A pizza study.
You can’t make this stuff up.
…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.
Pizza study shows body copes surprisingly well with one-off calorie indulgence
Journal reference and link
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.
Higher daily step count linked with lower all-cause mortality
I am so screwed.
“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.”
Community factors influence how long you’ll live
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
Vaporizing and inhaling an oily liquid is bad? Go figure…
American Thoracic Society
PUBLIC HEALTH | INFORMATION SERIES
Diseases Associated with VAPI
The following patterns of lung injury have been reported with VAPI:
■■Acute eosinophilic pneumonia
■■Acute lung injury and acute respiratory distress syndrome
■■Acute and subacute hypersensitivity pneumonitis
■■Acute eosinophilic pneumonia
■■Diffuse alveolar hemorrhage
■■Respiratory bronchiolitis-associated pneumonitis
Nearly 300 New Cases of Vaping-Related Lung Disease This Week
Teen e-cigarette use doubles since 2017
Boosting daily nut consumption linked to less weight gain and lower obesity risk
Increasing nut consumption by just half a serving (14 g or ½ oz) a day is linked to less weight gain and a lower risk of obesity, suggests a large, long term observational study, published in the online journal BMJ Nutrition, Prevention & Health.
Xiaoran Liu, Yanping Li, Marta Guasch-Ferré, Walter C Willett, Jean-Philippe Drouin-Chartier, Shilpa N Bhupathiraju, Deirdre K Tobias. Changes in nut consumption influence long-term weight change in US men and women. BMJ Nutrition, Prevention & Health, 2019; bmjnph-2019-000034 DOI: 10.1136/bmjnph-2019-000034
Eating nuts linked with lower risk of fatal heart attack and stroke
Eating nuts two or more times per week was associated with a 17% lower risk of cardiovascular mortality compared to consuming nuts once every two weeks. The connection was robust even after adjusting for factors that could influence the relationship such as age, sex, education, smoking, and physical activity. Nut intake was inversely associated with the other outcomes but lost significance after adjustment.