The Australian Child Maltreatment Study (ACMS), a national survey of the prevalence of child maltreatment and its correlates: methodology
Objectives To describe the aims, design, methodology, and respondent sample representativeness of the Australian Child Maltreatment Study (ACMS). Design, setting Cross‐sectional, retrospective survey; computer‐assisted mobile telephone interviewing using random digit dialling (computer‐generated), A...
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| Vydáno v: | Medical journal of Australia Ročník 218; číslo S6; s. S5 - S12 |
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| Hlavní autoři: | , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Australia
John Wiley and Sons Inc
03.04.2023
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| ISSN: | 0025-729X, 1326-5377, 1326-5377 |
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| Abstract | Objectives
To describe the aims, design, methodology, and respondent sample representativeness of the Australian Child Maltreatment Study (ACMS).
Design, setting
Cross‐sectional, retrospective survey; computer‐assisted mobile telephone interviewing using random digit dialling (computer‐generated), Australia, 9 April – 11 October 2021.
Participants
People aged 16 years or more. The target sample size was 8500 respondents: 3500 people aged 16–24 years and 1000 respondents each from five further age groups (25–34, 35–44, 45–54, 55–64, 65 years or more).
Main outcome measures
Primary outcomes: Emotional abuse, neglect, physical abuse, sexual abuse, exposure to domestic violence during childhood, assessed with the Juvenile Victimization Questionnaire‐R2 Adapted Version (Australian Child Maltreatment Study). Secondary outcomes: selected mental disorder diagnoses (Mini International Neuropsychiatric Interview, MINI), selected physical health conditions, health risk behaviours, health service use.
Results
The demographic characteristics of the ACMS sample were similar to those of the Australian population in 2016 with respect to gender, Indigenous status, region and remoteness category of residence, and marital status, but larger proportions of participants were born in Australia, lived in areas of higher socio‐economic status, had tertiary qualifications, and had income greater than $1250 per week. Population weights were derived to adjust for these differences. Associations between the number of calls required to recruit participants and maltreatment rates and health outcomes were not statistically significant.
Conclusions
The ACMS provides the first reliable estimates of the prevalence of each type of child maltreatment in Australia. These estimates, and those of associated mental health and health risk behaviours reported in this supplement can inform policy and practice initiatives for reducing the prevalence of child maltreatment and its consequences. Our benchmark study also provides baseline data for repeated waves of the ACMS that will assess the effectiveness of these initiatives. |
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| AbstractList | To describe the aims, design, methodology, and respondent sample representativeness of the Australian Child Maltreatment Study (ACMS).OBJECTIVESTo describe the aims, design, methodology, and respondent sample representativeness of the Australian Child Maltreatment Study (ACMS).Cross-sectional, retrospective survey; computer-assisted mobile telephone interviewing using random digit dialling (computer-generated), Australia, 9 April - 11 October 2021.DESIGN, SETTINGCross-sectional, retrospective survey; computer-assisted mobile telephone interviewing using random digit dialling (computer-generated), Australia, 9 April - 11 October 2021.People aged 16 years or more. The target sample size was 8500 respondents: 3500 people aged 16-24 years and 1000 respondents each from five further age groups (25-34, 35-44, 45-54, 55-64, 65 years or more).PARTICIPANTSPeople aged 16 years or more. The target sample size was 8500 respondents: 3500 people aged 16-24 years and 1000 respondents each from five further age groups (25-34, 35-44, 45-54, 55-64, 65 years or more).Primary outcomes: Emotional abuse, neglect, physical abuse, sexual abuse, exposure to domestic violence during childhood, assessed with the Juvenile Victimization Questionnaire-R2 Adapted Version (Australian Child Maltreatment Study).MAIN OUTCOME MEASURESPrimary outcomes: Emotional abuse, neglect, physical abuse, sexual abuse, exposure to domestic violence during childhood, assessed with the Juvenile Victimization Questionnaire-R2 Adapted Version (Australian Child Maltreatment Study).selected mental disorder diagnoses (Mini International Neuropsychiatric Interview, MINI), selected physical health conditions, health risk behaviours, health service use.SECONDARY OUTCOMESselected mental disorder diagnoses (Mini International Neuropsychiatric Interview, MINI), selected physical health conditions, health risk behaviours, health service use.The demographic characteristics of the ACMS sample were similar to those of the Australian population in 2016 with respect to gender, Indigenous status, region and remoteness category of residence, and marital status, but larger proportions of participants were born in Australia, lived in areas of higher socio-economic status, had tertiary qualifications, and had income greater than $1250 per week. Population weights were derived to adjust for these differences. Associations between the number of calls required to recruit participants and maltreatment rates and health outcomes were not statistically significant.RESULTSThe demographic characteristics of the ACMS sample were similar to those of the Australian population in 2016 with respect to gender, Indigenous status, region and remoteness category of residence, and marital status, but larger proportions of participants were born in Australia, lived in areas of higher socio-economic status, had tertiary qualifications, and had income greater than $1250 per week. Population weights were derived to adjust for these differences. Associations between the number of calls required to recruit participants and maltreatment rates and health outcomes were not statistically significant.The ACMS provides the first reliable estimates of the prevalence of each type of child maltreatment in Australia. These estimates, and those of associated mental health and health risk behaviours reported in this supplement can inform policy and practice initiatives for reducing the prevalence of child maltreatment and its consequences. Our benchmark study also provides baseline data for repeated waves of the ACMS that will assess the effectiveness of these initiatives.CONCLUSIONSThe ACMS provides the first reliable estimates of the prevalence of each type of child maltreatment in Australia. These estimates, and those of associated mental health and health risk behaviours reported in this supplement can inform policy and practice initiatives for reducing the prevalence of child maltreatment and its consequences. Our benchmark study also provides baseline data for repeated waves of the ACMS that will assess the effectiveness of these initiatives. To describe the aims, design, methodology, and respondent sample representativeness of the Australian Child Maltreatment Study (ACMS). Cross-sectional, retrospective survey; computer-assisted mobile telephone interviewing using random digit dialling (computer-generated), Australia, 9 April - 11 October 2021. People aged 16 years or more. The target sample size was 8500 respondents: 3500 people aged 16-24 years and 1000 respondents each from five further age groups (25-34, 35-44, 45-54, 55-64, 65 years or more). Primary outcomes: Emotional abuse, neglect, physical abuse, sexual abuse, exposure to domestic violence during childhood, assessed with the Juvenile Victimization Questionnaire-R2 Adapted Version (Australian Child Maltreatment Study). selected mental disorder diagnoses (Mini International Neuropsychiatric Interview, MINI), selected physical health conditions, health risk behaviours, health service use. The demographic characteristics of the ACMS sample were similar to those of the Australian population in 2016 with respect to gender, Indigenous status, region and remoteness category of residence, and marital status, but larger proportions of participants were born in Australia, lived in areas of higher socio-economic status, had tertiary qualifications, and had income greater than $1250 per week. Population weights were derived to adjust for these differences. Associations between the number of calls required to recruit participants and maltreatment rates and health outcomes were not statistically significant. The ACMS provides the first reliable estimates of the prevalence of each type of child maltreatment in Australia. These estimates, and those of associated mental health and health risk behaviours reported in this supplement can inform policy and practice initiatives for reducing the prevalence of child maltreatment and its consequences. Our benchmark study also provides baseline data for repeated waves of the ACMS that will assess the effectiveness of these initiatives. Objectives To describe the aims, design, methodology, and respondent sample representativeness of the Australian Child Maltreatment Study (ACMS). Design, setting Cross‐sectional, retrospective survey; computer‐assisted mobile telephone interviewing using random digit dialling (computer‐generated), Australia, 9 April – 11 October 2021. Participants People aged 16 years or more. The target sample size was 8500 respondents: 3500 people aged 16–24 years and 1000 respondents each from five further age groups (25–34, 35–44, 45–54, 55–64, 65 years or more). Main outcome measures Primary outcomes: Emotional abuse, neglect, physical abuse, sexual abuse, exposure to domestic violence during childhood, assessed with the Juvenile Victimization Questionnaire‐R2 Adapted Version (Australian Child Maltreatment Study). Secondary outcomes: selected mental disorder diagnoses (Mini International Neuropsychiatric Interview, MINI), selected physical health conditions, health risk behaviours, health service use. Results The demographic characteristics of the ACMS sample were similar to those of the Australian population in 2016 with respect to gender, Indigenous status, region and remoteness category of residence, and marital status, but larger proportions of participants were born in Australia, lived in areas of higher socio‐economic status, had tertiary qualifications, and had income greater than $1250 per week. Population weights were derived to adjust for these differences. Associations between the number of calls required to recruit participants and maltreatment rates and health outcomes were not statistically significant. Conclusions The ACMS provides the first reliable estimates of the prevalence of each type of child maltreatment in Australia. These estimates, and those of associated mental health and health risk behaviours reported in this supplement can inform policy and practice initiatives for reducing the prevalence of child maltreatment and its consequences. Our benchmark study also provides baseline data for repeated waves of the ACMS that will assess the effectiveness of these initiatives. |
| Author | Mathews, Ben Dunne, Michael P Meinck, Franziska Thomas, Hannah J Haslam, Divna M Scott, James G Erskine, Holly E Finkelhor, David Higgins, Daryl J Pacella, Rosana Hunt, Anna Malacova, Eva Lawrence, David M |
| AuthorAffiliation | 12 Institute for Lifecourse Development University of Greenwich London United Kingdom 9 The University of Queensland Brisbane QLD 8 Institute for Community Health Research Hue University Hue City Vietnam 7 QIMR Berghofer Medical Research Institute Brisbane QLD 3 Curtin University Perth WA 11 Crimes against Children Research Center University of New Hampshire Durham NH United States of America 14 University of the Witwatersrand Johannesburg Johannesburg South Africa 2 Parenting and Family Support Centre, the University of Queensland Brisbane QLD 10 Queensland Centre for Mental Health Research Brisbane QLD 4 Bloomberg School of Public Health Johns Hopkins University Baltimore MD United States of America 1 Queensland University of Technology Brisbane QLD 13 University of Edinburgh Edinburgh United Kingdom 5 Institute of Child Protection Studies Australian Catholic University Melbourne VIC 6 Child Health Research Centre, the University of Queensland Brisbane QLD |
| AuthorAffiliation_xml | – name: 7 QIMR Berghofer Medical Research Institute Brisbane QLD – name: 12 Institute for Lifecourse Development University of Greenwich London United Kingdom – name: 2 Parenting and Family Support Centre, the University of Queensland Brisbane QLD – name: 9 The University of Queensland Brisbane QLD – name: 11 Crimes against Children Research Center University of New Hampshire Durham NH United States of America – name: 8 Institute for Community Health Research Hue University Hue City Vietnam – name: 6 Child Health Research Centre, the University of Queensland Brisbane QLD – name: 1 Queensland University of Technology Brisbane QLD – name: 5 Institute of Child Protection Studies Australian Catholic University Melbourne VIC – name: 14 University of the Witwatersrand Johannesburg Johannesburg South Africa – name: 3 Curtin University Perth WA – name: 4 Bloomberg School of Public Health Johns Hopkins University Baltimore MD United States of America – name: 13 University of Edinburgh Edinburgh United Kingdom – name: 10 Queensland Centre for Mental Health Research Brisbane QLD |
| Author_xml | – sequence: 1 givenname: Divna M orcidid: 0000-0002-5354-8710 surname: Haslam fullname: Haslam, Divna M email: divna.haslam@qut.edu.au organization: Parenting and Family Support Centre, the University of Queensland – sequence: 2 givenname: David M orcidid: 0000-0003-4700-1425 surname: Lawrence fullname: Lawrence, David M organization: Curtin University – sequence: 3 givenname: Ben orcidid: 0000-0003-0421-0016 surname: Mathews fullname: Mathews, Ben organization: Johns Hopkins University – sequence: 4 givenname: Daryl J orcidid: 0000-0003-0268-8243 surname: Higgins fullname: Higgins, Daryl J organization: Australian Catholic University – sequence: 5 givenname: Anna surname: Hunt fullname: Hunt, Anna organization: Curtin University – sequence: 6 givenname: James G orcidid: 0000-0002-0744-0688 surname: Scott fullname: Scott, James G organization: QIMR Berghofer Medical Research Institute – sequence: 7 givenname: Michael P surname: Dunne fullname: Dunne, Michael P organization: Hue University – sequence: 8 givenname: Holly E surname: Erskine fullname: Erskine, Holly E organization: Queensland Centre for Mental Health Research – sequence: 9 givenname: Hannah J orcidid: 0000-0001-7897-7821 surname: Thomas fullname: Thomas, Hannah J organization: Queensland Centre for Mental Health Research – sequence: 10 givenname: David surname: Finkelhor fullname: Finkelhor, David organization: University of New Hampshire – sequence: 11 givenname: Rosana orcidid: 0000-0002-9742-1957 surname: Pacella fullname: Pacella, Rosana organization: University of Greenwich – sequence: 12 givenname: Franziska surname: Meinck fullname: Meinck, Franziska organization: University of the Witwatersrand Johannesburg – sequence: 13 givenname: Eva surname: Malacova fullname: Malacova, Eva organization: QIMR Berghofer Medical Research Institute |
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| Keywords | Child welfare Child abuse Healthcare disparities Mental disorders Epidemiology |
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To describe the aims, design, methodology, and respondent sample representativeness of the Australian Child Maltreatment Study (ACMS).
Design,... To describe the aims, design, methodology, and respondent sample representativeness of the Australian Child Maltreatment Study (ACMS). Cross-sectional,... To describe the aims, design, methodology, and respondent sample representativeness of the Australian Child Maltreatment Study (ACMS).OBJECTIVESTo describe the... |
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| SubjectTerms | Australia - epidemiology Child Child abuse Child Abuse - psychology Child welfare Cross-Sectional Studies Epidemiology Healthcare disparities Humans Mental Disorders Pediatric Medicine Prevalence Retrospective Studies Social Determinants of Health Statistics, Epidemiology and Research Design |
| Title | The Australian Child Maltreatment Study (ACMS), a national survey of the prevalence of child maltreatment and its correlates: methodology |
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