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?
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?