Determinants of nutritional status among scheduled tribe women in India

Biswas, Sourav; Kumar‐Sinha, Chandan; Singh, Nirmal; Malla, Venkata Raja; Pal, Anil Kumar

doi:10.1016/j.cegh.2022.101119

Cited by 7 publications

(6 citation statements)

References 20 publications

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“…The results indicate that women from the southern region face a greater risk of overweight/obesity. This observation is consistent with findings reported in prior studies [ 6 , 35 , 47 , 50 , 66 – 68 ]. It is worth noting that these states are generally more developed, affluent, and further along in demographic and epidemiological transitions compared to other Indian [ 8 , 69 , 70 ].…”

Section: Discussionsupporting

confidence: 94%

“…These lifestyle factors collectively contribute to an elevated risk of overweight/obesity among women in urban India [ 38 , 47 , 64 ]. In our study, ST women were less likely to be overweight/obese compared to women of other social groups, a trend consistent with prior Indian research [ 38 , 47 , 50 , 64 , 66 ]. This phenomenon may be attributed to a combination of factors prevalence among ST women, including economic disadvantages, traditional dietary patterns that are less calorie-dense, higher levels of physical activity due to manual labor or agricultural practices, cultural norms promoting healthier lifestyles, and potential genetic variations [ 38 , 64 , 66 ].…”

Section: Discussionsupporting

confidence: 92%

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

Singh,

Let,

Tiwari

et al. 2023

BMC Public Health

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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.

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Section: Discussionsupporting

confidence: 94%

Section: Discussionsupporting

confidence: 92%

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

Singh,

Let,

Tiwari

et al. 2023

BMC Public Health

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“…The results of the present study are consistent with the findings of earlier studies that have investigated the nutritional status of SC and ST women in India. For instance, Biswas et al (2022), Haregu et al (2018), Nie (2021), and Rout (2009) have highlighted the impact of socio-demographic factors such as religion, place of residence, wealth index, age group, education, marital status, parity, and family size on the nutritional status of women in India [ 22 – 25 ]. Similarly, Kanguru et al (2017) have identified cultural and social values regarding diet and care during and after pregnancy as important factors that contribute to weight gain in women [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

Marginalised social groups differentials in nutritional status (BMI) among reproductive-aged women in West Bengal

2023

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Background SCs and STs, historically marginalized communities in India, have been subjected to social and economic discrimination for centuries. Despite affirmative action policies, these communities face systemic discrimination and exclusion in various aspects of their lives. Poor health conditions among SC and ST women are caused by insufficient consumption of nutritious food, leading to undernutrition and related health issues. To address gaps in the literature regarding the nutritional status of these women, this study aims to compare the BMI of SC and ST women in West Bengal and investigate the factors affecting their BMI. The study's findings can inform targeted interventions to improve the nutritional status of SC and ST women in West Bengal and reduce disparities in their health outcomes. Materials and methods This study analyzed data from the National Family Health Survey (NFHS-5) to examine the distribution of underweight and non-underweight SC and ST women in West Bengal. The sample included 5,961 non-pregnant reproductive-aged SC women and 1,496 non-pregnant reproductive-aged ST women. A binary logistic regression model was used to determine how background characteristics affect the nutritional status (BMI) of respondents, while a multivariate decomposition analysis was conducted to identify the covariates contributing to the nutritional status difference between SC and ST women. QGIS 2.18.25 software was utilized to map the spatial distribution of underweight and non-underweight SC and ST reproductive-aged women. Results This study examines the nutritional status and differential background characteristics among SC and ST women in West Bengal, India. Results show that undernutrition affects the ST population more than the SC population, with age, marital status, religion, place of residence, educational status, and wealth quintile being significant factors affecting nutritional status. Food and dietary habits also impact nutritional status, with milk or curd, pulses or beans, dark green leafy vegetables, eggs, and fish being associated with lower rates of underweight. Binary logistic regression analysis reveals significant associations between socio-demographic factors and underweight status among SC and ST women. Socio-demographic factors were found to be the major contributors to the gap between SC and ST women, followed by food and dietary factors. The study highlights the need for targeted interventions to improve the nutritional status of marginalized communities like SC and ST women in West Bengal. Conclusion The study highlights a significant population suffering from underweight in West Bengal, with socio-economic factors and dietary habits significantly contributing to the nutritional gap between SC and ST reproductive-aged women. Policy implications suggest targeted interventions to improve access to education and employment opportunities and promote a healthy and balanced diet to reduce the gap. Future studies could explore vulnerability risks of these domains.

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“…650000 per annum. Biswas et al [28] report that wealth quantile shows the maximum impact on nutritional health among women.…”

Section: Annual Incomementioning

confidence: 99%

Nutritional Status and Socio-Economic Profile of Farm Women in Aspirational Districts of Tamil Nadu

Dominic

Niranjan

Meena

et al. 2023

AJAEES

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Aim: “Women in agriculture” is a widely discussed arena but nutrition of women in agriculture is yet to be explored thoroughly. The current paper focuses on farm women in aspirational districts. These are the districts identified by NITI Aayog which are the poorly performing in a state in various developmental dimensions. Hence, the current paper aims at understanding the nutritional status and socio- economic profile of farm women in these districts assuming their higher vulnerability to malnutrition. Study Design: Survey design was used for the current study. Place and Duration of Study: The study was conducted in Tamil Nadu from 2018 -2022 as part of PhD research work, affiliated to National Dairy Research Institute. Methods: Virudhunagar and Ramanathapuram are the two districts identified as aspirational districts in Tamil Nadu. From each district, two blocks were randomly selected. Two villages were selected from each block randomly and 10 farm women from households having at least 2 milch animals and cultivating for atleast on crop season were selected from each village purposively. Hence a total of 8 villages and 180 farm women of reproductive age (18-49yrs) were included in the sample. Mean dietary diversity Score and Body Mass Index were taken as indicators for nutritional status of farm women. Results: It was found that a 49.44% of the farm women had only 4 food groups in the last 24 hours followed by 28.89 percent with 5 to 6 food groups and 21.67 percent with 7 to 10 food groups. Only 41.67 percent of the respondents had BMI in the normal range. Around 30 percent of the farm women were underweight, 20 percent were overweight and 8 percent of them were obese. The results call for immediate attention and interventions for ensuring nutritional security of farm women in general and aspirational districts in particular.

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Determinants of nutritional status among scheduled tribe women in India

Cited by 7 publications

References 20 publications

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

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

Marginalised social groups differentials in nutritional status (BMI) among reproductive-aged women in West Bengal

Nutritional Status and Socio-Economic Profile of Farm Women in Aspirational Districts of Tamil Nadu

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