Physical Activity Clinical Trial
Official title:
Which Primary Care Patients Benefit From Physical Activity on Prescription? An Analysis of Factors Predicting Increased Physical Activity
The aim of this study is to explore possible predicting factors associated with physical
activity (PA) level change in a 6-month period of physical activity on prescription (PAP)
treatment. This is done in order to highlight potential predictors important for increased
PA-level and to identify which primary care patients who may benefit from the
PAP-intervention.
Four hundred forty four patients are included in the study, 27-85 years, physically inactive,
having at least one component of the metabolic syndrome (MetS) present and receiving
PAP-treatment. Possible predicting factors of PA change at baseline and PA-level at 6-month
follow-up are analyzed.
Aim:
To explore possible predicting factors associated with PA-level change in a 6-month period of
PAP-treatment. This is done in order to highlight potential predictors important for
increased PA-level and to identify which primary care patients who may benefit from the
PAP-intervention.
Methods:
Study design:
This is a longitudinal prospective observational cohort study with a 6-month follow-up of
PAP-treatment. The treatment is carried out as part of a daily clinical primary care
practice.
Study population:
The 444 patients included in the study, are selected from 15 primary health care centres in
Gothenburg, Sweden, and are 27-85 years, physically inactive, having at least one component
of the MetS present and receiving PAP-treatment. The patients have to understand the Swedish
language to fill in the questionnaires.
Intervention:
The PAP-treatment is offered by authorized personnel, educated in PA-effects and
PAP-intervention and consists of an individual-based dialogue with the patient, an
individually tailored recommendation of PA including a written prescription, and customized,
structured support during 6 months. The patients health status, previous respectively current
PA level, preferences for different physical activities, motivation, self-efficacy and
readiness to change PA behavior are evaluated. An agreed individually dosed PA is written
down and the support during the 6-month intervention is individually structured either by
revisits or by telephone contacts.
Measurements:
The following measurements are conducted at baseline and the 6-month follow-up: PA-level,
self-efficacy expectations, outcome expectations, enjoyment, social support, readiness to
change PA, body mass index (BMI), and health related quality of life. Age, sex, social
situation, economy, education, and smoking is also measured.
Statistical analysis:
A per-protocol analysis is used. In the predictor analysis, Spearman rank correlation and a
univariate regression analysis is used, respectively, to examine the association between
possible predicting factors at baseline and PA level at 6-month follow-up. Significant
predictors from the regression analysis are dichotomized into positive and negative values,
respectively, and a Chi-square test for independence is used in analysing the predictors at
baseline to increased PA level at 6-month follow-up. Statistical significance is set at p
≤0.05.
Hypothesis:
It is possible finding predicting factors among the patient´s answers according to
self-reported questionnaires for the purpose of identifying responders/non-responders to
increased physical activity level at 6 month follow-up of PAP-treatment.
Clinical implication:
Highlighting possible predicting factors to increased PA in an early stage of
PAP-intervention, offers the opportunity to support the patient in the behavioural change
process and to individualize the PAP-treatment, with the aim to increase physical activity
level.
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