Personal and behavioral correlates of total and domain-specific sedentary behaviors in older Taiwanese adults

BMC Geriatrics

Table 1 Participant characteristics

Variable	Category	Sample of This Study		National Data in 2015^a
Variable	Category	N = 1046	%	%
Age	65–74	643	61.5%	56.0%
Age	≥ 75	403	38.5%	44.0%
Gender	Women	555	53.1%	53.6%
Gender	Men	491	46.9%	46.4%
Education level	College degree or more	244	23.3%	11.3%
Education level	Up to high school	802	76.7%	88.7%
Living status	With family	909	86.9%	---^b
Living status	Alone	137	13.1%	---^b
Job status	Employed	201	19.2%	---^b
Job status	Unemployed	845	80.8%	---^b
Residential area	Metropolitan	534	51.1%	65.0%
Residential area	Non-metropolitan	512	48.9%	35.0%
BMI (kg/m2)	Non-overweight (< 24)	608	58.1%	52.1%
BMI (kg/m2)	Overweight (≥ 24)	438	41.9%	47.9%
LTPA (min/week)	Sufficient (≥ 150)	449	39.4%	---^b
LTPA (min/week)	Insufficient (< 150)	597	60.6%	---^b
Total sedentary behavior, median (IQR) h/d		4.1 (2.53–6.5)		---^b
TV viewing, median (IQR) h/d		2.0 (1–3)		---^b
Computer use, median (IQR) h/d		0.0 (0–0.16)		---^b
Motorized transport, median (IQR) h/d		0.3 (0–0.57)		---^b

^aData source: [21, 22]; b: National data could not be obtained for comparison with our data
BMI: body mass index; LTPA: leisure time physical activity; IQR: interquartile range. Total sedentary behaviors comprised time spent engaging in TV viewing, computer use, reading, socializing, use of motorized transport, and hobbies

ISSN: 1471-2318