scholarly journals Factors that may mediate the relationship between physical activity and the risk for developing knee osteoarthritis

2008 ◽  
Vol 10 (1) ◽  
pp. 203 ◽  
Author(s):  
Donna M Urquhart ◽  
Cathy Soufan ◽  
Andrew J Teichtahl ◽  
Anita E Wluka ◽  
Fahad Hanna ◽  
...  
2021 ◽  
Author(s):  
Melissa A. Boswell ◽  
Kris M. Evans ◽  
Sean R. Zion ◽  
Danielle Z. Boles ◽  
Jennifer L. Hicks ◽  
...  

Objectives. We compared mindsets about physical activity among those with and without knee osteoarthritis and investigated if these mindsets relate to physical activity level and symptom management. Methods. Participants with (n=150) and without (n=152) knee osteoarthritis completed an online survey at study enrollment (T1). Participants with knee osteoarthritis repeated the survey three weeks later (T2; n=62). The mindset questionnaire, scored from 1-4, assessed the extent to which individuals associate the process of exercising with less appeal-focused qualities (e.g., boring, painful, isolating, and depriving) vs. appeal-focused (e.g., fun, pleasurable, social, and indulgent) versus. Using linear regression, we examined the relationship between mindset and having knee osteoarthritis, and, in the subgroup of participants with knee osteoarthritis, the relationship between mindset at T1 and physical activity (via the Physical Activity Scale for the Elderly) at T2. We also compared mindsets between those who use medication for management and those who use exercise. Results. A less appeal-focused mindset regarding physical activity was marginally associated with having knee osteoarthritis (β=-0.125, P=0.096). Within the knee osteoarthritis group, a more appeal-focused mindset predicted higher future physical activity (β=20.68, P=0.039), controlling for current physical activity, demographics, and health. Individuals that used exercise with or without pain medication or injections had more appeal-focused process mindsets than those who used medication or injections without exercise (P<0.001). Further, the process mindset inventory demonstrated strong internal consistency (α=0.92 at T1 for n=150 and α=0.92 at T2 for n=62) and test-retest reliability (ICC>0.841, P<0.001) within the knee osteoarthritis population. Conclusion. In individuals with knee osteoarthritis, mindsets predict future physical activity levels and relate to an individual's management strategy. Mindsets are a reliable and malleable construct and may be a valuable target for increasing physical activity and improving adherence to rehabilitation strategies involving exercise among individuals with knee osteoarthritis.


2020 ◽  
Vol 68 (9) ◽  
pp. 2015-2020
Author(s):  
Nivaas Thanoo ◽  
Abigail L. Gilbert ◽  
Sean Trainor ◽  
Pamela A. Semanik ◽  
Jing Song ◽  
...  

2013 ◽  
Vol 10 (6) ◽  
pp. 777-783 ◽  
Author(s):  
Elizabeth Chmelo ◽  
Barbara Nicklas ◽  
Cralen Davis ◽  
Gary D. Miller ◽  
Claudine Legault ◽  
...  

Purpose:To assess correlates of physical activity, and to examine the relationship between physical activity and physical functioning, in 160 older (66 ± 6 years old), overweight/obese (mean body mass index = 33.5 ± 3.8 kg/m2), sedentary (less than 30 mins of activity, 3 days a week) individuals with knee osteoarthritis.Methods:Physical activity was measured with accelerometers and by self-report. Physical function was assessed by 6-min walk distance, knee strength, and the Short Physical Performance Battery. Pain and perceived function were measured by questionnaires. Pearson correlations and general linear models were used to analyze the relationships.Results:The mean number of steps taken per day was 6209 and the average PAEE was 237 ± 124 kcal/day. Participants engaged in 131 ± 39 minutes of light physical activity (LPA) and 10.6 ± 8.9 minutes of moderate-vigorous physical activity (MPA/VPA). Total steps/day, PAEE, and minutes of MPA/VPA were all negatively correlated with age. The 6-min walk distance and lower extremity function were better in those who had higher total steps/day, higher PAEE, higher minutes of MPA/VPA, and a higher PASE score.Conclusions:This study demonstrates that a population who has higher levels of spontaneous activity have better overall physical function than those who engage in less activity.


2020 ◽  
Vol 27 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Markus Gerber ◽  
René Schilling ◽  
Flora Colledge ◽  
Sebastian Ludyga ◽  
Uwe Pühse ◽  
...  

1994 ◽  
Vol 72 (01) ◽  
pp. 058-064 ◽  
Author(s):  
Goya Wannamethee ◽  
A Gerald Shaper

SummaryThe relationship between haematocrit and cardiovascular risk factors, particularly blood pressure and blood lipids, has been examined in detail in a large prospective study of 7735 middle-aged men drawn from general practices in 24 British towns. The analyses are restricted to the 5494 men free of any evidence of ischaemic heart disease at screening.Smoking, body mass index, physical activity, alcohol intake and lung function (FEV1) were factors strongly associated with haematocrit levels independent of each other. Age showed a significant but small independent association with haematocrit. Non-manual workers had slightly higher haematocrit levels than manual workers; this difference increased considerably and became significant after adjustment for the other risk factors. Diabetics showed significantly lower levels of haematocrit than non-diabetics. In the univariate analysis, haematocrit was significantly associated with total serum protein (r = 0*18), cholesterol (r = 0.16), triglyceride (r = 0.15), diastolic blood pressure (r = 0.17) and heart rate (r = 0.14); all at p <0.0001. A weaker but significant association was seen with systolic blood pressure (r = 0.09, p <0.001). These relationships remained significant even after adjustment for age, smoking, body mass index, physical activity, alcohol intake, lung function, presence of diabetes, social class and for each of the other biological variables; the relationship with systolic blood pressure was considerably weakened. No association was seen with blood glucose and HDL-cholesterol. This study has shown significant associations between several lifestyle characteristics and the haematocrit and supports the findings of a significant relationship between the haematocrit and blood lipids and blood pressure. It emphasises the role of the haematocrit in assessing the risk of ischaemic heart disease and stroke in individuals, and the need to take haematocrit levels into account in determining the importance of other cardiovascular risk factors.


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