scholarly journals The impact of urban environment and physical activity on middle-aged and older adults’ hypertension

2019 ◽  
Vol 3 ◽  
pp. 13
Author(s):  
Andrusaityte S ◽  
Grazuleviciene R ◽  
Dedele A
Author(s):  
Gesa Czwikla ◽  
Filip Boen ◽  
Derek G. Cook ◽  
Johan de Jong ◽  
Tess Harris ◽  
...  

Reducing social inequalities in physical activity (PA) has become a priority for public health. However, evidence concerning the impact of interventions on inequalities in PA is scarce. This study aims to develop and test the application of a strategy for re-analyzing equity-specific effects of existing PA intervention studies in middle-aged and older adults, as part of an international interdisciplinary collaboration. This article aims to describe (1) the establishment and characteristics of the collaboration; and (2) the jointly developed equity-specific re-analysis strategy as a first result of the collaboration. To develop the strategy, a collaboration based on a convenience sample of eight published studies of individual-level PA interventions among the general population of adults aged ≥45 years was initiated (UK, n = 3; The Netherlands, n = 3; Belgium, n = 1; Germany, n = 1). Researchers from these studies participated in a workshop and subsequent e-mail correspondence. The developed strategy will be used to investigate social inequalities in intervention adherence, dropout, and efficacy. This will allow for a comprehensive assessment of social inequalities within intervention benefits. The application of the strategy within and beyond the collaboration will help to extend the limited evidence regarding the effects of interventions on social inequalities in PA among middle-aged and older adults.


SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A65-A65
Author(s):  
Rebecca Lorenz ◽  
Varun Chandola ◽  
Samantha Auerbach ◽  
Heather Orom ◽  
Chin-Shang Li ◽  
...  

Abstract Introduction Although poor sleep is not inherent with aging, an estimated 50-70 million adults in the US have insufficient sleep. Sleep duration is increasingly recognized as incomplete and insufficient. Instead, sleep health (SH), a multidimensional concept describing sleep/wake patterns that promote well-being has been shown to better reflect how sleep impacts the individual. Therefore, focusing on the underlying factors contributing to sleep health may provide the opportunity to develop interventions to improve sleep health in middle-age and older adults. Methods Data from the 2014 wave of the Health and Retirement Study (HRS) were used. Sample size was restricted to those who completed an additional questionnaire containing sleep variables. A derivation of the SH composite was constructed using eight selected sleep variables from the HRS data based on the five dimensions of sleep: Satisfaction, Alertness, Timing, Efficiency, and Duration. Total score ranged from 0-100, with higher scores indicating better SH. Weighting variables were based on complex sampling procedures and provided by HRS. Machine learning-based framework was used to identify determinants for predicting SH using twenty-six variables representing individual health and socio-demographics. Penalized linear regression with elastic net penalty was used to study the impact of individual predictors on SH. Results Our sample included 5,163 adults with a mean age of 67.8 years (SD=9.9; range 50-98 years). The majority were female (59%), white (78%), and married (61%). SH score ranged from 27-61 (mean=50; SD=6.7). Loneliness (coefficient=-1.92), depressive symptoms (coefficient=-1.28), and physical activity (coefficient=1.31) were identified as the strongest predictors of SH. Self-reported health status (coefficient=-1.11), daily pain (coefficient=-0.65), being middle-aged (coefficient=-0.26), and discrimination (coefficient=-0.23) were also significant predictors in this model. Conclusion Our study identified key predictors of SH among middle-aged and older adults using a novel approach of Machine Learning. Improving SH is a concrete target for health promotion through clinical interventions tailored towards increasing physical activity and reducing loneliness and depressive symptoms among middle-aged adults. Support (if any) This study was supported by National Heart, Lung, and Blood Institute (NHLBI) UB Clinical Scholar Program in Implementation Science to Achieve Triple Aims-NIH K12 Faculty Scholar Program in Implementation Science


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 845-846
Author(s):  
Daniel Fleming ◽  
Yin Liu ◽  
Myles Maxey ◽  
Elizabeth Braungart Fauth ◽  
Troy Beckert

Abstract Physical activity has known associations with lower stress and improved well-being. These studies often include samples from one developmental phase at a time, which is helpful for researchers in those developmental areas, but less informative for identifying predictors of health and well-being across the lifespan. The current study examined whether protective aspects of physical activity (steps) on stress and mood worked similarly in widely different age cohorts. We also examined these relationships at the daily level, as opposed to global/macro levels. Participants (n = 119, 67% female) were 44 adolescents between 13-18 years (Mage (SD) = 15.73 (1.48) years, 57% female) and 77 middle-aged/older adults between 55-76 years (Mage (4.97) = 59.67, 74% female). They self-reported global life satisfaction and demographic characteristics at baseline and completed ecological momentary assessments (three per day for three consecutive days, across six measurement bursts, each spaced two weeks apart) via smart phones, reporting on their mood, stressor exposures/types, and end-of-day pedometer step count. Multilevel models showed that daily steps had protective effects against social network stressors on both daily mood and life satisfaction, such that more steps weakened the negative relationship between network-related stressors, mood, and life satisfaction. This protective effect was uniform for both older and younger adults, and across boys/men and girls/women. Overall, the present study suggested the importance of physical activity, even that of general step count, on buffering daily stress on daily mood and general life satisfaction for participants at multiple phases of the lifespan.


Author(s):  
Juyeong Kim ◽  
Eun-Cheol Park

Background: Given the documented importance of employment for middle-aged and older adults’ mental health, studies of the association between their number of work hours and depressive symptoms are needed. Objectives: To examine the association between the number of work hours and depressive symptoms in Korean aged 45 and over. Methods: We used data from the first wave to fourth wave of the Korea Longitudinal Study of Aging. Using the first wave at baseline, data included 9845 individuals. Depressive symptoms were measured using the 10-item Center for Epidemiological Studies Depression scale. We performed a longitudinal analysis to estimate the prevalence of depressive symptoms by work hours. Results: Both unemployed males and females aged 45–65 years were associated with higher depressive symptoms (β = 0.59, p < 0.001; β = 0.32, p < 0.001). Females working ≥ 69 h were associated with higher depressive symptoms compared to those working 41–68 h (β = 0.25, p = 0.013). Among those both middle-aged and older adults, both males and females unemployed were associated with higher depressive symptoms. Those middle-aged female working ≥69 h were associated with higher depressive symptoms. Conclusions: An increase in depressive symptoms was associated with unemployed males and females working ≥69 h compared to those working 41–68 h. Although this association was found among middle-aged individuals, a decrease in depressive symptoms in both sexes was associated with working 1–40 h. Depressive symptoms should decrease by implementing employment policies and social services to encourage employers to support middle-aged and older adults in the workforce considering their sex and age differences.


Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3415
Author(s):  
Hursuong Vongsachang ◽  
Aleksandra Mihailovic ◽  
Jian-Yu E ◽  
David S. Friedman ◽  
Sheila K. West ◽  
...  

Understanding periods of the year associated with higher risk for falling and less physical activity may guide fall prevention and activity promotion for older adults. We examined the relationship between weather and seasons on falls and physical activity in a three-year cohort of older adults with glaucoma. Participants recorded falls information via monthly calendars and participated in four one-week accelerometer trials (baseline and per study year). Across 240 participants, there were 406 falls recorded over 7569 person-months, of which 163 were injurious (40%). In separate multivariable regression models incorporating generalized estimating equations, temperature, precipitation, and seasons were not significantly associated with the odds of falling, average daily steps, or average daily active minutes. However, every 10 °C increase in average daily temperature was associated with 24% higher odds of a fall being injurious, as opposed to non-injurious (p = 0.04). The odds of an injurious fall occurring outdoors, as opposed to indoors, were greater with higher average temperatures (OR per 10 °C = 1.46, p = 0.03) and with the summer season (OR = 2.69 vs. winter, p = 0.03). Falls and physical activity should be understood as year-round issues for older adults, although the likelihood of injury and the location of fall-related injuries may change with warmer season and temperatures.


Gerontology ◽  
2021 ◽  
pp. 1-14
Author(s):  
Ahmed Ghachem ◽  
Frédérik Dufour ◽  
Tamas Fülöp ◽  
Pierrette Gaudreau ◽  
Alan A. Cohen

<b><i>Background:</i></b> Age-related changes in biological processes such as physiological dysregulation (the progressive loss of homeostatic capacity) vary considerably among older adults and may influence health profiles in late life. These differences could be related, at least in part, to the impact of intrinsic and extrinsic factors such as sex and physical activity level (PAL). <b><i>Objectives:</i></b> The objectives of this study were (1) to assess the magnitude and rate of changes in physiologi­cal dysregulation in men and women according to PAL and (2) to determine whether/how sex and PAL mediate the apparent influence of physiological dysregulation on health outcomes (frailty and mortality). <b><i>Methods:</i></b> We used data on 1,754 community-dwelling older adults (age = 74.4 ± 4.2 years; women = 52.4%) of the Quebec NuAge cohort study. Physiological dysregulation was calculated based on Mahalanobis distance of 31 biomarkers regrouped into 5 systems: oxygen transport, liver/kidney function, leukopoiesis, micronutrients, and lipids. <b><i>Results:</i></b> As expected, mean physiological dysregulation significantly increased with age while PAL decreased. For the same age and PAL, men showed higher levels of physiological dysregulation globally in 3 systems: oxygen transport, liver/kidney function, and leukopoiesis. Men also showed faster global physiological dysregulation in the liver/kidney and leukopoiesis systems. Overall, high PAL was associated with lower level and slower rate of change of physiological dysregulation. Finally, while mortality and frailty risk significantly increased with physiological dysregulation, there was no evidence for differences in these effects between sexes and PAL. <b><i>Conclusion:</i></b> Our results showed that both sex and PAL have a significant effect on physiological dysregulation levels and rates of change. Also, although a higher PAL was associated with lower level and slower rate of change of physiological dysregulation, there was no evidence that PAL attenuates the effect of physiological dysregulation on subsequent declines in health at the end of life. Substantial work remains to understand how modifiable behaviors impact the relationship between physiological dysregulation, frailty, and mortality in men and women.


2011 ◽  
Vol 74 (11) ◽  
pp. 509-516 ◽  
Author(s):  
Clare Hocking ◽  
Juanita Murphy ◽  
Kirk Reed

Aim: This exploratory study aimed to uncover the strategies that older adults employ to ameliorate the impact of impairments and barriers to participation. Method: Eight participants were interviewed in their own homes, in a town or city in New Zealand. Findings: Inductive analysis of data revealed four main categories of strategies: strategies to keep safe, to recruit and accept help, to meet social and biological needs (nutritional and medical), and to conserve financial, material and bodily resources. Discussion: The study supports some previous findings of strategies used by older people, and demonstrates that enquiring into the strategies that older people devise and adopt into their own lives is a productive line of inquiry. The strategies described differ from those that occupational therapists recommend, and do not incorporate public health messages about the benefits of physical activity or recommendations about falls prevention. Conclusion: The findings suggest that asking older clients about the strategies that they use will uncover valuable information for therapists giving advice or issuing equipment to help older adults to manage in the community.


2018 ◽  
Vol 112 ◽  
pp. 9-19 ◽  
Author(s):  
Carly Cooper ◽  
Anne Gross ◽  
Chad Brinkman ◽  
Ryan Pope ◽  
Kelli Allen ◽  
...  

2004 ◽  
Vol 59 (1) ◽  
pp. P19-P26 ◽  
Author(s):  
Y. Fukukawa ◽  
C. Nakashima ◽  
S. Tsuboi ◽  
N. Niino ◽  
F. Ando ◽  
...  

2005 ◽  
Vol 13 (1) ◽  
pp. 87-114 ◽  
Author(s):  
Fuzhong Li ◽  
K. John Fisher ◽  
Adrian Bauman ◽  
Marcia G. Ory ◽  
Wojtek Chodzko-Zajko ◽  
...  

Over the past few years, attention has been drawn to the importance of neighborhood influences on physical activity behavior and the need to consider a multilevel analysis involving not only individual-level variables but also social-and physical-environment variables at the neighborhood level in explaining individual differences in physical activity outcomes. This new paradigm raises a series of issues concerning systems of influence observed at different hierarchical levels (e.g., individuals, neighborhoods) and variables that can be defined at each level. This article reviews research literature and discusses substantive, operational, and statistical issues in studies involving multilevel influences on middle-aged and older adults’ physical activity. To encourage multilevel research, the authors propose a model that focuses attention on multiple levels of influence and the interaction among variables characterizing individuals, among variables characterizing neighborhoods, and across both levels. They conclude that a multilevel perspective is needed to increase understanding of the multiple influences on physical activity.


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