Association of maternal and social characteristics with age-standardised birthweight
Objectives To identify the maternal and social characteristics associated with age standardised birthweight in a modern developed setting. Methods Birth records ( n = 414,478) were obtained for live, singleton births in the period 2007–2015 in Queensland, Australia. Age-standardised birth weights w...
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Veröffentlicht in: | Journal of public health 2022-02, Vol.30 (2), p.373-383 |
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description | Objectives
To identify the maternal and social characteristics associated with age standardised birthweight in a modern developed setting.
Methods
Birth records (
n
= 414,478) were obtained for live, singleton births in the period 2007–2015 in Queensland, Australia. Age-standardised birth weights were calculated and a multinomial logistic regression was performed to obtain odds ratios and 95% confidence intervals for a range of maternal and social characteristics.
Results
Mothers who smoke (OR 2.82, 95% CI 2.72–2.93), and mothers from Southern and Central Asia (OR 3.30, 95% CI 3.08–3.53) had the highest odds of delivering small for gestational age babies. Smoking alone accounted for 21% of low birthweight. Pre-existing diabetes (OR 5.98, 95% CI 5.12–6.99) had the highest odds ratio for large for gestational age births; however, maternal overweight and obesity accounted for 24% of all cases due to its greater prevalence in the population.
Conclusion for practice
Smoking continues to be an important modifiable predictor of low birthweight. The predictors associated with large for gestational age are modifiable, with maternal overweight and obesity the largest contributor to high birthweight.
Significance
Maternal characteristics are changing alongside broader population change, with mothers often older and heavier than in previous decades. This study provides an update to the role of maternal and social characteristics in optimal birthweight within a large developed population. The present study finds a range of traditional and emerging risk factors remain important. Population attributable risk fractions show that maternal overweight and smoking are the most important modifiable risk factors for birthweight extremes (foetal macrosomia and small for gestational age, respectively). Public health efforts to address these risk factors could reduce up to 20% of birth weight extremes. |
doi_str_mv | 10.1007/s10389-020-01292-1 |
format | Article |
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To identify the maternal and social characteristics associated with age standardised birthweight in a modern developed setting.
Methods
Birth records (
n
= 414,478) were obtained for live, singleton births in the period 2007–2015 in Queensland, Australia. Age-standardised birth weights were calculated and a multinomial logistic regression was performed to obtain odds ratios and 95% confidence intervals for a range of maternal and social characteristics.
Results
Mothers who smoke (OR 2.82, 95% CI 2.72–2.93), and mothers from Southern and Central Asia (OR 3.30, 95% CI 3.08–3.53) had the highest odds of delivering small for gestational age babies. Smoking alone accounted for 21% of low birthweight. Pre-existing diabetes (OR 5.98, 95% CI 5.12–6.99) had the highest odds ratio for large for gestational age births; however, maternal overweight and obesity accounted for 24% of all cases due to its greater prevalence in the population.
Conclusion for practice
Smoking continues to be an important modifiable predictor of low birthweight. The predictors associated with large for gestational age are modifiable, with maternal overweight and obesity the largest contributor to high birthweight.
Significance
Maternal characteristics are changing alongside broader population change, with mothers often older and heavier than in previous decades. This study provides an update to the role of maternal and social characteristics in optimal birthweight within a large developed population. The present study finds a range of traditional and emerging risk factors remain important. Population attributable risk fractions show that maternal overweight and smoking are the most important modifiable risk factors for birthweight extremes (foetal macrosomia and small for gestational age, respectively). Public health efforts to address these risk factors could reduce up to 20% of birth weight extremes.</description><identifier>ISSN: 2198-1833</identifier><identifier>EISSN: 1613-2238</identifier><identifier>DOI: 10.1007/s10389-020-01292-1</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Age ; Birth weight ; Births ; Body weight ; Confidence intervals ; Diabetes mellitus ; Epidemiology ; Gestational age ; Health Promotion and Disease Prevention ; Medicine ; Medicine & Public Health ; Obesity ; Original Article ; Overweight ; Population ; Population studies ; Public Health ; Risk analysis ; Risk factors ; Small for gestational age ; Smoking ; Statistical analysis</subject><ispartof>Journal of public health, 2022-02, Vol.30 (2), p.373-383</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c249t-6a31b0b2d3c1435a1c0f19c0db5a389385d9674bb124fe0f098943e846f924a3</citedby><cites>FETCH-LOGICAL-c249t-6a31b0b2d3c1435a1c0f19c0db5a389385d9674bb124fe0f098943e846f924a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10389-020-01292-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10389-020-01292-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Vilcins, Dwan</creatorcontrib><creatorcontrib>Baker, Peter</creatorcontrib><creatorcontrib>Jagals, Paul</creatorcontrib><creatorcontrib>Sly, Peter D.</creatorcontrib><title>Association of maternal and social characteristics with age-standardised birthweight</title><title>Journal of public health</title><addtitle>J Public Health (Berl.)</addtitle><description>Objectives
To identify the maternal and social characteristics associated with age standardised birthweight in a modern developed setting.
Methods
Birth records (
n
= 414,478) were obtained for live, singleton births in the period 2007–2015 in Queensland, Australia. Age-standardised birth weights were calculated and a multinomial logistic regression was performed to obtain odds ratios and 95% confidence intervals for a range of maternal and social characteristics.
Results
Mothers who smoke (OR 2.82, 95% CI 2.72–2.93), and mothers from Southern and Central Asia (OR 3.30, 95% CI 3.08–3.53) had the highest odds of delivering small for gestational age babies. Smoking alone accounted for 21% of low birthweight. Pre-existing diabetes (OR 5.98, 95% CI 5.12–6.99) had the highest odds ratio for large for gestational age births; however, maternal overweight and obesity accounted for 24% of all cases due to its greater prevalence in the population.
Conclusion for practice
Smoking continues to be an important modifiable predictor of low birthweight. The predictors associated with large for gestational age are modifiable, with maternal overweight and obesity the largest contributor to high birthweight.
Significance
Maternal characteristics are changing alongside broader population change, with mothers often older and heavier than in previous decades. This study provides an update to the role of maternal and social characteristics in optimal birthweight within a large developed population. The present study finds a range of traditional and emerging risk factors remain important. Population attributable risk fractions show that maternal overweight and smoking are the most important modifiable risk factors for birthweight extremes (foetal macrosomia and small for gestational age, respectively). Public health efforts to address these risk factors could reduce up to 20% of birth weight extremes.</description><subject>Age</subject><subject>Birth weight</subject><subject>Births</subject><subject>Body weight</subject><subject>Confidence intervals</subject><subject>Diabetes mellitus</subject><subject>Epidemiology</subject><subject>Gestational age</subject><subject>Health Promotion and Disease Prevention</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Obesity</subject><subject>Original Article</subject><subject>Overweight</subject><subject>Population</subject><subject>Population studies</subject><subject>Public Health</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Small for gestational age</subject><subject>Smoking</subject><subject>Statistical analysis</subject><issn>2198-1833</issn><issn>1613-2238</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kE1LAzEQhoMoWKt_wFPAc3Qms7tNjqX4BQUvvYdsNttNabs1SSn-e7eu4M3TwMzzDjMPY_cIjwgwe0oIpLQACQJQainwgk2wQhJSkrpkE4laCVRE1-wmpQ0AEUk9Yat5Sr0LNod-z_uW72z2cW-33O4b_jPZctfZaN3QDykHl_gp5I7btRcpD5SNTUi-4XWIuTv5sO7yLbtq7Tb5u986ZauX59XiTSw_Xt8X86VwstBZVJawhlo25LCg0qKDFrWDpi7t8A2pstHVrKhrlEXroQWtdEFeFVWrZWFpyh7GtYfYfx59ymbTH8_HJyMrCYpKVcmBkiPlYp9S9K05xLCz8csgmLM8M8ozgzzzI8_gEKIxlAZ4v_bxb_U_qW8veHJO</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Vilcins, Dwan</creator><creator>Baker, Peter</creator><creator>Jagals, Paul</creator><creator>Sly, Peter D.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope></search><sort><creationdate>20220201</creationdate><title>Association of maternal and social characteristics with age-standardised birthweight</title><author>Vilcins, Dwan ; Baker, Peter ; Jagals, Paul ; Sly, Peter D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c249t-6a31b0b2d3c1435a1c0f19c0db5a389385d9674bb124fe0f098943e846f924a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age</topic><topic>Birth weight</topic><topic>Births</topic><topic>Body weight</topic><topic>Confidence intervals</topic><topic>Diabetes mellitus</topic><topic>Epidemiology</topic><topic>Gestational age</topic><topic>Health Promotion and Disease Prevention</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Obesity</topic><topic>Original Article</topic><topic>Overweight</topic><topic>Population</topic><topic>Population studies</topic><topic>Public Health</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Small for gestational age</topic><topic>Smoking</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vilcins, Dwan</creatorcontrib><creatorcontrib>Baker, Peter</creatorcontrib><creatorcontrib>Jagals, Paul</creatorcontrib><creatorcontrib>Sly, Peter D.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><jtitle>Journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vilcins, Dwan</au><au>Baker, Peter</au><au>Jagals, Paul</au><au>Sly, Peter D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association of maternal and social characteristics with age-standardised birthweight</atitle><jtitle>Journal of public health</jtitle><stitle>J Public Health (Berl.)</stitle><date>2022-02-01</date><risdate>2022</risdate><volume>30</volume><issue>2</issue><spage>373</spage><epage>383</epage><pages>373-383</pages><issn>2198-1833</issn><eissn>1613-2238</eissn><abstract>Objectives
To identify the maternal and social characteristics associated with age standardised birthweight in a modern developed setting.
Methods
Birth records (
n
= 414,478) were obtained for live, singleton births in the period 2007–2015 in Queensland, Australia. Age-standardised birth weights were calculated and a multinomial logistic regression was performed to obtain odds ratios and 95% confidence intervals for a range of maternal and social characteristics.
Results
Mothers who smoke (OR 2.82, 95% CI 2.72–2.93), and mothers from Southern and Central Asia (OR 3.30, 95% CI 3.08–3.53) had the highest odds of delivering small for gestational age babies. Smoking alone accounted for 21% of low birthweight. Pre-existing diabetes (OR 5.98, 95% CI 5.12–6.99) had the highest odds ratio for large for gestational age births; however, maternal overweight and obesity accounted for 24% of all cases due to its greater prevalence in the population.
Conclusion for practice
Smoking continues to be an important modifiable predictor of low birthweight. The predictors associated with large for gestational age are modifiable, with maternal overweight and obesity the largest contributor to high birthweight.
Significance
Maternal characteristics are changing alongside broader population change, with mothers often older and heavier than in previous decades. This study provides an update to the role of maternal and social characteristics in optimal birthweight within a large developed population. The present study finds a range of traditional and emerging risk factors remain important. Population attributable risk fractions show that maternal overweight and smoking are the most important modifiable risk factors for birthweight extremes (foetal macrosomia and small for gestational age, respectively). Public health efforts to address these risk factors could reduce up to 20% of birth weight extremes.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s10389-020-01292-1</doi><tpages>11</tpages></addata></record> |
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subjects | Age Birth weight Births Body weight Confidence intervals Diabetes mellitus Epidemiology Gestational age Health Promotion and Disease Prevention Medicine Medicine & Public Health Obesity Original Article Overweight Population Population studies Public Health Risk analysis Risk factors Small for gestational age Smoking Statistical analysis |
title | Association of maternal and social characteristics with age-standardised birthweight |
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