ArticleFrontiers in psychiatry2021
Ecological Momentary Mood, Resilience, and Mental Health Status as Predictors of Quality of Life Among Young Adults Under Stress: A Structural Equation Modeling Analysis.
Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 15 citations in OpenAlex.
- Factors associated with nurses' attitudes for providing oral care in geriatric care facilities: a cross-sectional study.BMC oral health · 2023Article
- Inhibitory control and mood in relation to psychological resilience: an ecological momentary assessment study.Scientific reports · 2023Article
- Gender Differences in Excessive Screen Time among Chinese High School Students in Henan Province.International journal of environmental research and public health · 2022Article
- Article
- Feasibility and preliminary effectiveness of mobile cognitive control training during basic combat training in the military.Military psychology : the official journal of the Division of Military Psychology, American Psychological Association · 2022Article
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9 authors at 2 institutions in 1 country.
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Abstract
Multiple internal factors, such as psychological resilience and mental health status, have been shown to contribute to overall quality of life (QoL). However, very few studies to date have examined how these factors contribute to QoL of youth and young adults in a stressful situation. Here, we studied the contribution of these factors, as well as of ecological momentary mood assessment, to QoL of young army recruits during their Basic Training Combat (BCT). To this end, we collected data from 156 male and female soldiers in a mixed-gender unit in the Israel Defense Forces (IDF). Using a mobile app installed on participants' phones, participants provided self-reports regarding their mental health status and psychological resilience at baseline, and QoL 2 weeks later. Momentary mood reporting was further collected during the 2-week interval period using a daily self-report mood scale (IMS-12). Structural equation modeling (SEM) was used to examine the interrelationships among the study variables based on a hypothesized model. We found that a model with all factors (gender, resilience, mental health status and momentary mood) provided a good fit for the data based on its fit indices [χ
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