Demographic Study of Gujjars of Delhi: VI. Factors Affecting Fertility, Infant Mortality and Use of BCM

Dabral, Shweta; Malik, S.L.

doi:10.1080/09709274.2005.11905761

Cited by 5 publications

(5 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Educated mothers will be well informed about factors such as antenatal care, family planning and others that will lead to a reduction of child mortality. Similar results were obtained from previous studies [38][39][40].…”

Section: Discussionsupporting

confidence: 92%

Bayesian zero-inflated regression model with application to under-five child mortality

Workie

Azene

2021

J Big Data

View full text Add to dashboard Cite

Under-five mortality is defined as the likelihood of a child born alive to die between birth and fifth birthday. Mortality of under the age of five has been the most targets of public health policies and may be a common indicator of mortality levels. Thus, this study aimed to assess the under-five child mortality and modeling Bayesian zero-inflated regression model of the determinants of under-five child mortality. A community-based cross-sectional study was conducted using the 2016 Ethiopia Demographic and Health Survey data. The sample was stratified and selected in a two-stage cluster sampling design. The Bayesian analytic approach was applied to model the mixture arrangement inherent in zero-inflated count data by using the negative Binomial–logit hurdle model. About 71.09% of the mothers had not faced any under-five deaths in their lifetime while 28.91% of the women experienced the death of their under-five children and the data were found to have excess zeros. From Bayesian Negative Binomial—logit hurdle model it was found that twin (OR = 1.56; HPD CrI 1.23, 1.94), Primary and Secondary education (OR = 0.68; HPD CrI 0.59, 0.79), mother’s age at the first birth: 16–25 (OR = 0.83; HPD CrI 0.75, 0.92) and ≥ 26 (OR = 0.71; HPD CrI 0.52, 0.95), using contraceptive method (OR = 0.73; HPD CrI 0.64, 0.84) and antenatal visits during pregnancy (OR = 0.83; HPD CrI 0.75, 0.92) were statistically associated with the number of non-zero under-five deaths in Ethiopia. The finding from the Bayesian Negative Binomial–logit hurdle model is getting popular in data analysis than the Negative Binomial–logit hurdle model because the technique is more robust and precise. Furthermore, Using the Bayesian Negative Binomial–logit hurdle model helps in selecting the most significant factor: mother’s education, Mothers age, Birth order, type of birth, mother’s age at the first birth, using a contraceptive method, and antenatal visits during pregnancy were the most important determinants of under-five child mortality.

show abstract

Section: Discussionsupporting

confidence: 92%

Bayesian zero-inflated regression model with application to under-five child mortality

Workie

Azene

2021

J Big Data

View full text Add to dashboard Cite

show abstract

“…(2) However, we observed very few educated couples using contraceptives. Frank found that women with PCOS were concomitant with increased risk of infertility.…”

Section: Discussionmentioning

confidence: 90%

“…Biological and social factors including stress due to economic status, religious attitudes, age of marriage, urbanization leading to modernization, higher literacy, contraceptive usage and nuclear families play a significant role in lowering fertility. ( 2 )…”

Section: Introductionmentioning

confidence: 99%

Primary report on the risk factors affecting female infertility in South Indian districts of Tamil Nadu and Kerala

Shamila

Sasikala

2011

Indian J Community Med

View full text Add to dashboard Cite

“…[21][22][23][24][25] Accordingly, in India, there has been a considerable increase in the governmental and nongovernmental activities for promoting the adoption of family planning measures through widespread and intensified awareness campaigns as well as clinical services being made available to the users of family planning methods. 26 Adult literacy programs have also been fairly successful in promoting contraceptive use. 27 An enhanced decision to use contraception is also significantly triggered due to motivation from a provider, friends, and spousal communication.…”

Section: Literature Reviewmentioning

confidence: 99%

Socioeconomic and Cultural Differentials of Contraceptive Usage in West Bengal

Haque

Patel

2015

Journal of Family History

View full text Add to dashboard Cite

Contraception, the prevention of pregnancy through temporary or permanent means, can act as an effective instrument for achieving population stabilization in any region. This study deals with the socioeconomic and cultural differentials influencing contraceptive use among presently married women aged between 20 and 49 years currently in the state of West Bengal, India, as discerned from National Family Health Survey (NFHS)-3 (2005)(2006) data. To examine the above, simple percentage distribution, cross tabulation, and binary logistic regression analysis have been employed to the available NFHS-3 data for select socioeconomic and cultural variables. The fundamental findings of the current study were that among the various socioeconomic and cultural factors, the most important ones that persuaded contraceptive use and choices among women were their number of living children, wealth index, media exposure, and degree of women empowerment. Results from the logistic regression analysis further reveals that the influence of women's educational level on contraceptive use remains highly significant even after factoring in other socioeconomic and cultural variables.

show abstract

Demographic Study of Gujjars of Delhi: VI. Factors Affecting Fertility, Infant Mortality and Use of BCM

Cited by 5 publications

References 24 publications

Bayesian zero-inflated regression model with application to under-five child mortality

Bayesian zero-inflated regression model with application to under-five child mortality

Primary report on the risk factors affecting female infertility in South Indian districts of Tamil Nadu and Kerala

Socioeconomic and Cultural Differentials of Contraceptive Usage in West Bengal

Contact Info

Product

Resources

About