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Table 3 Participant percentage and mean (± standard deviation) of the participants’ demographic data and risk factors

From: Comparison of multiple linear regression and machine learning methods in predicting cognitive function in older Chinese type 2 diabetes patients

Characteristics

Mean ± SD

N number (male/female)

196 (99/97)

Age

73.0 ± 6.0

Body mass index

25.8 ± 3.9

Systolic blood pressure

137.4 ± 18.4

Diastolic blood pressure

72.5 ± 11.2

Body fat percentage

32.0 ± 7.7

Fasting plasma glucose

142.5 ± 37.6

Alanine aminotransferase

24.3 ± 10.9

Triglyceride

117.3 ± 56.3

Low density lipoprotein cholesterol

91.6 ± 28.2

High density lipoprotein cholesterol

52.3 ± 15.8

Glycated hemoglobin

7.5 ± 1.3

Frailty total score

3.3 ± 1.7

Montreal cognitive assessment score

25.2 ± 4.6

Marriage

n (%)

Unmarried

8 (4.08%)

married living together

140 (71.43%)

married living apart

4 (2.04%)

divorced

8 (4.08%)

widowed

36 (18.37%)

Education

n (%)

Illiteracy

5 (2.55%)

elementary school

50 (25.51%)

junior high school

25 (12.76%)

senior high school

48 (24.49%)

College

60 (30.61%)

Graduate school

7 (3.57%)

Doctor degree

1 (0.51%)

Smoking

54 (27.55%)

Alcohol

50 (25.51%)

  1. Marriage status: Unmarried: 0, married living together: 1, married living apart: 2, divorced: 3, widowed: 4; Education: Illiteracy: 0, elementary school: 1, junior high school: 2, senior high school: 3, college: 4, Graduate school: 5, Doctor degree: 6; The Montreal cognitive assessment Taiwan version was used to assess cognitive function; Cognitive function assessment score was conducted using the Montreal Cognitive Assessment. The evaluation items are visuospatial/executive, naming, memory, attention, language, abstraction, delayed recall and orientation