The purpose of this study was to explore and identify factors that influence motivation for and barriers to adopting and maintaining lifestyle changes in patients with type 2 diabetes, following participation in an intensive multiple-lifestyle intervention. Participants were recruited from the U-TURN trial, a one-year, intensive lifestyle intervention for type 2 diabetes patients. This study was conducted over time; informants were interviewed twice after the trial ended with a six-month interval between interviews. The qualitative data from these individual interviews were analysed using systematic text condensation with an inductive approach. Five themes emerged: Social support and relatedness, Achievement of results, Support from healthcare professionals, Identification with and acceptance of the new lifestyle and Coping with ongoing challenges. These are all important for maintaining lifestyle changes and diabetes self-management. Changing one’s lifestyle can be a constant, difficult struggle. For sustainable progress after an intensive intervention, the changes must be adopted and endorsed by patients and co-opted into their social setting. Belonging to an exercise group, confidence in managing the lifestyle adjustments and handling of challenges through continual support and professional diabetes treatment are crucial in maintaining and adhering to the new lifestyle.

The purpose of this study was to examine the changes in physical activity (PA), physical fitness and psychosocial well-being in early adolescents following implementation of a school-based health promotion program in secondary schools. Methods: Six municipalities in Telemark County, Norway, were recruited into intervention (6 schools) or control groups (9 schools). A total of 644 pupils participated in the study (response rate: 79%). The schools in the intervention group implemented the Active and Healthy Kids program, where the PA component consisted of (1) 120 min/week of physically active learning (PAL) and (2) 25 min/week of physical active breaks. Furthermore, both the intervention and control schools carried out 135 min/week of physical education. The primary outcome was PA. Secondary outcomes were sedentary time, physical fitness, subjective vitality and health-related quality of life (HRQoL) in five domains: physical health, psychological well-being, parent, peers and school. Results: There was a group x time effect on school-based PA (p < 0.05), but not total PA, as well as on physical fitness (p < 0.05) and vitality (p < 0.01). In girls, there also was a group x time effect on three out of the five domains on HRQoL (p < 0.05). Conclusions: A multi-component, school-based health-promotion program with emphasis on the use of PAL led to positive changes in school-based PA levels. Furthermore, positive changes were seen in physical fitness, vitality and HRQoL among early adolescents in a county with a poor public health profile. This might have implications for the development and promotion in schools of general health and well-being throughout adolescence.

To examine whether lifestyle-related factors and resilience predict health-related quality of life (HRQoL) in a sample of early adolescents. Methods: A total of 611 eighth grade pupils (response rate: 79%) participated in this crosssectional study. The variables measured were physical activity (accelerometer), cardiorespiratory fitness (Andersen test) and a questionnaire assessing dietary habits, sleep disturbance, resilience (Resilience Scale for Adolescents) and HRQoL (KIDSCREEN-27). Results: A total of 36% of the sample met the official recommendations of 60 minutes of daily physical activity. Univariate analysis identified physical activity, dietary habits, sleep disturbances, body mass index (BMI), cardiorespiratory fitness and resilience, but not sedentary time, as predictors of HRQoL. Multivariate regression analysis identified resilience as a positive predictor (b 0.18 to 0.27) of all HRQoL domains and sleep disturbance as a negative predictor (b À0.65 to À0.24) of four HRQoL domains. BMI (b ¼ À0.27) and cardiorespiratory fitness (b ¼ 0.021) were predictors of the HRQoL domain physical well-being. Adherence to dietary recommendations was both a positive and a negative predictor of HRQoL (b À0.45 to 0.59). Conclusion: Resilience and sleep disturbances were the main predictors of HRQoL.

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