Sitting Time and Quality of Life in Older Adults: A Population-Based Study

Meneguci, Joilson; Sasaki, Jeffer Eidi; Santos, Álvaro da Silva; Scatena, Lúcia Marina; Damião, Renata

doi:10.1123/jpah.2014-0233

Cited by 32 publications

(43 citation statements)

References 6 publications

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“…Presumably, behavioral aspects during screen time (such as eating and drinking) could be the factors that cause TV‐viewing sitting more harmful to health than other types of sitting. Negative associations between sedentary behavior and HRQoL have been previously reported in older adults, although there is also recent evidence of a positive association of domain‐specific sedentary time (reading time) with mental‐based HRQoL in middle‐aged adults . Nevertheless, in our study, the Lowest tertile averaged the most daily time sitting.…”

Section: Discussioncontrasting

confidence: 65%

“…Presumably, behavioral aspects during screen time (such as eating and drinking) could be the factors that cause TV-viewing sitting more harmful to health than other types of sitting. Negative associations between sedentary behavior and HRQoL have been previously reported in older adults, 30,31 Nevertheless, in our study, the Lowest tertile averaged the most daily time sitting. This indicates that due to the lack of PA, this relationship could be the most harmful to health compared to all the other tertiles.…”

Section: Discussioncontrasting

confidence: 61%

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Relations between subdomains of physical activity, sedentary lifestyle, and quality of life in young adult men

Päivärinne

Kautiainen

Heinonen

et al. 2018

Scandinavian Med Sci Sports

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To assess the relationship between physical activity (PA) in work, transport, domestic, and leisure-time domains (with sitting time included) and health-related quality of life (HRQoL) among young adult men. The long version of IPAQ and SF-36 Health Survey were used to assess PA and HRQoL, respectively, in 1425 voluntary 20- to 40-year-old Finnish male participants. Participants were divided into tertiles (MET-h/week): Lowest tertile (<38 MET-h/week), Middle tertile (38-100 MET-h/week), and Highest tertile (>100 MET-h/week). The IPAQ domain leisure-time PA predicted positively the Physical Component Summary (PCS) (β = 0.11, 95% CI: 0.06 to 0.16) and Mental Component Summary (MCS) (β = 0.11, 95% CI: 0.05 to 0.16) dimensions. Occupational PA predicted negative relationships in the PCS (β = -0.13, 95% CI: -0.19 to -0.07), and sitting time predicted negative relationships in the MCS dimension (β = -0.13, 95% CI: -0.18 to -0.07). In addition, a linear relationship was found between total PA level (including sitting time) and all of the IPAQ domains (<0.001). The Middle tertile had the highest leisure-time PA (38% of total PA), whereas the highest sitting time (28%) and lowest occupational PA (8%) were found in the Lowest tertile. The Highest tertile had the highest occupational PA (61%), while the leisure-time PA was the lowest (16%). Different PA domains appear to have positive and negative relationships to mental and physical aspects of HRQoL. Relatively high leisure-time PA indicated a better HRQoL regardless of the amount of total PA, while occupational PA and higher daily sitting time related negatively to HRQoL.

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Section: Discussioncontrasting

confidence: 65%

Section: Discussioncontrasting

confidence: 61%

Relations between subdomains of physical activity, sedentary lifestyle, and quality of life in young adult men

Päivärinne

Kautiainen

Heinonen

et al. 2018

Scandinavian Med Sci Sports

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“…The present study findings support the results of previous studies that prolonged sedentary time is significantly associated with quality of life in adults with visual impairments or general adults or in middle-aged and older adults with osteoarthritis [3,5,14]. In contrast with previous studies indicating that men have lower quality of life than women, the present study show that the quality of life was lower in women than men when sitting for 7.5 or more h/d in older adults or among older men [9,10]. These results suggest that a comparative study is needed by selecting different subjects.…”

Section: Discussionsupporting

confidence: 89%

“…Taken together, sedentary time could be an important factor for successful aging and quality of life in middle-aged and older adults. Unfortunately, aside from the negative influences on the successful aging [7], the relationship between sedentary time and quality of life in middle-aged and older adults remains minimally explored [9,10]. In this context, the association of sedentary time with quality of life in middle-aged and older adults should be investigated.…”

Section: Introductionmentioning

confidence: 99%

Associations between sedentary time and EQ-5D index score in middle-aged and older adults

Kim¹

2018

biomedicalresearch

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Purpose: This study was conducted to identify the associations between sedentary time and EuroQol-5-dimensional (EQ-5D) index score in middle-aged and older adults. Materials and methods: Data were extracted from the 6th Korea National Health and Nutrition Examination Survey (2014-2015). Subjects aged ≥ 45 y were selected for analysis (n=3,543). Selfreported sedentary time and EQ-5D index score were the outcome variables. The sedentary time was dichotomized into ≥ 7.5 h/d and <7.5 h/d. To ensure that the sample represents the Korean population, sampling weights were generated by considering a complex sample. Associations with sedentary time and EQ-5D index score were analysed using multiple logistic regression. Results: Sitting for ≥ 7.5 h/d was significantly associated with 85% (odds ratio, 0.15; 95% confidence interval, 0.08-0.30) lower odds of EQ-5D index score when adjusted for sex and age compared to those who were sitting for <7.5 h/d. Conclusion: These findings imply that in order to improve health-related quality of life in middle-aged and older adults, sedentary time should be reduced.

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“…There is evidence that low daily physical activity (DPA) is associated with poor QoL in older adults [9, 10]. Furthermore, previous studies of frail persons have demonstrated that muscle strength, as represented by handgrip strength [3], plays an important role regarding QoL [6, 7, 11].…”

Section: Introductionmentioning

confidence: 99%

Associations between daily physical activity, handgrip strength, muscle mass, physical performance and quality of life in prefrail and frail community-dwelling older adults

et al. 2016

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PurposeThe aim of this study was to examine the associations between daily physical activity (DPA), handgrip strength, appendicular skeletal muscle mass (ASMM) and physical performance (balance, gait speed, chair stands) with quality of life in prefrail and frail community-dwelling older adults.MethodsPrefrail and frail individuals were included, as determined by SHARE-FI. Quality of life (QoL) was measured with WHOQOL-BREF and WHOQOL-OLD, DPA with PASE, handgrip strength with a dynamometer, ASMM with bioelectrical impedance analysis and physical performance with the SPPB test. Linear regression models adjusted for sex and age were developed: In model 1, the associations between each independent variable and QoL were assessed separately; in model 2, all the independent variables were included simultaneously.ResultsEighty-three participants with a mean age of 83 (SD: 8) years were analysed. Model 1: DPA (ß = 0.315), handgrip strength (ß = 0.292) and balance (ß = 0.178) were significantly associated with ‘overall QoL’. Balance was related to the QoL domains of ‘physical health’ (ß = 0.371), ‘psychological health’ (ß = 0.236), ‘environment’ (ß = 0.253), ‘autonomy’ (ß = 0.276) and ‘social participation’ (ß = 0.518). Gait speed (ß = 0.381) and chair stands (ß = 0.282) were associated with ‘social participation’ only. ASMM was not related to QoL. Model 2: independent variables explained ‘overall QoL’ (R 2 = 0.309), ‘physical health’ (R 2 = 0.200), ‘autonomy’ (R 2 = 0.247) and ‘social participation’ (R 2 = 0.356), among which balance was the strongest indicator.ConclusionASMM did not play a role in the QoL context of the prefrail and frail older adults, whereas balance and DPA were relevant. These parameters were particularly associated with ‘social participation’ and ‘autonomy’.

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Sitting Time and Quality of Life in Older Adults: A Population-Based Study

Abstract: In this study, older adults who sat the most presented the worst scores in the physical domain and social participation facet of quality of life.

Cited by 32 publications

References 6 publications

Relations between subdomains of physical activity, sedentary lifestyle, and quality of life in young adult men

Relations between subdomains of physical activity, sedentary lifestyle, and quality of life in young adult men

Associations between sedentary time and EQ-5D index score in middle-aged and older adults

Associations between daily physical activity, handgrip strength, muscle mass, physical performance and quality of life in prefrail and frail community-dwelling older adults

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