Objective Effects of conventional and atypical antipsychotics on bone mineral density (BMD) and serum prolactin levels (PRL) were examined in patients with schizophrenia. Methods One hundred and sixty-three first-episode inpatients with schizophrenia were recruited, to whom one of three conventional antipsychotics (perphenazine, sulpiride, and chlorpromazine) or one of three atypical antipsychotics (clozapine, quetiapine, and aripiprazole) was prescribed for 12 months as appropriate. BMD and PRL were tested before and after treatment. Same measures were conducted in 90 matched healthy controls. Results Baseline BMD of postero-anterior L1-L4 range from 1.04 ± 0.17 to 1.42 ± 1.23, and there was no significant difference between the patients group and healthy control group. However, post-treatment BMD values in patients (ranging from 1.02 ± 0.15 to 1.23 ± 0.10) were significantly lower than that in healthy controls (ranging from 1.15 ± 0.12 to 1.42 ± 1.36). The BMD values after conventional antipsychotics were significantly lower than that after atypical antipsychotics. The PRL level after conventional antipsychotics (53.05 ± 30.25 ng/ml) was significantly higher than that after atypical antipsychotics (32.81 ± 17.42 ng/ml). Conditioned relevance analysis revealed significant negative correlations between the PRL level and the BMD values after conventional antipsychotics. Conclusion The increase of PRL might be an important risk factor leading to a high prevalence of osteoporosis in patients with schizophrenia on long-term conventional antipsychotic medication.
Objective The aim of this study was to explore health anxiety (HA) in a sample of hospital medical employees and to identify factors that influence HA. Methods A consecutively recruited sample of 1702 medical employees with or without HA was obtained from 13 hospitals across China. Participants’ demographic and clinical characteristics were collected using a standardized protocol and data collection procedure. Subjects were divided into a HA and non-HA group according to their scores on the Chinese version of the Short Health Anxiety Inventory. Comparisons between groups were conducted and binary logistic regression was used to identify risk factors of HA. Results Total HA prevalence was 30.14%. There were significant differences between the HA and non-HA groups in number of working years, hospital category, sex, marital status, family income, personality, physical disease and education degree. Working in a specialist hospital, being female, being married, low income, introversion, graduate education or above and presence of physical disease were risk factors of HA. Conclusions HA is common in medical employees. More investigation of the long-term impact of HA is warranted.
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