Gender differences in the association of obesity-related measures with multi-morbidity among older adults in India: evidence from LASI, Wave-1

Body mass index and multimorbidity risk: A systematic review and dose-response meta-analysis

OBJECTIVE

To verify the dose-response relationship between body mass index (BMI) and multimorbidity risk.

METHODS

PubMed, CINAHL, and Embase were systematically studied until January 25, 2023. Original articles on BMI and multimorbidity risk were included. Random effects model and dose-response meta-analysis were used to estimate the pooled odds ratio (OR) with 95 % confidence interval (CI). Subgroup analysis was performed to explore potential heterogeneity.

RESULTS

A total of 43 studies involving 969,130 patients (94,978 with multimorbidity) were involved in the meta-analysis. In the longitudinal studies, the pooled results showed that, compared to being a normal BMI, being overweight was much similar with 1.32 times possibility of getting multimorbidity; in persons with obesity the risk was 1.93 times higher; and the risk decreased 0.80 times among underweight persons. Additionally, obesity was 1.75 times as likely to be multimorbidity than those non-obese persons. In the cross-sectional studies, the pooled results demonstrated that persons with overweight and obesity had a 1.38-fold and 2.38-fold risk for multimorbidity, respectively; and the risk decreased 0.90 times among underweight persons compared to those with normal BMI. Besides, obese people are 1.89 times more likely to have multimorbidity than non-obese people. Dose response analysis found the linear connection between BMI and multimorbidity risk (Pnon-linearity=0.762), that for each 1 kg/m2 and 5 kg/m2 increase in BMI, the multimorbidity risk increased by 6 % and 35 %, respectively.

CONCLUSIONS

Multimorbidity increased linearly with an increase in BMI. Clinicians should pay attention to persons with abnormal weight, to help them achieve normal BMI.

Obesity in U.S. low-income veterans:Prevalence, clinical characteristics, and homelessness

OBJECTIVE

Obesity is associated with lower socioeconomic status. To date, however, scarce research has examined the prevalence, comorbidity, and incremental burden of obesity in relation to medical, psychiatric, functional, and homelessness measures among low-income veterans.

METHODS

A nationally representative sample of 1004 low-income U.S. veterans was examined. Bivariate and multivariable analyses were conducted to assess relationships between obesity and medical and psychiatric comorbidities, functioning, and homelessness measures.

RESULTS

The prevalence estimate of obesity among low-income U.S. veterans was 38.2% (confidence interval (CI): 34.2; 42.2), which is higher than previously reported for the general U.S. veteran population. It was particularly high among young, females with children. Obesity was associated with co-occurring medical (chronic pain, diabetes, sleep disorders, high blood pressure, heart disease) and psychiatric (trauma- and anxiety-related) conditions, poor functioning, and current psychiatric medication use. Veterans with obesity were less likely to have current savings and more likely to have current debt. They also were more likely to have experienced evictions and foreclosures and less likely to use active coping or positive reframing as a means of dealing with stressful situations.

CONCLUSION

The prevalence of obesity among U.S. veterans is high. Specific demographic groups particularly vulnerable to developing obesity warrant targeted interventions. Modifying weight management programs, understanding coping styles, and assessing, monitoring, and treating obesity in low-income veterans may help improve overall health and quality of life in multiple domains.

Prevalence and Correlates of Malnutrition in Nuh District, Haryana State, India

India has a substantial burden of undernutrition coupled with overweight and obesity at the other end of the spectrum of malnutrition. Nuh district, in the Haryana State in northern India, is an impoverished district in India. With an aim to investigate the problem of malnutrition in the community, a cross-sectional study was conducted in four villages of the Nuh district. Height/length, weight, and age data of children under 5 years were used to calculate three indices: weight-for-age, height-for-age, and weight-for-height. The body mass index was calculated for individuals older than 6 years. Associations between malnutrition and other factors were assessed using simple and multiple logistic regression to get adjusted coefficients. The total surveyed population comprised 11,496 individuals. Over 51% were female, and 13.2% of the surveyed population were children under 5 years. Almost half of the population was illiterate and unemployed. The prevalences of underweight, stunting, and wasting in children under 5 years were 37%, 53%, and 21%, respectively. The prevalences of underweight and stunting in the 6- to 19-year-old age group were 29% and 38%, respectively. The prevalence of overweight was 36% in the 20- to 40-year-old and > 60-year-old age groups, and 44% in the 41- to 60-year-old age group. Our findings reveal a considerable burden of undernutrition among children under 5 years and a dual burden of undernutrition and overnutrition in adults, highlighting the need to map these areas and sharpen our responses to mitigate the overwhelming and long-term consequences of malnutrition in the Nuh district.

Interaction between depressive symptoms and obesity-related anthropometric measures on multimorbidity among community-dwelling older adults: evidence from India

BACKGROUND

This study aimed to examine the associations between depressive symptoms, body mass index (BMI), waist circumference, waist-hip ratio and multimorbidity among community-dwelling older adults. We also examine the interaction effects between depressive symptoms, BMI, waist circumference and waist-hip ratio on multimorbidity among older adults in India.

METHODS

A cross-sectional study was conducted, and the data were obtained from the Longitudinal Ageing Study in India (LASI) wave-1, with a sample of 31,464 older adults aged 60 years and above (men-15,098 and women-16,366). We used multinomial logistic regression to explore the independent associations between depressive symptoms, obesity-measures, and single and multimorbidity. We also estimated the interaction effects of depressive symptoms and obesity-measures on multimorbidity.

RESULTS

The prevalence of multimorbidity was higher among individuals with depressive symptoms (39.22%) than individuals with no depressive symptoms (29.94%). Adjusted models indicated that older adults with depressive symptoms had higher odds of single and multimorbidity [(AOR = 1.40, 95% CI: 1.17-1.68) and (AOR = 1.85, 95% CI: 1.58-2.16), respectively]. Similarly, in comparison to the normal BMI category, overweight and obese older adults were more likely to report single morbidity [(AOR = 1.62, 95% CI: 1.37-1.92 and (AOR = 2.14, 95% CI: 1.67-2.75), respectively] and multimorbidity [(AOR = 2.00, 95% CI: 1.72-2.33) and (AOR = 3.77, 95% CI: 2.94-4.82), respectively].

CONCLUSION

The findings revealed that the presence of depressive symptoms, overweight or obesity, and high-risk anthropometric measures such as high-risk waist circumference and high-risk waist to hip ratio significantly increased the risk of morbidity among older adults in India. Thus, it is suggested to adopt an integrated public health policy approach to control depressive symptoms and high-risk body composition to strategically prepare against the elevated risk of multimorbidity among ageing populations.

Risk factors of multimorbidity among older adults in India: A systematic review and meta-analysis

Background

Multimorbidity among older adults is a growing concern in India. Multimorbidity is defined as the coexistence of two or more chronic health conditions in an individual. Primary studies have been conducted on risk factors of multimorbidity in India, but no systematic review has been conducted on this topic. This systematic review aimed to synthesize the existing evidence on risk factors of multimorbidity among older adults in India.

Methods

The JBI and Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines were followed. Several databases were searched for published and unpublished studies until August 03, 2022. The screening of titles and abstracts and full texts, data extraction, and quality assessment were conducted by two independent reviewers. Any disagreements were resolved through discussion or by involving a third reviewer. Data synthesis was conducted using narrative synthesis and random effects meta-analysis, where appropriate.

Results

Out of 8781 records identified from the literature search, 16 and 15 studies were included in the systematic review and meta-analysis, respectively. All included studies were cross-sectional, and 10 met a critical appraisal score of more than 70%. Broadly, sociodemographic, lifestyle, and health conditions-related factors were explored in these studies. The pooled odds of multimorbidity were higher in people aged ≥70 years compared to 60-69 years (odds ratio (OR) 1.51; 95% confidence interval (CI) 1.20-1.91), females compared to males (1.38; 1.09-1.75), single, divorced, separated, and widowed compared to married (1.29; 1.11-1.49), economically dependent compared to economically independent (1.54; 1.21-1.97), and smokers compared to non-smokers (1.33; 1.16-1.52) and were lower in working compared to not working (0.51; 0.36-0.72).

Conclusion

This systematic review and meta-analysis provided a comprehensive picture of the problem by synthesizing the existing evidence on risk factors of multimorbidity among older adults in India. These synthesized sociodemographic and lifestyle factors should be taken into consideration when developing health interventions for addressing multimorbidity among older adults in India.

Finding a Link between Obesity and Senescence: A Systematic Review and Meta-Analysis

Background

Cell aging is associated with changes in telomeres due to DNA damage arising from chronic inflammation in obese patients. The aim of the systematic review and meta-analysis was to find the relationship between obesity and aging or senescence.

Methods

The systematic review was conducted through PRISMA guideline, beginning with literature search within 2012-2022 in several databases (PubMed, EBSCOHost, Science Direct, Scopus, and Cochrane) followed by screening process using predetermined PICO criteria. Original studies on the topic of obesity and senescence (aging), from preclinical studies to clinical research (cohort or cross-sectional studies) that were published within the last ten years. All studies were appraised using SYRCLE risk of bias tool for preclinical studies and Newcastle-Ottawa Scale (NOS) for cross-sectional and cohort studies. The data extraction on the studies' characteristic and outcome on aging or senescence were followed by quantitative analysis using MetaXL process on prevalence ratio and hazard ratio of obesity to comorbidities and mortality.

Results

Fifteen studies were enrolled. Obesity and white adipose tissue cause increased levels of pro-inflammatory and pro-senescence cytokine and macrophage whilst the aging process lowers metabolism with increased insulin resistance and linked to increased risk of obesity. Obesity occurs in 22% (95% CI 18%-26%) of elderly population with higher prevalence rate in the women population. Obesity is associated with significant increased risk of multimorbidity by 56% (OR = 1.58 [95% CI 1.48-1.96]).

Conclusion

The obesity and aging or senescence has reciprocal relationship between each other.

Prevalence and Trends of Slow Gait Speed in the United States

Gait speed is a simple, effective indicator of age-related disease and disability. We sought to examine the prevalence and trends of slow gait speed in older Americans. Our unweighted analytic sample included 12,427 adults aged ≥ 65 years from the 2006-2016 waves of the Health and Retirement Study. Gait speed was measured in participant residences. Persons with gait speed < 0.8 or <0.6 m/s were slow. Sample weights were used to generate nationally representative estimates. The overall estimated prevalence of slow gait speed with the <0.8 m/s cut-point was 48.6% (95% confidence interval (CI): 47.4-49.8) in the 2006-2008 waves yet was 45.7% (CI: 44.3-47.1) in the 2014-2016 waves, but this downward trend was not statistically significant (p = 0.06). The estimated prevalence of slowness with the <0.6 m/s cut-point was 21.3% (CI: 20.4-22.3) for the 2006-2008 waves, 18.5% (CI: 17.5-19.4) for the 2010-2012 waves, and 19.2% (CI: 18.2-20.2) for the 2014-2016 waves, but there were again no significant trends (p = 0.61). Our findings showed that the estimated prevalence of slow gait speed in older Americans is pronounced, and different cut-points largely inform how slowness is categorized. Continued surveillance of slowness over time will help guide screening for disablement and identify sub-populations at greatest risk for targeted interventions.

Explaining gender inequalities in overweight people: a Blinder-Oaxaca decomposition analysis in northern Sweden

BACKGROUND

Being overweight and obesity are considered serious public health concerns worldwide. At the population level, factors contributing to overweight as well as the differences in overweight between men and women in terms of prevalence or associated factors are relatively well-known. What is less known is what explains the inequalities in overweight between men and women. In this study, we examined the contribution of material, behavioural, and psychosocial factors in explaining the gender differences in overweight among adults in northern Sweden.

METHODS

This study was based on the 2018 Swedish Health on Equal Terms survey, which was carried out in Sweden's four northernmost regions. The analytical sample consisted of 20,855 participants (47% men) aged 20-84 years. Overweight (including obesity) was the outcome, and the selected explanatory variables were grouped according to three theoretical perspectives: material, behavioural and psychosocial. Descriptive statistics and Blinder-Oaxaca decomposition were applied for analysing the data.

RESULTS

Our study showed that the prevalence of overweight was 64% and 52% among men and women, respectively. It, therefore, revealed a gender gap in overweight people of 11.7% points with explanatory factors accounting for 39% of that gap. This gender gap in overweight people was mostly explained by behavioural variables (19.3%), followed by the materialistic variables and age accounting for 16.2% and 3.1%, respectively. Specifically, having low education, being in the lowest income quintile, alcohol drinking and snus usage contributed to explain 8.4%, 8.9%, 2.8% and 6.3% of the gender difference, respectively.

CONCLUSIONS

We found a considerable gender inequality in overweight between men and women. The findings highlight that future overweight prevention initiatives would benefit from targeting the uncovered contributing factors to reduce gender inequalities in overweight people.

The Role of Oxidative Stress and Inflammation in Obesity and Its Impact on Cognitive Impairments-A Narrative Review

Obesity is a chronic low-grade inflammatory condition that induces the generation of oxidative stress and inflammation. This oxidative stress and inflammation stimulate brain atrophy and some morphological changes in the brain that eventually result in cognitive impairments. However, there is no exact study that has summarized the role of oxidative stress and inflammation in obesity and its impact on cognitive impairments. Thus, the objective of this review is to recapitulate the current role of oxidative stress and inflammation in cognitive decline based on in vivo evidence. A comprehensive search was performed in Nature, Medline and Ovid, ScienceDirect, and PubMed, and the search was limited to the past 10 years of publication. From the search, we identified 27 articles to be further reviewed. The outcome of this study indicates that a greater amount of fat stored in individual adipocytes in obesity induces the formation of reactive oxygen species and inflammation. This will lead to the generation of oxidative stress, which may cause morphological changes in the brain, suppress the endogenous antioxidant system, and promote neuroinflammation and, eventually, neuronal apoptosis. This will impair the normal function of the brain and specific regions that are involved in learning, as well as memory. This shows that obesity has a strong positive correlation with cognitive impairments. Hence, this review summarizes the mechanism of oxidative stress and inflammation that induce memory loss based on animal model evidence. In conclusion, this review may serve as an insight into therapeutic development focusing on oxidative stress and inflammatory pathways to manage an obesity-induced cognitive decline in the future.

Gender and Age Differences in Anthropometric Characteristics of Taiwanese Older Adults Aged 65 Years and Older

A previous study provided reference data on the age and gender distribution of anthropometric parameters in Taiwanese adults. However, there are very few large-scale analyses of anthropometric data of older adults in Taiwan. Therefore, the main purpose of this study was to describe gender- and age-specific distributions of anthropometric measurements and anthropometry assessments of Taiwanese older adults. This was a cross-sectional study conducted on 22,389 adults aged 65 years or older (8017 males and 14,372 females) who participated in Taiwan's National Physical Fitness Survey 2014-2015. All participants were recruited using stratified convenience sampling from 46 physical fitness test stations in 22 cities or counties in Taiwan. The anthropometric measurements and anthropometry assessments included in the present study were the assessments of height, weight, body mass index (BMI), waist circumference (WC), hip circumference (HC), and waist-to-hip ratio (WHR). The results showed statistically significant differences in weight, height, WC, and WHR across all age groups among both male and female individuals aged 65 years and older in Taiwan. However, there was no significant difference in BMI and HC between males and females in all age groups. Anthropometric status provides an initial assessment of the overall health of the population. This study uses a representative population of Taiwanese older adults over the age of 65 for analysis and provides detailed information on anthropometric data distribution.

Sex differences in non-communicable disease multimorbidity among adults aged 45 years or older in India

OBJECTIVE

Older male and female adults differ in key characteristics such as disease-specific life expectancy, health behaviours and clinical presentations and non-communicable disease multimorbidity (NCD-MM). Therefore, examining the sex differences in NCD-MM among older adults is vital, as this issue is understudied in low-income and middle-income country (LMIC) contexts such as India, and has been growing in the past few decades.

DESIGN

Large scale nationally representative cross-sectional study.

SETTINGS AND PARTICIPANTS

Longitudinal Ageing Study in India (LASI 2017-2018) had data on 27 343 men and 31 730 women aged 45+, drawn from a sample of 59 073 individuals across India.

PRIMARY AND SECONDARY OUTCOMES MEASURES

We operationalised NCD-MM based on prevalence of the presence of two or more long-term chronic NCD morbidities. Descriptive statistics and bivariate analysis along with multivariate statistics were used.

RESULTS

Women aged 75+ had a higher prevalence of multimorbidity as compared with men (52.1% vs 45.17%). NCD-MM was more common among widows (48.5%) than widowers (44.8%). The female-to-male ratios of ORs (RORs) for NCD-MM associated with overweight/obesity and prior history of chewing tobacco were 1.10 (95% CI: 1.01 to 1.20) and 1.42 (95% CI: 1.12 to 1.80), respectively. The female-to-male RORs show that the odds of NCD-MM were greater in formerly working women (1.24 (95% CI: 1.06 to 1.44)) relative to formerly working men. The effect of increasing NCD-MM on limitations in activities of daily living and instrumental ADL was greater in men than women but reversed for the hospitalisation.

CONCLUSIONS

We found significant sex differences in NCD-MM prevalence among older Indian adults, with various associated risk factors. The patterns underlying these differences warrant greater study, given existing evidence on differential longevity, health burdens and health-seeking patterns all of which operate in a larger structural context of patriarchy. Health systems in turn must respond to NCD-MM mindful of these patterns and aim to redress some of the larger inequities they reflect.

Multivariate decomposition of gender differentials in successful aging among older adults in India

BACKGROUND

Rowe and Kahn define successful aging as a high physical, psychological, and social functioning in old age without major diseases. It is considered a viable solution to the burdens placed on healthcare systems and financial and social security in societies with aging population. The present study aimed to determine the prevalence of successful aging and explore the factors contributing to gender differentials in successful aging among older adults in India.

METHODS

This study utilized data from the nationally representative Longitudinal Ageing Study in India, conducted in 2017-18. The study is based on a sample of 15,098 older men and 16,366 older women aged 60 years and above. The outcome variable was a dichotomous measure of successful aging with six components including absence of chronic diseases, free from disability, high cognitive ability, free from depressive symptoms, active social engagement in life and free from obesity. Older adults satisfying all these conditions were considered aging successfully. Descriptive and bivariate analyses were carried out. Proportion test was used to evaluate the gender differentials and reflect the statistical significance in the associated factors. Multivariate decomposition analysis was conducted to identify covariates' contribution in explaining the gender differences in successful aging.

RESULTS

There was a significant gender difference in successful aging among older adults in India (Difference: 8.7%; p-value < 0.001] with 34.3% older men and 25.6% older women experiencing successful aging. A proportion of 88% of gender difference in successful aging was explained by the differences in the distribution of characteristics (Coef: 0.082; p-value < 0.05). Considerable gender gap in successful aging would be reduced if women had similar levels of work status (28% reduction) to their male counterparts. Bringing the level of frequent physical activity in women to the same levels observed in men would reduce the gender gap by 9%.

CONCLUSIONS

The findings suggest that women had a lower score in successful aging, which is attributed to several socioeconomic and behavioural factors including not working status and physical inactivity. More studies must be done to explore the reasons for such differences and what particular factors in low-income countries create differences among older men and women in achieving successful aging.

Overweight Prevalence among Rural Adolescents by Household Head Obesity and Socio-Economic Status in Limpopo, South Africa

Background: Childhood obesity has become the most important and growing public health problem in the world. They add to public health challenges by increasing the burden of chronic non-communicable diseases. However, in spite of its importance, there is limited literature that evaluates the prevalence of obesity among rural adolescents in sub-Saharan Africa. We report the first study to present an insight into rural black overweight South African children and the physical characteristics and socio-economic status of the household head. A quantitative cross-sectional population study was conducted involving 51 selected primary villages within the DIMAMO surveillance area in the Capricorn District of Limpopo Province, South Africa. The study involved 294 adolescents, 154 girls and 140 boys, who were under the age of 18. Of these participants, 127 (43%) were within the normal weight range, and 167 (57%) were overweight. Gender made a significant difference, with more girls being overweight than boys. Adolescents who did not receive child grants and whose heads of household were 45−54 years old, poor, and overweight had a higher prevalence of obesity (p-value < 0.05). This study suggests that public health interventionists need to target both the heads of household and their children in hopes of reducing the prevalence of overweight and obese South African children. We further propose a better understanding of the causes of childhood overweight and obesity to guide policy development and implementation in rural settings.

The National Programme for Health Care of the Elderly: A Review of its Achievements and Challenges in India

Aging care is critical. Projections for 2020 indicate that India’s older population will comprise 6.57% of the overall population. The best-known newly developed technologies must be provided to the older population. Non-governmental organizations and private institutions are increasingly providing more door-to-door guidance and help. This study evaluated the impact of the National Programme for Health Care of the Elderly (NPHCE) in India and analyzed its achievements and challenges. The program’s key strategies include providing preventive and promotional care and sickness management, empowering geriatric services, and guaranteeing optimal rehabilitation. The NPHCE is an excellent project for caring for a rapidly aging population. This study described the existing programs and schemes related to older people in India, with a focus on the NPHCE and an analysis of the program’s achievements and challenges.