| Summary: | 碩士 === 高雄醫學院 === 護理學研究所 === 85 === The purpose of this research was to study the community
adjustment of schizophrenic patients in relation to their
demographic data, disease symptoms,self-concept and the social
support. This research adopted purposive sampling, and
obtained 101 cases from a psychiatric clinic of a district
hospital in Southern Taiwan. The main research tools included
the Positive Symptoms Scale﹑Negative Symptoms Scale and the
Community Life Scale, which were party adopted from the
Community Psychiatric Rating Scale,the Self-Concept Scale, and
the Social Support Appraisal Scale. The data was analysed by
factor analysis﹑independent-samples t test﹑one-way ANOVA﹑
Mann-Whitney U test ﹑Kruskal-Wallis H test﹑Pearson correlation
﹑Spearman correlation and stepwise multiple regression. The
findings were as follows:(1). The community adjustment for the
subjects were lower than the medium level.(2). Most of the
subjects have had various degrees of symptoms; 60.3% positive
symptoms, 89.1% negative symptoms.(3). The self-concept for the
subjects were tend to be positive. The factor analysis,
found the following three factors for the Self-Concept scale
namely;「personal characteristics 」﹑「images」and 「personal
value」. The personal value were most positively scored
among the subjects.(4). The factor analysis for social support
appraisal scale also found four factors namely;「sense of
belonging」﹑「social recognition」﹑「linkage with friends
」﹑and「confidence in support」. The subjects responded
most positively on the factor of the「sense of belonging」,
which could interpreted as the caring and the attendance
they received from the family.(5). Those patients who have
an occupation, a spouse, who were older, whose onset was at
an older age, whose symptoms were lighter, who had more
positive self-concept, and who felt more social support, have
had better community adjustment.(6). The significant
predictors for the community adjustment were, according to
the order of significance, negative symptoms﹑status of an
occupation ﹑ social support﹑positive symptoms﹑and the
age. They could explain 80.6% of the total variance.(7). If
the disease factors being controled, the following important
factors could predict the status of community adjustment;
namely occupational status﹑social support﹑and the age.
They could explain 51.3% of the total variance.
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