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. 2023 May 16;13(5):e067643.
doi: 10.1136/bmjopen-2022-067643.

Burden of cardiometabolic risk factors and preclinical target organ damage among adults in Freetown, Sierra Leone: a community-based health-screening survey

Affiliations

Burden of cardiometabolic risk factors and preclinical target organ damage among adults in Freetown, Sierra Leone: a community-based health-screening survey

James Baligeh Walter Russell et al. BMJ Open. .

Abstract

Objective: To investigate the prevalence of cardiometabolic risk factors (CMRFs), target organ damage (TOD) and its associated factors among adults in Freetown, Sierra Leone.

Design: This community-based cross-sectional study used a stratified multistage random sampling method to recruit adult participants.

Setting: The health screening study was conducted between October 2019 and October 2021 in Western Area Urban, Sierra Leone.

Participants: A total of 2394 adult Sierra Leoneans aged 20 years or older were enrolled.

Outcome measure: Anthropometric data, fasting lipid profiles, fasting plasma glucose, TOD, clinical profiles and demographic characteristics of participants were described. The cardiometabolic risks were further related to TOD.

Results: The prevalence of known CMRFs was 35.3% for hypertension, 8.3% for diabetes mellitus, 21.1% for dyslipidaemia, 10.0% for obesity, 13.4% for smoking and 37.9% for alcohol. Additionally, 16.1% had left ventricular hypertrophy (LVH) by ECG, 14.2% had LVH by two-dimensional echo and 11.4% had chronic kidney disease (CKD). The odds of developing ECG-LVH were higher with diabetes (OR=1.255, 95% CI (0.822 to 1.916) and dyslipidaemia (OR=1.449, 95% CI (0.834 to 2.518). Associated factors for higher odds of Left Ventricular Mass Index by echo were dyslipidaemia (OR=1.844, 95% CI (1.006 to 3.380)) and diabetes mellitus (OR=1.176, 95% CI (0.759 to 1.823)). The odds of having CKD were associated with diabetes mellitus (OR=1.212, 95% CI (0.741 to 1.983)) and hypertension (OR=1.163, 95% CI (0.887 to 1.525)). A low optimal cut-off point for ECG-LVH (male 24.5 mm vs female 27.5 mm) was required to maximise sensitivity and specificity by a receiver operating characteristics curve since the odds for LVH by ECG were low.

Conclusions: This study provides novel data-driven information on the burden of CMRF and its association with preclinical TOD in a resource-limited setting. It illustrates the need for interventions in improving cardiometabolic health screening and management in Sierra Leonean.

Keywords: Cardiology; Hypertension; Lipid disorders.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Steps involved during recruitment of participants and final analysis of data.
Figure 2
Figure 2
Area under the curve for specific TOD (LVH, LVMI, eGFR). CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate; LVH, left ventricular hypertrophy; LVMI, Left Ventricular Mass Index; ROC, receiver operating characteristics; TOD, target organ damage.

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