Table 2. Univariate logistic regression analysis to assess relationships between associated risk factor and hypertension in the rural communities in Thailand.
| Crude Odds ratio | 95% CI* | p-value | |
|---|---|---|---|
| Gender | |||
| Male | 1.00 | ||
| Female | 0.73 | 0.56–0.96 | 0.022 |
| Age (10 years) | 1.17 | 1.06–1.29 | 0.003 |
| Age | |||
| 20–39 | 1.00 | ||
| 40–59 | 1.31 | 0.83–2.10 | 0.256 |
| ≥ 60 years old | 1.81 | 1.12–2.90 | 0.015 |
| Body Mass Index (kg/m 2 ) | |||
| <23 | 1.00 | ||
| 23–24.99 | 1.56 | 1.08–2.24 | 0.018 |
| 25–29.99 | 1.93 | 1.38–2.69 | <0.001 |
| ≥30 | 3.19 | 2.01–5.07 | <0.001 |
| Body Mass Index (kg/m2) (continuous variable) | 1.09 | 1.06–1.12 | <0.001 |
| Waist circumference (cm) | |||
| Normal (< 90 in male, < 80 in female) | 1.00 | ||
| obesity (≥ 90 in male, ≥ 80 in female) | 1.77 | 1.35–2.32 | <0.001 |
| Waist circumference (cm) (continuous variable) | 1.05 | 1.03–1.06 | <0.001 |
| Neck circumference (cm) | |||
| < 37.5 in male, < 32.5 in female | 1.00 | ||
| ≥ 37.5 in male, ≥ 32.5 in female | 1.39 | 1.06–1.82 | 0.020 |
| Neck circumference (cm) (continuous variable) | 1.11 | 1.05–1.16 | <0.001 |
| Occupation | |||
| Others | 1.00 | ||
| Agriculture | 2.16 | 1.46–3.17 | <0.001 |
| Employee | 1.40 | 0.71–2.74 | 0.327 |
| Merchant | 2.44 | 1.12–5.31 | 0.025 |
| Officer | 0.39 | 0.05–3.08 | 0.371 |
| Unemployed | 1.98 | 1.18–3.12 | 0.009 |
| Smoking | |||
| Non-smoker | 1.00 | ||
| Ex-smoker | 1.39 | 0.95–2.04 | 0.091 |
| Smoker | 1.38 | 0.99–1.93 | 0.060 |
| Alcohol drinking | |||
| Non-drinker | 1.00 | ||
| Ex-drinker | 1.09 | 0.76–1.55 | 0.643 |
| Alcoholic | 1.15 | 0.85–1.57 | 0.355 |
| Pre-existing diabetes mellitus | 2.18 | 1.44–3.32 | <0.001 |
| Pre-existing dyslipidemia | 2.22 | 1.53–3.23 | <0.001 |
| Activity | |||
| Not recommend (< 600 MET**-minutes per week) | 1.00 | ||
| Recommend (≥ 600 MET-minutes per week) | 0.85 | 0.64–1.14 | 0.279 |
| Family history of hypertension | 1.25 | 0.89–1.75 | 0.193 |
*CI: Confidence Interval;
**MET: Metabolic Equivalent.