How Do Maternal Risk Factors Affect Children in Low-Income Families?

Hair, Elizabeth C.; McGroder, Sharon M.; Zaslow, Martha; Ahluwalia, Surjeet K.; Moore, Kristin Anderson

doi:10.1300/j005v23n01_05

Cited by 18 publications

(13 citation statements)

References 10 publications

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“…Parenting style is a well-documented indicator linked to youth violence (Eisenberg et al, 1999;Hair, McGroder, Zaslow, Ahluwalia, & Moore, 2002;Patterson, Capaldi, & Bank, 1991;Patterson & Stouthamer-Loeber, 1984), especially the inconsistent parenting connected with family violence. As well, parenting style is central to understanding why adolescents stay violence-free despite experiencing family violence (Bates, Bader, & Mencken, 2003;Phythian, Keane, & Krull, 2008).…”

Section: Predicting the Violence Resilience Of Adolescentsmentioning

confidence: 99%

A Dynamic and Gender Sensitive Understanding of Adolescents’ Personal and School Resilience Characteristics Despite Family Violence: The Predictive Power of the Family Violence Burden Level

Kassis

Artz

Moldenhauer

et al. 2015

ijcyfs

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Abstract:In this cross-sectional study on family violence and resilience in a sample of 5,149 middle-school students with a mean age of 14.5 years from four European Union countries (Austria, Germany, Slovenia, and Spain), we worked from the premise that resilience should not be conceptualized as a dichotomous variable. We therefore examined the gender-specific personal and social characteristics of resilience at the three levels "resilient", "near-resilient", and "non-resilient". We also expanded our definition of resilience to include the absence of both externalized and internalized problem behaviours in adolescents who have been exposed to violence in their families. Using multinomial logistic regression we found reliable gender differences in the protective and risk factors between the three resilience levels. We also found that the achieved reliability of our resilience classifications is very high. Our findings suggest that adolescents' positive adjustment despite family violence is affected only in small part by school characteristics. The co-morbidity of social risks in the family and individual factors explains a much larger part of the variance in the analysis. From a content perspective this means that an individual's "resilience status" can be influenced in a focused way by moderating the living environment. These results are discussed in terms of their practical implications for policy.

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Section: Predicting the Violence Resilience Of Adolescentsmentioning

confidence: 99%

A Dynamic and Gender Sensitive Understanding of Adolescents’ Personal and School Resilience Characteristics Despite Family Violence: The Predictive Power of the Family Violence Burden Level

Kassis

Artz

Moldenhauer

et al. 2015

ijcyfs

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show abstract

“…It increases the caregivers’ risk for social, economic and work-related difficultiese.g., reduced productivity, absenteeism), morbidity and premature mortality (Ballenger et al, 2001; Fawcett, 1993; Kessler, 2003; McTernan, Dollard, & LaMontagne, 2013; Reading & Reynolds, 2001). Their children experience academic, cognitive, behavioral, mental health, and peer-related difficulties from infancy through adolescence (Ashman, Dawson, & Panagiotides, 2008; Hair, McGroder, Zaslow, Ahluwalia, & Moore, 2002; Lewinsohn, Holm-Denoma, Small, Seeley, & Joiner, 2008; Riley et al, 2008; Rishel et al, 2006; Weissman et al, 2004). Among families who are part of the child welfare system, depression is associated with critical, harsh, and punitive parenting practices (Kohl et al, 2010, 2011; Lovejoy, Graczyk, O’Hare, & Neuman, 2000), child abuse and neglect (Bunger et al, 2012; Chaffin & Bard, 2011; Kohl et al, 2010; Thompson, Tabone, & Cook, 2012), and critically, loss of custody of their children (Park, Solomon, & Mandell, 2006).…”

Section: 1 Introductionmentioning

confidence: 99%

Depression and Service Use Among Caregivers Dually Involved in the Child Welfare and Mental Health Systems

Acri

Gopalan

Lalayants

et al. 2015

Social Work in Mental Health

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Introduction The purpose of this study was to investigate the prevalence of depression, use of mental health services, and correlates of service use among caregivers who are dually involved in the child welfare and child mental health systems. Methods This study analyzed baseline data from 129 caregivers who reported child welfare system involvement and were participating in a Multiple Family Group service delivery model to reduce childhood disruptive behavior disorders. Results Seventy-eight (60.5%) of caregivers met or exceed the clinical-cut off for depression; of them 50 (64.1%) reported utilizing mental health services for their emotional health. Race, employment status, and CES-D score were significantly associated with lifetime mental heath services use. Discussion Depression rates exceeded those found among caregiver involved in either the child welfare or child mental health systems. Rates of service use were higher than found in existing research. As expected, racial differences and depression were associated with service use; contrary to expectations, full time employment was not associated with service use. Discrepancies between this study and existing research are discussed, as are practice, policy, and research implications.

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“…Depression puts mothers at risk for economic and social difficulties, morbidity, and premature mortality (Ballenger et al, 2001; Fawcett, 1993; Kessler, 2003). Their offspring experience academic, cognitive, behavioral, mental health, and peer-related difficulties from infancy through adolescence (Ashman, Dawson, & Panagiotides, 2008; Hair, McGroder, Zaslow, Ahluwalia, & Moore, 2002; Lewinsohn, Holm-Denoma, Small, Seeley, & Joiner, 2008; Riley et al, 2008; Rishel et al, 2006; Weissman et al, 2004). For youth with mental health conditions, maternal depression is associated with less optimal therapeutic progress (Beauchaine et al 2005; Pilowsky et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Examining the Feasibility and Acceptability of a Screening and Outreach Model Developed for a Peer Workforce

et al. 2013

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How Do Maternal Risk Factors Affect Children in Low-Income Families?

Cited by 18 publications

References 10 publications

A Dynamic and Gender Sensitive Understanding of Adolescents’ Personal and School Resilience Characteristics Despite Family Violence: The Predictive Power of the Family Violence Burden Level

A Dynamic and Gender Sensitive Understanding of Adolescents’ Personal and School Resilience Characteristics Despite Family Violence: The Predictive Power of the Family Violence Burden Level

Depression and Service Use Among Caregivers Dually Involved in the Child Welfare and Mental Health Systems

Examining the Feasibility and Acceptability of a Screening and Outreach Model Developed for a Peer Workforce

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