Evidence map›Paper›PMID 31046720›Full record

Observational studyBMC public health2019

Which patients benefit from physical activity on prescription (PAP)? A prospective observational analysis of factors that predict increased physical activity.

Stefan Lundqvist, Mats Börjesson, Maria E H Larsson, Åsa Cider, Lars Hagberg

2 registry-linked trialsAbstract readObservational Study
In one paragraph

Observational study in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

NCT03586011 completednot on this map

Which Primary Care Patients Benefit From Physical Activity on Prescription? An Analysis of Factors Predicting Increased Physical Activity

Typeobservational_patient_registrySponsorVastra Gotaland RegionRan2010 to 2019Enrolled444ConditionsHealth Behavior, Physical Activity, Metabolic Syndrome X, Primary Health CareArmsPredicting factors for increased physical activity
NCT06749249 completednot on this map

Enjoyment Mediates Long-term Changes in Physical Activity Level in a Physical Activity on Prescription Intervention

Typeobservational_patient_registrySponsorVastra Gotaland RegionRan2010 to 2019Enrolled444ConditionsHealth Behavior, Physical Activity, Metabolic Syndrome, Primary Health Care
3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Stefan LundqvistDepartment of Health and Rehabilitation, Unit of Physiotherapy, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. stefan.lundqvist@vgregion.se.ORCID http://orcid.org/0000-0002-3467-8499
Mats BörjessonDepartment of Food and Nutrition and Sport Science, Faculty of Education, University of Gothenburg, Gothenburg, Sweden.
Maria E H LarssonDepartment of Health and Rehabilitation, Unit of Physiotherapy, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Åsa CiderDepartment of Health and Rehabilitation, Unit of Physiotherapy, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Lars HagbergUniversity Health Care Research Center, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is robust evidence that regular physical activity (PA) has positive health effects. However, the best PA methods and the most important correlates for promoting PA remain unclear. Physical activity on prescription (PAP) aims to increase the patient's motivation for and level of PA. This study investigated possible predictive baseline correlates associated with changes in the PA level over a 6-month period of PAP treatment in order to identify the primary care patients most likely to benefit from a PAP intervention.

methodsThe study included 444 patients with metabolic risk factors who were aged 27 to 85 years and physically inactive. The patients received PAP treatment that included individual counseling plus an individually-tailored PA recommendation with a written prescription and individualised structured follow-up for 6 months. Eight baseline correlates of PA were analysed against the PA level at the 6-month follow-up in a predictor analysis.

resultsFive baseline correlates predicted the PA level at the 6-month follow-up: self-efficacy expectations for changing PA; the patient's preparedness and confidence regarding readiness to change PA; a BMI <  30; and a positive valued physical health. The proportion of patients increasing the PA level and achieving a PA level that was in accordance with public health recommendations was higher with a positive valued baseline correlate. The odds of achieving the recommended PA level increased substantially when 2 to 4 predictive correlates were present. PA levels increased to a greater extent among patients with low PA at baseline than patients with high PA at baseline, especially in combination with 2 to 4 positively-valued correlates (87-95% vs. 62-75%).

conclusionsThis study identified potential predictive correlates of an increased PA level after a 6-month PAP intervention. This contributes to our understanding of PAP and could help individualise PAP support. The proportion of patients with the lowest PA level at baseline increased their PA level in a higher extent (84%) and thus may benefit the most from PAP. These results have clinical implications for behavioural change in those patients having the greatest health gains by increasing their PA level.

trial registrationClinicalTrials.gov ; NCT03586011 . Retrospectively registered on July 17, 2018.

Indexed as

ExerciseHealth BehaviorAdultAgedAged, 80 and overCounselingFemaleHealth PromotionHumansMaleMetabolic SyndromeMiddle AgedMotor ActivityPrescriptionsPrimary Health CareProspective StudiesCorrelates of physical activityHealth behaviourMetabolic syndromePhysical activityPhysical activity on prescriptionPredictive factor

Identifiers

PMID31046720
PMCPMC6498468

What OpenQuestion holds

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LicenceCC BY
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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.