Socioeconomic and Cultural Differentials of Contraceptive Usage in West Bengal

Haque, Ismail; Patel, Priyank Pravin

doi:10.1177/0363199015572753

Cited by 12 publications

(10 citation statements)

References 20 publications

(21 reference statements)

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“…These results are mostly in line with recent studies on contraceptive preferences in India (e.g. McNay et al (2003), Husain et al (2013), Rai and Unisa (2013), , De , Ram et al (2014), Mishra et al (2014) and Haque and Patel (2015)). However, as already discussed in Sections 1 and 2, our model provides a more global and flexible overview which is motivated by current family planning policies in India and avoids focusing only on specific aspects of contraceptive preferences in India.…”

Section: Interpretation Of the Resultssupporting

confidence: 90%

“…(), Mishra et al . () and Haque and Patel ()). However, as already discussed in Sections 1 and 2, our model provides a more global and flexible overview which is motivated by current family planning policies in India and avoids focusing only on specific aspects of contraceptive preferences in India.…”

Section: Sociodemographic Determinants Underlying the Contraceptive Cmentioning

confidence: 93%

“…Alkema et al (2013)), and several analyses focus directly on this binary comparison, pooling the different contraceptive methods (e.g. McNay et al (2003), Dharmalingam and Morgan (2004), De and Haque and Patel (2015)).…”

Section: Model Formulation Via Sequential Bernoulli Choicesmentioning

confidence: 99%

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Bayesian Semiparametric Modelling of Contraceptive Behaviour in India Via Sequential Logistic Regressions

Rigon

Durante

Torelli

2018

Journal of the Royal Statistical Society Series A: Statistics in Society

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Summary Family planning has been characterized by highly different strategic programmes in India, including method‐specific contraceptive targets, coercive sterilization and more recent target‐free approaches. These major changes in family planning policies over time have motivated considerable interest towards assessing the effectiveness of the different planning programmes. Current studies mainly focus on the factors driving the choice among specific subsets of contraceptives, such as a preference for alternative methods other than sterilization. Although this restricted focus produces key insights, it fails to provide a global overview of the different policies, and of the determinants underlying the choices from the entire range of contraceptive methods. Motivated by this consideration, we propose a Bayesian semiparametric model relying on a reparameterization of the multinomial probability mass function via a set of conditional Bernoulli choices. This binary decision tree is defined to be consistent with the current family planning policies in India, and coherent with a reasonable process characterizing the choice between increasingly nested subsets of contraceptive methods. The model allows a subset of covariates to enter the predictor via Bayesian penalized splines and exploits mixture models to represent uncertainty in the distribution of the state‐specific random effects flexibly. This combination of flexible and careful reparameterizations allows a broader and interpretable overview of the policies and contraceptive preferences in India.

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Section: Interpretation Of the Resultssupporting

confidence: 90%

Section: Sociodemographic Determinants Underlying the Contraceptive Cmentioning

confidence: 93%

See 1 more Smart Citation

Bayesian Semiparametric Modelling of Contraceptive Behaviour in India Via Sequential Logistic Regressions

Rigon

Durante

Torelli

2018

Journal of the Royal Statistical Society Series A: Statistics in Society

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“…In our study, married women who either read the newspaper, listened to radio or watched television for at least once a week were more likely to utilize modern contraceptive methods than women with no media exposure. Previous studies in Senegal and West Bengal (36,37), showed similar ndings. Mass media is a key strategy for increasing demand for use in health services (38).…”

Section: Discussionsupporting

confidence: 81%

Predictors of Modern Contraceptive Use Among Married Women in Angola: A Population Based Study

Zegeye

Garedew

Negash

et al. 2020

Preprint

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Background: Maternal mortality is unacceptability high in Sub-Saharan-African countries including Angola. Despite family planning is one of the vital intervention to reduce maternal death, the coverage of modern contraceptive use in Angola is extremely low and there is a paucity of evidence regarding current factors associated with contraceptive use in Angola. Therefore, this study aimed at investigating predictors of contraceptive use among married women in Angola using nationally representative data.Methods: The data were extracted from 2015/16 Angola Multiple Indicator and Health Survey for this study and approximately 8,033 married women aged 15 - 49 years were participated. Bivariate and multivariate logistic regression were performed using STATA version 14 software to identify the predictors, and p-value less than 0.05 was considered as statistically significant.Results: The coverage of modern contraceptive use among married women was 8.9%. Maternal age, women’s educational level, maternal occupation, place of residence, media exposure, number of living children, desire for more children and subnational region were main predictors for modern contraceptive use.Conclusion: Modern contraceptive use among married women in Angola was very low. Married women who were educated, wealthiest, exposed for media, who had living children, interested to have child after 2 years and those who were not interested to have at all were more likely to use contraceptive. Therefore, the government of Angola and other concerned bodies need to emphasize in empowering women through education and economy as well as dissemination of contraceptive related information through media especially for women’s living in rural settings.

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“…The difference in socioeconomic status among such caste-based groups can also influence their access to health care and nutrition, consequently resulting in differing fertility rates (Planning Commission, 2008, based on NFHS-3 data of 2005-06). Attitudes regarding contraceptive practices and better living standards (by accepting smaller family ideals) have been much influenced by mass media and greater degrees of social interaction (diffusion process) (Haque & Patel, 2015), as evident in Andhra Pradesh, which attained low fertility in the 1990s despite having higher mortality and lower literacy rates than the national average (James, 1999;Kulkarni, 2011;Brahmanandam & Arokiasamy, 2016), notwithstanding the expected 'threshold socioeconomic effects' (Jain, 1981), before this media influence could become operative. The above observations allowed the framing of some hypotheses, as follows: H1: While economic development would usually result in fertility decline, this would not be the case always as in some locales affluent parents would prefer to have more children, being better able to bear the costs of childbearing/childrearing (possibly assuming children to be a source of economic security).…”

Section: Introductionmentioning

confidence: 99%

Reading the geography of India’s district-level fertility differentials: a spatial econometric approach

2019

Self Cite

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India has gradually progressed into fertility transition over the last few decades. However, the timing and pace of this transition has varied notably in terms of both its geography and the demographic groups most affected by it. While much literature exists on the relationships between fertility level and its influence on demographic, economic, socio-cultural and policy-related factors, the potential spatial variations in the effects of these factors on the fertility level remain unaddressed. Using the most recent district-level census data (of 2011) for India, this nationwide study has identified plausible spatial dependencies and heterogeneities in the relationships between the district-wise Total Fertility Rates (TFRs) and their respective demographic, socioeconomic and cultural factors. After developing a geocoded database for 621 districts of India, spatial regression and Geographically Weighted Regression (GWR) models were used to decipher location-based relationships between the district-level TFR and its driving forces. The results revealed that the relationships between the district-level TFR and the considered selected predictors (percentage of Muslims, urbanization, caste group, female mean age at marriage, female education, females in the labour force, net migration, sex ratio at birth and exposure to mass media) were not spatially invariant in terms of their respective strength, magnitude and direction, and furthermore, these relationships were conspicuously place- and context-specific. This study suggests that such locality-based variations and their complexities cannot be explained simply by a single narrative of either socioeconomic advancement or government policy interventions. It therefore contributes to the ongoing debate on fertility research in India by highlighting the spatial dependence and heterogeneity of the impacts made by demographic, socioeconomic and cultural factors on local fertility levels. From a methodological perspective, the study also discerns that the GWR local model performs better, in terms of both model performance and prediction accuracy, compared with the conventional global model estimates.

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Socioeconomic and Cultural Differentials of Contraceptive Usage in West Bengal

Cited by 12 publications

References 20 publications

Bayesian Semiparametric Modelling of Contraceptive Behaviour in India Via Sequential Logistic Regressions

Bayesian Semiparametric Modelling of Contraceptive Behaviour in India Via Sequential Logistic Regressions

Predictors of Modern Contraceptive Use Among Married Women in Angola: A Population Based Study

Reading the geography of India’s district-level fertility differentials: a spatial econometric approach

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