{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T11:34:26Z","timestamp":1777376066894,"version":"3.51.4"},"reference-count":34,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2023,8,3]],"date-time":"2023-08-03T00:00:00Z","timestamp":1691020800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Am J Health Promot"],"published-print":{"date-parts":[[2023,11]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Owing to the reproductive health needs of the budding adolescent and young population, the present study aims to determine the factors associated with and decomposing the gap in contraceptive use among adolescents and young women in India.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Cross sectional design. SettingThe present study is based in India using the appended datasets (IV and V rounds) of the Indian Demographic Health Survey (DHS), also known as National Family Health Survey (NFHS) conducted in 2015-16 and 2019-21.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Sample<\/jats:title>\n                    <jats:p>The adequate sample size was 475,294 adolescents and young women in NFHS-4 and 229,705 in NFHS-5, totaling 704,999 adolescents (appended for NFHS-4 and 5) for the present study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Measures<\/jats:title>\n                    <jats:p>Sociodemographic, sexual and reproductive history and contraceptive measures.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Analysis<\/jats:title>\n                    <jats:p>Descriptive statistics, chi-square tests, and a binary logistic regression model were executed. Additionally, a decomposition technique called Fairlie decomposition was employed to identify the primary causes of the difference in the prevalence of contraceptive use between the two survey periods.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Almost 96% of young women aged 15-24 knew about contraception, but only 12% used it. Regression analysis revealed that contraceptive use was associated with higher age (AOR 1.09), higher education (AOR 1.28), married adolescents (AOR 4.08), richest wealth quantile (AOR 2.95), joint decision making (AOR 4.40), knowledge of ovulatory cycle (AOR 1.47), interaction with a health worker about any methods of family planning (AOR 3.29) and three and above children ever born (AOR 18.54). Decomposition analysis showed that factors like decision-making of contraception, age, interaction with family planning worker, the intention of last pregnancy, place of residence and age at first sex contributed to increasing the probability of contraceptive use from NFHS-4 to 5.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>A target-based approach dedicated to understanding the mindset of adolescents and keeping up with their unique needs is the need of the hour.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/08901171231189543","type":"journal-article","created":{"date-parts":[[2023,8,3]],"date-time":"2023-08-03T07:37:53Z","timestamp":1691048273000},"page":"1049-1059","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Decomposing the Gap in Contraceptive Use Among Female Adolescents and Young Women Aged 15-24 in India: An Analysis of Appended Datasets of NFHS-4 and 5"],"prefix":"10.1177","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8317-2737","authenticated-orcid":false,"given":"Himani","family":"Sharma","sequence":"first","affiliation":[{"name":"Department of Survey Research and Data Analytics, International Institute for Population Sciences, Mumbai, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shri Kant","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Survey Research and Data Analytics, International Institute for Population Sciences, Mumbai, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2023,8,3]]},"reference":[{"key":"bibr1-08901171231189543","volume-title":"Indian Labour Organisation","author":"Decent Work for Youth in India"},{"key":"bibr2-08901171231189543","unstructured":"National Youth Policy, Ministry of Youth Affairs and Sports, Government of India; 2014."},{"key":"bibr3-08901171231189543","unstructured":"Darroch JE, Woog V, Bankole A. ADDING IT UP : Costs and Benefits of Meeting the Contraceptive Needs of Adolescents. 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