scholarly journals Associations of older adults’ excursions from home with health-related physical activity and sedentary behavior

2021 ◽  
Vol 92 ◽  
pp. 104276
Author(s):  
Noritoshi Fukushima ◽  
Shiho Amagasa ◽  
Hiroyuki Kikuchi ◽  
Aoi Kataoka ◽  
Tomoko Takamiya ◽  
...  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li-Tang Tsai ◽  
Eleanor Boyle ◽  
Jan C. Brønd ◽  
Gry Kock ◽  
Mathias Skjødt ◽  
...  

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.


2017 ◽  
Vol 52 (1) ◽  
pp. 19-28 ◽  
Author(s):  
Saengryeol Park ◽  
Cecilie Thøgersen-Ntoumani ◽  
Jet J C S Veldhuijzen van Zanten ◽  
Nikos Ntoumanis

2021 ◽  
Vol 40 (8) ◽  
pp. 481-490
Author(s):  
Tiara Ratz ◽  
Claudia Voelcker-Rehage ◽  
Claudia R. Pischke ◽  
Saskia Muellmann ◽  
Manuela Peters ◽  
...  

2018 ◽  
Vol 33 (5) ◽  
pp. 764-767 ◽  
Author(s):  
Mohammad Javad Koohsari ◽  
Andrew T. Kaczynski ◽  
Tomoki Nakaya ◽  
Ai Shibata ◽  
Kaori Ishii ◽  
...  

Purpose: The purposes of this study were to examine associations between objectively measured walkable urban design attributes with Japanese older adults’ body mass index (BMI) and to test whether objectively assessed physical activity and sedentary behavior mediated such associations. Design: Cross-sectional. Setting: Matsudo City, Chiba Prefecture, Japan. Participants: Participants were 297 older residents (aged 65-84 years) randomly selected from the registry of residential addresses. Measures: Walkable urban design attributes, including population density, availability of physical activity facilities, intersection density, and access to public transportation stations, were calculated using geographic information systems. Physical activity, sedentary behavior, and BMI were measured objectively. Analysis: The relationships of walkable urban design attributes, Walk Score®, and BMI were examined by multiple linear regression with adjustment for covariates in all models. Mediation effects of the physical activity and sedentary behavior variables in these relationships were tested using a product-of-coefficients test. Results: Higher population density and Walk Score® were associated with lower BMI. Light and moderate-to-vigorous physical activities partially mediated the relationships between these walkable urban design attributes and BMI. Conclusions: Developing active-friendly environmental policies to (re)design neighborhoods may not only promote active transport behaviors but also help in improving residents’ health status in non-Western contexts.


10.21149/9400 ◽  
2019 ◽  
Vol 61 (2, Mar-Abr) ◽  
pp. 106
Author(s):  
Katia Gallegos-Carrillo ◽  
Yesenia Honorato-Cabañas ◽  
Nayeli Macías ◽  
Carmen García-Peña ◽  
Yvonne N Flores ◽  
...  

Objective. To evaluate the combined use of IMSS pre­ventive health services (PHS) and the practice of physical activity (PA) in order to determine their association with the perceived health-related quality of life (HRQoL) of older adults. Materials and methods. A survey-based cross-sectional study was conducted at nine primary health care units (PHCUs) in Mexico City. The 36-Item Short-Form Health Survey evaluated the HRQoL, while PA and PHS use were assessed through self-report. Linear regression analyses were performed to determine the relationship between these three variables. Results. Of the 1 085 older adults who participated in the study, 36.8% used PHS, and 23.3% reported that they engage in PA. After controlling for possible effects due to sociodemographic and health differences, we found that participants who were physically active and used PHS reported better perceived HRQoL scores. Conclusions. The combined use of preventive practices such as the use of PHS and the practice of PA can help improve the perceived HRQoL of older adults.


2007 ◽  
Vol 15 (3) ◽  
pp. 318-335 ◽  
Author(s):  
Jill Dawson ◽  
Melvyn Hillsdon ◽  
Irene Boller ◽  
Charlie Foster

The authors investigated whether low levels of walking among older adults in the UK were associated with demographic and health characteristics, as well as perceived environmental attributes. Survey data were obtained from self-administered standard questionnaires given to 680 people age 50+ (mean age 64.4 yr) attending nationally led walking schemes. Items concerned with demographic characteristics and perceived barriers to neighborhood walking were analyzed using multiple logistic regression. Citing more than 1 environmental barrier to walking, versus not, was associated with significantly reduced levels of (leisure) walking (MET/hr) in the preceding week (Z = –2.35, p = .019), but physical activity levels overall did not differ significantly (Z = –0.71, p = .48). Citing a health-related barrier to walking significantly adversely affected overall physical activity levels (Z = –2.72, p = .006). The authors concluded that, among older people who favor walking, health problems might more seriously affect overall physical activity levels than perceived environmental barriers.


Sign in / Sign up

Export Citation Format

Share Document