ArticleBMC women's health2023
Individual and Community-level factors associated with early marriage in Zambia: a mixed effect analysis.
Article in BMC women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 26 citations in OpenAlex.
- Child Brides in Africa: A Narrative Review on Effects, Gaps, and Interventions.Public health challenges · 2026Review
- Drivers of child marriage in Eastern and Western provinces in Zambia and effective preventive interventions: Findings from a rapid document review and three stakeholder meetings.Reproductive health · 2026Review
- What factors drive unmet need for modern contraception among sexually active adolescent girls and young women in Zambia: a multilevel analysis.Contraception and reproductive medicine · 2026Article
- Decoding fertility behaviour of married women in Zambia: A multipronged analysis of bio-demographic, socio-economic and intermediate factors.PLOS global public health · 2025Article
- Child marriage and quality of marriage among young married women in a rural district, Lorestan Province, Iran.BMC research notes · 2024Article
- Trends in prevalence and factors associated with unintended pregnancies in Zambia (2001-2018).BMC pregnancy and childbirth · 2024Article
- Prevalence and factors associated with contraceptive use among sexually active adolescent girls in 25 sub-Saharan African countries.PloS one · 2024Article
- RETRACTED: Exploring determinants of early marriage among women in Bangladesh: A multilevel analysis.PloS one · 2024Article
- Social context of contraceptive use transition among sexually active women in Zambia (1992-2018): A decomposition analysis.PloS one · 2024Article
- Perceived ideal number of children among adolescent girls in sub-Saharan Africa: does exposure to family planning messages matter?BMC women's health · 2023Article
- Prevalence and factors associated with early childbearing in sub-saharan Africa: evidence from demographic and health surveys of 31 countries.BMC women's health · 2023Article
- Determinants of spousal physical violence against women in Zambia: a multilevel analysis.BMC public health · 2023Article
- Factors associated with fertility intentions among women living with and without human immunodeficiency virus in Zambia.Women's health (London, England)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChild marriage has long been a public health concern around the world, because it has the potential to deprive adolescent girls of their sexual reproductive health rights and limits their ability to reach their full potential in life. The prevalence of child marriage has been consistently higher in sub-Saharan Africa than elsewhere. However, fewer studies have explored the influence of both individual and community-level influences on early marriage in sub-Saharan Africa. This study, therefore, examined individual and community-level factors associated with child marriages in Zambia.
methodsData came from the Zambia Demographic and Health Surveys (ZDHS) conducted in 2007, 2013-14 and 2018. A pooled weighted sample of 9990 women aged 20-29 years was used in the analysis. Stata software version 17 was used to perform statistical analysis, taking into account complex survey design. The association between individual- and community- level factors and early marital behavior was assessed using multilevel logistic regression models.
resultsThe prevalence of child marriage among women aged 20-29 was 44.4 percent (95% CI: 42.1, 46.7) in 2018, declining from 51.5 percent (95% CI: 48.9, 54.0) in 2007. Women with secondary or higher level of education [aOR = 0.36, 95% CI = 0.26-0.49] and [aOR = 0.07, 95% CI = 0.03-0.18] and those whose age at first birth was (15-19 year) or (20-29 years) were associated with less likelihood of experiencing child marriage. Communities with a high percentage of women who gave birth at a young age [aOR = 1.36, 95% CI = 1.15-1.62] were more likely to experience child marriage. Individual and community-level characteristics accounted for 35% of the overall variations in communities' likelihood of experiencing early marriage. Even after controlling for both individual and community-level influences, the intra-class correlation revealed that around 4.5 percent of the overall variations remained unexplained.
conclusionPrevalence of child marriage has reduced over the years but is still high in Zambia. Both individual and community- level factors influenced child marriage in Zambia. There is a need to strengthen strategies that keep girls in school to delay their exposure to early sexual debut and child marriage. Designing of reproductive health interventions in the country should consider integration of community factors such as economic insecurity and access to reproductive health information.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.