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Journal of Biosocial Science / Volume 34 / Issue 04 / October 2002, pp 525 - 539
DOI: DOI:10.1017/S0021932002005254, Published online: 24 September 2002
This paper examines determinants...lass="attribute-to-highlight medbox">of one aspect of sexual behaviour – coital frequency – among 2188 married women in the Central African Republic using a secondary analysis of data from the Demographic and Health Survey of 1994–95. Female genital cutting (or circumcision) is practised in the Central African Republic and self-reported circumcision status was included in the questionnaire enabling it to be examined as a possible determinantof coital frequency. Multiple logistic regression was used to find a subset of factors independently associated with coital frequency.
Decreased coital frequency was found in those who had longer duration of marriage, those who were not the most recent wife in a polygamous marriage and those who had more surviving children. Coital frequency was higher in more educated women and those not contracepting because they wanted to get pregnant. After adjusting for confounders no association between
female genital cutting and coital frequency was found. The extent to which women can control coital frequency in this culture is not known and fertility desires may override any negative effects of circumcision on sexual pleasure.
It was therefore not possible to draw conclusions about how female genital cutting affects a woman’s desire for sexual intercourse and consequently there is a need to develop research methods further to investigate this question.
more
Yaya et al. BMC Pregnancy and Childbirth (2018) 18:194
Ensuring equitable access to maternal health care including antenatal, delivery, postnatal services
and fertility control methods, is one of...> the most critical challenges for public health sector. There are significant
disparities in maternal health care indicators across many geographical locations, maternal, economic, sociodemographic
factors in many countries in sub-Sahara Africa. In this study, we comparatively explored the utilization
level of maternal health care, and examined disparities in the determinantsof major maternal health outcomesmore
The National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) t...o collect data for monitoring progress on health programs and policies in Rwanda. This publication illustrates the profile of Kigali Citymore
he National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) to... collect data for monitoring progress on health programs and policies in Rwanda. This publication illustrates the profile of Northern Province.more
The National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) t...o collect data for monitoring progress on health programs and policies in Rwanda. This publication illustrates the profile of Southern provincemore
The National Institute of statistics of Rwanda (NISR) in collaboration with the worldwide Demographic and Health Surveys Program implemented the 2014-15 Rwanda Demographic and Health Survey (RDHS) t...o collect data for monitoring progress on health programs and policies in Rwanda. This publication illustrates the profile of Eastern Province.more
DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinantsof maternal care seeking in ...Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.more