Study Design
The study was a retrospective cross-sectional study that abstracted data from the 2018 demographic health survey (DHS) data set of Cameroon.
Study Population
The study population consisted of women of reproductive age: 15-49 years old who consented to participate in the DHS program and who were using a modern contraception. From this population were excluded women with incomplete data on current family planning method.
Study variables
The study variables analysed included socio-demographic and behavioural variables and are as listed: age, marital status, number of co-wives, age at first cohabitation, highest educational level, religion, work status, region, type of place of residence (urban/rural), number of children born, number of sons dead, daughters dead, number of children alive, sex of children, number of household members, number of children under 5 in households, sex of household head, age of household head, wealth index combined, wealth index for urban/rural, ever had a terminated pregnancy, time since last sex, desire for more children, husband's desire for children, exposure to need for contraception, decision maker for using contraception, person who usually decides on respondent's health care, ever been humiliated by husband/partner, ever been threatened with harm by husband/partner, ever been insulted or made to feel bad by husband/partner, ever experienced any form of violence, covered by health insurance, number of caesarean deliveries.
Data Management
Data was cleaned and analysed using R version 4 for windows. The recording of variables and the study outcomes was done as per previous literatures. The study objective was to assess factors influencing the use of long term modern contraceptive among modern contraception users. A binary outcome variable was generated by coding 1 for those who were classified as using long-term contraceptives and 0 for those using short-term contraceptives. The outcomes were classified as shown in table 1.
Study Variables
The study variables analysed included socio-demographic and behavioural variables and are as listed: age, marital status, number of co-wives, age at first cohabitation, highest educational level, religion, work status, region, type of place of residence (urban/rural), number of children born, number of sons dead, daughters dead, number of children alive, sex of children, number of household members, number of children under 5 in households, sex of household head, age of household head, wealth index combined, wealth index for urban/rural, ever had a terminated pregnancy, time since last sex, desire for more children, husband's desire for children, exposure to need for contraception, decision maker for using contraception, person who usually decides on respondent's health care, ever been humiliated by husband/partner, ever been threatened with harm by husband/partner, ever been insulted or made to feel bad by husband/partner, ever experienced any form of violence, covered by health insurance, number of caesarean deliveries.
Data Analysis
Data was analysed using R version 4.0 for Windows. The participant characteristics were presented by use of frequencies and percentages for categorical variables and were stratified by type of family planning method. Difference between these groups were assessed by use of chi-square statistics and fisher’s exact count for variables that had cell counts less than 5. The prevalence of family planning use was presented by use of frequencies and percentages. Bivariate logistic regression analysis was conducted for the study outcome of long-term versus short-term contraceptives. Variables that had a p < 0.1 in the bivariate logistic regression analysis were fit in the multivariate logistic regression analysis. All the study data was weighed. Associations were reported by use of unadjusted and adjusted odds ratios with their respective 95% confidence intervals (CIs). Statistical significance is taken at p < 0.05.