Table 5 Average daily walking durations across demographic and clinical factors in the MAP unseen dataset.

From: Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults

Characteristic

N (%)

Overall

157 (100)

Age (years)

 60–69

4 (2.55)

 70–79

33 (21.02)

 80–89

78 (49.68)

 90–99

40 (25.48)

 100 + 

32 (1.27)

Sex

 Female

126 (80.25)

 Male

31 (19.75)

BMI (kg/m2)

 Underweight (< 18.5)

5 (3.18)

 Normal Weight (18.5–24.9)

46 (29.30)

 Overweight (25–29.9)

60 (38.22)

 Obese (≥ 30)

40 (25.48)

 Unknown

6 (3.82)

Mobility disability score*

 0

74 (47.13)

 1

28 (17.83)

 2

28 (17.83)

 3

24 (15.29)

 Unknown

3 (1.92)

Falls in the past year

 0 falls

106 (67.52)

 ≥ 1 falls

49 (31.21)

 Unknown

2 (1.27)

Parkinsonism

 No parkinsonism

37 (23.57)

 Possible parkinsonism

35 (22.30)

 Parkinsonism

39 (24.84)

 Unknown

46 (29.30)

  1. *0 indicates the absence of mobility disability. 3 indicates a high level of disability.
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