日足P&Fの状況:(06月24日)~(06月28日)

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日足P&Fの状況:(06月24日)~(06月28日)
日足P&Fの状況:(06月24日)~(06月28日)
(随時追記していきます)


<ドル円> 
(06月03日、下に3枠転換。ロング158.00域、ショート154.00域から)
(06月05日、上に3枠転換。ロング158.00域、ショート154.00域から)
(06月19日、ロングサイン158.00域に到達)
<06月19日、158.00域><06月20日、158.50域><06月21日、159.50域>

<ユーロ円>
(05月01日、下に3枠転換。ロング170.00域、ショート161.00域から)
(05月08日、上に3枠転換。ロング170.00域、ショート163.00域から)
(05月24日、ロングサイン170.00域に到達)
<05月24日、170.00域>


<ユーロ米ドル>
(06月03日、ロングサイン1.0900域に到達)
<06月03日、1.0900域>

(06月10日、下に3枠転換。ロング1.0950域、ショート1.0550域から)


<豪ドル円>
(06月04日、下に3枠転換。ロング105.00域、ショート100.00域から)
(06月12日、上に3枠転換。ロング105.00域、ショート102.00域から)
(06月18日、ロングサイン105.00域に到達)
<06月18日、105.00域><06月20日、105.50域><06月21日、106.00域>



<ポンド円>
(06月04日、下に3枠転換。ロング201.00域、ショート190.00域から)
(06月11日、上に3枠転換。ロング201.00域、ショート196.00域から)
(06月19日、ロングサイン201.00域に到達)
<06月19日、201.00域><06月21日、202.00域>


<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)
(02月05日、下に3枠転換。ロング1.2900域、ショート1.1900域から)

(05月15日、上に3枠転換。ロング1.2900域、ショート1.2200域から)


<豪ドル米ドル>
(04月29日、上に3枠転換。ロング0.6650域、ショート0.6350域から)
(05月15日、ロングサイン0.6650域に到達)
<05月15日、0.6650域>



<ユーロポンド>

(11月29日、下に3枠転換。ロング0.8800域、ショート0.8450域)
(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>

(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:(06月24日)~(06月28日)

日足PampFの状況 06月24日

Objective:The present study examined physical activity(PA)levels and differences in PA by gender and grades during school recess periods. Method:PA levels of two hundred and thirty children(55% boys, 42%younger)from two elementary schools in Japan were measured with accelerometry for seven consecutive days. Time spent in sedentary, light PA, moderate PA, vigorous PA during break(25 minutes)and lunch recess(15 minutes), and total recess(40 minutes)was determined. Two-way analysis of variance was used to examine differences in PA variables by gender and grades. Results:Data of one hundred and eighty four children(52% boys, 56% younger)was available. Time spent in sedentary, light PA, moderate PA, and vigorous PA was 8.5±4.9, 12.9±3.8, 1.6±1.2, and 2.9±2.8 minutes during break, and 3.5±2.5, 9.5±2.2, 1.4±0.9, and 1.6±1.4 minutes during lunch recess, respectively. There were no significant interactions between gender and grades. Significant main effects of PA variables were found for gender and grades. Boys had fewer sedentary time(p=0.017)and higher vigorous PA time(p<0.001)than girls during total recess. Younger engaged in more sedentary(p=0.045)and less light(p=0.023)and moderate PA(p=0.006)than older at break. On the other hand, at lunch recess, younger had significantly longer light(p=0.015)and vigorous PA(p<0.001)and shorter sedentary time(p<0.001)than older. Conclusion:Overall, boys were less sedentary and engaged in PA at higher intensity levels than girls during school recess. Different pattern in PA was shown between break and lunch recess by grades.

AbstractEvidence for social pathways to health benefits for dog owners appears positive but less well-developed. Our study aimed to estimate the differences in social capital by dog ownership and dog walking status among young-to-middle-aged adults and older adults in Japan. Data from 3606 residents living in Japan were used. Data on social capital, dog ownership, and dog walking were collected by questionnaires. Age-stratified multivariable linear regression models were used to estimate differences in social capital scores by dog ownership and dog walking status. Among young-to-middle-aged adults, the mean of the activities with neighbours score, adjusted for covariates, was significantly higher (p  0.05) for the dog owner walkers group compared to the non-dog owners group. Among older adults, no significant differences in the marginal means of social capital scores were observed between the three groups of non-dog owners, dog owner non-walkers, and dog owner walkers. While the benefits of social capital for a healthy lifestyle have been well-documented, few means have been identified to intervene in social capital. Building on and expanding the known health benefits of dog ownership and dog walking, this study revealed modest support for the link between dog walking and activities with neighbours among young-to-middle-aged adults, but no meaningful associations were found for older adults. Additionally, no significant link was observed between dog walking and social cohesion among either age group. Future research can further improve the use of dog-based behavioural health interventions for fostering social capital.

Previous studies have not investigated the determinants of resting oxidative stress, including physical fitness, as it relates to redox regulation. The present study therefore was aimed at identifying lifestyle and biological factors that determine resting oxidative stress, including objectively measured physical fitness. In 873 middle-aged and elderly men and women, age and anthropometric parameters, lifestyle-related parameters, medication and supplementation status, physical fitness, biochemical parameters, and nutritional intake status, as well as three plasma oxidative stress markers: protein carbonyl (PC), F2-isoprostane (F2-IsoP), and thiobarbituric acid reactive substances (TBARS), were surveyed and measured. The determinants of PC, F2-IsoP, and TBARS in all participants were investigated using stepwise multiple regression analysis. In PC, age (β = -0.11, P = 0.002), leg extension power (β = -0.12, P = 0.008), BMI (β = 0.12, P = 0.004), and HDL-C (β = 0.08, P = 0.040) were included in the regression model (adjusted R 2 = 0.018). In the F2-IsoP, smoking status (β = 0.07, P = 0.060), BMI (β = 0.07, P = 0.054), and HbA1c (β = -0.06, P = 0.089) were included in the regression model (adjusted R 2 = 0.006). In TBARS, glucose (β = 0.18, P < 0.001), CRF (β = 0.16, P < 0.001), age (β = 0.15, P < 0.001), TG (β = 0.11, P = 0.001), antioxidant supplementation (β = 0.10, P = 0.002), and HbA1c (β = -0.13, P = 0.004) were included in the regression model (adjusted R 2 = 0.071). In conclusion, the present study showed that age, anthropometric index, lifestyle-related parameters, medication and supplementation status, objectively measured physical fitness, biochemical parameters, and nutritional intake status explain less than 10% of oxidative stress at rest.

Although many studies have reported that a posteriori dietary pattern is associated with metabolic health, there is little evidence of an association between dietary patterns and different metabolic phenotypes. The present study aimed to examine the association between major dietary patterns and different metabolic phenotypes (metabolically healthy non-obese [MHNO], metabolically unhealthy non-obese [MUNO], metabolically healthy obese [MHO], and metabolically unhealthy obese [MUO]) in middle-aged and elderly Japanese adults. This cross-sectional study enrolled 2,170 Japanese adults aged ≥40 years. The four different metabolic phenotypes were determined based on the presence of obesity, abdominal obesity, hypertension, hyperglycemia, and dyslipidemia. The major dietary patterns were determined using principal component analysis based on energy-adjusted food intake. Two dietary patterns were identified: the healthy dietary pattern, which was characterized by a high intake of vegetables, fruits, potatoes, soy products, mushrooms, seaweeds, and fish; and the alcohol dietary pattern, which was characterized by a high intake of alcoholic beverages, liver, chicken, and fish. The healthy dietary pattern was associated with the MHNO and MHO phenotypes (MUNO and MUO as reference groups, respectively), and the multivariate-adjusted odds ratios (ORs) (95% confidence intervals [CIs]) in the highest quartile of healthy dietary pattern score with the lowest quartile as the reference category were 2.10 (1.40-3.15) and 1.86 (1.06-3.25), respectively. Conversely, the alcohol dietary pattern was inversely associated with the MHNO and MHO phenotypes, while the multivariate-adjusted ORs (95% CIs) in the highest quartile of the alcohol dietary pattern score with the lowest quartile as the reference category were 0.63 (0.42-0.94) and 0.45 (0.26-0.76), respectively. There were no significant interactions between sex and healthy/alcohol dietary patterns in the prevalence of the MHNO and MHO phenotypes. In conclusion, the present study's findings suggest that major dietary patterns are associated with different metabolic phenotypes in middle-aged and elderly Japanese adults. These findings provide useful evidence for maintaining metabolic health through diet regardless of obesity status.

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.

School-based extracurricular sports activity (SBECSA) is a beneficial activity for positive youth development. However, there are some problems regarding the management of SBECSA, such as the lack of SBECSA teachers who can coach expertly and the great burden for SBECSA teachers. Although the number of external coaches has not been sufficient, recruiting external coaches into SBECSA has been focused on to help resolve these issues. For further effective recruitment of external coaches, approaching the community residents who have motivation to be external coaches is important. Nevertheless, the sociodemographics associated with the motivation still have not been explored. Therefore, the purpose of the present study was to clarify the sociodemographics of community residents who have motivation to become involved in SBECSA as external coaches (potential external coaches) . An Internet-based cross-sectional survey was conducted by a social survey company with 19506 registrants aged 20-69 years. Stratified random sampling was continued till 100 potential external coaches were collected for both genders and every age group. Coaching motivation as an external coach and six sociodemographics (gender, age, occupational status, marital status, teaching credential, and coaching credential) were obtained. As a statistical analysis, logistic regression analysis was performed. Overall, 19239 participants were included in the analysis and 5.9% of them had coaching motivation. Potential external coaches were significantly less likely to be females (OR = 0.42) , people in their 30s (OR = 0.63) , 40s (OR = 0.40) , 50s (OR = 0.30) , 60s (OR = 0.24) than males and people in their 20s. In addition, workers (OR = 1.49) , students (OR = 1.52) , married people (OR = 1.32) , those who have teaching credentials (OR = 1.60) and coaching credentials (OR = 8.13) were more likely to be external coaches. In conclusion, the present study clarified the sociodemographics of potential external coaches. It is suggested in recruiting external coaches into SBECSA, providing promotion strategies which take these sociodemographic factors into account would be effective.

<小竹めぐみさんプロフィール> 保育士をする傍ら、家族の多様性を学ぶため世界の家々を巡る女1人旅を重ね、2006年より講演会等を開始する。 幼稚園・保育園などで勤務した後、園に属さず自由に動くフリーランス保育士の肩書で独立。 現在は 合同会社こどもみらい探求社共同代表、 NPO法人オトナノセナカ代表理事としてこどもがよりよく育つための“環境づくり”を生業にしている。

The authors examined the relationship between strength-training behavior and perceived environment in older Japanese adults. An Internet-based survey was conducted of 293 adults age 68.2 +/- 2.8 yr. The dependent variable was regular strength-training behavior. The IPAQ environment module, access to facilities for strength training, and home equipment for strength training were environmental factors. Logistic-regression analysis was employed. After demographic variables (gender, age, educational background, household income, body-mass index, self-rated health status, smoking habit, and residential area) were adjusted for, home equipment for strength training (OR = 2.14, 95% CI = 1.50-3.06), access to facilities for strength training (OR = 2.53, 95% CI = 1.32-4.85), and observing active people (OR = 2.20, 95% CI = 1.06-4.58) were positively correlated with regular strength-training behavior. In conclusion, environmental factors associated with strength-training behavior were access to facilities for strength training, having home equipment for strength training, and observing active people.

Background: Sedentary behaviors (SB) are associated with health indicators; however, there are currently very few studies that have examined these associations, especially in conjunction with psychological factors, in children. The current study examined the independent relationship between objectively assessed SB, and indicators of obesity and psychological, well-being, among Japanese children. Methods: A total of 967 elementary-school children completed a cross-sectional survey. SB was measured with accelerometers for 7 consecutive days. Psychological well-being data (eg, anxiety and behavior problems) were collected via a self-report questionnaire. To determine the relationship of SB with degree of obesity and psychological well-being, linear regression analyses were conducted to relate the indicators of obesity and psychological well-being on SB, adjusted by gender, grade, percentage of moderate-to-vigorous physical activity per day, duration spent wearing the accelerometer, and degree of obesity. Results: SB was significantly related to behavioral/emotional problems (beta = .280, P = .010, R-2 = .015). There was a statistically significant relationship between SB and anxiety (beta = .206, P = .059, R-2 = .007). No significant association with degree of obesity was found. Conclusions: Excess SB relates higher levels of behavioral/emotional problems and anxiety. These results can inspire the development of interventions that promote well-being and enhance psychological health, by focusing on SB in Japanese children.

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.

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.

Background Psychological, social, and environmental factors are important determinants for physical activity promotion. There are numerous studies of the direct effects of these factors on physical activity. However, only a few studies have been examined the direct and mediated effects of these factors on physical activity.Purpose The purpose of the present study was to examine the direct and indirect influences of psychological, social, and environmental factors on physical activity among Japanese adults.Methods An internet-based cross-sectional survey was conducted to 2,000 Japanese adults aged 20-79 years. Seven sociodemographic attributes (e. g., gender, age, and marital status), self-efficacy, pros and cons, social support for exercise and environmental variables (home fitness equipment, access to facilities, neighborhood safety, aesthetics, seeing others exercising) were assessed by a self-administered questionnaire. The physical activity was estimated from the Japanese version of the short form of the International Physical Activity Questionnaire. Data were analyzed using structural equation modeling by gender.Results The respondents' mean (SD) age was 43.6(13.0). Environmental factors had indirect effects on physical activity through self-efficacy, social support and pros and cons. On both gender, the strongest indirect effects was the path of environmental factors on physical activity through pros to self-efficacy. The total effects of environmental factors on physical activity were 0.06 of males and 0.04 of females.Conclusion The results indicate that environmental factors had indirect effects on physical activity through psychological and social factors among Japanese adults. These results could contribute to the development of physical activity promotion strategies in Japan.

Purpose: The aim of this study was to translate the Psychological Inflexibility in Pain Scale Japanese version (PIPS-J) and inspect its validity and reliability in older patients with chronic low back pain and knee pain. Materials and Methods: The PIPS was translated into Japanese by a bilingual linguistic expert and three researchers and administered to 120 outpatients with low back pain and knee pain (61.7% women, age 73.8±7.8 years). Construct validity and criterion validity were evaluated using confirmatory factor analysis and the correlations with the Acceptance and Action Questionnaire-II Japanese version (AAQ-II-J) and the Cognitive Fusion Questionnaire Japanese version (CFQ-J), respectively. Internal consistency using Cronbach's alpha and test-retest reliability (n=43) were also examined. Results: Of all, 78.3% had low back pain, 55.6% had knee pain, and 44.2% both. The confirmatory factor analysis reproduced the original PIPS structure with two factors and indicated good model fit (GFI = 0.915, CFI = 0.970, RMSEA = 0.060). All items' standardized regression weights ranged from 0.35 to 0.80. Criterion validity was shown by correlations of r = 0.58 for PIPS-J pain avoidance with the AAQ-II-J, and r = 0.45 between PIPS-J cognitive fusion and the CFQ-J. Cronbach's alpha for the PIPS-J total score was α=0.85 (pain avoidance: 0.87; cognitive fusion: 0.68). The test-retest correlation for all 12 items was r = 0.54 (pain avoidance: 0.48; cognitive fusion: 0.54). Conclusion: Although a less relevant item was found on each of subscales, the PIPS-J appear to be fairly valid and reliable to evaluate psychological inflexibility in chronic pain among Japanese older adults.

This study examined the relationship between a healthy Japanese dietary pattern and micronutrient intake adequacy based on the Dietary Reference Intakes for Japanese 2015 (DRIs-J 2015) in men and women. A cross-sectional study was conducted in 1418 men and 795 women aged 40-87 years, who participated in the Waseda Alumni's Sports, Exercise, Daily Activity, Sedentariness, and Health Study. Dietary patterns were derived from principal component analysis of the consumption of 52 food and beverage items, which were assessed by a validated brief-type self-administered diet history questionnaire. Micronutrient intakes were quantified using the dietary reference intakes score (DRIs-score) for 21 micronutrients (based on DRIs-J 2015). The healthy dietary pattern score was significantly and positively correlated with the intakes of all 21 micronutrients used for constructing the DRIs-score in men and in women (each, p < 0.001). In both sexes, the healthy dietary pattern scores were strongly and positively associated with DRIs-scores (in men: ρ = 0.806, p < 0.001; in women: ρ = 0.868, p < 0.001), and the DRIs-scores reached a plateau around the highest tertile of the healthy dietary pattern score. These results indicate that a healthy Japanese dietary pattern is associated with adequate micronutrient intakes based on the DRIs-J 2015 in both men and women.

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.

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