{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T06:49:36Z","timestamp":1791355776540,"version":"4.3.1"},"reference-count":31,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T00:00:00Z","timestamp":1791331200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Reprod. Health"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Fertility is a key demographic and public health phenomenon reflecting actual childbearing within a population. It can be characterized using several measures, including total fertility rate, age-specific fertility rates, children ever born, and the number of births occurring within a defined reference period. These measures capture different dimensions of reproductive experience and are associated with a complex interplay of socioeconomic, demographic, cultural, biological, and policy-related factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      By dividing the nine regions into urban and rural categories, twenty-one sampling strata were created. The survey employed a two-stage stratified cluster sampling design. In the first stage, 305 enumeration areas (EAs) were selected from the national sampling frame using probability proportional to size. A total of 8,885 women were included in the descriptive analysis, while the primary multivariable analysis was restricted to 6,585 ever-married\/partnered women. A survey-adjusted Poisson regression model was used to examine associations between explanatory variables and the number of live births during the five years preceding the survey. Statistical significance was assessed using a two-sided\n                      <jats:italic>p<\/jats:italic>\n                      -value of &amp;lt;0.05.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Result and conclusion<\/jats:title>\n                    <jats:p>The mean age of the participants was 27.6 years. More than four-fifths of women had either no formal education (40.4%) or primary education (41.7%). Compared with women aged 15\u201319 years, the expected number of recent live births was higher among women aged 20\u201324 years (aIRR\u2009=\u20092.129, 95% CI: 1.759\u20132.577). Women residing in Amhara had a lower expected number of recent live births than women residing in Tigray (aIRR\u2009=\u20090.765, 95% CI: 0.658\u20130.890). Lower expected counts were also observed in Addis Ababa (aIRR\u2009=\u20090.818, 95% CI: 0.684\u20130.979) and Dire Dawa (aIRR\u2009=\u20090.792, 95% CI: 0.659\u20130.952). An inverse association was observed between household wealth and recent live-birth counts. These findings highlight the multifactorial nature of recent live births in Ethiopia and suggest that fertility patterns are associated with a combination of individual, household, and contextual factors. These insights may help inform evidence-based reproductive health and family planning policies tailored to the Ethiopian context.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/frph.2026.1928107","type":"journal-article","created":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T05:50:34Z","timestamp":1791352234000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Fertility in Ethiopia: factors associated with the number of live births \u2014a survey\u2014adjusted poisson regression analysis of the 2019 ethiopian mini demographic and health survey"],"prefix":"10.3389","volume":"8","author":[{"given":"Melese Dereje","family":"Mesfin","sequence":"first","affiliation":[{"name":"Doctoral School of Health Science, Faculty of Health Sciences, University of P\u00e9cs","place":["Pecs, Hungary"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amare Yirga","family":"Wondu","sequence":"additional","affiliation":[{"name":"Department of Clinical Medical Sciences, Medical School, University of P\u00e9cs","place":["P\u00e9cs, Hungary"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dahabo Adi","family":"Galgalo","sequence":"additional","affiliation":[{"name":"Doctoral School of Health Science, Faculty of Health Sciences, University of P\u00e9cs","place":["Pecs, Hungary"]},{"name":"National Laboratory on Human Reproduction, University of P\u00e9cs","place":["P\u00e9cs, Hungary"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leman","family":"Atmaca","sequence":"additional","affiliation":[{"name":"Doctoral School of Health Science, Faculty of Health Sciences, University of P\u00e9cs","place":["Pecs, Hungary"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00c1gnes","family":"Buda","sequence":"additional","affiliation":[{"name":"Doctoral School of Health Science, Faculty of Health 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