Dataset Information

Food insecurity and associated depression among older adults in India: evidence from a population-based study.

ABSTRACT:

Objective

The present study aimed to examine the associations of several indicators of food insecurity with depression among older adults in India.

Design

A cross-sectional study was conducted using country-representative survey data.

Setting and participants

The present study uses data of the Longitudinal Aging Study in India conducted during 2017-2018. The effective sample size for the present study was 31 464 older adults aged 60 years and above.

Primary and secondary outcome measures

The outcome variable was major depression among older adults. Descriptive statistics along with bivariate analysis was presented. Additionally, binary logistic regression analysis was used to establish the association between the depression and food security factors along with other covariates.

Results

The overall prevalence of major depression was 8.4% among older adults in India. A proportion of 6.3% of the older adults reduced the size of meals, 40% reported that they did not eat enough food of their choice, 5.6% mentioned that they were hungry but did not eat, 4.2% reported that they did not eat for a whole day and 5.6% think that they have lost weight due to lack of enough food in the household. Older adults who reported to have reduced the size of meals due to lack of enough food (adjusted OR (AOR): 1.76, CI 1.44 to 2.15) were hungry but did not eat (AOR: 1.35, CI 1.06 to 1.72) did not eat food for a whole day (AOR: 1.33; CI 1.03 to 1.71), lost weight due to lack of food (AOR: 1.57; CI 1.30 to1.89) had higher odds of being depressed in reference to their respective counterparts.

Conclusion

The findings suggest that self-reported food insecurity indicators were strongly associated with major depression among older Indian adults. The national food security programmes should be enhanced as an effort to improve mental health status and quality of life among older population.

SUBMITTER: T M

PROVIDER: S-EPMC9020306 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Food insecurity and associated depression among older adults in India: evidence from a population-based study.

T Muhammad M Sulaiman K M KM Drishti Drishti D Srivastava Shobhit S

BMJ open 20220419 4

<h4>Objective</h4>The present study aimed to examine the associations of several indicators of food insecurity with depression among older adults in India.<h4>Design</h4>A cross-sectional study was conducted using country-representative survey data.<h4>Setting and participants</h4>The present study uses data of the Longitudinal Aging Study in India conducted during 2017-2018. The effective sample size for the present study was 31 464 older adults aged 60 years and above.<h4>Primary and secondary ...[more]

PMID: 35440447

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Project description:Food insecurity is a major public health problem worldwide. In India, there are limited food insecurity assessment studies using a conventionally accepted method like the Food Insecurity Experience Scale (FIES), developed by the Food and Agricultural Organization (FAO). This study aims to measure food insecurity using the FIES and explore its determinants and association with body mass index (BMI) among Indian adults. METHODS: In a cross-sectional study, we used FIES to measure food security in a sample of 9005 adults residing in North and South India. Using questionnaires, socio-demographic factors, dietary intake and food security data were collected. The dietary diversity scores (FAO-IDDS) and food insecurity scores (FAO-FIES) were calculated. Body size was measured and BMI was calculated. RESULTS: The mean age of the study participants was 52.4 years (± 11.7); half were women and half resided in rural areas. Around 10% of the participants reported having experienced (mild or moderate or severe) food insecurity between October 2018 and February 2019. Dietary diversity (measured by FAO's Individual Dietary Diversity Scores, IDDS) was low and half of the participants consumed ≤ 3 food groups/day. The mean BMI was 24.7 kg/m2. In the multivariate analysis, a lower IDDS and BMI were associated with a higher FIES. The place of residence, gender and wealth index were important determinants of FIES, with those residing in South India, women and those belonging to the poorest wealth index reporting higher food insecurity. Food security is understudied in India. Our study adds important evidence to the literature. Despite having marginal food insecurity, high prevalence of low diet quality, especially among women, is disconcerting. Similar studies at the national level are warranted to determine the food insecurity situation comprehensively in India and plan appropriate policy actions to address it effectively, to attain the key Sustainable Development Goals (SDG).

Project description:BACKGROUND:Food insecurity, defined as inadequate access to food owing to financial constraints, has been associated with poor disease management. Because cost-related nonadherence to prescription drugs is a possible explanation for such association, we examined the link between food insecurity and cost-related medication nonadherence in Canada. METHODS:Drawing on data for adult respondents (age ≥ 18 yr) who participated in the Canadian Community Health Survey 2016 Rapid Response module on prescription medication use, we assessed the association between household food insecurity and cost-related nonadherence to prescription drugs in the previous 12 months. We further examined the self-perceived health consequences of cost-related nonadherence among nonadherents. We applied Poisson models with bootstrap weights adjusting for sociodemographic characteristics. RESULTS:Of the 11 172 respondents in our sample, 930 (8.3%) reported cost-related nonadherence. Food insecurity affected 10.5% (95% confidence interval [CI] 9.1% to 11.8%) of adherents and 47.9% (95% CI 38.1% to 57.7%) of nonadherents. After adjustment for confounders, moderate and severe food insecurity were associated with 3.83 (95% CI 2.44 to 6.03) and 5.05 (95% CI 3.27 to 7.81) times higher prevalence of cost-related nonadherence, respectively, relative to food security. Despite being associated with lower probability of cost-related nonadherence, having drug insurance did not change the relation between food insecurity and cost-related nonadherence (p > 0.1 for all interactions). Severe food insecurity was correlated with higher prevalence of health deterioration and greater use of health care services as perceived consequences of cost-related nonadherence (p < 0.01 for both). INTERPRETATION:Food-insecure adults in Canada have a higher likelihood of cost-related nonadherence to prescription medications than their food-secure counterparts, which may constitute a burden on their health and lead to greater use of health care services.

Dataset Information

Food insecurity and associated depression among older adults in India: evidence from a population-based study.

Objective

Design

Setting and participants

Primary and secondary outcome measures

Results

Conclusion

Publications

Food insecurity and associated depression among older adults in India: evidence from a population-based study.

Similar Datasets

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