| Literature DB >> 24369819 |
Yi-Chen Chiang, Tony Szu-Hsien Lee, Lee-Lan Yen, Chi-Chen Wu, Dai-Chan Lin, Baai-Shyun Hurng, Hsing-Yi Chang1.
Abstract
BACKGROUND: Suicide is the second leading cause of death among young people in Taiwan. However, few studies have investigated children's suicidal ideation, and longitudinal studies are particularly rare. The purposes of this study were: (1) to describe the proportion of students with suicidal ideation in one month and incidence of suicidal ideation in the 7th graders (the first year of junior high school) living in urban and rural areas; (2) to realize the influence of perceived stressors on the onset of 7th graders' suicidal ideation; and (3) to explore possible pathways through which trigger factors and perceived stressors lead to suicidal ideation.Entities:
Mesh:
Year: 2013 PMID: 24369819 PMCID: PMC3883481 DOI: 10.1186/1471-2458-13-1233
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Possible pathway for onset of suicidal ideation in grade 7. *: The variable was examined in two ways: (1) the value in grade 7; and (2) the difference between the values in grade 6 and grade 7.
Figure 2Proportion of students with suicidal ideation in one month from grade 4 to grade 7 in urban and rural areas.
Figure 3Incidence of children’s suicidal ideation from grade 5 to grade 7 in urban and rural areas.
Sex differences and urban-rural disparity in the new case rate of suicidal ideation in 7graders
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|---|---|---|---|---|---|---|---|---|---|
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| New case rate (%) | 6.8 | 7.0 | 6.9 | 10.6 | 11.8 | 11.2 | 8.7 | 9.4 | 9.0 |
| Sex difference | χ2 = 0.01 | | χ2 = 0.31 | | χ2 = 0.24 | | |||
| Urban-rural disparity | χ2 = 8.97** | ||||||||
χ2: The Chi-Square test.
**: P < 0.01.
Figure 4The proportion of students perceiving a high degree of pressure from stressors in grade 7 in urban and rural areas.
Logistic regression models for onset of suicidal ideation in 7graders
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|---|---|---|---|---|---|---|
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| Total score | ||||||
| | | | | | | |
| Advancing to high school | 0.67 | (0.29,1.59) | NS | 1.02 | (0.47,2.22) | NS |
| Academic performance | 2.13 | (0.96,4.71) | NS | |||
| Body shape | 0.74 | (0.25,2.19) | NS | |||
| Getting along with teachers | 0.90 | (0.25,3.22) | NS | 1.58 | (0.58,4.33) | NS |
| Talent and skills | 1.73 | (0.58,5.14) | NS | 1.92 | (0.73,5.05) | NS |
| Romantic relationships | 1.32 | (0.36,4.83) | NS | 0.62 | (0.17,2.30) | NS |
| Getting along with friends | 1.73 | (0.58,5.16) | NS | |||
| Family economic status | 1.93 | (0.46,8.00) | NS | 1.25 | (0.34,4.61) | NS |
| Getting along with parents | 0.21 | (0.03,1.64) | NS | |||
| | | | | | | |
| Model 1: 0.71 | Model 1: 0.71 | |||||
| Model 2: 0.69 | Model 2: 0.71 | |||||
| Model 1: | Model 1: | |||||
| Model 2: | Model 2: | |||||
Note: aBackground factors including sex and perceived family income were controlled in both Model 1 and Model 2. Neither sex nor perceived family income had a significant association with the dependent variable. bThe total score for the 9 stressors (ranging from 9 to 45) was used in Model 1. Two categories, high-pressured (participants who answered “greatly” or “very greatly” in response to questions about the degree of pressure from stressors) and low-pressured (participants who did not answer “greatly” or “very greatly”) were used in Model 2. C is one of the goodness-of-fit indices, which is the comparison between the predicted probabilities and the observed responses. It is provided by SAS.
*: P < 0.05; **: P < 0.01; ***: P < 0.001; NS: non-significant.
Figure 5The standardized coefficients of associations in the possible pathway of onset of suicidal ideation in grade 7 in the urban area. (Note: Every line in the figure denotes a statistically significant relationship. Correlation between each two exogenous variables were controlled in this model).
Figure 6The standardized coefficients of associations in the possible pathway of onset of suicidal ideation in grade 7 in the rural area. (Note: Every line in the figure denotes a statistically significant relationship. Correlation between each two exogenous variables were controlled in this model).