Associations of Light, Moderate to Vigorous, and Total Physical Activity With the Prevalence of Metabolic Syndrome in 4,652 Community-Dwelling 70-Year-Olds: A Population-Based Cross-Sectional Study

2020 ◽  
pp. 1-9
Author(s):  
Marcel Ballin ◽  
Peter Nordström ◽  
Anna Nordström
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Metabolic Syndrome ◽  
Light Intensity ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Sectional Study ◽  
Odds Ratios ◽  
Cross Sectional ◽  
Steps Per Day

In this cross-sectional study, the authors investigated the associations of objectively measured physical activity (PA) with the prevalence of metabolic syndrome (MetS) in older adults. Accelerometer-derived light-intensity PA, moderate to vigorous PA, and steps per day were measured in (N = 4,652) 70-year-olds in Umeå, Sweden, during May 2012–November 2019. The MetS was assessed according to the American Heart Association/ National Heart, Lung and Blood Institute criteria. The prevalence of MetS was 49.3%. Compared with the reference, the odds ratios for MetS in increasing quartiles of light-intensity PA were 0.91 (0.77–1.09), 0.75 (0.62–0.89), and 0.66 (0.54–0.80). For moderate to vigorous PA, the corresponding odds ratios were 0.79 (0.66–0.94), 0.67 (0.56–0.80), and 0.56 (0.46–0.67). For steps per day, the odds ratios were 0.65 (0.55–0.78), 0.55 (0.46–0.65), and 0.45 (0.36–0.55). In summary, this study shows that greater amounts of PA, regardless of intensity, are associated with lower odds of MetS. With the limitation of being an observational study, these findings may have implications for the prevention of MetS in older adults.

Strength, Static Balance, Physical Activity, and Age Predict Maximal Gait Speed in Healthy Older Adults From a Rural Community: A Cross-Sectional Study

2015 ◽  
Vol 23 (4) ◽  
pp. 580-587 ◽  
Author(s):  
Silvia Aranda-García ◽  
Albert Busquets ◽  
Antoni Planas ◽  
Joan A. Prat-Subirana ◽  
Rosa M. Angulo-Barroso
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Rural Community ◽  
Gait Speed ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Knee Extensors ◽  
Sectional Study ◽  
Cross Sectional ◽  
Physical Abilities

Purpose:Gait speed is related to physical function in older adults. This cross-sectional study examined the best predictors of maximal gait speed (MGS) among physical abilities, and general factors in healthy, rural community-dwelling older adults.Methods:MGS, muscle strength, and postural sway were measured in 55 community-dwelling participants (age, 72.1 ± 6.8, range 61–87 years; 72.7% women). Two stepwise regressions were used to find MGS predictors in two models: physical abilities and global.Results:Strength of knee extensors with 60° of knee flexion (KStrength60°) and maximal distance in the anterior-posterior direction with eyes closed explained 50.2% of MGS variance (p < .05) in the physical abilities model. KStrength60°, age, and level of physical activity explained 63.9% of MGS variance (p < .05) in the global model.Conclusions:Regardless of the model, KStrength60° was the best predictor of MGS in rural female older adults. Future research should examine the generalization of these findings to rural male older adults.

scholarly journals A cross-sectional study to investigate motivation for physical activity in a sample of Iranian community-dwelling older adults

2020 ◽  
Vol 10 (2) ◽  
pp. 135-141
Author(s):  
Seyed Alireza Derakhshanrad ◽  
Emily Piven ◽  
Bahareh Zeynalzadeh Ghoochani
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Cross Sectional Study ◽  
Ordinal Regression ◽  
Community Dwelling ◽  
Sectional Study ◽  
Cross Sectional ◽  
Convenience Sample ◽  
Area Of Interest ◽  
Community Dwelling Older Adults

Background: On the basis of the Social-Ecological Model, there are assumed to be three sources of motivation – intrapersonal, interpersonal, and community motivation – that prompt older adults to participate in physical activity (PA). These three motivational sources can lead to PA behavior adherence. Little empirical research exists that investigates which motivational source is more influential in older adults’ adherence to PA, thus creating an area of interest for this research. Methods: A cross-sectional study was used to investigate the relationship between levels of PA and different sources of motivation. The convenience sample of 140 community-dwelling older adults, aged 60 and greater, living in Shiraz, Iran agreed to complete self-reported questionnaires,to measure motivation and PA. Five statistical tests were used: Independent-samples t test, one way ANOVA, Pearson correlation coefficient, chi-square, and ordinal regression. Results: Ordinal regression indicated that gender (P = 0.001, CI: 0.523-2.115) and intrapersonal motivation (P < 0.001, CI: 0.038-0.126) were useful predictors of variations in the levels of PA. Compared to males, females engaged in PA with less frequency (P = 0.006). Community motivation decreased with age (r = - 0.213, P < 0.05). There were no significant relationships between age, educational level, health status, and PA (P > 0.05). Conclusion: Interpersonal and community motivation were insignificant factors for PA participation, perhaps due to non-facilitating environment. Future research should be conducted to investigate the environmental issues that hinder PA participation in older adults.

scholarly journals Associations between Socioeconomic Status, Social Participation, and Physical Activity in Older People during the COVID-19 Pandemic: A Cross-Sectional Study in a Northern Japanese City

2021 ◽  
Vol 18 (4) ◽  
pp. 1477
Author(s):  
Sachiko Sasaki ◽  
Akinori Sato ◽  
Yoshie Tanabe ◽  
Shinji Matsuoka ◽  
Atsuhiro Adachi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Social Participation ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Sectional Study ◽  
Cross Sectional ◽  
Physically Active

Physical activity (PA) is a key determinant of health in older adults. However, little is known about the effect of social factors on PA among older adults during the coronavirus disease 2019 (COVID-19) pandemic. Therefore, we aimed to clarify the association between socioeconomic status, social participation, and PA during the pandemic. A cross-sectional study was conducted on 999 community-dwelling residents aged 65–90 years. A self-administered questionnaire was used to collect socioeconomic status, social participation, and PA data in August 2020. Multivariable logistic regression analyses were used to calculate the odds ratios (ORs) for the associations between socioeconomic status, social participation, and maintaining PA. For both sexes, PA was reduced by approximately 5–10% after the onset of COVID-19-related distancing restrictions. Men with a low socioeconomic status were less physically active (OR = 0.49, 95% CI: 0.30–0.82). Women who reported social participation had higher odds of maintaining PA (OR = 1.67, 95% CI: 1.13–2.45) during the restrictions. Higher socioeconomic status and social participation levels before the COVID-19 pandemic may have helped older adults to maintain PA during the COVID-19 pandemic. Further research is needed to clarify the potential effects of these factors on the health of older adults.

scholarly journals Community participation of community dwelling older adults: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Claire Gough ◽  
Lucy K. Lewis ◽  
Christopher Barr ◽  
Anthony Maeder ◽  
Stacey George
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Social Interactions ◽  
Community Participation ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Self Report ◽  
Sectional Study ◽  
Cross Sectional ◽  
Community Dwelling Older Adults

Abstract Background With the advancing age of the population, and increasing demands on healthcare services, community participation has become an important consideration for healthy ageing. Low levels of community participation have been linked to increased mortality and social isolation. The extent to which community participation has been measured objectively in older adults remains scarce. This study aims to describe where and how older adults participate in the community and determine the feasibility of measurement methods for community participation. Methods This observational cross-sectional study obtained data from 46 community dwelling older adults. A combination of Global Positioning Systems (GPS), accelerometry, and self-reported diaries were used over a 7-day monitoring period. Feasibility of methods were determined by calculating the loss of GPS data, questionnaires, and comparison of self-reported locations with GPS co-ordinates. Relationships between community participation, physical activity, social interactions, health related quality of life, sleep quality and loneliness were explored. Results Older adults took a median (IQR) of 15 (9.25–18.75) trips out of home over the 7-day monitoring period, most frequently visiting commercial and recreational locations. In-home activities were mainly sedentary in nature, with out of home activities dependent on location type. Self-reported and GPS measures of trips out of home and the locations visited were significantly correlated (self-report 15.7 (5.6) GPS 14.4 (5.8) (r = 0.94)). Significant correlations between both the number of trips taken from home, with social interactions (r = 0.62) and the minutes of moderate to vigorous physical activity (MVPA) (r = 0.43) were observed. Daily MVPA was higher in participants who visited local walk/greenspaces (r = 0.48). Conclusion Participants performed more activities with social interactions out of home and visited commercial locations most frequently. The combination of GPS, accelerometry and self-report methods provided a detailed picture of community participation for older adults. Further research is required with older adults of varying health status to generalise the relationships between community participation, location and physical activity. Trial registration Ethical approval was gained from the Flinders University Social and Behavioural Research Ethics Committee (protocol no. 8176).

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