An assessment of anthropometric indices and its association with NCDs among the older adults of India: evidence from LASI Wave-1

The Burden of Chronic Diseases with the Status of Family Medical History Among Older Adults in India

This study aims to assess and compare the prevalence of chronic diseases by the first-degree Family Medical History (FMH) and also explores the relationship between FMH and selected Non-communicable diseases (NCDs) among older adults in India. The present study collated secondary data from the Longitudinal Ageing Study in India (LASI, 2017-18). The eligible respondents for the analysis of this study were aged 45 years and above, where the final study sample consisted of 65,562 older adults across all Indian states and union territories. The LASI dataset collected responses on self-reported diseases: Hypertension, Stroke, Heart disease, Cancer, and Diabetes. These diseases have a high prevalence among the population and are considered in the present study. Along with disease status, respondents' first-degree relatives FMH were used to fulfil the objective. Descriptive statistical analysis and multiple logistic regression techniques were used to accomplish the objectives analysis. This approach was chosen due to the binary nature of our primary dependent variables. The study found that the prevalence of selected NCDs was considerably higher among older adults with FMH than those without FMH. It revealed that NCDs and the status of FMH of parents and siblings were significantly associated. Based on the multivariate-adjusted model, we found significantly higher odds for developing the NCDs when the respondents have FMH among at least one of the first-degree relative. The likelihood among those with FMH of having hypertension (AOR: 2.058), diabetes (AOR: 2.94), heart diseases (AOR: 2.39), stroke (AOR: 1.62) and cancer (AOR: 2.32) was higher compared to no FMH of respective diseases. Similarly, significant associations were observed according to the different stratification of the number of first-degree relatives FMH. The present study demonstrated that first-degree relatives FMH is indeed a dominant associated risk factor for chronic disease among the older adults of India. This study supports the promotion of a disease history tool for chronic disease prevention and early detection approaches as a valuable measure of NCD risk. Public health practitioners can take several steps to access FMH and incorporate FMH into public health programs for the screening of the risk population.

Age- and sex-disaggregated disease burden among the older persons in India

BACKGROUND

In the context of the increasing number and proportion of population aged 60 years or more in India, it is imperative to understand their health needs for ensuring healthy ageing.

METHODS

Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we identified the top ten causes of disability-adjusted life years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) disaggregated by sex and age groups (60-64 years, 65-69 years, 70-74 years, 75-79 years, and ≥ 80 years) for India in 2019. We analysed the proportional contribution of individual causes to the total DALYs due to communicable diseases (CMNNDs), non-communicable diseases (NCDs), and injuries disaggregated by age and sex. We report the state-level heterogeneity in the crude DALY rate for CMNNDs, NCDs, and injuries for older persons disaggregated by sex. Additionally, we reviewed if the data capture of service delivery indicators on older persons were age- and sex-disaggregated in the Health and Wellness Centres (HWCs), and in the National Programs aimed at the Health Care for the Elderly (NPHCE), Prevention and Control of Non-communicable Diseases (NP-NCD), Control of Blindness and Visual Impairment (NPCBVI), Prevention & Control of Deafness (NPPCD), the Mental Health Program (NMPH), and the AYUSH Musculoskeletal Disorders Program (MSDP) within the context of disease burden.

RESULTS

The older persons accounted for a total of 136.1 million DALYs (29.1% of the total DALYs) in 2019 of which 77.9% were from NCDs, 14.8% from CMNNDs, and 7.3% from injuries, and nearly two-thirds of DALYs were accounted by YLLs. In NCDs, cardiovascular diseases, chronic respiratory diseases, neoplasms, diabetes and kidney diseases, and musculoskeletal disorders accounted for nearly 80% of DALYs for both sexes. There were variations in the magnitude of disease burden by specific diseases and conditions between females and males, and by age groups within both sexes particularly for injuries and CMNNDs. Injuries accounted for more YLDs than YLLs, ranging between 5.9%-15.2% for females and 15.3%-17.3% for males, with the females having a higher contribution to total injury related DALYs due to falls as compared to the males (54.4% vs 36.6%), whereas the males had a higher contribution to total DALYs due to road injuries (33.8% vs 19.4%). There was substantial variation in the crude DALY rates of major disease groups by the two sexes across the states of India in 2019. The crude DALY rate for CMNNDs varied between 3.6 times -3.7 times between the states for females and males, respectively; NCDs varied between 1.3 times -1.9 times, and injuries varied 2.0 times -1.7 times. The capture of service utilisation indicators was not age- or sex-disaggregated in NPHCE, NPCBVI, NMHP, MSDP, and HWCs; sex-disaggregation was available in NP-NCD but not age-disaggregation; sex-disaggregated data was available for many service indicators in NPPCD but with no age disaggregation beyond 50 years and more. Only NP-NCD and NPPCD allowed for data capture by disease/condition or severity of disease/condition for the older persons whereas the other programs including NPHCE did not allow for much disaggregated understanding by the type of services availed.

CONCLUSIONS

This comprehensive assessment of the differentials in disease burden among older persons across age, sex and states of India, and the gaps identified in the service utilisation data capture by age and sex for the older persons in the national health programs can provide crucial inputs for strengthening the on-going public health policy and programmatic efforts aimed at improving the health and well-being of the growing older population in India.

Cardiovascular Diseases Among Indian Older Adults: A Comprehensive Review

Cardiovascular diseases (CVDs) constitute an important cause of morbidity and mortality globally, and India is no exception to this trend. With the ongoing aging of the population in India, there is a notable surge in the prevalence and impact of CVDs among older adults. This review is aimed at providing a comprehensive overview of the current knowledge concerning the prevalence, risk factors, and management of CVDs in the context of Indian older adults. The incidence of CVDs in India is not only alarming but also exhibits an upward trajectory with advancing age. Primary risk factors contributing to the elevated incidence among older adults include hypertension (HT), diabetes, dyslipidemia, obesity, smoking, a sedentary lifestyle, and poor dietary habits. Additionally, stress and genetic predisposition emerge as noteworthy contributors to CVDs in this population. Effectively identifying and managing these risk factors among older adults in India is imperative to alleviate the burden of these diseases and enhance overall quality of life. Strategies aimed at mitigating the impact of CVDs in the country necessitate a comprehensive approach, integrating lifestyle interventions, public health initiatives, and a robust healthcare system. In summary, CVDs represent a significant health concern in both rural and urban areas of India. However, variations exist in the prevalence, risk factors, and accessibility to healthcare between these regions. Therefore, addressing the prevalence of CVDs in India necessitates a complex, multidimensional strategy that takes into account the unique opportunities and challenges that come with living in both rural and urban areas.

A, Sarma DK, Verma V, Nagpal R, Mohania D, Tiwari R, Kumar M. Deciphering the complex interplay of risk factors in type 2 diabetes mellitus: A comprehensive review

The complex and multidimensional landscape of type 2 diabetes mellitus (T2D) is a major global concern. Despite several years of extensive research, the precise underlying causes of T2D remain elusive, but evidence suggests that it is influenced by a myriad of interconnected risk factors such as epigenetics, genetics, gut microbiome, environmental factors, organelle stress, and dietary habits. The number of factors influencing the pathogenesis is increasing day by day which worsens the scenario; meanwhile, the interconnections shoot up the frame. By gaining deeper insights into the contributing factors, we may pave the way for the development of personalized medicine, which could unlock more precise and impactful treatment pathways for individuals with T2D. This review summarizes the state of knowledge about T2D pathogenesis, focusing on the interplay between various risk factors and their implications for future therapeutic strategies. Understanding these factors could lead to tailored treatments targeting specific risk factors and inform prevention efforts on a population level, ultimately improving outcomes for individuals with T2D and reducing its burden globally.

Beyond Boundaries: A Comprehensive Review of Anthropometric Indices in Urban and Rural India

This comprehensive review examines anthropometric indices in the context of urban and rural India, shedding light on the dynamic interplay between lifestyle, socio-economic factors, and environmental influences on health outcomes. Analyzing indicators such as Body Mass Index (BMI), waist-to-hip ratio (WHR), and mid-upper arm circumference (MUAC), the study reveals distinct disparities between urban and rural populations. While rural areas face the challenges of undernutrition and stunting, urban environments grapple with the escalating prevalence of obesity and non-communicable diseases. The implications for public health underscore the need for tailored interventions, encompassing nutritional education, equitable healthcare access, and lifestyle interventions. The call-to-action advocates for collaborative efforts among policymakers, healthcare professionals, researchers, and communities to implement evidence-based strategies, advocate for policy reforms, and continually monitor anthropometric trends. This review serves as a roadmap for fostering healthier communities in India by addressing anthropometric disparities and steering toward a more equitable and sustainable future.

Associations of general and central adiposity with hypertension and cardiovascular disease among South Asian populations: a systematic review and meta-analysis

BACKGROUND

The relevance of measures of general and central adiposity for cardiovascular disease (CVD) risks in populations of European descent is well established. However, it is less well characterised in South Asian populations, who characteristically manifest larger waist circumferences (WC) for equivalent body mass index (BMI). This systematic review and meta-analysis provide an overview of the literature on the association of different anthropometric measures with CVD risk among South Asians.

METHODOLOGY

MEDLINE and Embase were searched from 1990 to the present for studies in South Asian populations investigating associations of two or more adiposity measures with CVD. Random-effects meta-analyses were conducted on the associations of BMI, WC and waist-to-hip ratio (WHR) with blood pressure, hypertension and CVD. Quality assessment was performed using the Newcastle-Ottawa scale.

RESULTS

Titles and abstracts were screened for 7327 studies, yielding 147 full-text reviews. The final sample (n=30) included 2 prospective, 5 case-control and 23 cross-sectional studies. Studies reported generally higher risks of hypertension and CVD at higher adiposity levels. The pooled mean difference in systolic blood pressure (SBP) per 5 kg/m2 higher BMI was 3 mmHg (2.90 (95% CI 1.30 to 4.50)) and 6 mmHg (6.31 (95% CI 4.81 to 7.81) per 13 cm larger WC. The odds ratio (OR) of hypertension per 5 kg/m2 higher BMI was 1.33 (95% CI 1.18 to 1.51), 1.45 (95% CI 1.05 to 1.98) per 13 cm larger WC and 1.22 (95% CI 1.04 to 1.41) per 0.1-unit larger WHR. Pooled risk of CVD for BMI-defined overweight versus healthy-weight was 1.65 (95% CI 1.55 to 1.75) and 1.48 (95% CI 1.21 to 1.80) and 2.51 (95% CI 0.94 to 6.69) for normal versus large WC and WHR, respectively. Study quality was average with significant heterogeneity.

CONCLUSIONS

Measures of both general and central adiposity had similar, strong positive associations with the risk of CVD in South Asians. Larger prospective studies are required to clarify which measures of body composition are more informative for targeted CVD primary prevention in this population.

Association between depression and endometriosis using data from NHANES 2005-2006

Studies on the association between depression and self-reported endometriosis are limited, and further studies are required to investigate this association. Data were collected from the National Health and Nutrition Examination Survey database (2005-2006). Based on the inclusion and exclusion criteria, 100 participants with self-reported endometriosis and 1295 participants without self-reported endometriosis were included, representing a total population of 64,989,430. Depression severity was assessed using the Patient Health Questionnaire 9 (PHQ9). A survey-weighted logistic regression analysis was performed to explore the association between depression and endometriosis. Subgroup analyses were conducted to explore heterogeneity. The prevalence of endometriosis was 7.17%. A significant positive association was found between the PHQ9 score and endometriosis. After adjusting for all covariates, the PHQ9 score positively correlated with endometriosis. Furthermore, compared with the participants without depression, those with moderate depression were more prone to have endometriosis both in unadjusted and fully adjusted model. However, the relationship between severe depression and endometriosis was not significant in all models (P > 0.05). Our findings highlight the influence of depression on the prevalence of self-reported endometriosis. Further studies are required to elucidate the causal relationship between depression and self-reported endometriosis.

Normal weight central obesity and hypertension in India: Cross-sectional finding from LASI, 2017-19

BACKGROUND AND AIM

The current public health guidelines for preventing and managing obesity still emphasize the importance of maintaining a normal Body Mass Index, while paying little attention to central obesity, which is common among the general population. Normal Weight Central Obesity (NWCO) is a less explored risk factor for hypertension in India. Therefore, this study aims to investigate the prevalence of NWCO and its association with hypertension in India.

METHODS AND RESULTS

The cross-sectional study used data from the Longitudinal Aging Study in India (LASI), 2017-19, which included 54,016 participants (22,438 men and 31,578 women). Hypertension was evaluated following the JNC-VIII guidelines for the detection, evaluation, and treatment of hypertension. Anthropometric measurements were taken to identify NWCO. The study found that NWCO was more prevalent among women (33.9%) than men (17.8%), while men had a higher prevalence of hypertension (47.6%) than women (43.8%). In India, the state of Haryana had the highest proportion of NWCO among men (26.4%), while Kerala had the highest proportion among women (39.1%). Binary logistic regression analysis showed that NWCO was significantly associated with an increased risk of hypertension. The odds ratio (aOR) was 1.57 (95% CI 1.45-1.67, p < 0.001) in men and 1.53 (95% CI 1.43-1.63, p < 0.001) in women, compared to normal-weight study participants.

CONCLUSIONS

The study emphasizes the importance of considering central obesity in individuals with a normal BMI when assessing cardiovascular risk, particularly for hypertension. State-specific data can help identify high-risk areas and facilitate targeted prevention and treatment strategies.

Waist-to-Height Ratio: A Sensitive Tool for Assessing the Need for Nutritional Risk Management in Elderly Populations from Brazil

INTRODUCTION

Nutritional status assessment commonly relies on body mass index (BMI), which overlooks lean mass and adipose tissue distribution. However, waist circumference (WC) and waist-to-height ratio (WHtR) provide additional insights into fat accumulation. By combining these indices, it may be possible to identify older adults needing weight management interventions.

OBJECTIVES

To assess the WC and WHtR as strategies for identifying individuals requiring weight management.

METHODS

A cross-sectional study was conducted with 509 elderly individuals in Northeast Brazil. Weight, height, hip circumference, and waist circumference were measured, and combined with indices such as BMI WC, WHR, and WHtR to identify those who require weight management. The DeLong test compared areas under the curves using receiver operating characteristic curves and statistical significance. Sensitivity, specificity, and positive and negative predictive values were calculated to verify usefulness for clinical application. A validation sample of 599 elderly individuals from the country's Southern region was used to confirm the results.

RESULTS

Both WC and WHtR showed adequate diagnostic accuracy with no statistically significant difference in AUCs. WHtR ≥ 0.50 had 92% sensitivity in identifying men and women requiring nutritional management. WC presented lower sensitivity but 93% specificity, useful for excluding elderly individuals from the nutritional risk category. These results were consistent in the validation sample.

CONCLUSION

WHtR is a valuable index for screening nutritional risk management in the elderly population, applicable to men and women. Conversely, WC performs better in excluding individuals who do not need nutritional risk management.

Comparing socio-economic inequalities in self-reported and undiagnosed hypertension among adults 45 years and over in India: what explains these inequalities?

BACKGROUND

Hypertension (HTN) is a leading cause of mortality and morbidity in developing countries. For India, the hidden burden of undiagnosed hypertension is a major concern. This study aims to assess and explain socio-economic inequalities among self-reported and undiagnosed hypertensives in India.

METHODS

The study utilized data from the Longitudinal Aging Study in India (LASI), a nationally-representative survey of more than 72,000 older adults. The study used funnel plots, multivariable logistic regression, concentration indices, and decomposition analysis to explain the socio-economic gap in the prevalence of self-reported and undiagnosed hypertension between the richest and the poorest groups.

RESULTS

The prevalence of self-reported and undiagnosed hypertension was 27.4 and 17.8% respectively. Monthly per capita consumption expenditure (MPCE) quintile was positively associated with self-reported hypertension but negatively associated with undiagnosed hypertension. The concentration index for self-reported hypertension was 0.133 (p < 0.001), whereas it was - 0.047 (p < 0.001) for undiagnosed hypertension. Over 50% of the inequalities in self-reported hypertension were explained by the differences in the distribution of the characteristics whereas inequalities remained unexplained for undiagnosed hypertension. Obesity and diabetes were key contributors to pro-rich inequality.

CONCLUSIONS

Results imply that self-reported measures underestimate the true prevalence of hypertension and disproportionately affect the poorer MPCE groups. The prevalence of self-reported HTN was higher in the richest group, whereas socio-economic inequality in undiagnosed hypertension was significantly concentrated in the poorest group. As majority of the inequalities remain unexplained in case of undiagnosed hypertension, broader health systems issues including barriers to access to health care may be contributing to inequalities.

Association of anthropometric indices with the development of multimorbidity in middle-aged and older adults: A retrospective cohort study

BACKGROUND

Previous studies have explored the relationship between body mass index (BMI) and multimorbidity. However, the relationship between other obesity indicators and their dynamic changes and multimorbidity has not been systematically estimated. Therefore, we aimed to investigate the association of BMI and other obesity indicators, including waist circumference (WC), waist-to-height ratio (WHtR), waist divided by height0.5 (WHT.5R), and body roundness index (BRI) and their changes and the risk of multimorbidity in middle-aged and older adults through a retrospective cohort study.

METHODS

Data collected from annual health examination dataset in the Jinshui during 2017 and 2021. Cox regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) to evaluate the effect of baseline and dynamic changes in the anthropometric indices on the risk of multimorbidity.

RESULTS

A total of 75,028 individuals were included in the study, and 5,886 participants developed multimorbidity during the follow-up. Multivariate Cox regression analysis revealed a progressive increase in the risk of multimorbidity with increasing anthropometric indicators (BMI, WC, WHtR, WHT.5R, and BRI) (all P<0.001). Regardless of general obesity status at baseline, increased WC was associated with a high risk of multimorbidity. Compared to the subjects with baseline BMI<24 kg/m2 and WC<90 (men)/80 (women), the HRs (95% CI) of the baseline BMI<24 kg/m2 and WC≥90 (men)/80 (women) group and BMI≥24 kg/m2 and WC≥90 (men)/80 (women) group were 1.31 (1.08, 1.61) and 1.82 (1.68, 1.97), respectively. In addition, the dynamics of WC could reflect the risk of multimorbidity. When subjects with baseline WC<90 (men)/80 (women) progressed to WC≥90 (men)/80 (women) during follow-up, the risk of multimorbidity significantly increased (HR = 1.78; 95% CI, 1.64, 1.95), while the risk of multimorbidity tended to decrease when people with abnormal WC at baseline reversed to normal at follow-up (HR = 1.40; 95% CI, 1.26, 1.54) compared to those who still exhibited abnormal WC at follow-up (HR = 2.00; 95% CI, 1.82, 2.18).

CONCLUSIONS

Central obesity is an independent and alterable risk factor for the occurrence of multimorbidity in middle-aged and elderly populations. In addition to the clinical measurement of BMI, the measurement of the central obesity index WC may provide additional benefits for the identification of multimorbidity in the Chinese middle-aged and elderly populations.

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

Background

Co-existence of multiple chronic diseases is increasingly becoming a norm among ageing population. The study aims to investigate the prevalence of multimorbidity and the association between anthropometric measures of obesity and multimorbidity among men and women aged 60 years and above in India.

Methods

The present study is based on the first wave of the Longitudinal Aging Study in India. The analytical sample size for the study was 28,050 older adults aged 60 years and above. Descriptive statistics and multivariable analysis using logistic regression models were conducted.

Results

Body Mass Index (BMI) based-obesity is more prevalent among older women than men (26.3% vs. 17.6%). Similarly, higher proportion of older women was at high-risk waist circumference (37.1% vs 8.9%) and waist-hip ratio (78.5 vs 75.4%) than men respectively. In Model-I, after controlling for several covariates, older adults with overweight/obesity were 1.6 times more likely to have multi-morbidity than non-obese older adults (Adjusted OR = 1.61; 95% CI: 1.48–1.74). Similarly, older adults with high-risk waist circumference [Adjusted OR: 1.66; 95% CI: 1.52–1.80] and waist-hip ratio [Adjusted OR: 1.45; 95% CI: 1.33–1.59] also had higher odds of having multi-morbidity in reference to their counterparts. In model-3 it was found that females with high-risk waist-hip ratio had 14% lower odds of multimorbidity than males with high-risk waist-hip ratio [Adjusted OR: 0.86; 95%CI: 0.78–0.94].

Conclusion

The findings of the study show significant gender difference in the prevalence of multimorbidity, men being at increased risk in the multivariate analysis which is uncommon in the existing epidemiological research. Interactive effect of male gender with anthropometric measures on multimorbidity reported in our study probably due to increased unhealthy behaviours among men requires further research.