Modern contraceptive utilization and its associated factors among married women in Senegal: a multilevel analysis
Bibliographic record
Abstract
BACKGROUND: Utilization of modern contraceptives is still low in low-and middle-income countries, although fertility and population growth rates are high. In Senegal, modern contraceptive utilization is low, with few studies focusing on its associated factors. This study examined modern contraceptive use and its associated factors among married women in Senegal. METHODS: Data from the 2017 Continuous Demographic and Health Survey (C-DHS) on 11,394 married women was analysed. We examined the associations between the demographic and socioeconomic characteristics of women and their partners and modern contraceptive use using multilevel logistic regression models. Adjusted odds ratios with 95% confidence intervals (CI) were estimated. RESULTS: The utilization of modern contraceptives among married women was 26.3%. Individual level factors associated with modern contraceptive use were women's age (45-49 years-aOR = 0.44, 0.30-0.63), women's educational level (higher-aOR = 1.88, 1.28-2.76) husband's educational level (higher-aOR = 1.43, 1.10-1.85)), number of living children (5 or more children-aOR = 33.14, 19.20-57.22), ideal number of children (2 children-aOR = 1.95, 1.13-3.35), desire to have more children (wants no more-aOR = 2.46, 2.06-2.94), ethnicity (Diola-aOR = 0.70, 0.50-0.99), media exposure (yes-aOR = 1.44, 1.16-1.79)), wealth index (richer-aOR = 1.31, 1.03-1.67) and decision making power of women (decision making two-aOR = 1.20, 1.02-1.41). Whereas, region (Matam-aOR = 0.35, 0.23-0.53), place of residence (rural-aOR = 0.76, 0.63-0.93), community literacy level (high-aOR = 1.31, 1.01-1.71) and community knowledge level of modern contraceptives (high-aOR = 1.37, 1.13-1.67) were found as significant community level factors. CONCLUSIONS: The findings indicate that both individual and community level factors are significantly associated with modern contraceptive use among married women in Senegal. Interventions should focus on enhancing literacy levels of women, their husbands and communities. Furthermore, strengthening awareness and attitude towards family planning should be given priority, especially in rural areas and regions with low resources.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".