Skip to main content
. Author manuscript; available in PMC: 2020 Nov 4.
Published in final edited form as: Am J Drug Alcohol Abuse. 2020 Mar 16;46(5):531–545. doi: 10.1080/00952990.2020.1712410

Table 4.

AUDIT and AUDIT-C cutoff score analysis in the overall sample and by gender.

Overall Sample Males Females
Score Sensitivity Specificity J PPV NPV Sensitivity Specificity J PPV NPV Sensitivity Specificity J PPV NPV
AUDIT
1 1.000 .017 .017 .402 1.000 1.000 .015 .015 .421 1.000 1.000 .019 .019 .389 1.000
2 .967 .226 .193 .452 .912 .980 .149 .129 .452 .912 .960 .259 .219 .447 .912
3 .934 .422 .356 .517 .906 .980 .299 .279 .500 .954 .911 .475 .386 .520 .895
4 .836 .613 .449 .588 .850 .900 .522 .422 .574 .879 .802 .648 .450 .587 .840
5 .750 .752 .502 .667 .820 .860 .627 .487 .623 .862 .693 .802 .495 .686 .807
6 .684 .826 .510 .722 .798 .800 .687 .487 .646 .828 .624 .883 .507 .769 .790
7 .592 .870 .462 .751 .763 .760 .746 .506 .682 .813 .505 .920 .425 .797 .749
8 .493 .900 .393 .765 .729 .660 .806 .466 .709 .768 .406 .938 .344 .803 .717
9 .441 .922 .363 .789 .714 .620 .836 .456 .730 .755 .347 .957 .304 .834 .702
10 .388 .948 .336 .831 .701 .560 .881 .441 .771 .737 .307 .975 .282 .884 .693
11 .342 .965 .307 .866 .689 .540 .925 .465 .837 .738 .248 .981 .229 .891 .677
12 .270 .978 .248 .890 .670 .420 .940 .360 .834 .694 .198 .994 .192 .954 .665
13 .217 .983 .200 .894 .655 .360 .955 .315 .851 .676 .149 .994 .143 .939 .652
14 .178 .991 .169 .929 .646 .300 .985 .285 .935 .663 .119 .994 .113 .925 .644
15 .151 .991 .142 .917 .638 .280 .985 .265 .930 .657 .089 .994 .083 .902 .636
AUDIT-C
1 1.000 .017 .017 .402 1.000 1.000 .025 .025 .390 1.000
2 .921 .278 .199 .458 .842 .940 .209 .149 .459 .830 .911 .309 .220 .451 .848
3 .822 .530 .352 .536 .818 .900 .403 .303 .519 .849 .782 .586 .368 .541 .812
4 .632 .717 .349 .596 .747 .800 .612 .412 .596 .811 .545 .759 .304 .585 .728
5 .461 .835 .296 .649 .701 .640 .701 .341 .605 .731 .376 .889 .265 .679 .696
6 .342 .913 .255 .722 .677 .520 .791 .311 .640 .697 .257 .963 .220 .812 .675
7 .230 .948 .178 .745 .651 .420 .866 .286 .692 .676 .139 .981 .120 .820 .646
8 .125 .974 .099 .761 .627 .260 .910 .170 .674 .632 .059 1.000 .059 1.000 .630
9 .086 .978 .064 .721 .618 .220 .925 .145 .677 .624 .020 1.000 .020 1.000 .621
10 .053 .996 .049 .898 .614 .160 .985 .145 .884 .621

Note: Optimal cutoff scores are shaded in gray and interpreted as “greater than or equal to” a given value.