Dataset Information

Neighborhood Contexts and Child Maltreatment Reports Among Families Receiving AFDC/TANF: A Longitudinal and Multilevel Study.

ABSTRACT: Attention to the relationship between neighborhood context and child maltreatment is growing. However, no study exists that considers families' residential moves and neighborhood changes longitudinally. This is particularly relevant to disadvantaged families who move frequently. Our sample includes children who experienced a child maltreatment report (CMR) or an AFDC case in early childhood. We followed up these children from 1995 to 2009 through various administrative databases. We used multilevel logistic growth curve models to estimate the CMR likelihood at each age from 1 to 16. Estimates were limited to ages on AFDC/TANF to trace families' residential addresses based on AFDC/TANF payee records. Our findings highlight the importance of tracing residential neighborhoods in a longitudinal study. While doing so, we identify some possible neighborhood contextual influences. These, however, are small in contribution to overall risk and are less observable among children that are more vulnerable.

SUBMITTER: Kim H

PROVIDER: S-EPMC8283801 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

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Neighborhood Contexts and Child Maltreatment Reports Among Families Receiving AFDC/TANF: A Longitudinal and Multilevel Study.

Kim Hyunil H Drake Brett B Jonson-Reid Melissa M

Child maltreatment 20201029 1

Attention to the relationship between neighborhood context and child maltreatment is growing. However, no study exists that considers families' residential moves and neighborhood changes longitudinally. This is particularly relevant to disadvantaged families who move frequently. Our sample includes children who experienced a child maltreatment report (CMR) or an AFDC case in early childhood. We followed up these children from 1995 to 2009 through various administrative databases. We used multile ...[more]

PMID: 33118375

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Project description:In this study, we analyze first whether there is a common spatial distribution of child maltreatment (CM) and intimate partner violence (IPV), and second, whether the risks of CM and IPV are influenced by the same neighborhood characteristics, and if these risks spatially overlap. To this end we used geocoded data of CM referrals (N = 588) and IPV incidents (N = 1450) in the city of Valencia (Spain). As neighborhood proxies, we used 552 census block groups. Neighborhood characteristics analyzed at the aggregated level (census block groups) were: Neighborhood concentrated disadvantage (neighborhood economic status, neighborhood education level, and policing activity), immigrant concentration, and residential instability. A Bayesian joint modeling approach was used to examine the spatial distribution of CM and IPV, and a Bayesian random-effects modeling approach was used to analyze the influence of neighborhood-level characteristics on small-area variations of CM and IPV risks. For CM, 98% of the total between-area variation in risk was captured by a shared spatial component, while for IPV the shared component was 77%. The risks of CM and IPV were higher in neighborhoods characterized by lower levels of economic status and education, and higher levels of policing activity, immigrant concentration, and residential instability. The correlation between the log relative risk of CM and IPV was .85. Most census block groups had either low or high risks in both outcomes (with only 10.5% of the areas with mismatched risks). These results show that certain neighborhood characteristics are associated with an increase in the risk of family violence, regardless of whether this violence is against children or against intimate partners. Identifying these high-risk areas can inform a more integrated community-level response to both types of family violence. Future research should consider a community-level approach to address both types of family violence, as opposed to individual-level intervention addressing each type of violence separately.

Project description:ObjectivesTo examine associations between child maltreatment and health service use, both overall, by type and by the number of types of maltreatment reported.Design, settingCross-sectional, retrospective survey using the Juvenile Victimization Questionnaire-R2: Adapted Version (Australian Child Maltreatment Study); computer-assisted mobile telephone interviews using random digit dialling, Australia, 9 April - 11 October 2021.ParticipantsAustralians aged 16 years or more. The target sample size was 8500 respondents: 3500 people aged 16-24 years and 1000 respondents each from the five age groups (25-34, 35-44, 45-54, 55-64, 65 years or more).Main outcome measuresSelf-reported health service use during the past twelve months: hospital admissions, length of stay, and reasons for admission; and numbers of consultations with health care professionals, overall and by type. Associations between maltreatment and health service use are reported as odds ratios adjusted for age group, gender, socio-economic status, financial hardship (childhood and current), and geographic remoteness.ResultsA total of 8503 participants completed the survey. Respondents who had experienced child maltreatment were significantly more likely than those who had not to report a hospital admission during the preceding twelve months (adjusted odds ratio [aOR], 1.39; 95% confidence interval [CI], 1.16-1.66), particularly admission with a mental disorder (aOR, 2.4; 95% CI, 1.03-5.6). The likelihood of six or more visits to general practitioners (aOR, 2.37; 95% CI, 1.87-3.02) or of a consultation with a mental health nurse (aOR, 2.67; 95% CI, 1.75-4.06), psychologist (aOR, 2.40; 95% CI, 2.00-2.88), or psychiatrist (aOR, 3.02; 95% CI, 2.25-4.04) were each higher for people who reported maltreatment during childhood. People who reported three or more maltreatment types were generally most likely to report greater health service use.ConclusionsChild maltreatment has a major impact on health service use. Early, targeted interventions are vital, not only for supporting children directly, but also for their longer term wellbeing and reducing their health system use throughout life.

Project description:Current literature suggests that food insecurity increases child maltreatment risk. Yet, existing evidence is limited to individual-level associations among low-income, high-risk populations based on local, mostly urban data. This study aims to generalize prior findings to community-level associations in general populations, using national data including all urban-rural areas. We examined, for the first time, if food insecurity rates increase child maltreatment report (CMR) rates at the county level after controlling for potential confounders. We examined both within-community longitudinal changes (i.e., within-effects) and inter-community differences (i.e., between-effects) of food insecurity rates and their associations with CMR rates. We also examined differences by age, sex, race/ethnicity, maltreatment type, and urbanicity. We constructed longitudinal county-level data by linking multiple national databases, including all substantiated and unsubstantiated CMR records, the Map the Meal Gap's community food insecurity estimates, and Census data. The data covered over 96% of U.S. counties from 2009 to 2018. For analysis, we used within-between random effects models. Regarding between-effects, we found that in inter-community comparisons, higher food insecurity rates were significantly associated with increased CMR rates. This association was consistent by age, sex, maltreatment type, and urbanicity. For within-effects, we found that the association between longitudinal changes of food insecurity rates and CMR rates significantly differed by urbanicity. Specifically, longitudinal increases of food insecurity rates significantly increased CMR rates among large urban counties, but not among small urban and rural counties. Study findings highlight the importance of conducting further research to better understand the mechanisms through which food insecurity impact child maltreatment at both individual and community levels. Our community-level findings from general populations especially have significant implications for community-based programs and large-scale policies to achieve population-level impact on child well-being.

Dataset Information

Neighborhood Contexts and Child Maltreatment Reports Among Families Receiving AFDC/TANF: A Longitudinal and Multilevel Study.

Publications

Neighborhood Contexts and Child Maltreatment Reports Among Families Receiving AFDC/TANF: A Longitudinal and Multilevel Study.

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