Food insecurity partially mediates associations between social disadvantage and body composition among older adults in india: Results from the study on global AGEing and adult health (SAGE)

Food Insecurity, Physical Activity, and Sedentary Behavior in Middle to Older Adults

Purpose: The present study investigates the associations between food insecurity, physical activity, and sedentary behavior in individuals aged 55 years and older from five low- and middle-income countries (LMICs). Methods: The data were provided by 16,454 adults aged 55 and older who participated in the Global Aging and Adult Health Survey. Food insecurity was assessed based on participants' self-reported questionnaire measures. Physical activity and sedentary behavior were assessed using the Global Physical Activity Questionnaire, and adherence to the recommended guidelines was categorized accordingly. We used a multivariable logistic regression model to examine the associations between food insecurity, physical activity, and sedentary behavior, adjusting for demographic and lifestyle factors. Results: The results revealed that food insecurity was significantly associated with a lower likelihood of meeting physical activity (OR = 0.73, 95% CI: 0.64-0.83) and sedentary behavior recommendations (OR = 0.70, 95% CI: 0.59-0.83). Stratified analysis showed that food insecurity had a stronger impact on these behaviors among females than males. Females with food insecurity were less likely to meet all movement behavior recommendations, highlighting gender-specific challenges. Conclusions: The findings showed that food insecurity was significantly associated with lower adherence to both physical activity and sedentary behavior recommendations among middle-aged and older adults in LMICs. In these settings, females with food insecurity showed more consistent and significant associations than males. Future longitudinal studies should be conducted to systematically examine whether an enhancement of food security causes continuous changes in movement behaviors.

Mid- and long-term associations between food insecurity and sarcopenia

BACKGROUND

Sarcopenia is a complex geriatric syndrome characterized by progressive and generalized loss of skeletal muscle mass, muscle strength, and physical performance. Nutritional factors, including food insecurity, have been reported to be important in the development of sarcopenia. However, evidence on the relationship between sarcopenia and food insecurity is limited, especially with longitudinal data.

AIMS

This study aimed to examine the longitudinal association between sarcopenia, severe sarcopenia, and food insecurity in a nationally representative sample of older adults in Mexico.

METHODS

We used data from the four waves (2009, 2014, 2017, 2021) of the World Health Organization Study on Global Ageing and Adult Health in Mexico. The sample consisted of 1,484 older adults aged 50 years or older. Sarcopenia was defined according to the criteria of the European Working Group on Sarcopenia in Older People. Food insecurity was assessed with two questions related to frequency of eating less and hunger due to lack of food in the last 12 months.

RESULTS

Moderate (OR = 1.13; 95%CI: 1.09-1.20) and severe food insecurity (OR = 1.19; 95%CI: 1.11-1.27) significantly increased the longitudinal rates of sarcopenia or severe sarcopenia. Meanwhile, the incidence of severe food insecurity increased the cumulative incidence rate of sarcopenia and severe sarcopenia (OR = 1.91; 95%CI: 1.24-2.94).

DISCUSSION

Since food insecurity is a modifiable structural factor, the implementation of specific programs to alleviate its deleterious consequences is warranted.

CONCLUSIONS

This study shows that moderate and severe food insecurity are associated with an increase in the rates of sarcopenia and severe sarcopenia over time.

Food insecurity and mobility difficulty in middle-aged and older adults: The importance of bio-psychosocial factors

OBJECTIVE

Food insecurity has been associated with mobility difficulty (MD) in old age. However, there is a scarcity of research on this topic from low- and middle-income countries, while the bio-psychological factors underlying this association are largely unknown. We investigated the food insecurity-MD link in Ghana and explored how sleep, anxiety, loneliness, and physical activity (PA) mediate the association.

METHODS

Community-based, representative cross-sectional data from the Aging, Health, Well-being, and Health-seeking Behavior Study were analyzed (N = 1201; Mage = 66.5; women = 63%). MD was assessed with items from the SF-36 of the Medical Outcomes Study. We assessed food insecurity with items on hunger and breakfast-skipping frequency due to lack of food and resources. Adjusted OLS and mediation models via bootstrapping technique evaluated the associations.

RESULTS

Results revealed the expected association between food insecurity and MD, such that greater food insecurity was significantly and positively associated with MD across paths (from β = 0.33 to β = 0.42, p < .001). Analyses of indirect effects showed that sleep problems (27.8%), anxiety (15.5%), loneliness (17.5%), and PA (18.0%) mediated the association between food insecurity and MD. Cross-level interactions revealed that food insecurity significantly modified the link between each mediator and MD.

CONCLUSIONS

Our data provide novel evidence that bio-psychological mechanisms may underlie the food insecurity-MD link and should, therefore, be considered relevant targets for interventions to prevent/manage MD in later life.

Cross-sectional association of food insecurity with loneliness in older adults: The role of sex, age, and psychosomatic factors

OBJECTIVE

Food insecurity (FI) is a critical social determinant of poor psychosocial health. While data on the specific roles of sex and age in the FI-loneliness link among older adults are limited, the underlying mechanisms are largely unknown. This study examines the age-sex-specific associations of FI with loneliness among older adults in Ghana and quantifies the extent to which psychosomatic factors mediate the association.

METHODS

We analyzed cross-sectional data from the Aging, Health, Psychological, and Health-seeking Behavior Study in Ghana. The past 30-day FI was assessed using items on hunger and breakfast skipping frequency due to a lack of resources. We assessed loneliness severity with the University of California, Los Angeles 3-item Loneliness Scale. Multivariable OLS regressions and bootstrapping mediation analysis using the Hayes PROCESS macro plug-in were used to evaluate the associations.

RESULTS

We included 1,201 individuals aged ≥50 years (mean = 62.9 [SD = 11.9]; women = 63.3%). The prevalence of loneliness was 17.7%. The prevalence of moderate and severe FI was 44.0% and 8.5%, respectively. In the adjusted model, greater FI was significantly associated with loneliness severity (B = .22, SE = .029, p < .001). We found significant interactive effects of FI × age (B = -.17, SE = .023, p < .01) and FI × sex (B = -.28, SE = .036, p < .001) on loneliness. Thus, the FI-loneliness link was respectively more marked among women (B = .25, SE = .035, p < .001) and ≥65 age groups (B = .34, SE = .041, p < .001) than men (B = .16, SE = .051, p < .01) and those aged 50-64 (B = .22; SE = .040, p < .001). Finally, comorbid depression/anxiety (41.07%), hopelessness (48.6%), worthlessness (42.1%), functional limitations (8.2%), and pain severity (6.4%) mediated the FI-loneliness association.

CONCLUSIONS

Age- and sex-specific associations between FI and loneliness exist among older Ghanaians. Addressing FI in concert with psychosomatic problems in older adults may contribute meaningfully to reducing loneliness in later life.

Later Life Food Insecurity and Social Isolation in Ghana: The Importance of Psychological Factors

BACKGROUND

Social isolation (SI) and food insecurity (FI) are important social determinants of health that can negatively impact well-being in old age. While research on the association between FI and SI is limited in LMICs, the mediators of this association are largely unknown. This cross-sectional study examined whether FI is associated with SI among older adults in Ghana and whether psychological factors (i.e., depression, anxiety, and sleep problems) mediated the association.

METHODS

Our study consisted of adults aged ≥50 years in the Aging, Health, Well-being, and Health-seeking Behavior Study. SI was assessed with the Berkman-Syme Social Network Index, while FI was assessed with dietary inadequacy-related items. We used an ordinary least squares regression (OLS), logistic regressions, and bootstrapping modeling approach to examine our hypotheses with p < 0.05.

RESULTS

The analysis included 1201 individuals (Mage = 66 [SD = 12], women = 63%). In the full sample (β = 0.21; p < 0.001) and in women (β = 0.30, p < 0.001) but not in men, FI was independently associated with SI. FI was comparably associated with increases in SI for the 50-64 age group (β = 0.21, p < 0.001) and ≥65 age cohort (β = 0.19, p < 0.01). Moreover, FI showed differential associations with specific domains of SI (OR = 1.81 to 1.45, p < 0.001). Finally, the FI-SI association was mediated by depressive symptoms (65.16%), anxiety symptoms (30.16%), and sleep problems (9.50%).

CONCLUSIONS

Our data highlight the fundamental role of FI in SI among older adults, and the effect is explained by psychosocial factors. Interventions targeted toward strengthening interpersonal ties in old age should include addressing FI and older adults' psychosocial outcomes.

Food insecurity and associated health and social determinants among older adults in Ghana: Analysis of the WHO's study on global AGEing and adult health (SAGE), 2014-2015

This study was conducted to assess the prevalence and factors associated with Food Insecurity (FI) and further quantify its association with unmet need for health services and health-related outcomes among older adults aged 50 years and above in Ghana. The Ghana Study on Global AGEing and Adult Health was used. Body Mass Index (BMI), depressive episodes, functional difficulties (FD), low Quality of Life (QoL), memory decline, and Unmet Needs of Health Services (UNHS) are the the study outcomes. Ordinary Least Square, and Poisson regression analysis modified with Mahalanobis distance matching within propensity score caliper weights were employed. Stata 16.1 was used to perform analysis and a p-value < 0.05 was deemed significant. The prevalence of FI among older adults aged 50 years or older in Ghana was approximately 28 %(95 %CI = 24.5-31.7) and was strongly associated with lower educational attainment and social support. The prevalence ratio of depression, FD, low QoL and UNHS among older adults who experienced FI were; 3.43(95 %CI = 2.25-5.21), 1.18(95 %CI = 1.12-1.23), 2.01(95 %CI = 1.54-2.62), and 1.46(95 %CI = 1.01-2.11). Memory significantly decreased by 85 percentage points% among food insecure older adults [aβ(95 %CI) = -0.85(-1.62--0.07)]. Older adults with relatively higher educational attainment and social support are less likely to suffer FI and associated limited health and poor social well-being. In the national quest to achieve SDG 2, these health and social determinants of FI among older adults should be considered in the implementation of the national ageing policy to improve the health and well-being of older adults in Ghana.

Associations between food insecurity and Sleep Duration, Quality, and Disturbance among older adults from six low- and middle-income countries

OBJECTIVES

Although food insecurity has been associated with poor sleep outcomes in young and middle-aged adults, few studies have examined this relationship in older adults. This study aimed to examine the relationship between food insecurity and sleep duration, quality, and disturbance among older adults in six low-income countries (LMICs).

DESIGN AND SETTING

We analyzed nationally representative cross-sectional data from 33,460 adults (≥50 years) from the Study on global AGEing and adult health (SAGE).

MEASUREMENTS

Food insecurity (FI) was assessed using two questions regarding the frequency of eating less and hunger caused by a lack of food. Sleep outcomes included self-reported sleep duration, sleep quality, and sleep disturbances (difficulty falling asleep, frequent sleep interruptions, and early awakening) assessed based on self-reports over two nights. Multivariable logistic regression was used to assess country-specific relationships between food insecurity and sleep outcomes, and random-effects models were used to estimate pooled associations.

RESULTS

The prevalence of FI among older adults in the overall population was 16.2%. In pooled analyses, FI was significantly associated with long sleep duration ≥ 9 h (OR=1.58, 95% CI: 1.30 to 1.93; P=0.001). There were also significant pooled associations between FI and poor sleep quality (OR=1.34, 95% CI: 1.14 to 1.56; P < 0.001) and sleep disturbances (OR=1.44, 95% CI: 1.08 to 1.91; P = 0.014).

CONCLUSIONS

In conclusion, the current study found that FI is adversely associated with sleep duration, quality and disturbances in older adults, with some heterogeneity by country. The findings suggest food policies and intervention programs are needed for vulnerable households.

Food Insecurity Among Older Adults Living in Low- and Middle-Income Countries: A Scoping Review

BACKGROUND AND OBJECTIVES

Food insecurity is considered an increasing public health problem worldwide with adverse effects, especially among older adults. Although the literature related to food insecurity among older adults in low- and middle-income countries (LMIC) are expanding, little is known about existing patterns and knowledge gaps in these settings. This scoping review aims to provide a comprehensive overview of the current research related to food insecurity among older adults in LMIC.

RESEARCH DESIGN AND METHODS

A systematic search was conducted in November 2021 and revised in July 2022 on six databases using terms related to food insecurity and older adults. Data were extracted, and the emerging themes from the main findings were summarized using a social-ecological model (SEM).

RESULTS

Forty-one studies met the inclusion criteria. Almost half (48.8%) were published in the last 2 years and utilized a quantitative approach (n = 38). Only one study was conducted in a low-income country. Using the SEM, most studies included in this review focused on addressing the relationship between food insecurity with intrapersonal factors.

DISCUSSION AND IMPLICATIONS

Several gaps in the current literature were identified. There is a lack of longitudinal and qualitative studies available on this topic. Also, only 15 LMIC were represented in the literature. A critical point in this review is that only a few studies addressed the relationship between food insecurity and the policy/social structure, institutional, community, and interpersonal levels. These identified gaps can serve as a guide for future research on this topic.

Food insecurity and subjective cognitive complaints among adults aged ≥ 65 years from low- and middle-income countries

PURPOSE

To date, no study has investigated the association between food insecurity and subjective cognitive complaints (SCC). Thus, the aims of the present study were to examine this association among older adults in low- and middle-income countries (LMICs), and to identify the potential mediators in this association, given the importance of SCC in dementia risk among older people, and the projected particularly large increase in dementia in this setting.

METHODS

Cross-sectional, community-based, nationally representative data from the World Health Organization (WHO) Study on global AGEing and Adult Health (SAGE) collected between 2007 and 2010 were analyzed. Two questions on subjective memory and learning complaints in the past 30 days were used to create a SCC scale ranging from 0 (No SCC) to 100 (worse SCC). Past 12 month food insecurity was assessed with two questions on frequency of eating less and hunger due to lack of food. Multivariable linear regression and mediation (Karlson-Holm-Breen method) analyses were conducted to assess associations.

RESULTS

Data on 14,585 individuals aged ≥ 65 years [mean (SD) age 72.6 (11.5) years; 55.0% females] were analyzed. Severe food insecurity (vs. no food insecurity) was associated with 9.16 (95% CI = 6.95-11.37) points higher mean SCC score. Sleep/energy (mediated% 37.9%; P < 0.001), perceived stress (37.2%; P = 0.001), and depression (13.7%; P = 0.008) partially explained the association between severe food insecurity and SCC.

CONCLUSION

Food insecurity was associated with SCC among older adults in LMICs. Future studies should assess whether addressing food insecurity among older adults in LMICs can improve cognitive health.

Association between food insecurity and quality of life among older adults (60+) in six low and middle-income countries

Food insecurity is a key social determinant of health and nutrition. However, very few studies have examined the association of food insecurity and quality of life outcomes among older adults in low and middle-income settings. In this study, we examine the association of food insecurity with self-rated poor quality of life, low life satisfaction, and WHO quality of life (WHOQol). Nationally representative data from WHO's Study on global AGEing and adult health (SAGE) consisting of 20,026 older adults were analyzed. The association of food insecurity with self-rated poor quality of life and low life satisfaction was assessed using bivariate and multivariate logistic regression analysis. Multivariate linear regression models examine the association between food insecurity and WHOQol score. Pooled data analysis of six countries showed older adults with severe food insecurity were two times more likely to report poor quality of life (OR = 2.49, CI 2.10, 2.96; p < 0.001) and low life satisfaction (OR = 2.36, CI 1.94, 2.87; p < 0.001), respectively. Similarly, older adults with severe food insecurity had 3.60 (CI-4.25, -2.95; p < 0.001) points lower WHO-QoL score than those who are food secure. These results show that the association of food insecurity is statistically significant with all three outcomes of quality of life in all six countries adjusting for sociodemographic and health measures. Public health and social security interventions are important to prevent food insecurity to promote overall wellbeing of the growing older population in low and middle-income countries.

Food insecurity and its association with health and well-being in middle-aged and older adults in India

AIM

Food insecurity is a global public health concern; however, there is limited knowledge about its health impacts in India. We examined the associations of food insecurity with socioeconomic conditions, chronic disease and various domains of health and well-being in a community sample of middle-aged and older adults (45+ years) in India.

METHODS

Cross-sectional nationally representative data were collected in wave 1 (2017-2018) of the Longitudinal Ageing Study in India. Food insecurity was measured by questions of access and availability of food. We used logistic regression analyses to examine associations of food insecurity with poor self-rated health, limitations in activities of daily living (ADLs), instrumental ADLs, low life satisfaction, depression, sleep problems and low body mass.

RESULTS

Food insecurity related to all seven indicators of poor health and well-being, even after controlling for material wealth and the presence of multimorbidity (which food insecurity also predicted). Associations with mental health were stronger for those for physical health. For instance, food insecurity related to a threefold increase in probable depression (OR=2.9, 95% CI=2.4 to 3.4) and low life satisfaction (OR=3.4, 95% CI=2.9 to 3.8).

CONCLUSIONS

Food insecurity is a powerful social determinant of poor health among older adults in India. Policy measures to improve population health and well-being should closely follow trends in food insecurity, particularly among those living in poverty and with multiple health conditions.

Food insecurity and insomnia-related symptoms among adults from low- and middle-income countries

Little is known about the relationship between food insecurity and sleep problems in low- and middle-income countries, while the mediators of this association are largely unknown. Therefore, we investigated the association between food insecurity and insomnia-related symptoms in six low- and middle-income countries (i.e., China, Ghana, India, Mexico, Russia, South Africa), and the potential mediators of this relationship. Cross-sectional, nationally representative data from the Study on Global AGEing and Adult Health (2007-2010) were analysed. Past 12-month food insecurity was assessed with two questions on the frequency of eating less, and on hunger owing to a lack of food. Insomnia-related symptoms referred to severe or extreme sleep problems in the past 30 days. Multivariable logistic regression and mediation analysis were conducted. Data on 42,489 adults aged ≥18 years were analysed (mean [standard deviation] age 43.8 [14.4] years; 50.1% females). The prevalence of any food insecurity and insomnia-related symptoms was 11.9% and 4.4%, respectively. After adjustment, compared with no food insecurity, moderate (odds ratio = 1.53, 95% confidence interval = 1.11-2.10) and severe food insecurity (odds ratio = 2.35, 95% confidence interval = 1.56-3.55) were significantly associated with insomnia-related symptoms. Anxiety, perceived stress, and depression mediated 27.7%, 13.5%, and 12.5% of the relationship between any food insecurity and insomnia-related symptoms, respectively (total percentage = 43.3%). Food insecurity was positively associated with insomnia-related symptoms in adults from six low- and middle-income countries. Anxiety, perceived stress, and depression explained a substantial proportion of this relationship. Addressing food insecurity itself or the identified potential mediators among people with food insecurity may lead to a reduction in sleep problems among adults in low- and middle-income countries, pending confirmation with longitudinal studies.

Food insecurity and physical multimorbidity among adults aged ≥ 50 years from six low- and middle-income countries

PURPOSE

Food insecurity and multimoribidity (i.e., ≥ 2 chronic conditions) may be linked bidirectionally, but there are no studies on this topic from LMICs. Therefore, the aim of the present study was to examine the association between food insecurity and physical multimorbidity in a large representative sample of older adults from six LMICs.

METHODS

Cross-sectional, community-based data on adults aged ≥ 50 years from the World Health Organization's Study on Global AGEing and Adult Health (SAGE) conducted in China, Ghana, India, Mexico, Russia, and South Africa were analyzed. A total of 11 chronic physical conditions were assessed. Past 12 month food insecurity was assessed with two questions on frequency of eating less and hunger due to lack of food. Multivariable logistic regression analysis was conducted to assess the associations.

RESULTS

Data on 34,129 adults aged ≥ 50 years [mean (SD) age 62.4 (16.0) years; age range 50-114 years; 47.9% males] were analyzed. After adjustment for potential confounders, in the overall sample, compared to being food secure, moderate and severe food insecurity were associated with 1.29 (95% CI 1.06-1.56) and 1.56 (95% CI 1.13-2.16) times higher odds for multimorbidity, respectively CONCLUSION: Food insecurity was associated with greater odds for multimorbidity in older adults from LMICs. Addressing food insecurity in the general population may reduce risk for multimorbidity, while screening for food insecurity and addressing it among those with multimorbidity may lead to better clinical outcomes, pending future longitudinal research.

Food insecurity and health outcomes among community-dwelling middle-aged and older adults in India

The study assessed associations between food insecurity and mental, physical, and behavioural health outcomes in India. The study analysed national cross-sectional population-based data (N = 72,262;  ≥ 45 years) from in India in 2017-2018. The overall prevalence of food insecurity was 9.7%. Food insecurity was significantly positively associated with poor mental health [low life satisfaction (AOR: 2.75, 95% CI 2.35-3.23), low self-reported health (AOR: 1.61, 95% CI 1.11-1.42), insomnia symptoms (AOR: 1.64, 95% CI 1.45-1.85), depressive symptoms (AOR: 2.21, 95% CI 1.97-2.48), major depressive disorder (AOR: 2.37, 95% CI 2.03-2.77), Alzheimer's/dementia (AOR: 1.75, 95% CI 1.13-2.69), and poorer cognitive functioning (AOR: 0.68, 95% CI 0.49-0.93)], poor physical health [bone or joint disease (AOR: 1.18, 95% CI 1.04-1.34), angina (AOR: 1.80, 95% CI 1.58-2.06), underweight (AOR: 1.28, 95% CI 1.16-1.40), chronic lung disease (AOR: 1.22, 95% CI 1.03-1.45), and functional disability (AOR: 1.68, 95% CI 1.47-1.92)], and health risk behaviour [tobacco use (AOR: 1.13, 95% CI 1.01-1.25), heavy episodic drinking (AOR: 1.45, 95% CI 1.10-1.91) and physical inactivity (AOR: 1.42, 95% CI 1.21-1.67)]. Furthermore, food insecurity was negatively associated with overweight/obesity (AOR: 0.80, 95% CI 0.73-0.88). Food insecurity was associated with seven poor mental health indicators, five poor physical health conditions, and three health risk behaviours. Programmes and policies that improve food availability may help improve mental and physical health among middle-aged and older adults in India.

Food Insecurity in an Urban Pregnancy Cohort

OBJECTIVE

Food insecurity is a prominent problem and has been implicated in adverse maternal and neonatal outcomes. This study aims to describe the food insecure population in an urban academic health center perinatal cohort.

STUDY DESIGN

We enrolled 451 postpartum inpatients at the University of Cincinnati Medical Center who completed a questionnaire and were then categorized as food insecure based on U.S. Department of Agriculture standardized survey questions. Generalized linear models estimated the relative influence of maternal characteristics on food insecurity.

RESULTS

Among the study population (n = 426), 18.6% (95% confidence interval: 15.2-22.4%) were classified as food insecure. Factors with increased adjusted relative risk on food insecurity include annual household income <$40,000, obesity, and smoking. Food insecure women also reported lower levels of love, satisfaction, and joy, and higher levels of despair.

CONCLUSION

We recommend the use of a validated screening tool on all pregnant women with the associated psychosocial stressors and social determinants of health.

KEY POINTS

· Food insecurity is prevalent among pregnant women.. · Nearly one in five women (18.6%) in the study cohort were classified as food insecure.. · Food insecure pregnant women were more likely to have additional risks for adverse health outcomes..

Toolkit article: Approaches to measuring social inequities in health in human biology research

Across populations, human morbidity and mortality risks generally follow clear gradients, with socially-disadvantaged individuals and groups tending to have higher morbidity and mortality at all life stages relative to those more socially advantaged. Anthropologists specialize in understanding the proximate and ultimate factors that shape variation in human biological functioning and health and are therefore well-situated to explore the relationships between social position and health in diverse ecological and cultural contexts. While human biologists have developed sophisticated methods for assessing health using minimally-invasive methods, at a disciplinary level, we have room for conceptual and methodological improvement in how we frame, measure, and analyze the social inequities that might shape health inequities. This toolkit paper elaborates on some steps human biologists should take to enhance the quality of our research on health inequities. Specifically, we address: (1) how to frame unequal health outcomes (i.e., inequalities vs. disparities vs. inequities) and the importance of identifying our conceptual models of how these inequities emerge; (2) how to measure various axes of social inequities across diverse cultural contexts, and (3) approaches to community collaboration and dissemination. We end by discussing (4) future directions in human biology research of health inequities, including understanding the ultimate causes of sensitivity to social inequities and transitioning from research to action.

Association between food insecurity and perceived stress among older adults (50+) in six low- and middle-income countries

OBJECTIVES

In this study, we assess the relationship between food insecurity andperceived stress among older adults (50+) in six low- and middle-income countries of China, Ghana, India, Mexico, Russia and, South Africa.

METHODS

Cross-sectional comparative analysis was conducted using nationally representative data from the WHO's Study on global AGEing and adult health survey. Bivariate and multivariate regression analyses examine if food insecurity was associated with perceived stress. We also examined the mediating role of health conditions on the association between food insecurity and perceived stress.

RESULTS

Across countries, the mean perceived stress score was higher among the older population with food insecurity. Regression analysis showed significant and positive association between food insecurity and perceived stress. Findings from the pooled data of six countries showed, older adults who experienced severe food insecurity (β = 4.05, p < .001) had higher perceived stress scores. The association was statistically significant in India, Russia, South Africa, and Ghana.

CONCLUSION

Food insecurity showed significant adverse impact on perceived stress among the older population in low- and middle-income countries. Policy measures to reduce household food insecurity are important for improving both mental and physical health conditions of the growing older population in low- and middle-income countries.

Association of food insecurity with suicidal ideation and suicide attempts in adults aged ≥50 years from low- and middle-income countries

BACKGROUND

The aim of the present study was to investigate associations between food insecurity with suicidal ideation and suicide attempts in adults aged ≥50 years from six low- and middle-income countries (LMICs).

METHODS

Cross-sectional, community-based data from the World Health Organisation's Study on Global Aging and Adult Health were analyzed. Self-reported information on past 12-month suicidal ideation and suicide attempts was collected. Past 12-month food insecurity was assessed with two questions on frequency of eating less and hunger due to lack of food. Multivariable logistic regression analysis was conducted to assess the association between food insecurity and suicidal ideation or suicide attempts.

RESULTS

The final analytical sample included 34,129 individuals aged ≥50 years [mean (SD) age 62.4 (16.0) years; 52.1% females]. Compared to no food insecurity, severe food insecurity was associated with a significant 2.78 (95%CI = 1.73-4.45) times higher odds for suicidal ideation, while moderate and severe food insecurity were associated with 2.59 (95%CI = 1.35-4.97) and 5.15 (95%CI = 2.52-10.53) times higher odds for suicide attempts, respectively.

LIMITATIONS

The cross-sectional design, the use of self-reported wish to die as a measure of suicide ideation, and that suicidal ideation and suicide attempts were only assessed among those who had depressive symptoms, could be considered limitations of our study.

CONCLUSIONS

Food insecurity was positively associated with suicidal ideation and suicide attempts. Targeting food insecurity among older adults in LMICs may lead to reduction in suicidal ideation and suicide attempts, although future longitudinal studies are warranted to confirm this.

Physical multimorbidity and depression: A mediation analysis of influential factors among 34,129 adults aged ≥50 years from low- and middle-income countries

BACKGROUND

There is a scarcity of literature on the association between physical multimorbidity (i.e., ≥2 chronic physical conditions) and depression among older adults, especially from low- and middle-income countries (LMICs). In addition, the mediators in this association are largely unknown. Therefore, we aimed to examine this association among adults aged ≥50 years from six LMICs (China, Ghana, India, Mexico, Russia, and South Africa), and to identify potential mediators.

METHODS

Cross-sectional, nationally representative data from the Study on Global Ageing and Adult Health were analyzed. Depression was defined as past-12 months DSM-IV depression or receiving depression treatment in the last 12 months. Information on 11 chronic physical conditions were obtained. Multivariable logistic regression and mediation analyses were conducted.

RESULTS

Data on 34,129 individuals aged ≥50 years were analyzed [mean (SD) age 62.4 (16.0) years; maximum 114 years; 52.1% females]. Compared to no chronic conditions, 2, 3, 4, and ≥5 chronic conditions were associated with 2.55 (95% CI = 1.90-3.42), 3.12 (95% CI = 2.25-4.34), 5.68 (95% CI = 4.02-8.03), and 8.39 (95% CI = 5.87-12.00) times higher odds for depression. Pain/discomfort (% mediated 39.0%), sleep/energy (33.2%), mobility (27.5%), cognition (13.8%), perceived stress (7.3%), disability (6.7%), loneliness (5.5%), and food insecurity (1.5%) were found to be significant mediators in the association between physical multimorbidity and depression.

CONCLUSIONS

Older adults with physical multimorbidity are at increased odds of depression in LMICs. Future studies should assess whether addressing the identified potential mediators in people with physical multimorbidity can lead to reduction in depression in this population.

Sociodemographic disparities and contextual factors in obesity: updated evidence from a National Survey of Risk Factors for Chronic Diseases

OBJECTIVE

To assess the association of sociodemographic and environmental factors with the obesity occurrence in Argentina from a sex- and age-comparative perspective and a multilevel approach.

DESIGN

Cross-sectional study based on secondary data from the National Survey of Chronic Diseases Risk Factors (CDRF) 2018, Argentina. Two-level logistic regression models stratified by sex and age were used.

SETTING

The nationwide probabilistic sample of the CDRF survey and twenty-four geographical units.

PARTICIPANTS

16 410 adult people, living in Argentine towns of at least 5000 people, nested into 24 geographical units. Sex and age groups were defined as young (aged 18-44 years), middle-aged (45-64 years) and older (65 years and older) men and women.

RESULTS

Single men (all age groups) and divorced/widowed men (aged 45 years or older) had a lower obesity risk compared to married ones. In the middle-aged group, men with higher education showed a lower risk than men with incomplete primary education. In young women, a marked social gradient by educational level was observed. A low-income level coupled with highly urbanised contexts represents an unfavourable scenario for young and middle-aged women. Having a multi-person household was a risk factor for obesity (OR = 1·26, P = 0·038) in middle-aged women. Contextual factors linked to the availability of socially constructed recreational resources and green spaces were associated with obesity among young adults.

CONCLUSIONS

Socio-environmental determinants of obesity seem to operate differently according to sex and age in Argentina. This entails the need to address the obesity epidemic considering gender inequalities and the socio-environmental context at each stage of life.

Association between Food Insecurity and Sarcopenia among Adults Aged ≥65 Years in Low- and Middle-Income Countries

Limited literature has investigated the association between food insecurity and sarcopenia in low- and middle-income countries (LMICs). Therefore, the aim of the present study was to investigate the association between food insecurity and sarcopenia among adults aged ≥65 years in six LMICs. Community-based cross-sectional data of the Study on Global Ageing and Adult Health were analyzed. Sarcopenia was defined as the presence of low skeletal muscle mass based on indirect population formula, and either slow gait or low handgrip strength. In the past, 12-month food insecurity was assessed with two questions on frequency of eating less and hunger due to lack of food. Multivariable logistic regression analysis was conducted. The final sample consisted of 14,585 individuals aged ≥65 years (mean (SD) age 72.6 (11.5) years; 55.0% females). The prevalence of sarcopenia among those with no food insecurity was 13.0% but this increased to 24.4% among those with severe food insecurity. After adjustment for potential confounders, compared to no food insecurity, severe food insecurity was associated with 2.05 (95%CI = 1.12-3.73) times higher odds for sarcopenia. In this large representative sample of older adults from multiple LMICs, it was found that severe food insecurity is associated with higher odds for sarcopenia. Addressing food insecurity in such settings may be an effective strategy to curb the high prevalence of sarcopenia in LMICs.

Association between food insecurity and fall-related injury among adults aged ≥65 years in low- and middle-income countries: The role of mental health conditions

PURPOSE

We investigated the association between food insecurity and fall-related injury among older adults from six low- and middle-income countries (LMICs), and the extent to which this association is mediated by mental health.

METHODS

Cross-sectional, community-based, nationally representative data from the WHO Study on global AGEing and adult health (SAGE) were analyzed. Past 12-month food insecurity was assessed with two questions on frequency of eating less and hunger due to lack of food. Fall-related injury referred to those that occurred in the past 12 months. Multivariable logistic regression analysis and mediation analysis were conducted to assess associations.

RESULTS

Data on 14,585 adults aged ≥65 years [mean (SD) age 72.5 (11.5) years; 54.9% females] were analyzed. After adjustment for potential confounders, severe food insecurity (versus no food insecurity) was associated with 1.95 (95%CI = 1.11-3.41) times higher odds for fall-related injury. Moderate food insecurity was not significantly associated with fall-related injury (OR = 1.34; 95%CI = 0.81-2.25). The mediation analysis showed that 37.3%, 21.8%, 17.7%, and 14.0% of the association between severe food insecurity and fall-related injury was explained by anxiety, sleep problems, depression, and cognition, respectively.

CONCLUSION

Severe food insecurity was associated with higher odds for injurious falls among older adults in LMICs, and a large proportion of this association may be explained by mental health complications. Interventions to improve mental health among those who are food insecure and a strong focus on societal and government efforts to reduce food insecurity may contribute to a decrease in injurious falls.

Association between food insecurity and depression among older adults from low- and middle-income countries

BACKGROUND

To examine the association between self-reported food insecurity and depression in 34,129 individuals aged ≥50 years from six low- and middle-income countries (LMICs) (China, Ghana, India, Mexico, Russia, and South Africa).

METHODS

Cross-sectional, community-based, nationally representative data from the WHO Study on global AGEing and adult health (SAGE) were analyzed. Self-reported past 12-month food insecurity was assessed with two questions on frequency of eating less and hunger due to lack of food. Questions based on the World Mental Health Survey version of the Composite International Diagnostic Interview were used for the endorsement of past 12-month DSM-IV depression. Multivariable logistic regression analysis and meta-analysis were conducted to assess associations.

RESULTS

In total, 34,129 individuals aged ≥50 years [mean (SD) age, 62.4 (16.0) years; 52.1% females] were included in the analysis. Overall, the prevalence of moderate and severe food insecurity was 6.7% and 5.1%, respectively, while the prevalence of depression was 6.0%. Meta-analyses based on countrywise estimates showed that overall, moderate food insecurity (vs. no food insecurity) is associated with a nonsignificant 1.69 (95% confidence interval [CI] = 0.82-3.48) times higher odds for depression, while severe food insecurity is significantly associated with 2.43 (95% CI = 1.65-3.57) times higher odds for depression.

CONCLUSIONS

In this large representative sample of older adults from six LMICs, those with severe food insecurity were over two times more likely to suffer from depression (compared with no food insecurity). Utilizing lay health counselors and psychological interventions may be effective mechanisms to reduce depression among food-insecure populations. Interventions to address food insecurity (e.g., supplemental nutrition programs) may reduce depression at the population level but future longitudinal studies are warranted.

Inflammation and central adiposity as mediators of depression and uncontrolled diabetes in the study on global AGEing and adult health (SAGE)

OBJECTIVES

Diabetes and depression are commonly present in the same individuals, suggesting the possibility of underlying shared physiological processes. Inflammation, as assessed with the biomarker C-reactive protein (CRP), has not consistently explained the observed relationship between diabetes and depression, although both are associated with inflammation and share proposed inflammatory mechanisms. Central adiposity has also been associated with both conditions, potentially by causing increased inflammation. This study uses the World Health Organization's Study on global AGEing and adult health (SAGE) Mexico Wave 1 biomarker data (n = 1831) to evaluate if inflammation and central adiposity mediate the relationship between depression and diabetes.

METHODS

Depression was estimated using a behavior-based diagnostic algorithm, inflammation using venous dried blood spot (DBS) CRP, central adiposity using waist-to-height ratio (WHtR), and uncontrolled diabetes using venous DBS-glycated hemoglobin (HbA1c).

RESULTS

The association between depression and uncontrolled diabetes was partially mediated by CRP before but not after WHtR was considered. When WHtR was added to the model, it partially mediated the relationship between diabetes and depression while fully mediating the relationship between depression and CRP.

CONCLUSIONS

These findings suggest that central adiposity may be a more significant mediator between diabetes and depression than inflammation and account for the relationship between these disorders and inflammation. Depression may cause an increase in central adiposity, which then may lead to diabetes, but the increase in known systemic inflammatory pathways caused by central adiposity may not be the key pathological mechanism.

Food Insecurity Is Associated with Mild Cognitive Impairment among Middle-Aged and Older Adults in South Africa: Findings from a Nationally Representative Survey

There are no studies on the association between food insecurity and mild cognitive impairment (MCI). Thus, cross-sectional, community-based data on individuals aged ≥50 years from the World Health Organization’s Study on Global AGEing and Adult Health (SAGE) conducted in South Africa (2007–2008) were analyzed to assess this association. The definition of MCI was based on the National Institute on Ageing-Alzheimer’s Association criteria. Past 12-month food insecurity was assessed with two questions on frequency of eating less and hunger due to lack of food. Multivariable logistic regression analysis was conducted. The sample consisted of 3,672 individuals aged ≥50 years [mean (SD) age 61.4 (18.3); 56% females]. The prevalence of MCI was 8.5%, while 11.0% and 20.8% experienced moderate and severe food insecurity, respectively. After adjustment for potential confounders, moderate and severe food insecurity were associated with 2.82 (95%CI = 1.65–4.84) and 2.51 (95%CI = 1.63–3.87) times higher odds for MCI compared with no food insecurity, respectively. The OR for those aged ≥65 years with severe food insecurity was particularly high (OR = 3.87; 95%CI = 2.20–6.81). In conclusion, food insecurity was strongly associated with MCI among South African older adults. Future longitudinal research is required to assess whether addressing food insecurity may reduce risk of MCI and subsequent dementia.

Secondary data analysis to answer questions in human biology

Despite a growing number of publicly available datasets, the use of these datasets for secondary analyses in human biology is less common compared with other fields. Secondary analysis of existing data offers an opportunity for human biologists to ask unique questions through an evolutionary and biocultural lens, allowing for an analysis of cultural and structural nuances that affect health. Leveraging publicly available datasets for human biology research is a way for students and established researchers to complement their data collection, use existing data for master's and doctoral theses, pilot test questions, and use existing data to answer interesting new questions or explore questions at the population level. Here we describe where publicly available data are stored, highlighting some data repositories and how to access them. We then discuss how to decide which dataset is right, depending on the research question. Next, we describe steps to construct datasets, analytical considerations and methodological challenges, best practices, and limitations depending on the structure of the study. We close by highlighting a number of publicly available datasets that have been used by human biologists and other datasets that may be of interest to the community, including research that has been conducted on some example datasets.

Socioeconomic patterns of underweight and its association with self-rated health, cognition and quality of life among older adults in India

BACKGROUND

Underweight defined as body mass index (BMI) < 18.5 is associated with negative health and quality of life outcomes including mortality. Yet, little is known about the socioeconomic differentials in underweight and its association with health and well-being among older adults in India. This study examined the socioeconomic differentials in underweight among respondents aged ≥50 in India. Consequently, three outcomes of the association of underweight were studied. These are poor self-rated health, cognition and quality of life.

METHODS

Cross-sectional data on 6,372 older adults derived from the first wave of the WHO's Study on global AGEing and adult health (SAGE), a nationally representative survey conducted in six states of India during 2007-8, were used. Bivariate and multivariate regression analyses were applied to fulfil the objectives.

RESULTS

The overall prevalence of underweight was 38 percent in the study population. Further, socioeconomic status showed a significant and negative association with underweight. The association of underweight with poor self-rated health (OR = 1.60; p < .001), cognition (β = -0.95; p < .001) and quality of life (β = -1.90; p < .001) were remained statistically significant after adjusting for age, sex, place of residence, marital status, years of schooling, wealth quintile, sleep problems, chronic diseases, low back pain and state/province.

CONCLUSION

The results indicated significant socioeconomic differentials in underweight and its association with poor self-rated health, cognition and quality of life outcomes. Interventions focussing on underweight older adults are important to enhance the overall wellbeing of the growing older population in India.