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Table 1 Baseline characteristics of study participants (N = 737)

From: Does depression drive technology overuse or vice-versa? a cross-lagged panel analysis of bidirectional relationships among Chinese university students

Characteristic

Value

Demographics

 Age, mean (SD), years

20.3 (1.7)

Gender, n (%)

 Female

488 (66.2)

 Male

249 (33.8)

Academic year, n (%)

 First year

243 (33.0)

 Second year

258 (35.0)

 Third year

189 (25.6)

 Fourth year

47 (6.4)

Monthly family income (CNY), n (%)

  < 3000

118 (16.0)

 3000–6000

276 (37.4)

 6001–10000

224 (30.4)

  > 10,000

119 (16.1)

Residential arrangement, n (%)

 University dormitory

619 (84.0)

 Off-campus housing

93 (12.6)

 With family

25 (3.4)

Clinical Measures

 BMI, mean (SD), kg/m2

24.1 (3.9)

BMI category, n (%)

 Underweight (< 18.5)

70 (9.5)

 Normal weight (18.5–23.9)

257 (34.9)

 Overweight (24.0–27.9)

304 (41.2)

 Obese (≥ 28.0)

106 (14.4)

 PHQ-9 score, mean (SD)

7.9 (5.3)

Depression severity, n (%)

 Minimal (0–4)

261 (35.4)

 Mild (5–9)

231 (31.3)

 Moderate (10–14)

157 (21.3)

 Moderately severe (15–19)

69 (9.4)

 Severe (≥ 20)

19 (2.6)

 GAD-7 score, mean (SD)

6.3 (4.7)

Technology Use

 Total daily usage, mean (SD), hours

7.8 (2.6)

 Essential usage, mean (SD), hours

3.1 (1.8)

 Non-essential usage, mean (SD), hours

4.7 (2.2)

Night-time use (after intended bedtime), n (%)

 Never/rarely

109 (14.8)

 Sometimes

231 (31.3)

 Often/always

397 (53.9)

 Social-comparison-motivated use, mean (SD)*

3.1 (1.1)

 Escapism-motivated use, mean (SD)*

3.4 (1.0)

 Problematic use (SAS-SV), mean (SD)

32.6 (9.7)

  1. *Measured on a 5-point scale (1 = never to 5 = always)