Gender and Income Associations in Physical Activity and Blood Pressure Among Older Adults

2011 ◽  
Vol 8 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Young-Shin Lee ◽  
Susan S. Levy
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Older Adults ◽  
Low Income ◽  
Leisure Time ◽  
Income Group ◽  
High Income Group ◽  
Convenience Sample ◽  
Low Incomes ◽  
Older Men And Women

Objectives:To examine physical activity (PA) in multiple contexts (household, walking, and leisure-time PA) and blood pressure (BP) across gender and income among older adults living independently.Methods:A convenience sample of 372 older adults completed 2 BP measurements and PA questionnaires.Results:Older adults with high incomes (≥$30,000) engaged in less household activity, more leisure time PA and better controlled their BP than those with low incomes (<$30,000). Men walked more than women. Older women in the low-income group had less controlled BP than those women in the high-income group. Participants with normal or controlled BP were engaged in more household and walking activities than those with uncontrolled BP.Conclusion:Findings suggest that older men and women at high or low-income levels have different mode of PA and BP management that should be considered for intervention strategies.

scholarly journals Individual Characteristics Associated with Active Travel in Low and High Income Groups in the UK

2021 ◽  
Vol 18 (19) ◽  
pp. 10360
Author(s):  
Emma Lawlor ◽  
Ruth Hunter ◽  
Deepti Adlakha ◽  
Frank Kee ◽  
Mark Tully
Keyword(s):  
Physical Activity ◽  
Marital Status ◽  
Low Income ◽  
Income Group ◽  
Active Travel ◽  
Individual Characteristics ◽  
High Income ◽  
Housing Tenure ◽  
High Income Group ◽  
Income Groups

Active travel (AT) has gained increasing attention as a way of addressing low levels of physical activity. However, little is known regarding the relationship between income and AT. The aim of this study was to investigate characteristics associated with undertaking AT in an adult population and by low- and high-income groups. Data collected from the Physical Activity and the Rejuvenation of Connswater (PARC) study in 2017 were used. Participants were categorised into socio-economic groups according to their weekly household income, and were categorised as participating in ‘no’ AT or ‘some’ AT and ‘sufficient’ AT. Multivariable logistic regression explored characteristics associated with AT in the full cohort, and the low- and high-income groups separately. Variables associated with AT in the low-income group were body mass index (BMI), physical activity self-efficacy, marital status, long term illness, difficulty walking and housing tenure. For the high-income group, BMI, marital status, housing tenure and education were associated with AT. For both income groups, there were consistent positive associations with the action/maintenance phase of the stage of change model across all AT categories. The findings suggest that population sub-groups may benefit from targeted initiatives to support engagement in AT and prevent further widening of inequalities.

Physical Activity Clusters and Income Inequality in Brazilian Adults

2020 ◽  
Vol 17 (9) ◽  
pp. 859-866
Author(s):  
Sofia Wolker Manta ◽  
Kelly Samara da Silva ◽  
Giovani Firpo Del Duca ◽  
Luís Eduardo A. Malheiros ◽  
Margarethe Thaisi Garro Knebel ◽  
...  
Keyword(s):  
Physical Activity ◽  
Marital Status ◽  
Low Income ◽  
Leisure Activities ◽  
Income Group ◽  
High Income ◽  
Sociodemographic Characteristics ◽  
High Income Group ◽  
Income Inequalities ◽  
Household Activities

Background: Income is an important determinant of physical activity (PA) when analyzed in its different domains. Sociodemographic characteristics such as sex, age, education, and marital status reveal distinct population profiles when PA domains are analyzed in isolation. This study aimed to describe clusters of PA in domains within income inequalities and to investigate the associated sociodemographic characteristics of Brazilian adults. Methods: A secondary analysis of the National Health Survey was performed (N = 50,176). PA, sociodemographic characteristics, and family income were investigated. Low- (n = 9504) and high-income adults (n = 6330) were analyzed. Two-step cluster and Rao–Scott chi-square tests were employed. Results: High-income adults accumulated 1.06 times more PA in leisure time compared with low-income adults. Of the 3 clusters observed, the inactive cluster was more prevalent (low-income group: 65.9%; 95% confidence interval [CI], 64.1–67.5; high-income group: 84.5%; 95% CI, 82.9–86.0). Work/leisure activities (21.2%; 95% CI, 19.8–22.8) and commuting/household activities (12.9%; 95% CI, 11.8–14.1) characterized low-income adults. Work/household activities (10.9%; 95% CI, 9.6–12.3) and commuting/leisure activities (4.6%, 95% CI, 3.9–5.4) characterized high-income adults. Sex (P < .001), age (P < .001), and marital status (P = .0023) were associated with low-income clusters. Conclusion: PA clustering differs within income inequalities. PA in leisure differentiates the opportunities in low- and high-income groups, but it is representative of a very small portion of the wealth.

scholarly journals The Impact of Urban Recreation Environment on Residents’ Happiness—Based on a Case Study in China

2021 ◽  
Vol 13 (10) ◽  
pp. 5549
Author(s):  
Lei Kang ◽  
Zhaoping Yang ◽  
Fang Han
Keyword(s):  
Low Income ◽  
Subjective Evaluation ◽  
Objective Evaluation ◽  
Income Group ◽  
High Income Group ◽  
Rapid Urbanization ◽  
Indirect Impact ◽  
Negative Effect ◽  
The Impact ◽  
Urban Recreation

Rapid urbanization promotes the expansion of urban tourism and recreation functions, but it also brings many problems, which affect residents’ happiness. Previous studies have emphasized the direct impact of urban recreation environment on happiness, and few have explored the indirect impact of urban recreation environment on happiness through subjective evaluation. Based on the survey data of nearly 10,000 permanent residents in 40 key tourism cities in China, this paper establishes a theoretical framework of the direct and indirect impact of urban recreation environment on happiness. The objective evaluation of natural recreation environment and sociocultural recreation environment has an important influence on happiness, but the influence of natural recreation environment is greater than that of sociocultural recreation environment. Individual subjective satisfaction with urban recreation environment mediates the relationship between urban objective environment and happiness. Urban parks have a positive effect on happiness, while tourist attractions have a negative effect. The influence of urban location on happiness is nonlinear. The high-income group is more sensitive to the recreation environment, while the low-income group is less sensitive to the recreation environment. These findings provide insights for further improving citizens’ quality of life and designing urban construction in developing countries under the conditions of rapid urbanization.

scholarly journals Visual Acuity’s Association With Levels of Leisure-Time Physical Activity in Community-Dwelling Older Adults

2012 ◽  
Vol 20 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Mark W. Swanson ◽  
Eric Bodner ◽  
Patricia Sawyer ◽  
Richard M. Allman
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Visual Acuity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
University Of Alabama ◽  
Cross Sectional ◽  
The University

Little is known about the effect of reduced vision on physical activity in older adults. This study evaluates the association of visual acuity level, self-reported vision, and ocular disease conditions with leisure-time physical activity and calculated caloric expenditure. A cross-sectional study of 911 subjects 65 yr and older from the University of Alabama at Birmingham Study of Aging (SOA) cohort was conducted evaluating the association of vision-related variables to weekly kilocalorie expenditure calculated from the 17-item Leisure Time Physical Activity Questionnaire. Ordinal logistic regression was used to evaluate possible associations while controlling for potential confounders. In multivariate analyses, each lower step in visual acuity below 20/50 was significantly associated with reduced odds of having a higher level of physical activity, OR 0.81, 95% CI 0.67, 0.97. Reduced visual acuity appears to be independently associated with lower levels of physical activity among community-dwelling adults.

scholarly journals Physical activity, sedentary time and their associations with clustered metabolic risk among people with type 2 diabetes in Jiangsu province: a cross-sectional study

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e027906
Author(s):  
Yijia Chen ◽  
Jie Yang ◽  
Jian Su ◽  
Yu Qin ◽  
Chong Shen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Type 2 Diabetes ◽  
Systolic Blood Pressure ◽  
Leisure Time ◽  
Sedentary Time ◽  
Leisure Time Physical Activity ◽  
Jiangsu Province ◽  
Metabolic Risk

ObjectiveInvestigating the association between total physical activity, physical activity in different domains and sedentary time with clustered metabolic risk in patients with type 2 diabetes from Jiangsu province, China.DesignInterview-based cross-sectional study conducted between December 2013 and January 2014.Setting44 selected townships across two cities, Changshu and Huai’an, in Jiangsu province.Participants20 340 participants selected using stratified cluster-randomised sampling and an interviewer-managed questionnaire.MethodsWe constructed clustered metabolic risk by summing sex-specific standardised values of waist circumference, fasting triacylglycerol, fasting plasma glucose, systolic blood pressure and the inverse of blood high-density lipoprotein cholesterol (HDL-cholesterol). Self-reported total physical activity included occupation, commuting and leisure-time physical activity. The un-standardised regression coefficient [B] and its 95% CI were calculated using multivariate linear regression analyses.ResultsThis study included 17 750 type 2 diabetes patients (aged 21–94 years, 60.3% female). The total (B=−0.080; 95% CI: −0.114 to −0.046), occupational (B=−0.066; 95% CI: −0.101 to− 0.031) and leisure-time physical activity (B=−0.041; 95% CI: −0.075 to −0.007), and sedentary time (B=0.117; 95% CI: 0.083 to 0.151) were associated with clustered metabolic risk. Total physical activity, occupational physical activity and sedentary time were associated with waist circumference, triacylglycerol and HDL-cholesterol, but not with systolic blood pressure. Commuting physical activity and sedentary time were significantly associated with triacylglycerol (B=−0.012; 95% CI: −0.019 to −0.005) and fasting plasma glucose (B=0.008; 95% CI: 0.003 to 0.01), respectively. Leisure-time physical activity was only significantly associated with systolic blood pressure (B=−0.239; 95% CI: −0.542 to− 0.045).ConclusionsTotal, occupational and leisure-time physical activity were inversely associated with clustered metabolic risk, whereas sedentary time increased metabolic risk. Commuting physical activity was inversely associated with triacylglycerol. These findings suggest that increased physical activity in different domains and decreased sedentary time may have protective effects against metabolic risk in type 2 diabetes patients.

scholarly journals SOCIODEMOGRAPHIC FACTORS AFFECTING PATIENT COMPLIANCE TO LONG-TERM THERAPIES

2021 ◽  
pp. 59-62
Author(s):  
SHAKEEL AHMAD MIR
Keyword(s):  
Patient Compliance ◽  
Low Income ◽  
Income Group ◽  
Sociodemographic Factors ◽  
High Income Group ◽  
Factors Affecting ◽  
Validated Questionnaire ◽  
Adherence Scale ◽  
Study Population

Objective: The aim is to study the effect of various sociodemographic factors on patient compliance in long-term therapies. Methods: This is a questionnaire-based study of 195 adult outdoor patients suffering from chronic illnesses and receiving long-term drug therapy. Various sociodemographic factors were noted in a validated questionnaire. Questions about drugs being taken were asked. The compliance was measured by General Medication Adherence Scale. Results: The study population consists of 51.3% of males and 48.7% of females. About 39.0% of participants were literate and 61.0% were illiterate. About 72.3% belonged to the rural area, 13.3% urban, and 14.4% to the main city. About 33.3% were self-employed or unemployed, 17.4% government employees, and 49.3% were private employees. About 20.0% belonged to high-income group, and 40.0% to middle- and 40.0% to low-income group. Statistically significant correlation was found between compliance and age, gender, area of residence, education, and marital status (p<0.05). Better compliance was observed in men, unmarried,middle-aged, literate, and urban populations. Conclusions: We conclude that some sociodemographic factors correlate with compliance to long-term therapies.

scholarly journals Leisure-time physical activity among older adults in Brazil: results from the Brazilian National Health Survey – 2013

2021 ◽  
Author(s):  
Vítor Häfele ◽  
César Augusto Häfele ◽  
Jeferson Santos Jerônimo ◽  
Rodrigo Wiltgen Ferreira ◽  
Steve Anthony Maravillo ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
National Health ◽  
Health Survey ◽  
Leisure Time ◽  
Healthy Aging ◽  
Leisure Time Physical Activity ◽  
National Health Survey ◽  
Physical Activity Recommendations ◽  
Activity Recommendations

Introduction: Health behaviors are fundamental for healthy aging. In this sense, the practice of physical activity is one of the most beneficial factors for the health of individuals. Objective: To describe the prevalence of leisure-time physical activity among the older adults and analyze in terms of sociodemographic characteristics, national regions, Federative Units of Brazil, and types of physical activity practiced. Methods: Study utilizing data from the Brazilian National Health Survey - 2013. Leisure-time physical activity was analyzed with two distinct cutoff points: 1) Some physical activity - 10 or more minutes/week; 2) Meeting recommended 150 minutes/week of physical activity. Results: Nearly 21% of the older adults completed some physical activity, and 13.2% reached the physical activity recommendations. There was no difference in the prevalence of physical activity between men and women. Individuals aged 60-69 years and those with higher income were more active than their peers. As for the national regions, the North had the lowest prevalence of physically active older adults. Among all regions, walking was the most frequent form of physical activity practiced. Conclusion: The prevalence of older adults who practiced some physical activity and reached the physical activity recommendations was low, with walking being the most common form of physical activity. Older adults with higher age, low socioeconomic status and from the Northern Brazilian regions were the least active.

scholarly journals Social Networks and Physical Activity in Senior Housing: A Pilot Feasibility Study

2019 ◽  
Vol 29 (Suppl 1) ◽  
pp. 201-208
Author(s):  
Noah J. Webster ◽  
Toni C. Antonucci ◽  
Neil B. Alexander
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Social Network ◽  
Social Relations ◽  
Low Income ◽  
Strategic Partnership ◽  
Multiple Chronic Conditions ◽  
Activity Levels ◽  
Senior Housing ◽  
Physical Activity Interventions

Objective: Only 16% of people aged >65 years engage in recommended levels of physical activity, putting a vast major­ity at risk for multiple chronic conditions including heart disease. Physical activity is even lower among older adults with fewer economic resources. Research is needed to develop context-specific approaches to pair with physical activity interventions to increase effectiveness. In this pilot study, we examine social ties and physical activity levels of older adults living in a US Depart­ment of Housing and Urban Development subsidized senior housing community to test feasibility of a social network-based approach to physical activity interventions. This study is grounded in Social Contagion Theory and the Convoy Model of Social Relations, which argue health and health-related behaviors are facilitated through network ties.Methods: Data were collected through face-to-face interviews conducted over the course of three months (September- November 2018) with 46 residents living in a low-income senior housing community in southeast Michigan. Residents were asked about physical activity, people they know in the community, and their close social network composition.Results: Residents reported knowing, on average, six other residents and approxi­mately 28% of those in their close networks were also residents. Sociocentric network analysis identified two socially engaged (known by seven or more other residents) physically active residents, whereas ego-centric analysis identified four (60% or more of their network comprised residents).Conclusions: This study demonstrates potential feasibility of a strategic partnership that involves pairing social resources with physical activity interventions in afford­able senior housing. Multiple approaches, which need to be evaluated, exist to identify socially engaged residents.Ethn Dis. 2019;29(Suppl 1): 201-208; doi:10.18865/ ed.29.S1.201.

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