Research Article

Effect of Beverage Consumption Frequency on DMFT Index among Iranian Adult Population: An AZAR Cohort Study

Table 1

Beverage consumption status in participants.

GroupGenderNever N (%)Occasionally N (%)Weekly N (%)Daily N (%) valuea

Milk derivativesMale598 (9.0)1689 (25.3)2789 (41.8)1602 (24.0)<0.001
Female1084 (13.1)2040 (24.6)2971 (35.8)2195 (26.5)
Total1682 (11.2)3729 (24.9)5760 (38.5)3797 (25.4)

DooghMale497 (7.4)2238 (33.5)3153 (47.2)790 (11.8)<0.001
Female876 (10.6)3189 (38.5)3260 (39.3)965 (11.6)
Total1373 (9.2)5427 (36.3)6413 (42.8)1755 (11.7)

Tea and coffee beveragesMale48 (0.7)18 (0.3)94 (1.4)6518 (97.6)<0.001
Female79 (1.0)33 (0.4)275 (3.3)7901 (95.3)
Total127 (0.8)51 (0.3)369 (2.5)14419 (96.3)

Natural fruit juice and nonalcoholic beerMale1222 (18.3)3247 (48.6)2103 (31.5)106 (1.6)<0.001
Female2823 (34.1)3931 (47.4)1479 (17.8)57 (0.7)
Total4045 (27.0)7178 (48.0)3582 (23.9)163 (1.1)

Sugar-sweetened soft beveragesMale795 (11.9)2536 (38.0)3003 (45.0)344 (5.2)<0.001
Female1750 (21.1)3617 (43.6)2676 (32.3)247 (3.0)
Total2545 (17.0)6153 (41.1)5679 (37.9)591 (3.9)

aChi-square test, statistically significant.