CARDIOVASCULAR JOURNAL OF AFRICA • Volume 29, No 2, March/April 2018
74
AFRICA
(prevalence of hypertension 45.2% and hypercholesterolaemia
11.1%),
15
1 464 participants surveyed in the Dande Health and
Demographic Surveillance System (Dande-HDSS) catchment
area (23% prevalence of hypertension),
16
and a study of 421
subjects from a rural community of Angola (2.8% prevalence
of diabetes).
17
Building on the work carried out by Pires and colleagues,
16
and based on the STEPS methodology,
11
this study aimed to
expand the sample population to the 15- to 24-year-old group,
and to estimate the prevalence, awareness, treatment and control
of hypertension, diabetes and hypercholesterolaemia, and its
association with sociodemographic (gender, age, education
and area of residence), behavioural (alcohol and tobacco
consumption) and anthropometric [body mass index (BMI) and
abdominal obesity] variables among 15- to 64-year-olds in the
Dande-HDSS population.
Methods
A cross-sectional, community-based survey was conducted
from September 2013 to March 2014 in the catchment area of
the Dande-HDSS, located in Dande municipality of Bengo
Province, Angola.
18
A representative gender- and age-stratified
random sample list of 3 515 individuals, aged between 15 and
64 years, was drawn, as described previously.
19
Of these, we
were able to examine 2 484 (70.7%) individuals, 750 (21.3%)
were unreachable and 281 (8.0%) refused to participate, thus
approaching the predicted non-participation rate of 30%.
19
For analysis, we excluded participants with missing
anthropometric values (
n
=
14) and pregnant women (
n
=
116)
due to the fact that anthropometric parameters vary during
pregnancy. Therefore 2 354 individuals (67.0%) were included in
the final analysis.
Information on age, completed years of school education,
alcohol and tobacco consumption, and the previous
measurement of any of the conditions under investigation, were
collected through a structured interview conducted by trained
interviewers, following a previously published protocol for data
collection based on the WHO STEPS manual version 3.0.
11,19
For this analysis, age was categorised into five 10-year age
groups: 15 to 24, 25 to 34, 35 to 44, 45 to 54 and 55 to 64
years old. Education was categorised according to the number
of completed years of schooling: none, one to four years, five
to nine years, and 10 years or more. Area of residence was
classified as rural or urban, as previously described.
18
Alcohol
consumption was defined as none if participants reported
no alcohol consumption; occasional if participants reported
drinking alcohol two or less days per week; and frequent if
drinking any alcohol three or more days per week. Current
tobacco smokers were defined as participants who reported
smoking at least one cigarette per day.
Previous measurements of blood pressure, and glucose or
cholesterol levels in the last year were requested from all
participants. In the case of a positive answer, participants
were questioned about their awareness of a previous diagnosis
of hypertension, diabetes or hypercholesterolaemia made by
a healthcare worker. Any individual was considered under
treatment if he/she indicated the use of a specific medication;
a participant was considered controlled if they had a current
normal value.
Certified health professionals conducted all anthropometric
and clinical measurements, as described previously.
19
Anthropometric measurements were performed with individuals
wearing light clothing and no footwear, and an overnight fast
was requested of all participants.
Body mass and height were measured using a digital scale
SECA 803 (SECA United Kingdom, Birmingham, UK) and
a portable stadiometer SECA 213 (SECA United Kingdom,
Birmingham, UK). BMI was defined as the body mass (kg)
divided by the square of the body height (m
2
), and further
categorised according to WHO as underweight (
<
18.5 kg/m
2
),
normal (18.5 to 24.99 kg/m
2
), overweight (25.0 to 29.99 kg/m
2
)
and obese (
≥
30 kg/m
2
).
20
Waist and hip circumferences were measured using
circumference tape SECA 203 (SECA United Kingdom,
Birmingham, UK). The waist-to-hip ratio was calculated as the
circumference of the waist (cm) to that of the hips (cm), and
abdominal obesity was defined as waist-to-hip ratio
≥
0.9 for
men and
≥
0.85 for women.
21
Blood pressure was measured on the right arm with the
automatic sphygmomanometerOMRONM6Comfort (OMRON
Healthcare Europe BV, Hoofddorp, The Netherlands), with the
individual seated, and using an appropriate cuff size. Three
readings were done at three-minute intervals. The mean value
of the last two measurements was used to determine the blood
pressure. Hypertension was defined as systolic blood pressure of
≥
140 mmHg and/or diastolic blood pressure
≥
90 mmHg and/
or use of antihypertensive drugs during the previous two weeks.
22
Blood sugar was measured using a blood glucose meter
ACCU-CHEK Aviva (Roche Diagnostic, Indianapolis, IN,
USA) with ACCU-CHEK Aviva glucose reactive strips (Roche
Diagnostic, Indianapolis, IN, USA). The definition of diabetes
followed WHO diagnostic criteria of 126 mg/dl (6.9 mmol/l)
glucose in a fasting blood sample,
23
and/or use of antidiabetic
drugs during the previous two weeks.
Total cholesterol in the blood was measured using a point-of-
care device ACCUTREND Plus (Roche Diagnostic, Indianapolis,
IN, USA) with ACCUTREND cholesterol reactive strips (Roche
Diagnostic, Indianapolis, IN, USA). Hypercholesterolaemia was
defined according to WHO diagnostic criteria for STEPS, with
cholesterol
≥
240 mg/dl (6.2 mmol/l) in a fasting blood sample,
2,11
and/or use of anticholesterol drugs during the previous two weeks.
All procedures performed in this study were in accordance
with the standards of the ethics committee of the Angolan
Ministry of Health and with the 1964 Helsinki declaration and
its later amendments. Written informed consent was obtained
from all individual participants included in the study (in the case
of those under 18 years old, from their parent or legal guardian).
A copy of the signed consent form, as well as instructions
regarding the fasting period and contact information, were
delivered to each participant.
Statistical analysis
Data were double entered into a PostgreSQL
®
database and
SPSS
®
version 22 (IBM Corp, Armonk, NY, USA) was used
for statistical analysis. Post-stratification survey weights
were calculated using the known gender and categorical age
distribution of the Dande-HDSS population,
17
and these were
used in all further calculations. Descriptive data are reported