Physical activity intensity and biological markers among adults with diabetes: considerations by age and gender

The present study examines the association between physical activity (PA) participation modes (i.e., family, friends, club members, and alone), PA volumes (i.e., intensity and duration), gender, and injury. A total of 9000 Koreans aged 10–89 years participated in the Korean Survey of Citizens’ Sports Participation project. However, participants who did not respond to a question regarding PA participation modes (n = 2429) and those under 18 years old (n = 489) were excluded from this study. Analysis of variance (ANOVA) was used to compare the groups’ characteristics and the association between PA participation modes and injury was demonstrated by conducting multinomial logistic regression analysis. The risk of injury was significantly higher in the friend and club member groups than in the alone group. In addition, PA intensity and gender were critical risk factors of injury, while PA duration showed no significant results. The results indicated a strong association between PA participation modes, PA intensity, gender, and injury, and an interesting finding is that more injuries derived from a higher intensity of PA, not from a longer duration of PA. Therefore, this present study directly documented that considerable attention should be placed on the factors that affect injuries, such as gender and PA intensity, to prevent unpredictable injury and encourage potential participants to exercise with diverse participation modes and appropriate intensity.

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Age and Gender Differences in Physical Activity, Overweight and Obesity: Results from a National Survey of Canadian Youth

PsycEXTRA Dataset ◽

10.1037/e509012013-089 ◽

2004 ◽

Author(s):

Kenneth Allison ◽

Hyacinth Irving ◽

Karen Yoshida ◽

John Dwyer ◽

Irving Rootman

Keyword(s):

Physical Activity ◽

Gender Differences ◽

National Survey ◽

Overweight And Obesity ◽

Age And Gender ◽

Canadian Youth ◽

Age And Gender Differences ◽

And Gender

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Estimation of physical activity using accelerometry in adult populations: Using the Sensewear Armband and the ACT24 as comparison tools for the estimation of energy expenditure and physical activity intensity by the Sojourn method

10.31274/etd-180810-6101 ◽

2018 ◽

Author(s):

Matthew Stewart

Keyword(s):

Physical Activity ◽

Energy Expenditure ◽

Physical Activity Intensity ◽

Sensewear Armband ◽

Activity Intensity

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Physical Activity and Quality of Life in Hemodialysis Patients and Healthy Controls: A Cross-Sectional Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18041978 ◽

2021 ◽

Vol 18 (4) ◽

pp. 1978

Author(s):

Tjaša Filipčič ◽

Špela Bogataj ◽

Jernej Pajek ◽

Maja Pajek

Keyword(s):

Quality Of Life ◽

Physical Activity ◽

Everyday Life ◽

Habitual Physical Activity ◽

Healthy Controls ◽

Age And Gender ◽

Comorbidity Score ◽

Sf 36 ◽

And Gender

Hemodialysis (HD) patients have lower functional abilities compared to healthy people, and this is associated with lower physical activity in everyday life. This may affect their quality of life, but research on this topic is limited. Therefore, the present study aimed to determine the relationship between habitual physical activity and quality of life in HD patients and healthy controls. Ninety-three HD patients and 140 controls participated in the study. Quality of life was assessed using a 36-item medical outcomes study short-form health survey (SF-36). Human Activity Profile (HAP) was used to assess habitual physical activity. The adjusted activity score (AAS) from HAP, age, gender, fat tissue index (FTI), lean tissue index (LTI), and Davies comorbidity score were analyzed as possible predictors of the Physical Component Summary (PCS) of the SF-36. Three sequential linear models were used to model PCS. In Model 1, PCS was regressed by gender and age; in Model 2 the LTI, FTI, and Davies comorbidity scores were added. Model 3 also included AAS. After controlling for age and gender (ModelHD 1: p = 0.056), LTI, FTI, and Davies comorbidity score effects (ModelHD 2: p = 0.181), the AAS accounted for 32% of the variation in PCS of HD patients (ModelHD 3: p < 0.001). Consequently, the PCS of HD patients would increase by 0.431 points if the AAS increased by one point. However, in healthy controls, AAS had a lower impact than in the HD sample (B = 0.359 vs. 0.431), while the corresponding effects of age and gender (ModelH 1: p < 0.001), LTI, FTI, and Davies comorbidity score (ModelH 2: p < 0.001) were adjusted for. The proportion of variation in PCS attributed to AAS was 14.9% (ModelH 3: p < 0.001). The current study results showed that physical activity in everyday life as measured by the HAP questionnaire is associated to a higher degree with the quality of life of HD patients than in healthy subjects. Routine physical activity programs are therefore highly justified, and the nephrology community should play a leading role in this effort.

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