Prevalence of major cardiovascular disease risk factors among a group of sub-Saharan African young adults: a population-based cross-sectional study in Yaoundé, Cameroon.

OBJECTIVE: To determine the prevalence estimates of some major risk factors for cardiovascular disease (CVD) in a young adult-aged population living in Yaoundé, Cameroon.
DESIGN: A cross-sectional study held from May to July 2017.
SETTING: PARTICIPANTS: Students aged 18-35 years, with no known history of CVD, found at the campus during recruitment and who voluntarily agreed to be included in the study. PRIMARY AND SECONDARY OUTCOME MEASURES: Data were collected on personal and family history as well as lifestyle and nutritional habits; anthropometric parameters and blood pressure were also measured. Prevalence rates were calculated with their respective 95% CI.
RESULTS: Overall, 931 participants (53.8% males) were included, with a median age of 23 years (IQR 21-25). The prevalence estimates for some major CVD risk factors were: 3.1% (95% CI 2.0 to 4.2) for family history of heart attack, 6.3% (95% CI 4.7 to 7.9) for family history of stroke, 26.7% (95% CI 23.9 to 29.5) for hazardous alcohol consumption, 0.9% (95% 0.3 to 1.5) for current tobacco smoking, 27.6% (95% CI 24.7 to 30.5) for secondhand smoking, 88.9% (95% CI 86.9 to 90.9) for physical inactivity, 99.0% (95% CI 98.4 to 99.6) for inadequate fruits and/or vegetables consumption, 39.8% (95% CI 36.7 to 42.9) for self-reported anxiety, 49.2% (95% CI 46.0 to 52.4) for self-reported depression, 22.1% (95% CI 19.4 to 24.8) for overweight, 3.9% (95% CI 2.7 to 5.1) for obesity, 14.4% (95% CI 12.1 to 16.7) for abdominal obesity, 14.5% (95% CI 12.2 to 16.8) for excess body fat mass, 30.0% (95% CI 27.1 to 32.9) for suspected prehypertension and 2.8% (95% CI 1.7 to 3.9) for suspected hypertension.
CONCLUSION: The prevalence of some major CVD risk factors is high among young adults living in Yaoundé, Cameroon. Therefore, specific actions should be undertaken in this population to mitigate the upcoming burden of CVD. Accordingly, younger-aged adult populations should be encouraged and accompanied to practice physical activity, eat healthily, and stop or avoid smoking and/or hazardous alcohol consumption. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This study evaluated the burden of major cardiovascular disease (CVD) risk factors in a group of young-adult Cameroonians.

This was a population-based study, permitting to have an estimate of the real burden of CVD risk factors, as compared with a hospital-based study which would have presumably led to overestimations.

A consecutive and non-probabilistic sampling procedure was used; hence, the results may not be generalised to the entire population of young-adult Cameroonians.

There might have been some information bias, as a consequence of the fact that some parameters were self-reported.

Introduction

Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality worldwide. It is estimated that about 17.9 million of people die every year due to CVD, which constitutes around 31% of all global deaths. Most of these CVD-related deaths are caused by heat attack and stroke, in about 85% of cases.1 2 Although current trends indicate a decrease in the burden of CVD in developed countries, the condition is still increasing globally and reaching epidemic proportions, especially in the developing world where almost 80% of cardiovascular-related deaths occur.3–7 This is mainly driven by low rates of awareness, treatment and control of major CVD risk factors.8

CVD has a long life-course evolution with its main risk factors starting as early as in childhood, adolescence or young adulthood.9–13 CVD can be prevented by addressing behavioural risk factors which include eating food with high salt concentration and low fruits and vegetables, low and inadequate physical activity, tobacco smoking and harmful use of alcohol. Furthermore, many people who are at higher cardiovascular risk with the presence of elevated blood pressure (BP), elevated blood glucose, high blood cholesterol, overweight and obesity need early detection and overall proper management to reduce the likelihood of CVD occurrence.1 2

In line with ‘Global Hearts’, an initiative from the WHO and its partners to beat back the global threat of CVD,14 efficient and evidence-based interventions have to be initiated in younger populations to delay or prevent CVD occurrence in adulthood. However, their development requires having the current figures of the burden of CVD risk factors in these populations. Accordingly, the present study was designed, which purposed to determine the prevalence estimates of major risk factors for CVD in a young adult-aged population living in Yaoundé, Cameroon (a developing country).

Methods

Study design and setting

From May to July 2017, a cross-sectional, urban-based and population-based study was carried out at the main campuses of the University of Yaoundé I, Cameroon. Situated in Yaoundé the capital city of Cameroon, this academic institution represents the oldest and biggest university in-country, with its students coming from all the 10 administrative regions of Cameroon.

Study participants

Any apparently healthy university student aged between 18 and 35 years, regularly registered at the University during the academic year 2016–2017, with no known history of CVD, found at the Yaoundé University campuses during recruitment and who voluntarily agreed to be included in the study was enrolled. Pregnant women or those breastfeeding were not considered in this study. Participants were consecutively recruited during the study period, using a non-probabilistic consecutive sampling method. The minimal sample size was calculated based on Krejcie and Morgan’s formula: S=Z .15 Accordingly, the CI was fixed at 95%, hence Z =1.96 and d=0.05. The population proportion with global risk factors for CVD was assumed to be 0.5 since this would provide the maximum sample size. Considering a population size of 73 607 students regularly registered in the study site during the academic year 2016–2017,16 the minimal sample size was calculated at 382 subjects.

Data collection

Data were collected using a standardised, anonymous, pretested and partly self-administered questionnaire. It was essentially composed of two main sections: identification (sociodemographic characteristics) and medical history (family and personal medical history, and lifestyle habits). On the days of recruitment, potential participants who were found on various campuses of the University were approached by the research team. After presenting the various aspects and procedures in relation with the study, those who volunteered to be enrolled signed a consent form. Subsequently, they filled the questionnaire and underwent a brief physical examination during which anthropometric parameters (weight, height, fat mass percentage, mid-upper arm, waist and hip circumferences) and BP were measured. At the end of this process, every participant received adequate counselling considering his/her parameters, principally directed towards heathy lifestyle habits. For those who were found with an abnormality, they were referred to the Medical and Social Welfare Centre of the University for further investigations and adequate care.

Alcohol consumption was assessed using the Alcohol Use Disorder Identification Test-Consumption (AUDIT-C) score; accordingly, hazardous alcohol drinking was considered on the basis of an AUDIT-C score ≥4 for men, and ≥3 for women.17 18 Smoking status was classified as never, former (last smoked >12 months ago) and current (ever smoked in the last 12 months). Secondhand smoking was defined as regular exposure to other people’s smoke over the last 12 months, and measured in hours per week. Similarly, household air pollution was assessed through exposure to firewood smoke, and also measured in hours per week. Physical activity was evaluated with the Global Physical Activity Questionnaire, and classified into four groups: ‘mainly sedentary’ (if the participant was not used to performing any physical activity, especially during leisure time); ‘mild exercise’ (easy walking for at least 10 min continuously several times in a week or moderate/strenuous exercise but not responding to the recommendations); ‘moderate exercise’ (any activity inducing a small increase in breathing or heart rate, performed during at least 30 min and at least 5 days/week); ‘strenuous exercise’ (any activity causing a large increase in breathing or heart rate, performed during at least 25 min and at least 3 days/week).19 20 Adequate fruits intake was defined as a daily consumption of 1.5–2 portion/cup equivalents of fruits while adequate vegetables intake was based on a consumption of 2–3 cups of vegetables, daily.21

Height was measured to the nearest 0.5 cm using a stadiometer. Weight (to the nearest 0.1 kg) and fat mass percentage were measured with a body composition analyzer (type BPF-300 MA, Tanita UK, Yiewsley, Middlesex, UK). Body mass index (BMI) was derived as weight (kg)/height2 (m2) and subsequently grouped into four categories: underweight (<18.5), normal (18.5–24.9), overweight (25.0–29.9) or obese (≥30.0).22 Excess body fat mass was defined if the fat mass percentage was >20% for men and >33% for women, according to cut-offs given by the body composition analyser. Mid-upper arm, waist and hip circumferences were measured to the nearest 0.1 cm with a measuring tape. Waist to hip ratio (WHR) was calculated as waist circumference (WC) (cm) divided by hip circumference (cm). Abdominal obesity was defined using three criteria : (1) according to the International Diabetes Federation (IDF) criteria, WC >90 cm for men and >80 cm for women; (2) according to the WHO criteria, WC >102 cm for men and >88 cm for women; (3) according to the WHO criteria, WHR ≥0.9 for men and ≥0.85 for women.23

An electronic sphygmomanometer (Omron M5-1, Omron Healthcare, Kyoto, Japan) was used for BP measurement. The participant rested for at least 5 min at a sitting position. BP was measured thrice on the left arm at a 5 min interval, and the mean of these three measurements was considered for further analyses. Suspected hypertension was defined on presence of a systolic blood pressure (SBP) ≥140 mm Hg and/or a diastolic blood pressure (DBP) ≥90 mm Hg and/or self-reported history of antihypertensive medication. The participant was suspected of prehypertension on presence of a SBP between 120 and 139 mm Hg and/or a DBP between 80 and 89 mm Hg.24 This suspicion was based on the fact that students were not seen at further occasions to have their BP retaken, to confirm or refute the diagnosis of prehypertension/hypertension.

Statistical procedures

SPSS V.20.0 served for data analysis. For continuous variables and due to skewed distributions, results were presented as median (IQR) and comparisons used non-parametric tests (Mann-Whitney U test or Kruskal-Wallis H test). Furthermore, strength and direction of a monotonic relationship between continuous variables were investigated using the Spearman correlation test and its rho (ρ) coefficient. Categorical variables were summarised with frequencies (percentages) and tested using the χ2 test or Fisher exact test, where applicable. Results were considered statistically significant for a p value <0.05.

Ethical considerations

Before starting this study, a study protocol was conceived and designed, and submitted to the Cameroon Bioethics Initiative Ethics Review and Consultancy Committee for ethical approval. Once the ethical clearance was granted (reference CBI/404/ERCC/CAMBIN), an administrative authorisation was requested and further delivered by the Rector of the University of Yaoundé I. Study procedures complied with the revised Helsinki Declaration. After presenting and explaining all aspects and procedures to each potential participant, those who voluntarily accepted to participate signed a consent form, accordingly. Participation was kept anonymous, and information gathered, confidential.

Patient and public involvement

Participants and the public were not involved in the design, conduct and reporting of this research.

Results

Sociodemographic background of the study population

Nine hundred and thirty-one students (53.8% males) participated in this study. Their ages ranged from 18 to 35 years with a median of 23 (IQR 21–25) years. According to table 1, majority of students were aged 21–25 years (55.4%), were Christians by faith (89.8%) and were single (93.3%).

Table 1

General characteristics of the study population

Characteristic	Totaln=931	Malen=501	Femalen=430	P value
Age (years), median (IQR)	23 (21–25)	24 (21–26)	23 (21–25)	<0.001*
Age (years), n (%)				0.004*
≤20	194 (20.8)	90 (18.0)	104 (24.2)
21–25	516 (55.4)	276 (55.1)	240 (55.8)
26–30	174 (18.8)	100 (20.0)	74 (17.2)
31–35	47 (5.0)	35 (7.0)	12 (2.8)
Level of study, n (%)				0.453
Undergraduate (in year 3 or less)	466 (50.0)	249 (49.7)	217 (50.5)
Graduate (in year 4 or above)	465 (49.9)	252 (50.3)	213 (49.5)
Religion, n (%)				0.142
Christian	836 (89.8)	446 (89.0)	390 (90.7)
Muslim	72 (7.7)	38 (7.6)	34 (7.9)
Other	23 (2.5)	17 (3.4)	6 (1.4)
Ethnic origin, n (%)				0.797
Sudano-Sahelian	73 (7.9)	42 (8.5)	31 (7.2)
Sawa	94 (10.2)	47 (9.5)	47 (11.0)
Grassfield	379 (41.0)	202 (40.7)	177 (41.4)
Bantu	378 (40.9)	205 (41.3)	173 (40.4)
Marital status, n (%)				0.134
Single	869 (93.3)	470 (93.8)	399 (92.8)
Divorced	0 (0.0)	0 (0.0)	0 (0.0)
Widow(er)	2 (0.2)	2 (0.4)	0 (0.0)
Married	35 (3.8)	21 (4.8)	14 (2,8)
Concubinage	25 (2.7)	15 (3.0)	10 (2.4)
AUDIT-C score, median (IQR)	1 (0–3)	2 (0–4)	1 (0–2)	<0.001*
Second had smoking† (hours/week), median (IQR)	1 (1–2)	1 (1–2)	1 (1–2)	0.976
Exposure to firewood smoke† (hours/week), median (IQR)	3 (1.3–5)	2 (1–3)	4 (2–7)	<0.001*
BMI (kg/m2), median (IQR)	23 (21–25)	23 (21–25)	23 (21–26)	0.464
Mid-arm circumference (cm), median (IQR)	27 (26–29)	28 (26–30)	26.5 (25–28.3)	<0.001*
Waist circumference (cm), median (IQR)	76 (72–81)	77 (74–82)	75 (70–80)	<0.001*
Hip circumference (cm), median (IQR)	96 (91–101)	95 (91–99)	96 (91–102)	0.009*
Waist/hip ratio, median (IQR)	0.80 (0.77–0.84)	0.82 (0.79–0.84)	0.78 (0.74–0.82)	<0.001*
Fat mass percentage (%), median (IQR)	18 (12–26)	13 (10–17)	26 (21–31)	<0.001*
Systolic blood pressure (mm Hg), median (IQR)	114 (106–122)	118 (112–126)	108 (102–115)	<0.001*
Diastolic blood pressure (mm Hg), median (IQR)	71 (66–77)	73 (67.5–79)	69 (64–75)	<0.001*

*P<0.05.

†The total number of participants was 931 (501 males and 430 females) except for secondhand smoking (110 males and 70 females) and exposure to firewood smoke (56 males and 72 females).

AUDIT-C, Alcohol Use Disorder Identification Test-Consumption.

Burden of major CVD risk factors

Table 2 depicts the prevalence estimates of some major CVD risk factors here assessed. The prevalence of family history of heart attack, stroke and sudden death was, respectively, 3.1% (95% CI 2.0 to 4.2), 6.3% (95% CI 4.7 to 7.9) and 5.6% (95% CI 4.1 to 7.1), without any difference between males and females (p>0.05).

Table 2

Profile of cardiovascular disease risk factors

Characteristic	Total, n=931		Male, n=501		Female, n=430		P value
	n (%)	95% CI (%)	n (%)	95% CI (%)	n (%)	95% CI (%)
Personal history
Self-reported hypertension	6 (0.6)	0.1 to 1.1	3 (0.6)	0.0 to 1.3	3 (0.7)	0.0 to 1.5	1.000
Self-reported diabetes	3 (0.3)	0.0 to 0.6	2 (0.4)	0.0 to 0.9	1 (0.2)	0.0 to 0.6	1.000
Another chronic non-communicable disease (asthma)	15 (1.6)	0.8 to 2.4	5 (1.0)	0.1 to 1.9	10 (2.3)	0.9 to 3.7	0.123
HIV infection (self-reported)	2 (0.2)	0.0 to 0.5	0 (0.0)	/	2 (0.5)	0.2 to 1.2	0.213
Family history
Either or both of biological parents had a heart attack	29 (3.1)	2.0 to 4.2	18 (3.6)	2.0 to 5.2	11 (2.6)	1.1 to 4.1	0.365
Either or both of biological parents had stroke	59 (6.3)	4.7 to 7.9	29 (5.8)	3.7 to 7.8	30 (7.0)	4.6 to 9.4	0.458
Either or both of biological parents had died suddenly	52 (5.6)	4.1 to 7.1	24 (4.8)	2.9 to 6.7	28 (6.5)	4.2 to 8.8	0.254
Either or both of biological parents has/had hypertension	298 (32.0)	29.0 to 35.0	153 (30.5)	26.5 to 34.5	145 (33.7)	29.3 to 38.2	0.299
Either or both of biological parents has/had diabetes	150 (16.1)	13.7 to 18.5	88 (17.6)	14.3 to 20.9	62 (14.4)	11.0 to 17.7	0.193
At least one brother or sister has/had hypertension	36 (3.9)	2.7 to 5.1	21 (4.2)	2.4 to 6.0	15 (3.5)	1.8 to 5.2	0.579
At least one brother or sister has/had diabetes	16 (1.7)	0.9 to 2.5	9 (1.8)	0.6 to 3.0	7 (1.6)	0.4 to 2.8	0.844
Lifestyle
Hazardous alcohol use	249 (26.7)	23.9 to 29.5	162 (32.3)	28.2 to 36.4	87 (20.2)	16.4 to 24	<0.001*
Tobacco smoking							0.124
Former	31 (3.3)	2.1 to 4.4	21 (4.2)	2.4 to 6.0	10 (2.3)	0.9 to 3.7
Current	8 (0.9)	0.3 to 1.5	6 1.2)	0.2 to 2.1	2 (0.5)	0.2 to 1.2
Secondhand smoking	257 (27.6)	24.7 to 30.5	158 (31.5)	27.4 to 35.6	99 (23.0)	19.0 to 27.0	0.004*
Regular exposure to firewood smoke	145 (15.6)	13.3 to 17.9	65 (13.0)	10.1 to 15.9	80 (18.6)	14.9 to 22.3	0.018*
Physical activity							<0.001*
Mainly sedentary	258 (27.7)	24.8 to 30.6	100 (20.0)	16.5 to 23.5	158 (36.7)	32.1 to 41.3
Mild exercise	570 (61.2)	58.1 to 64.3	325 (64.9)	60.7 to 69.1	245 (57.0)	52.3 to 61.7
Moderate exercise	20 (2.1)	1.2 to 3.0	18 (3.6)	2.0 to 5.2	2 (0.5)	0.0 to 1.2
Strenuous exercise	83 (8.9)	7.1 to 10.7	58 (11.6)	8.8 to 14.4	25 (5.8)	3.6 to 8.0
Experienced anxiety over the last 12 months	371 (39.8)	36.7 to 42.9	173 (34.5)	30.3 to 38.7	198 (46.0)	41.3 to 50.7	0.001*
Felt sad, melancholy or depressed for 2 weeks or more in a row	458 (49.2)	46.0 to 52.4	216 (43.1)	38.8 to 47.4	242 (56.3)	51.6 to 61.0	<0.001*
Diet and nutrition
Eating salty food or snacks one or more times a day	874 (93.9)	92.4 to 95.4	469 (93.6)	91.5 to 95.7	405 (94.2)	92.0 to 96.4	0.716
Eating foods/drinks containing too much sugar one or more times a day	775 (83.2)	80.8 to 85.6	423 (84.4)	81.2 to 87.6	352 (81.9)	78.3 to 85.5	0.295
Eating oily foods/snacks one or more times a day	505 (54.2)	51.0 to 57.4	277 (55.3)	50.9 to 59.6	228 (55.0)	50.3 to 59.7	0.489
Eating oily foods/snacks three or more times a week	483 (51.9)	48.7 to 55.1	271 (54.1)	49.7 to 58.5	212 (49.3)	44.6 to 54.0	0.145
Eating dairy products one or more times a day	378 (40.6)	37.4 to 43.7	164 (32.7)	28.6 to 36.8	214 (49.8)	45.1 to 54.3	<0.001*
Eating dairy products three or more times a week	550 (59.1)	55.9 to 62.3	281 (56.1)	51.7 to 60.4	269 (62.6)	58.0 to 67.2	0.045*
Eating deep fried foods or snacks or fast foods three or more times a week	527 (56.6)	53.4 to 59.8	294 (58.7)	54.4 to 63.0	233 (54.2)	49.5 to 58.9	0.168
Eating meat and/or poultry two or more times daily	299 (32.1)	29.1 to 35.1	143 (28.5)	24.5 to 32.4	156 (36.3)	31.7 to 40.8	0.012*
Not eating at least 1–2 cups/portions of fruits one or more times a day (inadequate fruits consumption)	861 (92.5)	90.8 to 94.2	472 (94.2)	92.1 to 96.2	389 (90.5)	87.7 to 93.3	0.031*
Not eating at least 2–3 cups of vegetables one or more times a day (inadequate vegetables consumption)	909 (97.6)	96.6 to 98.6	486 (97.0)	95.5 to 98.5	423 (98.4)	97.2 to 99.6	0.171
Inadequate fruits and vegetables consumption	922 (99.0)	98.4 to 99.6	495 (99.8)	99.4 to 100.0	427 (99.3)	98.5 to 100.0	0.517
Anthropometric parameters and blood pressure
Body mass index (kg/m2)							0.002*
Underweight (<18.5)	45 (4.8)	3.4 to 6.2	18 (3.6)	1.9 to 5.2	27 (6.3)	4.0 to 8.6
Normal (18.5–24.9)	644 (69.2)	66.2 to 72.2	373 (74.5)	70.7 to 78.3	271 (63.0)	58.4 to 67.6
Overweight (25–29.9)	206 (22.1)	19.4 to 24.8	96 (19.1)	15.7 to 22.5	110 (25.6)	21.5 to 29.7
Obesity (≥30)	36 (3.9)	2.7 to 5.1	14 (2.8)	1.4 to 4.2	22 (5.1)	3.0 to 7.2
Abdominal obesity using WC
WHO criteria (>102/88 cm for men/women)	41 (4.4)	3.1 to 5.7	7 (1.4)	0.4 to 2.4	34 (7.9)	5.3 to 10.4	<0.001*
IDF criteria (>90/80 cm for men/women)	134 (14.4)	12.1 to 16.7	29 (5.8)	3.7 to 7.8	105 (24.4)	20.3 to 28.5	<0.001*
Abdominal obesity using WHR (≥0.9/0.85 for men/women)	63 (6.8)	5.2 to 8.4	19 (3.8)	2.1 to 5.5	44 (10.2)	7.3 to 13.1	<0.001*
Excess body fat mass (>20/33% for men/women)	135 (14.5)	12.2 to 16.8	61 (12.2)	9.3 to 15.1	74 (17.2)	13.6 to 20.8	0.030*
Systolic blood pressure							<0.001*
Normal (90–129 mm Hg)	671 (72.1)	69.2 to 75.0	293 (58.5)	54.2 to 62.8	378 (87.9)	84.8 to 91.0
Prehypertension (120–139 mm Hg)	245 (26.3)	23.5 to 29.1	195 (38.9)	34.6 to 43.2	50 (11.6)	8.6 to 14.6
Hypertension (≥140 mm Hg)	15 (1.6)	0.8 to 2.4	13 (2.6)	1.2 to 4.0	2 (0.2)	0.0 to 0.6
Diastolic blood pressure							<0.001*
Normal (60–79 mm Hg)	791 (85.0)	82.7 to 87.3	404 (80.6)	77.1 to 84.1	387 (48.9)	44.2 to 53.6
Prehypertension (80–89 mm Hg)	125 (13.4)	11.2 to 15.6	87 (17.4)	14.1 to 20.7	38 (8.8)	6.1 to 11.5
Hypertension (≥90 mm Hg)	15 (1.6)	0.8 to 2.4	10 (2.0)	0.8 to 3.2	5 (1.6)	0.4 to 2.8
Suspected prehypertension (SBP 120–139 or DBP 80–89 mm Hg)	279 (30.0)	27.1 to 32.9	213 (42.5)	38.2 to 46.8	66 (15.3)	11.9 to 18.7	<0.001*
Suspected hypertension (SBP ≥140 or DBP≥90 mm Hg)	26 (2.8)	1.7 to 3.9	20 (4.0)	2.3 to 5.7	6 (1.4)	0.3 to 2.5	<0.001*

*P<0.05.

DBP, diastolic blood pressure; IDF, International Diabetes Federation; SBP, systolic blood pressure; WC, waist circumference; WHR, waist to hip ratio.

Prevalence estimates of current and former smoking were, respectively, 0.9% (95% CI 0.3 to 1.5) and 3.3% (95% CI 2.1 to 4.4), without any difference between men and women (p=0.124). Two hundred and fifty-seven students (27.6%; 95% CI 24.7 to 30.5) reported regular exposure to other people’s smoke. This prevalence was higher in men than in women (31.5% vs 23.0%; p=0.004). The median time of exposure was 1 hour/week (IQR 1–2), without any difference between males and females (p=0.976; table 1). Moreover, the prevalence of physical inactivity (sedentary + exercise) equaled 88.9% (95% CI 86.9 to 90.9). Of note, women were more physically inactive than men (93.7% vs 84.9%; p<0.001; table 2).

The median BMI was 23.0 kg/m2 (IQR 21.0–25.0; table 1), with no difference between men and women (p=0.464). Overall, 22.1% (95% CI 19.4 to 24.8) and 3.9% (95% CI 2.7 to 5.1) of students were found with overweight or obesity, respectively (table 2). The prevalence of overweight and obesity was higher in women as compared with men (25.6% vs 19.1% and 5.1% vs 2.8%, respectively; p=0.002). The prevalence of abdominal obesity (using IDF criteria) and excess body fat mass was 14.4% (95% CI 12.1 to 16.7) and 14.5% (95% CI 12.2 to 16.8), respectively. A higher number of women had abdominal obesity (24.4% vs 5.8%; p<0.001) and excess body fat mass (17.2% vs 12.2%; p=0.030) than men (table 2).

The median BP was 114/71 mm Hg (IQR 106/66-122/77; table 1) with a significant difference between men and women (118/73 vs 108/69 mm Hg; p<0.001). The prevalence of suspected prehypertension and hypertension was, respectively, 30.0% (95% CI 27.1 to 32.9) and 2.8% (95% CI 1.7 to 3.9), with men being more affected than women (42.5% vs 15.3%; p<0.001, and 4.0% vs 1.4%; p<0.001, respectively).

Profile of other CVD risk factors

The prevalence of hazardous alcohol use was estimated at 26.7% (95% CI 23.9 to 29.5). The consumption of alcohol at hazardous levels was higher in men than in women (32.3% vs 20.2%; p<0.001). On the contrary, a higher proportion of women were exposed to household air pollution (assessed through exposure to firewood smoke) than men (18.6% vs 13%; p=0.018). The median time of exposure to firewood smoke was 3 hours/week (IQR 1.3–5), with a significant difference between women and men (4 vs 2 hours/week; p<0.001; table 1). Almost all participants (99.0%; 95% CI 98.4 to 99.6) had inadequate fruits and/or vegetables consumption, without significant difference between men and women (98.8% vs 99.3%; p=0.517). The prevalence of self-reported anxiety or depression was, respectively, equal to 39.8% (95% CI 36.7 to 42.9) and 49.2% (95% CI 46.0 to 52.4), with women exhibiting higher prevalence estimates than men for both conditions (p<0.001; table 2).

Associations between some of these risk factors

As depicted in table 3, age was positively and significantly correlated with the AUDIT-C score (ρ=0.180; p<0.001), BMI (ρ=0.181; p<0.001), fat mass percentage (ρ=0.101; p=0.002), DBP (ρ=0.098; p=0.003) and WHR (ρ=0.205; p<0.001). Additionally, the AUDIT-C score was correlated with BMI (ρ=0.076; p=0.021), SBP (ρ=0.157; p<0.001), DBP (ρ=0.090; p=0.008) and WHR (ρ=0.111; p=0.001). Moreover, BMI was correlated with SBP (ρ=0.203; p<0.001), DBP (ρ=0.103; p=0.003), fat mass percentage (ρ=0.585; p<0.001) and WHR (0.264; p<0.001).

Table 3

Correlation between continuous parameters

Parameter		Age	AUDIT-C	BMI	SBP	DBP	Fat %
Age	Rho (ρ)	1.000	0.180	0.181	0.040	0.098	0.101
	p	/	<0.001	<0.001	0.222	0.003	0.002
AUDIT-C	Rho (ρ)	0.180	1.000	0.078	0.166	0.090	−0.055
	p	<0.001	/	0.021	<0.001	0.006	0.095
BMI	Rho (ρ)	0.181	0.078	1.000	0.203	0.103	0.585
	p	<0.001	0.021	/	<0.001	0.002	<0.001
SBP	Rho (ρ)	0.040	0.166	0.203	1.000	0.723	0.192
	p	0.222	<0.001	<0.001	/	<0.001	<0.001
DBP	Rho (ρ)	0.098	0.090	0.103	0.723	1.000	−0.060
	p	0.003	0.006	0.002	<0.001	/	0.065
Fat %	Rho (ρ)	0.101	−0.055	0.585	0.192	−0.060	1.000
	p	0.002	0.095	<0.001	<0.001	0.065	/
WHR	Rho (ρ)	0.205	0.111	0.264	0.256	0.137	−0.089
	p	<0.001	0.001	<0.001	<0.001	<0.001	0.007

AUDIT-C, Alcohol Use Disorder Identification Test-Consumption; BMI, body mass index; DBP, diastolic blood pressure; SBP, systolic blood pressure; WHR, waist to hip ratio.

Discussion

Summary of main findings

This study conducted among a population of young adult university students revealed a high prevalence of some major CVD risk factors. The following prevalence estimates were recorded: 3.1% for family history of heart attack, 6.3% for family history of stroke, 5.6% for family history of sudden death, 32.0% for family history of hypertension, 16.1% for family history of diabetes, 26.7% for hazardous alcohol drinking, 4.2% for smoking (current & former), 27.6% for secondhand smoking, 15.6% for regular exposure to firewood smoke, 88.9% for physical inactivity, 39.8% for self-reported anxiety, 49.2% for self-reported depression, 99.0% for inadequate fruits and/or vegetables consumption, 22.1% for overweight, 3.9% for obesity, 14.4% for abdominal obesity, 14.5% for excess fat mass, 30.0% for suspected prehypertension and 2.8% for suspected hypertension. Men had higher prevalence estimates of hazardous alcohol drinking, secondhand smoking, prehypertension and hypertensives than women, while women were more physically inactive, overweight or obese, or had more abdominal obesity and excess fat mass than men. Moreover, SBP and DBP seemed to increase with age, the AUDIT-C score and the BMI.

Comparisons with similar studies, implications and future work

The prevalence of hazardous alcohol drinking that was recorded in this study (26.7%) is lower than the 31.7%, 32.8%, 42.5%, 26%–45% and 51.9%, respectively, reported from university students in Uganda, Ethiopia, Cameroon, Tanzania and Kenya.25–29 Clearly, hazardous alcohol drinking is taking epidemic proportions among younger populations, which will have serious consequences on CVD occurrence, liver cirrhosis and other related health threats.3 8 30

The 2.2% and 3.5% prevalence of tobacco smoking, respectively, found in Uganda and Somaliland,26 31 mirrors the 4.2% (former and current smoking) reported in this study, though lower than the 29.5% and 32.5% reported from Ethiopia and Cameroon.32 33 The 0.9% prevalence estimate of current tobacco smoking from the present study resembles that from Mandengue et al at the University of Douala (Cameroon), around 0.6%.25 It is possible that the study participants may have underestimated their tobacco consumption, perhaps being aware of its high negative effects, especially towards CVD occurrence.3 8 Tobacco smokers should be helped and accompanied to stop smoking. In this regard, electronic cigarettes have been proposed as a valuable strategy especially in sub-Saharan Africa, but the topic remains an area of huge controversy.34

There is sufficient evidence pointing air pollution as a major risk factor for CVD. Feigin et al showed that 29.9% of the global burden of stroke was attributable to air pollution.35 Although all components of air pollution could not be assessed in this study, it was found that 27.6% and 15.6% of participants were exposed to tobacco and firewood smokes, respectively. These are very high rates, which need to be addressed and mitigated. Accordingly, restrictive legislations towards tobacco smoking in public places need to be adopted and effectively applied, and those who violate these laws should be severely punished. Furthermore, people should be counselled on the negative effects of tobacco and firewood smokes, as well as other pollutants.

The prevalence of obesity equaled 4.1% at the University of Douala (Cameroun) in 201125; likewise, a Nigerian study in two universities obtained a rate of 6% in 2012,36 comparable to the 3.9% rate figured out from this study. By contrast, lower rates of overweight (9%–13%) were observed among young adults in other parts of sub-Saharan Africa,26 31 37–39 differing from the 22.1% recorded in the present study. Moreover, the current prevalence of abdominal obesity (14.4%) was higher than the 6.5% found by Mandengue et al at the University of Douala25; on the contrary, it was lower than that from Mogre et al (31.5%) among Ghanaian university students.38 Concerning excess body fat, it was reported at 7.2% in Uganda,26 almost half equal to what was obtained in the present study (14.5%).

This high prevalence of overweight/obesity may be a reflection of an unhealthy diet alongside physical inactivity. In fact, this study revealed that more than two-thirds of participants used to consume too much salty, sugary, oily or deep fried foods/snacks/drinks, contrary to results from Nyombi et al in Uganda showing that only 13% of students took salt excessively.26 Besides, <1% of respondents consumed fruits and/or vegetables adequately, concurring with Peltzer and Pengpid who figured out from their international study that 82.8% of their subjects consumed less than the recommended five servings of fruits and/or vegetables per day.40 Similarly, Miller et al demonstrated that consumption of fruit and vegetables is low worldwide (mean 3.76 servings/day), particularly in low-income countries (mean 2.14 servings/day), and mostly explained by low affordability.41 By contrast, Otemuyiwa and Adewusi showed that 20%–40% of their students had an adequate fruits and vegetables intake.36 Therefore, young adult populations should be educated and encouraged to adopt healthy diet habits, especially by reducing salt, sugar, fats and meat/poultry intake, and consuming at least 1.5–2 portion/cup equivalents of fruits and 2–3 cups of vegetables every day.21 It was even shown that benefits towards both non-cardiovascular mortality and total mortality appeared to be maximal at 3–4 servings/day (equivalent to 375–500 g/day).42

Moreover, the prevalence of physical inactivity was very high (88.9%) in this study, more than twice what was found at the University of Douala (41.8%) and in Somaliland (35.3%).25 31 The importance of physical activity is no more a topic of debate. Actually, a regular moderate to vigorous-intensity physical exercise decreases substantially the risk of, but not limited to, coronary heart disease, stroke, hypertension and diabetes mellitus.43 Lear et al showed that individuals from low-income, middle-income and high-income countries exhibited a lower risk of mortality and CVD events when practicing higher recreational and non-recreational physical activity, pointing the increase in physical activity as a simple, widely applicable and low cost global strategy which could reduce remarkably CVD and deaths.44 Therefore, sustainable actions should be undertaken to help younger-aged adult populations engage in the practice of a regular and efficacious physical activity to reduce the present or future likelihood of CVD occurrence, as well as other chronic non-communicable diseases.

The prevalence of family history of heart attack, stroke and sudden death was 3.1%, 6.3% and 5.6%, respectively. Furthermore, a family history of hypertension and diabetes was, respectively, reported among 32.0% and 16.1% of respondents, which concurs with results from Mandengue et al (34.6% and 30%).25 This is an indirect reflection of the prevalence of these diseases in the Cameroonian adult population, especially for hypertension which was shown at 29.7% in a recent nationwide study.45 The prevalence of suspected hypertension was 2.8%, lower than the 6.4%, 7.7%, 12.9% and 14%, respectively, reported by Ali et al in Somaliland,31 Tadesse and Alemu in Ethiopia,46 Mandengue et al in Douala-Cameroon25 and Nyombi et al in Uganda.26 However, it is worth mentioning that the prevalence of suspected prehypertension was high at 30.0%, calling for specific interventions to be put in place among these students to reduce their BP levels as they might be at high risk of shifting towards hypertensives in the near future.24 47 According to the present results, this could be attained by a reduction in BMI and amount of alcohol consumed, considering the positive correlation observed between SBP/DBP and BMI as well as the AUDIT-C score.

Strengths and limitations

Noteworthy, this study should be interpreted in the context of some limitations. First, as the questionnaire was self-administered, there were no means to objectively confirm each of the participants’ declarations; hence, it may have introduced some information bias with consequential underestimation or overestimation of certain estimates. Second, due to lack of funding, CVD risk factors that request morphological or laboratory explorations were not assessed. Third, only educated participants, selected from only one university institution were included in this study; besides, they were recruited on a consecutive rather than a random basis. Consequently, the study population’s representativeness, and the generalisation of results to the entire young adult-aged population of Cameroon could be questionable. Despite these weaknesses, it is worth mentioning that the University of Yaoundé I is the biggest academic institution in Cameroon; it gathers the country’s young adult-aged diversity, with students coming from different backgrounds and from all over the country. In addition, the research team made no distinction/restriction when approaching potential participants to invite them; it is therefore hypothesised that those who did not participate may have had similar characteristics than those who participated. Additionally, rigorous methodology and statistical procedures were applied in this study to answer the research questions.

Conclusion

This study revealed a high prevalence estimate of major CVD risk factors in young adult-aged populations living in Yaoundé, Cameroon. Therefore, specific interventions should be designed and implemented in this population; if not, the burden of CVD could be on sharp increase in the near future, occurring even at younger ages. Accordingly, these young populations should be encouraged and accompanied to practice physical activity, eat healthily, and stop or avoid smoking and/or hazardous alcohol consumption. Moreover, further prospective studies are warranted, which shall help in predicting the overall risk of CVD in young-aged sub-Saharan Africans.