| Literature DB >> 30566431 |
Xiang Liu1, Yi Huang2, Yuanyuan Liu3.
Abstract
Suicide attempts are the most important known predictor of death by suicide. The aim of this study is to examine the prevalence, distribution, and associated factors of suicide attempts among young adolescents in 40 low-income and middle-income countries. We used data from the Global School-Based Student Health Survey (2009-2013) and a nationally representative study in China (2010), which are school-based surveys of students primarily aged 12-18 years that assess health behaviors using an anonymous, standardized, self-reported questionnaire. We calculated the prevalence of suicide attempts in young adolescents from 40 low-income and middle-income countries using the surveys. Multilevel logistic models were used to estimate the associations between suicide attempts and potential risk factors, adjusting for gender, age, school and survey year. Results show that the mean 12-month prevalence of suicide attempts was 17.2%, ranging from 6.7% in Malaysia to 61.2% in Samoa. The overall prevalence of suicide attempts was higher for girls than for boys (18.2% vs 16.2%, P<0.05). Among the suicide attempts, the proportion of suicide attempts with a plan was higher for girls than for boys (62.7% vs 53.2%, P<0.05). Both the prevalence of suicide attempts and the proportion of suicide attempts with a plan increased with age. Factors associated with suicide attempts included poor socioeconomic status, history of bullying, loneliness and anxiety, tobacco and alcohol use, and weak family and social relationships. In conclusion, suicide attempts are frequent among young adolescents in low-income and middle-income countries. Girls and older adolescents tend to make suicide attempts with a plan. The data demonstrate the need to strengthen suicide intervention and prevention programs for young adolescents in low-income and middle-income countries.Entities:
Mesh:
Year: 2018 PMID: 30566431 PMCID: PMC6300318 DOI: 10.1371/journal.pone.0207823
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Survey characteristics of the GSHS according to country, 2009–2013.
| Country | Survey year | Sample size | Response rate (%) | Boys (%) |
|---|---|---|---|---|
| Benin | 2009 | 2649 | 99.7 | 65.0 |
| Ghana | 2012 | 3543 | 99.0 | 53.8 |
| Malawi | 2009 | 2212 | 99.1 | 46.9 |
| Mauritania | 2010 | 1976 | 98.0 | 47.1 |
| Namibia | 2013 | 4410 | 98.5 | 47.2 |
| Swaziland | 2013 | 3612 | 97.4 | 47.5 |
| Antigua and Barbuda | 2009 | 1216 | 98.8 | 46.6 |
| Argentina | 2012 | 27778 | 98.4 | 47.7 |
| Bahamas | 2013 | 1340 | 97.9 | 46.4 |
| Belize | 2011 | 1968 | 98.7 | 47.5 |
| Bolivia | 2012 | 3438 | 98.5 | 50.6 |
| British Virgin Islands | 2009 | 1584 | 99.1 | 44.9 |
| Costa Rica | 2009 | 2653 | 99.5 | 48.3 |
| Dominica | 2009 | 1599 | 99.1 | 43.7 |
| Guatemala | 2009 | 5419 | 99.2 | 45.5 |
| Honduras | 2012 | 1715 | 99.5 | 48.2 |
| Jamaica | 2010 | 1570 | 99.2 | 48.9 |
| Peru | 2010 | 2842 | 99.0 | 48.8 |
| Saint Kitts and Nevis | 2011 | 1714 | 98.8 | 44.0 |
| Salvador | 2013 | 1858 | 99.5 | 53.8 |
| Suriname | 2009 | 1673 | 98.9 | 51.1 |
| Trinidad and Tobago | 2011 | 2621 | 98.9 | 54.5 |
| Uruguay | 2012 | 3455 | 99.4 | 46.4 |
| Iraq | 2012 | 1980 | 98.9 | 56.4 |
| Kuwait | 2011 | 2650 | 98.9 | 50.3 |
| Lebanon | 2011 | 2248 | 99.6 | 46.7 |
| Morocco | 2010 | 2830 | 97.7 | 52.5 |
| Palestine | 2010 | 4441 | 97.3 | 47.3 |
| United Arab Emirates | 2010 | 2551 | 99.1 | 42.0 |
| Cambodia | 2013 | 3783 | 99.6 | 47.2 |
| Malaysia | 2011 | 25421 | 99.9 | 50.0 |
| Mongolia | 2013 | 5301 | 99.3 | 46.8 |
| Philippines | 2011 | 5212 | 99.8 | 43.2 |
| China | 2010 | 8820 | - | 50.5 |
| Kiribati | 2011 | 1555 | 98.6 | 43.5 |
| Niue | 2010 | 134 | 100.0 | 59.7 |
| Samoa | 2011 | 2303 | 93.7 | 41.2 |
| Solomon Islands | 2011 | 1293 | 97.1 | 52.0 |
| Tuvalu | 2013 | 899 | 98.3 | 48.5 |
| Vanuatu | 2011 | 1014 | 100.0 | 44.2 |
* China is one of the important countries in Asia, and it has large number of young adolescents, so we included China in our study. Because GSHS data in China were collected in 2003, we used data from a large sample size study performed in 2010 in China[24]. This research is part of a program for youth health risk behavior assessments in China, which was supported by China's Ministry of Science and Technology. The research was a school-based survey of suicidal behaviors among students mainly aged 12–18 years. The selection of eligible students and the questions used to assess suicidal behaviors were similar between this study and the GSHS.
GSHS questions used in the analysis of adolescent suicide attempts.
| Variable | Question | Values |
|---|---|---|
| Suicide attempt | During the past 12 months, how many times did you actually attempt suicide? | 0 = No |
| Suicide planning | During the past 12 months, did you make a plan for how you would attempt suicide? | 0 = No |
| Lack of food | During the past 30 days, how often did you go hungry because there was not enough food in your home? | 1 = Never/Rarely/Sometimes |
| Bullying | During the past 30 days, on how many days were you bullied? | 1 = No (0 days) |
| Loneliness | During the past 12 months, how often have you felt lonely? | 1 = Never/Rarely/Sometimes |
| Anxiety | During the past 12 months, how often have you been so worried about something that you could not sleep at night? | 1 = Never/Rarely/Sometimes |
| Parental support | During the past 30 days, how often did your parents or guardians understand your problems and worries? | 1 = Never/Rarely/Sometimes |
| Close friends | How many close friends do you have? | 1 = No (none) |
| Alcohol use | During the past 30 days, on how many days did you have at least one drink containing alcohol? | 1 = No (0 days) |
| Cigarette smoking | During the past 30 days, on how many days did you smoke cigarettes? | 1 = No (0 days) |
Prevalence of suicide attempts in young adolescents by region and gender.
| Region | Boys | Girls | Total |
|---|---|---|---|
| Africa | 20.6% (15.3–25.9) | 20.7% (15.7–25.7) | 20.6% (15.5–25.7) |
| Americas | 11.7% (10.2–13.2) | 16.8% (14.8–18.7) | 14.3% (12.7–15.9) |
| Eastern Mediterranean | 15.4% (12.2–18.5) | 16.7% (14.1–19.3) | 16.0% (13.2–18.7) |
| Asia | 7.8% (5.6–10.0) | 9.8% (6.2–13.4) | 8.9% (5.9–11.9) |
| Western Pacific | 31.2% (12.6–49.9) | 26.8% (4.2–49.4) | 28.6% (10.0–47.3) |
| Total | 16.2% (13.7–18.7) | 18.2% (15.5–20.9) | 17.2% (14.7–19.7) |
*P<0.05 for the difference between genders.
Prevalence of suicide attempts and proportion of suicide attempt type by gender and age.
| Characteristics | Suicide attempt | Type of suicide attempt | |
|---|---|---|---|
| Suicide attempt with a plan | Suicide attempt without a plan | ||
| Gender | |||
| Boys | 16.2% (13.7–18.7) | 53.2% (49.9–56.5) | 46.8% (43.5–50.1) |
| Girls | 18.2% (15.5–20.9) | 62.7% (60.1–65.2) | 37.3% (34.8–39.9) |
| Age | |||
| 12–13 years | 15.2% (13.0–17.4) | 54.1%(50.7–57.5) | 45.9%(42.5–49.3) |
| 14–15 years | 17.5% (14.9–20.1) | 59.7%(57.5–61.9) | 40.3%(38.1–42.5) |
| 16 years or older | 20.1% (17.1–23.1) | 61.2%(58.3–64.1) | 38.8%(35.9–41.7) |
* P<0.05 for the difference between genders.
▲P<0.05 for the difference between adolescents aged 12–13 years and the other age group.
Multilevel logistic regression analyses of the factors associated with suicide attempts.
| Model 1 | Model 2 | ||||
|---|---|---|---|---|---|
| Variables | Coefficient (SE) | Coefficient (SE) | |||
| Fixed effect | |||||
| GDP per capita | -0.019(0.0015) | 0.98(0.95–1.01) | 0.209 | ||
| Lack of food (Most of the time/Always) | 0.285(0.0401) | 1.33(1.23–1.44) | <0.001 | ||
| Being bullied (Yes) | 0.774(0.023) | 2.17(2.07–2.27) | <0.001 | ||
| Loneliness (Most of the time/Always) | 0.736(0.0292) | 2.09(1.97–2.21) | <0.001 | ||
| Anxiety (Most of the time/Always) | 0.740(0.0313) | 2.10(1.97–2.23) | <0.001 | ||
| Parental support (Most of the time/Always) | -0.326(0.0237) | 0.72(0.69–0.76) | <0.001 | ||
| Close friends (Yes) | -0.501(0.0394) | 0.61(0.56–0.65) | <0.001 | ||
| Cigarette smoking (Yes) | 0.758(0.0288) | 2.13(2.02–2.26) | <0.001 | ||
| Alcohol use (Yes) | 0.506(0.0266) | 1.66(1.57–1.75) | <0.001 | ||
| Random effect | |||||
| Level 3: Country | 0.343(0.082) | <0.001 | 0.333(0.122) | 0.006 | |
| Level 2: School | 0.185(0.013) | <0.001 | 0.148(0.016) | <0.001 | |
*Model 2 was adjusted for age, gender, school, country and survey year