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Table 1 Characteristics of research data

From: The long-term and short-term effects of ambient air pollutants on sleep characteristics in the Chinese population: big data analysis from real world by sleep records of consumer wearable devices

Items

Number of participants

All participants

7682

Gender of participants, no. (%)

 Male

5689 (74.1%)

 Female

1993 (25.9%)

Age of participants, mean (SD), years

47.7 (13.8)

Age groups of participants, no. (%)

 < 18 years

45 (0.6%)

 18–44 years

4018 (52.3%)

 45–64 years

2636 (34.3%)

 ≥ 65

983 (12.8%)

BMI of participants, mean (SD), kg/m2

24.4 (3.2)

BMI groups of participants, no. (%)

 Low weight (< 18.5)

243 (3.2%)

 Normal (18.5–23.9)

3340 (43.5%)

 Overweight (24–27.9)

2993 (39.0%)

 Obesity (≥ 28)

1106 (14.4%)

City groups of participants, no. (%)

 Super first-tier cities

2426 (31.6%)

 First-tier cities

1811 (23.6%)

 Second-tier cities

1488 (19.4%)

 Third-tier cities

960 (12.5%)

 Fourth-tier cities

690 (9.0%)

 Fifth-tier cities

307 (4.0%)

Altitude groups of participants, no. (%)

 ≥ 1000 m

389 (5.1%)

 < 1000 m

7293 (94.9%)

Smoking, no. (%)

 Never

5338 (69.5%)

 Occasional

929 (12.1%)

 Regular

345 (4.5%)

 Daily

1070 (13.9%)

Drinking, no. (%)

 Never

2300 (29.9%)

 Occasional

4419 (57.5%)

 Regular

774 (10.1%)

 Daily

189 (2.5%)

Total nights of sleep tracking, no.

1005

Accumulative sleep records, nights

1,245,817

Type of the night sleep records tracked in, no. (%)

 Weeknights

879,289 (70.6%)

 Nights of rest day

366,528 (29.4%)

Seasons sleep records tracked in, no. (%)

 Spring (March to May)

326,332 (26.2%)

 Summer (June to August)

284,066 (22.8%)

 Autumn (September to November)

346,791 (27.8%)

 Winter (December to February)

288,628 (23.2%)

  1. Abbreviations: IQR Interquartile range, SD Standard deviation