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Relative time in physical activity and sedentary behaviour across a 2-year pedometer-based intervention in people with prediabetes or type 2 diabetes: A secondary analysis of a randomised controlled trial
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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2023 (English)In: Journal of Activity, Sedentary and Sleep Behaviors, E-ISSN 2731-4391, Vol. 2, no 1, article id 10Article in journal (Refereed) Published
Abstract [en]

Background: People with prediabetes or type 2 diabetes (T2D) need to be physically active, including moderate-to-vigorous intensity physical activity (MVPA) and light-intensity physical activity (LIPA) and reduce time in sedentary behaviour (SB). Few studies have evaluated the effect of randomised controlled trials taking all movement behaviours into account. This study aimed to investigate the effects of a 2-year pedometer-based intervention in people with prediabetes or T2D on relative time in movement behaviours.

Methods: Secondary analysis of longitudinal data on individuals with prediabetes or T2D from a three-armed randomised controlled trial, the Sophia Step Study, was conducted. The three groups were (1) a multi‑component group (self‑monitoring of steps with a pedometer plus counselling), (2) a single‑component group (self‑monitoring of steps with a pedometer, without counselling), and (3) a standard care group (control). The three behaviours MVPA, LIPA and SB during waking hours were measured with an ActiGraph GT1M accelerometer at baseline, 6, 12, 18 and 24 months. Relative time in MVPA, LIPA and SB for each participant at each time point was calculated and used as outcome measures. Linear mixed models assessed the effect of the intervention over time.

Results: In total 184 participants with mean (SD) age 64.3 (7.6) years and 41% female was included. In the multi-component group, compared to the control group, a significant group-by-time interaction effect for relative time in all three behaviours was found at 6 and 18 months and for MVPA and SB at 24 months. In the single-component group, compared to the control group, an effect occurred in the MVPA and SB behaviours at 6 months and MVPA and LIPA at 24 months. The estimated marginal means ranged from 0.9 to 1.5% of more MVPA, 1.9–3.9% of less LIPA and from 0.5% of less SB to 1.7 more SB in the intervention groups compared to the control group.

Conclusions: The findings show a beneficial effect on all behaviours over time in the two intervention groups compared to the control group. A more pronounced effect occurred in the multi-component intervention compared to the single-component intervention, implicating the importance of counselling in pedometer-based interventions.

Trial registration ClinicalTrials.gov, NCT02374788

Place, publisher, year, edition, pages
2023. Vol. 2, no 1, article id 10
National Category
Nursing
Identifiers
URN: urn:nbn:se:shh:diva-4993DOI: 10.1186/s44167-023-00020-wOAI: oai:DiVA.org:shh-4993DiVA, id: diva2:1793951
Available from: 2023-09-04 Created: 2023-09-04 Last updated: 2023-09-06Bibliographically 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)
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Supervisors
Available from: 2023-09-06 Created: 2023-09-06 Last updated: 2024-05-15Bibliographically approved

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Larsson, KristinaRossen, JennyJohansson, Unn-BrittHagströmer, Maria

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