Loading…

Economic predictors of child maltreatment in an Australian population-based birth cohort

A correlation between socioeconomic disadvantage and child maltreatment has long been observed, but the drivers of this association are poorly understood. We sought to estimate the effects of economic factors on risk of child maltreatment after adjusting for other known influences using the Australi...

Full description

Saved in:
Bibliographic Details
Published in:Children and youth services review 2017-01, Vol.72, p.14-25
Main Authors: Doidge, James C, Higgins, Daryl J, Delfabbro, Paul, Edwards, Ben, Vassallo, Suzanne, Toumbourou, John W, Segal, Leonie
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c489t-753d7d9f3fcc1ed9c4638d318ebe890817d087e373246b4145f89b091eccc8c73
cites cdi_FETCH-LOGICAL-c489t-753d7d9f3fcc1ed9c4638d318ebe890817d087e373246b4145f89b091eccc8c73
container_end_page 25
container_issue
container_start_page 14
container_title Children and youth services review
container_volume 72
creator Doidge, James C
Higgins, Daryl J
Delfabbro, Paul
Edwards, Ben
Vassallo, Suzanne
Toumbourou, John W
Segal, Leonie
description A correlation between socioeconomic disadvantage and child maltreatment has long been observed, but the drivers of this association are poorly understood. We sought to estimate the effects of economic factors on risk of child maltreatment after adjusting for other known influences using the Australian Temperament Project, a population-based birth cohort of 2443 individuals and their parents. We used logistic regression to estimate associations of childhood economic factors (parental education, occupation, and unemployment; type of housing; and retrospective perception of poverty) with retrospective reports of perceived child maltreatment (physical abuse, sexual abuse, emotional abuse, neglect, and witnessing of domestic violence), controlling for demographic factors, parental mental health and substance use, and child health. We then used these estimates to approximate the proportions of child maltreatment—population attributable fractions—that are theoretically preventable by addressing childhood economic disadvantage. Economic factors were associated with all types of child maltreatment. For the most part, these associations diminished only partially when controlling for noneconomic confounders, supporting hypotheses of causal relationships. Jointly, economic factors were significant predictors of physical abuse, sexual abuse, and witnessing of domestic violence but not of emotional abuse or neglect. Retrospective perceptions of childhood poverty were, in particular, strongly associated with most forms of child maltreatment but not with sexual abuse after accounting for other economic factors. We estimated that 27% of all child maltreatment was jointly attributable to economic factors. These findings suggest that strategies that reduce economic disadvantage are likely to hold significant potential to reduce the prevalence of child maltreatment. •Economic factors independently predicted all forms of child maltreatment.•Poverty and parental unemployment were the strongest determinants of maltreatment.•An estimated 27.3% of child maltreatment was attributable to economic factors.•Physical abuse, sexual abuse, and exposure to domestic violence were most sensitive.
doi_str_mv 10.1016/j.childyouth.2016.10.012
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2027231418</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0190740916303358</els_id><sourcerecordid>2027231418</sourcerecordid><originalsourceid>FETCH-LOGICAL-c489t-753d7d9f3fcc1ed9c4638d318ebe890817d087e373246b4145f89b091eccc8c73</originalsourceid><addsrcrecordid>eNqFkE9LxDAQxYMouK5-h4Dn1qRpm_S4LusfELwoeAvpJKUp3aYmqbDf3qwrePQ0w8x7b5gfQpiSnBJa3w059HbUB7fEPi_SJI1zQosztKKCs4zzujpHK0IbkvGSNJfoKoSBEFLVVbFCHztwk9tbwLM32kJ0PmDX4Z9QvFdj9EbFvZkithNWE94sIXo12tTObl5GFa2bslYFo3FrfewxuN75eI0uOjUGc_Nb1-j9Yfe2fcpeXh-ft5uXDErRxIxXTHPddKwDoEY3UNZMaEaFaY1oiKBcE8EN46wo67akZdWJpiUNNQAggLM1uj3lzt59LiZEObjFT-mkLEjBC0ZLKpJKnFTgXQjedHL2dq_8QVIijxzlIP84yiPH4yZxTNb7k9WkL76s8TKANRMkWt5AlNrZ_0O-ATbggkk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2027231418</pqid></control><display><type>article</type><title>Economic predictors of child maltreatment in an Australian population-based birth cohort</title><source>Applied Social Sciences Index &amp; Abstracts (ASSIA)</source><source>ScienceDirect Freedom Collection 2022-2024</source><source>Sociological Abstracts</source><creator>Doidge, James C ; Higgins, Daryl J ; Delfabbro, Paul ; Edwards, Ben ; Vassallo, Suzanne ; Toumbourou, John W ; Segal, Leonie</creator><creatorcontrib>Doidge, James C ; Higgins, Daryl J ; Delfabbro, Paul ; Edwards, Ben ; Vassallo, Suzanne ; Toumbourou, John W ; Segal, Leonie</creatorcontrib><description>A correlation between socioeconomic disadvantage and child maltreatment has long been observed, but the drivers of this association are poorly understood. We sought to estimate the effects of economic factors on risk of child maltreatment after adjusting for other known influences using the Australian Temperament Project, a population-based birth cohort of 2443 individuals and their parents. We used logistic regression to estimate associations of childhood economic factors (parental education, occupation, and unemployment; type of housing; and retrospective perception of poverty) with retrospective reports of perceived child maltreatment (physical abuse, sexual abuse, emotional abuse, neglect, and witnessing of domestic violence), controlling for demographic factors, parental mental health and substance use, and child health. We then used these estimates to approximate the proportions of child maltreatment—population attributable fractions—that are theoretically preventable by addressing childhood economic disadvantage. Economic factors were associated with all types of child maltreatment. For the most part, these associations diminished only partially when controlling for noneconomic confounders, supporting hypotheses of causal relationships. Jointly, economic factors were significant predictors of physical abuse, sexual abuse, and witnessing of domestic violence but not of emotional abuse or neglect. Retrospective perceptions of childhood poverty were, in particular, strongly associated with most forms of child maltreatment but not with sexual abuse after accounting for other economic factors. We estimated that 27% of all child maltreatment was jointly attributable to economic factors. These findings suggest that strategies that reduce economic disadvantage are likely to hold significant potential to reduce the prevalence of child maltreatment. •Economic factors independently predicted all forms of child maltreatment.•Poverty and parental unemployment were the strongest determinants of maltreatment.•An estimated 27.3% of child maltreatment was attributable to economic factors.•Physical abuse, sexual abuse, and exposure to domestic violence were most sensitive.</description><identifier>ISSN: 0190-7409</identifier><identifier>EISSN: 1873-7765</identifier><identifier>DOI: 10.1016/j.childyouth.2016.10.012</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Abused children ; Associations ; Child abuse &amp; neglect ; Child abuse and neglect ; Child maltreatment ; Child poverty ; Child sexual abuse ; Childbirth &amp; labor ; Childhood ; Children ; Correlation analysis ; Demography ; Domestic violence ; Economic factors ; Elementary education ; Emotional abuse ; Housing ; Mental health ; Parents &amp; parenting ; Perceptions ; Poverty ; Regression analysis ; Risk factors ; Sexual abuse ; Social determinants ; Sociodemographics ; Socioeconomic disadvantage ; Socioeconomic factors ; Substance abuse ; Temperament ; Unemployment</subject><ispartof>Children and youth services review, 2017-01, Vol.72, p.14-25</ispartof><rights>2016 Elsevier Ltd</rights><rights>Copyright Elsevier Science Ltd. Jan 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c489t-753d7d9f3fcc1ed9c4638d318ebe890817d087e373246b4145f89b091eccc8c73</citedby><cites>FETCH-LOGICAL-c489t-753d7d9f3fcc1ed9c4638d318ebe890817d087e373246b4145f89b091eccc8c73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,30999,33774</link.rule.ids></links><search><creatorcontrib>Doidge, James C</creatorcontrib><creatorcontrib>Higgins, Daryl J</creatorcontrib><creatorcontrib>Delfabbro, Paul</creatorcontrib><creatorcontrib>Edwards, Ben</creatorcontrib><creatorcontrib>Vassallo, Suzanne</creatorcontrib><creatorcontrib>Toumbourou, John W</creatorcontrib><creatorcontrib>Segal, Leonie</creatorcontrib><title>Economic predictors of child maltreatment in an Australian population-based birth cohort</title><title>Children and youth services review</title><description>A correlation between socioeconomic disadvantage and child maltreatment has long been observed, but the drivers of this association are poorly understood. We sought to estimate the effects of economic factors on risk of child maltreatment after adjusting for other known influences using the Australian Temperament Project, a population-based birth cohort of 2443 individuals and their parents. We used logistic regression to estimate associations of childhood economic factors (parental education, occupation, and unemployment; type of housing; and retrospective perception of poverty) with retrospective reports of perceived child maltreatment (physical abuse, sexual abuse, emotional abuse, neglect, and witnessing of domestic violence), controlling for demographic factors, parental mental health and substance use, and child health. We then used these estimates to approximate the proportions of child maltreatment—population attributable fractions—that are theoretically preventable by addressing childhood economic disadvantage. Economic factors were associated with all types of child maltreatment. For the most part, these associations diminished only partially when controlling for noneconomic confounders, supporting hypotheses of causal relationships. Jointly, economic factors were significant predictors of physical abuse, sexual abuse, and witnessing of domestic violence but not of emotional abuse or neglect. Retrospective perceptions of childhood poverty were, in particular, strongly associated with most forms of child maltreatment but not with sexual abuse after accounting for other economic factors. We estimated that 27% of all child maltreatment was jointly attributable to economic factors. These findings suggest that strategies that reduce economic disadvantage are likely to hold significant potential to reduce the prevalence of child maltreatment. •Economic factors independently predicted all forms of child maltreatment.•Poverty and parental unemployment were the strongest determinants of maltreatment.•An estimated 27.3% of child maltreatment was attributable to economic factors.•Physical abuse, sexual abuse, and exposure to domestic violence were most sensitive.</description><subject>Abused children</subject><subject>Associations</subject><subject>Child abuse &amp; neglect</subject><subject>Child abuse and neglect</subject><subject>Child maltreatment</subject><subject>Child poverty</subject><subject>Child sexual abuse</subject><subject>Childbirth &amp; labor</subject><subject>Childhood</subject><subject>Children</subject><subject>Correlation analysis</subject><subject>Demography</subject><subject>Domestic violence</subject><subject>Economic factors</subject><subject>Elementary education</subject><subject>Emotional abuse</subject><subject>Housing</subject><subject>Mental health</subject><subject>Parents &amp; parenting</subject><subject>Perceptions</subject><subject>Poverty</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Sexual abuse</subject><subject>Social determinants</subject><subject>Sociodemographics</subject><subject>Socioeconomic disadvantage</subject><subject>Socioeconomic factors</subject><subject>Substance abuse</subject><subject>Temperament</subject><subject>Unemployment</subject><issn>0190-7409</issn><issn>1873-7765</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>BHHNA</sourceid><recordid>eNqFkE9LxDAQxYMouK5-h4Dn1qRpm_S4LusfELwoeAvpJKUp3aYmqbDf3qwrePQ0w8x7b5gfQpiSnBJa3w059HbUB7fEPi_SJI1zQosztKKCs4zzujpHK0IbkvGSNJfoKoSBEFLVVbFCHztwk9tbwLM32kJ0PmDX4Z9QvFdj9EbFvZkithNWE94sIXo12tTObl5GFa2bslYFo3FrfewxuN75eI0uOjUGc_Nb1-j9Yfe2fcpeXh-ft5uXDErRxIxXTHPddKwDoEY3UNZMaEaFaY1oiKBcE8EN46wo67akZdWJpiUNNQAggLM1uj3lzt59LiZEObjFT-mkLEjBC0ZLKpJKnFTgXQjedHL2dq_8QVIijxzlIP84yiPH4yZxTNb7k9WkL76s8TKANRMkWt5AlNrZ_0O-ATbggkk</recordid><startdate>201701</startdate><enddate>201701</enddate><creator>Doidge, James C</creator><creator>Higgins, Daryl J</creator><creator>Delfabbro, Paul</creator><creator>Edwards, Ben</creator><creator>Vassallo, Suzanne</creator><creator>Toumbourou, John W</creator><creator>Segal, Leonie</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7U3</scope><scope>BHHNA</scope></search><sort><creationdate>201701</creationdate><title>Economic predictors of child maltreatment in an Australian population-based birth cohort</title><author>Doidge, James C ; Higgins, Daryl J ; Delfabbro, Paul ; Edwards, Ben ; Vassallo, Suzanne ; Toumbourou, John W ; Segal, Leonie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c489t-753d7d9f3fcc1ed9c4638d318ebe890817d087e373246b4145f89b091eccc8c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Abused children</topic><topic>Associations</topic><topic>Child abuse &amp; neglect</topic><topic>Child abuse and neglect</topic><topic>Child maltreatment</topic><topic>Child poverty</topic><topic>Child sexual abuse</topic><topic>Childbirth &amp; labor</topic><topic>Childhood</topic><topic>Children</topic><topic>Correlation analysis</topic><topic>Demography</topic><topic>Domestic violence</topic><topic>Economic factors</topic><topic>Elementary education</topic><topic>Emotional abuse</topic><topic>Housing</topic><topic>Mental health</topic><topic>Parents &amp; parenting</topic><topic>Perceptions</topic><topic>Poverty</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>Sexual abuse</topic><topic>Social determinants</topic><topic>Sociodemographics</topic><topic>Socioeconomic disadvantage</topic><topic>Socioeconomic factors</topic><topic>Substance abuse</topic><topic>Temperament</topic><topic>Unemployment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Doidge, James C</creatorcontrib><creatorcontrib>Higgins, Daryl J</creatorcontrib><creatorcontrib>Delfabbro, Paul</creatorcontrib><creatorcontrib>Edwards, Ben</creatorcontrib><creatorcontrib>Vassallo, Suzanne</creatorcontrib><creatorcontrib>Toumbourou, John W</creatorcontrib><creatorcontrib>Segal, Leonie</creatorcontrib><collection>CrossRef</collection><collection>Applied Social Sciences Index &amp; Abstracts (ASSIA)</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts</collection><jtitle>Children and youth services review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Doidge, James C</au><au>Higgins, Daryl J</au><au>Delfabbro, Paul</au><au>Edwards, Ben</au><au>Vassallo, Suzanne</au><au>Toumbourou, John W</au><au>Segal, Leonie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Economic predictors of child maltreatment in an Australian population-based birth cohort</atitle><jtitle>Children and youth services review</jtitle><date>2017-01</date><risdate>2017</risdate><volume>72</volume><spage>14</spage><epage>25</epage><pages>14-25</pages><issn>0190-7409</issn><eissn>1873-7765</eissn><abstract>A correlation between socioeconomic disadvantage and child maltreatment has long been observed, but the drivers of this association are poorly understood. We sought to estimate the effects of economic factors on risk of child maltreatment after adjusting for other known influences using the Australian Temperament Project, a population-based birth cohort of 2443 individuals and their parents. We used logistic regression to estimate associations of childhood economic factors (parental education, occupation, and unemployment; type of housing; and retrospective perception of poverty) with retrospective reports of perceived child maltreatment (physical abuse, sexual abuse, emotional abuse, neglect, and witnessing of domestic violence), controlling for demographic factors, parental mental health and substance use, and child health. We then used these estimates to approximate the proportions of child maltreatment—population attributable fractions—that are theoretically preventable by addressing childhood economic disadvantage. Economic factors were associated with all types of child maltreatment. For the most part, these associations diminished only partially when controlling for noneconomic confounders, supporting hypotheses of causal relationships. Jointly, economic factors were significant predictors of physical abuse, sexual abuse, and witnessing of domestic violence but not of emotional abuse or neglect. Retrospective perceptions of childhood poverty were, in particular, strongly associated with most forms of child maltreatment but not with sexual abuse after accounting for other economic factors. We estimated that 27% of all child maltreatment was jointly attributable to economic factors. These findings suggest that strategies that reduce economic disadvantage are likely to hold significant potential to reduce the prevalence of child maltreatment. •Economic factors independently predicted all forms of child maltreatment.•Poverty and parental unemployment were the strongest determinants of maltreatment.•An estimated 27.3% of child maltreatment was attributable to economic factors.•Physical abuse, sexual abuse, and exposure to domestic violence were most sensitive.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.childyouth.2016.10.012</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0190-7409
ispartof Children and youth services review, 2017-01, Vol.72, p.14-25
issn 0190-7409
1873-7765
language eng
recordid cdi_proquest_journals_2027231418
source Applied Social Sciences Index & Abstracts (ASSIA); ScienceDirect Freedom Collection 2022-2024; Sociological Abstracts
subjects Abused children
Associations
Child abuse & neglect
Child abuse and neglect
Child maltreatment
Child poverty
Child sexual abuse
Childbirth & labor
Childhood
Children
Correlation analysis
Demography
Domestic violence
Economic factors
Elementary education
Emotional abuse
Housing
Mental health
Parents & parenting
Perceptions
Poverty
Regression analysis
Risk factors
Sexual abuse
Social determinants
Sociodemographics
Socioeconomic disadvantage
Socioeconomic factors
Substance abuse
Temperament
Unemployment
title Economic predictors of child maltreatment in an Australian population-based birth cohort
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T19%3A43%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Economic%20predictors%20of%20child%20maltreatment%20in%20an%20Australian%20population-based%20birth%20cohort&rft.jtitle=Children%20and%20youth%20services%20review&rft.au=Doidge,%20James%20C&rft.date=2017-01&rft.volume=72&rft.spage=14&rft.epage=25&rft.pages=14-25&rft.issn=0190-7409&rft.eissn=1873-7765&rft_id=info:doi/10.1016/j.childyouth.2016.10.012&rft_dat=%3Cproquest_cross%3E2027231418%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c489t-753d7d9f3fcc1ed9c4638d318ebe890817d087e373246b4145f89b091eccc8c73%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2027231418&rft_id=info:pmid/&rfr_iscdi=true