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Home/News/Business/Legal issues/Woman avoids jail time in latest sentencing for Louisiana staged accidents
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Woman avoids jail time in latest sentencing for Louisiana staged accidents
Home incarceration for 6 months will kick off a 3-year probation
John Kingston
· Friday, December 17, 2021
Photo: Jim Allen/FreightWaves
A Houston woman who pleaded guilty to involvement in the Louisiana staged accident scam is staying out of jail after her sentencing.
Genetta Isreal was sentenced to six months' home incarceration as part of the three years' probation sentence handed down Thursday by U.S. District Judge Eldon Fallon. Fallon sits on the U.S. District Court for the Eastern District of Louisiana, where all the other defendants in the staged accident cases have been indicted, pleaded guilty or sentenced.
The numerous incidents all took place in Louisiana, most of them in the New Orleans metropolitan area. They followed a pattern: a car full of passengers dubbed as "slammers" would stage a collision with an 18-wheeler (or in at least one case, a bus), the slammers would allege various ailments as a result of the crash, lawsuits would be filed and settlements would be sought. In some cases, the settlements were large, and there were even instances of unnecessary surgeries performed to drive home the point that the "injuries" were severe. No doctors have been indicted in connection with the case.
Isreal pleaded guilty in August.
The relatively light sentencing of Isreal stands in contrast to the stiff sentences handed down to other defendants who have pleaded guilty. A relatively minor participant in the scam, Mario Solomon, got less than two years in January. A married couple, Anthony Robinson and Audrey Harris, were sentenced to four years in July. Those are the only reported sentences handed down by the courts before the Isreal sentence this week.
A statement on the sentencing, released by Duane Evans, U.S. attorney for the Eastern District, spelling out the details of the accident involving Israel suggests that Isreal was not involved in planning the June 12, 2017, staged accident that is at the heart of her guilty plea and sentence.
The recap of the case involves now-familiar names who were involved in planning the staged accident and carrying it out: Solomon, Damian Labeaud, who has pleaded guilty and was a participant in many of the staged accidents, and Larry Williams.
Williams recruited Isreal to the scheme, according to the U.S. Attorney's statement. Isreal was treated by doctors at the direction of Danny Keating, a New Orleans lawyer who is the only attorney involved in the case who has been indicted so far. Keating pleaded guilty in June and has not been sentenced yet.
Isreal also provided false testimony in depositions taken as part of the lawsuit filed by Keating's law firm, according to the U.S. Attorney's office.
Isreal also was ordered to pay restitution of $28,816.64 and a $100 mandatory special assessment fee.
There have been 33 defendants indicted in connection with the staged accident scheme. There have been 29 guilty pleas. Cornelius Garrison was indicted and was reportedly cooperating with investigators when he was gunned down at his home in September 2020. There have been no arrests in that slaying.
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Louisiana staged accidents
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John has an almost 40-year career covering commodities, most of the time at S&P Global Platts. He created the Dated Brent benchmark, now the world's most important crude oil marker. He was Director of Oil, Director of News, the editor in chief of Platts Oilgram News and the "talking head" for Platts on numerous media outlets, including CNBC, Fox Business and Canada's BNN. He covered metals before joining Platts and then spent a year running Platts' metals business as well. He was awarded the International Association of Energy Economics Award for Excellence in Written Journalism in 2015. In 2010, he won two Corporate Achievement Awards from McGraw-Hill, an extremely rare accomplishment, one for steering coverage of the BP Deepwater Horizon disaster and the other for the launch of a public affairs television show, Platts Energy Week.


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Dawn Slusher
Creepy! 'Gossip Girl' Creator Wants to 'Explore Character Through [Teen] Sex'
July 14th, 2021 7:00 AM
When the original Gossip Girl series aired on The CW from 2007-2012, it caused a lot of controversy for its depictions of teen sex. But those scenes have nothing on the graphic sexualization of teen characters shown in the new Gossip Girl reboot on HBO Max which, along with a newfound wokeness, we're told is essential for realism.
This blatant sexualization of minor children in Gossip Girl is very avant-garde in the minds of Gossip Girl creator Joshua Safran and his fellow writers/producers. Safran gushed to The Daily Beast, which noted there's "a lot more sex than the first go-around," that his teen characters are "beautiful people" who "can make anything sexy" and said, "I'm happy to be able to explore character through sex in a way that we couldn't with the CW."
As an example, he spoke about an upcoming "rim job"[!] scene, which is sure to be controversial, claiming that real-life teens are "trying these things earlier" and "it was a way to showcase character and also have realistic depictions."
In a Variety video interview with the actors who proclaim the reboot to be "sex positive," Safran said that parents shouldn't be afraid of their children watching the sex scenes because they can so easily access porn these days, a fact that "informs" the show's storylines.
In the same video, executive producer Stephanie Savage advised parents to watch the scenes with their kids and "have a conversation about them." She added, "Those are things that you should be talking about at home." My kids are grown now, but I'd give a resounding, "No, thank you," to that warped advice if they weren't.
Actress Jordan Alexander who plays the show's star Julien agreed with Savage and said, "Be open with them and be like, 'Yeah, these are things that exist and things that you might be interested in.'" Maybe don't encourage parents to suggest an interest in rim jobs to their children.
At least one other outlet thankfully agrees that the reboot is "pathologically deranged," and an "abject failure." USA Today noted the show, "should not be rewarded for a plot in which adults' behavior verges on child abuse…" Several viewers took to Twitter to express their disgust over depicting teens pornographically, as well.
Classism and politics are also key aspects in the reboot, as the students at the prestigious Constance Billard and St. Jude schools are horrible people simply because they're rich. Safran's classist beliefs were on full display in The Daily Beast article, as he said he's not going to apologize for making the show "realistic" back then or now.
"That's what rich kids were like back then," he said, "and this is what rich kids are like now. And they do terrible things still."
Slate's review of the show claimed that "rich people are destroying the planet." They went on to quote Safran remarking:
"These kids wrestle with their privilege in a way that I think the original didn't," co-showrunner Josh Safran told Variety. "In light of [Black Lives Matter], in light of a lot of things, even going back to Occupy Wall Street, things have shifted."
Safran went on to say that the original Gossip Girl leaned too hard on "wealth porn," ...
So, if you're taking notes: underage characters depicted in sexual porn = good, fun entertainment. But 'wealth porn' = bad, evil, and warped. Got it.
Jared Kushner and Ivanka Trump had cameos on the original series and The Daily Beast dedicated the headline of their story on the show to them: "Gossip Girl Creator Joshua Safran on Why Ivanka and Jared Are Not Welcome."
"I'm assuming the Trump clan would not be at home in your new Gossip Girl," the author stated to Safran. "Definitely not!" Safran replied emphatically. "Definitely not," he repeated for added emphasis.
I mean, the man has his limits and must draw the line somewhere! #xoxo
MRC Culture on TV Blogs

redpajama_set_name: RedPajamaCommonCrawl


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"Happy feet": evaluating the benefits of a 100-day 10,000 step challenge on mental health and wellbeing
K. T. Hallam1,2,
S. Bilsborough3 &
M. de Courten ORCID: orcid.org/0000-0001-9997-93591
An increased awareness of the health benefits of walking has emerged with the development and refinement of accelerometer equipment. Evidence is beginning to highlight the value of promoting walking, particularly focusing on the Japanese mark of obtaining 10,000 steps per day. Workplace based step challenges have become popular to engage large cohorts in increasing their daily physical activity in a sustainable and enjoyable way. Findings are now highlighting the positive health effects of these medium-term programs (typically conducted over a few months) in terms of cardiovascular health, reducing diabetes risk and improving lifestyle factors such as weight and blood pressure. As yet, research has not focused on whether similar improvements in psychological health and wellbeing are present.
This study investigated the impact of a 100-day, 10,000 step program on signs of depression, anxiety and stress as well as general wellbeing using standardised psychological scales.
The results indicated a small but consistent effect on all of these measures of mental health over the term of the program. This effect appeared irrespective of whether a person reached the 10,000 step mark.
These results highlight improved mental health and wellbeing in people undertaking this 100-day 10,000 step program and indicates the efficacy and potential of these programs for a modest, yet important improvement in mental health. Notably, targets reached may be less important than participation itself.
By 2030, mental illness is projected to cost the global community over US$ 6 T [1]. This places mental illnesses impacts above cardiovascular disease, chronic respiratory disease, cancer and diabetes [1]. People experiencing mental illness are also known to be at a much higher risk for morbidity and early mortality from physical health issues than the general population [2]. This risk may be further exacerbated by the medications utilised in the treatment of these illnesses [2, 3]. Associated with this high treatment cost is the emerging equity and access issue in low income countries associated with psychiatric disability or sub syndromal functional decline. In these contexts, 75%–85% of people with mental health issues are untreated [4]. Paired with a shortfall of mental health specialists in low and middle income countries [5], these data point to the importance of primary prevention and population level interventions to improve mental health and wellbeing. Physical activity (PA) has become an increasingly important focus in the prevention of non-communicable diseases, yet these strategies are often underutilised in the mental illness (and mental health) domain [6,7,8]. Epidemiological studies demonstrate that adequate PA is associated with fewer depressive symptoms [9], and conversely, the development of depressive symptoms many result from insufficient PA [10]. Four Cochrane Database Systematic reviews, titled "Exercise and Depression", have been undertaken in the past 10 years. The most recent of these meta-analyses showed that in clinically depressed individuals, exercise has a moderate effect on symptoms of depression, highlighting its place as an adjunct treatment option [11].
Physical activity likely exerts its impact on mood via reducing the activity of the sympathetic nervous system and associated hypothalamic-pituitary-adrenal axis reactivity in the brain [12]. In terms of monoaminergic activity, animal models highlight the role of exercise in increasing both serotonin and noradrenalin levels in the brain in a similar fashion to antidepressant medications [13]. On a clinical level, this serotonergic activity may explain why exercise is as effective as serotonergic focused antidepressant medications for mild to moderate symptoms [14]. Evidence also indicates increased brain derived neurotrophic factor (BDNF) levels associated with single sessions of exercise that improve further with regular exercise. This increased BDNF level is associated with both cognitive and mood improvements in the brain and behaviour [15]. Smits and colleagues (2008) have demonstrated that with as little as six, 20 min sessions of treadmill exercise (at 70% maximum health rate) over two weeks has a positive impact on mood factors such as anxiety [16]. It is clear that promoting PA for both clinical and sub-clinical mood disturbance is a valuable goal.
Stress is a precipitating factor in susceptibility and exacerbation of mental health issues. Stress is more commonly experienced than depression and anxiety and is associated both with poorer mental health and wellbeing, an important linkage as wellbeing itself is associated with better physical and psychological health over the lifespan [17]. Notably, stress is very responsive to PA [18] and regularly engaging in PA has been recommended by many government and health authorities for improving mental and physical health and wellbeing [19, 20].
The World Health Organisation [21] has identified a valuable role for workplace based interventions in improving the health of the whole workforce. Pedometer based programs can significantly improve physical activity and physical health including reducing sitting time, reducing weight, improving blood lipid levels and reduced diabetes risk indicators [22,23,24]. Glance and colleagues [24] have also indicated an improvement in wellbeing, implying an impact on stress levels in participants. Within step challenge programs, the 10,000 step goal roughly equate to 8 km of walking per day (around 1.5 to 2 h of walking). This level of activity well exceeds the WHO Global Strategy on Physical Health, Diet and Activity recommendations of 150 min of moderate physical activity per week [25]. Despite clear physical improvements associated with 10,000 step programs, to date no research has investigated possible important impacts of these workplace programs or the 10,000 daily step benchmark on the psychological factors of wellbeing, stress, anxiety and depression. Whether 10,000 steps are sufficient to elicit changes in these (perhaps more complex) psychological domains remains unknown at this time [26].
The aim of this investigation was to assess the impact of a 100-day workplace based 10,000 step challenge on mental health and wellbeing in an international workplace community sample. Based on evidence indicating positive physical health effects from 10,000 step programs four hypotheses were developed. Firstly, it was hypothesised that participants involved in a 10,000 step program for 100 days would see benefits in their levels of depression, anxiety and stress and consequent improvements in wellbeing scores. Further, it was hypothesised that increasing amounts of exercise in these programs would lead to improved outcomes on these. Thirdly it was hypothesised that those who on average completed more than 10,000 steps per day throughout (the recommended level for these programs) would perform better in terms of mental health and wellbeing than those who did not reach this threshold. Finally, it was hypothesised that when controlling for demographic factors of age and gender, this improved outcome in people who engaged in more stepping exercise would be maintained.
Of the 2379 respondents who consented to participate in this research, 1963 participants made up the final sample size. This number accounted for 416 who either did not complete 70% of the 100-day challenge or those who did not complete the demographic or mental health survey.
Stepathlon is a company headquartered in Mumbai, India running globally organized team-based walking programs at participating workplaces. Stepathlon has also offices in Australia where the workplace health and wellbeing policies are developed. Hence, the study sample are predominantly from these two countries.
Through the Stepathlon corporate challenge (http://www.stepathlon.com), routine data are obtained relating to age, gender, location and daily step counts as recorded by participants on a password protected website based on readings from pedometer (clip-on) or other fitness monitors (e.g. wrist accelerometer). On completion of the 100-day step challenge in 2015 and 2016, digital assets management staff of Stepathlon extracted de-identified data from their server and provided this de-identified database to Victoria University as per research agreement.
Symptoms of depression, anxiety and stress were assessed using the short form of the Depression, Anxiety Stress Scales (DASS [27]). The short form DASS is a 21-item, self-report, symptom-oriented measure consisting of three sub scales: Depression, Anxiety and Stress. Participants rated their experience of each indicator across a four-point frequency (from 0 [did not apply to me at all] to 3 [applies very much to me or most of the time]). The DASS has strong construct validity [28], adequate discriminant and convergent validity [27] and internal consistency (Cronbach's α of 0.96, 0.89, 0.93 for the depression, anxiety and stress subscales respectively [29]). It has strong factor structure in both non-clinical [27] and clinical samples [29].
The Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS) is a 14-item measure rated on a 1–5 scale (from 'none of the time' to 'all of the time'). The scale focuses on positive elements of wellbeing and is positively worded throughout. The scale provides a one factor model for measuring wellbeing [30, 31]. The WEMWBS shows strong criterion validity with the WHO Wellbeing Index-5, Positive and Negative Affect Schedule and is negatively correlated with the General Health Questionnaire-12 measure of mental ill health [30]. Finally, internal consistency (Cronbach's α = 0.91) and one-week test-retest reliability (0.83) of the scale were strong [30].
Participants were recruited from the established international Stepathlon program. This workplace activity challenge was promoted at participating sites via posters, e-flyers, and through engagement of senior management through visits to sites by health & wellbeing managers.
Participants of this workplace activity challenge were provided with a participant information and consent forms inviting them to this research charting the impacts of the 10,000 step challenge on their mental health and wellbeing. The project was approved by the Victoria University Human Research Ethics Committee (HRE15–168). All participants completed the standard demographics questionnaire and logged their daily step count for as many of 100 days during the challenge. Participants could use their own pedometer, or activity monitoring device throughout the challenge and recorded their daily totals via the Stepathlon user portal. Through this portal they received regular newsletters, updates and motivational articles for the duration of the challenge. In addition to the standard step challenge package, consenting participants completed a pre-and post 100-day challenge questionnaire regarding their mental health using the DASS-21 and WEMWBS questionnaires in English.
The results of the study were analysed using a number of repeated measures ANOVAs. Firstly, the data were assessed to see if there were overall changes in mood and wellbeing from pre to post testing over the activity challenge. Following this, a repeated measures ANOVA focusing on the 10,000 step threshold (between subjects factor) and change over time (within subjects factor) was used to evaluate the 10,000 step criterion. Further, a series of Pearson product moment correlation coefficients were utilised to assess overall relationships between number of steps completed on average by participants and changes in mental health and wellbeing scores. Finally, a repeated measures ANCOVA was utilised to assess the factors in the 10,000 steps over time but covarying for age and gender. All analysis was conducted in SPSS version 21.
The final sample of 1963 participants was screened for univariate outliers via box plot analysis on the outcome scales. Data inspection indicated no outliers (+ 2 SD) in the sample, presumably due to the large sample size. Data were assessed for the assumptions of normality and skewness. The data did not violate the assumptions of asymmetry and kurtosis of ±2 using threshold defined by Field [32]. Tests of within subject violations of the assumption of sphericity indicated no violations of this measure, hence parametric analysis was appropriate for the within subjects analysis. Finally, violation of the assumption of homogeneity was assessed using Levene's equality of error variance estimates. Due to the large sample size in the study, the Levene's significant level was adjusted to 0.001 as per the recommendations of Warner [33]. The results after correction showed no violations of homogeneity of variance, hence parametric analysis was used for all statistical analysis.
The final sample represented 1458 males and 505 females who ranged in age from 16 to 74 years (M = 36.6, SD = 8.9). Participants represented numerous countries of origin with the majority being from India (n = 1610) and Australia (n = 227) along with 21 other countries.
Change in mental health and wellbeing over 100 day challenge
A repeated measures ANOVA demonstrated improvements on all measures of the DASS over the 100-day challenge period. This included a significant 7.6% improvement in levels of depressive symptoms based on a reduction from an average of 4.59 (S.D. = 3.52) to 4.24 (S.D. = 3.44), F(1, 1962) = 67.385, p < .001, η2 = .033, power = 1.0. In relation to anxious symptoms, the data showed a 5.04% improvement after the 100 day challenge, reducing from an average of 4.56 (S.D. = 3.13) to 4.33 (S.D. = 3.08), F(1, 1962) = 34.416, p < .001, η2 = .0017, power = 1.0. Stress symptoms were the most responsive to the 100-day challenge with the data showing an 8.96% improvement in stress levels on the DSS following the program. This equated to a reduction from an average of 5.47 (S.D. = 3.19) to 4.98 (S.D. = 3.05), F(1, 1962) = 117.593, p < .001, η2 = .057, power = 1.0. Finally, there was a 2.13% improvement in overall wellbeing on the WEMWBS, associated with an increase in average wellbeing scores from 50.01 (S.D. = 10.29) to 51.08 (S.D. = 10.45), F(1, 1962) = 103.555, p < .001, η2 = .050, power = 1.0.
Relationship between mental health and wellbeing score changes and average amount of walking
To investigate if these clear mental health improvements over the challenge were associated with increasing levels of walking exercise a series of correlation analyses were conducted contrasting change scores on each of these measures from pre to post testing versus the average number of steps taken per day. The results indicated no significant overall correlations between average steps and depression (r2 = − 0.026, p = .254), anxiety (r2 = −.029, p = .205), stress (r2 = −.026, p = .247) and WEMWBS (r2 = .026, p = .256). While all measures trend in the direction of improvement with increasing steps, it is notable that the range (2775 average steps to 112,831 average steps) of steps taken on average varied markedly, impacting clear correlations.
Do people who walk over 10,000 steps on average have greater improvements in mental health and wellbeing?
It is contended in 10,000 step programs that reaching 10,000 steps has a certain significance for participants. This "stepping goal" was assessed to elucidate any meaningful differences between those who reached less than or greater than this goal on average across the program. This research question was assessed with a repeated measures ANOVA that compared the between subject factor of number of steps (less than 10,000 versus equal to or more than 10,000 steps). These results are depicted in Table 1.
Table 1 Change in mental state and wellbeing scores across 100-day challenge based on participant's average 10,000 step goal
The results highlighted an interaction effect between group (less than 10,000 steps versus 10,000 or more steps) and time (pre and post testing) for DASS stress (F [1, 1961] = 3.982, p = .046, η2 = .002, power = .514) with the participants who completed equal to or more than 10,000 steps showing a 10.13% improvement in stress levels whilst the individuals who completed less than 10,000 steps daily only achieved a 5.36% improvement.
Likewise, the interaction effect around anxiety showed that those who completed equal to or more than 10,000 steps daily had a significantly better improvement in anxiety over the challenge, improving their anxiety levels by 5.89% versus only 1.34% for those who completed less than 10,000 steps. (F [1, 1961] = 5.421, p < .001, η2 = .003, power = .643). Interaction effects for depression and overall wellbeing scores were not evident in the analysis. Finally, between subjects differences profiling overall levels of psychological distress and wellbeing in those who did less than 10,000 steps on average versus those who did more showed that the participants in the greater than 10,000 steps group had better scores on wellbeing, F(1, 1961) = 4.017, p = .045, η2 = .002, power = .517, and stress levels, F(1, 1961) = 21.795, p < .001, η2 = .011, power = .997. There were no overall differences in anxiety, F(1, 1961) = .001, p = .975, η2 = .000, power = .050 and depression scores, F (1, 1961) = 1.876, p = .171, η2 = .001, power = .278.
Do 10,000 step differences remain when age and gender are accounted for?
A final analysis was conducted to see if adding demographic factors other than the 10,000 steps model impacted the importance of meeting this threshold in relation to mental health and wellbeing. Gender was divided into male and female participants whilst age was categorised as 18–30 years (n = 519), 31–45 years (1096), 46–60 years (n = 292) and 60 plus (n = 24 years). This analysis continued to use pre and post-depression/anxiety/stress and WEMWBS levels as the within subjects factors and now included threshold (i.e. more or less than 10,000 steps achieved on average) as the between subjects factor as above. Gender and age were covariates in the model.
The ANCOVA analysis of depression continued to reflect no significant change in depression levels over time (within subjects factor) whilst gender and age category were both significant between subjects predictors of depression scores overall, F (1, 1927) =13.402, p < .001, eta2 = .007, power .955 and F (1, 1927) =22.725, p < .001, eta2 = .012, power = .997 respectively. Whether people had reached 10,000 steps daily on average had no added significant effects. Finally, there were no interaction effects with the between subjects covariates and the 10,000 step threshold factor and change in depression levels over time.
The ANCOVA analysis of anxiety again revealed the overall decrease in anxiety over the challenge but no significant interactions between age, gender or the 10,000 step threshold in the changes observed in the within subjects analysis. In terms of between subjects effects of the threshold measure and the covariates of age and gender, the results highlight an overall impact of the age covariate, F(1,1927) = 52.363, p < .001, eta2 = .026, power = 1 but no significant impacts from whether people achieve the 10,000 step threshold or their gender.
The ANCOVA related to stress highlighted that with the fuller model, the former significant change over time was no longer observable. Further, there were no significant interaction effects in relation to stress changes for whether people reached the 10,000 step threshold or related to the covariates age and gender. The between subjects analysis highlighted that age and whether people walked over 10,000 had significant impacts on stress levels. in terms of overall stress levels, both age and gender impacted, F(1,1927) = 13.707, p < .001, eta2.007, power = .959 and F(1,1927) = 23.616, p < .001, eta2 = .012, power = .998. Notably, the participants who were in the group that had averaged over 10,000 steps were those with lower stress levels overall.
Finally, wellbeing scores were assessed. The data from the WEMWBS indicated that the wellbeing scores were unchanged by participation in the program overall and there were no significant interactions between other factors and the results on this scale. Both covariates showed impacts on the between subjects results of the WEMWBS including those for gender, F(1,1927) = 56.608), p < .001, eta2 = .004, power = 1.0 and age F(1,1927)7.315, p = .007, eta2 = .004, power = .771. Notably, being in the above the 10,000 step threshold group did not infer any differences.
The results of this study highlight some psychological and wellbeing benefits of being engaged in work based 10,000 step programs. This effect appeared irrespective of the average number of steps achieved by the person over the program period. Mental health is related to a range of biopsychosocial factors and as a result a range of interventions and approaches may make up sustaining good mental health. This study demonstrated that engaging in a workplace based step program improved stress levels by 8.9%, signs of depression by 7.6%, anxiety by 5.0% and wellbeing by 2.1% from baseline. This reinforces the benefits of this type of exercise regimen as playing a small yet significant role in improving mental as well as physical health. It is notable that when considering the role of the 10,000 step threshold as a significant number to improve people on these psychological factors, there is little evidence from this study that this number holds any significant value. Further, evidence indicates that even the most basic demographic variables such as gender and age can impact the outcomes of this number of steps, again reinforcing the complex biopsychosocial milieu that makes up mental health and wellbeing.
The lack of a dose response highlights there may be multiple factors that lead to improvements associated with these programs outside activity level per se. This may include the enjoyment and connection obtained from meaningful group participation, teamwork, improved friendship, interpersonal support and networking that has been shown to significantly improve mental health and wellbeing [34]. Further, health promoting activities often lead to other behavioural change (e.g. improved diet) to potentially further improve outcomes. The goal of these public health campaign approaches is exactly this, the creation of a gestalt (i.e. the end result being more than just the parts, e.g. doing 10,000 steps specifically) of external and internal change to improve both individual and collective group health. Further research into this cohort needs to explore which combination of internal and external factors most predict successful behavioural change in work based programs. A limitation of this study is the lack of follow-up after the program has ceased to see if mental health gains and behavioural change have been maintained or if they only exist within the workplace challenge. Put plainly, 10,000 steps is not a magic number for the gains in mental health and wellbeing we observed but being part of a health program is clearly positive for mental health and wellbeing by the end of a program.
This workplace health challenge highlights the mental health benefits in a similar way to physical health benefits of these programs. This shows a greater impact than previously demonstrated. Mental health and wellbeing issues play a significant part in absenteeism, reduced productivity and overall decreased quality of life for many individuals. Cost savings for workplaces in terms of mental health are evident with these programs. In combination with other workplace mental health initiatives, these may contribute to the suite of different resources and approaches that improve mental health for those with sub threshold concerns and potentially some benefit for those with more serious mental health issues. This spectrum also requires further investigation.
Evidence indicates that workplace based health promotion programs reduce absenteeism and organisational health care expenditure as described in a systematic review of interventions in large US based firms with an average program duration of 3 years: there the average employee health care costs fell by US$ 3.3 for every 1$ spent on employee wellness programs [35]. However, the real value of workplace wellness programs should include outcomes beyond financial or economic factors, such as physical and mental health, quality of life and other, non-health related factors that improve employee wellbeing, satisfaction and reduce turnover [36].
Our research benefited from a large sample size of participants across a number of countries to fully assess the hypotheses. In terms of limitations, this study did not record diagnoses of mental health issues (including depression and anxiety) which would further elucidate the impact of the program on clinical levels of distress. Secondly, the research did not report on the individual's overall level of activity. This may have been an important consideration as there are clearly individuals who were more active before commencing the program. Ideally this would be co-varied in future studies. Further, all activity levels are self-report and, as participants were involved in the challenge as teams, the data may reflect social desirability biases. Finally, longitudinal follow up of whether people continue to exercise and experience mental health benefits after participating in a workplace based activity challenge needs to be explored to ascertain the sustainability and return of investments of such workplace wellbeing programs. An eight-months follow-up evaluation after a comparable 4-months pedometer-based workplace health program has demonstrated sustained improvement in chronic disease risk factors indicating that such programs can have a long-term benefit [37].
The increasing prevalence of non-communicable diseases such as mental ill health has heightened the need to change lifestyle behaviours and increase physical activity. With most adults spending at least half of their life working, the workplace is an important setting for promoting mental health and wellbeing change [38]. The results of this research indicate that 10,000 step challenges may significantly and meaningfully improve mental health and wellbeing through simple and inexpensive workplace based interventions.
ANCOVA:
Analysis of covariance
BDNF:
Brain derived neurotrophic factor
DASS:
Depression, Anxiety and Stress Scales
WEMWBS:
Warwick-Edinburgh Mental Wellbeing Scale
Bloom D, Cafiero E, Jané-Llopis E, Abrahams-Gessel S, Bloom L, Fathima S, et al. The global economic burden of noncommunicable diseases. Geneva: World Economic Forum; 2011.
De Hert M, Correll CU, Bobes J, Cetkovich-Bakmas M, Cohen D, Asai I, et al. Physical illness in patients with severe mental disorders. I. Prevalence, impact of medications and disparities in health care. World Psychiatry. 2011;10:52–77.
Correll CU, Detraux J, De Lepeleire J, De Hert M. Effects of antipsychotics, antidepressants and mood stabilizers on risk for physical diseases in people with schizophrenia, depression and bipolar disorder. World Psychiatry. 2015;14:119–36.
Funk M, Drew N, Knapp M. Mental health, poverty and development. J Public Mental Health. 2012;11:166–85.
Kakuma R, Minas H, van Ginneken N, Dal Poz MR, Desiraju K, Morris JE, et al. Human resources for mental health care: current situation and strategies for action. Lancet. 2011;378:1654–63.
Booth FW, Chakravarthy MV, Gordon SE, Spangenburg EE. Waging war on physical inactivity: using modern molecular ammunition against an ancient enemy. J Appl Physiol. 2002;93:3–30.
Callaghan P. Exercise: a neglected intervention in mental health care? J Psychiatr Ment Health Nurs. 2004;11:476–83.
Stanton S, Rosenbaum S, Kalucy M, Reaburn P, Happell B. A call to action: exercise as treatment for patients with mental illness. Aust J Prim Health. 2015;21:120–5.
Lucas M, Mekary R, Pan A, Mirzaei F, O'Reilly EJ, Willett WC, et al. Relation between clinical depression risk and physical activity and time spent watching television in older women: a 10-year prospective follow-up study. Am J Epidemiol. 2011;174:1017–27.
Hiles SA, Lamers F, Milaneschi Y, Penninx BWJH. Sit, step, sweat: longitudinal associations between physical activity patterns, anxiety and depression. Psychol Med. 2017;9:1–12.
Cooney GM, Dwan K, Greig CA, Lawlor DA, Rimer J, Waugh FR, et al. Exercise for depression. In: Mead GE, editor. Cochrane database Syst rev, vol. 62. Chichester: John Wiley & Sons, Ltd; 2013. p. CD004366.
Rimmele U, Zellweger BC, Marti B, Seiler R, Mohiyeddini C, Ehlert U, et al. Trained men show lower cortisol, heart rate and psychological responses to psychosocial stress compared with untrained men. Psychoneuroendocrinology. 2007;32:627–35.
Meeusen R, De Meirleir K. Exercise and brain neurotransmission. Sports Med. 1995;20:160–88.
Kvam S, Kleppe CL, Nordhus IH, Hovland A. Exercise as a treatment for depression_ a meta-analysis. J Affect Disord. 2016;202:67–86.
Szuhany KL, Bugatti M, Otto MW. A meta-analytic review of the effects of exercise on brain-derived neurotrophic factor. J Psychiatr Res. 2015;60:56–64.
Smits JAJ, Berry AC, Rosenfield D, Powers MB, Behar E, Otto MW. Reducing anxiety sensitivity with exercise. Depress Anxiety. 2008;25:689–99.
Steptoe A, Deaton A, Stone AA. Subjective wellbeing, health, and ageing. Lancet. 2015;385:640–8.
Salmon P. Effects of physical exercise on anxiety, depression, and sensitivity to stress: a unifying theory. Clin Psychol Rev. 2001;21:33–61.
Brown WJ, Bauman AE, Bull FC, Burton NW. Development of evidence-based physical activity recommendations for adults (18–64 years): report prepared for the Australian Government Department of Health, august 2012. Canberra: Commonwealth of Australia; 2013.
Fletcher GF, Balady G, Blair SN, Blumenthal J, Caspersen C, Chaitman B, et al. Statement on exercise: benefits and recommendations for physical activity programs for all Americans. A statement for health professionals by the committee on exercise and cardiac rehabilitation of the council on clinical cardiology, American Heart Association. Circulation. 1996;94:857–62.
Proper K, van Mechelen W. Effectiveness and economic impact of worksite interventions to promote physical activity and healthy diet. Geneva: World Health Organization; 2008.
Faghri PD, Omokaro C, Parker C, Nichols E, Gustavesen S, Blozie E. E-technology and pedometer walking program to increase physical activity at work. J Prim Prev. 2008;29:73–91.
Ganesan AN, Louise J, Horsfall M, Bilsborough SA, Hendriks J, McGavigan AD, et al. International mobile-health intervention on physical activity, sitting, and weight. J Am Coll Cardiol. 2016;67:2453–63.
Glance DG, Ooi E, Berman Y, Glance CF, Barrett HR. Impact of a digital activity tracker-based workplace activity program on health and wellbeing. DH '16. New York: ACM Press; 2016. p. 37–41.
Alwan A. Global status report on noncommunicable diseases 2010. Geneva: World Health Organization; 2011.
Otto MW, Church TS, Craft LL, Greer TL, Smits JAJ, Trivedi MH. Exercise for mood and anxiety disorders. Prim Care Companion J Clin Psychiatry. 2007;9:287–94.
Lovibond SH, Lovibond PF. Manual for the depression anxiety stress scales. Sydney: The Psychology Foundation of Australia; 1995.
Crawford JR, Henry JD. The depression anxiety stress scales (DASS): normative data and latent structure in a large non-clinical sample. Br J Clin Psychol. 2003;42:111–31.
Brown TA, Chorpita BF, Korotitsch W, Barlow DH. Psychometric properties of the depression anxiety stress scales (DASS) in clinical samples. Behav Res Ther. 1997;35:79–89.
Tennant R, Hiller L, Fishwick R, Platt S, Joseph S, Weich S, et al. The Warwick-Edinburgh mental well-being scale (WEMWBS): development and UK validation. Health Qual Life Outcomes. 2007;5:63.
Bass M, Dawkin M, Muncer S, Vigurs S, Bostock J. Validation of Warwick-Edinburgh mental well-being scale (WEMWBS) in a population of people using secondary care mental health services. J Ment Health. 2016;25:323–9.
Field A. In: Carmichael M, editor. Discovering statistics using IBM SPSS statistics. 4th ed. London: SAGE Publications. London; 2013.
Warner RM. Applied statistics: from Bivariate through multivariate techniques. Thousand Oaks: SAGE; 2012.
LaMontagne AD, Martin A, Page KM, Reavley NJ, Noblet AJ, Milner AJ, et al. Workplace mental health: developing an integrated intervention approach. BMC Psychiatry. 2014;14:131.
Baicker K, Cutler D, Song Z. Workplace wellness programs can generate savings. Health Aff. 2010;29:304–11.
Pronk NP. Placing workplace wellness in proper context: value beyond money. Prev Chronic Dis. 2014;11:E119.
Freak-Poli R, Wolfe R, Brand M, de Courten M, Peeters A. Eight-month postprogram completion: change in risk factors for chronic disease amongst participants in a 4-month pedometer-based workplace health program. Obesity (Silver Spring). 2013;21:E360–8.
Conn VS, Hafdahl AR, Cooper PS, Brown LM, Lusk SL. Meta-analysis of workplace physical activity interventions. Am J Prev Med. 2009;37:330–9.
We thank all study participants for their willingness to provide data for this research project and we are indebted to all co-workers for their enthusiastic support.
The analyses were funded by an unrestricted grant from Stepathlon Ltd. to Victoria University.
The data that support the findings of this study are available from Stepathlon Ltd. but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of Stepathlon.
Centre for Chronic Disease, College of Health and Biomedicine, Victoria University, Melbourne, Australia
K. T. Hallam & M. de Courten
Outlook Matters, Pty Ltd, Melbourne, Australia
K. T. Hallam
Stepathlon Private Limited, No. 2B 25E, Lorette Ville, Ground Floor, Village Bandra, Santacruz West, Main Avenue, Mumbai, India
S. Bilsborough
M. de Courten
Conceptualization was carried out by MdC and KH. MdC, KH and SB were responsible for the methodology. Statistical analyses were carried out by KH, SB and MdC. Drafting of the manuscript was done by KH, SB and MdC. Manuscript was revised and finalized by MdC. All authors read and approved the final manuscript.
Correspondence to M. de Courten.
Participants of this program were provided with a participant information and consent form inviting them to this research. The participants for this research gave their written consent. The project was approved by the Victoria University Human Research Ethics Committee (HRE15–168).
Shane Bilsborough is employed by Stepathlon Ltd. Karen Hallam and Maximilian de Courten were benefactors from the unrestricted grant of Stepathlon to Victoria University.
Hallam, K.T., Bilsborough, S. & de Courten, M. "Happy feet": evaluating the benefits of a 100-day 10,000 step challenge on mental health and wellbeing. BMC Psychiatry 18, 19 (2018). https://doi.org/10.1186/s12888-018-1609-y


⇒ The Transponder Decals of returning students will only be activated after their UConn semester permit fees are fully paid.
Take a ticket from the dispenser as you enter the CT Convention Center Garage.
Park in Section E (Levels 1 - 8).
Go to the LAZ Parking office (in the same parking garage) before departing.
Present the garage ticket along with your UConn ID to the LAZ Parking office attendant.
Using a web application, the LAZ Parking attendant will confirm that you hold an active UConn parking permit.
Once your UConn parking permit status is confirmed, the LAZ Parking attendant will validate your garage ticket using a special device.
Insert the validated ticket into the parking gate equipment upon exiting the garage.
The garage gate will lift and no parking fee payment will be required.
Please note enrolled UConn Area 3 (employee) permit holders will be charged a fee to park in the CT Convention Center Garage ($2/hour; $6/day session maximum).
Hartford campus parking permit holders will access their assigned downtown parking facility using a Transponder decal.
A transponder decal may only be used by the individual to whom it is issued. Transponder decals will be physically 'installed' by LAZ Parking personnel in order to ensure that they are properly placed and remain in good working order. Information related to the installation of these Transponder decals will be provided during the application process.
A $20/fee will be charged to replace any previously installed Transponder decal. The $20 fee associated with the issuance and installation of 'replacement' transponder decals are payable to LAZ Parking, not UConn Parking Services.
A parking garage shuttle provides continuous-loop service between Front Street, Constitution Plaza, the CT Science Center and both Level 2 and Section E of the CT Convention Center Garage between the hours of 6 PM – 10 PM, Monday – Thursday (map). The service is provided using a 14-passenger accessible vehicle.
Downtown Hartford student permit/transponder decal holders who require access to Waterbury student parking (at the Scovill Garage) should inform Parking Services of that fact via email sent to parkingservices@uconn.edu; a Scovill garage decal will be provided once the need for the second permit has been confirmed.
Don't leave your vehicle unlocked.
Don't leave your vehicle parked overnight in the garage unless you have received written permission form UConn Parking services; the needed arrangements will be finalized with LAZ Parking on your behalf.
Use trash receptacles which are available on all floors and by each elevator; don't litter.
Only those displaying valid state-issued "handicap" placards or registration plates can legally use spaces designated for "handicap" parking.
Only plug-in vehicles are authorized to use spaces associated with Electric Vehicle (EV) charging stations.
Park in only one vehicle parking space (between stall lines) and not across two or more parking spaces.
A vehicle will be deemed abandoned when it is parked within a Downtown Hartford garage more than one (1) week without being used and without notice to the Capitol Region Development Authority or its garage operator (LAZ Parking) and may be towed from the facility.
The speed limit in the CT Convention Center Garage, the CT Science Center Garage, and the North Front Street Garage is 7 MPH. Patrons of these parking facilities include children and the elderly: DO NOT SPEED. Those who speed, fail to obey traffic or regulatory signs posted in these facilities, or park in any areas other than Section E (levels 1 - 8) while in the CT Convention Center garage will be warned upon their first and second offences. Upon the third offence the vehicle involved in the violation may be towed. Upon the fourth offence, the transponder decal associated with the vehicle involved in the violation may be expired and the parking contract with its holder may be terminated.
Convention Center Garage = 7'6"
Science Center Garage = 7'0"
North Front Street Garage = 6'6"
For students who attend the UConn Graduate Business Learning Center: parking is included in your tuition. Please contact the school at (860) 728-2400 for more information.


text:
Lenovo Z5 Pro with Snapdragon 710, Alert Slider and More Launched
By	Somnath Brahma
Chinese technology company Lenovo has launched a new smartphone called Lenovo Z5 Pro. The device becomes the successor to Lenovo Z5 launched earlier this year and features an all-screen no-notch design. The device also comes with a new slider mechanism.
The Lenovo Z5 Pro will be available in China starting November 1 and is expected to be launched in other countries in the coming days. Talking about the price, the base variant of the device with 6GB RAM and 64GB internal storage has been priced at 1998 Yuan (Rs 21,000 approximately) and the premium variant with 6GB RAM and 128GB of inbuilt storage has been priced at 2298 Yuan (Rs 24,000 approximately).
Coming to the specifications, the Lenovo Z5 Pro sports a 6.39-inch AMOLED display with a resolution of 2340 X 1080 pixels. It is protected on the top by 2.5D Curved Gorilla Glass. Powered by a Qualcomm Snapdragon 710 SoC under the hood, the device features 6GB of RAM and 64GB or 128GB of inbuilt storage space. It also features an in-display fingerprint sensor as an added security measure.
On the optics front, the Lenovo Z5 Pro features dual camera setup on the rear panel with a 16-megapixel primary sensor and a 24-megapixel secondary sensor. On the front, it features a 16-megapixel primary RGB sensor and an 8-megapixel IR camera for face unlocking even in low light conditions.
Connectivity options in the Lenovo Z5 Pro include both 4G LTE and VoLTE. Other options include Bluetooth 5.0, dual channel WiFi 802.11 ac, GPS and NFC. The smartphone is powered by a 3350mAh battery with a USB Type-C port for charging. It does not feature the 3.5mm headphone connector jack.
The smartphone runs on ZUI 10 based on Android 8.1 Oreo out of the box and there is no information currently about the availability of Android 9 Pie. The company is yet to announce the launch date and price of the smartphone for the Indian markets.
TagsLenovoLenovo Z5 Pro
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Somnath Brahma
Somnath is a tech enthusiast. He loves to read and write about the latest developments in the world of technology. When not writing he spends time watching cricket, formula 1 and movies.
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To read a history of rural health care in Kansas, visit the KU website.
The University of Kansas School of Medicine ranks in the top 10 percent for producing graduates who practice in rural areas, according to the Association of American Medical Colleges.
In 2007, the Office of Rural Medical Education was established. Our mission is to give students a comprehensive understanding of what practicing rewarding, high quality health care in rural Kansas is like by fostering educational experiences in rural settings.
In 2011, KU opened a campus in Salina for students who want to practice rural medicine. With eight students admitted each year, the Salina campus is the smallest four-year medical school in the country but has a curriculum identical to that of the school's other two campuses in Kansas City, Kan., and Wichita.
Photos by Michael Kennedy, M.D.


text:
Q: How do I pass a file back from the FileSystemWatcher WPF C# WPF Application, C#, MVVM pattern.
My application watches a folder on the network. When a file gets created in that folder I want to parse the data from the file and store the parsed information in a collection. Then move the original file to another folder on the network. My problem is that I cannot move the parsed file from the thread watching the folder to the thread with the collection and the UI. My latest attempt was to try a delegate, but I don't think I have that right.
    private ObservableCollection<TestFile> destinationFiles=new ObservableCollection<TestFile>();
        public string DestinationFolder
        {
            get { return destinationFolder; }
            set
            {
                if (destinationFolder != value)
                {
                    destinationFolder = value;
                    UpdateFileList("Destination");
                }
                RaisePropertyChanged();
            }
        }

    public MainWindowViewModel()
    {
        watcher.NotifyFilter = NotifyFilters.LastWrite;
        watcher.Created += new FileSystemEventHandler(OnCreated);
        watcher.Changed += new FileSystemEventHandler(OnChanged);
    }

    public delegate void GetFileDelegate(string str);
    public void OnCreated(object sender, FileSystemEventArgs e)
    {
        string name = e.FullPath;
        GetFileDelegate del = new GetFileDelegate(GetFile);
        Dispatcher.CurrentDispatcher.Invoke(del, name);
    }

    public void GetFile(string name)
    {

        TestFile tst = new TestFile(name);
        FileName = name;

        DestinationFiles.Add(tst); //Here is the exception!

    }

The mainwindowviewmodel sets up the FileSystemWatcher. Code for selecting folders and all of that has been left out for brevity, but the constructor is complete as shown.
This runs to the point of updating the Collection: DestinationFiles.Add(tst). Here the exception is thrown for trying to update the collection from a thread different from the Dispatcher thread.
The FileSystemWatcher does not have a "ReportProgress" method as the Background worker has. So I cannot pass back the file through that. I have found a few "examples" showing how to update the UI from the FileSystemWatcher. None found were newer than 2012. Those found did not include code examples that would compile. Others found ignored the WPF and MVVM part of the search string.

A: Use Application.Current.Dispatcher instead of Dispatcher.CurrentDispatcher See the difference: Dispatcher.CurrentDispatcher vs. Application.Current.Dispatcher

A: When you call Dispatcher.CurrentDispatcher you're using the current worker thread. In order to make the call on the UI thread in WPF you should use instead:
Application.Current.Dispatcher.Invoke(del, name);

redpajama_set_name: RedPajamaStackExchange


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