Dataset Information

Effects of lifestyle physical activity in adults with fibromyalgia: results at follow-up.

ABSTRACT: In a 12-week randomized controlled trial of the effects of lifestyle physical activity (LPA) on symptoms and function among adults with fibromyalgia, we found that LPA participants increased their average daily step count by 54%, improved their self-reported functioning by 18%, and reduced their pain by 35%.The objective of the study was to evaluate the intermediate (6 months) and long-term (12 months) effects of the LPA intervention on outcomes.Participants completed follow-up assessments of physical activity, pain, fibromyalgia-related function, fatigue, depression, number of tender points, 6-minute walk test, and perceived improvement at 6 and 12 months after intervention.Of the 73 participants who completed the 12-week trial, 53 (73%) completed both the 6- and 12-month follow-up. Although the LPA participants reported greater perceived improvement at each follow-up, they did not differ from controls on pain, physical activity, tenderness, fatigue, depression, or the 6-minute walk test. Self-reported functioning declined markedly at follow-up for the LPA participants.Although participants reported greater perceived improvement at each assessment, the beneficial effects of LPA on physical activity, function, and pain found after the 12-week intervention were not sustained over time. This recidivism is seen in studies of activity and exercise in nearly any condition, and innovative methods that may prevent this are a focus of future studies.

SUBMITTER: Fontaine KR

PROVIDER: S-EPMC3206258 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature

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Effects of lifestyle physical activity in adults with fibromyalgia: results at follow-up.

Fontaine Kevin R KR Conn Lora L Clauw Daniel J DJ

Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases 20110301 2

<h4>Background</h4>In a 12-week randomized controlled trial of the effects of lifestyle physical activity (LPA) on symptoms and function among adults with fibromyalgia, we found that LPA participants increased their average daily step count by 54%, improved their self-reported functioning by 18%, and reduced their pain by 35%.<h4>Objectives</h4>The objective of the study was to evaluate the intermediate (6 months) and long-term (12 months) effects of the LPA intervention on outcomes.<h4>Methods< ...[more]

PMID: 21325963

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Project description:BackgroundExecutive functions underlie self-regulation and are thus important for physical activity and adaptation to new situations. The aim was to investigate, if yearlong physical and cognitive training (PTCT) had greater effects on physical activity among older adults than physical training (PT) alone, and if executive functions predicted physical activity at baseline, after six (6m) and twelve months (12m) of the interventions, one-year post-intervention follow-up and an extended follow-up during COVID-19 lockdown.MethodsData from a single-blinded, parallel-group randomized controlled trial (PASSWORD-study, ISRCTN52388040) were utilized. Participants were 70-85 years old community-dwelling men and women from Jyväskylä, Finland. PT (n = 159) included supervised resistance, walking and balance training, home-exercises and self-administered moderate activity. PTCT (n = 155) included PT and cognitive training targeting executive functions on a computer program. Physical activity was assessed with a one-item, seven-scale question. Executive functions were assessed with color-word Stroop, Trail Making Test (TMT) B-A and Letter Fluency. Changes in physical activity were modeled with multinomial logistic models and the impact of executive functions on physical activity with latent change score models.ResultsNo significant group-by-time interaction was observed for physical activity (p>0.1). The subjects were likely to select an activity category higher than baseline throughout the study (pooled data: B = 0.720-1.614, p<0.001-0.046). Higher baseline Stroop predicted higher physical activity through all subsequent time-points (pooled data: B = 0.011-0.013, p = 0.015-0.030). Higher baseline TMT B-A predicted higher physical activity at 6m (pooled data: B = 0.007, p = 0.006) and during COVID-19 (B = 0.005, p = 0.030). In the PT group, higher baseline Letter Fluency predicted higher physical activity at 12m (B = -0.028, p = 0.030) and follow-up (B = -0.042, p = 0.002).ConclusionsCognitive training did not have additive effects over physical training alone on physical activity, but multicomponent training and higher executive function at baseline may support adaptation to and maintenance of a physically active lifestyle among older adults.

Project description:Background In Finland, local authorities (municipalities) provide many services, including sports and physical activity facilities such as pedestrian and bicycle ways and lanes, parks, sports arenas and pools. This study aimed to determine whether local authorities can promote physical activity by allocating resources to physical activity facilities. Methods The data on municipality expenditure on physical activity and sports, number of sports associations receiving subsidies from the municipality, kilometers of ways for pedestrians and bicycles and hectares of parks in 1999 and 2010 were gathered from national registers. These data were combined using unique municipal codes with individual survey data on leisure-time physical activity (N = 3193) and commuting physical activity (N = 1394). Panel data on physical activity originated from a national health survey, the Health 2000 study, conducted in 2000–2001 and 2011–2012. We used the data of persons who answered the physical activity questions twice and had the same place of residence in both years. In the data, the individuals are nested within municipalities, and multilevel analyses could therefore be applied. The data comprised a two-wave panel and the individuals were followed over 11 years. Results The resources for physical activity varied between municipalities and years. Municipal expenditure for physical activity and total kilometers of pedestrian ways increased significantly during the 11 years, although a clear decrease was observed in individuals’ physical activity. In our models, individual characteristics including higher education level (OR 1.87) and better health status (OR 7.29) increased the odds of increasing physical activity. Female gender was associated with lower (OR 0.83) leisure-time physical activity. Living in rural areas (OR 0.37) decreased commuting physical activity, and age (OR 1.05) increased it. Women (OR 3.16) engaged in commuting physical activity more than men. Conclusions Individual-level factors were more important for physical activity than local resources. A large part of the variation in physical activity occurs between individuals, which suggests that some factors not detected in this study explain a large part of the overall variation in physical activity. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-13617-8.

Project description:BackgroundIn women, metabolic health deteriorates after menopause, and the role of physical activity (PA) in mitigating the change is not completely understood. This study investigates the changes in indicators of metabolic health around menopause and evaluates whether PA modulates these changes.MethodsLongitudinal data of 298 women aged 48-55 years at baseline participating in the ERMA and EsmiRs studies was used. Mean follow-up time was 3.8 (SD 0.1) years. Studied indicators of metabolic health were total and android fat mass, waist circumference, waist-to-hip ratio (WHR), systolic (SBP) and diastolic (DBP) blood pressure, blood glucose, triglycerides, serum total cholesterol, and high- (HDL-C) and low-density (LDL-C) lipoprotein cholesterol. PA was assessed by accelerometers and questionnaires. The participants were categorized into three menopausal groups: PRE-PRE (pre- or perimenopausal at both timepoints, n = 56), PRE-POST (pre- or perimenopausal at baseline, postmenopausal at follow-up, n = 149), and POST-POST (postmenopausal at both timepoints, n = 93). Analyses were carried out using linear and Poisson mixed-effect models.ResultsAt baseline, PA associated directly with HDL-C and inversely with LDL-C and all body adiposity variables. An increase was observed in total (B = 1.72, 95% CI [0.16, 3.28]) and android fat mass (0.26, [0.06, 0.46]), SBP (9.37, [3.34, 15.39]), and in all blood-based biomarkers in the PRE-POST group during the follow-up. The increase tended to be smaller in the PRE-PRE and POST-POST groups compared to the PRE-POST group, except for SBP. The change in PA associated inversely with the change in SBP (-2.40, [-4.34, -0.46]) and directly with the change in WHR (0.72, [0.05, 1.38]).ConclusionsIn middle-aged women, menopause may accelerate the changes in multiple indicators of metabolic health. PA associates with healthier blood lipid profile and body composition in middle-aged women but does not seem to modulate the changes in most of the studied metabolic health indicators during the menopausal transition.

Dataset Information

Effects of lifestyle physical activity in adults with fibromyalgia: results at follow-up.

Publications

Effects of lifestyle physical activity in adults with fibromyalgia: results at follow-up.

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