| Literature DB >> 30058636 |
Kriti Thapa1, Rita Pokharel1, Rambha Sigdel2, Surya Prasad Rimal3.
Abstract
INTRODUCTION: The charm of mobile phone is more among young generation and the increasing use can lead to various harmful effects and may result in dependence. The objective of the study is to evaluate the pattern of mobile phone use among medical students.Entities:
Keywords: gender differences; medical students; mobile phone usage pattern.
Mesh:
Year: 2018 PMID: 30058636 PMCID: PMC8997326
Source DB: PubMed Journal: JNMA J Nepal Med Assoc ISSN: 0028-2715 Impact factor: 0.406
Pattern of mobile phone use.
| Characteristics | Category | n (%) |
|---|---|---|
| 1-2 hours | 67 (29.2) | |
| Time spent per day | 2-4 hours | 82 (35.8) |
| 4-6 hours | 42 (18.3) | |
| >6 hours | 38 (16.5) | |
| Median-3.5 IQR (5-2) | ||
| 1-5 | 142 (62) | |
| Calls per day | 6-10 >10 | 54 (23.6) 33 (14.4) |
| Median - 4.5 IQR (8.25-2.5) | ||
| 0 | 71 (31.0) | |
| 1-4 | 110 (48.0) | |
| SMS per day | 5-8 | 21 (9.2) |
| >8 | 27 (11.8) | |
| Median- 1.5 IQR (3.5-0.0) | ||
| <Rs. 500 | 111 (48.5) | |
| Money spent on recharge per month | Rs. 500- | 95 (41.5) |
| 1000 | ||
| >Rs. 1000 | 23 (10.0) | |
| Median: 500 IQR (675-200) | ||
| Morning | 8 (3.4) | |
| Time of maximum use | Afternoon | 16 (6.9) |
| Evening | 73 (31.8) | |
| Night | 157 (68.5) | |
| Classroom | 13 (5.6) | |
| Place/ Situation of maximum use | Library | 5 (2.1) |
| Eating | 7 (3.05) | |
| Driving | 1 (0.43) | |
| Room | 219 (95.6) | |
| Calling family members | 209 (91.2) | |
| Calling friends | 182 (79.47) | |
| Reason for use | Messaging | 132 (57.64) |
| Internet use | 216 (94.32) | |
| Playing games | 136 (59.38) | |
| Listening to music | 170 (74.23) | |
| Taking photos/videos | 160 (69.86) | |
| Study purpose | 33 (14.41) | |
(n = 229)
Association of pattern of mobile phone use with selected Socio-Demographic variables.
| Variables Category | Calls per day | P | Money spent in rupees | P | SMS per day | P | Time spend in hours | P | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1-5 | 6-10 | >10 | <500 | 5001000 | >1000 | 0 | 1-4 | 5-8 | >8 | 1-2 | 2-4 | 4-6 | >6 | ||||||
| Age in | |||||||||||||||||||
| 18-21 | 76 | 23 | 8 | 56 | 40 | 11 | 0.486 | 28 | 52 | 11 | 16 | 27 | 68 | 37 | 29 | ||||
| years | 0.008 | 0.320 | |||||||||||||||||
| 22-25 | 66 | 31 | 25 | 55 | 55 | 12 | 43 | 58 | 10 | 11 | 9 | 14 | 5 | 9 | 0.425 | ||||
| Sex | Male | 84 | 34 | 26 | 67 | 61 | 16 | 0.666 | 38 | 78 | 13 | 15 | 0.097 | 39 | 53 | 23 | 29 | ||
| Female | 58 | 20 | 7 | 0.110 | 44 | 34 | 7 | 33 | 32 | 8 | 12 | 28 | 29 | 19 | 9 | 0.182 | |||
(n=229)
Socio-Demographic variables of the respondents.
| Characteristics | Category | n (%) |
|---|---|---|
| Sex | Male | 144 (62.9) |
| Female | 85 (37.1) | |
| Type of family | Joint | 37 (16.2) |
| Nuclear | 192 (83.8) | |
| Family income status | Bad | 2 (0.9) |
| Average | 145 (63.3) | |
| Good | 82 (35.8) | |
| Academic year | 1st year | 49 (21.4) |
| 2nd year | 48 (21.0) | |
| 3rd year | 50 (21.8) | |
| 4th year | 46 (20.1) | |
| 5th year | 36 (15.7) |
(n=229)