Fysisk inaktivitet er en veldokumentert risikofaktor for en rekke kroniske sykdommer. Likevel er to av tre voksne og eldre i Norge fysisk inaktive. Fastleger og kommunal helsetjeneste skal fremme helse og forebygge sykdom blant risikogrupper og veilede om fysisk aktivitet for pasienter med behov for det. Om lag 60 % av norske kommuner har etablert frisklivssentraler som en del av helsetilbudet for å gi strukturert hjelp til fysisk aktivitet for risikogrupper. Denne kvalitative studien har undersøkt ti fastlegers erfaringer med frisklivssentral som tiltak for livsstilsendring. Analysen var inspirert av systematisk tekstkondensering. Funnene viser at flere informanter hadde positive erfaringer med henvisning til frisklivssentral. Disse informantene beskrev frisklivssentralen som et tilbud med god kompetanse og et supplement til veiledning de ikke hadde tid til. Andre informanter var skeptiske til tilbudet grunnet manglende dokumentert helseeffekt og at frisklivssentralen kun passet for mennesker som kunne trene på dagtid. Det var delte meninger om tilbudet passet best for umotiverte eller motiverte pasienter. Studien bidrar med ny kunnskap om fastlegers erfaringer med frisklivssentral. Funnene kan bidra til bevisstgjøring rundt egen praksis både hos leger og frisklivssentraler samt inspirere til utvikling av samarbeidet.

Objectives: This study aims to validate a submaximal treadmill walking test for estimation of maximal oxygen consumption (VO2max) in individuals at high risk of or with chronic health conditions.Method: Eighteen participants (age 62 ± 16 years; VO2max 31.2 ± 5.9 ml kg−1 min−1) at high risk of getting or with established chronic diseases performed two valid modified Balke treadmill walking protocols, one submaximal protocol, and one maximal protocol. Test duration, heart rate (HR), and rate of perceived exertion (RPE) were measured during both tests. VO2max was measured during the maximal test. VO2max was estimated from the submaximal test by multiple regression using time to RPE ≥ 17, gender, age, and body mass as independent variables. Model fit was reported as explained variance (R2) and standard error of the estimate (SEE).Results: The model fit for estimation of VO2max from time to RPE ≥ 17 at the submaximal test, body mass, age, and gender was R2 = 0.78 (SEE = 3.1 ml kg−1 min−1, p ≤ 0.001). Including heart rate measurement did not improve the model fit.Conclusions: The submaximal walking test is feasible and valid for assessing cardiorespiratory fitness in individuals with high risk of or chronic health conditions.

Objectives Individuals with low socioeconomic status and multimorbidity tend to have lower physical activity (PA) levels than the general population. Primary care is an important setting for reaching high-risk individuals to support behaviour change. This study aimed to investigate the impact of behaviour change interventions delivered by Norwegian Healthy Life Centres (HLCs) on participants’ PA levels, aerobic fitness and obesity, and furthermore to investigate possible predictors of change.Design An observational study with a pre–post design and a 3-month follow-up.Setting Thirty-two HLCs in Norway were included.Participants A total of 713 participants (72% of the participants included at baseline), 71% women, with a mean age of 51 (18–87 years) and body mass index (BMI) of 32 (SD 7) met to follow-up.Intervention Individual consultations and tailored individual and group-based exercise and courses organised by the HLCs and cooperating providers.Outcome measures The primary outcome was time spent in moderate to vigorous PA (MVPA, min/day) (ActiGraph GT3X+ accelerometer). The secondary outcomes were light PA (LPA, min/day), number of steps per day, time spent sedentary (SED, min/day), aerobic fitness (submaximal treadmill test, min), BMI (kg/m2) and waist circumference (WC, cm).Results There was no change in MVPA (B 1.4, 95% CI −0.4 to 3.1) after 3 months. The participants had improved LPA (4.0, 95% CI 0.5 to 7.5), increased number of steps (362, 95% CI 172 to 552), reduced SED (−5.6, 95% CI −9.8 to –1.3), improved fitness (0.8, 95% CI 0.6 to 1.0), reduced BMI (−0.2, 95% CI −0.1 to –0.3) and reduced WC (−1.7, 95% CI −2.0 to –1.3). Positive predictors of change were number of exercise sessions completed per week, duration of adherence to HLC offers and participation in exercise organised by HLC.Conclusion Participation in the HLC interventions had small positive impacts on participants’ PA levels, aerobic fitness and obesity. Further research to develop effective behaviour change programmes targeting individuals with complex health challenges is needed.Trial registration number NCT03026296.

Aims: This ongoing study is investigating the implementation and long-term impact of Healthy Life Centres (HLCs), a primary-care service intervention for behaviour change in Norway. The primary aim is to study changes in objectively measured physical activity (PA) levels following a HLC intervention in the short (three months) and long term (15 months). Furthermore, the study is evaluating determinants concerning implementation and adaption of the HLC intervention that influence reach and impact on participants outcomes. Methods: This prospective observational study includes 32 HLCs from four different geographical regions in Norway. Subjects aged ⩾18 years were invited to participate. The study has a pre–post design with a 15-month follow-up. The HLC intervention is a three-month individualised program, containing personal consultations and group-based behaviour-specific courses on PA, diet and smoking cessation. Data collection consists of registration of objectively measured PA level, physical examinations, interviews and questionnaires. In addition, HLC organisation, offers, professions and resources are being examined. The Reach, Efficacy/Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) framework is being applied to study the external validation of the HLC intervention. The study enrolled 1020 participants who gave their written informed consent. Post-tests and follow-up data collection is still ongoing and will continue until August 2019. Conclusions: By exploring the HLC intervention in a real-world setting and addressing the elements of RE-AIM, this study will contribute to an improved understanding and development of effective primary-care behaviour interventions such as the HLC model. The strengths of the study are the large sample size and the many HLCs and regions included.

Objectives Health-related quality of life (HRQoL) is an important outcome for health interventions, such as physical activity (PA) promotion among high-risk populations. The aim of this study was to investigate levels of PA and HRQoL, and associations between PA and HRQoL, in participants attending a behavior change service within primary care in Norway. Methods Adult participants (≥ 18 years) from 32 Healthy Life Centers (HLCs) in four regions of Norway, who provided valid data on HRQoL (SF-36) and PA (ActiGraph accelerometer) were included (N = 835). HRQoL scores were compared to normative data by independent sample t-tests. Associations between eight dimensions of HRQoL and time spent sedentary (SED), in light PA (LPA) or in moderate to vigorous PA (MVPA) were determined using general linear models adjusted for relevant confounders. Results Nineteen percent of the participants (mean age 50; body mass index 32) met PA recommendations of > 150 min MVPA per week. SF-36 scores were 10 to 28 points lower than the norm (all p < 0.001). Positive associations were found between MVPA and the SF-36 dimensions physical functioning, role physical, general health and vitality, (all p < 0.045). LPA was positively associated with physical functioning, role physical, general health, vitality and role emotional (all p < 0.046). Time spent SED was negatively associated with physical functioning, general health, vitality, social functioning and mental health (all p < 0.030). Conclusions Individuals attending a Norwegian behavior change service within primary care had low PA level and low HRQoL compared to the general population. Our study suggest there is a positive dose-response relationship between PA and HRQoL, and a negative relationship between SED and HRQoL. Furthermore, that specific PA intensities and SED are related to different dimensions of HRQoL.