ObjectiveTo investigate the level of professional identity among psychiatric nurses and to explore what work‐related factors may affect their professional identity.MethodsFour hundred and twelve nurses were investigated. Two self‐report questionnaires were used: (a) Nursing Professional Identity Scale (NPIS, range: 30 ~ 150); and (b) Practice Environment Scale of Nursing Work (PESNW, range: 0 ~ 100) with six dimensions: nursing‐related hospital affairs, high‐quality nursing care, ability of nursing manager, manpower and material resources, cooperation between nurses and doctors, and salary and social status. Higher scores indicated higher professional identities and better work environments.ResultsThree hundred and ninety‐one of the participants completed the questionnaires and were analyzed. The mean age of the participants was 32.53 years, and 93.3% of them were female. The mean score of NPIS was 100.03 (SD: 17.44). Multiple linear regression showed that professional identity was significantly and positively associated with two dimensions of PESNW: salary and social status and ability of nursing manager.ConclusionsProfessional identity among psychiatric nurses was at a moderate level. Salary and social status and ability of nursing manager positively contributed to their professional identity. These results may indicate the directors to construct better work environments for psychiatric nursing to improve professional identity.

BackgroundThe management of modifiable risk factors and comorbidities may impact the future trajectory of cognitive impairment, but easy-to-implement management methods are lacking.AimsThis study investigated the effects of simple but comprehensive cognitive health management practices on the cognitive function of older adults in the community with normal cognition (NC) and mild cognitive impairment (MCI).MethodsThe comprehensive cognitive health management programme included a psychiatric assessment of the cognitive risk factors for those in the intervention groups and individualised recommendations for reducing the risks through self-management supported by regular medical professional follow-up. The intervention groups for this study included 84 elderly participants with NC and 43 elderly participants with MCI who received comprehensive cognitive health management. The control groups included 84 elderly participants with NC and 43 elderly participants with MCI who matched the intervention group’s general characteristics and scale scores using the propensity matching score analysis. The Montreal Cognitive Assessment (MoCA) scale and Geriatric Depression Scale (GDS) scores were compared after a 1-year follow-up.ResultsFor older adults with MCI in the intervention group, MoCA scores were higher at the 1-year follow-up than at baseline (24.07 (3.674) vs 22.21 (3.052), p=0.002). For the MoCA subscales, the intervention group’s abstract and delayed memory scores had significantly increased during the 1-year follow-up. Furthermore, in a generalised linear mixed model analysis, the interaction effect of group×follow-up was statistically significant for the MCI group (F=6.61, p=0.011; coefficients=5.83).ConclusionsAfter the comprehensive cognitive health management intervention, the older adults with MCI in the community showed improvement at the 1-year follow-up. This preliminary study was the first to demonstrate an easy-to-implement strategy for modifying the cognitive risk factors of elderly individuals with MCI in the community, providing new insight into early-stage intervention for dementia.