| Literature DB >> 25878637 |
Abdus Salam1, Raynuha Mahadevan2, Amir Abdul Rahman3, Norsyafiqah Abdullah4, Aimi Aqilah Abd Harith5, Chu Pei Shan6.
Abstract
OBJECTIVE: To identify the stress-prevalence and coping-strategies among University Kebangsaan Malaysia (UKM) medical students.Entities:
Keywords: Coping strategies; Medical students; Stress prevalence
Year: 2015 PMID: 25878637 PMCID: PMC4386180 DOI: 10.12669/pjms.311.6473
Source DB: PubMed Journal: Pak J Med Sci ISSN: 1681-715X Impact factor: 1.088
Demographic profile of the respondents, n=231
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| Gender | Male | 33 (33.3) | 44 (33.3) | |
| Female | 66 (66.7) | 88 (66.7) | ||
| Ethnicity | Malay | 69 (69.7) | 78 (59.1) | |
| Chinese | 15 (15.2) | 49 (37.1) | ||
| Indian | 15 (15.2) | 5 (3.8) | ||
| Residency | Hostel | 97 (98) | 126 (95.5) | |
| Parental Home | 2 (2.0) | 0 (0.0) | ||
| Rented Accommodation | 0 (0.0) | 6 (5.5) | ||
| Marital Status | Single | 98 (99) | 126 (95.5) | |
| Married | 1 (1) | 6 (4.5) | ||
| Motivation to | Own Interest | 83 (83.8) | 81 (61.4) | |
| Family Influence | 8 (8.1) | 19 (14.4) | ||
| Randomly Choose | 8 (8.1) | 32 (24.2) | ||
Distributions of prevalence of stress and arousal among the respondents
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| Year of study | First Year (n=99) | 49 (49.5) | 50 (50.5) |
| Third Year (n=132) | 64 (47.7) | 69 (52.3) | |
| Gender | Male (n=77) | 35 (45.5) | 42 (54.5) |
| Female (n=154) | 77 (50) | 77 (50) | |
| Ethnicity | Malay (n=147) | 76 (51) | 72 (49) |
| Non Malay (n=84) | 37 (44) | 47 (56) | |
| Total (n=231) | 112 (48.5) | 119 (51.5) | |
Distribution of stress and arousal level in terms of their mean score ± SD among the respondents
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| Male | 4.55±2.75 | 0.73 | 5.30±2.02 | 0.70 | 6.41±3.69 | 0.41 | 7.43+2.14 | 0.24 |
| Female | 4.74±2.53 | 5.14±1.94 | 7.00±4.12 | 6.94±2.46 | |||||
| Ethnicity | Malay | 5.00±2.72 | *0.04 | 5.19±2.10 | 0.98 | 7.43+2.14 | *0.01 | 7.37±2.33 | 0.12 |
| Non Malay | 3.93±2.13 | 5.20±1.63 | 5.76±3.31 | 6.72±2.38 | |||||
Distribution of coping strategies among the respondents
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| Gender | Task-oriented | ||||
| Male | 63.21±8.44 | 0.65 | 58.66±9.01 | 0.30 | |
| Female | 62.38±8.81 | 60.47±9.97 | |||
| Avoidance-oriented | |||||
| Male | 51.12±11.89 | 0.39 | 51.14±9.89 | 0.37 | |
| Female | 53.30±11.75 | 52.81±10.40 | |||
| Emotion-oriented | |||||
| Male | 44.09±11.38 | 0.58 | 42.27±10.21 | 0.85 | |
| Female | 42.76±11.33 | 42.61±9.20 | |||
| Ethnicity | Task-oriented | ||||
| Malay | 62.38±9.25 | 59.83±10.45 | |||
| Chinese | 61.60±5.57 | 0.50 | 59.29±8.52 | 0.34 | |
| Indian | 65.00±8.38 | 66.00±5.88 | |||
| Avoidance-oriented | |||||
| Malay | 51.97±12.16 | 52.18±11.17 | |||
| Chinese | 53.53±9.39 | 0.73 | 52.24±8.83 | 0.968 | |
| Indian | 54.40±12.65 | 53.40±9.29 | |||
| Emotion-oriented | |||||
| Malay | 44.00±11.11 | 42.59±10.31 | |||
| Chinese | 39.80±10.69 | 0.43 | 41.55±8.14 | 0.14 | |
| Indian | 52.93±12.86 | 50.40±5.73 |