Inequalities in overweight and obesity among reproductive age group women in India: evidence from National Family Health Survey (2015-16)

Spatial clustering of overweight/obesity among women in India: Insights from the latest National Family Health Survey

BACKGROUND

Overweight/obesity has become global health concern with increasing prevalence. This study examined district-level disparities and spatial clustering of overweight/obesity among women of reproductive age (WRA) in India using the latest National Family Health Survey-5 (2019-2021) data.

METHOD

Information of 623,656 women aged 15 to 49 from the NFHS-5 (2019-2021) were analysed in this study. The outcome variable was BMI as classified by the world health organisation (WHO). Utilising Global Moran's I, Anselin's Local Moran's I, and spatial regression models spatial clustering and associated factors were analysed.

RESULT

The study found that 24% (95% CI: 23.8-24.3) of WRA in India were overweight/obese in 2019-21. The prevalence was greatest in Punjab (41%) and lowest in Meghalaya (11%). Additionally, the Global Moran's I value for the outcome variable was 0.73, indicating a positive spatial autocorrelation in the overweight/obesity. Districts of Tamil Nadu, Andhra Pradesh, Karnataka, Kerala, Telangana, Punjab, Himachal Pradesh, Jammu & Kashmir, Haryana, and Delhi were hotspots of overweight/obesity. Several factors of overweight/obesity among WRA were identified, including place of residence (β: 0.034, p: 0.011), parity (β: 0.322, p: 0.002), social group (β: -0.031, p: 0.016), religion (β: -0.044, p: <0.001), household wealth status (β: 0.184, p: <0.001), mass-media exposure (β: 0.056, p: 0.031), and diabetes (β: 0.680, p: <0.001).

CONCLUSION

The study emphasizes the importance of targeted interventions and region-specific strategies, while also stressing the need to address associated factors to develop effective public health initiatives aimed at reducing overweight/obesity prevalence among WRA in India.

Does high body mass index (>25 kg/m2) or weight (>80 kg) reduce the effectiveness of anti-D prophylaxis in Rh(D)-negative pregnant women? A systematic review and meta-analysis

BACKGROUND AND OBJECTIVES

Haemolytic disease of the foetus and newborn (HDFN) occurs when maternal antibodies, often triggered by foetal antigens, destroy foetal and neonatal red blood cells. Factors like antibody strength, quantity and gestational age influence HDFN severity. Routine antenatal anti-D prophylaxis (RAADP) has significantly reduced HDFN cases. However, the effect of overweight/obesity (body mass index [BMI] > 25/30 kg/m2) on anti-D prophylaxis efficacy remains unclear. This systematic review will examine the impact of BMI on anti D prophylaxis effectiveness in Rh(D) negative pregnant women.

MATERIALS AND METHODS

We conducted a systematic review and meta-analysis following Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) protocols. We searched databases from 1996 to 2023, focusing on studies exploring the link between high BMI/weight and anti-D serum levels in Rh(D)-negative pregnant women with Rh(D)-positive foetuses. Ten eligible studies were included, three suitable for meta-analysis. Study quality was assessed using the Strengthening the Reporting Observation Studies in Epidemiology (STROBE) checklist. Statistical analyses included Pearson correlation coefficients and risk differences.

RESULTS

Our meta-analysis revealed a significant negative correlation (r = -0.59, 95% confidence interval [CI]: -0.83 to -0.35, p = 0.007) between high BMI/weight and serial anti-D levels in in Rh(D)-negative pregnant women with Rh(D)-positive foetuses. High BMI/weight had lower odds of serial anti-D level exceeding 30 ng/mL (arcsine risk difference [ARD] = 0.376, 95% CI: 0.143-0.610, p = 0.002). Heterogeneity among studies was low (I2 = 0).

CONCLUSION

While our analysis suggests a potential linkage between high BMI/weight and reduced efficacy of anti-D prophylaxis, caution is warranted due to study limitations. Variability in study design and confounding factors necessitate careful interpretation. Further research is needed to confirm these findings and refine clinical recommendations.

Public Policies on Obesity: A Literature Review of Global Challenges and Response Strategies

As a complex and multifactorial health problem, obesity results from the interaction of genetic, environmental, dietary, and lifestyle factors. Globally, the increase in obesity and related chronic diseases has been associated with global trade liberalization, rapid urbanization, and economic growth. This article is a narrative literature review on the global obesity problem and explores the global challenges of obesity and strategies to address them. The research methodology included a retrieval of peer-reviewed articles, including PubMed, ScienceDirect, and Google Scholar. Specific search terms like "obesity", "policy", "nutrition", and "global", outline the impact of obesity on global health and social systems, as well as policy effectiveness and gaps that exist. The outcome reveals regional differences in obesity rates and provides an analysis of the policies that countries have implemented to address obesity and their effectiveness, in particular concerning improving the quality of diets and limiting the intake of added sugars. Despite some policies proving effective, the challenge of obesity is far from being fully addressed, necessitating robust international efforts and strategies.

A Vulnerability Index for Mitigation and Prevention of Diabetes Growth in India: A Disaggregated Analysis

OBJECTIVES

This study aimed to provide a vulnerability index (VI) for identifying vulnerable regions in different states of India, which may serve as a tool for state- and district-level planning for mitigation and prevention of diabetes growth in the country.

METHODS

Using data on 13 indicators under 4 domains, we generated domain-specific and overall VIs at state (36 states/union territories) and district levels (640 districts) using the percentile ranking method. The association of diabetes with individuals' socioeconomic status at different levels of regional vulnerability has also been observed through multivariable logistic regression models.

RESULTS

On a scale of 0 to 1, there are 13 states with an overall VI of >0.70, of which 5 states are from southern regions of India. A low VI has been achieved by socioeconomically backward states. We observed that prevalence rates and vulnerability levels for most of the top and bottom 11 states are in the same line. District-level analysis showed that the 20 most vulnerable and least vulnerable districts are mostly from coastal and socioeconomically backward states of the country, respectively. Furthermore, logistic regression revealed that rural adults and females are less likely to be diabetic in all vulnerability quartiles. The oldest, Muslims, wealthiest, widowed/deserted/separated, and those with schooling ≤12 years are significantly more likely to be diabetic than their counterparts.

CONCLUSION

The constructed VI is vital for identifying vulnerable areas and planners and policy-makers may use this comprehensive index and domain-specific VIs to prioritize resource allocation.

Prevalence of metabolic disorders among women in reproductive age group in hilly rural area of North India

Background

Metabolic syndrome consists of cardiometabolic risk factors that promote the development of atherosclerotic cardiovascular disease, type 2 'DM' and obesity. These are associated with increased cardiovascular mortality and morbidity. Metabolic disorders (MD) are becoming more prevalent both in developing countries and developed countries and are now considered as lifestyle diseases. In women of reproductive age group, especially pregnancy, the blood glucose level is increasing which adversely affects the health of mother and child. Similarly, high blood pressure also precipitates the problems. This study was carried out to find the prevalence of hypertension, diabetes mellitus, obesity and 'MD' among the women living in remote rural set-up.

Materials and Methods

This cross-sectional study was done among women of reproductive age group in 15 villages from 5 panchayats of field practice area of Maharishi Markandeshwar Medical College and Hospital, Kumarhatti, Solan. They were screened for 'MD' through investigative procedures (weight, height, BMR, abdominal girth, blood pressure through sphygmomanometer, blood glucose through the glucometer method), serum HDL and triglycerides. Respondents from the family were asked about the common/general information of house. The tool used for collecting general and relevant information from the respondent was a questionnaire, which was pretested for validity before being used in the field.

Results

Four-hundred and sixty-seven women of reproductive age group participated in the study. Half of the participants were with qualification of matriculate and 9.2% participants were illiterate. Three-fourths of the participants were married women and 89% were vegetarian. Sixty-four per cent of participants were housewives. Half of the participants had a normal BMI, whereas 28.9% were overweight and 10% were obese. The prevalence of hypertension and diabetes among the participants were 12.5% and 9.8%, respectively. Forty-seven per cent participants had a waist circumference above 80 cm.

Conclusion

The level of non-communicable diseases is related with the MD which has the adverse effect on the various systems and organs of the subjects. The MD can be controlled with the certain changes in the life style pattern. The GOI is also concerned with such scenarios in the country. It is recommended that women of reproductive age group undergo regular blood pressure and blood sugar screenings to detect hypertension and diabetes early and take appropriate measures to manage them.

Decomposing the rural-urban disparities in overweight and obesity among women of reproductive age in Nigeria

BACKGROUND

Overweight and obese women face various reproductive and other health challenges, and in some cases, even mortality. Despite evidence of rural-urban disparities in overweight and obesity among women of reproductive age, there is limited evidence regarding the predictors of these disparities. This study aims to investigate the factors associated with overweight and obesity and examine the contributors to rural-urban disparities in overweight and obesity among women of reproductive age in Nigeria.

METHODS

We utilized the 2018 Nigeria Demographic and Health Survey dataset. The survey employed a two-stage cluster sampling technique based on Nigeria's 2006 census enumeration areas for sample selection. Overweight and obesity were defined as a body mass index (BMI) ≥ 25. Data analyses were conducted using the Logistic Regression Model and the threefold Blinder-Oaxaca decomposition model (α0.05).

RESULTS

The study revealed that older women (OR = 2.44; CI = 2.11-2.83), those with higher wealth (OR = 2.05; CI = 1.81-2.31), contraceptive users (OR = 1.41; CI = 1.27-1.57), and residents of the South-South region (OR = 1.24; CI = 1.07-1.45) were more likely to be overweight/obese. The decomposition analysis indicated that the mean predicted prevalence of overweight and obesity is 35.5% in urban areas, compared to 21.1% in rural areas of Nigeria. Factors such as wealth status, educational level, media exposure, and contraceptive use were identified as significant contributors to these disparities.

CONCLUSION

The findings underscore the importance of addressing socioeconomic disparities when designing healthcare interventions to reduce the burden of overweight and obesity, particularly in urban areas. Prioritizing these factors can facilitate efforts to promote healthier lifestyles and enhance overall well-being.

Spatiotemporal variations and determinants of overweight/obesity among women of reproductive age in urban India during 2005-2021

BACKGROUND

India has witnessed rapid urbanization in recent decades, leading to a worrisome surge in non-communicable diseases, particularly overweight/obesity, which now present a critical public health concern. Therefore, this study seeks to examine spatiotemporal variations and determinants of overweight/obesity among women of reproductive age (WRA) in urban India and its states during 2005-2021.

METHODS

The study used 44,882, 171,443, and 135,272 WRA aged 15-49 from National Family Health Survey (NFHS)-3 (2005-06), NFHS-4 (2015-16), and NFHS-5 (2019-21), respectively. The outcome variable was overweight/obesity, defined as a Body Mass Index (BMI) of ≥ 25 kg/m2. Chi-squared test and multivariable logistic regression were used to identify the determinants of overweight/obesity.

RESULTS

Overweight/obesity prevalence among WRA in urban India has risen significantly, from 23% in 2005-06 to 33% in 2019-21. This increase is particularly pronounced among SC/ST women and women with lower educational levels. During the study period, overweight/obesity rates in different states exhibited varying increases, ranging from 3 percentage points (pp) in Rajasthan to 22 pp in Odisha. Certain southern (e.g., Tamil Nadu and Andhra Pradesh) and northeastern states saw a significant 15 pp or more increase. In contrast, several northern, central, and eastern states (e.g., Punjab, Haryana, Rajasthan, Madhya Pradesh, Chhattisgarh, Jharkhand, West Bengal) experienced relatively smaller increases ranging from 5 to 8 pp. As of 2019-21, two regions exhibited high prevalence rates of overweight/obesity, exceeding 35%: the southern region (Tamil Nadu, Andhra Pradesh, Kerala, and Karnataka) and the northern region (Punjab, Himachal Pradesh, Uttarakhand, and Haryana). In contrast, the Empowered Action Group states had relatively lower rates (25% or less) of overweight/obesity. Regression results showed that older women [AOR: 5.98, 95% CI: 5.71-6.27], those from the richest quintile [AOR: 4.23, 95% CI: 3.95-4.54], those living in south India [AOR: 1.77, 95% CI: 1.72-1.82], and those having diabetes [AOR: 1.92, 95% CI: 1.83-2.02] were more likely to be overweight/obese.

CONCLUSION

Considering the significant increase in overweight/obesity among urban WRA in India, along with substantial disparities across states and socioeconomic groups, it is imperative for the government to formulate state-specific strategies and policies based on determinants to effectively combat overweight/obesity.

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.

Quantification of Urbanization Using Night-Time Light Intensity in Relation to Women's Overnutrition in Bangladesh

Urbanization is accelerating in developing countries, which are simultaneously experiencing a rise in the prevalence of overnutrition (i.e., overweight and obesity), specifically among women. Since urbanization is a dynamic process, a continuous measure may better represent it when examining its association with overnutrition. However, most previous research has used a rural-urban dichotomy-based urbanization measure. This study utilized satellite-based night-time light intensity (NTLI) data to measure urbanization and evaluate its association with body weight in reproductive-aged (15-49) women in Bangladesh. Multilevel models estimated the association between residential area NTLI and women's body mass index (BMI) or overnutrition status using data from the latest Bangladesh Demographic and Health Survey (BDHS 2017-18). Higher area-level NTLI was associated with a higher BMI and increased odds of being overweight and obese in women. Living in areas with moderate NTL intensities was not linked with women's BMI measures, whereas living in areas with high NTL intensities was associated with a higher BMI or higher odds of being overweight and obese. The predictive nature of NTLI suggests that it could be used to study the relationship between urbanization and overnutrition prevalence in Bangladesh, though more longitudinal research is needed. This research emphasizes the necessity for preventive efforts to offset the expected public health implications of urbanization.

Impact of prepregnancy body mass index on adverse pregnancy outcomes: analysis from the Longitudinal Indian Family hEalth cohort study

BACKGROUND

Both high and low maternal prepregnancy body mass index can lead to suboptimal fetal growth and risk of pregnancy complications. In developed countries, nearly half of all women of childbearing age are either overweight or obese, and most data linking maternal body mass index and adverse pregnancy complications are limited to these populations.

OBJECTIVE

This study aimed to prospectively evaluate the relationships between prepregnancy body mass index and adverse pregnancy outcomes using the Longitudinal Indian Family hEalth (LIFE) study.

STUDY DESIGN

We modeled the relationships between prepregnancy body mass index and adverse pregnancy outcomes such as low birthweight, preterm birth, cesarean delivery, intrauterine growth restriction, miscarriage, and fetal death among 675 women aged 15 to 35 years with singleton pregnancies in the Longitudinal Indian Family hEalth study, a population-based prospective pregnancy cohort study conducted in Telangana, India. Prepregnancy body mass index was calculated as weight in kilograms divided by height in meters squared and was classified into 4 categories using the World Health Organization recommendations for Asian adults. Prepregnancy body mass index was assessed at a mean of 12.3 months before pregnancy. Odds ratios and 95% confidence intervals of adverse pregnancy outcomes were modeled and adjusted for confounders.

RESULTS

Obese women had a 3-fold increased risk of cesarean delivery (odds ratio, 3.13; 95% confidence interval, 1.56-6.29) compared with normal-weight women. Those who were overweight also had a marginally increased risk of cesarean delivery, albeit not statistically significant (odds ratio, 1.17; 95% confidence interval, 0.61-2.24). Underweight women had a modestly increased risk of low birthweight, compared with normal-weight women (odds ratio, 1.12; 95% confidence interval, 0.71-1.77), although results were not significant. Conversely, obese (odds ratio, 0.71; 95% confidence interval, 0.28-1.77) and overweight (odds ratio, 0.61; 95% confidence interval, 0.24-1.51) women had a marginally decreased risk of low birthweight.

CONCLUSION

Our data suggest that women with elevated prepregnancy body mass index may have a higher risk of adverse pregnancy outcomes, especially cesarean delivery. Although this study has limited generalizability, our findings are generalizable to rural to periurban regions of India. Further studies exploring the translatability of these findings to other populations are needed. In addition, targeted prepregnancy intervention studies and programs that include counseling on optimization of preconception health and lifestyle modification for improvement of subsequent pregnancy outcomes among overweight and obese women are needed.