He Has Gone to a Better Place, but She Has Not: Health Status of Hindu Widows in India

Agrawal, Ayush; Lalji, Chitwan; Pakrashi, Debayan

doi:10.1080/00220388.2020.1802008

Cited by 5 publications

(8 citation statements)

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“…It is often used in combination with other analyses and complementary indicators to gain a more comprehensive understanding of socioeconomic inequalities in health. d). Logit model: A logit model, also known as a logistic regression model, is a statistical technique used for modelling the relationship between a binary outcome variable and one or more predictor variables (Cox, 1958). It is particularly useful when there is a need to predict the probability of an event occurring, given certain input variables.…”

Section: S1 Details Of Methods and Measures Used In The Studymentioning

confidence: 99%

“…This probability reflects the likelihood of the event occurring given the predictor values, which is the outcome of being underweight among women of reproductive age in this study.The formula for logistic regression relates the probability of a binary outcome to a linear combination of predictor variables using the logistic function (also known as the sigmoid function). The logistic regression equation can be expressed as follows:Where:P(Y=1) is the probability of the binary outcome of women being underweight.β0,β1,...,βp are the coefficients of the logistic regression model.X1,X2,…,Xp are the values of the predictor variables.The logistic function, represented by 11+e−z , transforms the linear combination of the predictor variables and their coefficients z=(β0+β1X1+β2X2+β3X3+...+βpXp) into a value between 0 and 1, which can be interpreted as a probability (Cox, 1958). e).…”

Section: S1 Details Of Methods and Measures Used In The Studymentioning

confidence: 99%

“…The logistic function, represented by 11+e−z , transforms the linear combination of the predictor variables and their coefficients z=(β0+β1X1+β2X2+β3X3+...+βpXp) into a value between 0 and 1, which can be interpreted as a probability (Cox, 1958).…”

Section: S1 Details Of Methods and Measures Used In The Studymentioning

confidence: 99%

“…However, fulfilling these diverse roles often negatively affects their own nutritional levels, as they prioritize the household's nutritional status over their own. The burden of inadequate nutrition within a household often falls on women, as male members, often being the primary breadwinners, are given priority in sustenance to ensure they remain fit for work (Agarwal and Pakrashi, 2020). Women of reproductive age face additional nutritional vulnerabilities due to menstruation, pregnancy, the post-natal period and breastfeeding.…”

Section: Introductionmentioning

confidence: 99%

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Trends and socioeconomic disparities in undernutrition among Muslim women in India: evidence from the last two decades (1998–2021)

Hashmi,

Singh

2023

IJSE

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PurposeA woman's nutritional status significantly determines her overall well-being. The authors critically examine the trends — including socioeconomic disparities — in undernutrition among Muslim women in India, a notably socio-economically disadvantaged group. The authors also investigate trends and variations across the dimensions of caste, place of residence (rural/urban), education, economic status and geographic regions.Design/methodology/approachThe analysis leverages the nationally representative National Family Health Surveys (NFHS) of India conducted between 1998 and 2021. The authors examined poor–rich ratios, concentration indices, disparity ratios and predicted probabilities of being underweight (captured using Body Mass Index).FindingsFrom 1998 to 2021, there has been a decline in undernutrition prevalence among Muslim women. However, stark socioeconomic variations persist. While the prevalence has decreased over time across all socioeconomic groups, disparities — both within and between groups — remain significant and, in many cases, have expanded. For certain socioeconomic subgroups (e.g. Muslim women with no formal education or those in the Central and Northeast regions), the disparity doubled between 1998 and 2021. In regions like the South, where undernutrition prevalence is low or has reduced, disparities remain significant and generally have increased.Originality/valueTo the authors’ knowledge, the study is the first to provide a comprehensive examination of the prevalence, trends and socioeconomic disparities in undernutrition among Muslim women in India over the past two decades.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0320

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Section: S1 Details Of Methods and Measures Used In The Studymentioning

confidence: 99%

Section: S1 Details Of Methods and Measures Used In The Studymentioning

confidence: 99%

Section: S1 Details Of Methods and Measures Used In The Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Trends and socioeconomic disparities in undernutrition among Muslim women in India: evidence from the last two decades (1998–2021)

Hashmi,

Singh

2023

IJSE

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“…With 7.4% of Indian women widowed, a significant portion of the Indian female population may be vulnerable to the heightened mortality risk associated with widowhood. Recent literature has explored widowhood effects on employment (Reed 2020) and health (Agrawal et al 2020;Prasad et al 2021) in India. However, due to data limitations, the effect of widowhood on mortality, a first order human development priority, has not yet been quantified.…”

Section: Introductionmentioning

confidence: 99%

Widow and Widower Mortality in India

Hossain,

Reed,

Gupta

et al. 2023

Preprint

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Widowhood has been shown to be associated with elevated mortality risk in a number of contexts. This is the first study to quantify the mortality risk associated with widowhood for men and women in India. We do so by using data on individuals interviewed in the first wave of the India Human Development Survey (2004-5), whose survival status was observed seven years later in wave 2 of the survey. Accounting for differences in age, socioeconomic status, and residence type explains the higher risk of mortality for both widowed women and men aged 60 and above, but not for those aged 25 to 59. Despite the unique vulnerabilities experienced by Indian widows, we find that the risk of mortality for widowed women compared to married women is slightly lower than the mortality risk for widowed men compared to married men in the 25-59 age group. In this age group, we also document a survival disadvantage for widows exposed to conservative and less egalitarian gender norms, and for less educated widowers. These findings suggest that despite India’s similarity to other contexts with survival disadvantages for both widowed men and women, unequal gender norms still shape life chances for Indian widows.

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Mother’s widowhood and children’s education: Evidence from India

Pragati,

Thakur

2023

Economics Letters

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He Has Gone to a Better Place, but She Has Not: Health Status of Hindu Widows in India

Cited by 5 publications

References 57 publications

Trends and socioeconomic disparities in undernutrition among Muslim women in India: evidence from the last two decades (1998–2021)

Trends and socioeconomic disparities in undernutrition among Muslim women in India: evidence from the last two decades (1998–2021)

Widow and Widower Mortality in India

Mother’s widowhood and children’s education: Evidence from India

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