Parental Injury and Psychological Health of Children

Rivara, Frederick P.; McCarty, Carolyn A.; Shandro, Jamie; Wang, Jin; Zatzick, Douglas

doi:10.1542/peds.2013-3273

Cited by 11 publications

(13 citation statements)

References 37 publications

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“…For approximately 40% of articles, it was then necessary to contact corresponding authors to request relevant missing information. Subsequent to this, four of the eligible articles were ultimately not included as the authors were unable to provide essential data (Rivara, McCarty, Shandro, Wang, & Zatzick, ; Wang, Elhai, Dai, & Yao, ; Zonfrillo et al., ) or could not be contacted (Holbrook et al., ). Finally, co‐author (RMS) supplied an unpublished dataset from a recently completed large‐scale study (Meiser‐Stedman et al., unpublished).…”

Section: Methodsmentioning

confidence: 99%

Research Review: Changes in the prevalence and symptom severity of child post‐traumatic stress disorder in the year following trauma – a meta‐analytic study

Hiller

Meiser‐Stedman

Fearon

et al. 2016

Child Psychology Psychiatry

143

108

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BackgroundUnderstanding the natural course of child and adolescent posttraumatic stress disorder (PTSD) has significant implications for the identification of, and intervention for, at‐risk youth. We used a meta‐analytic approach to examine longitudinal changes in youth PTSD prevalence and symptoms over the first 12 months posttrauma.MethodsWe conducted a systematic review to identify longitudinal studies of PTSD in young people (5–18 years old), excluding treatment trials. The search yielded 27 peer‐reviewed studies and one unpublished dataset for analysis of pooled prevalence estimates, relative prevalence reduction and standardised mean symptom change. Key moderators were also explored, including age, proportion of boys in the sample, initial prevalence of PTSD and PTSD measurement type.ResultsAnalyses demonstrated moderate declines in PTSD prevalence and symptom severity over the first 3–6 months posttrauma. From 1 to 6 months posttrauma, the prevalence of PTSD reduced by approximately 50%. Symptoms also showed moderate decline, particularly across the first 3 months posttrauma. There was little evidence of further change in prevalence or symptom severity after 6 months, suggesting that it is unlikely a child would lose a PTSD diagnosis without intervention beyond this point. ConclusionsThe current findings provide key information about the likelihood of posttrauma recovery in the absence of intervention and have important implications for our understanding of child and adolescent PTSD. Results are discussed with reference to the timing of PTSD screening and the potential role of early interventions. Findings particularly highlight the importance of future research to develop our understanding of what factors prevent the action of normal recovery from the ‘acute’ posttrauma period.

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Section: Methodsmentioning

confidence: 99%

Research Review: Changes in the prevalence and symptom severity of child post‐traumatic stress disorder in the year following trauma – a meta‐analytic study

Hiller

Meiser‐Stedman

Fearon

et al. 2016

Child Psychology Psychiatry

143

108

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“…Seven articles were published using data from Australia [24][25][26][39][40][41][42], with two articles related to the same study cohort from Victoria [41,42] and two articles related to the same cohort from South-East Queensland [25,26]. Five articles reported on five unique studies conducted in the United States [38,53,57,64,65]. Three articles resulted from two studies in Switzerland [43][44][45] and three articles resulted from two [59,60,62], respectively.…”

Section: Study Characteristicsmentioning

confidence: 99%

A systematic review of studies measuring health-related quality of life of general injury populations: update 2010–2018

Geraerds

Richardson

Haagsma

et al. 2020

Health Qual Life Outcomes

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Background: Studies examining the impact of injury on health-related quality of life (HRQL) over time are necessary to understand the short-and long-term consequences of injury for population health. The aim of this systematic review was to provide an evidence update on studies that have measured HRQL over time in general injury populations using a generic (general) health state measure. Methods: Studies conducted between 2010 and 2018 that assessed HRQL at more than one time point among general injury populations were eligible for inclusion. Two reviewers independently extracted information from each study on design, HRQL measure used, method of HRQL measure administration, timing of assessment(s), predictive variables, ability to detect change, and findings. Quality appraisals of each study were also completed by two reviewers using items from the RTI Item Bank on Risk of Bias and Precision of Observational Studies and the Guidelines for the Conduction of Follow-up Studies Measuring Injury-Related Disability. Results: Twenty-nine studies (44 articles) that met the inclusion criteria were identified. HRQL was measured using 14 different generic measures; the SF-36, SF-12, and EQ-5D were used most frequently. A varying number of follow-up assessments were undertaken, ranging from one to five. Follow-up often occurred 12 months post-injury. Fewer studies (n = 11) examined outcomes two or more years post-injury, and only one to 10 years post-injury. While most studies documented improvements in HRQL over time since the injury event, study populations had not returned to pre-injury status or reached general population norm HRQL values at post-injury follow-ups. Conclusions: Since 2010 there has been a substantial increase in the number of studies evaluating the HRQL of general injury populations. However, significant variability in study design continues to impede quantification of the impact of injury on population health over time. Variation between studies is particularly evident with respect to timing and number of follow-up assessments, and selection of instruments to evaluate HRQL.

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“…Compared to the general population, certain occupational groups exhibit greater incidences of poor mental health [ 29 ]. While several studies, both domestic and foreign, have examined mental health problems among different occupational groups, most have focused on ethnic majorities [ 30 , 31 , 32 ] or a limited number of occupational types, such as healthcare workers, teachers, soldiers, students, pilots, and athletes [ 33 , 34 , 35 , 36 , 37 , 38 , 39 ]. Moreover, there is an increasing awareness of mental health problems, such as depression and anxiety, among certain occupational groups in China [ 40 ], but there has been no comprehensive study of poor mental health prevalence across occupational categories and ethnicity, even though ethnic groups may be a critical determinant of social and occupational status.…”

Section: Introductionmentioning

confidence: 99%

A Mental Health Survey of Different Ethnic and Occupational Groups in Xinjiang, China

Liu

Jiang

et al. 2017

IJERPH

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Poor mental health has become a serious social and public health-care burden. This cross-sectional study used multistage stratified cluster random sampling to gather mental health information from 11,891 adults (18–60 years) employed in various occupations categorized according to the Chinese Standard Occupational Classification. Mental health was measured by the General Health Questionnaire, and participants exceeding the cut-off score were defined as having poor mental health. The overall prevalence of poor mental health was 23.8%. The prevalence of poor mental health was significantly higher in the Han ethnic group than Kazak ethnic group and in health-care workers, teachers, and civil servants compared to manual workers. Females (odds ratios (OR) = 1.139, 95% confidence intervals (CI): 1.012–3.198) and knowledge workers (1.697, 1.097–2.962) were risk factors for poor mental health, while Kazak ethnicity (0.465, 0.466–0.937), other minority status (non-Han) (0.806, 0.205–0.987), and working ≥15 years in the same occupation (0.832, 0.532–0.932) were protective (p < 0.05). We concluded that the general level of mental health in Xinjiang, China, is higher in the Kazak ethnic group than the Han ethnic group. The prevalence of poor mental health is higher among knowledge workers than in manual workers due to high incidences of poor mental health in civil servants, health-care workers, and teachers.

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Parental Injury and Psychological Health of Children

Cited by 11 publications

References 37 publications

Research Review: Changes in the prevalence and symptom severity of child post‐traumatic stress disorder in the year following trauma – a meta‐analytic study

Research Review: Changes in the prevalence and symptom severity of child post‐traumatic stress disorder in the year following trauma – a meta‐analytic study

A systematic review of studies measuring health-related quality of life of general injury populations: update 2010–2018

A Mental Health Survey of Different Ethnic and Occupational Groups in Xinjiang, China

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