ABSTRACT
Objective:To know the clinical characteristics, seasonal pattern and influencing factors of atypical depression(AD) patients.Methods:A total of 203 depressed outpatients of Peking University Sixth Hospital from January 2021 to August 2021 were included.They were assessed with demographic questionnaire, inventory of depressive symptomatology self-report(IDS-SR30) and seasonal pattern assessment questionnaire(SPAQ). According the score of IDS-SR30, all patients were classified as atypical depression(AD) and non-atypical depression(non-AD). The data were analyzed by t-test, non-parametric test and Logistic regression using SPSS 26.0 software. Results:The prevalence of AD among depressed patients was 36.0% (95% CI=29.3%-42.6%). The IDS-30 score of the AD group was (41.59±10.59), and IDS-30 score of the non-AD group was (36.08±13.17), and the difference between the two groups was statistically significant ( t=3.062, P<0.05). The global seasonal score of the AD group was 6 (3, 9), and 17.8% of the AD group had seasonal pattren.The global seasonal score of the non-AD group was 5 (3, 8), and 14.6% of the non-AD group had seasonal pattern.There was no significant difference in the global seasonal score and the proportion of seasonal pattern between the two groups ( Z=0.389, χ2=0.359, P>0.05). Depression patients who were females ( β=1.08, OR=2.95, 95% CI=1.32-6.59, P<0.05), low self-evaluation ( β=0.82, OR=2.27, 95% CI=1.12-4.59, P<0.05)and psychomotor retardation ( β=0.93, OR=2.54, 95% CI=1.33-4.85, P<0.05) were more likely to be diagnosed as AD, and depression patients having mood variation ( β=-0.94, OR=0.39, 95% CI=0.19-0.81, P<0.05) were more likely to be diagnosed as non-AD. Conclusion:Women, low self-evaluation, psychomotor retardation and unobvious mood variation can predict and help to diagnose atypical depression in depressed patients.
ABSTRACT
Objective:To analyze the influencing factors of community hospice care service needs of the elderly based on structural equation model.Methods:A multi-stage sampling method was used to survey 564 elderly people from 40 community health service centers in four districts of Chaoyang District in Beijing from September to November 2020 with a self-designed questionnaire. The survey content included three dimensions: tendency characteristics (population characteristics, health beliefs), enabling resources and demand factors. The chi-square test and rank sum test were used to analyze the influencing factors of the community hospice care needs of the elderly. At the same time, based on Anderson theory, structural equation model was used to analyze the action path and effect size of the influencing factors.Results:Registered residence, occupation, understanding of community elderly care services, recognition of community medical convenience, recognition of community health services in reducing family burden, recognition of community health services in improving their own health, understanding of community hospice care services, mean monthly income of their families, degree of income satisfaction, self-paid medical expenses of the previous year, living status, acceptance of community medical expenses, satisfaction with the number of community medical staff, self-assessment of health status, whether the elderly was ill in the last two weeks and the number of chronic diseases and etc affected the needs of the elderly for community hospice care services (all P<0.05). In the three dimensions of Anderson model, enabling resources had a direct effect, and could also be affected by demand factors indirectly, the total effect value was 0.404; demand factors had direct impact, and the effect value was 0.193; propensity characteristics exerted impact indirectly through enabling resources and demand factors, and the total effect value was 0.176. Among them, the acceptance of community health service fees in the enabling resource dimension has the greatest impact (FL=0.535), the number of chronic disease in the demand factor dimension had the greatest impact (FL=1.018), and the recognition of community health service in reducing family burden in the propensity characteristic dimension had the greatest impact (FL=0.612) (all P<0.05). Conclusions:There are various factors and action paths that affect the needs of community hospice care services for the elderly. Among them, the acceptance of community health service fees, the number of chronic disease, and the recognition of community health service in reducing family burden have a greater impact.