{"title":"利用Log-Gamma混合效应模型分析约旦2023年调查前2年活产婴儿低出生体重及其相关因素的空间分布","authors":"Kaleab Tesfaye Tegegne, Eleni Tesfaye Tegegne, Mekibib Kassa Tessema, Samuel Ermiyas Teshome, Aemero Asmamaw Chalachew, Tadele Kassahun Wudu, Asmamaw Zegeye Workneh, Aster Addisu Dires, Moges Tadesse Abebe, Jenberu Mekurianew Kelkay","doi":"10.1155/ijcp/9079005","DOIUrl":null,"url":null,"abstract":"<div>\n <p><b>Introduction:</b> Low birth weight (LBW), defined by the WHO as a birth weight under 2500 g, is a significant risk factor for perinatal death, health issues, and an increased risk of chronic diseases in adulthood. The purpose of this study was to examine the geographic distribution of LBW and identify the factors influencing birth weight in Jordan.</p>\n <p><b>Method:</b> This study analyzed secondary data from the 2023 Jordan Population and Family Health Survey, including 4886 neonates. Spatial autocorrelation was used to examine the clustering of LBW cases, while spatial scan statistics and ordinary kriging interpolation helped identify local hotspots and predict high-risk areas. A log-gamma mixed-effects model assessed individual and community-level factors linked to LBW. The Global Moran’s I test was applied to determine if LBW patterns in Jordan were randomly distributed, spread out, or clustered. Adjusted rate ratio (ARR) with 95% confidence intervals was reported for the log-gamma model.</p>\n <p><b>Results:</b> LBW was spatially clustered in Jordan. Hotspot areas (clusters with high frequencies of LBW) were observed in the Rabid, Ajloun, Jarash, and borders of the Mafraq regions of Jordan. Neonates who were born from primary education (ARR = 0.786, 95% CI: 0.721–0.856) and secondary education and above (ARR = 0.814, 95% CI: 0.755–0.878), women with normal weight (ARR = 0.899, 95% CI: 0.829–0.976), women with one child (ARR = 0.442, 95% CI: 0.287–0.680), women with two children (ARR = 0.450, 95% CI: 0.293–0.693), women with three or more child (ARR = 0.442, 95% CI: 0.287–0.679), women with multiple births (ARR = 0.806, 95% CI: 0.752–0.864), women delivered by caesarean section (ARR = 0.932, 95% CI: 0.909–0.956), and regions Ma’an, Karak, Irbid, and Mafraq had significantly associated with LBW babies.</p>\n <p><b>Conclusion:</b> This study identifies key factors affecting LBW in Jordan, including maternal education, weight, parity, gender, multiple births, and delivery method. Hotspots of LBW were found in Irbid, Ajloun, Jarash, and Mafraq, highlighting areas for targeted interventions. Regional differences were observed, with Ma’an and Karak showing higher birth weights, while Irbid and Mafraq had lower birth weights compared with Amman. These findings stress the importance of region-specific strategies to reduce LBW and enhance maternal and child health in Jordan.</p>\n </div>","PeriodicalId":13782,"journal":{"name":"International Journal of Clinical Practice","volume":"2025 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/ijcp/9079005","citationCount":"0","resultStr":"{\"title\":\"Spatial Distribution of Low Birth Weight and Factors Associated With Birth Weight Among Live Births in the 2 Years Before the Survey in Jordan 2023 Using the Log-Gamma Mixed-Effect Model\",\"authors\":\"Kaleab Tesfaye Tegegne, Eleni Tesfaye Tegegne, Mekibib Kassa Tessema, Samuel Ermiyas Teshome, Aemero Asmamaw Chalachew, Tadele Kassahun Wudu, Asmamaw Zegeye Workneh, Aster Addisu Dires, Moges Tadesse Abebe, Jenberu Mekurianew Kelkay\",\"doi\":\"10.1155/ijcp/9079005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n <p><b>Introduction:</b> Low birth weight (LBW), defined by the WHO as a birth weight under 2500 g, is a significant risk factor for perinatal death, health issues, and an increased risk of chronic diseases in adulthood. The purpose of this study was to examine the geographic distribution of LBW and identify the factors influencing birth weight in Jordan.</p>\\n <p><b>Method:</b> This study analyzed secondary data from the 2023 Jordan Population and Family Health Survey, including 4886 neonates. Spatial autocorrelation was used to examine the clustering of LBW cases, while spatial scan statistics and ordinary kriging interpolation helped identify local hotspots and predict high-risk areas. A log-gamma mixed-effects model assessed individual and community-level factors linked to LBW. The Global Moran’s I test was applied to determine if LBW patterns in Jordan were randomly distributed, spread out, or clustered. Adjusted rate ratio (ARR) with 95% confidence intervals was reported for the log-gamma model.</p>\\n <p><b>Results:</b> LBW was spatially clustered in Jordan. Hotspot areas (clusters with high frequencies of LBW) were observed in the Rabid, Ajloun, Jarash, and borders of the Mafraq regions of Jordan. Neonates who were born from primary education (ARR = 0.786, 95% CI: 0.721–0.856) and secondary education and above (ARR = 0.814, 95% CI: 0.755–0.878), women with normal weight (ARR = 0.899, 95% CI: 0.829–0.976), women with one child (ARR = 0.442, 95% CI: 0.287–0.680), women with two children (ARR = 0.450, 95% CI: 0.293–0.693), women with three or more child (ARR = 0.442, 95% CI: 0.287–0.679), women with multiple births (ARR = 0.806, 95% CI: 0.752–0.864), women delivered by caesarean section (ARR = 0.932, 95% CI: 0.909–0.956), and regions Ma’an, Karak, Irbid, and Mafraq had significantly associated with LBW babies.</p>\\n <p><b>Conclusion:</b> This study identifies key factors affecting LBW in Jordan, including maternal education, weight, parity, gender, multiple births, and delivery method. Hotspots of LBW were found in Irbid, Ajloun, Jarash, and Mafraq, highlighting areas for targeted interventions. Regional differences were observed, with Ma’an and Karak showing higher birth weights, while Irbid and Mafraq had lower birth weights compared with Amman. These findings stress the importance of region-specific strategies to reduce LBW and enhance maternal and child health in Jordan.</p>\\n </div>\",\"PeriodicalId\":13782,\"journal\":{\"name\":\"International Journal of Clinical Practice\",\"volume\":\"2025 1\",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/ijcp/9079005\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Clinical Practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/ijcp/9079005\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Clinical Practice","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/ijcp/9079005","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Spatial Distribution of Low Birth Weight and Factors Associated With Birth Weight Among Live Births in the 2 Years Before the Survey in Jordan 2023 Using the Log-Gamma Mixed-Effect Model
Introduction: Low birth weight (LBW), defined by the WHO as a birth weight under 2500 g, is a significant risk factor for perinatal death, health issues, and an increased risk of chronic diseases in adulthood. The purpose of this study was to examine the geographic distribution of LBW and identify the factors influencing birth weight in Jordan.
Method: This study analyzed secondary data from the 2023 Jordan Population and Family Health Survey, including 4886 neonates. Spatial autocorrelation was used to examine the clustering of LBW cases, while spatial scan statistics and ordinary kriging interpolation helped identify local hotspots and predict high-risk areas. A log-gamma mixed-effects model assessed individual and community-level factors linked to LBW. The Global Moran’s I test was applied to determine if LBW patterns in Jordan were randomly distributed, spread out, or clustered. Adjusted rate ratio (ARR) with 95% confidence intervals was reported for the log-gamma model.
Results: LBW was spatially clustered in Jordan. Hotspot areas (clusters with high frequencies of LBW) were observed in the Rabid, Ajloun, Jarash, and borders of the Mafraq regions of Jordan. Neonates who were born from primary education (ARR = 0.786, 95% CI: 0.721–0.856) and secondary education and above (ARR = 0.814, 95% CI: 0.755–0.878), women with normal weight (ARR = 0.899, 95% CI: 0.829–0.976), women with one child (ARR = 0.442, 95% CI: 0.287–0.680), women with two children (ARR = 0.450, 95% CI: 0.293–0.693), women with three or more child (ARR = 0.442, 95% CI: 0.287–0.679), women with multiple births (ARR = 0.806, 95% CI: 0.752–0.864), women delivered by caesarean section (ARR = 0.932, 95% CI: 0.909–0.956), and regions Ma’an, Karak, Irbid, and Mafraq had significantly associated with LBW babies.
Conclusion: This study identifies key factors affecting LBW in Jordan, including maternal education, weight, parity, gender, multiple births, and delivery method. Hotspots of LBW were found in Irbid, Ajloun, Jarash, and Mafraq, highlighting areas for targeted interventions. Regional differences were observed, with Ma’an and Karak showing higher birth weights, while Irbid and Mafraq had lower birth weights compared with Amman. These findings stress the importance of region-specific strategies to reduce LBW and enhance maternal and child health in Jordan.
期刊介绍:
IJCP is a general medical journal. IJCP gives special priority to work that has international appeal.
IJCP publishes:
Editorials. IJCP Editorials are commissioned. [Peer reviewed at the editor''s discretion]
Perspectives. Most IJCP Perspectives are commissioned. Example. [Peer reviewed at the editor''s discretion]
Study design and interpretation. Example. [Always peer reviewed]
Original data from clinical investigations. In particular: Primary research papers from RCTs, observational studies, epidemiological studies; pre-specified sub-analyses; pooled analyses. [Always peer reviewed]
Meta-analyses. [Always peer reviewed]
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Non-systematic/narrative reviews. From October 2009, reviews that are not systematic will be considered only if they include a discrete Methods section that must explicitly describe the authors'' approach. Special priority will, however, be given to systematic reviews. [Always peer reviewed]
''How to…'' papers. Example. [Always peer reviewed]
Consensus statements. [Always peer reviewed] Short reports. [Always peer reviewed]
Letters. [Peer reviewed at the editor''s discretion]
International scope
IJCP publishes work from investigators globally. Around 30% of IJCP articles list an author from the UK. Around 30% of IJCP articles list an author from the USA or Canada. Around 45% of IJCP articles list an author from a European country that is not the UK. Around 15% of articles published in IJCP list an author from a country in the Asia-Pacific region.