| Literature DB >> 31598120 |
Maryam Izadi-Mazidi1, Hamid Yaghubi1, Pavaneh Mohammadkhani2, Hamidreza Hassanabadi3.
Abstract
Objective: The aim of this cross sectional study was to assess the factor analysis of Functional Assessment of Self-Mutilation (FASM) among Iranian adolescents with non-suicidal self-injury. Method: In this study, 646 high school students, with the mean age of 16.55 ± 0.7, were selected using a multistage cluster sampling method; they completed FASM and the demographic form. Data were analyzed using the descriptive statistics, chi-square (χ2), independent sample t test, MANOVA, and confirmatory factor analyses (CFA).Entities:
Keywords: Adolescent; Assessment; Functional Assessment of Self-Mutilation (FASM); NonSuicidal Self-Injury
Year: 2019 PMID: 31598120 PMCID: PMC6778602
Source DB: PubMed Journal: Iran J Psychiatry ISSN: 1735-4587
Demographic Features of Participants and Prevalence of Self-Injury According to Demographic Variables among Adolescents
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| Male | 294(45.51) | 76(42.69) | 218(46.58) | 0.2 |
| Female | 352(54.48) | 102(57.30) | 250(53.41) | ||
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| Fars | 377 (58.35) | 100(56.1) | 277 (59.18) | 0.2 |
| Turk | 128(19.81) | 41(23.03) | 87(18.58) | ||
| Lor, Kord and Arab | 69(10.68) | 23(12.92) | 46(9.82) | ||
| Other | 25(3.89) | 4(2.24) | 21(4.48) | ||
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| Mathematics | 198(30.1) | 37(20.78) | 161(34.4) | <0.001 |
| Human Sciences | 253(40.0) | 92(51.68) | 161(34.4) | ||
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| 181(28.6) | 41(23.03) | 140(29.91) | ||
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| High school and Lower | 164(28.4) | 50(31.25) | 114(27.27) | 0.5 |
| Diploma and Associate Degree | 232(40.1) | 57(35.62) | 175(41.86) | ||
| Bachelor | 125(21.6) | 37(23.12) | 88(21.05) | ||
| Post graduate | 57(9.9) | 16(10) | 41() | ||
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| High school and Lower | 154(26.1) | 52(32.09) | 102(23.88) | 0.2 |
| Diploma and Associate Degree | 237(40.2) | 59(36.41) | 178(41.68) | ||
| Bachelor | 119(20.2) | 29(17.9) | 90(21.07) | ||
| Post graduate | 79(13.4) | 22(13.58) | 57(13.34) | ||
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| North | 121(18.73) | 28(15.73) | 93(19.87) | P<0.001 |
| South | 282(43.65) | 96(53.93) | 186(39.74) | ||
| East | 128(19.81) | 41(23.03) | 87(18.58) | ||
| West | 115(17.8) | 13(7.3) | 102(21.79) | ||
Descriptive Statistics for Contextual Features of SMB among Adolescents
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| No pain | 39 | 21.9 |
| Little pain | 56 | 31.5 |
| Moderate pain | 56 | 31.5 |
| Severe pain | 11 | 6.2 |
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| Not at all | 70 | 39.32 |
| A Little Bit | 28 | 15.7 |
| Somewhat | 1 | 0.7 |
| Very Much | 14 | 9.6 |
| Extremely | 5 | 3.4 |
SMB: self-mutilative behavior
Summary of the CFA Results of the 3 Models of FASM among Adolescents
| Model | Χ2 | Df | Χ2/df | GFI | AGFI | RMSEA | AIC |
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| 2-factor | 438.36 | 188 | 2.33 | 0.78 | 0.73 | 0.09 | 524.36 |
| 3-factor | 646.52 | 206 | 3.13 | 0.71 | 0.65 | 0.1 | 740.52 |
| 4-factor | 337.61 | 183 | 1.84 | 0.82 | 0.77 | 0.07 | 433.61 |
**p < 0.01; *p < 0.05
CFA: confirmatory factor analysis
FASM: Functional Assessment of Self-Mutilation
Gender Differences in Functions of NSSI among Adolescents
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| Male | 0.77 | 0.85 | 4.05 | 0.04 |
| Female | 1.06 | 0.82 | |||
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| Male | 0.79 | 0.73 | 0.06 | 0.8 |
| Female | 0.83 | 0.77 | |||
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| Male | 0.35 | 0.4 | 0.36 | 0.5 |
| Female | 0.4 | 0.58 | |||
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| Male | 0.38 | 0.47 | 0.00 | 0.9 |
| Female | 0.38 | 0.39 |
NSS: Non-Suicidal Self-Injury
Figure 1Factor Model Fitted for FASM Data among Adolescents