Table 1.
Gender-specific Sociodemographic and lifestyle characteristics of the study population
| Characteristics | Overall ((N) %) | Male ((N) %) | Female ((N) %) | P-value |
|---|---|---|---|---|
| Age | ||||
| 35–45 | 3836 (39) | 1526 (37.9) | 2310 (39.8) | 0.018 |
| 45–55 | 3234 (32.9) | 1312 (32.6) | 1922 (33.1) | |
| 55–65 | 2052 (20.9) | 902 (22.4) | 1150 (19.8) | |
| 65–70 | 706 (7.2) | 286 (7.1) | 420 (7.2) | |
| Marital status | ||||
| Single | 343 (3.5) | 40 (1) | 303 (5.2) | ≤ 0.001 |
| Married | 8603 (87.5) | 3949 (98.1) | 4654 (80.2) | |
| Widow | 717 (7.3) | 19 (0.5) | 698 (12) | |
| divorced | 165 (1.7) | 18 (0.4) | 147 (2.5) | |
| Wealth index | ||||
| Poorest | 1959 (19.9) | 647 (16.1) | 1312 (22.6) | ≤ 0.001 |
| Poor | 1999 (20.3) | 729 (18.1) | 1270 (21.9) | |
| Moderate | 1952 (19.9) | 821(20.4) | 1131(19.5) | |
| Rich | 1979 (20.1) | 880 (21.9) | 1099 (18.9) | |
| Richest | 1939 (19.7) | 949 (23.6) | 990 (17.1) | |
| Having | ||||
| Hypertension | 2608 (26.5) | 943 (23.4) | 1665 (28.7) | ≤ 0.001 |
| Cardiac Ischemic | 1340 (13.6) | 447(11.1) | 893 (15.4) | ≤ 0.001 |
| Myocardial infarction | 184 (1.9) | 88 (2.2) | 96 (1.7) | 0.056 |
| Stroke | 158 (1.6) | 70 (1.7) | 88 (1.5) | 0.39 |
| Prediabetes * | 2265 (23) | 842 (37.2) | 1423 (62.8) | ≤ 0.001 |
| Diabetes * | 1691 (17) | 726 (42.9) | 965 (57.1) | ≤ 0.001 |
| Using mobile | 7598 (77.3) | 3794 (94.2) | 3804 (95.6) | ≤ 0.001 |
| Smoking cigarette | 2075 (21.1) | 1635 (40.6) | 440 (7.6) | ≤ 0.001 |
| Drinking Alcohol | 197 (2) | 191 (4.7) | 6 (0.1) | ≤ 0.001 |
| Physical activity | ||||
| Quantile 1 (Inactive) | 3278 (33.4) | 1547 (38.4) | 1731 (29.8) | ≤ 0.001 |
| Quantile 2 (Moderate) | 3283 (33.4) | 840 (20.9) | 2443 (42.1) | |
| Quantile 3 (Active) | 3267 (33.2) | 1639 (40.7) | 1628 (28.1) | |
| Body mass index (kg/cm2) | ||||
| < 18.5 | 146 (1.5) | 70 (1.7) | 76 (1.3) | ≤ 0.001 |
| 18.5–24.99 | 2213 (22.5) | 1146 (28.5) | 1067 (18.4) | |
| 25–29.99 | 3652 (37.2) | 1706 (42.4) | 1946 (33.5) | |
| > 30 | 3817 (38.8) | 1104 (27.4) | 2713 (46.8) | |
The Chi-square test was used to assess the significant difference among sociodemographic and lifestyle characteristics by genders. P-value ≤ 0.05 was considered significant
*Based on Fasting Blood Sugar, it was categorized