scholarly journals Factors Associated with Changes in the Objectively Measured Physical Activity among Japanese Adults: A Longitudinal and Dynamic Panel Data Analysis

2021 ◽  
Author(s):  
Daiki Watanabe ◽  
Haruka Murakami ◽  
Yuko Gando ◽  
Ryoko Kawakami ◽  
Kumpei Tanisawa ◽  
...  
Keyword(s):  
Physical Activity ◽  
Rate Of Change ◽  
Dynamic Changes ◽  
Comorbidity Score ◽  
Factors Associated ◽  
Japanese Adults ◽  
Objectively Measured ◽  
Trunk Flexibility ◽  
Objectively Measured Physical Activity ◽  
Activity Trajectory

Abstract Background: Factors of dynamic changes associated with changes in the objectively measured physical activity have not been well understood. We aimed to 1) evaluate the longitudinal change in the physical activity trajectory associated with age according to sex and to 2) determine the dynamic changes factors associated with the change in physical activity-related variables across a wide age range among Japanese adults.Methods: This longitudinal prospective study included 689 Japanese adults (3914 measurements) aged 26–85 years, whose physical activity data in at least two surveys were available. Physical activity-related variables, such as intensity (inactive, light [LPA; 1.5 to 2.9 metabolic equivalents (METs)], moderate to vigorous [MVPA; ≥3.0 METs]), total energy expenditure (TEE), physical activity level (PAL), and step count, were evaluated using a validated triaxial accelerometer. The inactive times were calculated by subtracting the sum of sedentary (<1.5 METs) and non-wearing periods from 1440 minutes. Statistical analysis involved the latent growth curve models and random-effect panel data multivariate regression analysis. The covariates for multivariate analysis included the age, sex, region, body mass index, waist/hip ratio, comorbidity score, smoking status, alcohol intake, energy intake, diet quality score, hemoglobin, heart rate, hand grips, leg power, and trunk flexibility.Results: During a mean follow-up period of 6.8 years, physical activity was assessed 5.1 times in men and 5.9 times in women on average. The profiles for the inactive time, LPA (only men), MVPA, step count, PAL, and TEE showed clear curvature, indicating an accelerated rate of change around the age of 70. In contrast, other variables exhibited minimal or no curvature over the age span. The MVPA trajectory was positively associated with alcohol consumption, hand grips, leg power, and trunk flexibility, and negatively associated with age, local area, BMI, comorbidity score, and heart rate over time.Conclusions: Our results indicated that the physical activity trajectory showed clear curvature, accelerated rate of change around the age of 70, and determined physical health and fitness and BMI as dynamic changes factors associated physical activity changes. These findings may be useful to help support populations to achieve and maintain the recommended level of physical activity.

scholarly journals Associations of Objectively Measured Physical Activity and Sleep with Weight Loss Maintenance: A Preliminary Study of Japanese Adults

2019 ◽  
Vol 10 (1) ◽  
pp. 3
Author(s):  
Kyohsuke Wakaba ◽  
Hiroyuki Sasai ◽  
Yoshio Nakata
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Statistical Power ◽  
Vigorous Physical Activity ◽  
Weight Loss Maintenance ◽  
Mean Difference ◽  
Japanese Adults ◽  
Preliminary Study ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Maintaining weight loss is considerably more challenging than losing weight. Most previous studies on weight loss maintenance have been conducted in Western countries and have assessed physical activity and sleep with the use of questionnaires. This preliminary study investigated the associations of objectively measured physical activity and sleep with weight loss maintenance among 25 Japanese adults who had intentionally lost ≥ 10% of their original weight. Participants wore tri-axial accelerometers on their waists and sleep monitors on their wrists for two weeks to measure their physical activity and sleep, respectively. A linear regression adjusted for sex, age, maximum weight, and time since losing weight was performed to investigate these associations. Participants had a mean body mass index of 23.4 kg/m2 and a median weight loss of 12.5%. Compared to those who maintained < 12.5% weight loss, those who maintained ≥ 12.5% weight loss slept longer (adjusted mean difference: 66.1 min/night, 95% confidence interval (CI): −14.0, 146.3 min/night, p = 0.10) and performed less moderate-to-vigorous physical activity (adjusted mean difference: −21.7 min/day, 95% CI: −58.0, 14.5 min/day, p = 0.22). Though statistical power was limited, sleep behavior may be an important modifiable factor that facilitates weight loss maintenance. Our findings can be used to establish a well-designed study to confirm this association.

scholarly journals Trajectories of objectively measured physical activity and mood states in older Japanese adults: longitudinal data from the Nakanojo Study

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Shuji Inada ◽  
Kazuhiro Yoshiuchi ◽  
Sungjin Park ◽  
Yukitoshi Aoyagi
Keyword(s):  
Physical Activity ◽  
Depressive Mood ◽  
Mood States ◽  
Step Count ◽  
Accelerometer Data ◽  
Daily Step ◽  
Japanese Adults ◽  
Daily Step Count ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity

Abstract Background Japan, like many developed countries, now faces fiscal problems from the escalating health-care expenditures associated with an aging population. Mental health problems such as depression contribute as much to these growing demands as physical disease, and measures to prevent depression are important to controlling costs. There are few longitudinal studies examining the relation between objectively measured physical activity and depressive symptoms. Therefore, the aims of our study were to explore the patterns of change of physical activity in older Japanese adults for 5 years through the use of trajectory analysis and to examine the relation between physical activity trajectories and depressive mood states. Main body Ninety-two male and 99 female volunteers aged 65–85 years were asked to equip themselves with an electronic accelerometer with a 60-day storage capacity for at least 5 years. The parameters calculated each July for the 5 years were the average daily step count and the average daily duration of activity > 3 METs (moderate to vigorous physical activity: MVPA). Hospital Anxiety and Depression Scale (HADS) assessed corresponding mood states (HADS-A and HADS-D). Trajectories of the accelerometer data were analyzed and fifth-year HADS-D and HADS-A scores were compared among trajectory groups using an analysis of covariance (ANCOVA) that controlled for baseline scores and for baseline scores and age. Six and five distinct trajectories were identified for daily step count and for daily duration of MVPA, respectively. Using ANCOVA controlling for baseline scores, HADS-D scores differed significantly among trajectory groups classed by daily duration of MVPA (p = 0.04), and Tukey’s multiple comparison tests showed significant differences between group 2, whose pattern was stable with the middle duration of MVPA, and group 1, whose pattern was stable with the lowest duration of MVPA (p = 0.02), while the results were not significant controlling for both baseline scores and age. Conclusions Older people with less MVPA continued to do less MVPA over the 5 years of study, which may be related to a future more depressive mood. Further clinical studies will be necessary to clarify these findings.

The Relationship Between Weather and Objectively Measured Physical Activity Among Individuals With COPD

2017 ◽  
Vol 37 (6) ◽  
pp. 445-449 ◽  
Author(s):  
Shea M. Balish ◽  
Gail Dechman ◽  
Paul Hernandez ◽  
John C. Spence ◽  
Ryan E. Rhodes ◽  
...  
Keyword(s):  
Physical Activity ◽  
Objectively Measured ◽  
The Relationship ◽  
Objectively Measured Physical Activity

scholarly journals Associations between objectively measured physical activity, sedentary behaviour and time in bed among 75+ community-dwelling Danish older adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li-Tang Tsai ◽  
Eleanor Boyle ◽  
Jan C. Brønd ◽  
Gry Kock ◽  
Mathias Skjødt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
Activity Level ◽  
Time In Bed ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Vector Magnitude

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.

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