Social Infrastructure and Women's Undernutrition
In: "Social Infrastructure and Women's Undernutrition" Economic and Political Weekly, Band 45, Heft 13 (March 27-April 2)
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In: "Social Infrastructure and Women's Undernutrition" Economic and Political Weekly, Band 45, Heft 13 (March 27-April 2)
SSRN
In: Jose, Sunny and K. Navaneetham (2008) "A Factsheet on Women's Malnutrition in India", Economic and Political Weekly, Vol. 43, No. 33 (August 16-22), pp. 61-67
SSRN
In: Journal of biosocial science: JBS, Band 49, Heft S1, S. S156-S171
ISSN: 1469-7599
SummaryUsing data from India's first (1992–93) and third (2005–06) National Family Health Surveys (NFHS-I and NFHS-III) this study examined the fertility differentials between major social groups and the extent to which these varied between states and over time. The analysis was based on a sample of 54,030 and 55,369 currently married women aged 15–34 in the NFHS-I and NFHS-III respectively. Reported parity and desired family size were used to assess variations in fertility behaviour. The results show that interstate variation in childbearing patterns within social groups was at least as high as, if not higher than, variation between states (net of other influences) in both periods, 1992–93 and 2005–06. The variations among Hindus, the poor and Muslims were more noticeable than for other groups. These variations did not decline between 1992–93 and 2005–06 and may have even increased slightly for some groups. Further, there was no consistent north–south divide in either fertility behaviour or desired family size. Together, these results may point to the gradual disappearance of the influences that were once unique to southern or northern India, and the simultaneous emergence of social, political, economic and cultural forces that are pan-Indian in their reach.
In: Journal of biosocial science: JBS, Band 50, Heft 2, S. 212-226
ISSN: 1469-7599
SummarySeveral studies report that women exposed to intimate partner violence (IPV) are less likely to use contraception, but the evidence that violence consistently constrains contraceptive use is inconclusive. One plausible explanation for this ambiguity is that the effects of violence on contraceptive use depend on whether couples are likely to have conflicting attitudes to it. In particular, although some men may engage in violence to prevent their partners from using contraception, they are only likely to do so if they have reason to oppose its use. Using a longitudinal follow-up to the Indian National Family Health Survey (NFHS-2), conducted among a sample of rural, married women of childbearing age, this study investigated whether the relationship between IPV and contraceptive use is contingent on whether women's contraceptive intentions contradict men's fertility preferences. Results indicate that women experiencing IPV are less likely to undergo sterilization, but only if they intended to use contraception and their partners wanted more children (Average Marginal Effect (AME)=−0.06; CI=−0.10, −0.01). Violence had no effect on sterilization among women who did not plan to use contraception (AME=−0.02; CI=−0.06, 0.03) or whose spouses did not want more children (AME=−0.01; CI=−0.9, 0.06). These results imply that violence enables some men to resolve disagreements over the use of contraception by imposing their fertility preferences on their partners. They also indicate that unmet need for contraception could be an intended consequence of violence.
Social vulnerability to natural hazards has become a topical issue in the face of climate change. For disaster risk reduction strategies to be effective, prior assessments of social vulnerability have to be undertaken. This study applies the household social vulnerability methodology to measure social vulnerability to natural hazards in Botswana. A total of 11 indicators were used to develop the District Social Vulnerability Index (DSVI). Literature informed the selection of indicators constituting the model. The principal component analysis (PCA) method was used to calculate indicators' weights. The results of this study reveal that social vulnerability is mainly driven by size of household, disability, level of education, age, people receiving social security, employment status, households status and levels of poverty, in that order. The spatial distribution of DSVI scores shows that Ngamiland West, Kweneng West and Central Tutume are highly socially vulnerable. A correlation analysis was run between DSVI scores and the number of households affected by floods, showing a positive linear correlation. The government, non-governmental organisations and the private sector should appreciate that social vulnerability is differentiated, and intervention programmes should take cognisance of this.
BASE
In: Journal of biosocial science: JBS, Band 54, Heft 6, S. 1067-1077
ISSN: 1469-7599
AbstractThe aim of this study was to assess gender differences in the prevalence non-communicable diseases (NCDs) and in associated health-related habits, weight status and common risk factors in Botswana. Data were from the cross-sectional, population-based Botswana STEPS Survey II conducted in 2014. A total sample of 2947 survey participants aged 25–64 years were included the study. The results showed that a statistically significant higher percentage of men used tobacco compared with women (34.4%, 95% CI: 33.5–35.1 vs 4.4%, 95% CI: 4.3–4.5). Men also had consistently and statistically significantly greater heavy alcohol consumption and lower fruit and/or vegetable consumption than women. Physical inactivity among women was higher than in men. Controlling for other factors, men had a higher probability of being overweight (28.7%, 95% CI: 28.6–28.8 vs 18.3%, 95% CI: 18.0–18.6) and obese (25.8%, 95% CI: 25.4–26.2 vs 10.2%, 95% CI: 9.9–10.5) than women. Women were at a greater risk of developing NCDs compared with men since their adjusted prevalence of having at least three common risk factors was higher than men's. Women had a higher adjusted predicted prevalence of suffering from hypertension than men (39.4%, 95% CI: 38.9–40.0 vs 26.1%, 95% CI: 25.5–26.8). Appropriate policies and programmes need to be adopted to urgently address the problem of NCDs in Botswana.