Behavioral and pharmacological interventions for the prevention and treatment of psychiatric disorders with children exposed to maltreatment

Shenk, Chad E.; Keeshin, Brooks; Bensman, Heather E.; Olson, Anneke E.; Allen, Brian

doi:10.1016/j.pbb.2021.173298

Cited by 10 publications

(7 citation statements)

References 178 publications

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“…It stated that the perceived social support was significantly higher in obese with mean rank 278.75 than non-obese with mean rank 222.25, U = 24186.50, Wilcoxon W = 55561.50, Z = -4.390 p = .000. This finding goes in line with previous studies as there was positive relationship between high social status and obesity, 21 high parental support increases social vulnerabilities towards easy food access which leads to obesity, 23 and there was positive association between support network and body mad index. 22 Table 5, represented mean difference in mental health among 250 obese and 250 non-obese using Mann-Whitney test.…”

Section: Resultssupporting

confidence: 91%

“…21% of obese in moderate social support and 6% of them in low social support, while 39% of non-obese in moderate and 12% of them in low social support. This finding goes in line side by side with previous studies as obese people have high social support due to their high social status as wealthy, 21 social support structure have positive relationship with overweight and obesity, 22 high social supports creates room for obesity due to supportive accessibility towards social vulnerable atmosphere as over parental support and comfortable food access, 23 and social ties prone to obesity especially in obesity causing environment. 24 Thus, emerging obesity risks are due to high social support especially from family, friend, social structure or social relations.…”

Section: Resultssupporting

confidence: 86%

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Social Support and Mental Health among Obese and Non-obese

Adam

2022

CHCMJ

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Context: Due to modernization, overeating becomes as trending topic due to its disturbance on our energy balance system and body weight. Behavioural issues such as overeating and sedentary lifestyle have impact on health through an increase in body mass index due to excessive deposition of body fat. Thus, it impacts on our body weight through positive energy balance in which there is an increase energy intake and decrease energy expenditure. On the other hand, it can be controlled through appropriate social support and optimum mental health. Aims: The objective of this study was to reveal predictor role of social support on mental health among obese and non-obese using regression analysis, to know mean difference in social support and mental health using Mann-Whitney test, and to identify the level of social support and mental health among obese and non-obese individuals. Methods and Material: The study design was non-experimental, quantitative study with descriptive in nature. The participants were 250 obese and 250 non-obese people and were collected from in Cuddalore district of Tamil Nadu, India. Both obese and non-obese participants were asked them to fill questionnaires with psychological tools namely the mental health inventory-38 (MHI-38) and multidimensional perceived social support scale (MDPSS). Results: The data distribution were in non-normal pattern and the statistical test used were non-parametric test. The results stated that the predictor variable social support has shown significant positive impact on mental health. The effect of social support over mental health was high among non-obese (R = .406, R2 = .168, adjusted R2=.164, co-efficient B = .667 and p = .000) than obese (R = .522, R2 = .272, adjusted R2 = .270, co-efficient B = .729 and p = .000). Social support and mental health have significant mean BMI difference among obese and non-obese in which obese people have higher social support and low mental health than non-obese people.

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Section: Resultssupporting

confidence: 91%

Section: Resultssupporting

confidence: 86%

Social Support and Mental Health among Obese and Non-obese

Adam

2022

CHCMJ

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“…To be most effective, these need to be underpinned by policies ensuring a living minimum wage and welfare support, and affordable and available child care and housing. The provision of evidence‐based mental health interventions that address the harms experienced by maltreated children 31 , 32 is required to prevent mental disorders from emerging and persisting throughout life; this has the potential to reduce associated costs and burden on the health care system.…”

Section: Discussionmentioning

confidence: 99%

The association between child maltreatment and mental disorders in the Australian Child Maltreatment Study

Scott

Malacova

Mathews

et al. 2023

Medical Journal of Australia

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Objectives: To examine the associations between experiences of child maltreatment and mental disorders in the Australian population.Design: Population-representative survey conducted by computerassisted telephone interviewing.Setting, participants: Australian residents aged 16 years and older.Main outcome measures: Mental disorder diagnoses of lifetime major depressive disorder, current alcohol use disorder (mild, moderate and severe), current generalised anxiety disorder and current post-traumatic stress disorder.

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“…Where childhood trauma is present, typ-ical pharmacological treatments may be less effective, potentially indicative of heterogeneous causal pathways for various MH conditions. 20,21 Similarly, behavioral treatments that do not address trauma as a proximal cause of symptoms may be less effective (e.g., traditional cognitive-behavioral therapy [CBT] vs trauma-focused CBT).…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Mental Health Diagnoses Among Early Adolescents Before and During Foster Care

Herd

Palmer

Font

2023

J Dev Behav Pediatr

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:Objective:This study aimed to characterize the rates and types of diagnosed mental health (MH) disorders among children and adolescents before and during foster care (FC) overall and by race and ethnicity.Methods:We used population-based linked administrative data of medical assistance (public insurance) claims records and child protective services data from a cohort of early adolescents who entered FC at 10 to 14 years old. MH diagnoses were coded according to the International Classification of Diseases, Ninth and Tenth Revisions, Clinical Modification (ICD-9 and ICD-10) and included adjustment disorders, disruptive disorders, attention-deficit/hyperactivity disorder (ADHD), anxiety disorders, mood disorders, attachment disorders, autism, and other disorders.Results:Before FC entry, 41% of children and adolescents had at least 1 MH diagnosis. Attention-deficit/hyperactivity disorder (25%), mood disorders (18%), and disruptive disorders (15%) were the most common pre-entry diagnoses. Among early adolescents entering FC with no previous diagnosis, 52% were later diagnosed with adjustment disorder (accounting for 73% of all youth with a new diagnosis during FC). White early adolescents had higher rates of diagnosed MH disorders before FC, whereas racial/ethnic minority early adolescents were more likely to receive a MH diagnosis during FC. Black early adolescents were more likely than White and Hispanic early adolescents to be diagnosed with disruptive disorders and less likely to be diagnosed with anxiety or adjustment disorders during FC.Conclusion:Results highlight the high rates of MH needs among early adolescents before entry into FC, whether detected before or during FC. Results also illustrate disparities in pre-entry MH care between racial/ethnic minority and White early adolescents, with minority youth less likely to be receiving services before entry.

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Behavioral and pharmacological interventions for the prevention and treatment of psychiatric disorders with children exposed to maltreatment

Cited by 10 publications

References 178 publications

Social Support and Mental Health among Obese and Non-obese

Social Support and Mental Health among Obese and Non-obese

The association between child maltreatment and mental disorders in the Australian Child Maltreatment Study

Prevalence of Mental Health Diagnoses Among Early Adolescents Before and During Foster Care

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