日足P&Fの状況:(09月16日)~(09月20日)

FXブログ
日足P&Fの状況:(09月16日)~(09月20日)
日足P&Fの状況:(09月16日)~(09月20日)
(随時追記していきます)


<ドル円> 
(08月30日、上に3枠転換。ロング149.00域、ショート143.00域から)
(09月02日、下に3枠転換。ロング147.00域、ショート143.00域から)
(09月05日、ショートサイン143.00域に到達)
<09月05日、143.00域><09月06日、142.00域><09月12日、141.50域>
<09月13日、140.50域>

<ユーロ円>
(08月07日、上に3枠転換。ロング176.00域、ショート156.00域から)
(08月28日、下に3枠転換。ロング164.00域、ショート156.00域から)
(09月10日、ショートサイン156.00域に到達)
<09月11日、156.00域>


<ユーロ米ドル>
(08月05日、ロングサイン1.0950域に到達)
<08月05日、1.0950域><08月14日、1.1000域><08月19日、1.1050域>
<08月20日、1.1100域><08月21日、1.1150域>
(08月30日、下に3枠転換。ロング1.1200域、ショート1.0700域から)


<豪ドル円>
(07月24日、ショートサイン102.00域に到達)
<07月24日、101.00域><07月25日、100.50域><07月30日、99.50域>
<07月31日、98.00域><08月01日、97.00域><08月02日、95.00域>
<08月05日、93.50域>
(08月07日、上に3枠転換。ロング109.50域、ショート93.00域から)
(09月02日、下に3枠転換。ロング100.00域、ショート93.00域から)


<ポンド円>
(07月30日、ショートサイン196.00域に到達)
<07月30日、196.00域>
<07月31日、192.00域><08月01日、190.00域>
<08月02日、187.00域>
<08月05日、184.00域><08月06日、183.00域>
(08月07日、上に3枠転換。ロング208.00域、ショート182.00域から)
(09月02日、下に3枠転換。ロング194.00域、ショート182.00域から)


<ポンドドル>
(08月01日、下に3枠転換。ロング1.3100域、ショート1.2200域から)
(08月16日、上に3枠転換。ロング1.3100域、ショート1.2500域から)
(08月23日、ロングサイン1.3100域に到達)
<08月23日、1.3200域>


<豪ドル米ドル>
(05月15日、ロングサイン0.6650域に到達)
<05月15日、0.6650域>
<07月03日、0.6700域><07月11日、0.6750域>
(07月22日、下に3枠転換。ロング0.6800域、ショート0.6350域から)
(08月13日、上に3枠転換。ロング0.6800域、ショート0.6400域から)


<ユーロポンド>

(06月05日、ショートサイン0.8450域に到達)
<06月05日、0.8450域><06月11日、0.8400域><07月12日、0.8350域>

(08月02日、上に3枠転換。ロング0.8800域、ショート0.8300域から)
(08月22日、下に3枠転換。ロング0.8650域、ショート0.8300域から)

(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:(09月16日)~(09月20日)

日足PampFの状況 09月16日

Associations between levels of sedentary behavior and depressive symptoms independently and in combination with different levels of physical activity remain unclear.This study aimed to examine independent and combined associations of physical activity (PA) and sedentary behavior (SB) with depressive symptoms among Japanese adults.An Internet-based survey collected data on depression levels (Center for Epidemiologic Studies Depression Scale), self-reported time spent in PA and SB (Japanese short version of the International Physical Activity Questionnaire), and sociodemographic variables from 2,914 adults in 2009. Binary logistic regression analyses were conducted to examine the odds ratios (ORs) for being depressed (depression scores a parts per thousand yen16) according to independent PA levels (none, insufficient, sufficient), SB levels (low, moderate, high), and nine combinations of PA and SB categories.After adjusting for potential confounders, sufficient PA level was found to be related to lower risk of depressive symptoms independently (OR = 0.61), whereas no significant associations were observed between SB levels and depression. In the combined associations, adults in the sufficient PA/high SB (OR = 0.44), sufficient PA/moderate SB (OR = 0.56), and sufficient PA/low SB (OR = 0.57) categories were significantly less likely to have depressive symptoms in comparison with the no PA/high SB category.Meeting physical activity recommendations is associated with a lower risk of depressive symptoms, regardless of time spent in total sedentary behavior. These results suggest that promoting physical activity may be an effective strategy against depressive symptoms among Japanese adults.

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.

Background–Several non-pharmaceutical policies, which include stay-at-home orders, mobility restrictions, and quarantine, have been implemented to reduce the spread of novel coron-avirus disease 2019 (COVID-19). The present study examines work style changes among company workers after COVID-19 and analyses their effects on workers’ domain-specific sedentary and active behaviours. Methods-We analysed data from a nationwide prospective online survey in Japan. The data were obtained in February 2019 (n = 3200) and in July 2020 (n = 1709) from the registered individuals of a Japanese internet research service company. The participants reported work style patterns before and after the outbreak of COVID-19 in the follow-up survey. Domain-specific sedentary behaviours and physical activities were assessed by questionnaires. Paired t-tests were used to compare work styles before and after the outbreak of COVID-19. Multivariable linear regression models were used to assess the associations between changes in work style and changes in sedentary behaviours and physical activities. Results. Workers had more working from home days and fewer office-based working days after the outbreak of COVID-19 (p < 0.001 and p < 0.001, respectively). The increase in the number of working from home days per week was significantly associated with increases in work-related sitting time and total sitting time (b = 0.16, 95% CI 0.08, 0.24, p < 0.001 and b = 0.23, 95% CI 0.11, 0.36, p < 0.001, respectively). However, it was also associated with a decrease in car sitting time (b = −0.04, 95% CI −0.06,-0.01, p < 0.001). In addition, the increase in the number of working from home days was associated with a decrease in work-related moderate physical activity (b =−0.06, 95% CI −0.10, −0.02, p < 0.001). Conclusions. Our study provided preliminary evidence of an increase in working from home days in response to COVID-19 in Japan and of how this increase in the number of working from home days has affected workers’ sedentary behaviours and physical activities. These findings shed light on the effects of COVID-19 on work styles and workers’ sedentary behaviours and physical activity.

BackgroundThere are spatial disparities in cardiovascular disease (CVD) mortality related to area‐level socioeconomic status (SES) disadvantage, but little is known about the spatial distribution of CVD mortality according to built environment factors. We examined joint associations of neighborhood walkability attributes and SES with CVD mortality rates through linkage of Japanese national data sets.Methods and ResultsNational data were used from the 1824 municipalities (of the 1880 potentially eligible municipalities) across Japan. The outcome was mortality from CVD for a 5‐year period (2008–2012) for each municipality. A national index of neighborhood deprivation was used as an indicator of municipality‐level SES. A national walkability index (based on population density, road density, and access to commercial areas) was calculated. Compared with higher SES municipalities, relative rates for CVD mortality were significantly higher in medium SES municipalities (relative rate, 1.05; 95% CI, 1.02–1.07) and in lower SES municipalities (relative rate, 1.09; 95% CI, 1.07–1.12). There were walkability‐related gradients in CVD mortality within the high and medium SES areas, in which lower walkability was associated with higher rates of mortality; however, walkability‐related CVD mortality gradients were not apparent in lower SES municipalities.ConclusionsCVD mortality rates varied not only by area‐level SES but also by walkability. Those living in areas of lower walkability were at higher risk of CVD mortality, even if the areas have a higher SES. Our findings provide a novel element of the evidence base needed to inform better allocation of services and resources for CVD prevention.

Built environment is an important correlate of physical activity participation. Understanding the long-term effects of environment on health behavior is necessary for the promotion of population-based physical activity. However, most studies assessing the relationships between physical activity and environment have been conducted in the United States and Australia. The present study reviews Japanese researches on built environment and physical activity, and discusses the applicability of the built environment on promoting physical activity among Japanese adults. A review was conducted by searching the PubMed and Ichushi electronic database from inception to Sept 24, 2009. Eligible articles were identified as follows : 2 studies that developed the environment scale ; 10 studies that assessed the relationships with physical activity and built environment. There have been only a limited number of studies which were conducted with Japanese adults, thus more researches are needed to draw conclusions about the built environment associated with physical activity.

The present case study evaluated an environment-focused project for promoting walking, which included the development of walking courses (using public spaces, parks, roads) with stations for smart cards in the community and an interfaced internet-based self-monitoring system. The project was started in 2008 in Misato City of Saitama Prefecture. In this project, individuals can participate by paying a registration fee (500 yen) and obtaining their own cards. If registrants walk the course, holding their cards over a scanner at 3-4 stations, the smart card records their data (e.g. distance and time spent in walking) from one to the other station and transfers these to a self-monitoring system. As a result, registrants could check their data online. From June 2008 to November 2009, a total of 631 individuals (62% female) who obtained the information from newspaper, magazines, website, or some local events, registered for this project. From walking data collected automatically in the database through the self-monitoring system, it was found that 445 registrants (63% female) used this system at least once, and most of the registrants were 40 years old or more. This suggests that the project in this study might have been effective in promoting walking only among older people. Also, most of the registrants lived around the courses. In particular, the courses in the area surrounded by beautiful nature and residential areas were often used. To expand this idea to other age groups, new attempts, including a point supplying system based on the distance of walking are under development.

BackgroundPhysical activity and physical performance relate to quality of life, mortality, and morbidity in elderly people. However, little is known about differences in physical performance related to low-intensity light physical activity (LLPA), high-intensity light physical activity (HLPA), and moderate-intensity physical activity (MPA) and how they are separated by sex in elderly populations.AimsThis study aimed to determine differences in LLPA, HLPA, MPA, and physical performance, and associations between these measures in community-dwelling elderly men and women.MethodsPhysical activity and physical performance such as timed-up-and-go test, one-leg standing time, and maximum gait speed were measured in 181 community-dwelling elderly men (mean age, 75.1 +/- 5.3 years) and 109 women (mean age, 73.4 +/- 4.8 years) in 2013. Physical activity was classified as LLPA (1.6 +/- 1.9 METs of physical activity), HLPA (2.0 similar to 2.9 METs of physical activity), and MPA (over 3 METs of physical activity). The association between the values of these three intensities of physical activity in the participants was assessed by Pearson's correlation coefficients. Multiple linear regression analyses were used to assess the association of physical performance values with the three groups defined by accelerometer- measured physical activity intensity adjusted for sociographic, behavioral, and multiple diseases in the participants.ResultsMPA was beneficially associated with all physical performance indicators in the men (all P 0.05) and women (all P 0.05). Only HLPA showed significant associations with the timed-up-and-go test (P = 0.001) and maximum gait speed (P = 0.006) in women. Discussion These results may support the notion that not only HLPA in women but MPA in both sexes appears to improve physical performance in elderly populations. Conclusion The present study findings provide novel epidemiological evidence for the potential benefits of HLPA in women and also reinforce the potential benefits of MPA in both sexes, which is the mainstay of public health recommendations.

Evidence about the impacts of the physical activity environment on adults' weight in the context of Asian countries is scarce. Likewise, no study exists in Asia examining whether Walk Score ® -a free online walkability tool-is related to obesity. This study aimed to examine associations between multiple physical activity environment measures and Walk Score ® ratings with Japanese adults' body mass index (BMI). Data from 1073 adults in the Healthy Built Environment in Japan study were used. In 2011, participants reported their height and weight. Environmental attributes, including population density, intersection density, density of physical activity facilities, access to public transportation, and availability of sidewalks, were calculated using Geographic Information Systems. Walk Scores ® ratings were obtained from the website. Multiple linear regression analysis was conducted to examine the association between each environmental attribute and BMI. Adjusting for covariates, all physical activity environmental attributes were negatively associated with BMI. Similarly, an increase of one standard deviation of Walk Score ® was associated with a 0.29 (95% confidence interval (CI) of -0.49--0.09) decrease in BMI. An activity-friendly built environment was associated with lower adults' BMI in Japan. Investing in healthy community design may positively impact weight status in non-Western contexts.

Background: Providing information about cancer prevention might increase awareness of prevention and promote preventive behaviours. A better understanding about the prevalence and preferences of obtaining information about cancer might help to identify targeted individuals and design effective strategies for promoting cancer-preventive behaviours. Thus, the present study examined the prevalence and correlates of obtaining information about cancer among Japanese adults, and described preferences including source and content.Methods: Data were analysed for 3,058 Japanese adults (mean age 45.0 +/- 13.4 years) who responded to an Internet-based cross-sectional survey. The data included whether information about cancer had been obtained, sources, preference for content, sociodemographic variables, health status, and cancer histories. Force-entry logistic regression analysis was used.Results: Overall, 46.7% of respondents had obtained information about cancer. Gender, age, and education level were statistically significant correlates of doing so. Women were more likely to obtain information (OR = 1.97) as were older age groups (40-49: OR = 1.54, 50-59: OR = 2.27, 60-69: OR = 3.83), those with higher education (2 years college or equivalent degree: OR = 1.31, college graduate or higher: OR = 1.48) and those with having cancer histories (personal: OR = 3.52, family: OR = 1.57, friends/co-worker: OR = 2.09). The most prevalent source of information about cancer was mass media. Content of prevention is most needed among inconsistent contents with the frequently obtained contents.Conclusions: Less than half of the respondents information about cancer. The finding suggests that better health communication strategies would be necessary to inform Japanese people about cancer. Understanding which subgroups were less likely to obtain information and preferences of information might be effective in promoting cancer prevention.

Background: It is vital to reduce the proportion of sedentary behavior in children. Understanding the duration and behavioral context is needed. The present study examined school-grade and sex differences in domain-specific sedentary times and concurrence with screen-time guidelines among Japanese elementary school children.Methods: A total of 625 children (330 boys) were surveyed in 2010 and 2014. Using a questionnaire, data regarding participants' grade (first through third grades: lower grades; fourth through six grades: higher grades), sex, weight, and height were collected in addition to the time spent per day engaging in each specific sedentary behavior separately: (1) reading or listening to music, (2) TV or video viewing, (3) TV game use, (4) internet use excluding class, (5) homework, and (6) car travel. Two-way analysis of covariance and logistic regression analyses, adjusted for BMI and moderate to vigorous physical activity, were used to examine school-grade and sex differences in sedentary behaviors and the independent risk of exceeding recommended total daily screen time ( 2 h).Results: On 625 children, mean minutes (SD) of sedentary behavior per week in (1) - (6) were 90.3 (123.4), 535.0 (356.6), 167.3 (222.1), 23.9 (70.9), 264.9 (185.3), and 33.4 (61.2) in weekdays and 42.1 (70.0), 323.9 (232.0), 123.0 (96.4), 15.8 (49.9), 74.4 (96.4), and 71.3 (84.9) in weekends, respectively. There were differences in the minutes of sedentary behavior between participants of 2010 and 2014; e.g., TV game use and homework in weekdays and weekdays and car travel in weekends. Boys spent more time in TV game use, and girls spent more time reading, listening to music, doing homework, and car travel. Higher-grade students spent more time reading or listening to music, using a computer, and doing homework. Higher-grade students were 2.09 times (95% CI: 1.32 - 3.30) in whole week, 2.08 times (95% CI: 1.45 - 3.00) in weekday, and 1.88 times (95% CI: 1.29 - 2.74) in weekend more likely to spend = 2 h per day in domains (2) - (4) (screen-time) than lower-grade students.Conclusions: Time spent engaging in each domain-specific sedentary behavior differed according to sex and school grade. Higher-grade students were less likely to meet screen-time guidelines. These findings highlight the need for domain-focused strategies to decrease sedentary behavior in Japanese school-age children.

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