Log Linear Models for Religious and Social Factors affecting the practice of Family Planning Methods in Lahore, Pakistan

Farooq Ahmad, Sohail Chand

Abstract


This is cross sectional study based on 304 households (couples) with wives age less than 48 years, chosen from urban locality (city Lahore). Fourteen religious, demographic and socio-economic factors of categorical nature like husband education, wife education, husband’s monthly income, occupation of husband, household size, husband-wife discussion, number of living children, desire for more children, duration of marriage, present age of wife, age of wife at marriage, offering of prayers, political view, and religiously decisions were taken to understand acceptance of family planning. Multivariate log-linear analysis was applied to identify association pattern and interrelationship among factors. The logit model was applied to explore the relationship between predictor factors and dependent factor, and to explore which are the factors upon which acceptance of family planning is highly depending. Log-linear analysis demonstrate that preference of contraceptive use was found to be consistently associated with factors Husband-Wife discussion, Desire for more children, No. of children, Political view and Duration of married life. While Husband’s monthly income, Occupation of husband, Age of wife at marriage and Offering of prayers resulted in no statistical explanation of adoption of family planning methods.

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DOI: http://dx.doi.org/10.18187/pjsor.v2i1.84

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Title

Log Linear Models for Religious and Social Factors affecting the practice of Family Planning Methods in Lahore, Pakistan

Keywords

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Description

This is cross sectional study based on 304 households (couples) with wives age less than 48 years, chosen from urban locality (city Lahore). Fourteen religious, demographic and socio-economic factors of categorical nature like husband education, wife education, husband’s monthly income, occupation of husband, household size, husband-wife discussion, number of living children, desire for more children, duration of marriage, present age of wife, age of wife at marriage, offering of prayers, political view, and religiously decisions were taken to understand acceptance of family planning. Multivariate log-linear analysis was applied to identify association pattern and interrelationship among factors. The logit model was applied to explore the relationship between predictor factors and dependent factor, and to explore which are the factors upon which acceptance of family planning is highly depending. Log-linear analysis demonstrate that preference of contraceptive use was found to be consistently associated with factors Husband-Wife discussion, Desire for more children, No. of children, Political view and Duration of married life. While Husband’s monthly income, Occupation of husband, Age of wife at marriage and Offering of prayers resulted in no statistical explanation of adoption of family planning methods.

Date

2006-01-01

Identifier


Source

Pakistan Journal of Statistics and Operation Research; Vol 2. No. 1, Jan 2006



Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810