SwePub
Tyck till om SwePub Sök här!
Sök i SwePub databas

  Extended search

Träfflista för sökning "WFRF:(Hagströmer Maria) ;lar1:(ki);pers:(Larsson Kristina)"

Search: WFRF:(Hagströmer Maria) > Karolinska Institutet > Larsson Kristina

  • Result 1-3 of 3
Sort/group result
   
EnumerationReferenceCoverFind
1.
  • Larsson, Kristina, et al. (author)
  • Health care professionals' experiences of supporting persons with metabolic risk factors to increase their physical activity level : a qualitative study in primary care
  • 2023
  • In: Scandinavian Journal of Primary Health Care. - : Taylor & Francis Group. - 0281-3432 .- 1502-7724. ; 41:2, s. 116-131
  • Journal article (peer-reviewed)abstract
    • Objective: To be regularly physically active is of major importance for the health of people with metabolic risk factors. Many of these persons are insufficiently active and in need of support. This study aimed to explore barriers and facilitators perceived by health care professionals' within Swedish primary care in their work to support persons with metabolic risk factors to increase their physical activity.Design: A qualitative design with focus group discussions was used. The data were analysed using qualitative content analysis with a manifest, inductive approach.Setting: Primary health care in five Swedish healthcare regions.Subjects: Nine physiotherapists, ten physicians and five nurses participated in six digital focus group discussions including two to six participants.Results: Barriers and facilitators to supporting persons with metabolic risk factors to increase their physical activity were found within four generic categories, where the barriers and facilitators related to each generic category: 'Patient readiness for change', 'Supporting the process of change', 'The professional role', and 'The organisation of primary care'.Conclusion: The findings suggests that barriers and facilitators for supporting patients with metabolic risk factors can be found at several levels within primary care, from individual patient and the health care professionals to the organisational level. In the primary care setting, this should be highlighted when implementing support to increase physical activity in people with metabolic risk factors.KEY POINTSHealth care professionals within primary care are in a position to support people with metabolic risk factors to increase their physical activity.Barriers and facilitators to support the patients should be addressed at several levels within primary care.The study highlights factors on multiple levels such as professional responsibility, organisational prioritisation and resources, and the challenge to motivate behaviour change.
  •  
2.
  • Rossen, Jenny, et al. (author)
  • Effects of a three-armed randomised controlled trial using self-monitoring of daily steps with and without counselling in prediabetes and type 2 diabetes-the Sophia Step Study
  • 2021
  • In: International Journal of Behavioral Nutrition and Physical Activity. - : BioMed Central. - 1479-5868. ; 18:1
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: This aimed to evaluate the effects of self-monitoring of daily steps with or without counselling support on HbA1c, other cardiometabolic risk factors and objectively measured physical activity (PA) during a 2-year intervention in a population with prediabetes or type 2 diabetes.METHODS: The Sophia Step Study was a three-armed parallel randomised controlled trial. Participants with prediabetes or type 2 diabetes were recruited in a primary care setting. Allocation (1:1:1) was made to a multi-component intervention (self-monitoring of steps with counselling support), a single-component intervention (self-monitoring of steps without counselling support) or standard care. Data were collected for primary outcome HbA1c at baseline and month 6, 12, 18 and 24. Physical activity was assessed as an intermediate outcome by accelerometer (ActiGraph GT1M) for 1 week at baseline and the 6-, 12-, 18- and 24-month follow-up visits. The intervention effects were evaluated by a robust linear mixed model.RESULTS: and HbA1c was 50 (11) mmol/mol, 21% had prediabetes and 40% were female. The dropout rate was 11% at 24 months. Effect size (CI) for the primary outcome (HbA1c) ranged from -1.3 (-4.8 to 2.2) to 1.1 (-2.4 to 4.6) mmol/mol for the multi-component vs control group and from 0.3 (-3.3 to 3.9) to 3.1 (-0.5 to 6.7) mmol/mol for the single-component vs control group. Effect size (CI) for moderate-to-vigorous physical activity ranged from 8.0 (0.4 to 15.7) to 11.1 (3.3 to 19.0) min/day for the multi-component vs control group and from 7.6 (-0.4 to 15.6) to 9.4 (1.4 to 17.4) min/day for the single-component group vs control group.CONCLUSION: This 2-year intervention, including self-monitoring of steps with or without counselling, prevented a decrease in PA but did not provide evidence for improved metabolic control and cardiometabolic risk factors in a population with prediabetes or type 2 diabetes.TRIAL REGISTRATION: ClinicalTrials.gov, NCT02374788 . Registered 2 March 2015-Retrospectively registered.
  •  
3.
  • Rossen, Jenny, et al. (author)
  • Physical activity patterns among individuals with prediabetes or type 2 diabetes across two years : A longitudinal latent class analysis
  • 2022
  • In: International Journal of Environmental Research and Public Health. - : MDPI AG. - 1661-7827 .- 1660-4601. ; 19:6
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: This study aimed to identify distinct profiles of physical activity (PA) patterns among individuals with prediabetes or type 2 diabetes participating in a two-year PA trial and to investigate predictors of the profiles.METHODS: Data (n = 168, collected 2013-2020) from the cohort of a randomized trial aimed at increasing PA in individuals with prediabetes and type 2 diabetes were used. PA and sedentary behaviours were assessed by waist-worn ActiGraph GT1M accelerometers at baseline and at 6, 12, 18 and 24 months. Fifteen PA and sedentary variables were entered into a latent class mixed model for multivariate longitudinal outcomes. Multinominal regression analysis modelled profile membership based on baseline activity level, age, gender, BMI, disease status and group randomisation.RESULTS: Two profiles of PA patterns were identified: "Increased activity" (n = 37, 22%) included participants increasing time in PA and decreasing sedentary time. "No change in activity" (n = 131, 78%) included participants with no or minor changes. "Increased activity" were younger (p = 0.003) and more active at baseline (p = 0.011), compared to "No change in activity". No other predictor was associated with profile membership.CONCLUSIONS: A majority of participants maintained PA and sedentary patterns over two years despite being part of a PA intervention. Individuals improving PA patterns were younger and more active at baseline.
  •  
Skapa referenser, mejla, bekava och länka
  • Result 1-3 of 3

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view