Tri-Axial Accelerometer-Determined Daily Physical Activity and Sedentary Behavior of Suburban Community-Dwelling Older Japanese Adults.

Knowledge regarding accelerometer-derived physical activity (PA) and sedentary behavior (SED) levels is scarce for Japanese older adults. The aims of this study were therefore to 1) describe levels of PA and SED in Japanese community-dwelling older adults, using tri-axial accelerometer; 2) examine the variation of PA and SED with respect to sex, age, and body mass index (BMI). Participants of this study were from the baseline survey of the Sasaguri Genkimon Study, who were 65 years or older and not certified as those requiring long-term care. PA was assessed objectively for seven consecutive days using tri-axial accelerometer. A total of 1,739 participants (median age: 72 years, men: 38.0%) with valid PA data were included. Overall, participants in the present study spent 54.5% of their waking time being sedentary and 45.5% being active, of which 5.4% was moderate-to-vigorous physical activity (MVPA). Women accumulated more minutes of light physical activity (LPA) and MVPA compared with men. In contrast, men spent more time being sedentary. Mean steps per day did not differ between sexes. Furthermore, participants with higher BMI (BMI ≥25) had lower PA levels, and longer SED compared with those with lower BMI (BMI <). PA levels were lower and SED was longer with age. The present study is the first to demonstrate that the levels of PA and SED differed by sex, age, and BMI in Japanese community-dwelling older adults. In particular, women were more active compared with men, providing unique insight into the current level of PA in older adults. Data presented in the study will enable further investigation of additional determinants of PA and SED in order to develop effective population-based intervention strategies to promote PA and reduce prolonged SED in the Japanese population and possibly other rapidly aging societies. Key pointsAccelerometer, that is capable to assess PA more precisely in large scale epidemiological studies, provides opportunity for improving understanding of daily PA in older adults.This study first demonstrated that the levels of PA and SED differed by sex, age, and BMI in Japanese community-dwelling older people.Women were more active compared with men, in terms of more minutes of MVPA.

[1]  Dale W Esliger,et al.  Accelerometer assessment of physical activity in active, healthy older adults. , 2009, Journal of aging and physical activity.

[2]  K. Yonemoto,et al.  Physical Fitness Measures as Potential Markers of Low Cognitive Function in Japanese Community-Dwelling Older Adults without Apparent Cognitive Problems. , 2014, Journal of sports science & medicine.

[3]  D. Bassett,et al.  Estimating energy expenditure using accelerometers , 2006, European Journal of Applied Physiology.

[4]  A. Chagpar,et al.  Adherence to Physical Activity Guidelines in Breast Cancer Survivors , 2010, The American surgeon.

[5]  Y. Oshima,et al.  Classifying household and locomotive activities using a triaxial accelerometer. , 2010, Gait & posture.

[6]  Holly Tuokko,et al.  Direct and indirect measurement of physical activity in older adults: a systematic review of the literature , 2012, International Journal of Behavioral Nutrition and Physical Activity.

[7]  P. Freedson,et al.  Validity of accelerometry for the assessment of moderate intensity physical activity in the field. , 2000, Medicine and science in sports and exercise.

[8]  Takako Tsutsui,et al.  Care‐Needs Certification in the Long‐Term Care Insurance System of Japan , 2005, Journal of the American Geriatrics Society.

[9]  S. Anderssen,et al.  Accelerometer-determined physical activity in adults and older people. , 2012, Medicine and science in sports and exercise.

[10]  Catrine Tudor-Locke,et al.  Normative steps/day values for older adults: NHANES 2005-2006. , 2013, The journals of gerontology. Series A, Biological sciences and medical sciences.

[11]  I-Min Lee,et al.  Using accelerometers to measure physical activity in large-scale epidemiological studies: issues and challenges , 2013, British Journal of Sports Medicine.

[12]  C. Matthews,et al.  Too much sitting: the population health science of sedentary behavior. , 2010, Exercise and sport sciences reviews.

[13]  Shigeho Tanaka,et al.  Evaluation of Low‐Intensity Physical Activity by Triaxial Accelerometry , 2007, Obesity.

[14]  C. Matthews,et al.  Association of Sedentary Time with Mortality Independent of Moderate to Vigorous Physical Activity , 2012, PloS one.

[15]  D. Buchner,et al.  Objective Measurement of Physical Activity and Sedentary Behavior Among US Adults Aged 60 Years or Older , 2011, Preventing chronic disease.

[16]  Kenneth R Fox,et al.  Objectively measured physical activity in a diverse sample of older urban UK adults. , 2011, Medicine and science in sports and exercise.

[17]  W Jack Rejeski,et al.  Promoting physical activity for older adults: the challenges for changing behavior. , 2003, American journal of preventive medicine.

[18]  Objectively measured physical activity and hearing sensitivity , 2011 .

[19]  Elin Kolle,et al.  Accelerometer-determined physical activity and self-reported health in a population of older adults (65–85 years): a cross-sectional study , 2014, BMC Public Health.

[20]  B. Ainsworth,et al.  Physical activity patterns, assessment, and motivation in older adults , 2002 .

[21]  P. Whincup,et al.  Adherence to physical activity guidelines in older adults, using objectively measured physical activity in a population-based study , 2014, BMC Public Health.

[22]  D. Schoeller,et al.  Intensity of physical activity in the energy expenditure of older adults. , 2014, Journal of aging and physical activity.

[23]  Naoki Ikegami,et al.  Population ageing and wellbeing: lessons from Japan's long-term care insurance policy , 2011, The Lancet.

[24]  Sungjin Park,et al.  Sex, age, season, and habitual physical activity of older Japanese: the Nakanojo study. , 2008, Journal of aging and physical activity.

[25]  D. Nieman,et al.  Objective Light-Intensity Physical Activity Associations With Rated Health in Older Adults , 2011 .

[26]  B E Ainsworth,et al.  Compendium of physical activities: an update of activity codes and MET intensities. , 2000, Medicine and science in sports and exercise.

[27]  Scott B Going,et al.  Relationship of sedentary behavior and physical activity to incident cardiovascular disease: results from the Women's Health Initiative. , 2013, Journal of the American College of Cardiology.

[28]  B E Ainsworth,et al.  Validity of four motion sensors in measuring moderate intensity physical activity. , 2000, Medicine and science in sports and exercise.

[29]  K. Yonemoto,et al.  Normative Data for the Montreal Cognitive Assessment in a Japanese Community-Dwelling Older Population , 2012, Neuroepidemiology.

[30]  R. Pedone,et al.  Normative data for the Montreal Cognitive Assessment in an Italian population sample , 2015, Neurological Sciences.

[31]  KR Westerterp,et al.  Physical inactivity as a determinant of the physical activity level in the elderly , 2001, International Journal of Obesity.

[32]  P S Freedson,et al.  Calibration of the Computer Science and Applications, Inc. accelerometer. , 1998, Medicine and science in sports and exercise.

[33]  R. Shephard Limits to the measurement of habitual physical activity by questionnaires , 2003, British journal of sports medicine.

[34]  V. Gudnason,et al.  Objective measurements of daily physical activity patterns and sedentary behaviour in older adults: Age, Gene/Environment Susceptibility-Reykjavik Study. , 2013, Age and ageing.

[35]  Carmen Castaneda-Sceppa,et al.  Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association. , 2007, Circulation.

[36]  D. Alter,et al.  Sedentary Time and Its Association With Risk for Disease Incidence, Mortality, and Hospitalization in Adults , 2015, Annals of Internal Medicine.

[37]  S. Seino,et al.  Association between habitual light‐intensity physical activity and lower‐extremity performance: A cross‐sectional study of community‐dwelling older Japanese adults , 2015, Geriatrics & gerontology international.