Abstract:
Background Studies over the past decades have observed a sharp rise in the prevalence and incidence of type 2 diabetes mellitus
(T2DM). A highly sensitive and specific predictive tool for risky populations is essential. This study assessed two significant
diabetes mellitus predictive tools for effectiveness and accuracy among people living in fishing communities in Cape Coast,
Ghana.
Method In April 2019, we recruited one hundred and thirty-five (135) fishermen from three fishing communities in Cape Coast
in the Central Region of Ghana. Each participant underwent a standard metabolic procedure including clinical examination as
well as taking of anthropometric variables such as weight, height, waist and hip circumference were also measured. The
FINDRISC questionnaire was used to gather data from the respective participants. Serum glucose and lipids were estimated
with enzymatic techniques, and metabolic syndrome (MetS) screened with the international diabetes federation (IDF) criteria.
Results Of the 135 participants, 71 (52.6%) were women. The average age of study participants was 52 ± 16 years with females
averagely older (56.6 ± 15.0) than the males (47.3 ± 15.0). This study recorded 31.1% and 8.9% prediabetic and diabetic
fishermen respectively. Frequency of both prediabetes and diabetes was significantly predominant among females (71.4% vs
83.3%) than males (26.2% vs 25.0%) (p < 0.001) respectively. Prevalence of MetS according to the IDF criteria was 18.5%,
significantly higher among females (92.0%) than recorded among the males (18.5%). The discriminatory accuracy of FINDRISC
[aROC = 0.76 (95% CI 0.68 to 0.83); sensitivity = 58.3% and specificity = 86.9%; p = 0.003; optimal cut-off point = 13.50] and
the MetS [aROC = 0.74 (95% CI 0.66 to 0.81); sensitivity = 75.0% and specificity = 71.5%; p = 0.002] despite demonstrating a
significantly good capacity to detect T2DM were statistically comparable [aROC = 0.018 (95% CI -0.152 to 0.189); p = 0.834] in
our study.
Conclusion Our findings indicate that both FINDRISC (with a suitable cut-off value of 13.5) and MetS screening tools possess a
good predictive capacity for the detection of T2DM. Additionally, FINDRISC can be employed to detect MetS in a high-risk
population.
