Childhood conditions and mental health among youth and young adults in Greenland: a latent class analysis

Poor mental health among youth in Greenland is a major challenge, childhood conditions are critical for mental health later in life. The study aimed to examine the clustering of childhood conditions by considering risk and protective factors for mental health among youth and young adults in Greenland and to explore the relationship between these clusters and mental health outcomes in youth. The study included 565 participants aged 15-34 living in Greenland. Seven indicators including childhood adversities (ACEs), childhood residence, language, and cultural indicators (protective factors) were used to define clusters via latent class analysis (LCA). The associations between clusters and mental health outcomes (satisfaction with life (Cantrill's ladder), self-esteem, self-efficacy, loneliness, psychological distress (General Health Questionnaire) and mental illness (Kessler 6)) were assessed by logistic regression. Four clusters were identified through LCA. While most participants reported positive childhoods, 40% (in two clusters) experienced ACEs. The two clusters differed as more participants in one cluster had experienced protective factors than the other. ACEs were associated with increased odds of negative aspects of mental health in youth. However, participants who faced high levels of adversity and few protective factors also had reduced odds of positive aspects of mental health in youth.

Authors

Institutions

Publication Details

Journal
International Journal of Circumpolar Health
Published
2024-09-16
DOI
https://doi.org/10.1080/22423982.2024.2400397
Citations
2
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
1.06
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Childhood conditions and mental health among youth and young adults in Greenland: a latent class analysis

Charlotte Brandstrup Ottendahl, Ivalu Katajavaara Seidler, Durita Lyngsø Svartá, Ingelise Olesen et al.
2 citations
International Journal of Circumpolar Health
Health disparities and outcomes
1.06
article

Childhood conditions and mental health among youth and young adults in Greenland: a latent class analysis

Charlotte Brandstrup Ottendahl, Ivalu Katajavaara Seidler, Durita Lyngsø Svartá, Ingelise Olesen, Christina Viskum Lytken Larsen, Peter Bjerregaard, Martine Stecher Nielsen
article en
2 citations

Abstract

Poor mental health among youth in Greenland is a major challenge, childhood conditions are critical for mental health later in life. The study aimed to examine the clustering of childhood conditions by considering risk and protective factors for mental health among youth and young adults in Greenland and to explore the relationship between these clusters and mental health outcomes in youth. The study included 565 participants aged 15-34 living in Greenland. Seven indicators including childhood adversities (ACEs), childhood residence, language, and cultural indicators (protective factors) were used to define clusters via latent class analysis (LCA). The associations between clusters and mental health outcomes (satisfaction with life (Cantrill's ladder), self-esteem, self-efficacy, loneliness, psychological distress (General Health Questionnaire) and mental illness (Kessler 6)) were assessed by logistic regression. Four clusters were identified through LCA. While most participants reported positive childhoods, 40% (in two clusters) experienced ACEs. The two clusters differed as more participants in one cluster had experienced protective factors than the other. ACEs were associated with increased odds of negative aspects of mental health in youth. However, participants who faced high levels of adversity and few protective factors also had reduced odds of positive aspects of mental health in youth.

International Journal of Circumpolar HealthVol. 83(1)
Ilisimatusarfik (GL), University of Southern Denmark (DK), Norwegian University of Science and Technology (NO)
No poverty
Openalex Percentile: Top 21%
Health disparities and outcomes
1.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.