Parental wellbeing, parenting, and child mental health in families with young children in Arghakhanchi, Nepal
Bibliographic record
Abstract
BACKGROUND: Children's social-emotional development and mental well-being are critical to adult mental health. However, little is known about the mechanisms or factors that contribute to poor child mental health in low- and middle-income countries. Given the lack of child mental health research to guide interventions or social-emotional learning programs and policy planning, the present study aimed to address these knowledge gaps by examining the psychopathology mechanism involved in the development of childhood mental health problems. METHODS: This cross-sectional study recruited parents (N = 393) whose children attended preschool to primary classes in the Arghakhanchi district of Nepal. Data were gathered through parent interviews. Structural Equation Modeling was used to examine the pathways of the mediational mechanism that examined the influence of parental well-being on parenting and children's mental health outcomes. RESULTS: Approximately 22% of the parents were at risk for moderate to severe mental health problems (anxiety: 24%, depression:19%). Parental mental health problems were higher in families who reported food insecurity, among female parents, less educated parents, and those who perceived themselves on a lower social ladder. Parental mental health, social support, and perceived class were associated with parent-child conflict. Greater parent-child conflict was associated with decreased social competence and increased anger, anxiety, and depression in children. CONCLUSION: The results partially support the mediational model that Nepali parents' well-being (especially in mental health symptoms, social support, and perception of family's social class domains) is associated with less optimal parenting and, in turn, greater child mental health problems and lower social competence. This study provides new evidence of cross-cultural consistency in child psychopathology and guides the development of evidence-based programs to prevent and promote mental health among Nepali children and families.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".