Is Socioeconomic Inequality Boosting Intimate Partner Violence in India? An Overview of the National Family Health Survey, 2005–2006 and 2015–2016

Chaurasia, Himanshu; Debnath, Paramita; Srivastava, Shobhit; Purkayastha, Naina

doi:10.1007/s40609-021-00215-6

Cited by 15 publications

(19 citation statements)

References 52 publications

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“…On the y-axis, the cumulative proportion of outcome variables (cognitive impairment) is plotted against the increasing percentage of the population ranked by the socioeconomic indicator (wealth index) on the x-axis to generate the concentration curve [ 38 ]. Such curves show whether or not socioeconomic inequality in the outcome variable (on the x-axis) prevails, with the index value being negative if the curve is above the line of equality (45-degree line), indicating that the outcome variable is disproportionally concentrated among the poor, and vice versa [ 39 , 40 ]. The concentration index (CCI) and the concentration curve (CC) were used to quantify wealth-related inequality for cognitive impairment, using the wealth score as the socioeconomic indicator and the binary outcome as cognitive impairment.…”

Section: Methodsmentioning

confidence: 99%

“…The concentration index (CCI) and the concentration curve (CC) were used to quantify wealth-related inequality for cognitive impairment, using the wealth score as the socioeconomic indicator and the binary outcome as cognitive impairment. The concentration index is the area between the concentration curve and the line of equality multiplied by two [ 39 , 40 ]. The concentration index compares the distribution of one variable (say, cognitive impairment) to another variable’s distribution (wealth index).…”

Section: Methodsmentioning

confidence: 99%

“…The index runs from − 1 to + 1, with 0 (zero) indicating no socioeconomic disparities. The index’s positive score, on the other hand, indicates pro-rich inequality and vice versa [ 39 , 40 ]. Furthermore, the higher the value on either scale the greater the degree of socioeconomic inequality.…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, the higher the value on either scale the greater the degree of socioeconomic inequality. The concentration index was decomposed using Wagstaff decomposition methodology [ 39 , 40 ]. The breakdown of the concentration index by Wagstaff illustrates that the wealth-related inequalities may be dissected into the contributions of each element [ 41 ].…”

Section: Methodsmentioning

confidence: 99%

“…[ 2 ] shows that C is equal to a weighted sum of the concentration indices of the k regressor, where the weight for x k is the elasticity of y with respect to x k . The last term captures the socioeconomic inequality in health that is not explained by systematic variation in the regressor by wealth, which should approach zero for a well-specified model [ 39 , 40 ]. The elasticity of each contribution is multiplied by the degree of economic disparity.…”

Section: Methodsmentioning

confidence: 99%

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Assessing socioeconomic inequalities in cognitive impairment among older adults: a study based on a cross-sectional survey in India

2022

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Background The rapidly aging population is a major concern for countries, especially where cognitive health in older age is poor. The study examined the socioeconomic and health-related factors associated with cognitive impairment among older adults and the contribution of those factors to the concentration of low cognitive functioning among older adults from economically poor households. Methods Data this study were derived from the “Building Knowledge Base on Population Ageing in India” (BKPAI) survey, which was carried out in seven major states of India. The effective sample size for the analysis was 9176 older adults aged 60 years and above. Results from descriptive and bivariate analysis were reported in the initial stage. Multivariable logistic regression analysis was conducted to explore the associations. Additionally, the concentration index and concentration curve were used to measure socioeconomic inequality in cognitive impairment among older adults. Wagstaff decomposition was employed to explore the key contributors in the concentration index. Results Nearly 60% of older adults suffered from cognitive impairment in the study. The likelihood of cognitive impairment were higher among older adults with a low level of self-perceived income sufficiency [coefficient: 0.29; confidence interval (CI): 0.07- 0.52] compared to older adults with higher levels of perceived income status. Older adults with more than 10 years of schooling were less likely to be cognitively impaired [coefficient: -1.27; CI: − 1.50- -1.04] in comparison to those with no education. Cognitive impairment was concentrated among older adults from households with the lowest wealth quintile (concentration index (CCI): − 0.10: p < 0.05). Educational status explained 44.6% of socioeconomic inequality, followed by 31.8% by wealth status and 11.5% by psychological health. Apart from these factors, difficulty in instrumental activities of daily living (3.7%), caste (3.7%), and perceived income sufficiency to fulfil basic needs (3.0%) explained socioeconomic inequality in cognitive impairment among older adults. Conclusions Findings suggest that older adults with lower perceived income, lower levels of education, poor physical and mental health, and poor physical and social resources were more likely to be cognitively impaired. Education, wealth and psychological health are major contributors in socioeconomic inequality in late-life cognitive impairment, which may be target areas in future policy formulation to reduce the inequality in cognitive impairment in older Indian adults.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 3 more Smart Citations

Assessing socioeconomic inequalities in cognitive impairment among older adults: a study based on a cross-sectional survey in India

2022

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Mediation Effect of Depression, Alcohol Consumption, and Household Food Insecurity to Intimate Partner Violence in Rural Counterparts of Dakshin Dinajpur District, West Bengal

Das,

Roy

2024

Glob Soc Welf

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A model-based boosting approach to risk factors for physical intimate partner violence against women and girls in Mexico

Torres Munguía

2024

J Comput Soc Sc

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The goal of this study was to identify and describe the extent to which a comprehensive set of risk factors from the ecological model are associated with physical intimate partner violence (IPV) victimization in Mexico. To achieve this goal, a structured additive probit model is applied to a dataset of 35,000 observations and 42 theoretical correlates from 10 data sources. Due to the model's high dimensionality, the boosting algorithm is used for estimating and simultaneously performing variable selection and model choice. The findings indicate that age at sexual initiation and marriage, sexual and professional autonomy, social connectedness, household overcrowding, housework division, women's political participation, and geographical space are associated with physical IPV. The findings provide evidence of risk factors that were previously unknown in Mexico or were solely based on theoretical grounds without empirical testing. Specifically, this paper makes three key contributions. First, by examining the individual and relationship levels, it was possible to identify high-risk population subgroups that are often overlooked, such as women who experienced sexual initiation during childhood and women living in overcrowded families. Second, the inclusion of community factors enabled the identification of the importance of promoting women's political participation. Finally, the introduction of several emerging indicators allowed to examine the experiences faced by women in various aspects of life, such as decision-making power, social networks, and the division of housework.

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Is Socioeconomic Inequality Boosting Intimate Partner Violence in India? An Overview of the National Family Health Survey, 2005–2006 and 2015–2016

Cited by 15 publications

References 52 publications

Assessing socioeconomic inequalities in cognitive impairment among older adults: a study based on a cross-sectional survey in India

Assessing socioeconomic inequalities in cognitive impairment among older adults: a study based on a cross-sectional survey in India

Mediation Effect of Depression, Alcohol Consumption, and Household Food Insecurity to Intimate Partner Violence in Rural Counterparts of Dakshin Dinajpur District, West Bengal

A model-based boosting approach to risk factors for physical intimate partner violence against women and girls in Mexico

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