Table 3.
Study population | Location | Determinants | Age | Sex | Physical activity | Obesity or adiposity | Alcohol | SES | Others | Variables in model | Type of analysis |
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Civil servants [11] |
Benin City | BMI (OR 2.88 Tertile 3 versus Tertile 1), age (OR 10-year groups 1.42), alcohol drinking (OR 1.85), and high SES (OR 2.62) were all independent risk factors for HTN in men but not education. Only BMI (OR 13.2) related to HTN in women. | Age [OR 10-year groups 1.42, 95% CI 1.03–1.96] in men; not significant in women |
— | — | BMI [OR 2.88 Tertile 3 versus Tertile 1, 95% CI 1.6–5.1 in men]; OR 13.2, 95% CI 1.5–113.0 in women | Alcohol drinking (OR 1.85, 95% CI 1.15–2.98) in men; not significant in women | Senior staff in men (OR 2.62, 95% CI 1.61–4.29); not significant in women | — | Staff grade, BMI, alcohol drinking, and age in 10-year intervals. | Logistic regression |
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Civil servants [10] |
Sokoto | Only age group and BMI tertile in men and sodium excretion were statistically significant. No significant association with sodium excretion or SES in men or with age, BMI, or staff grade in women. | 10-year age intervals OR = 2.4 (95% CI 1.8–3.4) in men |
Tertile 3 OR = 2.9 (1.6–5.1) in men; OR = 13.2 (1.5–113.0) in women | Alcohol drinker OR = 1.9 (1.2–3.0) in men | Senior staff OR = 2.6 (1.6–4.3) in men | Potassium excretion not significant | Age group 10-year groups, BMI, sodium excretion, and staff status. | Logistic regression | ||
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Civil servants [18] |
Ibadan | For both sexes, normalized WHR, plasma glucose, age, and family history of diabetes. Only age predicted HTN in women. | OR = 1.1 | NS | — | WHR, OR = 1.35 | — | — | Height not associated with BP or HTN | Age, family history of diabetes, sex, plasma glucose, and normalized WHR. | Logistic regression |
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Civil servants [9] |
Accra | Age group > 35 years, male sex, and physical inactivity | Age group 35–44 years OR = 3.8 (2.0–7.4); 45–54 years OR = 11.3 (6.4–21.5); ≥55 years OR = 15.0 (8.2–29.8) |
Female sex OR = 0.71 (0.50–0.99) |
Moderate OR = 0.7 (0.5–1.0); intense OR = 0.6 (0.3–1.2) |
NS | NS | Sex, age groups, BMI, physical activity, and alcohol use. | Logistic regression | ||
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Civil servants [65] |
Accra | Positive graded association between staff grade and HTN and current wealth when adjusted for age and sex. Statistically significant associations are lost when BMI is controlled for. | NS | Age, sex, preadult and current wealth, employment grade, level of education, and BMI. | Logistic regression with age as continuous variable | ||||||
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Civil servants [13] |
Kaduna City | Age group ≥ 40 years, family history (OR 1.5, 95% CI 1.1–2.1). | AOR ≥ 40 years = 6.7 (95% CI 4.1–11.0) compared with age group < 40 years | Marital status not significantly associated with HTN | Age, marital status, and family history | Logistic regression | |||||
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Health workers in a Teaching Hospital [27] |
Jos City | Alcohol (OR 2.58, p = 0.03) and obesity (OR 3.37, p = 0.006) were found to be independently associated with hypertension. | OR = 3.37, p = 0.006 | OR = 2.58, p = 0.03 | Age, sex, BMI, and alcohol | Logistic regression | |||||
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Health workers [31] |
Yenagoa | Age groups > 30 years. | AOR 30–45 years = 4.147 (95% CI 1.25–13.67), > 45 years = 5.45 (95% CI 1.46–22.80) compared with age group < 30 years |
NS | — | Truncal obesity (WC > 102 cm in men, >88 cm in females) versus normal WC; AOR = 3.64 (95% CI 1.15–9.06). BMI and WHR = NS | — | Educational level: NS | Marital status: NS | Age, sex, marital status, level of education, family history of HTN, past history of diabetes, family history of diabetes, history of alcohol use, smoking, BMI, WC, and WHR. | Logistic regression |
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Male factory workers [39] |
Ibadan | Education associated with BP, after adjusting for age, BMI, pulse, and alcohol consumption. | Age, BMI, pulse rate, and current alcohol drinking. | Multiple logistic analysis of covariance | |||||||
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Market workers (traders and artisans) [36] |
Enugu | Age, BMI, and alcohol consumption predicted HTN. | Increasing age | Not significantly associated with HTN | Significant factor | Significant factor | — | Age, sex, smoking, snuff tobacco, alcohol, BMI, WHR, and educational status. | Multiple linear regression |
HTN: hypertension; OR: odds ratio; SES: socioeconomic status.