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Record W2615065743

Multiple Types of Child Maltreatment and Adolescent Mental Health in Viet Nam/Maltraitance Infantile Multiple et Sante Mentale De L'adolescent Au Viet Nam/ Maltrato Multiple De Ninos Y Salud Mental del Adolescente En Viet Nam

2010· article· en· W2615065743 on OpenAlexaboutno aff
Huong Thanh Nguyen, Michael P. Dunne, Anh Vu Le

Bibliographic record

VenueBulletin of the World Health Organization · 2010
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthNeglectChild abusePsychologyPoison controlPsychiatrySocioeconomic statusSuicide preventionPhysical abuseDomestic violenceMedicineClinical psychologyPopulationEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

Introduction Research into the prevalence and consequences of child abuse and neglect has been changing in focus in recent years. In the past, most community-based and clinical studies assessed a single type or at most two types of maltreatment. However, it is now becoming clear that particular types of abuse seldom occur alone. A significant proportion of young people questioned in community-based surveys in Australia, Canada, Israel and the United States of America (USA), report having suffered multiple types of maltreatment (MTM) as children. (1-7) When adolescents and adults who have experienced MTM are compared with those who have suffered only a single type of maltreatment, MTM victims usually have substantially more mental health and behavioural problems. (8-11) The evidence supports an additive model of maltreatment effects. (2) A further significant development in research has been an exploration of the role of the individual, family and social contexts in which victimization occurs. (12) Social ecology models recognize that maltreatment is but one childhood experience among many that can affect mental health later in life. This approach is well illustrated by a recent national survey of children and adolescents in the USA. Turner et al. (11) considered a spectrum of cultural, socioeconomic and family influences on well-being, in addition to specific types of child maltreatment. Hierarchical regression analysis revealed that background factors contributed significantly to variance in mental health, independently of maltreatment, neglect and other forms of non-victimization trauma and adversity (such as exposure to serious physical illness, accidents or parental substance abuse). A compelling conclusion is that research into statistical linkages between child maltreatment and health may be confounded unless causal factors associated with both are included in multivariate models. (11,12) These approaches to child maltreatment research have rarely been applied in developing countries. One study in Turkey of 862 school students aged 14-17 years examined potential associations between four forms of abuse and neglect and suicide attempts and self-mutilation. (13) Logistic regression revealed a linear association between each form of maltreatment and both harmful behaviours, but that study did not adjust for social and family influences. In Thailand, a small survey of 202 young adult residents of Bangkok found an association between common mental disorders and background family conditions (low parental education, domestic violence) as well as childhood emotional and sexual abuse, with the latter two factors remaining significantly associated with mental disorders after adjustment for family characteristics. (14) To date, no descriptive or analytical research into child maltreatment in Viet Nam has been published in peer-reviewed journals. In Asia little research has been conducted on the relative health effects of social contexts and childhood adversity, broadly defined. Extrapolation of the insights gained in non-Asian countries is problematic because the prevalence of specific acts of violence, their perpetrators and the social settings in which abuse occurs vary among countries and cultures. (15-18) Indeed, considerable differences appear to exist between Asia and other regions in the frequency of child sexual abuse and intrafamilial or school-based physical abuse. (19-22) The factors that potentiate child abuse and place children at risk of poor mental health might not be generalizable across cultures. For example, some of the main risk factors for both child abuse and mental distress in children in economically developed nations, such as parental divorce, step-parenting, maternal alcohol and drug abuse and neighbourhood violence, (4,7) are comparatively rare in Asian countries. In addition, researchers in countries with multicultural populations, particularly in North America, often emphasize ethnic and cultural differences, (22,23) yet this source of variation may be less influential in comparatively monoracial societies, such as China, Japan and Viet Nam. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.183

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.270
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2010
Admission routes1
Has abstractyes

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