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Research Article
Motohiko Miyachi
Waseda University
Corresponding Author
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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.
Keywords
objectively measured physical activity, longitudinal trajectory, accelerometer, moderate to vigorous physical activity, factors of dynamic changes
Figure 1
Figure 2
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
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This preprint is under consideration at BMC Public Health. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Motohiko Miyachi
Waseda University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 19 Nov, 2021
No community comments so far
Reviews received
Received 29 Nov, 2021
Reviewers agreed
On 28 Nov, 2021
Reviewers invited
Invitations sent on 12 Nov, 2021
Editor assigned
On 12 Nov, 2021
Editor invited
On 11 Nov, 2021
Submission checks complete
On 11 Nov, 2021
First submitted
On 02 Nov, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Health Policy
License:
This work is licensed under a CC BY 4.0 License. Read Full License
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.
Figure 1
Figure 2
No competing interests reported.
This is a list of supplementary files associated with this preprint. Click to download.
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