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Predictors associated with an increase in daily steps among people with prediabetes or type 2 diabetes participating in a two-year pedometer intervention
Sophiahemmet University.ORCID iD: 0000-0003-4361-6502
Sophiahemmet University.ORCID iD: 0000-0003-4920-252x
Sophiahemmet University.ORCID iD: 0000-0003-3309-136x
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2024 (English)In: BMC Public Health, E-ISSN 1471-2458, Vol. 24, article id 1290Article in journal (Refereed) Published
Abstract [en]

Background: This study aimed to explore predictors associated with intermediate (six months) and post-intervention (24 months) increases in daily steps among people with prediabetes or type 2 diabetes participating in a two-year pedometer intervention.

Methods: A secondary analysis was conducted based on data from people with prediabetes or type 2 diabetes from two intervention arms of the randomised controlled trial Sophia Step Study. Daily steps were measured with an ActiGraph GT1M accelerometer. Participants were divided into two groups based on their response to the intervention: Group 1) ≥ 500 increase in daily steps or Group 2) a decrease or < 500 increase in daily steps. Data from baseline and from six- and 24-month follow-ups were used for analysis. The response groups were used as outcomes in a multiple logistic regression together with baseline predictors including self-efficacy, social support, health-related variables, intervention group, demographics and steps at baseline. Predictors were included in the regression if they had a p-value < 0.2 from bivariate analyses.

Results: In total, 83 participants were included. The mean ± SD age was 65.2 ± 6.8 years and 33% were female. At six months, a lower number of steps at baseline was a significant predictor for increasing ≥ 500 steps per day (OR = 0.82, 95% CI 0.69-0.98). At 24 months, women had 79% lower odds of increasing ≥ 500 steps per day (OR = 0.21, 95% CI 0.05-0.88), compared to men. For every year of increase in age, the odds of increasing ≥ 500 steps per day decreased by 13% (OR = 0.87, 95% CI 0.78-0.97). Also, for every step increase in baseline self-efficacy, measured with the Self-Efficacy for Exercise Scale, the odds of increasing ≥ 500 steps per day increased by 14% (OR = 1.14, 95% CI 1.02-1.27).

Conclusions: In the Sophia Step Study pedometer intervention, participants with a lower number of steps at baseline, male gender, lower age or higher baseline self-efficacy were more likely to respond to the intervention with a step increase above 500 steps per day. More knowledge is needed about factors that influence response to pedometer interventions.

Place, publisher, year, edition, pages
2024. Vol. 24, article id 1290
Keywords [en]
Intervention, Prediabetes, Response, Steps, Type 2 diabetes
National Category
Nursing
Identifiers
URN: urn:nbn:se:shh:diva-4994DOI: 10.1186/s12889-024-18766-6PubMedID: 38734659OAI: oai:DiVA.org:shh-4994DiVA, id: diva2:1793956
Note

As manuscript in dissertation.

Available from: 2023-09-04 Created: 2023-09-04 Last updated: 2025-09-15Bibliographically approved
In thesis
1. Supporting healthy movement behaviours in people with metabolic risk, prediabetes, or type 2 diabetes in primary health care
Open this publication in new window or tab >>Supporting healthy movement behaviours in people with metabolic risk, prediabetes, or type 2 diabetes in primary health care
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The overall aim of this thesis was to investigate if a pedometer-based intervention inthe primary health care setting can support people with prediabetes or type 2 diabetestowards healthier movement behaviours. Moreover, health care professionals’experiences of supporting people with metabolic risk factors to increase theirphysical activity were explored.

This thesis consists of four papers based on data from two research studies. Paper I,II, and III are based on a randomised controlled trial called the Sophia Step Study,which is a two-year, three-armed pedometer-based intervention. The three groupscomprised a multi-component group that received a pedometer and extracounselling, a single-component group that received a pedometer, and a controlgroup that received standard care.

The aim of the Sophia Step Study was to support individuals with prediabetes or type2 diabetes in becoming regularly physically active by reporting their daily number ofsteps, with or without extra counselling. Paper IV is based on a qualitative interviewstudy that explored nurses’, physicians’, and physiotherapists’ experiences in primaryhealth care when supporting patients with metabolic risk factors to physical activity.In paper I, the effects of self-monitoring steps with or without counselling supportfor HbA1c, other cardiometabolic risk factors and physical activity during the twoyearintervention were evaluated. In paper II, the effects of the intervention wereevaluated on relative time in different movement behaviours. In paper III, predictorsassociated with intermediate and post intervention increases in steps were explored. Finally, in paper IV, barriers and facilitators perceived by health care professionalswho work within Swedish primary care to support people with metabolic risk factorsto increase their physical activity were explored.

The results show that the Sophia Step Study did not have an effect on the primaryoutcome HbA1c. However, a significant effect was found for the multi-componentgroup on absolute time in moderate-to-vigorous physical activity during the entiretwo-year period, as well as for the single-component group at six months. No effect, however, was found for the absolute time in the other movement behaviours, thenumber of daily steps, any of the biomarkers or the anthropometric variables. Usingrelative time, instead of absolute time, when evaluating the effect showed a morepronounced effect in all movement behaviours within both intervention groups overthe two-year period. At six months, lower number of steps at baseline was asignificant predictor for increasing ≥500 steps per day. At 24 months, men, youngerparticipants, and those with higher self-efficacy at baseline had significantly higherodds for increasing ≥500 steps per day. Barriers and facilitators for supportingpeople with metabolic risk factors in increasing their physical activity, as experiencedby nurses, physiotherapists and physicians, were identified at multiple levels,represented by four generic categories: ‘Patient readiness for change’, ‘Supporting theprocess of change’, ‘The professional role’, and ‘The organisation of primary care’.

The overall conclusion is that the self-monitoring of steps with a pedometer seems tobe an effective behaviour change technique in maintaining healthy movementbehaviours; however, the counselling component of the intervention did not seem toimprove the effect. In addition, the intervention did not find evidence for improvedmetabolic control or improved cardiometabolic risk factors. Moreover, barriers toand facilitators for supporting patients with metabolic risk factors can be found atseveral levels within primary care, from individual patients and health careprofessionals to the organisational level. In the primary health care setting, thisshould be emphasised when implementing support with the intention to increasephysical activity in people with metabolic risk factors, prediabetes or type 2 diabetes.

Place, publisher, year, edition, pages
Stockholm: Sophiahemmet, 2023. p. 75
Series
Sophiahemmet University Dissertations ; 1
National Category
Health Sciences
Identifiers
urn:nbn:se:shh:diva-4995 (URN)978-91-988733-0-6 (ISBN)978-91-988733-1-3 (ISBN)
Public defence
2023-09-29, Weitnersalen, Sophiahemmet Högskola, Valhallavägen 91, hus R, Stockholm, 09:00 (Swedish)
Opponent
Supervisors
Available from: 2023-09-06 Created: 2023-09-06 Last updated: 2025-09-15Bibliographically approved

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Larsson, KristinaRossen, JennyJohansson, Unn-BrittHagströmer, Maria

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