| Literature DB >> 22980340 |
Hatsumi Yoshii1, Yuichiro Watanabe, Hideaki Kitamura, Yoshitaka Sakai, Kouhei Akazawa.
Abstract
Schizophrenia can develop in junior and senior high school students. Correct identification of schizophrenia symptoms is an important factor in subsequent healthcare. The present study conducted a multifaceted evaluation of factors associated with an absence of effect of an education program for improving knowledge of schizophrenia among parents of Japanese junior and senior high school students. Regarding discrimination of prodromal symptoms, the factors associated with an absence of effect of the education program were graduate school education, family income >110 000 USD, proximity to a person with schizophrenia, employment as a professional, and participation in welfare activities for people with mental illness. Regarding discrimination of schizophrenia, the factors associated with an absence of effect were a family income of 53 000 to 110 000 USD (P<0.05), and employment in production/labor service (P<0.05).Entities:
Mesh:
Year: 2012 PMID: 22980340 PMCID: PMC4776908 DOI: 10.5539/gjhs.v4n4p42
Source DB: PubMed Journal: Glob J Health Sci ISSN: 1916-9736
Factors associated with an absence of effect of the education program
| n | Discrimination of schizophrenia | Discrimination of prodromal symptoms | |||
|---|---|---|---|---|---|
| Mean± SD | Mean± SD | ||||
| 0.276 | 0.347 | ||||
| 30-39 | 196 | 0.36±1.42 | 1.48±1.95 | ||
| 40-49 | 1743 | 0.55±1.62 | 1.20±2.04 | ||
| 50-59 | 512 | 0.60±1.65 | 1.24±2.13 | ||
| 60-69 | 14 | 0.21±2.05 | 1.21±2.58 | ||
| 0.937 | 0.567 | ||||
| Male | 1298 | 0.54±1.61 | 1.26±2.13 | ||
| Female | 1167 | 0.55±1.61 | 1.21±1.98 | ||
| 0.745 | 0.001 | ||||
| Junior high school | 25 | 0.80±1.29 | 1.72±2.17 | ||
| High school | 690 | 0.55±1.57 | 1.53±1.90 | ||
| Vocational school | 310 | 0.61±1.64 | 1.24±2.08 | ||
| Junior college | 355 | 0.58±1.65 | 1.02±1.94 | ||
| University | 990 | 0.51±1.62 | 1.18±2.15 | ||
| Graduate school | 91 | 0.46±1.75 | 0.29±2.08 | ||
| Others | 4 | 1.50±2.38 | 1.00±1.83 | ||
| 0.303 | 0.551 | ||||
| 2 parents | 1921 | 0.55±1.63 | 1.21±2.08 | ||
| 1 parent | 82 | 0.80±1.67 | 1.20±1.98 | ||
| 3 generations | 424 | 0.47±1.53 | 1.36±1.97 | ||
| Others | 38 | 0.76±1.67 | 1.29±1.99 | ||
| 0.008 | 0.002 | ||||
| < 11 000 | 37 | 1.00±1.43 | 1.59±1.98 | ||
| 11 000–32 000 | 181 | 0.81±1.82 | 1.54±1.87 | ||
| 32 000–53 000 | 465 | 0.67±1.64 | 1.40±1.99 | ||
| 53 000–110 000 | 1326 | 0.47±1.57 | 1.22±2.05 | ||
| >110 000 | 456 | 0.51±1.62 | 0.95±2.19 | ||
| 0.498 | 0.006 | ||||
| Yes | 78 | 0.42±1.40 | 0.60±2.25 | ||
| No | 2387 | 0.55±1.62 | 1.25±2.05 | ||
| 0.028 | 0.001 | ||||
| Agriculture, forestry, and fisheries | 8 | 1.75±1.67 | 1.50±1.51 | ||
| Production/labor service | 585 | 0.38±1.59 | 1.39±2.09 | ||
| Transportation and communication | 134 | 0.46±1.58 | 1.34±2.27 | ||
| Sales and marketing | 315 | 0.61±1.57 | 1.13±2.02 | ||
| Service industry | 305 | 0.72±1.73 | 1.31±2.02 | ||
| Professionals | 442 | 0.55±1.57 | 0.83±2.05 | ||
| Others | 153 | 0.53±1.65 | 1.09±2.01 | ||
| Unemployed | 523 | 0.59±1.62 | 1.42±2.00 | ||
| 0.338 | 0.001 | ||||
| Yes | 206 | 0.44±1.67 | 0.69±2.21 | ||
| No | 2259 | 0.55±1.61 | 1.28±2.04 | ||
Correct answer scores were calculated by dividing the subtract the “before” questionnaire from the “after” questionnaire with those on for all respondents by the number of items.
Student or Welch t-test and one-way analysis of variance.
Scores on “before” questionnaire (factors associated with an absence of effect of the education program)
| Maximum score: 4 | Maximum score: 4 | ||||
|---|---|---|---|---|---|
| Median (25%, 75%) | Median (25%, 75%) | ||||
| 0.001 | |||||
| Junior high school | 25 | - | 0.00 (0.00, 2.00) | ||
| High school | 690 | - | 1.00 (0.00, 2.00) | ||
| Vocational school | 310 | - | 1.00 (0.00, 2.00) | ||
| Junior college | 355 | - | 1.00 (0.00, 2.00) | ||
| University | 990 | - | 1.00 (0.00, 2.00) | ||
| Graduate school | 91 | - | 2.00 (1.00, 3.00) | ||
| Others | 4 | - | 1.00 (0.25, 2.50) | ||
| 0.990 | 0.037 | ||||
| Agriculture, forestry, and fisheries | 8 | - | 0.00 (0.00, 2.00) | ||
| Production/labor service | 585 | - | 1.00 (0.00, 2.00) | ||
| Transportation and communication | 134 | - | 1.00 (0.00, 2.00) | ||
| Sales and marketing | 315 | - | 1.00 (0.00, 2.00) | ||
| Service industry | 305 | - | 1.00 (0.00, 2.00) | ||
| Professionals | 442 | - | 1.00 (0.00, 3.00) | ||
| Others | 153 | - | 1.00 (0.00, 2.00) | ||
| Unemployed | 523 | - | 1.00 (0.00, 2.00) | ||
| 0.128 | 0.001 | ||||
| <11 000 | 37 | - | 1.00 (0.00, 2.00) | ||
| 11 000–32 000 | 181 | - | 1.00 (0.00, 2.00) | ||
| 32 000–53 000 | 465 | - | 1.00 (0.00, 2.00) | ||
| 53 000–110 000 | 1326 | - | 1.00 (0.00, 2.00) | ||
| >110 000 | 456 | - | 1.00 (0.00, 2.00) | ||
| 0.001 | |||||
| Yes | 78 | - | 2.00 (0.00, 3.00) | ||
| No | 2387 | - | 1.00 (0.00, 2.00) | ||
| 0.001 | |||||
| Yes | 206 | - | 1.00 (0.00, 3.00) | ||
| No | 2259 | - | 1.00 (0.00, 2.00) | ||
* Kruskal-Wallis test, Mann-Whitney U test