日足P&Fの状況:(03月25日)~(03月29日)

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日足P&Fの状況:(03月25日)~(03月29日)
日足P&Fの状況:(03月25日)~(03月29日)
(随時追記していきます)


<ドル円> 
(03月06日、下に3枠転換。ロング151.00域、ショート145.50域から)
(03月14日、上に3枠転換。ロング151.00域、ショート146.00域から)
(03月20日、ロングサイン151.00域に到達)
<03月20日、151.00域><03月21日、151.50域>

<ユーロ円>
(03月08日、下に3枠転換。ロング164.00域、ショート158.00域から)
(03月19日、上に3枠転換。ロング164.00域、ショート159.00域から)
(03月20日、ロングサイン164.00域に到達)
<03月20日、165.00域>


<ユーロ米ドル>
(02月05日、ショートサイン1.0700域に到達)
<02月05日、1.0700域>

(02月26日、上に3枠転換。ロング1.1200域、ショート1.0650域から)


<豪ドル円>
(02月29日、下に3枠転換。ロング99.00域、ショート95.50域から)
(03月19日、上に3枠転換。ロング99.00域、ショート96.50域から)
(03月20日、ロングサイン99.00域に到達)
<03月20日、99.50域>


<ポンド円>
(03月20日、ロングサイン192.00域に到達)
<03月20日、193.00域>
(03月22日、下に3枠転換。ロング194.00域、ショート187.00域から)


<ポンドドル>
(09月21日、ショートサイン1.2200域に到達)
<09月21日、1.2200域><09月26日、1.2100域><10月02日、1.2000域>

(10月11日、上に3枠転換。ロング1.3200域、ショート1.1900域から)
(03月22日、下に3枠転換。ロング1.2900域、ショート1.1900域から)


<豪ドル米ドル>
(02月05日、ショートサイン0.6450域に到達)
<02月05日、0.6450域>

(03月07日、上に3枠転換。ロング0.6850域、ショート0.6400域から)


<ユーロポンド>

(10月19日、ロングサイン0.8700域に到達)
<10月19日、0.8700域><11月17日0.8750域>

(11月29日、下に3枠転換。ロング0.8800域、ショート0.8500域)

(P&F単位は、ユーロ円、ポンド円、ポンドドル、が100ポイント、その他50ポイントで1枠)

(個人的な見解ですので、投資は自己責任でお願いします。)

[紹介元] ポイント&フィギュアでFX 日足P&Fの状況:(03月25日)~(03月29日)

日足PampFの状況 03月25日

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.

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.

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: Good quality measures of Japanese adults' sedentary behaviors are needed to accurately assess correlates of specific sedentary behaviors. The present study assessed criterion validity of total sedentary behavior and test-retest reliability of six domain-specific sedentary behaviors. METHODS: We administered a questionnaire, based on previous studies, that measured domain-specific sedentary behaviors. To examine validity, agreement between self-reported time spent in sedentary behaviors from the questionnaire and objectively-measured sedentary time using accelerometers was compared among 392 adults (aged 40-64 years) in two Japanese cities. For reliability, a 2-week interval test-retest was administered to a convenience sample of 34 participants. RESULTS: The correlation between total self-reported and objectively measured sedentary time was significant (all P < 0.001) and fair-to-good for workdays (ρ = 0.57) and whole week (ρ = 0.49), but was low for non-workdays (ρ = 0.23). The difference between the two measures was significant for whole week (z = -2.25, P = 0.03) and non-workdays (z = -5.50, P < 0.001), but was not significant for workdays (z = -0.60, P = 0.55). There was a significant positive association between the difference in the two measures and the average of these two measures (workdays: r = 0.53; non-workdays: r = 0.45; and whole week: r = 0.54, all P < 0.001). There was fair-to-good test-retest reliability of total sedentary time for each domain (workdays: interclass correlation coefficient [ICC] = 0.77, non-workdays: ICC = 0.53, and whole week: ICC = 0.7; all P < 0.01). CONCLUSIONS: The scale of domain-specific sedentary behaviors is reliable for estimating where and for what purpose Japanese adults spend their sedentary time, and total sedentary time is valid for workdays and the whole week.

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!

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.

Differences in recess physical activity (PA) according to perceived school environment among elementary school children were examined. Participants were 103 children from two schools in Japan. PA was measured using accelerometry for seven consecutive days. Time spent in sedentary or PA (light, moderate, or vigorous) during their morning recess (25 min) and lunch recess (15 min) was determined. The School Physical Activity Environment Scale (three factors: equipment, facility, and safety) was used to investigate perceived school environment. Environmental factor scores were assigned to low or high groups for each factor by median. An analysis of covariance, with grade as the covariate, was conducted separately by gender to examine differences in PA between two groups. During lunch recess, boys in the high-equipment group spent significantly more time in moderate PA (high: 1.5; low: 0.8 min) whereas girls in this group spent less time in light PA (9.3, 11.0). Boys in the high-facility group spent significantly less time in sedentary (2.3, 3.9) and more time in vigorous PA (2.4, 1.4) during lunch recess, and girls spent more time in moderate (2.1, 1.2) and vigorous PA (1.9, 1.3) during morning recess. Differences were observed in recess PA according to school environment perceptions. The present study may be useful for further intervention studies for the promotion of PA during recess.

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。

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.

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.

Background: The present study examined the cluster of domain-specific sedentary behaviors (SBs) and their associations with physical function among community-dwelling older adults to identify the target groups that require intervention for SBs. Methods: A total of 314 older adults who participated in a population-based cross-sectional survey and an on-site functional assessment in Matsudo City in Chiba participated in this study. Participants were asked to report the daily average of 6 domain-specific SBs. To identify the cluster of domain-specific SBs, hierarchical cluster analysis was performed using the Ward method. Analysis of covariance adjusted for sociodemographic factors, exercise habit, chronic disease, and total SB time was performed to examine the associations between each cluster and physical functional status. Results: The average age of the participants was 74.5 (5.2) years. The 4 clusters identified were leisure cluster, low cluster, work and personal computer use cluster, and television viewing cluster. The analysis of covariance adjusted for covariates showed that grip strength (P = .01), maximum walking speed (P = .03), and 1-leg standing time (P = .03) were significantly poorer in the television viewing cluster than other clusters. Conclusions: It has been concluded that the television viewing group identified as a high-risk group of physical functional decline; therefore, interventions targeting this group are needed to prevent physical functional decline.

同店は、2003年のブランド創立後、ヨーロッパを中心に47カ国に約400店舗を展開するインテリアブランド。日本では、昨年4月に「ららぽーと横浜」と「グランフロント大阪」に2店同時出店した。都内では表参道が1号店となる。

さっそく調べてみたところ、商品名は「デジタルコードレス電話機(VE-GDW03DL)」。手持ちのスマホに専用アプリをインストールし、親機を無線LAN環境に接続すれば、スマホが家の電話(VE-GDW03DL)の子機として使えるというもの。つまり、家族団らん中や作業中に固定電話に着信があった場合でも、手元のスマホを使って自分の都合の良い場所で電話に出られるというわけだ。

Background: Understanding the long-term effects of environment on health behavior is important for the promotion of population-based physical activity.Purpose: The purpose of this study was to examine the relationship between perceived environment and active commuting among Japanese adults.Methods: Internet-based cross-sectional survey were conducted to 3,000 Japanese adults aged 30-59 years. Seven sociodemographic attributes (gender, age, marital status, employment status, living status, educational attainment and household income), type of commute and International Physical Activity Questionnaire Environment Module were assessed by self-administered questionnaire.Results: Of all respondents to the survey, 2,032 (mean age: 43.8±9.2, male: 62.5%) were employed. Those who use an active commute were 1,401 (68.9%). In both genders, high residential density (male: OR=2.28, female: OR=3.08), good access to shops (OR=2.03, 3.06), public transportation (OR=1.65, 3.78), recreational facilities (OR=1.31, 1.44), presence of sidewalks (OR=1.42, 1.77), crossroads (OR=1.87, 1.76), having a destination (OR=1.84, 2.34), and not having household vehicles (OR=15.13, 41.24) were associated with an active commute. The results indicated some gender differences. Among male, the presence of a bicycle lane and good aesthetics was positively associated with the active commute, while traffic safety was negatively associated. On the other hand, crime safety was associated with the active commute in female.Conclusion: The results indicate that perceived environment was associated with the active commute among Japanese adults.

Examining the associations of eHealth literacy (eHL) with obtaining health knowledge from websites would help to clarify the causal pathway between eHL and health knowledge. This study aimed to compare the results obtained from Internet users with high or low eHL in accessing a reputable cancer website to obtain colorectal cancer (CRC) knowledge. A total of 105 participants with high eHL and 103 participants with low eHL accessed a reputable CRC website managed by the National Cancer Center and responded to Internet-based surveys before and after accessing a website in 2012. Twelve responses to knowledge statements regarding CRC were selected based on item response theory, and the differences in correct responses of pre- and post-surveys by each eHL group were compared. Two statements showed a significant increase in correct responses in the high eHL group only: "Red meat intake is a risk factor" (p = 0.002), and "Obesity is a risk factor" (p = 0.029), whereas only one response did so in the low eHL group: "Bloody stools are a symptom" (p = 0.004). Low eHL Internet users appeared less capable of obtaining knowledge of CRC by accessing information from a reputable cancer website than high eHL Internet users.

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