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Mental and physical health effects of meaningful work and rewarding family responsibilities.

ABSTRACT: Positive feelings about work and family responsibilities benefit psychological well-being, but their physical health effects remain unexplored. The study assessed whether meaningful work and reward from taking care of family benefitted physical health to the same degree as mental health. Participants were 181 Danes aged 49-51. Participants reported on working conditions, providing care to family, depressive symptoms, and perceived stress. Physical health was operationalized as a physiological dysregulation (e.g., hypertension, high levels of blood sugar and cholesterol, high body mass index). A multidimensional index of physiological dysregulation was created using parameters of cardiovascular, metabolic, and immune function. As expected, meaningful work and sense of reward from taking care of family members were associated with better mental health. However, in women, the very same factors were positively associated with higher physiological dysregulation. We conclude that work and family factors promoting psychological well-being may have physical health trade-offs, particularly in women.

SUBMITTER: Dich N

PROVIDER: S-EPMC6481914 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundUser engagement is key to the effectiveness of digital mental health interventions. Considerable research has examined the clinical outcomes of overall engagement with mental health apps (eg, frequency and duration of app use). However, few studies have examined how specific app use behaviors can drive change in outcomes. Understanding the clinical outcomes of more nuanced app use could inform the design of mental health apps that are more clinically effective to users.ObjectiveThis study aimed to classify user behaviors in a suite of mental health apps and examine how different types of app use are related to depression and anxiety outcomes. We also compare the clinical outcomes of specific types of app use with those of generic app use (ie, intensity and duration of app use) to understand what aspects of app use may drive symptom improvement.MethodsWe conducted a secondary analysis of system use data from an 8-week randomized trial of a suite of 13 mental health apps. We categorized app use behaviors through a mixed methods analysis combining qualitative content analysis and principal component analysis. Regression analyses were used to assess the association between app use and levels of depression and anxiety at the end of treatment.ResultsA total of 3 distinct clusters of app use behaviors were identified: learning, goal setting, and self-tracking. Each specific behavior had varied effects on outcomes. Participants who engaged in self-tracking experienced reduced depression symptoms, and those who engaged with learning and goal setting at a moderate level (ie, not too much or not too little) also had an improvement in depression. Notably, the combination of these 3 types of behaviors, what we termed "clinically meaningful use," accounted for roughly the same amount of variance as explained by the overall intensity of app use (ie, total number of app use sessions). This suggests that our categorization of app use behaviors succeeded in capturing app use associated with better outcomes. However, anxiety outcomes were neither associated with specific behaviors nor generic app use.ConclusionsThis study presents the first granular examination of user interactions with mental health apps and their effects on mental health outcomes. It has important implications for the design of mobile health interventions that aim to achieve greater user engagement and improved clinical efficacy.

Project description:Family Group conferences (FGC) provide a system by which a client and their family reach jointly key intervention decisions, from a number of options proposed by professionals. The system originated in child protection social work. Conceptually FGC is based on the assumption that the family is potentially a supportive social system for an individual with a variety of difficulties, including mental ill health. Reaching a family network agreement can lead to long term positive outcomes in self-confidence and social relationships. This strategy of shared decision making (SDM) can re-unite the family around the client's needs and wishes. It fits well the strengths based and the recovery-oriented approaches to mental ill health. Methodologically, this article provides a narrative review of existing empirical research about FGC in the context of adult mental health. In addition, two community case studies consisting of videos of a mother experiencing mental ill health and a daughter are analysed in terms of their subjective experience of the FGCs they were involved in, and looks at both the process and the outcomes of FGCs. The key findings demonstrate a high level of satisfaction from participating in the FGC meeting, while the evidence pertaining to the outcomes is inconclusive. Only very few systematic review studies, or comparative studies of different approaches to family decision making, exist, and there are no studies which offer cost effectiveness analysis. Discussion: The observed gap between the satisfaction from the process of FGC by the participants vs. the inconclusive outcomes relates to the implementation phase, in which the decisions made by the family are tested. Evaluating FGC processes and outcomes is complex. A systematic and comprehensive research of the implementation process is missing at this stage. In conclusion, FGC is a promising strategy of SDM in adult mental health. The research evidence indicates the need for further exploration of its implementation process, evaluative methodology and methods.

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Mental and physical health effects of meaningful work and rewarding family responsibilities.

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