Observational Study
Copyright ©The Author(s) 2025.
World J Psychiatry. Aug 19, 2025; 15(8): 106092
Published online Aug 19, 2025. doi: 10.5498/wjp.v15.i8.106092
Table 1 Sociodemographic characteristics of the participants
Domain
n (%)
Age group, years
    < 25191 (47.63)
    25-50196 (48.87)
    > 5014 (3.49)
Sex
    Male176 (43.89)
    Female224 (55.86)
    Prefer not to say1 (0.25)
Occupation
    Students pursuing a professional course150 (37.4)
    Salaried jobs143 (35.6)
    Students of the general stream40 (9.9)
    Self-employed30 (7.48)
    Unemployed15 (3.74)
    Housewife8 (1.99)
    Others15 (3.74)
Religion
    Hindu361 (90)
    Muslim20 (4.98)
    Sikh4 (0.99)
    Others16 (3.99)
Domicile
    Urban322 (80.29)
    Semi-urban51 (12.71)
    Rural28 (6.98)
Table 2 Usage of electronic gadgets among the study participants, n (%)
Question asked
Total responses
Male
Female
Do you have a personal electronic gadget?401176224
How many hours in a day do you spend on electronic gadgets?
    Less than 2 hours21 (5.2)912
    2-4 hours85 (21.2)3946
    4-6 hours134 (33.4)5579
    6-8 hours96 (23.9)4650
    More than 8 hours65 (16.2)2737
The single major reason for using an electronic gadget
    Official/professional work123 (30.6)7152
    Study114 (28.4)3975
    Social media82 (20.4)3250
    Entertainment76 (18.9)3244
    Study and entertainment1 (0.2)01
    Both official and entertainment2 (0.49)11
    Finding job1 (0.2)01
    All of the above2 (0.49)20
Table 3 Comparison of anxiety, depression and subjective wellbeing level between female and male participants, n (%)
Variables
Females (n = 224), mean ± SD
Males (n = 176), mean ± SD
Test of significance
Effect size (Cohen’s d); 95%CI
GAD-22.191 ± 1.5451.534 ± 1.389t = 4.412, df = 398, P = 0.00010.444 (0.245 to 0.644)
PHQ-21.987 ± 1.5311.721 ± 1.384t = 1.799, df = 398, P = 0.07280.181 (-0.017 to 0.379)
WHO-552.035 ± 20.00354.704 ± 20.022t = 1.983, df = 398, P = 0.048-0.133 (-0.331 to 0.064)
GAD-2χ2 = 9.409Risk ratio = 1.71
    Screen positive174 (33.03)34 (19.32)P = 0.002Risk difference = 0.137
    Screen negative150 (66.97)142 (80.68)
PHQ-2χ2 = 0.862Risk ratio = 1.162
    Screen positive168 (30.36)46 (26.14)P = 0.353Risk difference = 0.042
    Screen negative156 (69.64)130 (73.86)
Table 4 Association of bedtime procrastination with other study variables among males (n = 176)
Variables
Age of the participants
Sleep latency in minutes
Hours of sleep
Procrastination time (minutes)
BtP score
PHQ-2 score
GAD-2 score
WHO-5 score
Sleep latency in minutesR = -0.0056-------
P = 0.937
Hours of sleepR = -0.0941R = -0.044------
P = 0.215P = 0.562
Procrastination time (minutes)R = -0.0822R = 0.4034R = -0.276-----
P = 0.279P < 0.00001cP = 0.0002c
BtP scoreR = -0.396R = 0.0242R = -0.0614R = 0.2003----
P < 0.00001cP = 0.750P = 0.421P = 0.0076b
PHQ-2 scoreR = -0.192R = 0.1203R = -0.0586R = 0.2708R = 0.1891---
P = 0.011aP = 0.1117P = 0.444P = 0.0003cP = 0.0119a
GAD-2 scoreR = -0.1098R = 0.1011R = -0.1297R = 0.2961R = 0.3561R = 0.5769--
P = 0.146P = 0.181P = 0.088P = 0.00007cP < 0.00001cP < 0.00001c
WHO-5 scoreR = 0.1021R = - 0.246R = 0.0469R = -0.1948R = -0.1471R = -0.3933R = -0.2971-
P = 0.177P = 0.0009cP = 0.536P = 0.0095bP = 0.0515P < 0.00001cP = 0.00006c
SISS (sleep quality)R = 0.0505R = -0.2487R = 0.1403R = -0.3029R = -0.2555R = -0.2362R = -0.2811R = 0.418
P = 0.506P = 0.0009cP = 0.063P = 0.00004cP = 0.0006cP = 0.0016bP = 0.00016cP < 0.00001c
Table 5 Association of bedtime procrastination with other study variables among females (n = 224)
Variables
Age of the participants
Sleep latency in minutes
Hours of sleep
Procrastination time (minutes)
BtP score
PHQ-2 score
GAD-2 score
WHO-5 score
Sleep latency in minutesR = -0.0881-------
P = 0.189
Hours of sleepR = -0.1091R = -0.1573------
P = 0.104P = 0.0187a
Procrastination time (minutes)R = 0.0244R = 0.1732R = -0.1257-----
P = 0.716P = 0.0094bP = 0.0597
BtP scoreR = -0.1518R = 0.1042R = -0.1812R = 0.1541----
P = 0.0229aP = 0.1199P = 0.0066bP = 0.0210a
PHQ-2 scoreR = -0.1671R = 0.0839R = 0.016R = 0.1128R = 0.1578---
P = 0.0123aP = 0.211P = 0.8117P = 0.0921P = 0.0181a
GAD-2 scoreR = -0.1593R = 0.054R = -0.0522R = 0.1904R = 0.2303R = 0.6355--
P = 0.0172aP = 0.4212P = 0.4387P = 0.0042P = 0.0005cP < 0.00001c
WHO-5 scoreR = 0.038R = -0.1486R = 0.0581R = -0.0769R = -0.2326R = -0.6183R = -0.4855-
P = 0.572P = 0.0257aP = 0.3868P = 0.2511P = 0.0004cP < 0.00001cP < 0.00001c
SISSR = -0.1335R = -0.1347R = 0.3271R = -0.1253R = -0.2419R = -0.2163R = -0.3065R = 0.3785
P = 0.045aP = 0.0435aP < 0.00001cP = 0.0618P = 0.0003cP = 0.0011bP < 0.00001cP < 0.00001c