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©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
Published online Aug 19, 2025. doi: 10.5498/wjp.v15.i8.106092
Table 1 Sociodemographic characteristics of the participants
Domain | n (%) |
Age group, years | |
< 25 | 191 (47.63) |
25-50 | 196 (48.87) |
> 50 | 14 (3.49) |
Sex | |
Male | 176 (43.89) |
Female | 224 (55.86) |
Prefer not to say | 1 (0.25) |
Occupation | |
Students pursuing a professional course | 150 (37.4) |
Salaried jobs | 143 (35.6) |
Students of the general stream | 40 (9.9) |
Self-employed | 30 (7.48) |
Unemployed | 15 (3.74) |
Housewife | 8 (1.99) |
Others | 15 (3.74) |
Religion | |
Hindu | 361 (90) |
Muslim | 20 (4.98) |
Sikh | 4 (0.99) |
Others | 16 (3.99) |
Domicile | |
Urban | 322 (80.29) |
Semi-urban | 51 (12.71) |
Rural | 28 (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? | 401 | 176 | 224 |
How many hours in a day do you spend on electronic gadgets? | |||
Less than 2 hours | 21 (5.2) | 9 | 12 |
2-4 hours | 85 (21.2) | 39 | 46 |
4-6 hours | 134 (33.4) | 55 | 79 |
6-8 hours | 96 (23.9) | 46 | 50 |
More than 8 hours | 65 (16.2) | 27 | 37 |
The single major reason for using an electronic gadget | |||
Official/professional work | 123 (30.6) | 71 | 52 |
Study | 114 (28.4) | 39 | 75 |
Social media | 82 (20.4) | 32 | 50 |
Entertainment | 76 (18.9) | 32 | 44 |
Study and entertainment | 1 (0.2) | 0 | 1 |
Both official and entertainment | 2 (0.49) | 1 | 1 |
Finding job | 1 (0.2) | 0 | 1 |
All of the above | 2 (0.49) | 2 | 0 |
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-2 | 2.191 ± 1.545 | 1.534 ± 1.389 | t = 4.412, df = 398, P = 0.0001 | 0.444 (0.245 to 0.644) |
PHQ-2 | 1.987 ± 1.531 | 1.721 ± 1.384 | t = 1.799, df = 398, P = 0.0728 | 0.181 (-0.017 to 0.379) |
WHO-5 | 52.035 ± 20.003 | 54.704 ± 20.022 | t = 1.983, df = 398, P = 0.048 | -0.133 (-0.331 to 0.064) |
GAD-2 | χ2 = 9.409 | Risk ratio = 1.71 | ||
Screen positive1 | 74 (33.03) | 34 (19.32) | P = 0.002 | Risk difference = 0.137 |
Screen negative | 150 (66.97) | 142 (80.68) | ||
PHQ-2 | χ2 = 0.862 | Risk ratio = 1.162 | ||
Screen positive1 | 68 (30.36) | 46 (26.14) | P = 0.353 | Risk difference = 0.042 |
Screen negative | 156 (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 minutes | R = -0.0056 | - | - | - | - | - | - | - |
P = 0.937 | ||||||||
Hours of sleep | R = -0.0941 | R = -0.044 | - | - | - | - | - | - |
P = 0.215 | P = 0.562 | |||||||
Procrastination time (minutes) | R = -0.0822 | R = 0.4034 | R = -0.276 | - | - | - | - | - |
P = 0.279 | P < 0.00001c | P = 0.0002c | ||||||
BtP score | R = -0.396 | R = 0.0242 | R = -0.0614 | R = 0.2003 | - | - | - | - |
P < 0.00001c | P = 0.750 | P = 0.421 | P = 0.0076b | |||||
PHQ-2 score | R = -0.192 | R = 0.1203 | R = -0.0586 | R = 0.2708 | R = 0.1891 | - | - | - |
P = 0.011a | P = 0.1117 | P = 0.444 | P = 0.0003c | P = 0.0119a | ||||
GAD-2 score | R = -0.1098 | R = 0.1011 | R = -0.1297 | R = 0.2961 | R = 0.3561 | R = 0.5769 | - | - |
P = 0.146 | P = 0.181 | P = 0.088 | P = 0.00007c | P < 0.00001c | P < 0.00001c | |||
WHO-5 score | R = 0.1021 | R = - 0.246 | R = 0.0469 | R = -0.1948 | R = -0.1471 | R = -0.3933 | R = -0.2971 | - |
P = 0.177 | P = 0.0009c | P = 0.536 | P = 0.0095b | P = 0.0515 | P < 0.00001c | P = 0.00006c | ||
SISS (sleep quality) | R = 0.0505 | R = -0.2487 | R = 0.1403 | R = -0.3029 | R = -0.2555 | R = -0.2362 | R = -0.2811 | R = 0.418 |
P = 0.506 | P = 0.0009c | P = 0.063 | P = 0.00004c | P = 0.0006c | P = 0.0016b | P = 0.00016c | P < 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 minutes | R = -0.0881 | - | - | - | - | - | - | - |
P = 0.189 | ||||||||
Hours of sleep | R = -0.1091 | R = -0.1573 | - | - | - | - | - | - |
P = 0.104 | P = 0.0187a | |||||||
Procrastination time (minutes) | R = 0.0244 | R = 0.1732 | R = -0.1257 | - | - | - | - | - |
P = 0.716 | P = 0.0094b | P = 0.0597 | ||||||
BtP score | R = -0.1518 | R = 0.1042 | R = -0.1812 | R = 0.1541 | - | - | - | - |
P = 0.0229a | P = 0.1199 | P = 0.0066b | P = 0.0210a | |||||
PHQ-2 score | R = -0.1671 | R = 0.0839 | R = 0.016 | R = 0.1128 | R = 0.1578 | - | - | - |
P = 0.0123a | P = 0.211 | P = 0.8117 | P = 0.0921 | P = 0.0181a | ||||
GAD-2 score | R = -0.1593 | R = 0.054 | R = -0.0522 | R = 0.1904 | R = 0.2303 | R = 0.6355 | - | - |
P = 0.0172a | P = 0.4212 | P = 0.4387 | P = 0.0042 | P = 0.0005c | P < 0.00001c | |||
WHO-5 score | R = 0.038 | R = -0.1486 | R = 0.0581 | R = -0.0769 | R = -0.2326 | R = -0.6183 | R = -0.4855 | - |
P = 0.572 | P = 0.0257a | P = 0.3868 | P = 0.2511 | P = 0.0004c | P < 0.00001c | P < 0.00001c | ||
SISS | R = -0.1335 | R = -0.1347 | R = 0.3271 | R = -0.1253 | R = -0.2419 | R = -0.2163 | R = -0.3065 | R = 0.3785 |
P = 0.045a | P = 0.0435a | P < 0.00001c | P = 0.0618 | P = 0.0003c | P = 0.0011b | P < 0.00001c | P < 0.00001c |
- Citation: Parasher G, Gupta S, Kar SK. Interplay among bedtime procrastination, sleep patterns, and subjective wellbeing in the Indian population: An observational study. World J Psychiatry 2025; 15(8): 106092
- URL: https://www.wjgnet.com/2220-3206/full/v15/i8/106092.htm
- DOI: https://dx.doi.org/10.5498/wjp.v15.i8.106092