| Literature DB >> 26537355 |
N A Odunaiya1,2, Q A Louw3, K A Grimmer4,5.
Abstract
BACKGROUND: Cardiovascular disease (CVD) is a public health concern worldwide. Hypertensive heart disease is predominant in Nigeria. To effectively reduce CVD in Nigeria, the prevalence of, and factors associated with, pre-hypertension in Nigerian youth first need to be established.Entities:
Mesh:
Year: 2015 PMID: 26537355 PMCID: PMC4632346 DOI: 10.1186/s12872-015-0134-x
Source DB: PubMed Journal: BMC Cardiovasc Disord ISSN: 1471-2261 Impact factor: 2.298
Blood pressure cut off for Africa recommended by International forum for Hypertension in Africa for people 15 years and older (Lemogun et al, 2003) [21]
| Normal blood pressure | Systolic <120 mm/Hg | Diastolic <80 mm/Hg |
|---|---|---|
| Pre-hypertension | Systolic = 80-89mm/Hg | Diastolic = 120–139mm/Hg |
| Hypertension | Systolic ≥ 140mm/Hg | Diastolic ≥90 mmHg |
| Stage 1 hypertension | Systolic = 140 -159mm/Hg | Diastolic = 90- 99mm/Hg |
| Stage 2 hypertension | Systolic = 160 -179mm/Hg | Diastolic ≥100 |
Fig. 1Study consort diagram
Participant characteristics
| Physical characteristics | Boys mean (SD) | Girls mean (SD) | Gender differences |
|---|---|---|---|
| Age (years) | 16.4 (1.1) | 16.3 (1.2) |
|
| Height (cm)a | 160.7 (9.4) | 158.3 (6.1) |
|
| Weight (kgs) | 48.8 (8.3) | 49.5 (7.3) |
|
| Waist circumference (cm)a | 26.3 (2.0) | 25.5 (1.7) |
|
| Hip circumference (cm)a | 30.8 (2.5) | 33.0 (2.6) |
|
| Waist-hip ratio | 0.8 (0.5) | 0.8 (0.6) |
|
| BMIa | 18.8 (2.6) | 19.7 (2.4) |
|
| • Underweight % | 9.6 | 9.7 |
|
| • Normal weight% | 75.5 | 75.1 |
|
| • Overweight % | 3.6 | 10.6 |
|
| • Obese % | 11.4 | 4.7 |
|
| Systolic BP | 116.6 (12.3) | 115.4 (11.2) |
|
| • pre-hypertension % | 31.4 | 34.9 |
|
| • hypertension % | 5.7 | 3.2 |
|
| Diastolic BPa | 64.4 (8.5) | 66.5 (8.9) |
|
| • pre-hypertension % | 4.2 | 6.7 |
|
| • hypertension % | 0.8 | 0.9 |
|
Key aindicates significant differences
Prevalence (%) of modifiable CVD risk factors among adolescents by gender (asignificant gender differences)
| CVD risk factors | Male (%) (95 % CI) | Female (%) 95 % CI | Total sample % (95 %CI) |
|---|---|---|---|
| Smoking/tobaccoa | 10.2 (7.5–12.8) | 4.5 (2.8–6.2) | 7.1 (5.6–8.7) |
| Alcohol usea | 16.3 (13.1–19.6) | 4.9 (3.1–6.60 | 10.8 (8.4–12.0) |
| Low fruit diet | 10.4 (7.7–13.0) | 6.8 (4.7–8.8) | 42.2 (39.0–44.0) |
| Low vegetable diet | 6.8 (4.6–8.9) | 5.4 (3.5–7.2) | 32.1 (29.5–35.1) |
| High salt diet | 63.0 (58.8–67.2) | 68.3 (64.5–72.1) | 65.0 (62.0–67.0) |
| High animal lipid diet | 61.2 (56.9–65.4) | 58.2 (54.2–62.3) | 59.8 (57.0–63.0) |
| Overweighta | 15.0 (11.8–18.1) | 15.2 (12.3–18.2) | 15.2 (12.3–18.2) |
| Obesitya | 1.8 (0.6–3.0) | 5.4 (3.5–7.2) | 5.7 (3.5–7.2) |
| High waist-hip ratioa | 0.9 (0.6–1.3) | 29.5 (17.6–36.6) | 15.3 (13.2–17.5) |
| Low physical activitya | 21.9 (18.3–25.5) | 33.1 (29.3–27.0) | 27.7 (25.2–30.6 |
Key aindicates significant gender differences
Associations among modifiable risk factors for females
Associations among modifiable risk factors in males
Associations between High BMI and individual CVD risk factors for males and females
Gender-specific associates of age and modifiable CVD risk factors with pre-hypertension
Stepwise regression modelling for systolic pre hypertension