日足P&Fの状況：（03月31日）～（04月04日）

スマホ4台まで登録可能という「VE-GDW03DL」。自宅滞在率が高い人には便利なアイテムかも！

認知的方略は、運動に関する文献において、興味深い方略とされてきた。われわれは、2つの主要な認知的方略である、連合的方略と分離的方略に注目した。連合的方略は、課題 (運動) への集中を指し、分離的方略は、課題から注意をそむけることを意味する (Stevinson & Biddle, 1998)。競技スポーツに関する多くの文献があるにも関わらず、非競技場面で認知的方略を用いた運動を行う際の心理学的状態については、ほとんど明らかにされていない。本研究は、非競技場面において、認知的方略を用いた一過性運動の心理学的状態にもたらす効果を検討した。16名の被験者が集められ、カウンタ・バランスされた2つの条件、連合的方略条件と分離的方略条件に参加した。両方の運動条件において、被験者は中等度の強度による10分間のサイクリング運動を行った。運動前、ウォームアップ時、運動終了直後、および運動終了5分後において、被験者は、Waseda Affect Scale of Exercise and Durable Activity (WASEDA; 荒井他、2003b) とFeeling Scale (FS; Rejeski, 1985) という2つの運動固有尺度の評価を行った。分散分析は、両方の条件が高揚感、落ち着き感、および快感情を増加させることを示した。そして、分離的方略を用いた運動は、連合的方略を用いた運動と比較して、10分間の運動終了直前における快感情を増加させることを明らかにした。

楽天でんわは「0037-68」＋相手先番号で利用が可能。G-CALLは登録すると付与される4桁の数字（プレフィックス）＋相手先番号で利用可能となる。両サービスとも専用アプリのダウンロードが必須。

Background: In addition to insufficient moderate-to-vigorous physical activity (MVPA), prolonged sitting time is also a health risk for older adults. An understanding of population subgroups who have prolonged television viewing (TV) time, a predominant sedentary behavior, can aid in the development of relevant health promotion initiatives; however, few such studies have focused on older adults, the most sedentary segment of the population as a whole. The aim of this study is to examine the socio-demographic attributes associated with TV time among community-dwelling Japanese older men and women.Methods: A population-based, cross-sectional mail survey was used to collect data on TV time, MVPA, and socio-demographic characteristics. The survey was conducted from February through March 2010. Participants were 2700 community-dwelling older adults (aged 65-74 years, 50% men) who were randomly selected from the registry of residential addresses of three cities in Japan. Data from 1665 participants (mean age: 69.5 years, 52% men) who completed all variables for the present study were analyzed. Multivariate logistic regression analyses were used to calculate the odds ratios (ORs) of prolonged TV time (2 hours/day) for each socio-demographic attribute, stratified by gender.Results: Of the 1665 participants, 810 (48.6%) watched TV for more than 2 hours/day. The median television viewing time (25th, 75th percentile) was 2.00 (1.07, 3.50) hours/day. Prolonged TV time was associated with not in full-time employment, lower educational attainment, weight status, living in regional areas and low MVPA for the whole sample. For men, prolonged TV time was associated with lower educational attainment; (OR = 1.53, 95% CI: 1.12 2.07), underweight (OR = 1.63, 95% CI: 1.02-2.60), overweight (OR = 1.57, 95% CI: 1.11-2.21), and low MVPA (OR = 1.43, 95% CI: 1.02-2.02). For women, living in regional areas (OR = 2.02, 95% CI: 1.33-3.08), living alone (OR = 1.61, 95% CI: 1.03-2.49), not driving (OR = 1.79, 95% CI 1.21-2.65), overweight (OR = 1.50, 95% CI: 1.00-2.24), and low MVPA (OR = 1.51. 95% CI: 1.05-2.17) were associated with prolonged TV time.Conclusions: These findings identify particular socio-demographic and behavioral characteristics related to TV time among Japanese older adults. It should be noted that correlates of prolonged TV time differed by gender. Women in living situations with limited transportation options tended to spend prolonged time watching TV. Health promotion initiatives for older adults, particularly for older women, may be more effective if they take these attributes into account.

Background: Concern over the health risks of sedentary behavior has highlighted the need to examine factors associated with screen-based (television/computer) sedentary behavior. The present study examined the association of screen-based sedentary behavior with body weight and sociodemographic attributes among Japanese adults. Methods: A population-based cross-sectional study enrolled 1034 Japanese adults aged 40 to 69 years who lived in 2 Japanese cities. Sociodemographic variables, height, weight, and time spent on screen-based sedentary behavior were collected by self-administered questionnaire. Differences in screen time in relation to body mass index and weight gain since age 20 years were assessed by the Mann-Whitney U test. Independent associations of each variable with screen time were examined by forced-entry logistic regression analyses. Results: Mean (SD) age and median (interquartile range) duration of screen time per week were 55.6 (8.4) years and 832.0 (368.8-1263.1) minutes, respectively, for men, and 55.3 (8.4) years and 852.6 (426.0-1307.5) minutes, respectively, for women. Screen time among participants with weight gain was longer than among those with a weight gain of less than 10 kg (P = 0.08). Unmarried and unemployed participants had longer screen times. Participants aged 40 to 49 years were less likely than older age groups to spend time on screen-based sedentary behavior during leisure hours. Conclusions: The present findings imply that strategies are necessary to discourage screen-based sedentary behavior among all demographic groups, especially among adults who are elderly, unmarried, or unemployed. © 2013 Kaori Ishii et al.

BackgroundUnderstanding factors contributing to an individual reducing screen time is essential for promoting a healthy weight. Parents’ behavior affects children by influencing their daily decision-making through modeling, rules or restrictions, social support, and co-participation. We examined how the direct and indirect effects of parents’ and children’s behaviors regarding screen time influenced body mass index (BMI) among Japanese elementary school children.MethodsWe included 283 Japanese children, one child per household, aged 6–12 years, who were randomly selected from resident registries of two cities. The questionnaires were completed by children and their mothers and fathers. Screen time and sociodemographic attributes, including sex, age, employment status, height, and weight, were assessed using a mail-based survey. Path analyses were conducted to determine associations among children’s, fathers’, and mothers’ variables. It was hypothesized that after controlling for household income and children’s sex and age, mothers’ and fathers’ screen time on weekdays and weekends would be related to children’s weekdays and weekend screen time, respectively. In addition, we hypothesized that children’s weekday and weekend screen time was related to children’s BMI.ResultsBoth fathers’ and mothers’ weekday screen times were associated with children’s weekday and weekend screen times. BMI was affected by children’s weekday screen time (0.117). The path coefficients for the indirect effects of mothers’ and fathers’ screen time on children’s BMI through children’s weekday screen time were 0.016 from the fathers’ weekday screen time and 0.024 from the mothers’ weekday screen time (GFI = .980, AGFI = .953, RMSEA = .030, AIC = 93.030).ConclusionsBoth fathers’ and mothers’ weekday screen times indirectly affected children’s BMI through children’s weekday screen time among Japanese elementary school children. The strongest indirect effects could be seen by examining the paths of a mother’s weekday screen time through children’s screen time to BMI. Mothers who spend much time with their children are role models, and their behavior could affect the child’s behavior. The findings imply that intervention strategies to reduce screen time in children should also focus on modeling the mothers’ behavior.

Although it is crucial to examine the environmental correlates of physical activity (PA) for developing more effective interventions for overweight populations, limited studies have investigated differences in the environmental correlates on body mass index (BMI). The purpose of the present study was to examine the perceived environmental correlates of PA among normal-weight and overweight Japanese men. Data were analyzed for 1,420 men (aged 44.4 +/- 8.3 years), who responded to an internet-based cross-sectional survey of answering the short version of the International Physical Activity Questionnaire and its Environment Module. Binary logistic regression analyses were utilized to examine the environmental factors associated with meeting the PA recommendation (150 minutes/week) between the normal-weight and overweight men. After adjusting for socio-demographic variables, common and different environmental correlates of PA were observed among normal-weight and overweight men. Furthermore, significant interactions regarding PA were observed between BMI status and two environmental correlates: access to public transportation (P = 0.03) and crime safety during the day (P = 0.01). The results indicated that BMI status is a potential moderator between perceived environmental factors and PA and suggested that different environmental intervention approaches should be developed for overweight populations.

OBJECTIVES:According to the interim report "National Health Promotion in the 21st Century (Healthy Japan 21)", the Exercise and Physical Activity Guide for Health Promotion 2006 (EPAGH2006) is an im-portant resource in the field of physical activity in Japan. A previous study (Higo & Nakamura, 2008) showed that although the awareness level of EPAGH2006 was lower than for other health pro-motion policies (e.g., Healthy Japan 21), the proportion of people who walked regularly was higher in the EPAGH2006 awareness group than in the no-awareness group. This result indicates that pro-motion of EPAGH2006 would contribute to increase in the number of physically active people. The purpose of the present study was to identify longitudinal change in awareness of EPAGH2006, and to examine the relationship with levels of physical activity.;METHODS:The subjects were 1,100 Japanese adults (mean [SD], 39.8 [10.1 years) recruited from among the registrants of a Japanese social research company. This longitudinal study was conducted using online questionnaires in surveys in November 2007 (T1) and December 2008 (T2). The awareness level of EPAGH2006 was assessed with 3 choices, i.e., good understanding, awareness and no-awareness. The International Physical Activity Questionnaire short Version (Craig et al., 2003; Murase et al., 2002) was used to estimate the amount of physical activity that the subjects engaged in. The Mann-Whitney test was utilized to assess inter-group differences in changes in the amount of physical activity between the understanding and no-awareness groups.;RESULTS:The proportion of those who fully understood EPAGH2006 was 1.4% at T1 and 2.2%0 at T2 and did not significantly increase. The physical activity level in the understanding group at T2 was significantly decreased compared with the no-awareness groups at both T1 and T2 (p=0.013).;CONCLUSION:The lack of increase in the awareness level between the two time points suggests that dissemination of EPAGH2006 has not been effective. A more strategic approach would appear to be required. However, the results also did not indicate that the awareness level of EPAGH2006 had a positive in-fluence on physical activity. Further studies, conducted when the awareness levels improve, may elucidate the relationship between the levels of EPAGH2006 awareness and physical activity.

BACKGROUND: Differences in accelerometer-measured sedentary behavior and different physical activity (PA) intensities between men and women have been poorly described. The authors examined gender differences in time-use activity composition and total volume of PA. METHODS: A cross-sectional mail survey was conducted from 2013 to 2015 with a randomized sample of 6000 middle-aged (40-64 y) community-dwelling Japanese adults living in urban and regional cities. Participants wore Active style Pro HJA-350IT on their waist for 7 consecutive days. Gender differences in activity time use was examined using compositional data analysis to control for time spent in all activity measures. RESULTS: In total, 757 participants (303 men, 52.3 [7.1] y) with valid data were included in the analysis. Women spent on average 12.6% less time in sedentary behavior and 23.4% more time in light-intensity PA than men, whereas no significant difference was found for moderate to vigorous PA. Women accumulated a significantly greater volume of PA than men (17.8 vs 15.0 metabolic equivalent of task h/d). CONCLUSIONS: Japanese middle-aged women showed higher levels of PA than men because they spent more time in light-intensity PA. Given the health benefits of light-intensity PA, evaluating only moderate to vigorous PA may lead to an underestimation of women's participation in PA.

BACKGROUND: Sedentary behaviors and physical activity are likely to be affected by the COVID-19 outbreak, and sedentary lifestyles can increase subjective fatigue. The nonpharmaceutical policies imposed as a result of the COVID-19 pandemic may also have adverse effects on fatigue. OBJECTIVE: This study has two aims: to examine the changes in sedentary behaviors and physical activity of company workers in response to the COVID-19 pandemic in Japan and to examine relationships between changes in these sedentary behaviors and physical activity and changes in fatigue. METHODS: Data from a nationwide prospective online survey conducted in 2019 and 2020 were used. On February 22, 2019, an email with a link to participate in the study was sent to 45,659 workers, aged 20 to 59 years, who were randomly selected from a database of approximately 1 million individuals. A total of 2466 and 1318 participants, who self-reported their occupation as company workers, answered the baseline and follow-up surveys, respectively. Surveys captured fatigue, workday and daily domain-specific sedentary behaviors and physical activity, and total sedentary behaviors and physical activity. We used multivariable linear regression models to estimate associations of changes in sedentary behaviors and physical activity with changes in fatigue. RESULTS: Increases in public transportation sitting during workdays, other leisure sitting time during workdays, and other leisure sitting time were associated with an increase in the motivation aspect of fatigue (b=0.29, 95% CI 0-0.57, P=.048; b=0.40, 95% CI 0.18-0.62, P<.001; and b=0.26, 95% CI 0.07-0.45, P=.007, respectively). Increases in work-related sitting time during workdays, total sitting time during workdays, and total work-related sitting time were significantly associated with an increase in the physical activity aspect of fatigue (b=0.06, 95% CI 0-0.12, P=.03; b=0.05, 95% CI 0.01-0.09, P=.02; and b=0.07, 95% CI 0-0.14, P=.04, respectively). The motivation and physical activity aspects of fatigue increased by 0.06 for each 1-hour increase in total sitting time between baseline and follow-up (b=0.06, 95% CI 0-0.11, P=.045; and b=0.06, 95% CI 0.01-0.10, P=.009, respectively). CONCLUSIONS: Our findings demonstrated that sedentary and active behaviors among company workers in Japan were negatively affected during the COVID-19 outbreak. Increases in several domain-specific sedentary behaviors also contributed to unfavorable changes in workers' fatigue. Social distancing and teleworking amid a pandemic may contribute to the sedentary lifestyle of company workers. Public health interventions are needed to mitigate the negative effects of the COVID-19 pandemic or future pandemics on sedentary and physical activity behaviors and fatigue among company workers.

Various accelerometers have been used in research measuring physical activity (PA) and sedentary behavior (SB). This study compared two triaxial accelerometers—Active style Pro (ASP) and ActiGraph (AG)—in measuring PA and SB during work and nonwork days in free-living conditions. A total of 50 working participants simultaneously wore these two accelerometers on one work day and one nonwork day. The difference and agreement between the ASP and AG were analyzed using paired t-tests, Bland–Altman plots, and intraclass coefficients, respectively. Correction factors were provided by linear regression analysis. The agreement in intraclass coefficients was high among all PA intensities between ASP and AG. SB in the AG vertical axis was approximately 103 min greater than ASP. Regarding moderate-to-vigorous-intensity PA (MVPA), ASP had the greatest amount, followed by AG. There were significant differences in all variables among these devices across all day classifications, except for SB between ASP and AG vector magnitude. The correction factors decreased the differences of SB and MVPA. PA time differed significantly between ASP and AG. However, SB and MVPA differences between these two devices can be decreased using correction factors, which are useful methods for public health researchers.

Maximum gait speed and physical activity (PA) relate to mortality and morbidity, but little is known about gender-related differences in these factors in elderly hospitalized cardiac inpatients. This study aimed to determine differences in maximum gait speed and daily measured PA based on sex and the relationship between these measures in elderly cardiac inpatients. A consecutive 268 elderly Japanese cardiac inpatients (mean age, 73.3 years) were enrolled and divided by sex into female (n=75, 28%) and male (n=193, 72%) groups. Patient characteristics and maximum gait speed, average step count, and PA energy expenditure (PAEE) in kilocalorie per day for 2 days assessed by accelerometer were compared between groups. Gait speed correlated positively with in-hospital PA measured by average daily step count (r=0.46, P<0.001) and average daily PAEE (r=0.47, P<0.001) in all patients. After adjustment for left ventricular ejection fraction, step counts and PAEE were significantly lower in females than males (2651.35±1889.92 vs 4037.33±1866.81 steps, P<0.001 52.74±51.98 vs 99.33±51.40 kcal, P<0.001), respectively. Maximum gait speed was slower and PA lower in elderly female versus male inpatients. Minimum gait speed and step count values in this study might be minimum target values for elderly male and female Japanese cardiac inpatients.

The purpose of this cross-sectional study is to investigate the difference in physical activity among elderly living in different areas in Japan ("Bunkyo Ward in Tokyo" (Bunkyo) and "Fuchu City in Tokyo" (Fuchu) as urban areas, and "Oyama Town in Shizuoka" (Oyama) as a non-urban area). Participants were 1859 community-dwelling residents aged 65-74 years, randomly selected from the residential registry (response rate: 68.9%). A mail survey using self-administered questionnaires was conducted. Multivariate logistic regression analyses were used to calculate the adjusted odds ratios (ORs) and 95% confidence intervals (95% CI) of various types of physical activity (eg, walking (Walking), going out (Going-out), bicycling (Bicycling), exercise habits (Exercise)), according to residential areas (reference category: Fuchu), stratified by gender, adjusting for socio-demographic variables. There was a significant difference in Going-out (ORs = 0.61 (95% CI: 0.44-0.86) for men, 0.48 (0.33-0.69) for women)), and Bicycling (0.04 (0.03-0.07) for men, 0.04 (0.02-0.07) for women) in Oyama compared to Fuchu. Furthermore, for women, there was a significant difference in Walking (0.56 (0.38-0.81)) and Exercise (0.59 (0.41-0.85)) in Oyama compared to Fuchu. There was a significant difference in Bicycling and Going-out for men in Bunkyo compared to Fuchu, but there was not a significant difference in other items. Low physical activity levels were observed in the elderly in the non-urban area compared to urban areas. The association was stronger in women. Regional difference might need to be taken into account for an effective physical activity intervention.

目的：本研究の目的は休み時間に用具を提供することによる小学校児童の身体活動への効果を検討することである。
方法：介入校（n＝39）及び統制校（n＝59）の各1校の小学校に在籍する5年生合計98名（男子63名）を対象とし介入研究を行った。介入校にはバレーボールや楕円球などのボールを用具として提供した。身体活動の測定には加速度計を用い、用具提供前とその3ヵ月後に測定を行った。業間休み、昼休み、平日1日の座位行動、低強度身体活動、中等度身体活動、高強度身体活動を評価した。介入校と統制校における用具提供3ヵ月後の身体活動の差を検討するため、性、BMI、用具提供前の身体活動を共変量とした共分散分析を行った。
結果：分析対象者は、介入群では業間休みが23名（男子13名）、昼休みが25名（15名）、1日全体では18名（男子10名）、統制群は業間休みが41名（男子28名）、昼休みが42名（29名）、1日全体では37名（男子26名）であった。業間の休み時間において、介入群は統制群と比較し、有意に座位行動［F（1, 62）＝7.70；p＝0.01］及び高強度身体活動の割合［F（1, 62）＝6.31；p＝0.02］が低く、低強度身体活動の割合［F（1, 62）＝28.73；p＜0.01］が高かった。昼休みでは、介入群は座位行動の割合［F（1, 65）＝18.36；p＜0.01］が低く低強度身体活動の割合［F（1, 65）＝17.11；p＜0.01］が有意に高かった。また、1日全体では介入群の方が統制群よりも有意に中等度身体活動の実施割合［F（1, 53）＝5.06；p＝0.03］が高かった。
結論：休み時間に使用できる用具を提供することは、身体活動レベルの高さに影響を与えていた。本研究より、用具の提供は休み時間及び1日の身体活動促進に貢献することが示された。

Background: Inconsistent associations of neighbourhood walkability with adults' body weight have been reported. Most studies examining the relationships of walkability and adiposity are cross-sectional in design. We examined the longitudinal relationships of two walkability indices - conventional walkability and space syntax walkability, and their individual components, with weight change among adults over four years. Methods: Data were from the Physical Activity in Localities and Community study in Adelaide, Australia. In 2003-2004, 2650 adults living in 154 Census Collection Districts (CCDs) returned baseline questionnaires in 2007-2008, the follow-up survey was completed by 1098. Participants reported their weight at baseline and at follow-up. Neighbourhood walkability indices were calculated using geographic information systems and space syntax software. Linear marginal models using generalized estimating equations with robust standard errors were fitted to examine associations of the two walkability indices and their individual components with the weight at follow-up, adjusting for baseline weight, socio-demographic variables, and spatial clustering at the level of CCD. Results: The overall mean weight gain over four years was 1.5 kg. The two walkability indices were closely correlated (r = 0.76, p < 0.01). No significant associations were found between the overall neighbourhood walkability indices and weight change. Among walkability components, there was a marginally significant negative association between space syntax measure of street integration and weight change: one standard deviation increment in street integration was associated with 0.31 kg less weight gain (p = 0.09). Conclusions: Using a prospective study design and a novel space-syntax based measure of walkability, we were not able to identify relationships between neighbourhood walkability with weight gain. This is consistent with other inconclusive findings on the built environment and obesity. Research on the built environment and adults' weight gain may need to consider not just local environments but also a larger scale environment within a city or workplace environment in order to capture multiple behaviours relevant to weight gain.