scholarly journals Physical activity vs. health related somatic features of middle-aged and elderly people

2011 ◽  
Vol 25 (4) ◽  
Author(s):  
Dariusz Pośpiech ◽  
Izabela Zając-Gawlak ◽  
Miroslava Přidalová ◽  
Jana Pelclová
2020 ◽  
Vol 3 (31(58)) ◽  
pp. 16-18
Author(s):  
Olga Nikolaevna Taranina ◽  
Marina Vladislavovna Silutina ◽  
Svetlana Georgievna Testova ◽  
Anna Alexandrovna Alyokhina

The article presents data on the level of physical activity in middle-aged and elderly people. The main reasons for normal or low physical activity of this category of persons are noted.


2017 ◽  
Vol 22 (2) ◽  
pp. 246-253 ◽  
Author(s):  
Chantal M. Koolhaas ◽  
K. Dhana ◽  
F. J. A. van Rooij ◽  
J. D. Schoufour ◽  
A. Hofman ◽  
...  

1995 ◽  
Vol 27 (5) ◽  
pp. 707???712 ◽  
Author(s):  
RAINER RAURAMAA ◽  
PETRI TUOMAINEN ◽  
SARI VAISANEN ◽  
TUOMO RANKINEN

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 999.2-1000
Author(s):  
S. Terpstra ◽  
J. Van der Velde ◽  
R. De Mutsert ◽  
D. Schiphof ◽  
M. Reijnierse ◽  
...  

Background:Lack of physical activity in individuals with knee OA has shown to be associated with increased cardiovascular risk and mortality. Consequently, physical activity is a potential target for interventions in knee OA. However, most of the available studies concerning physical activity in individuals with knee OA were performed in relatively old populations with an inactive lifestyle. It is unclear how previous results can be generalized to other populations with different lifestyle and physical activity habits.Objectives:To investigate if knee OA is associated with lower physical activity in a general middle-aged Dutch population. Furthermore, to investigate the association of physical activity with patient reported outcomes such as knee pain and function, and health-related quality of life in individuals with knee OA.Methods:We used cross-sectional data from the Netherlands Epidemiology of Obesity (NEO) study, in which participants aged 45-65 years were included. Clinical knee OA was defined using the ACR criteria. Structural knee OA was defined on MRI using the modified criteria by Hunter et al. in a random subset of 1,285 individuals of our study population.We assessed knee pain and function with the Knee injury and Osteoarthritis Score (KOOS), and health-related quality of life (HRQoL) with the Short Form (SF)-36. Physical activity (in Metabolic Equivalent of Task (MET) hours per week) was assessed using the Short Questionnaire to Assess Health-enhancing physical activity (SQUASH).We used linear regression analyses to investigate 1) the association of knee OA with physical activity, and 2) of physical activity with knee pain, function, and HRQoL in participants with clinical knee OA. All analyses were adjusted for age, sex, body mass index (BMI), ethnicity, educational level and comorbidities. To account for possible information bias, we performed a sensitivity analysis to assess the association between clinical knee OA and physical activity measured by an accelerometer in a random subset of 15% of the study population.Results:Of 6,212 participants, we observed clinical knee OA in 14%, and structural knee OA in 12%. The general population characteristics and median physical activity of our study population are presented in Table 1. In comparison to participants without knee OA, participants with clinical knee OA had on average 9.60 (95% CI 3.70;15.50) MET hours per week more total physical activity (Figure 1). Structural knee OA was associated with 3.97 (-7.82; 15.76) MET hours per week more physical activity, compared with no structural knee OA.Sensitivity analysis showed a weak positive association of clinical knee OA with physical activity measured by an accelerometer: 2.37 (-6.05; 10.80) MET hours per week more physical activity in participants with clinical knee OA, compared with participants without clinical knee OA.In the subpopulation of participants with clinical knee OA, physical activity was not associated with knee pain, function or HRQoL.Conclusion:Knee OA was not associated with lower physical activity in this middle-aged Dutch population. This contrasts previous findings and warrants caution when generalizing physical activity outcomes to other populations. Furthermore, it stresses the need of more insight in the barriers and facilitators of physical activity in the middle-aged population.Table 1.Characteristics of the NEO study populationAlln = 6,214No clinical knee OA86%Clinical knee OA14%General population characteristics Age (year)55.7 (6.0)55.4 (6.1)57.5 (5.0) Sex (% women)555467 BMI (kg/m2)26.3 (4.4)26.1 (4.3)27.6 (5.1) Comorbidities (% present)242332Physical activity Total^ (MET-hours per week)118.8 (76.8;155.0)118.4 (76.6;154.4)123.5 (77.8;157.2)Numbers represent mean (SD) or percentages. ^median (25th, 75th percentiles). Abbreviations: OA = osteoarthritis. BMI = Body Mass Index. MET = Metabolic Equivalent of Task.Disclosure of Interests:None declared


Author(s):  
Mikyung Ryu ◽  
Sol Lee ◽  
Ho Kim ◽  
Weon-Chil Baek ◽  
Heejin Kimm

Background: There have been few studies reporting the association between health-related quality of life (HRQoL) and osteoarthritis (OA) in female subjects performing aerobic exercise or not. The aim of this study is to compare HRQoL between OA patients and non-OA subjects in middle aged Korean women (40–59 years) with/without aerobic physical activity, and also to identify an association between EQ-5D instrument based HRQoL and OA controlling for aerobic exercise. Methods: This study used the cross-sectional data, the Korea National Health and Nutrition Examination Survey (KNANES) from 2016 to 2017. We only selected those who had completed the evaluations of aerobic physical activity and osteoarthritis diagnosis. In total, 2445 middle aged women were finally selected for this study. The European quality of life-5 dimensions (EQ-5D) was used for the evaluation of HRQoL as a dependent variable. In socio-demographic factors, age, sex, income level, education level, marital status, economic activity, type of insurance and private insurance and behaviour-related factors were included. One-way analysis of variance was conducted to compare the EQ-5D index and multiple linear regression analysis was employed to identify associated factors with the EQ-5D index. Results: In total, 2445 middle aged women were included in this study, in which 2209 participants were normal (90.0%) with aerobic physical activity (no: 55.0%, yes: 45.0%) and 246 participants were diagnosed with osteoarthritis (10.0%) with aerobic physical activity (no: 56.1%, yes: 43.9%). In group 2-2 (OA with aerobic), the moderate level of muscle exercise (less than 5 days per week) showed the highest HRQoL (p < 0.05) and high level exercise showed the lowest HRQoL (p < 0.05). In menopause status, the participants under menopause status showed lower HRQoL (p < 0.05) than those not under menopause status in group 2-2 (OA with aerobic) only. Conclusions: The HRQoL of OA patients was significantly lower than that of normal participants in middle aged Korean women (40–59 years). Especially, OA patients with maintained aerobic physical activity showed significantly higher HRQoL than those without that under controlling covariates such as age, income level, education level, marital status, economic activity, type of insurance, etc.


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