 % CI:1.48-3.97) and 40-50 years (RRR = 1.86 95 % CI:1.46-3.82 and RRR = 1.95, 95 % CI:1.75-3.26) were significantly associated with mild-to-moderate and severe food insecurity. Respondents with a monthly family income of <58.96 USD (3.38 times and 2.18 times), had ≥5 family members (2.68 times and 1.89 times), and had poor income during the pandemic (4.25 times and 2.75 times) more likely to be moderate and severe food insecure.
UNASSIGNED: The results emphasized that during the COVID-19 lockdown in Bangladesh, rural households faced diverse levels of food insecurity, ranging from moderate to severe. It suggests that efforts to raise awareness and implement support strategies for those at higher risk should not only focus on income but also consider additional factors such as family size, adults aged 30-40 years, and occupation.

This mixed-methods cross-sectional study examines food consumption patterns, dietary diversity, and factors affecting food intake and malnutrition in the rural Mbale District in Eastern Uganda, during both wet and dry seasons. Participants (n = 100; 66% females) completed a food frequency questionnaire identifying foods and beverages consumed in the preceding 12 months. Individual interviews (n = 8) were conducted with key workers. Analysis of seventeen food items revealed seasonal variations in carbohydrate and protein sources. During the dry season, staples like matooke (mashed boiled plantains) and sweet and Irish potatoes were affected, while protein-rich foods such as beans and groundnuts saw increased consumption in the wet season. Fruit and vegetable intake also rose during the wet season. The main causes of malnutrition that emerged from the interviews were the lack of knowledge about food and nutrition, financial struggles, climate impact, and cultural beliefs. The last theme covered strategies to combat malnutrition. Although carbohydrate intake remains consistent throughout seasons due to reliance on posho (maize flour porridge) and cassava, variations in the number of meals and protein sources, particularly beans and groundnuts, were observed. Both of these, being the primary protein sources in rural households\' diets, are highly susceptible to climate fluctuations. This may pose significant implications for food security, as heightened climate instability may impede their production. Solutions to combat malnutrition discussed by the interviewees include education, employment, family planning, and healthcare improvements. Professionals emphasise the need for comprehensive approaches to address these complex issues. In addition, data on food consumption during the dry and wet seasons should be collected as a difference in food consumption during the seasons may become more prominent with the need to implement tailored interventions.