Physical Activity of Urban Community-Dwelling Older Latino Adults

2011 ◽  
Vol 8 (s2) ◽  
pp. S161-S170 ◽  
Author(s):  
David X. Marquez ◽  
Ruby Hoyem ◽  
Louis Fogg ◽  
Eduardo E. Bustamante ◽  
Beth Staffileno ◽  
...  

Background:To date, little is known about the physical activity (PA) levels and commonly reported modes of PA of older Latinos, and this information is critical to developing interventions for this population. The purpose of the current study was to examine PA assessed by self-report and accelerometer and to assess the influence of acculturation, gender, and age on the PA of urban community-dwelling older Latino adults.Methods:Participants were self-identified Latinos, primarily women (73%), and individuals aged 50 to 59 (31%), 60 to 69 (30%), and 70+ (39%). PA was measured with an accelerometer and the Community Healthy Activity Model Program for Seniors (CHAMPS) PA questionnaire.Results:Men reported engaging in, and objectively participated in, significantly more minutes of moderate/vigorous PA than women, but women reported greater light intensity household PA. Latinos aged 50 to 59 engaged in significantly more accelerometer-assessed PA than Latinos aged 60 to 69 and 70+, respectively. The majority of participants did not meet the PA Guidelines for Americans. No differences in PA were demonstrated by acculturation level. Older Latino men and women reported walking and dancing as modes of leisure PA.Conclusions:These findings suggest PA interventions should be targeted toward older Latinos, taking into account gender and age.

Biology ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 111
Author(s):  
Jort Veen ◽  
Diego Montiel-Rojas ◽  
Fawzi Kadi ◽  
Andreas Nilsson

The role of daily time spent sedentary and in different intensities of physical activity (PA) for the maintenance of muscle health currently remains unclear. Therefore, we investigated the impact of reallocating time spent in different PA intensities on sarcopenia risk in older adults, while considering PA type (muscle strengthening activities, MSA) and protein intake. In a sample of 235 community-dwelling older adults (65–70 years), a sarcopenia risk score (SRS) was created based on muscle mass assessed by bioimpedance, together with handgrip strength and performance on the five times sit-to-stand (5-STS) test assessed by standardized procedures. Time spent in light-intensity PA (LPA), moderate-to-vigorous PA (MVPA), and being sedentary was assessed by accelerometry, and PA type (MSA) by self-report. Linear regression models based on isotemporal substitution were employed. Reallocating sedentary time to at least LPA was significantly (p < 0.05) related to a lower SRS, which remained evident after adjustment by PA type (MSA) and protein intake. Similarly, reallocating time in LPA by MVPA was related to a significantly (p < 0.05) lower SRS. Our results emphasize the importance of displacing sedentary behaviours for more active pursuits, where PA of even light intensities may alleviate age-related deteriorations of muscle health in older adults.


2017 ◽  
Vol 30 (9) ◽  
pp. 1462-1481 ◽  
Author(s):  
Anna G. M. Rojer ◽  
Esmee M. Reijnierse ◽  
Marijke C. Trappenburg ◽  
Rob C. van Lummel ◽  
Martijn Niessen ◽  
...  

Objectives: Self-reported physical activity has shown to affect muscle-related parameters. As self-report is likely biased, this study aimed to assess the association between instrumented assessment of physical activity (I-PA) and muscle-related parameters in a general population. Method: Included were 156 young-to-middle-aged and 80 older community-dwelling adults. Seven days of trunk accelerometry (DynaPort MoveMonitor, McRoberts B.V.) quantified daily physical activity (i.e., active/inactive duration, number and mean duration of active/inactive periods, and number of steps per day). Muscle-related parameters included muscle mass, handgrip strength, and gait speed. Results: I-PA was associated with handgrip strength in young-to-middle-aged adults and with gait speed in older adults. I-PA was not associated with muscle mass in either age group. Discussion: The association between I-PA and muscle-related parameters was age dependent. The lack of an association between I-PA and muscle mass indicates the relevance of muscle function rather than muscle mass.


2015 ◽  
Vol 12 (7) ◽  
pp. 968-975 ◽  
Author(s):  
John Cooper ◽  
Barbara Stetson ◽  
Jason Bonner ◽  
Sean Spille ◽  
Sathya Krishnasamy ◽  
...  

Background:This study assessed physical activity (PA) in community dwelling adults with Type 2 diabetes, using multiple instruments reflecting internationally normed PA and diabetes-specific self-care behaviors.Methods:Two hundred and fifty-three Black (44.8%) and White (55.2%) Americans [mean age = 57.93; 39.5% male] recruited at low-income clinic and community health settings. Participants completed validated PA self-report measures developed for international comparisons (International Physical Activity Questionnaire Short Form), characterization of diabetes self-care (Summary of Diabetes Self-Care Activities Measure; SDSCA) and exercise-related domains including provider recommendations and PA behaviors and barriers (Personal Diabetes Questionnaire; PDQ).Results:Self-reported PA and PA correlates differed by instrument. BMI was negatively correlated with PA level assessed by the PDQ in both genders, and assessed with SDSCA activity items in females. PA levels were low, comparable to previous research with community and diabetes samples. Pain was the most frequently reported barrier; females reported more frequent PA barriers overall.Conclusions:When using self-report PA measures for PA evaluation of adults with diabetes in clinical settings, it is critical to consider population and setting in selecting appropriate tools. PA barriers may be an important consideration when interpreting PA levels and developing interventions. Recommendations for incorporating these measures in clinical and research settings are discussed.


2021 ◽  
Author(s):  
Adrianna Ribeiro Lacerda ◽  
Maria do Carmo Eulálio ◽  
Edivan Gonçalves Silva Júnior ◽  
Ricardo Alexandre Arcêncio ◽  
Ricardo Alves Olinda ◽  
...  

Abstract BACKGROUND: Frailty is a clinical syndrome, and its development is multifactorial and dynamic. The clinical indicators (physical measures and self-report) that characterize the syndrome tend to vary across studies. To determine the contributions of the indicators in the determination of frailty it is important to obtain data about the variations that occur among the levels of frailty. The aim of this study was to a) survey the prevalence of the frailty syndrome and of the indicators that compose the frailty phenotype in community-dwelling older adults, and b) to evaluate the contribution of each indicator in the determination frailty.METHODS: Prevalence study carried out with 163 older adults who participated in two assessments; the first one was performed in 2009 and after 70 months the second assessment was conducted. Assessment of physical measurements was performed to constitute the frailty phenotype (gait speed and handgrip strength) alongside self-report (fatigue, unintentional weight loss, and physical activity), as proposed by Fried. We used the McNemar’s test and Pearson’s chi-square to analyze the differences between means and Multinomial Logistic Regression values.RESULTS: There was an increase in the number of pre-frail older adults (from 47.85% to 65.03%) and frail ones (from 7.98% to 9.82%). The frailty indicators increased significantly (+ 8.6% for walking; + 6.8% for fatigue; + 6.8% for grip strength; + 1.2% for physical activity), except for the “weight loss” item (-3%). The indicators with the highest predictors of frailty in 2009 were fatigue (OR = 31.41; 95%CI 11.66-84-65, p<0.001) and weight loss (OR = 28.74; 95%CI 9.20-89.84, p<0.001). In the second assessment, the items that had the highest chance for developing frailty were slow gait (OR = 23.64; 95%CI 5.38-103.83, p<0.001) and muscle weakness (OR = 79.39; 95%CI 8.58-734.24, p<0.001). CONCLUSION: There was an increase in frail and pre-frail older adults during the two assessments and an increase in the indicators that mark the syndrome phenotype. The explanatory models of frailty changed in both assessments. The evolution of frailty signals the necessity for interventions to be carried out with older adults to delay the progress of declining faculties that threaten their health.


Author(s):  
Mariana Wingood ◽  
Levi Bonnell ◽  
Andrea Z. LaCroix ◽  
Dori Rosenberg ◽  
Rod Walker ◽  
...  

Though it is known that most older adults do not meet the recommended physical activity (PA) guidelines, little is known regarding their participation in balance activities or the full guidelines. Therefore, we sought to describe PA patterns among 1,352 community-dwelling older adult participants of the Adult Changes in Thought study, a longitudinal cohort study exploring dementia-related risk factors. We used a modified version of the Community Healthy Activities Model Program for Seniors questionnaire to explore PA performed and classify participants as meeting or not meeting the full guidelines or any component of the guidelines. Logistic regression was used to identify factors associated with meeting PA guidelines. Despite performing 10 hr of weekly PA, only 11% of participants met the full guidelines. Older age, greater body mass index, needing assistance with instrumental daily activities, and heart disease were associated with decreased odds of meeting PA guidelines. These results can guide interventions that address PA among older adults.


Author(s):  
Nancy W. Glynn ◽  
Alexa J. Meinhardt ◽  
Kelsea R. LaSorda ◽  
Jessica L. Graves ◽  
Theresa Gmelin ◽  
...  

The authors compared two self-report measures of physical activity, the Physical Activity Scale for the Elderly (PASE) and the Community Healthy Activities Model Program for Seniors (CHAMPS), against the device-derived SenseWear Armband (SWA), to identify a recommended self-report tool to measure physical activity in older adults across physical function levels. A total of 65 community-dwelling older adults completed the PASE, CHAMPS, and seven full days of SWA wear. The authors measured physical function using the modified short physical performance battery (SPPB) and a usual-paced 6-m walk. Age- and sex-adjusted Spearman correlations showed that CHAMPS and SWA were correlated in higher functioning participants (SPPB: ρ = .33, p = .03; gait speed: ρ = .40, p = .006) and also correlated in lower functioning participants for SPPB (ρ = .70, p = .003) only. PASE and SWA were not significantly correlated across physical function. When an objective measure of physical activity is not practical, the CHAMPS questionnaire appears to capture physical activity for older adults across physical function levels.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 496-496
Author(s):  
Sophie Andrews ◽  
Dinaz Parekh ◽  
Brooke Brady ◽  
Kim Delbaere ◽  
Simon Killcross ◽  
...  

Abstract Sufficient physical activity is crucial to maintaining independence, health and wellbeing during ageing, yet physical inactivity is common in older people. Identifying factors associated with physical activity engagement is essential to develop novel approaches to increase activity in older people. Automatic, context-dependent habits may play an important role in physical activity behaviour. The current study aimed to investigate the relationship between physical activity behaviours and their automaticity in older people. 123 community dwelling Australians aged over 65 – 88 years (M=72.2; 81 women), recruited from participant registries, hospital noticeboards and community groups, completed an online questionnaire. Current physical activity levels were measured using the Incidental and Planned Exercise Questionnaire, and automaticity of those physical activity behaviours were measured using the Self-Report Habit Automaticity Index. Participants also reported demographic information, body mass index (BMI), medical history and current mood symptoms. Participants reported an average of 2.28 hours planned walking (SD=2.33), 5.81 hours planned moderate/vigorous exercise (SD=4.02), and 20.5 hours incidental activity (SD=15.52) per week. Multiple regression analyses revealed that after controlling for age, gender, BMI and depression symptoms, higher automaticity scores were associated with more hours per week of planned walking (p=.012), moderate/vigorous exercise (p=.038), and incidental activity (p=.017). Supporting older people to make their physical activity more habitual could therefore be an effective approach to increase levels of physical activity in this population.


2013 ◽  
Vol 10 (7) ◽  
pp. 1008-1015
Author(s):  
Jakob L. Vingren ◽  
James R. Morrow ◽  
Elaine Trudelle-Jackson ◽  
Merly T. Mathew

Background:Aerobic and muscle-strengthening activities are related to morbidities and mortality. Resistance exercise/strength training items are included in national surveys, but the manner in which muscle-strengthening activity is queried varies among these surveys.Purpose:The purpose of this study was to use different self-report measures to examine the prevalence of meeting the 2008 Physical Activity Guidelines for Americans regarding muscle-strengthening activities among women.Methods:We surveyed 606 community-dwelling women at 4 points in time across a 1.5- to 3-year time period to determine whether the respondents met the national physical activity guidelines for performing muscle-strengthening activities ≥ 2 days per week.Results:Results were consistent across time but depended on the manner in which the question was asked. If asked to reflect over the past month or a general question about the typical number of days engaged, approximately 40% of women reported engaging in ≥ 2 days per week of resistance exercise/strength training. However, when reports were obtained weekly for 13 weeks, only approximately 18% of respondents met the guidelines.Conclusion:Results indicate that the timing and nature of questioning can substantially influence the self-reported prevalence of muscle-strengthening physical activities for community-dwelling women.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Claire Gough ◽  
Lucy K. Lewis ◽  
Christopher Barr ◽  
Anthony Maeder ◽  
Stacey George

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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