Dataset

Data from: Trajectories of Childbearing among HIV Infected Indian Women: A Sequence Analysis Approach

Darak, S. (Creator), Mills, M. (Creator), Kulkarni, V. (Creator), Kulkarni, S. (Creator), Hutter, I. (Creator), Janssen, F. (Creator), University of Groningen, 23-Apr-2015

Dataset

Description

Background
HIV infection closely relates to and deeply affects the reproductive career of those infected. However, little is known about the reproductive career trajectories, specifically the interaction of the timing of HIV diagnosis with the timing and sequencing of reproductive events among HIV infected women. This is the first study to describe and typify this interaction.

Methods
Retrospective calendar data of ever married HIV infected women aged 15-45 attending a HIV clinic in Pune, Maharashtra, Western India (N=622) on reproductive events such as marriage, cohabitation with the partner, use of contraception, pregnancy, childbirth and HIV diagnosis were analyzed using sequence analysis and multinomial logistic regression.

Results
Optimal matching revealed three distinct trajectories: 1) HIV diagnosis concurrent with childbearing (40.7%), 2) HIV diagnosis after childbearing (32.1%), and 3) HIV diagnosis after husband’s death (27.2%). Multinomial logistic regression (trajectory 1 = baseline) showed that women who got married before the age of 21 years and who had no or primary level education had a significantly higher risk of knowing their HIV status either after childbearing or close to their husband’s death. The risk of HIV diagnosis after husband’s death was also higher among rural women and those who were diagnosed before 2005.
Date made available23-Apr-2015
PublisherUniversity of Groningen
Geographical coverageIndia
Access to the dataset Open
Contact researchdata@rug.nl

    Keywords on Datasets

  • HIV diagnosis, Life planning process, retrospective calendar data, Sequence Analysis Approach, Health, Demography
Related Publications
  1. Trajectories of Childbearing among HIV Infected Indian Women: A Sequence Analysis Approach

    Darak, S., Mills, M., Kulkarni, V., Kulkarni, S., Hutter, I. & Janssen, F., 23-Apr-2015, In : PLoS ONE. 10, 4, 16 p., e0124537.

    Research output: Contribution to journalArticleAcademicpeer-review

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ID: 67482154