Date: 17 Nov 2012
Daily Spousal Influence on Physical Activity in Knee Osteoarthritis
Rent the article at a discountRent now
* Final gross prices may vary according to local VAT.Get Access
Physical activity is critical for the management of knee osteoarthritis, and the spouse may play a role in encouraging or discouraging physical activity.
The purpose of this study was to examine four types of spousal influence—spouses’ daily activity, autonomy support, pressure, and persuasion—on the daily physical activity of adults living with knee osteoarthritis.
A total of 141 couples reported their daily experiences for 22 days using a handheld computer and wore an accelerometer to measure moderate activity and steps.
Spouses’ autonomy support for patient physical activity, as well as their own level of activity, was concurrently associated with patients’ greater daily moderate activity and steps. In addition, on days when male patients perceived that spouses exerted more pressure to be active, they spent less time in moderate activity.
Couple-oriented interventions for knee osteoarthritis should target physical activity in both partners and spousal strategies for helping patients stay active.
U.S. Department of Health and Human Services. Physical Activity Guidelines Advisory Committee Report. Washington, DC; 2008.
Murphy L, Schwartz TA, Helmick CG, et al. Lifetime risk of symptomatic knee osteoarthritis. Arthritis Care Res. 2008;59(9):1207-1213.CrossRef
Pate RR, Pratt M, Blair S. N, et al. Physical activity and public health: A recommendation from the Centers for Disease Control and the American College of Sports Medicine. JAMA. 1995; 273: 402–407.
U.S. Department of Health and Human Services, Centers for Disease Control and Prevention. Physical activity and health: A report of the Surgeon General. Atlanta, GA; 1996.
Hirvensalo M, Rantanen T, Heikkinen E. Mobility difficulties and physical activity as predictors of mortality and loss of independence in the community-living older population. J Am Geriatr Soc. 2000;48:493-498.PubMed
Moreau K, Degarmo R, Langley J, et al. Increasing daily walking lowers blood pressure in postmenopausal women. Med Sci Sports Exerc. 2001;11:1825-1831.
Deci EL, Ryan RM. Intrinsic motivation and self-determination in human behavior. New York, NY: Plenum; 1985.
Sheldon KM, Williams GC, Joiner T. Self-determination theory in the clinic: Motivating physical and mental health. New Haven, CT: Yale University Press; 2003.
Fortier MS, Sweet SN, O’Sullivan TL, Williams GC. A self-determination process model of physical activity adoption in the context of a randomized controlled trial. Psychol Sport Exerc. 2007;8:741-757.CrossRef
Ryan RM, Williams GC, Patrick H, Deci EL. Self-determination theory and physical activity: The dynamics of motivation in development and wellness. Hellenic J Psychol. 2009;6:107-124.
Rook KS. Social networks as a source of social control in older adults’ lives. In: Giles H, Coupland N, Wiemann J, eds. Communication, Health, and the Elderly. Manchester, UK: University of Manchester Press; 1990:45-63.
Tucker JS, Anders SL. Social control of health behaviors in marriage. J Appl Soc Psychol. 2001;31(3):467-485.CrossRef
Novak SA, Webster GD. Spousal social control during a weight loss attempt: A daily diary study. Pers Relat. 2011;18(2):224-241.CrossRef
Tucker JS. Health-related social control within older adults’ relationships. J Gerontol Psychol Sci. 2002;57:387-395.CrossRef
Pettee KK, Brach JS, Kriska AM, et al. Influence of marital status on physical activity levels among older adults. Med Sci Sport Exerc. 2006;38(3):541-546.CrossRef
Bakan D. The duality of human existence: Isolation and communion in Western man. Chicago, IL: Rand McNally; 1966.
The NS, Gordon-Larsen P. Entry into romantic partnership is associated with obesity. Obesity. 2009;17(7):1441-1447.PubMed
Troiano RP, Berrigan D, Dodd KW, et al. Physical activity in the United States measured by accelerometer. Med Sci Sport Exerc. 2008;40(1):181-188.
Matthews CE, Ainsworth BE, Thompson RW, Bassett DR Jr. Sources of variance in daily physical activity levels as measured by an accelerometer. Med Sci Sport Exerc. 2002;34(8):1376-1381.CrossRef
Swartz AM, Strath SJ, Bassett DR Jr, et al. Estimation of energy expenditure using CSA accelerometers at hip and wrist sites. Med Sci Sport Exerc. 2000;32:450-456.CrossRef
Martire LM, Scheier MF. Physical comorbidity index. 2000.
Williams GC, Lynch MF, McGregor HA, et al. Validation of the “important other” climate questionnaire: Assessing autonomy support for health-related change. Fam Syst Health. 2006;24(2):179-194.CrossRef
Prager KJ, Buhrmester D. Intimacy and need fulfillment in couple relationships. J Soc Pers Relat. 1998;15(4):435-469.CrossRef
Crouter SE, Churilla JR, Bassett DR Jr. Estimating energy expenditure using accelerometers. Eur J Appl Physiol. 2006;98:602-612.
Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sport Exerc. 1998;30:777-781.CrossRef
Brach JS, Wert D, VanSwearingen JM, Studenski SA. The Compendium of Physical Activity underestimates walking intensity in old more so than in young. J Am Geriatr Soc. 2009;57:S110.
Matthews CE. Calibration of accelerometer output for adults. Med Sci Sport Exerc. 2005;37(11):S512-S522.CrossRef
Matthews CE, Ainsworth BE, Hanby C, et al. Development and testing of a short physical activity recall questionnaire. Med Sci Sport Exerc. 2005;37(6):986-994.
Payn T, Pfeiffer KA, Hutto B, et al. Daily steps in midlife and older adults: Relationship with demographic, self-rated health, and self-reported physical activity. Res Q Exerc Sport. 2008;79:128-132.PubMed
Raudenbush SW, Bryk AS. Hierarchical linear models: Applications and data analysis methods. Thousand Oaks, CA: Sage; 2002.
Reichardt CS. The statistical analysis of data from nonequivalent group designs. In: Cook TD, Campbell DT, eds. Quasi-experimentation: Design & Analysis Issues for Field Settings. Boston, MA: Houghton Mifflin; 1979:147-205.
Kasser VG, Ryan RM. The relation of psychosocial needs for autonomy and relatedness to vitality, well-being, and mortality in a nursing home. J Appl Soc Psychol. 1999;29(5):935-954.CrossRef
Stephens MAP, Franks MM, Rook KS, et al. Spouses’ attempts to regulate day-to-day dietary adherence among patients with type 2 diabetes. Health Psychol. 2012. doi:10.1037/a0030018.
Nezlek JB. Using multilevel random coefficient modeling to analyze social interaction diary data. J Soc Pers Relat. 2003;20(4):437-469.CrossRef
Davis MG, Fox KR, Hillsdon M, et al. Objectively measured physical activity in a diverse sample of older urban UK adults. Med Sci Sport Exerc. 2011;43(4):647-654.CrossRef
- Daily Spousal Influence on Physical Activity in Knee Osteoarthritis
Annals of Behavioral Medicine
Volume 45, Issue 2 , pp 213-223
- Cover Date
- Print ISSN
- Online ISSN
- Additional Links
- Physical activity
- Daily diary
- Autonomy support
- Social control
- Industry Sectors
- Author Affiliations
- 1. Department of Human Development & Family Studies, Penn State University, 114-J Henderson North, University Park, PA, 16802, USA
- 2. Department of Psychology, Kent State University, Kent, OH, USA
- 3. Center for Healthy Aging, Penn State University, University Park, PA, USA
- 4. Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- 5. Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA, USA
- 6. Department of Psychiatry, Duke University, Durham, NC, USA