| Literature DB >> 28598378 |
Wilfred Hing-Sang Wong1, James Chun-Yin Lee2, Frederick Ka-Wing Ho3, Tim Man-Ho Li4, Patrick Ip5, Chun-Bong Chow6.
Abstract
Although a few studies investigated the impact of stock market fluctuations on population health, the question of whether stock market fluctuations have an impact on self-harm in children and adolescents remain unanswered. This study therefore investigated the association between stock market fluctuations and self-harm among children and adolescents in Hong Kong. Daily self-harm attendance records were retrieved from all 18 local Accident and Emergency Departments (AED) from 2001 to 2012. 4931 children and adolescents who committed self-harm were included. The results indicated positive correlation between daily change in stock market index, Hang Seng Index (∇HSI, per 300 points), and daily self-harm incident risk of children and adolescents, without time lag between the two. The incident risk ratio for ∇HSI was 1.09 (p = 0.0339) in children and 1.06 (p = 0.0246) in adolescents. Importantly, non-trading days were found to impose significant protective effect in both groups against self-harm risk. Our results showed that stock market fluctuations were related to self-harm behaviors in children and adolescents. Parents and professionals should be educated about the potential harm of stock market fluctuations and the importance of effective parenting in reducing self-harm among children and adolescents.Entities:
Keywords: Hong Kong children; self-harm; stock market
Mesh:
Year: 2017 PMID: 28598378 PMCID: PMC5486309 DOI: 10.3390/ijerph14060623
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Self-harm attendance number and corresponding attendance rate per 100,000 persons.
| Year | Age 5 to 12 | Age 13 to 19 | ||
|---|---|---|---|---|
| Total No. of Self-Harm | Incidence Rate per 100,000 Persons | Total No. of Self-Harm | Incidence Rate per 100,000 Persons | |
| 2001 | 530 | 80 | 529 | 85 |
| 2002 | 254 | 39 | 416 | 67 |
| 2003 | 230 | 36 | 276 | 45 |
| 2004 | 121 | 20 | 287 | 47 |
| 2005 | 87 | 15 | 223 | 36 |
| 2006 | 156 | 27 | 277 | 45 |
| 2007 | 125 | 23 | 276 | 45 |
| 2008 | 88 | 17 | 212 | 34 |
| 2009 | 44 | 9 | 174 | 28 |
| 2010 | 26 | 5 | 139 | 23 |
| 2011 | 75 | 17 | 191 | 33 |
| 2012 | 32 | 7 | 163 | 29 |
| Total | 1768 | 3163 | ||
Estimated Coefficients in Negative Binomial Regression of (a) Children (Age 5 to 12) and (b) Adolescents (Age 13 to 19).
| (a) Age 5 to 12 | (b) Age 13 to 19 | |||
|---|---|---|---|---|
| Estimate | 95% CI | Estimate | 95% CI | |
| ∇HSI | 0.0864 * | (0.0066, 0.1662) | 0.0570 * | (0.0073, 0.1067) |
| Holiday | −0.2248 ** | (−0.3467, −0.1029) | −0.1632 ** | (−0.2459, −0.0805) |
| tlong | −0.00052 ** | (−0.00057, −0.00047) | −0.00027 ** | (−0.0003, −0.00024) |
| February | −0.3158 * | (−0.5723, −0.0593) | 0.0619 | (−0.1254, 0.2492) |
| March | −0.1894 | (−0.4335, 0.0548) | 0.1808 * | (0.0020, 0.3596) |
| April | −0.3347 * | (−0.5895, −0.0800) | −0.0500 | (−0.2399, 0.1399) |
| May | −0.2743 * | (−0.5243, −0.0243) | 0.1842 * | (0.0048, 0.3636) |
| June | −0.4502 ** | (−0.7133, −0.1871) | 0.0320 | (−0.1549, 0.2189) |
| July | −0.3371 ** | (−0.5920, −0.0823) | −0.0082 | (−0.1956, 0.1792) |
| August | −0.2818 * | (−0.5345, −0.0292) | 0.0486 | (−0.1368, 0.2340) |
| September | −0.3522 ** | (−0.6124, −0.0921) | 0.1983 * | (0.0169, 0.3797) |
| October | −0.1010 | (−0.3463, 0.1442) | 0.3342 ** | (0.1586, 0.5098) |
| November | −0.2238 | (−0.4782, 0.0306) | 0.1434 | (−0.0407, 0.3275) |
| December | −0.5328 ** | (−0.8054, −0.2601) | −0.1612 | (−0.3578, 0.0354) |
Significance codes: * p < 0.05, ** p < 0.01.