{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,6]],"date-time":"2026-11-06T09:36:11Z","timestamp":1793957771111,"version":"4.8.0"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T00:00:00Z","timestamp":1669334400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T00:00:00Z","timestamp":1669334400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    The objective of the current study is to identify the risk factors for malnutrition among the age of under-five children\u2019s in Pakistan. This is secondary data analysis for the data taken from Pakistan Demographic and Health Survey (PDHS 2017\u201318) and was analyzed by implementing quantile regression analysis. The sample size included 12,708 alive children in the study, for which the data collection period was from November 22, 2017, to April 30, 2018. The prevalence of malnutrition among boys is high (51.2%). Older age mother\u2019s children have more prevalence of malnutrition (20.7%). A child born with small body size (underweight: Q\n                    <jats:sub>0.25<\/jats:sub>\n                    : \u2212 0.625; Q\n                    <jats:sub>0.50<\/jats:sub>\n                    : \u2212 0.623; Q\n                    <jats:sub>0.75<\/jats:sub>\n                    : \u2212 0.426 and wasting: Q\n                    <jats:sub>0.50<\/jats:sub>\n                    : \u2212 0.513); having uneducated mother (underweight: Q\n                    <jats:sub>0.25<\/jats:sub>\n                    : \u2212 0.387; Q\n                    <jats:sub>0.50<\/jats:sub>\n                    : \u2212 0.247; Q\n                    <jats:sub>0.75<\/jats:sub>\n                    : \u2212 0.328), belonged to a poor household (underweight: Q\n                    <jats:sub>0.50<\/jats:sub>\n                    : \u2212 0.251),residing in rural areas (underweight: Q\n                    <jats:sub>0.25<\/jats:sub>\n                    : \u2212 0.443), not following properly breastfeeding practices (underweight: Q\n                    <jats:sub>0.50<\/jats:sub>\n                    : \u2212 0.439; Q\n                    <jats:sub>0.75<\/jats:sub>\n                    : \u2212 0.438) have negative effect on different measures of malnutrition and this effect is significantly raises across different quantiles of stunting , wasting and underweight (at\n                    <jats:italic>p value<\/jats:italic>\n                    \u2009&lt;\u20090.01 and\u2009&lt;\u20090.05). Older age mother (stunting: Q\n                    <jats:sub>0.50<\/jats:sub>\n                    : 0.777; Q\n                    <jats:sub>0.75<\/jats:sub>\n                    : 1.078; underweight Q\n                    <jats:sub>0.20<\/jats:sub>\n                    : 0.568; Q\n                    <jats:sub>0.50<\/jats:sub>\n                    : 0.429; Q\n                    <jats:sub>0.75<\/jats:sub>\n                    : 0.524) and higher birth order number (stunting: Q\n                    <jats:sub>0.50<\/jats:sub>\n                    : 0.415; Q\n                    <jats:sub>0.75<\/jats:sub>\n                    : 0.535), have a positive effect on three measures of under-nutrition and this effect is gradual raises at different quantile of stunting, wasting and underweight. Elder and smoker mothers were proved associated risk factors of both stunting and being underweight in Pakistan. Moreover, Proper breastfeeding practices, better economic status, average or above the average birth weight of the child, and milk consumption are found protective factors against stunting, wasting, and underweight children in Pakistan.\n                  <\/jats:p>","DOI":"10.1038\/s41598-022-24063-2","type":"journal-article","created":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T16:35:49Z","timestamp":1669394149000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Prevalence and associated factors of stunting, wasting and underweight of children below five using quintile regression analysis (PDHS 2017\u20132018)"],"prefix":"10.1038","volume":"12","author":[{"given":"Maryam","family":"Siddiqa","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amber","family":"Zubair","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Asifa","family":"Kamal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad","family":"Ijaz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tahani","family":"Abushal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,11,25]]},"reference":[{"key":"24063_CR1","first-page":"25","volume":"20","author":"N Endris","year":"2017","unstructured":"Endris, N., Asefa, H. & Dube, L. 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