Since those are rare causes of deaths, they don’t matter and they’re hard to measure. Also, this is a small study, so I trust earlier studies more.
Since those are rare causes of deaths, they don’t matter and they’re hard to measure.
Per the paper’s table 2, deaths in the lifetime abstainer group were, as a fraction of all deaths in the group:
CVD: 13,562 (34%)
Cancer: 8,169 (20%)
CLRT: 2,030 (5%)
Alzheimer’s:1,730 (4%)
Diabetes: 1574: (4%)
Accidents: 1331 (3%)
Flu and pneumonia: 952 (2%)
Kidneys: 895 (2%)
Light drinking mortality relative to lifetime abstainers, with full controls (“model 2”):
CVD: 0.76 (0.73–0.80)
Cancer: 0.86 (0.81–0.91)
CRLT: 0.68 (0.60–0.76)
Alzheimer’s: 0.68 (0.59–0.78)
Diabetes 0.72 (0.61–0.84)
Accidents: 0.96 (0.83–1.11)
Flu and pneumonia: 0.63 (0.52–0.75)
Kidneys: 0.66 (0.54–0.81)
This really doesn’t look like “the study is great, and the underlying effect is entirely alcohol reducing CVD”.
this is a small study, so I trust earlier studies more.
There are 40k lifetime abstainer and 26k light drinker deaths; how much bigger are the studies you prefer?
Since those are rare causes of deaths, they don’t matter and they’re hard to measure. Also, this is a small study, so I trust earlier studies more.
Per the paper’s table 2, deaths in the lifetime abstainer group were, as a fraction of all deaths in the group:
CVD: 13,562 (34%)
Cancer: 8,169 (20%)
CLRT: 2,030 (5%)
Alzheimer’s:1,730 (4%)
Diabetes: 1574: (4%)
Accidents: 1331 (3%)
Flu and pneumonia: 952 (2%)
Kidneys: 895 (2%)
Light drinking mortality relative to lifetime abstainers, with full controls (“model 2”):
CVD: 0.76 (0.73–0.80)
Cancer: 0.86 (0.81–0.91)
CRLT: 0.68 (0.60–0.76)
Alzheimer’s: 0.68 (0.59–0.78)
Diabetes 0.72 (0.61–0.84)
Accidents: 0.96 (0.83–1.11)
Flu and pneumonia: 0.63 (0.52–0.75)
Kidneys: 0.66 (0.54–0.81)
This really doesn’t look like “the study is great, and the underlying effect is entirely alcohol reducing CVD”.
There are 40k lifetime abstainer and 26k light drinker deaths; how much bigger are the studies you prefer?