A Demographic Profile of the People of Jammu and Kashmir 3. Estimates, Trends and Differentials in Mortality

Bhasin, M.K.; Nag, Shampa

doi:10.1080/09709274.2002.11905526

Cited by 2 publications

(3 citation statements)

References 4 publications

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“…However, lower child mortality is noticed only beyond primary level of education. Barring few irregularities it is generally agreed that paternal education also have a negative affect on infant mortality (Caldwell, 1979;Nag, 1983;Hobcraft et al, 1984;UN, 1985;Mahadevan, 1989;Chachra and Bhasin, 1998c;Bhasin and Nag, 2002c). Women who marry young tend to have children at a younger age.…”

Section: Factors Affecting Infant Mortalitymentioning

confidence: 99%

“…Like fertility, infant mortality is also influenced by a number of factors such as parent's education particularly that of mother (Caldwell, 1979;Nag, 1983;Bhasin and Kshatriya, 1990;UN, 1994) and access to medical facilities (UN, 1985;Jain, 1985;Mahadevan, 1989;Suri Babu and Bhasin, 1990;Chachra and Bhasin, 1998c;Bhasin and Nag, 2002c). In rural India, mother's education (individual level variable), income (household level variable), and availability of medical facilities and care (community level variable), are major determinants of infant and child mortality (Jain, 1985).…”

Section: Introductionmentioning

confidence: 99%

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

Dabral

Malik

2005

Journal of Human Ecology

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Association between various bio-social factors that affect fertility, infant mortality and use of birth control methods was examined among Gujjars of Delhi. The data were collected from 558 households on ever-married women in the age group 15-49 years. Among Gujjars, women's age has the most significant effect on fertility and family planning acceptance; while fertility influences infant mortality the most. Women's education is also an important determinant of these variables. Stepwise multivariate analysis reflects that older women tend to have higher fertility, followed by higher ideal no. of children. Also, fertility further increases with higher infant mortality (that is the next factor affecting it). It is expected that lowering of infant mortality may help in reducing fertility. Among older woman infant mortality is higher. Usage of family planning methods among older women is lower as compared to women who were younger at the time of field survey. There is a decline in usage of BCM with the increase in surviving children, however if the women has higher desire for sons and higher ideal number of children then their acceptance and use decline further.

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Section: Factors Affecting Infant Mortalitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Dabral

Malik

2005

Journal of Human Ecology

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“…OC ranks 3rd among females in India after Breast and Cervix cancers 3 . Sixty-one percent of women of J&K (India) are having reproductive health issues like abnormal vaginal discharge, symptoms of a urinary tract infection, pain or bleeding associated with intercourse, uterine endometriosis or even benign and malignant ovarian tumors 5 . It has been observed that there is substantial difference among different Indian populations with special emphasis on their topographical, language, social relationships and genetics 6 .…”

Section: Introductionmentioning

confidence: 99%

MassArray analysis of genomic susceptibility variants in ovarian cancer

Verma

Sharma²,

Sharma³

et al. 2020

Sci Rep

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Ovarian cancer (OC), a multifaceted and genetically heterogeneous malignancy is one of the most common cancers among women. The aim of the study is to unravel the genetic factors associated with OC and the extent of genetic heterogeneity in the populations of Jammu and Kashmir (J&K).Using the high throughput Agena MassARRAY platform, present case control study was designed which comprises 200 histopathological confirmed OC patients and 400 age and ethnicity matched healthy controls to ascertain the association of previously reported eleven single nucleotide polymorphisms (SNPs) spread over ten genes (DNMT3A, PIK3CA, FGFR2, GSTP1, ERCC5, AKT1, CASC16, CYP19A1, BCL2 and ERCC1) within the OC population of Jammu and Kashmir, India. The association of each variant was estimated using logistic regression analyses. Out of the 11 SNPs the odds ratio observed for three SNPs; rs2699887 was (1.72 at 95% CI: 1.19–2.48, p = 0.004), rs1695 was (1.87 at 95% CI: 1.28–2.71, p = 0.001), and rs2298881 was (0.66 at 95% CI: 0.46–0.96, p = 0.03) were found significantly associated with the OC after correction with confounding factors i.e. age & BMI. Furthermore, the estimation of interactive analyses was performed and odds ratio observed was 2.44 (1.72–3.47), p value < 0. 001 suggests that there was a strong existence of interplay between the selected genetic variants in OC, which demonstrate that interactive analysis highlights the role of gene–gene interaction that provides an insight among multiple little effects of various polymorphisms in OC.

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A Demographic Profile of the People of Jammu and Kashmir 3. Estimates, Trends and Differentials in Mortality

Cited by 2 publications

References 4 publications

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

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

MassArray analysis of genomic susceptibility variants in ovarian cancer

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