Normative Data of Objectively Measured Physical Activity and Sedentary Time in Community—Dwelling Older Japanese
by
Harukaze Yatsugi
1, 
Tao Chen
2,
Si Chen
3,
Kenji Narazaki
4,
Sho Nagayoshi
1,5,
Shuzo Kumagai
6 and
Hiro Kishimoto
1,7,* 1
Department of Behavior and Health Sciences, Graduate School of Human-Environment Studies, Kyushu University, 744 Motooka Nishi-ku, Fukuoka City, Fukuoka 819-0395, Japan
2
Sports and Health Research Center, Department of Physical Education, Tongji University, Shanghai 200092, China
3
School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 West Wenhua Road, Jinan 250012, China
4
Faculty of Socio-Environmental Studies, Fukuoka Institute of Technology, 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka City, Fukuoka 811-0295, Japan
5
Development Center, Clinical Development Department, Technology Development HQ, Omron Healthcare Co., Ltd., 53 Kunotsubo, Terado-cho, Muko, Kyoto 617-0002, Japan
6
Institute of Covergence Bio-Health, Dong-A University, B08-0302, 37 Nakdong-daero 550 Beon-gil, Saha-gu, Busan 49315, Korea
7
Faculty of Arts and Science, IC15, Kyushu University, 744 Motooka Nishi-ku, Fukuoka City, Fukuoka 819-0395, Japan
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(7), 3577; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18073577
Submission received: 20 February 2021
/
Revised: 19 March 2021
/
Accepted: 26 March 2021
/
Published: 30 March 2021
(This article belongs to the Special Issue Patterns of Physical Activity, Sedentary Behavior, and Sleep and Geriatric Diseases)
Abstract
:Background: The amounts of moderate-to-vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), and sedentary time (ST) by sex, age, and body mass index (BMI) in older Japanese adults have not been known. We conducted this study to determine the actual physical activity (PA) and ST in this population. Subjects and Methods: A total of 3998 community-dwelling Japanese adults aged ≥65 years were investigated. Their levels of PA and ST and number of steps taken daily were assessed for seven consecutive days by a tri-axial accelerometer. Normative values of daily PA and ST were analyzed by age and BMI groups in the men and the women and are presented as mean, median, or decile. Results: The subjects generally adhered to the PA guideline, i.e., ≥10 metabolic equivalents (METs)·hour MVPA per week. Older age was associated with lower adherence to the PA guideline. Conclusions: Normative values (mean, median, or decile) were yielded for MVPA, LPA, and ST based on accelerometer readings in a large sample of older community-dwelling Japanese adults. One-half of the subjects’ waking time was spent being sedentary, and >70% of the subjects met the current PA guideline by engaging in MVPA.
1. Introduction
Physical activity (PA) is increasingly recognized as a factor that can decrease the risks of obesity, type 2 diabetes, cardiovascular disease, osteoporosis, and mortality [1,2,3,4,5]. The Japanese Physical Activity Guideline for Health 2013 was thus designed to help Japan’s population increase their PA in daily life to improve and maintain their health [6]. This PA Guideline recommends that adults (aged 18–64 years) should engage in moderate-to-vigorous-intensity physical activity (MVPA) for 4 metabolic equivalents (METs)·hours/week (h/wk), and that older adults (≥65 years) should engage in PA regardless of its intensity for 10 METs·h/wk. At this juncture, intensity of PA and sedentary time (ST) were not mentioned in Japan’s PA guideline of older adults.
However, Japan’s PA guideline was standardized based on the findings of a meta-analysis that included four studies of western populations and using self-reported PA data [7,8,9,10]. There appears to be no data to describe such prevalence at a Japanese population level.
An accelerometer allows objective and accurate measurements of PA at the individual and population levels, and its use reduces the potential assessment bias that is inherent to self-reported measures especially about older adults. There are few objectively measured PA data available for a large-scale Japanese older population (or, the existing data are limited to a single area or a limited sample size, which may limit the generalization of the findings) [11,12,13]. A pooled analysis that combines cohorts from multiple areas could improve our understanding of the levels of PA in older Japanese and thus provide normative PA data of community-dwelling older adults. The design of the present study thus covers multiple areas and a large sample that can provide precise PA and ST data in older Japanese adults, obtained with the use of a tri-axial accelerometer.
2. Subjects and Methods
2.1. Study Subjects
The study population was drawn from four municipalities conducted in Fukuoka Prefecture, one of Japan’s 47 prefectures. In these municipalities, residents aged ≥65 years old who participated in fitness assessments were included in this study. Individuals with long-term care needs were excluded from the pre-screening process. The eligible subjects were not certified as requiring long-term care by Japan’s long-term care insurance system.
A total of 5635 subjects were eligible for the study [11,12,14,15], and 3998 of the subjects (1167 men and 2327 women) who provided valid accelerometer data (i.e., ≥10 h for ≥4 days of wear time) were enrolled. These data were acquired in 2009 (Spring–Summer) [12], in 2009 (Summer–Autumn) [14], in 2011 (Spring) [11], and in 2017 (Autumn) [15]. This study was approved by the Institutional Review Board of Kyushu University, Japan. All subjects provided written informed consent to participate.
2.2. Physical Activity and Sedentary Behavior Measures
Each subject’s PA and ST were objectively measured by a tri-axial accelerometer (Active Style Pro HJA-350IT, Omron Healthcare, Kyoto, Japan). The subjects were instructed to wear the accelerometer on the right or left side of their waist for 7 consecutive days and remove it only before going to bed or participating in water activities. Data were recorded in 1-min epochs. The accuracy of the intensity estimated by the Active Style Pro has been validated with the Douglas bag method [16]. Additionally, the use of a tri-axial accelerometer to assess PA and sedentary time allowed for a more accurate estimate of activity intensity than a conventional uni-axial accelerometer [16]. Technical specification and data acquisition system for the Active style Pro have been previously reported. [16,17]. Non-wear time was defined as ≥60 consecutive min of no activity, i.e., estimated activity intensity <1.0 metabolic equivalents (METs) with an allowance for 2 min of activities with an intensity up to 1.0 METs [11,18,19]. The data of only the subjects with ≥4 valid wear days (≥10 h of wear time/day) were included in the analysis [20].
The cut-off values used to define the amounts of time spent in ST, light-intensity physical activity (LPA), and MVPA were as follows: ≤1.5 METs for ST, 1.6–2.9 METs for LPA, and ≥3.0 METs for MVPA. As noted above, the Japanese Physical Activity Guideline for Health 2013 states that older adults (≥65 years) should engage in PA (regardless of its intensity) for 10 METs·hr/wk [6], and the goals of the 2nd edition of Healthy Japan 21 for older adults are 7000 daily steps for men and 6000 daily steps for women [21]. This study determined how many of the subjects performed MVPA at 10 METs·hr/wk.
2.3. Other Measures
Each subject’s body weight (kg) and body height (m) were measured using standard protocols with the subject in light clothing and without shoes. The subjects’ body mass index (BMI) values were calculated as weight in kilograms divided by height in meters squared. We then categorized the BMI values into <18.5, 18.5–24.9, 25.0–29.9, and ≥30.0 kg/m2 groups. We categorized the subjects’ ages into 65–69, 70–74, 75–79, 80–84, and ≥85 years as age groups.
2.4. Statistical Analyses
The time spent at each defined intensity of PA or sedentary was summed over the valid days for each subject, and the daily averages were then calculated. The proportions of subjects in each of the categories were also calculated and are presented for the age, sex, and BMI groups. Descriptive data were summarized as means ± standard deviation (SD), median, and/or each ten percentile (decile) for continuous variables and as the frequency (percentage) for categorical variables.
We conducted an analysis of variance (ANOVA) to identify differences in the proportion of subjects meeting the current Japan PA guideline (i.e., PA regardless of its intensity for 10 METs·hr/wk) among the sex, age, and BMI groups. All statistical analyses were conducted using SAS ver. 9.4 (SAS, Cary, NC, USA). The significance level was set at two-sided α = 0.05.
3. Results
3.1. Population
The median age of all 3,998 subjects was 72 years, and the median BMI was 22.9 kg/m2. Women comprised 58.2% (n = 2327) of the subjects; men accounted for 41.8% (n = 1671). The median steps for the men and women were 5701 and 5038, respectively. The median accelerometer wearing time was 803 min/day in the men and 846 min/day in the women. Men spent 39.6 min/day in MVPA, 283.6 min/day in LPA, and 478.0 min/day in ST. Compared to the men, the women spent more time engaging in MVPA (43.2 min/day) and LPA (373.1 min/day) and less ST (417.9 min/day).
3.2. PA and ST
Table 1 summarizes the distribution of steps, accelerometer wearing time, and time spent in MVPA, LPA, and ST according to age categories in the men. The mean or median values of steps, accelerometer wearing time, MVPA, and LPA were each lower with increasing age, whereas the ST values were greater in the higher age groups. According to the mean values of each PA variable, the younger age groups exhibited significantly high MVPA (p < 0.001) and LPA (p < 0.001) and significantly low ST (p < 0.001) compared to the older age groups. Similar findings were observed in the women (Table 2).
We next investigated the distributions of values according to BMI categories in the men (Table 3) and women (Table 4). In both groups, the subjects in the second BMI group (18.5–24.9) values showed the highest numbers of steps taken and the longest MVPA durations. According to the mean values of each PA variable, the lower BMI groups among the men showed significantly high LPA (p < 0.0001) and significantly low ST (p = 0.0088). There were also significant differences (p < 0.05) between the 18.5–24.9 group and <18.5 group or 25.0–29.9 group in MVPA, and 25.0–29.9 group or ≥30.0 group in LPA (Table 3). In the group of women, the lower BMI groups demonstrated significantly high MVPA (p = 0.0009), significantly high LPA (p < 0.0001), and significantly low ST (p < 0.0001). There were also significant differences (p < 0.05) between the 18.5–24.9 group and 25.0–29.9 group in MVPA, <18.5 group or 25.0–29.9 group or ≥30.0 group in LPA, and 25.0–29.9 group or ≥30.0 group in ST (Table 4).
3.3. PA Guideline Adherence
As shown in Figure 1, 71.0% of the subjects adhered to the PA guideline (defined as ≥10 METs·h/wk) by engaging in MVPA only. With regard to sex-specific prevalence, more women adhered to the PA guideline (73.1%) compared to men (68.1%). The adherence to the PA guideline decreased with age in both men and women (p < 0.0001). As shown in Figure 2, the adherence to the PA guideline also decreased with increasing BMI starting from the second BMI group (72.7%) through the higher-BMI groups (highest group: 65.6%) and both sexes (p = 0.0028).
3.4. Associations
For the entire population, there was a significant positive correlation between MVPA and LPA (r = 0.30) and a significant negative correlation between ST and MVPA (r = −0.42) or LPA (r = −0.60) (both p < 0.001).
4. Discussion
The results of our analyses demonstrated that among nearly 4000 Japanese adults aged ≥65, the median daily steps taken by men was 5701 and that taken by women was 5038. The higher number of daily steps was more likely among men, the younger age groups, and the second BMI group. Overall, the subjects spent approx. 5.0% of their waking time in MVPA, 41.1% in LPA, and 53.9% in ST. In addition, 71.0% of the subjects reached the recommended criteria for the Japanese PA guideline in 2013 when it was calculated only with MVPA.
4.1. PA and ST
The Nakanojo Study of Japanese subjects reported that all of the men and women exceeded ~8000 and 6900 steps/day, respectively [22]. This finding is close to the goal of the 2nd edition of Healthy Japan 21 for older adults, i.e., 7000 daily steps for men and 6000 daily steps for women [21]. The reasons for the inconsistencies in the numbers of steps between the Nakanojo Study and our present observations might be due to the different sample sizes (n = 175 and n = 3998) and differing measurement devices, i.e., a uni-axial accelerometer (modified Kenz Lifecorder, Suzuken Co., Nagoya, Japan) in the previous study and a tri-axial accelerometer (Active style Pro HJA-350IT) in the present study.
We observed a sex difference regarding the times spent in MVPA, LPA, and ST in this population, which agrees with previous investigations conducted in Japan [12,13] but not western studies [23]. It is possible that PA patterns differ between men and women depending on customs and cultures. Regarding BMI values, in the present study, the MVPA in men’s lowest BMI group was as much as that in the men’s highest BMI group, but the LPA and ST were quite different between these BMI groups. With regard to the differences in PA among the present age and BMI groups, our finding that the MVPA and LPA values are greater in subjects with lower BMIs and in younger individuals is common around the world [23].
4.2. PA Guideline Adherence
An American guideline recommends that adults engage in ≥150 min/week of moderate-intensity physical activity (MPA), or 75 min/week of vigorous-intensity physical activity (VPA), or a combination of MVPA. However, a study that examined the adherence to this guideline revealed that <10% of older American adults met the guideline [24]. The index of 10 METs·hr is equivalent to 4 METs (MVPA) 2.5 h (150 min) of PA. In our present population, 71.0% of the subjects adhered to the PA guideline (defined as ≥10 METs·h/wk) with only their MVPA, and this result demonstrates that the proportion of older Japanese who meet the guideline is quite high, although the subjects in the oldest age group showed lower adherence to the PA guideline than the younger age groups. In addition, our subjects in the second BMI group exhibited higher adherence to the PA guideline than the higher-BMI groups.
The American College of Sports Medicine reported that regular exercise can both minimize the physiological effects of an otherwise sedentary lifestyle and increase an individual’s active life expectancy by limiting the development and progression of chronic disease and disabling conditions [25]. In light of that report, a higher level of PA may be necessary for older people irrespective of sex, age, and BMI level.
Regarding the Japanese Physical Activity Guideline for Health 2013, a larger proportion of women than men adhered to the PA guideline (≥10 METs·h/wk) only by MVPA in this study. In the youngest group (aged 65–69 years) in both sexes, 85.0% of the subjects adhered to the PA guideline. In contrast, 25.5% of the oldest group (≥85 years) adhered to this guideline. Older adults’ circumstances are likely to have undergone changes such as retirement and age-related illnesses [26]. A longitudinal study showed that the level of PA decreased rapidly among community-dwelling adults aged ≥60 [27]. In addition to changing circumstances, the amount of MVPA might decrease with a decline in older adults’ quality of life [28]. These findings highlight that the recommended values of PA and MVPA should take the ages of older adults into account.
4.3. Study Strengths and Limitations
The strengths of this study include the relatively large Japanese population (over 3000 people) aged ≥65 years and the use of a tri-axial accelerometer to assess PA and ST, which provides a more accurate estimate of activity intensity than questionnaires. Our findings comprise the first detailed description of physical activity and sedentary time with regard to age, sex, and BMI in the southwest region of Japan.
Some limitations should be considered when interpreting our findings. (1) The recognized limitations of accelerometers include their inability to detect some types of PA (e.g., water activities and cycling) and distinguish between postures. In addition, the Active Style Pro HJA-350IT might underestimate MVPA among older adults [29]. (2) Almost all of our subjects were without long-term care and assistance; they might be relatively active and motivated compared to the general population. (3) There is a possibility that the subjects’ living environments affected their PA levels; the PA may also differ among the various sizes of neighborhood spaces. (4) The median accelerometer wearing times in men and women were 803.0 min/day and 846 min/day, respectively. Since the minutes of PA and ST depend on the accelerometer wearing time, it is important to consider the wearing time. A recent Japanese study reported that the mean wear time was 854.9 min/day in men and 898.6 min/day in women [13]. This result agrees with ours with respect to the sex difference; i.e., men wore the accelerometer less than women did. Judging from this result, the wearing time may reflect the wearer’s lifestyle/behavior. Moreover, the difference in wearing times (shorter wear times were observed herein compared to the previous study) might be due in part to the different regions from which the subjects were drawn. In the previous study [13], two-thirds of the subjects lived in the Tokyo Metropolitan area, which is the most urban area in Japan. It is possible that the region (e.g., urban vs. suburban and rural) influences individual lifestyles.
5. Conclusions
Our analyses revealed that about one-half of the waking time of this Japanese population of older adults was spent being sedentary. Moreover, the percentage of the subjects’ time spent in MVPA was low regardless of sex, age, and BMI status. All of the subjects met the current physical activity guideline in Japan, and >70% of them met this guideline by engaging in only MVPA.
Author Contributions
Conceptualization, H.Y., T.C., and H.K.; methodology, H.Y., T.C., and H.K.; software, H.Y., T.C., S.C., S.N., and H.K.; validation, H.Y., T.C., and H.K.; formal analysis, H.Y., T.C., S.C., K.N., and H.K.; investigation, H.Y., T.C., S.C., K.N., S.K., and H.K.; resources, K.N., S.K., and H.K.; data curation, H.Y., T.C., and H.K.; writing—original draft preparation, H.Y.; writing—review and editing, H.Y., T.C., S.C., K.N., S.N., S.K., and H.K.; visualization, H.Y., T.C., and H.K.; supervision, H.K.; project administration, K.N., S.K., and H.K.; funding acquisition, K.N., and S.K. All authors have read and agreed to the published version of the manuscript.
Funding
This work was partly supported by a grant from the JSPS KAKENHI (no. JP17K09146 to K.N.) and by Japan’s Agency for Medical Research and Development (AMED 17942839 to S.K.).
Institutional Review Board Statement
This study was approved by the Institutional Review Board of Kyushu University, Japan.
Informed Consent Statement
All subjects provided written informed consent to participate.
Data Availability Statement
The statistical analyses were carried out using the computer resource offered under the category of General Projects by the Research Institute for Information Technology, Kyushu University, Japan.
Acknowledgments
We sincerely thank all of the subjects for their understanding and participation. We also acknowledge Yu Nofuji and other staff for their contributions to the data collection.
Conflicts of Interest
None declared.
References
- Caspersen, C.J.; Powell, K.E.; Christenson, G.M. Physical activity, exercise, and physical fitness. Definitions and distinctions for Health-related research. Public Health Rep. 1985, 100, 126–131. [Google Scholar]
- Nelson, M.E.; Rejeski, W.J.; Blair, S.N.; Duncan, P.W.; Judge, J.O.; King, A.C.; Macera, C.A.; Castaneda-Sceppa, C. Physical activity and public health in older adults: Recommendation from the American College of Sports Medicine and the American Heart Association. Med. Sci. Sports Exerc. 2007, 39, 1435–1945. [Google Scholar] [CrossRef] [Green Version]
- Morgan, G.S.; Gallacherb, J.; Bayerc, A.; Fishd, M.; Ebrahime, S.; Ben-Shlomoa, Y. Physical activity in middle-age and dementia in later life: Findings from a prospective cohort of men in Caerphilly, South Wales and a meta-analysis. J. Alzheimers Dis. 2012, 31, 569–580. [Google Scholar] [CrossRef] [Green Version]
- Paterson, D.H.; Warburton, D.E.R. Review Physical activity and functional limitations in older adults: A systematic review related to Canada’s physical activity guidelines. Int. J. Behav. Nutr. Phys. Act. 2010, 7, 38. [Google Scholar] [CrossRef] [Green Version]
- Keysor, J.J. Does late-life physical activity or exercise prevent or minimize disablement: A critical review of the scientific evidence. Am. J. Prev. Med. 2003, 25, 129–136. [Google Scholar] [CrossRef]
- Japanese Physical Activity Guidelines for Health 2013. Available online: https://www.mhlw.go.jp/stf/houdou/2r9852000002xple-att/2r9852000002xpqt.pdf (accessed on 3 April 2020). (In Japanese).
- Gregg, E.W.; Cauley, J.A.; Seeley, D.G.; Ensrud, K.E.; Bauer, D.C. Physical activity and osteoporotic fracture risk in older women, study of osteoporotic fractures research group. Ann. Intern. Med. 1998, 129, 81–88. [Google Scholar] [CrossRef]
- Heesch, K.C.; Miller, Y.D.; Brown, W.J. Relationship between physical activity and stiff or painful joints in mid-aged women and older women: A 3-year prospective study. Arthritis. Res. Ther. 2007, 9, R34. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ravaglia, G.; Forti, P.; Lucicesare, A.; Pisacane, N.; Rietti, E.; Bianchin, M.; Dalmonte, E. Physical activity and dementia risk in the elderly: Findings from a prospective Italian study. Neurology 2008, 70, 1786–1794. [Google Scholar] [CrossRef] [PubMed]
- Smith, T.L.; Masaki, K.H.; Fong, K.; Abbott, R.D.; Ross, G.W.; Petrovitch, H.; Blanchette, P.L.; White, L.R. Effect of walking distance on 8-year incident depressive symptoms in elderly men with and without chronic disease: The Honolulu-Asia Aging Study. J. Am. Geriatr. Soc. 2010, 58, 1447–1452. [Google Scholar] [CrossRef] [PubMed]
- Chen, T.; Narazaki, K.; Honda, T.; Chen, S.; Haeuchi, Y.; Nofuji, Y.Y.; Matsuo, E.; Kumagai, S. Tri-Axial Accelerometer-Determined Daily Physical Activity and Sedentary Behavior of Suburban Community-Dwelling Older Japanese Adults. J. Sports Sci. Med. 2015, 14, 507–514. [Google Scholar] [PubMed]
- Chen, T.; Kishimoto, H.; Honda, T.; Hata, J.; Yoshida, D.; Mukai, N.; Shibata, M.; Ninomiya, T.; Kumagai, S. Patterns and Levels of Sedentary Behavior and Physical Activity in a General Japanese Population: The Hisayama Study. J. Epidemiol. 2018, 28, 260–265. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Amagasa, S.; Fukushima, N.; Kikuchi, H.; Takamiya, T.; Oka, K.; Inoue, S. Light and sporadic physical activity overlooked by current guidelines makes older women more active than older men. Int. J. Behav. Nutr. Phys. Act. 2019, 14, 59. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Saito, T.; Sakita, M.; Kumagai, S. Combination risk to chronic low back pain of physical activity and sedentary behaviour. JPFSM 2015, 64, 435–442. [Google Scholar]
- Chen, S.; Chen, T.; Kishimoto, H.; Yatsugi, H.; Kumagai, S. Associations of objectively measured patterns of sedentary behavior and physical activity with frailty status screened by the FRAIL scale in Japanese community dwelling older adults. J. Sports Sci. Med. 2020, 19, 166–174. [Google Scholar]
- Ohkawara, K.; Oshima, Y.; Hikihara, Y.; Ishikawa-Takata, K.; Tabata, I.; Tanaka, S. Real-time estimation of daily physical activity intensity by a triaxial accelerometer and a gravity-removal classification algorithm. Br. J. Nutr. 2011, 105, 1681–1691. [Google Scholar] [CrossRef] [PubMed]
- Oshima, Y.; Kawaguchi, K.; Tanaka, S.; Ohkawara, K.; Hikihara, Y.; Ishikawa-Takata, K.; Tabata, I. Classifying household and locomotive activities using a triaxial accelerometer. Gait Posture 2010, 31, 370–374. [Google Scholar] [CrossRef]
- Honda, T.; Chen, S.; Kishimoto, H.; Narazaki, K.; Kumagai, S. Identifying associations between sedentary time and cardio-metabolic risk factors in working adults using objective and subjective measures: A cross-sectional analysis. BMC Public Health 2014, 14, 1307. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Chen, T.; Narazaki, K.; Haeuchi, Y.; Chen, S.; Honda, T.; Kumagai, S. Associations of sedentary time and breaks in sedentary time with disability in instrumental activities of daily living in community-dwelling older adults. J. Phys. Act. Health. 2016, 13, 303–309. [Google Scholar] [CrossRef]
- Trost, S.G.; McIver, K.L.; Pate, R.R. Conducting accelerometer-based activity assessments in field-based research. Med. Sci. Sports Exerc. 2005, 37, S531–S543. [Google Scholar] [CrossRef]
- Healthy Japan 21, 2nd ed. Available online: https://www.mhlw.go.jp/bunya/kenkou/dl/kenkounippon21_02.pdf (accessed on 3 April 2020). (In Japanese).
- Park, H.; Park, S.; Shephard, R.J.; Aoyagi, Y. Yearlong physical activity and sarcopenia in older adults: The Nakanojo Study. Eur. J. Appl. Physiol. 2010, 109, 953–961. [Google Scholar] [CrossRef]
- Berkemeyer, K.; Wijndaele, K.; White, T.; Cooper, A.J.M.; Luben, R.; Westgate, K.; Griffin, S.J.; Khaw, K.T.; Wareham, N.J.; Brage, S. The descriptive epidemiology of accelerometer-measured physical activity in older adults. Int. J. Behav. Nutr. Phys. Act. 2016, 13, 2. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Tucker, J.M.; Welk, G.J.; Beyler, N.K. Physical Activity in U.S. Adults Compliance with the Physical Activity Guidelines for Americans. Am. J. Prev. Med. 2011, 40, 454–461. [Google Scholar] [CrossRef] [PubMed]
- American College of Sports Medicine. American College of Sports Medicine Position Stand. Exercise and Physical Activity for Older Adults. Med. Sci. Sports Exerc. 2009, 41, 1510–1530. [Google Scholar] [CrossRef]
- Wang, J.; Lin, W.; Chang, L. The relationships between retirement, social capital, and self-perceived health. Gerontologist 2010, 50, 346–347. [Google Scholar]
- Yonemoto, K.; Honda, T.; Kishimoto, H.; Yoshida, D.; Hata, J.; Mukai, N.; Shibata, M.; Hirakawa, Y.; Ninomiya, T.; Kumagai, S. Longitudinal changes of physical activity and sedentary time in the middle-aged and older Japanese population: The Hisayama Study. JPAH 2019, 16, 165–171. [Google Scholar] [CrossRef] [PubMed]
- Awick, E.A.; Ehlers, D.K.; Aguiñaga, S.; Daugherty, A.M.; Kramer, A.F.; McAuley, E. Effects of a randomized exercise trial on physical activity, psychological distress and quality of life in older adults. Gen. Hosp. Psychiatry 2017, 49, 44–50. [Google Scholar] [CrossRef] [PubMed]
- Nagayoshi, S.; Oshima, Y.; Ando, T.; Aoyama, T.; Nakae, S.; Usui, C.; Kumagai, S.; Tanaka, S. Validity of estimating physical activity intensity using a triaxial accelerometer in healthy adults and older adults. BMJ Open Sport Exer. Med 2019, 5, e000592. [Google Scholar] [CrossRef] [PubMed]
Figure 1.
Percentage of participants who met 10 metabolic equivalents (METs)·hour/week guideline only considering MVPA by sex and age.
Figure 1.
Percentage of participants who met 10 metabolic equivalents (METs)·hour/week guideline only considering MVPA by sex and age.
Figure 2.
Percentage of participants who met 10 METs·hour/week guideline only considering MVPA by sex and BMI.
Figure 2.
Percentage of participants who met 10 METs·hour/week guideline only considering MVPA by sex and BMI.
Table 1.
Tri-axial accelerometer-determined PA and ST by age groups in the men (n = 1671).
| Overall (n = 1671) | Age Categories, yrs | ||||||
|---|---|---|---|---|---|---|---|
| 65–69 (n = 625) | 70–74 (n = 526) | 75–79 (n = 323) | 80–84 (n = 137) | ≥85 (n = 60) | p for Trend | ||
| Steps: | |||||||
| Mean (SD) | 5701 (3398) | 6542 (3681) | 5701 (2990) | 5250 (3127) | 4041 (2965) | 3156 (2963) | |
| Median | 5186 | 5943 | 5454 | 4672 | 3295 | 2519 | |
| AWT, min/day: | |||||||
| Mean (SD) | 811.8 (94.2) | 818.3 (98.5) | 809.4 (87.3) | 807.7 (92.0) | 809.6 (101.7) | 793.7 (98.6) | |
| Median | 802.8 | 814.4 | 800.4 | 798.1 | 802.7 | 778.0 | |
| MVPA, min/day: | |||||||
| Mean (SD) | 46.1 (34.0) | 55.1 (36.4) | 47.2 (31.3) | 39.8 (31.5) | 26.8 (25.2) | 21.5 (23.3) | <0.0001 |
| Median | 39.6 | 48.8 | 40.6 | 32.3 | 18.0 | 13.9 | |
| decile p10 | 9.5 | 15.9 | 12.9 | 6.5 | 4.4 | 2.0 | |
| decile p20 | 16.9 | 25.7 | 19.4 | 13.1 | 7.3 | 3.3 | |
| decile p30 | 24.3 | 34.6 | 25.1 | 19.8 | 9.7 | 7.2 | |
| decile p40 | 32.5 | 41.6 | 34.4 | 26.2 | 13.5 | 10.9 | |
| decile p60 | 48.1 | 57.7 | 49.4 | 39.5 | 25.9 | 16.5 | |
| decile p70 | 57.9 | 66.4 | 59.7 | 50.3 | 35.8 | 25.9 | |
| decile p80 | 70.3 | 78.6 | 74.1 | 59.5 | 43.8 | 36.8 | |
| decile p90 | 90.0 | 97.8 | 90.3 | 83.6 | 59.2 | 45.0 | |
| LPA, min/day: | <0.0001 | ||||||
| Mean (SD) | 286.4 (87.8) | 298.6 (87.7) | 285.8 (86.5) | 281.4 (81.2) | 267.6 (96.3) | 235.1 (88.0) | |
| Median | 283.6 | 294.6 | 285.7 | 279.5 | 257.4 | 233.1 | |
| decile p10 | 175.3 | 188.7 | 177.3 | 181.4 | 154.0 | 126.6 | |
| decile p20 | 210.5 | 224.5 | 210.5 | 205.3 | 182.3 | 150.9 | |
| decile p30 | 236.5 | 248.8 | 237.9 | 230.8 | 215.2 | 172.9 | |
| decile p40 | 260.6 | 273.4 | 266.4 | 253.8 | 233.6 | 200.5 | |
| decile p60 | 306.3 | 314.3 | 307.3 | 300.9 | 277.1 | 262.9 | |
| decile p70 | 330.4 | 341.2 | 329.6 | 323.1 | 301.7 | 282.5 | |
| decile p80 | 359.3 | 367.2 | 360.9 | 354.4 | 347.1 | 326.7 | |
| decile p90 | 398.8 | 414.8 | 393.6 | 386.0 | 414.8 | 342.7 | |
| ST, min/day: | |||||||
| Mean (SD) | 479.3 (122.5) | 464.5 (125.4) | 476.5 (120.2) | 486.5 (109.2) | 515.2 (128.3) | 537.0 (132.4) | <0.0001 |
| Median | 478.0 | 469.6 | 471.0 | 484.4 | 513.8 | 538.9 | |
| decile p10 | 321.4 | 301.5 | 323.3 | 346.4 | 371.3 | 369.7 | |
| decile p20 | 379.4 | 357.2 | 378.8 | 396.4 | 432.6 | 421.5 | |
| decile p30 | 419.4 | 404.0 | 417.0 | 433.3 | 472.3 | 469.4 | |
| decile p40 | 450.3 | 435.9 | 449.2 | 459.6 | 491.3 | 497.2 | |
| decile p60 | 509.9 | 499.6 | 501.7 | 513.7 | 541.1 | 578.3 | |
| decile p70 | 540.3 | 530.1 | 535.0 | 542.8 | 573.0 | 613.9 | |
| decile p80 | 575.4 | 563.0 | 570.1 | 577.7 | 603.4 | 644.5 | |
| decile p90 | 621.1 | 599.5 | 621.3 | 617.2 | 639.7 | 712.2 | |
AWT: accelerometer wearing time, LPA: light physical activity, MVPA: moderate-to-vigorous physical activity, ST: sedentary time.
Table 2.
Tri-axial accelerometer-determined PA and ST by age groups in the women (n = 2327).
| Overall (n = 2327) | Age categories, yrs | ||||||
|---|---|---|---|---|---|---|---|
| 65–69 (n = 813) | 70–74 (n = 713) | 75–79 (n = 483) | 80–84 (n = 229) | ≥85 (n = 89) | p for Trend | ||
| Steps: | |||||||
| Mean (SD) | 5037 (2786) | 6104 (2901) | 5331 (2498) | 4230 (2323) | 3184 (2179) | 2105 (1627) | |
| Median | 4596 | 5539 | 5020 | 3885 | 2820 | 1696 | |
| AWT, min/day: | |||||||
| Mean (SD) | 849.9 (97.1) | 864.9 (91.6) | 851.3 (92.4) | 839.0 (105.1) | 829.6 (100.9) | 813.6 (103.7) | |
| Median | 845.8 | 861.7 | 851.7 | 830.5 | 819.3 | 809.2 | |
| MVPA, min/day: | |||||||
| Mean (SD) | 50.4 (35.7) | 65.5 (38.6) | 52.3 (32.3) | 39.6 (29.1) | 26.5 (22.2) | 18.5 (17.3) | <0.0001 |
| Median | 43.2 | 57.4 | 45.9 | 33.0 | 19.9 | 13.0 | |
| decile p10 | 11.3 | 24.1 | 18.9 | 8.0 | 4.0 | 2.9 | |
| decile p20 | 20.3 | 33.5 | 26.4 | 14.0 | 7.8 | 3.8 | |
| decile p30 | 28.6 | 41.1 | 33.1 | 19.9 | 12.3 | 7.3 | |
| decile p40 | 35.8 | 49.4 | 39.1 | 26.6 | 16.0 | 9.3 | |
| decile p60 | 51.8 | 65.9 | 53.0 | 40.9 | 26.5 | 17.2 | |
| decile p70 | 61.0 | 79.7 | 61.0 | 49.8 | 33.7 | 22.4 | |
| decile p80 | 76.9 | 96.0 | 75.8 | 60.9 | 41.3 | 32.0 | |
| decile p90 | 99.2 | 114.3 | 95.7 | 82.6 | 55.0 | 44.7 | |
| LPA, min/day: | |||||||
| Mean (SD) | 374.4 (85.7) | 391.4 (80.9) | 380.1 (81.0) | 364.5 (87.2) | 343.8 (88.6) | 306.5 (89.4) | <0.0001 |
| Median | 373.1 | 390.6 | 377.3 | 361.3 | 345.8 | 300.0 | |
| decile p10 | 266.1 | 287.8 | 280.8 | 255.3 | 235.1 | 186.7 | |
| decile p20 | 300.1 | 323.9 | 315.5 | 285.8 | 260.0 | 238.5 | |
| decile p30 | 329.6 | 349.9 | 334.9 | 319.6 | 293.6 | 266.7 | |
| decile p40 | 352.0 | 371.3 | 358.3 | 339.6 | 316.8 | 271.3 | |
| decile p60 | 395.0 | 411.0 | 402.0 | 382.4 | 367.3 | 325.9 | |
| decile p70 | 419.6 | 434.5 | 422.7 | 407.9 | 385.0 | 340.5 | |
| decile p80 | 448.1 | 459.6 | 449.8 | 442.5 | 411.9 | 386.6 | |
| decile p90 | 486.6 | 498.5 | 481.1 | 484.3 | 470.4 | 446.5 | |
| ST, min/day: | |||||||
| Mean (SD) | 425.1 (112.3) | 408.0 (107.4) | 418.9 (102.1) | 435.0 (122.4) | 459.3 (119.5) | 488.6 (112.9) | <0.0001 |
| Median | 417.9 | 405.4 | 409.4 | 424.2 | 450.1 | 487.3 | |
| decile p10 | 289.4 | 279.5 | 293.9 | 291.0 | 309.1 | 337.3 | |
| decile p20 | 333.4 | 314.4 | 337.0 | 338.8 | 364.6 | 399.8 | |
| decile p30 | 364.6 | 350.0 | 361.0 | 378.1 | 401.7 | 437.3 | |
| decile p40 | 392.1 | 376.8 | 385.0 | 400.3 | 429.0 | 473.4 | |
| decile p60 | 444.4 | 430.8 | 437.3 | 448.8 | 485.6 | 520.0 | |
| decile p70 | 476.6 | 456.8 | 467.4 | 483.0 | 511.4 | 540.7 | |
| decile p80 | 513.1 | 493.4 | 506.4 | 526.4 | 547.0 | 582.9 | |
| decile p90 | 565.4 | 544.4 | 550.3 | 572.5 | 611.8 | 605.9 | |
AWT: accelerometer wearing time, LPA: light physical activity, MVPA: moderate-to-vigorous physical activity, ST: sedentary time.
Table 3.
Tri-axial accelerometer-determined PA and ST by BMI groups in the men (n = 1671).
| Overall (n = 1671) | BMI categories, kg/m2 | |||||
|---|---|---|---|---|---|---|
| <18.5 (n = 73) | 18.5–24.9 (n = 1187) | 25.0–29.9 (n = 383) | ≥30.0 (n = 28) | p for Trend | ||
| Steps | ||||||
| Mean (SD) | 5701 (3398) | 4976 (2995) | 5888 (3323) | 5324 (3697) | 4820 (2503) | |
| Median | 5186 | 4699 | 5414 | 4692 | 4716 | |
| AWT, min/day: | ||||||
| Mean (SD) | 811.8 (94.2) | 810.8 (96.5) | 813.8 (94.2) | 807.0 (93.2) | 799.1 (105.0) | |
| Median | 802.8 | 807.7 | 803.4 | 799.6 | 773.4 | |
| MVPA, min/day: | ||||||
| Mean (SD) | 46.1 (34.0) | 36.1 (28.0) | 48.3 (34.3) | 42.1 (34.0) | 35.4 (22.6) | 0.06 |
| Median | 39.6 | 32.4 | 42.3 | 36.1 | 30.8 | |
| decile p10 | 9.5 | 6.5 | 10.0 | 9.0 | 7.0 | |
| decile p20 | 16.9 | 11.5 | 17.8 | 15.6 | 13.1 | |
| decile p30 | 24.3 | 14.8 | 25.7 | 22.1 | 17.5 | |
| decile p40 | 32.5 | 25.7 | 33.8 | 29.9 | 25.4 | |
| decile p60 | 48.1 | 38.5 | 51.6 | 41.8 | 43.4 | |
| decile p70 | 57.9 | 43.0 | 61.4 | 50.1 | 51.2 | |
| decile p80 | 70.3 | 49.4 | 74.1 | 61.4 | 57.0 | |
| decilep90 | 90.0 | 86.4 | 92.4 | 80.0 | 61.5 | |
| LPA, min/day: | ||||||
| Mean (SD) | 286.4 (87.8) | 294.2 (104.1) | 291.4 (86.0) | 272.4 (88.2) | 247.0 (85.5) | <0.0001 |
| Median | 283.6 | 282.2 | 289.3 | 269.6 | 234.2 | |
| decile p10 | 175.3 | 172.5 | 181.4 | 162.6 | 114.8 | |
| decile p20 | 210.5 | 228.8 | 215.2 | 198.3 | 177.6 | |
| decile p30 | 236.5 | 242.3 | 243.2 | 223.5 | 210.0 | |
| decile p40 | 260.6 | 254.4 | 267.0 | 247.3 | 215.8 | |
| decile p60 | 306.3 | 302.3 | 312.6 | 291.0 | 268.3 | |
| decile p70 | 330.4 | 343.0 | 334.7 | 309.8 | 285.0 | |
| decile p80 | 359.3 | 372.3 | 362.6 | 349.3 | 330.9 | |
| decile p90 | 398.8 | 445.5 | 403.0 | 383.8 | 378.4 | |
| ST, min/day: | ||||||
| Mean (SD) | 479.3 (122.5) | 480.4 (134.5) | 474.1 (121.6) | 492.5 (119.6) | 516.8 (148.0) | 0.0088 |
| Median | 478.0 | 488.6 | 473.3 | 493.6 | 493.2 | |
| decile p10 | 321.4 | 332.9 | 319.7 | 339.0 | 363.3 | |
| decile p20 | 379.4 | 376.8 | 371.8 | 404.3 | 391.0 | |
| decile p30 | 419.4 | 415.0 | 412.4 | 439.8 | 428.8 | |
| decile p40 | 450.3 | 452.5 | 445.4 | 470.6 | 449.1 | |
| decile p60 | 509.9 | 523.4 | 503.6 | 525.3 | 562.5 | |
| decile p70 | 540.3 | 547.6 | 535.4 | 550.5 | 586.5 | |
| decile p80 | 575.4 | 590.6 | 571.6 | 577.1 | 609.5 | |
| decile p90 | 621.1 | 621.3 | 621.8 | 615.6 | 654.3 | |
AWT: accelerometer wearing time, LPA: light physical activity, MVPA: moderate-to-vigorous physical activity, ST: sedentary time.
Table 4.
Tri-axial accelerometer-determined PA and ST by BMI groups in the women (n = 2327).
| Overall (n = 2327) | BMI Categories, kg/m2 | |||||
|---|---|---|---|---|---|---|
| <18.5 (n = 207) | 18.5–24.9 (n = 1547) | 25.0–29.9 (n = 505) | ≥30.0 (n = 68) | p for Trend | ||
| Steps | ||||||
| Mean (SD) | 5037 (2786) | 4964 (2867) | 5173 (2781) | 4736 (2759) | 4424 (2630) | |
| Median | 4596 | 4716 | 4774 | 4402 | 3861 | |
| AWT, min/day: | ||||||
| Mean (SD) | 849.9 (97.1) | 863.7 (97.4) | 848.1 (94.1) | 849.2 (104.8) | 854.9 (102.4) | |
| Median | 845.8 | 859.6 | 845.5 | 839.8 | 841.1 | |
| MVPA, min/day | ||||||
| Mean (SD) | 50.4 (35.7) | 51.6 (37.5) | 52.0 (35.5) | 46.4 (36.0) | 40.9 (28.9) | 0.0009 |
| Median | 43.2 | 44.9 | 45.0 | 38.8 | 35.7 | |
| decile p10 | 11.3 | 10.9 | 13.2 | 8.3 | 8.4 | |
| decile p20 | 20.3 | 20.8 | 21.7 | 17.1 | 14.6 | |
| decile p30 | 28.6 | 29.8 | 30.3 | 24.1 | 23.0 | |
| decile p40 | 35.8 | 36.0 | 37.2 | 33.5 | 32.3 | |
| decile p60 | 51.8 | 53.9 | 53.8 | 46.6 | 39.0 | |
| decile p70 | 61.0 | 60.8 | 63.3 | 56.6 | 49.9 | |
| decile p80 | 76.9 | 75.0 | 80.0 | 68.3 | 59.7 | |
| decilep90 | 99.2 | 100.6 | 101.0 | 93.1 | 84.2 | |
| LPA, min/day | ||||||
| Mean (SD) | 374.4 (85.7) | 396.3 (87.9) | 378.3 (84.4) | 357.3 (83.9) | 346.9 (94.8) | <0.0001 |
| Median | 373.1 | 395.8 | 377.1 | 354.4 | 340.2 | |
| decile p10 | 266.1 | 275.0 | 270.6 | 253.5 | 230.6 | |
| decile p20 | 300.1 | 327.0 | 307.8 | 284.0 | 266.9 | |
| decile p30 | 329.6 | 352.5 | 333.7 | 308.8 | 281.3 | |
| decile p40 | 352.0 | 371.3 | 356.3 | 333.6 | 311.5 | |
| decile p60 | 395.0 | 416.5 | 399.8 | 378.2 | 376.3 | |
| decile p70 | 419.6 | 444.6 | 423.4 | 396.6 | 389.8 | |
| decile p80 | 448.1 | 473.6 | 448.7 | 430.9 | 431.3 | |
| decilep90 | 486.6 | 509.0 | 487.6 | 468.3 | 466.4 | |
| ST, min/day | ||||||
| Mean (SD) | 425.1 (112.3) | 415.8 (104.6) | 417.8 (109.0) | 445.5 (120.0) | 467.1 (123.1) | <0.0001 |
| Median | 417.9 | 408.5 | 412.3 | 438.3 | 463.3 | |
| decile p10 | 289.4 | 291.2 | 285.4 | 301.6 | 365.0 | |
| decile p20 | 333.4 | 329.3 | 328.4 | 348.1 | 409.9 | |
| decile p30 | 364.6 | 355.6 | 359.9 | 380.8 | 436.9 | |
| decile p40 | 392.1 | 382.3 | 386.0 | 405.2 | 463.3 | |
| decile p60 | 444.4 | 431.1 | 438.6 | 466.9 | 507.0 | |
| decile p70 | 476.6 | 456.1 | 468.0 | 498.9 | 539.9 | |
| decile p80 | 513.1 | 496.8 | 505.1 | 541.1 | 566.9 | |
| decilep90 | 565.4 | 558.9 | 554.1 | 590.9 | 630.6 | |
AWT: accelerometer wearing time, LPA: light physical activity, MVPA: moderate-to-vigorous physical activity, ST: sedentary time.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
MDPI and ACS Style
Yatsugi, H.; Chen, T.; Chen, S.; Narazaki, K.; Nagayoshi, S.; Kumagai, S.; Kishimoto, H. Normative Data of Objectively Measured Physical Activity and Sedentary Time in Community—Dwelling Older Japanese. Int. J. Environ. Res. Public Health 2021, 18, 3577. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18073577
AMA Style
Yatsugi H, Chen T, Chen S, Narazaki K, Nagayoshi S, Kumagai S, Kishimoto H. Normative Data of Objectively Measured Physical Activity and Sedentary Time in Community—Dwelling Older Japanese. International Journal of Environmental Research and Public Health. 2021; 18(7):3577. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18073577
Chicago/Turabian StyleYatsugi, Harukaze, Tao Chen, Si Chen, Kenji Narazaki, Sho Nagayoshi, Shuzo Kumagai, and Hiro Kishimoto. 2021. "Normative Data of Objectively Measured Physical Activity and Sedentary Time in Community—Dwelling Older Japanese" International Journal of Environmental Research and Public Health 18, no. 7: 3577. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18073577
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
