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1.
J Aging Phys Act ; 30(5): 761-769, 2022 10 01.
Article in English | MEDLINE | ID: mdl-34879331

ABSTRACT

A cross-sectional study was conducted to compare the habitual physical activity level, measured by accelerometry, gait performance, assessed by the GAITRite® system, handgrip strength, and static balance between older Brazilian women who participate (n = 50; 70.7 ± 5.5 years) and do not participate (n = 50; 70.1 ± 5.6 years) in a regular physical exercise program, and to investigate whether participation in a regular exercise program ensures compliance with physical activity recommendations. Older women who participated in a regular physical exercise program had significantly shorter sedentary activity time (effect size [ES] = 0.54), longer moderate activity time (ES = 0.85), and higher energy expenditure (ES = 0.64), number of steps (ES = 0.82), gait speed (ES = 0.49), and step length (ES = 0.45). However, regular participation in an exercise program did not guarantee compliance with physical activity recommendations. Behavioral changes to increase physical activity levels among older women who do and do not participate in a regular exercise program are necessary.


Subject(s)
Exercise , Hand Strength , Accelerometry , Aged , Brazil , Cross-Sectional Studies , Exercise Therapy , Female , Humans
2.
Physiother Theory Pract ; 36(3): 424-431, 2020 Mar.
Article in English | MEDLINE | ID: mdl-30064291

ABSTRACT

Objective: This study aimed to analyze the influence of environmental factors on the ICF activity-participation outcome, controlling for body function and personal factor dimensions of 75 diabetes patients. Method: Outcome measures included questionnaires on musculoskeletal pain (Nordic Questionnaire), physical and environment domains of World Health Organization Quality of Life version BRIEF (WHOQOL-brief) and clinical and personal data. Multiple linear regression with hierarchical entry of variables was used. Results: An assessment of WHOQOL-brief revealed a score of 66.6 (SD = 17.3) to physical domain and 58.8 (DP = 12.1) to environment domain. The factors associated with physical domain were lower limb pain, number of comorbidities, and environment barriers. The highest environmental barriers were financial constraints, availability of health services, deficiency of self-management, and inadequate family and social support. The final model explained 44.0% (F[12.02], p < 0.001) of variability of the physical domain. Conclusions: We confirmed the functional consequences of diabetes mellitus to be complex and multifactorial. An approach that considers the interaction between individual and environmental attributes is necessary due to the disabling nature of this health condition.


Subject(s)
Diabetes Mellitus/physiopathology , Disability Evaluation , Disabled Persons/classification , Adolescent , Adult , Aged , Comorbidity , Environment , Female , Health Services Accessibility , Humans , International Classification of Functioning, Disability and Health , Male , Middle Aged , Quality of Life , Self-Management , Social Support , Surveys and Questionnaires , Young Adult
3.
Front Physiol ; 9: 1451, 2018.
Article in English | MEDLINE | ID: mdl-30429793

ABSTRACT

Background: The excess body fat characteristic of obesity is related to various metabolic alterations, which includes insulin resistance (IR). Among the non-pharmacological measures used to improve insulin sensitivity are aerobic physical training, such as high-intensity interval training (HIIT). This study investigated the effects of 8 weeks of HIIT on blood and skeletal muscle markers related to IR and oxidative metabolism in physically inactive individuals with obesity and compared the changes between insulin resistant and non-insulin resistant phenotypes. Methods: Initially to investigate the effect of obesity and IR in the analyzed parameters, insulin-sensitive eutrophic volunteers (CON; n = 9) and obese non-insulin (OB; n = 9) and insulin-resistant (OBR; n = 8) were enrolled. Volunteers with obesity completed 8 weeks of HIIT in a cycle ergometer. Venous blood and vastus lateralis muscle samples were obtained before and after the HIIT. Body composition and peak oxygen consumption (VO2peak) were estimated before and after HIIT. Results: HIIT reduced IR assessed by the homeostatic model assessment of insulin resistance (HOMA-IR) in OBR (4.4 ± 1.4 versus 4.1 ± 2.2 µU L-2), but not in OB (HOMA-IR 1.8 ± 0.5 versus 2.3 ± 1.0 µU L-2) volunteers. HIIT increased VO2peak with no change in body fat in both groups. In skeletal muscle, HIIT increased the phosphorylation of IRS (Tyr612), Akt (Ser473), and increased protein content of ß-HAD and COX-IV in both groups. There was a reduction in ERK1/2 phosphorylation in OBR after HIIT. Conclusion: Eight weeks of HIIT increased the content of proteins related to oxidative metabolism in skeletal muscle of individuals with obesity, independent of changes total body fat.

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