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Each detailed location in the game is a living sandbox, expanding and evolving over time with new scenes, missions and hits, downloaded via PlayStation Network. And dont forget to stay one step ahead of your rivals with PlayStation 4 exclusive contracts.
Direct Downloads (right click, select Save Target As) Episode 150 (High Def 1.32 GB) Episode 150 (764 MB - H.264 - MP4 - iPod) Episode 150 (AUDIO Podcast 86.1 MB MP3)
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Cross-sectional evidence among adults with depression and symptoms of appetite change, closely related to symptoms of weight change, suggests that depression with increased appetite is associated with poorer metabolic functioning. Adults with depressive episodes that included increased appetite had higher BMI values, a higher number of metabolic syndrome components, and increased markers of inflammation5,6. Adults with depressive symptoms that included decreased appetite had lower BMI values, smaller waist circumferences, fewer metabolic syndrome components, and lower levels of inflammation5. These findings suggest that adults with depression and increased appetite, and those with depression-related weight gain, may have poorer metabolic health and may be more likely to develop type 2 diabetes.
Evidence from longitudinal studies has focused on clusters of depressive symptoms rather than individual symptoms. In the DSM-V, depressive episodes with atypical features include symptoms of mood reactivity and at least two of the following: increased appetite or weight gain, hypersomnia, leaden paralysis, and interpersonal rejection sensitivity7. Melancholic features of depression include either loss of energy or lack of mood reactivity as well as three of the following: decrease in appetite or weight loss, depression that is worse in the morning, early morning awakening, psychomotor change, and excessive guilt7. In a community population, adults with a history of depressive episodes with atypical features had higher increases in fasting glucose over 5 years compared to adults with no depressive episodes8. Adults with melancholic features of depression did not have higher increases in fasting glucose over this period8. Atypical depression is also longitudinally associated with other indicators of metabolic dysregulation, including increased obesity, metabolic syndrome, and inflammatory markers9,10. Findings from these studies suggest that adults with depression-related weight gain, a component of atypical depression, may have a higher risk of type 2 diabetes. Notably, atypical depression is more common in women and associations between depressive symptoms and diabetes may be stronger among women11,12. However, prior work has not examined sex differences in associations between depressive subtypes and metabolic outcomes.
The primary objective of this study was to compare the incidence of type 2 diabetes over 20 years in community-dwelling adults with recent depressive episodes that included symptoms of weight gain, weight loss, or no weight change, and in adults without recent depressive episodes. Our primary analysis also estimated sex-stratified associations. We expected that adults with depression-related weight gain would have an increased incidence of type 2 diabetes compared to all other groups. As a secondary objective, we estimated these associations when accounting for attained overweight and obesity after a depressive episode.
The analytic sample included 59,315 participants, of whom 3965 (6.7%) reported a depressive episode in the past 12 months. Five hundred and sixty-two people (0.9%) had depression-related weight gain, while 873 (1.5%) had depression-related weight loss and 2530 (4.3%) had depression without significant weight change. Participants with depressive episodes, regardless of symptoms of weight change, were younger, more often female, had lower household income, were less likely to be married or common-law, and were more likely to identify as white (Table 1). Participants with depressive episodes were also more likely to currently smoke, had a higher prevalence of overweight and obesity, and were more likely to be using antidepressants at the time of interview compared to those without depressive episodes (Table 1). Among participants with depression, those with symptoms of weight gain were most often female, had the highest prevalence of attained overweight and obesity, and were the most likely to be using antidepressants at the time of survey (Table 1). Participants with depression-related weight loss were more often men, reported the highest prevalence of current smoking and heart disease, and had the lowest prevalence of attained overweight and obesity (Table 1).
These findings provide evidence that the risk of type 2 diabetes differs in adults with depressive episodes with symptoms of weight gain, weight loss, or no weight change compared to adults with no depression. In a population-based sample, adults with depression-related weight gain had a 70% increased risk of type 2 diabetes over 20 years compared to those with no depression. Adults with depression but no symptoms of significant weight change had a 23% increased risk. Conversely, adults with depression with symptoms of weight loss were not at increased risk of type 2 diabetes. These results also suggest sex-specific associations, as depression-related weight gain was associated with incident type 2 diabetes among women only. Assessing symptoms of weight change in depression may aid in identifying adults with depression at highest risk of type 2 diabetes, particularly among women.
Several limitations should be considered when interpreting these results. Due to limitations of the CIDI-SF, we could not estimate associations between other symptoms of depression and incidence of type 2 diabetes, notably symptoms of increased or decreased appetite. Our outcome measure could not distinguish between incident type 1 and type 2 diabetes, though the vast majority of diabetes cases diagnosed after age 30 are type 2 diabetes40. The outcome was limited to physician-diagnosed diabetes only and did not include laboratory measures of glucose levels or HbA1c or use of medication for diabetes. The prevalence of undiagnosed diabetes was estimated at 3.4% among the Canadian population from 2009 to 201141. However, our considerable follow-up time likely minimized the impact of undiagnosed diabetes and diagnostic delays in this study. There may also be unmeasured confounding as we could not adjust for other psychiatric comorbidities, medication use, or clinical measures such as blood pressure values and cholesterol levels. Nonetheless, we have adjusted for all confounders associated with diabetes in a risk prediction model in Canada42. There may be misclassification of hypertension and heart disease due to underreported or undiagnosed conditions, although agreement between self-report and administrative data for these conditions has been reported as moderate to good43,44. Finally, we only had information on weight change for study participants who reported a recent depressive episode. We therefore could not compare diabetes incidence between adults with depression-related weight change and weight change unrelated to depression.
Just about everything we use the internet for relies on download speeds. You probably don't think about it when you're streaming the latest House of the Dragon episode or shopping online for a new iPhone case, but that activity involves downloading data from the internet.
The faster your speed, the better your experience is likely to be. Speeds of 100Mbps and higher are often sufficient download speeds, but what constitutes a "good" download speed will vary for every household and the number of connected devices.
What determines how quickly and easily you can perform these tasks? You guessed it: your upload speeds. When it comes to your upload speeds, again, faster is better, but you can get by with upload speeds that are slower than your download speed.
The FCC considers any upload speed of 3Mbps or higher as "broadband." However, the FCC set this speed threshold (with its broadband download speed of 25Mbps) back in 2015 and has since received bipartisan congressional pressure to raise the bar on what is officially considered broadband.
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