Dataset of Clinical Survey of Diabetes Mellitus Infection Based on Some Diagnosed Symptoms in Osun State, South-Western Nigeria.

Published: 18 September 2026| Version 2 | DOI: 10.17632/brzz6v9cgm.2
Contributors:
NURENI ADEBOYE,
,
,

Description

Diabetes mellitus (DM) has been one of the world’s deadliest diseases, with a high rate of progression as infected adults age; hence, the need for a continuous clinical survey of patients’ records of diagnosis and treatment for DM. The data include daily records of 1,349 patients diagnosed with symptoms related to DM at four different State and Federal Hospitals in Osun State, Nigeria. For this research, the State Hospital in Asubiaro, Osogbo (the state capital of Osun State), was considered the baseline hospital, while one hospital was taken from each of the senatorial zones. Information was sought using a convenient sampling method, which entails careful selection of individual records of age 18 years and above, based on availability. Both general outpatient attendees and in-patients were included, provided their records contained sufficient demographic and lifestyle information, such as age, sex, marital status, smoking, or alcohol use, to allow evaluation of diabetes risk factors. In total, fifty-seven (57) variables were available and examined in this clinical survey. Out of 1,349 total records, 624 patients were classified as moderate-risk age (< 60 years), 362 as high-risk age (> 60 years), and 336 as low-risk age (< 40 years), with 27 missing values. The height and weight variables were combined to evaluate the Body Mass Index (BMI) of the surveyed patients, and the results were classified as normal weight (< 25), underweight (< 18.5), overweight (< 30), obesity class I (< 35), obesity class II (< 40), and obesity class III (> 40). The frequencies of the classification are 368, 121, 307, 195, 87, and 40, respectively, with 231 missing values observed. Gender information is available for 1,321 respondents, with only 28 missing cases. Among those reported, females (779) outnumber males (542), indicating a female-skewed sample. Given that the missing values are very few, they are unlikely to affect the reliability of gender-based analysis. All the respondents have valid entries for cholesterol level, heart palpitation, muscle spasticity, osteoarthritis, pruritus, retinopathy, polyphagia, polydipsia, polyuria, triglyceride, serum creatinine, pulse rate, fasting plasma glucose, random blood glucose, glycated haemoglobin percentage (HbA1c), total cholesterol, urine glucose, urine protein, and haemoglobin. Finally, of 1,349 total clinically surveyed records, diabetic status is available for 1,343 participants, with only 6 missing values. Out of the available statuses, 690 are non-diabetic, and 653 are diabetic, indicating an almost equal distribution between the two groups. This suggests that diabetes is highly prevalent in this sample and should be a key focus in related analyses. Among the 653 diabetic patients, 394 (60.3%) are female, and 246 (37.7%) are male, while 13 (2.0%) failed to declare their gender status.

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The data was a product of clinical survey, which was achieved through a convenient sampling technique. The study included adult patients aged 18 years and above who attended the selected healthcare facilities listed above. Only individuals with documented clinical, anthropometric, or laboratory data relevant to diabetes assessment - including at least one measure of blood glucose or HbA1c - were considered. Both general outpatient attendees and patients visiting specialized diabetes clinics were included, provided their records contained sufficient demographic and lifestyle information, such as age, sex, marital status, smoking, or alcohol use, to allow evaluation of diabetes risk factors. In total, fifty-seven (57) variables were available and examined in this clinical survey.

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Bioinformatics, Adult Health

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