Of these 1,567 participants, 400 were assigned to two weekly sessions of high intensity interval training (HIIT), 387 were assigned to moderate intensity continuous training (MICT), and 780 to follow the Norwegian guidelines for physical activity (control group), all for five years.
After five years, the overall mortality rate was 4.6% (72 participants).
The researchers found no difference in all cause mortality between the control group (4.7%, 37 participants) and combined HIIT and MICT group (4.5%, 35 participants).
They also found no differences in cardiovascular disease or cancer between the control group and the combined HIIT and MICT group.
…young, healthy men (aged 22 — 37) who volunteered for the trial consumed almost twice as much pizza when pushing beyond their usual limits, doubling their calorie intake, yet, remarkably, managed to keep the amount of nutrients in the bloodstream within normal range.
Aaron Hengist, Robert M. Edinburgh, Russell G. Davies, Jean-Philippe Walhin, Jariya Buniam, Lewis J. James, Peter J. Rogers, Javier T. Gonzalez, James A. Betts. Physiological responses to maximal eating in men. British Journal of Nutrition, 2020; 124 (4): 407 DOI: 10.1017/S0007114520001270
Previous studies have been done on step counts and mortality. However, they were conducted primarily with older adults or among people with debilitating chronic conditions. This study tracked a representative sample of U.S. adults aged 40 and over; approximately 4,800 participants wore accelerometers for up to seven days between 2003 and 2006. The participants were then followed for mortality through 2015 via the National Death Index. The researchers calculated associations between mortality and step number and intensity after adjustment for demographic and behavioral risk factors, body mass index, and health status at the start of the study.
They found that, compared with taking 4,000 steps per day, a number considered to be low for adults, taking 8,000 steps per day was associated with a 51% lower risk for all-cause mortality (or death from all causes). Taking 12,000 steps per day was associated with a 65% lower risk compared with taking 4,000 steps. In contrast, the authors saw no association between step intensity and risk of death after accounting for the total number of steps taken per day.
“When we controlled for historical life expectancy, we found three additional community factors that each exert a significant negative effect — a greater number of fast food restaurants, higher population density, and a greater share of jobs in mining, quarrying, and oil and gas extraction,” Dobis said. “For example, for every one percentage point increase in the number of fast food restaurants in a county, life expectancy declined by .004 years for men and .006 years for women.”
Journal Reference: Elizabeth A. Dobis, Heather M. Stephens, Mark Skidmore, Stephan J. Goetz. Explaining the spatial variation in American life expectancy. Social Science & Medicine, 2020; 246: 112759 DOI: 10.1016/j.socscimed.2019.112759
The highest probability of reaching 90 years of age (longevity) was found for men and women drinking 5– < 15 g alcohol/day (or 0.5–1.5 glass/day); the exposure–response relationship was significantly non-linear in women.
Usual drinking pattern and binge drinking were not significantly associated with longevity, but the risk estimates indicate to avoid binge drinking.
The estimated modest risk ratios (RRs) should not be used as motivation to start drinking if one does not drink alcoholic beverages.
We found statistically significant positive associations between baseline alcohol intake and the probability of reaching 90 years in both men and women. Overall, the highest probability of reaching 90 was found in those consuming 5– < 15 g/d alcohol, with RR = 1.36 (95% CI, 1.20–1.55) when compared with abstainers. The exposure-response relationship was significantly non-linear in women, but not in men. Wine intake was positively associated with longevity (notably in women), whereas liquor was positively associated with longevity in men and inversely in women. Binge drinking pointed towards an inverse relationship with longevity. Alcohol intake was associated with longevity in those without and with a history of selected diseases.
OBJECTIVE We examined the frequency of diabetic ketoacidosis (DKA) in cannabis users compared with nonusers in the T1D Exchange clinic registry (T1DX).
RESEARCH DESIGN AND METHODS The association between cannabis use by total substance score for cannabis (TSC) and DKA in the past 12 months was examined using a logistic regression model adjusted for potential confounders among adults in the T1DX.
RESULTS Of 932 adults with type 1 diabetes, 61 had a TSC >4, which classified them as moderate cannabis users. Adjusting for sex, age at study visit, and HbA1c, cannabis use was associated with a twofold increase in risk for DKA among adults with type 1 diabetes (odds ratio 2.5 [95% CI 1.0–5.9]).
CONCLUSIONS Cannabis use was associated with an increased risk for DKA among adults in the T1DX. Providers should inform their patients of the potential risk of DKA with cannabis use.