scholarly journals Health-related quality of life and intensity-specific physical activity in high-risk adults attending a behavior change service within primary care

PLoS ONE ◽  
2019 ◽  
Vol 14 (12) ◽  
pp. e0226613 ◽  
Author(s):  
Ellen Eimhjellen Blom ◽  
Eivind Aadland ◽  
Guri Kaurstad Skrove ◽  
Ane Kristiansen Solbraa ◽  
Line Merethe Oldervoll
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Primary Care ◽  
High Risk ◽  
Behavior Change ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

scholarly journals Health behavior and health-related quality of life in patients with a high risk of cardiovascular disease

2018 ◽  
Vol 57 (1) ◽  
Author(s):  
Davorina Petek ◽  
Marija Petek-Ster ◽  
Ksenija Tusek-Bunc
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Cardiovascular Disease ◽  
High Risk ◽  
Healthy Lifestyle ◽  
Patient Questionnaire ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

AbstractBackgroundHealth-related quality of life (HRQoL) is measuring a patient’s experience of his health status and represents an outcome of medical interventions. Existing data proves that a healthy lifestyle is positively associated with HRQoL in all age groups. Patients with a high risk for cardiovascular disease typically led an unhealthy lifestyle combined with risk diseases. We aimed to analyse these characteristics and their reflection in HRQoL.MethodsA cross-sectional study in 36 family practices, stratified by location and size. Each practice invited 30 high-risk patients from the register. Data were obtained from medical records and patient questionnaire. The EQ-5D questionnaire and the VAS scale were used for measuring the patient’s HRQoL as an independent variable.Results871 patients (80.6% response rate) were included in the analysis. 60.0% had 3-4 uncontrolled risk factors for CVD. The average VAS scale was 63.2 (SD 19.4). The correlation of EQ-5D was found in the number of visits in the practice (r=-0.31, p<0.001), the socioeconomic status (r=-0.25, p=0.001), age (r=-0.27, p=0.001) and healthy diet (r=0.20, p=0.006). In a multivariate model, only physical activity among lifestyle characteristics was an independent predictor of HRQoL (p=0.001, t=3.3), along with the frequency of visits (p<0.001, t=-5.3) and age (p=0.025, t=-2.2).ConclusionThis study has been performed on a specific group of patients, not being “really sick”, but having less optimal lifestyle in many cases. Encouragement to improve or keep healthy lifestyle, especially physical activity, is important, not only to lower the risk for CVD, but also to improve HRQoL.

scholarly journals Health-related quality of life and physical activity in persons at high risk for type 2 diabetes

2009 ◽  
Vol 31 (10) ◽  
pp. 799-805 ◽  
Author(s):  
Arja Häkkinen ◽  
Anna Kukka ◽  
Tanja Onatsu ◽  
Salme Järvenpää ◽  
Ari Heinonen ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Type 2 Diabetes ◽  
High Risk ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

scholarly journals Health-related quality of life and physical activity level after a behavior change program at Norwegian healthy life centers: a 15-month follow-up

2020 ◽  
Vol 29 (11) ◽  
pp. 3031-3041 ◽  
Author(s):  
Ellen Eimhjellen Blom ◽  
Eivind Aadland ◽  
Guri Kaurstad Skrove ◽  
Ane Kristiansen Solbraa ◽  
Line Merethe Oldervoll
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Behavior Change ◽  
Health Related Quality ◽  
Healthy Life ◽  
Behavior Change Intervention ◽  
Related Quality ◽  
Health Related

Abstract Purpose The long-term impact of primary care behavior change programs on health-related quality of life (HRQoL) and physical activity (PA) level is unknown. The aim of this study was to investigate changes in HRQoL and PA among participants after a 3-month behavior change intervention at Norwegian healthy life center (HLCs) and at a 15-month follow-up. Furthermore, we aimed to study associations between changes in PA and HRQoL. Methods We followed 524 adult participants (18–83 years), recruited from 32 HLCs in August 2016–January 2018, who provided data on HRQoL (SF-36) and PA (ActiGraph accelerometers) 12 months after a 3-month behavior change intervention. Changes in HRQoL and PA between baseline, 3-month and 15-month follow-ups, and associations between changes in PA and HRQoL were analyzed by linear mixed models. Results All HRQoL dimensions improved from baseline to 3-month follow-up, and the improvements maintained at 15-month follow-up (mean 3.1–13.1 points, p < 0.001). PA increased from baseline to 3 months (mean 418 steps/day, p < 0.001), but declined from 3 to 15 months (mean − 371 steps/day, p < 0.001). We observed positive associations between changes in PA and HRQoL (0.84–3.23 points per 1000 steps/day, p < 0.023). Conclusions Twelve months after completing a 3-month HLC intervention we found improved HRQoL, but not PA level. Still, there were positive associations between PA and HRQoL over this period, indicating that participants increasing their PA were more likely to improve their HRQoL.

scholarly journals Health behavior and health-related quality of life in patients with a high risk of cardiovascular disease

2018 ◽  
Vol 57 (1) ◽  
pp. 39-46
Author(s):  
Davorina Petek ◽  
Marija Petek-Ster ◽  
Ksenija Tusek-Bunc
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Cardiovascular Disease ◽  
High Risk ◽  
Healthy Lifestyle ◽  
Patient Questionnaire ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

Abstract Background Health-related quality of life (HRQoL) is measuring a patient’s experience of his health status and represents an outcome of medical interventions. Existing data proves that a healthy lifestyle is positively associated with HRQoL in all age groups. Patients with a high risk for cardiovascular disease typically led an unhealthy lifestyle combined with risk diseases. We aimed to analyse these characteristics and their reflection in HRQoL. Methods A cross-sectional study in 36 family practices, stratified by location and size. Each practice invited 30 high-risk patients from the register. Data were obtained from medical records and patient questionnaire. The EQ-5D questionnaire and the VAS scale were used for measuring the patient’s HRQoL as an independent variable. Results 871 patients (80.6% response rate) were included in the analysis. 60.0% had 3-4 uncontrolled risk factors for CVD. The average VAS scale was 63.2 (SD 19.4). The correlation of EQ-5D was found in the number of visits in the practice (r=-0.31, p<0.001), the socioeconomic status (r=-0.25, p=0.001), age (r=-0.27, p=0.001) and healthy diet (r=0.20, p=0.006). In a multivariate model, only physical activity among lifestyle characteristics was an independent predictor of HRQoL (p=0.001, t=3.3), along with the frequency of visits (p<0.001, t=-5.3) and age (p=0.025, t=-2.2). Conclusion This study has been performed on a specific group of patients, not being “really sick”, but having less optimal lifestyle in many cases. Encouragement to improve or keep healthy lifestyle, especially physical activity, is important, not only to lower the risk for CVD, but also to improve HRQoL.

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