Age, BMI, alcohol consumption, and senior staff grade independently and positively associated with BP in men. In women, only BMI independently associated with BP.
BP related to age in senior staff but not in junior staff in males. BP not significantly related to age in females.
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Correlation with SBP and DBP, and 0.29 in male senior staff. In male junior staff, and 0.26, respectively.
Alcohol drinking positively associated with BP in men but not in women.
Staff grade (senior staff) positively associated with BP in men but not in women.
Age- and BMI-adjusted DBP in male civil servants in the 25–54 age group significantly higher in senior staff than in junior staff (75.7 versus 73.3 mmHg, ). In contrast, the adjusted SBP was lower in senior staff than in junior staff, but difference was not statistically significant.
In both sexes combined, age, sex, and BMI were highly significant for both SBP and DBP. Further, plasma glucose predicted SBP but not DBP. In men and women, age and BMI were significantly associated with BP.
Age determinant for SBP and DBP in both sexes separately and combined.
When both sexes combined, male sex is a determinant
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BMI predicts both SBP and DBP.
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Plasma glucose, family history of diabetes.
BMI, glucose, age, and sex.
Multivariate ANOVA model
Civil servants, factory and plantation workers [12]
Calabar
Sex, age, marital status, number of children in the family, salary scale, tobacco consumption, and weight associated with SBP. Number of children in the family and salary scale associated with DBP. Occupation, educational level, support system, and height were protective of SBP.
Increasing age
Male sex
Weight
Salary scale for both SBP and DBP.
Marital status, parity, and tobacco use associated with SBP. Occupation, educational level, support system, and height were protective of SBP.
Sex, age, marital status, number of children, occupation, educational level, salary scale, social security, ethnicity, tobacco, alcohol, height, weight, SBP, and DBP.
Multiple linear regression
Retired railway workmen, rural farmers ≥ 45 years [60]
Idere village & Ibadan
BMI, waist circumference, radial pulse, and urinary sodium : potassium ratio were positively and significantly associated with blood pressure. Ambient temperature, nonmigrant status, and number of children were negatively associated with mean blood pressure.
Age ≥ 55 years strongly associated with SBP in men.
BMI positively and significantly associated with SBP and DBP in men, but not in women.
Nonmigrant status and ambient temperature are negative predictors while waist circumference, sodium : potassium ratio, and pulse were positive predictors.
Age, temperature, BMI, waist circumference, hip circumference, nonmigration status, number of children, sodium : potassium ratio, and ambient temperature.
BP correlated with income and education in men but not in women, after adjusting for age and BMI.
Higher income; educational level variable between men and women after adjusting for age and BMI.
Multiple linear regression; MANOVA
Oil, printing, cotton mill, tobacco factory, canning factory, and hotel workers [38]
Dakar
SBP was associated with age, BMI, higher educational level, tea consumption, and ethnicity in men. DBP associated with age and BMI in men. In women, age and BMI were the only significant factors associated with both SBP and DBP.
Age statistically significant association with SBP and DBP in men and women.
BMI statistically significant association with both SBP and DBP in women and with DBP but not SBP in men.
Educational level with illiterates having highest levels of BP is associated with SBP but not DBP.
