Within-person pain variability and physical activity in older adults with osteoarthritis from six European countries.


Journal

BMC musculoskeletal disorders
ISSN: 1471-2474
Titre abrégé: BMC Musculoskelet Disord
Pays: England
ID NLM: 100968565

Informations de publication

Date de publication:
05 Jan 2019
Historique:
received: 23 08 2018
accepted: 21 12 2018
entrez: 7 1 2019
pubmed: 7 1 2019
medline: 23 4 2019
Statut: epublish

Résumé

This study examines the association of both pain severity and within-person pain variability with physical activity (PA) in older adults with osteoarthritis (OA). Data from the European Project on OSteoArthritis were used. At baseline, clinical classification criteria of the American College of Rheumatology were used to diagnose OA in older adults (65-85 years). At baseline and 12-18 months follow-up, frequency and duration of participation in the activities walking, cycling, gardening, light and heavy household tasks, and sports activities were assessed with the Longitudinal Aging Study Amsterdam Physical Activity Questionnaire. Physical activity was calculated in kcal/day, based on frequency, duration, body weight and the metabolic equivalent of each activity performed. At baseline and 12-18 months follow-up, pain severity was assessed using the pain subscales of the Western Ontario and McMaster Universities OA Index and the Australian/Canadian Hand OA Index. Within-person pain variability was assessed using two-week pain calendars that were completed at baseline, 6 months follow-up and 12-18 months follow-up. Of all 669 participants, 70.0% were women. Sex-stratified multiple linear regression analyses showed that greater pain severity at baseline was cross-sectionally associated with less PA in women (Ratio = 0.95, 95% CI = 0.90-0.99), but not in men (Ratio = 0.99, 95% CI = 0.85-1.15). The longitudinal analyses showed a statistically significant inverse association between pain severity at baseline and PA at follow-up in women (Ratio = 0.94, 95% CI = 0.89-0.99), but not in men (Ratio = 1.00, 95% CI = 0.87-1.11). Greater pain variability over 12-18 months was associated with more PA at follow-up in men (Ratio = 1.18, 95% CI = 1.01-1.38), but not in women (Ratio = 0.94, 95% CI = 0.86-1.03). Greater pain severity and less pain variability are associated with less PA in older adults with OA. These associations are different for men and women. The observed sex differences in the various associations should be studied in more detail and need replication in future research.

Sections du résumé

BACKGROUND BACKGROUND
This study examines the association of both pain severity and within-person pain variability with physical activity (PA) in older adults with osteoarthritis (OA).
METHODS METHODS
Data from the European Project on OSteoArthritis were used. At baseline, clinical classification criteria of the American College of Rheumatology were used to diagnose OA in older adults (65-85 years). At baseline and 12-18 months follow-up, frequency and duration of participation in the activities walking, cycling, gardening, light and heavy household tasks, and sports activities were assessed with the Longitudinal Aging Study Amsterdam Physical Activity Questionnaire. Physical activity was calculated in kcal/day, based on frequency, duration, body weight and the metabolic equivalent of each activity performed. At baseline and 12-18 months follow-up, pain severity was assessed using the pain subscales of the Western Ontario and McMaster Universities OA Index and the Australian/Canadian Hand OA Index. Within-person pain variability was assessed using two-week pain calendars that were completed at baseline, 6 months follow-up and 12-18 months follow-up.
RESULTS RESULTS
Of all 669 participants, 70.0% were women. Sex-stratified multiple linear regression analyses showed that greater pain severity at baseline was cross-sectionally associated with less PA in women (Ratio = 0.95, 95% CI = 0.90-0.99), but not in men (Ratio = 0.99, 95% CI = 0.85-1.15). The longitudinal analyses showed a statistically significant inverse association between pain severity at baseline and PA at follow-up in women (Ratio = 0.94, 95% CI = 0.89-0.99), but not in men (Ratio = 1.00, 95% CI = 0.87-1.11). Greater pain variability over 12-18 months was associated with more PA at follow-up in men (Ratio = 1.18, 95% CI = 1.01-1.38), but not in women (Ratio = 0.94, 95% CI = 0.86-1.03).
CONCLUSIONS CONCLUSIONS
Greater pain severity and less pain variability are associated with less PA in older adults with OA. These associations are different for men and women. The observed sex differences in the various associations should be studied in more detail and need replication in future research.

Identifiants

pubmed: 30611248
doi: 10.1186/s12891-018-2392-0
pii: 10.1186/s12891-018-2392-0
pmc: PMC6320627
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

12

Subventions

Organisme : Medical Research Council
ID : MC_UP_A620_1015
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U147574237
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U147574234
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12011/2
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U147585819
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UP_A620_1014
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12011/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0400491
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U147585824
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U147585827
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U147574212
Pays : United Kingdom

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Auteurs

Erik J Timmermans (EJ)

Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, VU University Medical Center, Amsterdam Public Health Research Institute, De Boelelaan 1089A, 1081HV, Amsterdam, Netherlands. ej.timmermans@vumc.nl.

Elisa J de Koning (EJ)

Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, VU University Medical Center, Amsterdam Public Health Research Institute, De Boelelaan 1089A, 1081HV, Amsterdam, Netherlands.

Natasja M van Schoor (NM)

Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, VU University Medical Center, Amsterdam Public Health Research Institute, De Boelelaan 1089A, 1081HV, Amsterdam, Netherlands.

Suzan van der Pas (S)

Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, VU University Medical Center, Amsterdam Public Health Research Institute, De Boelelaan 1089A, 1081HV, Amsterdam, Netherlands.

Michael D Denkinger (MD)

Geriatric Research Unit / Institute of Epidemiology and Medical Biometry, AGAPLESION Bethesda Hospital, Ulm University, Ulm, Germany.

Elaine M Dennison (EM)

MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK.

Stefania Maggi (S)

National Research Council, Aging Branch, Institute of Neuroscience, Padova, Italy.

Nancy L Pedersen (NL)

Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.

Ángel Otero (Á)

Department of Preventive Medicine and Public Health, Unit of Primary Care and Family Medicine, Faculty of Medicine, Universidad Autonoma de Madrid, Madrid, Spain.

Richard Peter (R)

Institute of the History, Philosophy and Ethics of Medicine, Ulm University, Ulm, Germany.

Cyrus Cooper (C)

MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK.

Paola Siviero (P)

National Research Council, Aging Branch, Institute of Neuroscience, Padova, Italy.

Maria Victoria Castell (MV)

Department of Preventive Medicine and Public Health, Unit of Primary Care and Family Medicine, Faculty of Medicine, Universidad Autonoma de Madrid, Madrid, Spain.

Florian Herbolsheimer (F)

Institute of the History, Philosophy and Ethics of Medicine, Ulm University, Ulm, Germany.

Mark Edwards (M)

MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK.

Federica Limongi (F)

National Research Council, Aging Branch, Institute of Neuroscience, Padova, Italy.

Dorly J H Deeg (DJH)

Department of Epidemiology and Biostatistics, Amsterdam University Medical Center, VU University Medical Center, Amsterdam Public Health Research Institute, De Boelelaan 1089A, 1081HV, Amsterdam, Netherlands.

Laura A Schaap (LA)

Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.

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Classifications MeSH