Table 4.
Subgroup analyses of the association between alcohol consumption and risk of kidney stones according to types of alcohol consumed most commonly.
Strong Spirits (n = 274,421) | Other Types of Alcohol a (n = 279,198) | |||||
---|---|---|---|---|---|---|
Cases | Cases/PYs (/10,000) | HR (95% CI) | Cases | Cases/PYs (/10,000) | HR (95% CI) | |
Never | 6146 | 24.03 | 1.00 | 6146 | 24.03 | 1.00 |
Weekly b | 487 | 39.04 | 0.89 (0.81, 0.99) | 258 | 13.31 | 0.97 (0.84, 1.12) |
Daily (mL/day) | ||||||
0–100 | 406 | 38.86 | 0.84 (0.76, 0.94) | 65 | 13.70 | 0.96 (0.74, 1.23) |
101–200 | 310 | 36.16 | 0.71 (0.63, 0.81) | 79 | 14.30 | 0.90 (0.71, 1.14) |
201–300 | 167 | 40.91 | 0.77 (0.65, 0.91) | 74 | 15.69 | 0.95 (0.75, 1.21) |
>300 | 43 | 35.50 | 0.68 (0.50, 0.92) | 117 | 13.39 | 0.92 (0.76, 1.13) |
p for trend c | 0.360 | 0.580 |
Abbreviations: HR, hazard ratio; CI, confidence interval; PYs, person years. Adjusted covariates in the models were consistent with model 3 in Table 2. a Other types of alcohol included beer, rice wine, wine, and weak spirits. b Participants who consumed alcohol only occasionally, only during certain seasons, or monthly but less than weekly were not included in the analysis because they were not asked to report the commonly consumed alcohol type. c Tests for linear trend were conducted in daily drinkers by assigning the median value of alcohol drinking (in milliliters per day) to each of the categories as continuous variables in regression models.