Trial reportBMJ open2022
Preventing type 2 diabetes, overweight and obesity in the Norwegian primary healthcare: a longitudinal design with 60 months follow-up results and a cross-sectional design with comparison of dropouts versus completers.
Trial report in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01135901 (The VEND RISK-study. Preventing Diabetes Type 2 in Overweight Persons in the Værnes Region, Central-Norway.), which is not on this map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The VEND RISK-study. Preventing Diabetes Type 2 in Overweight Persons in the Værnes Region, Central-Norway.
Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- County Rurality and Incidence and Prevalence of Diagnosed Diabetes in the United States.Mayo Clinic proceedings · 2024Observational
- Participants stories about long-term achievement 60-months after attending a Healthy Life Centre programme (the VEND-RISK study) - a qualitative study.International journal of qualitative studies on health and well-being · 2023Article
- Sexual Dimorphism in the Association of Serum Retinol-Binding Protein-4 With Long-Term Dynamic Metabolic Profiles in Non-Diabetes.Frontiers in endocrinology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesStudies have demonstrated that it is possible to prevent type 2 diabetes for individuals at high risk, but long-term results in the primary healthcare are limited and high dropout rates have been reported.
designA longitudinal design was used to study changes in participants' diabetes risk and anthropometrics from baseline to 60 months follow-up. A cross-sectional design was applied to investigate differences between dropouts and completers of the 60 months follow-up.
settingHealthy Life Centres in the Norwegian primary healthcare.
participants189 individuals aged >18 years with a Finnish Diabetes Risk Score ≥12 and/or a body mass index (BMI) ≥25 kg/m
interventionsHealthy Life Centres arrange behavioural programmes including physical activity offers and dietary courses as part of the primary healthcare. This study offered individuals to attend Healthy Life Centre programmes and followed them for 60 months. PRIMARY OUTCOME: Assess changes in participants' diabetes risk, cardiovascular measures and anthropometrics from baseline to 60 months. SECONDARY OUTCOME: Investigate characteristics of dropouts compared with completers of 60 months follow-up.
resultsFor participants at 60 months follow-up, diabetes risk and anthropometrics decreased (p<0.001). Out of 65 participants classified as high risk for diabetes at baseline, 27 (42%) changed to being at moderate risk at 60 months follow-up. Remission of diabetes was seen for six of nine participants. Of 189 participants enrolled in the programme, 54 (31%) dropped out at any given point before 60 months follow-up. Dropouts were younger with higher, BMI, weight and waist circumference compared with the completers (p<0.001).
conclusionsHaving a long-term commitment for participants in primary healthcare interventions could be beneficial for the reduction of diabetes risk and improvement of anthropometrics as shown at the 60 months follow-up. TRIAL REGISTRATION NUMBER: NCT01135901.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.