| Objective: As China entering the aging society, older persons is a more prominent issue, In 2004 the elderly population is expected to increase to 3.6 billion, accounting for 23% of the total population, reached the peak of aging.Middle of this century, every 3 months there will be an elderly Chinese population. Therefore, the elderly population's health status and quality of life has aroused concern and attention in all aspects and so it has become an important work. Depression is the most common and the elderly the most serious mental disorders. Becoming an increasingly serious public health problem in society. In this study, a community of Changzhi cross-sectional survey of senile depression learn Changzhi senile depression in a community distribution of population distribution, Comparison of the prevalence of depression in older men and women.Explore the impact of factors of depression. To further explore the positive and effective community prevention and control of depression provide the scientific basis of interventions.Methods'A community in changzhi 60 years or older as the research object, using computer automatic diagnosis system with the elderly AGECAT) (mental health scale (GMS) and the influence factors of self-designed questionnaire for in-home scale. And by clinicians CCMD-3 and DSM reference to scale screening IV a suspicious depression cases make fitting diagnosis. All material use of Excel software SPSS 13.0 statistics, the input computer software for the results. Main descriptive analysis, X2 inspection, single factor Logistic Regression analysis method.Results" This investigation changzhi city a community 60 years or older, including among 856 people refuse to answer all questions 165, so the actual research 691 number.691 55.9% for men, and among 44.1% for women. Age distribution:60-70 years old for 206, accounting for participants occupy 29.8%,71 to 80 years, accounting for the 58,3 for 403 people more than 81 percent, for 82, accounting for 11.7%. Singles of 160 people, who was in marriage,521, accounting for 75.4%. Cadres/businessman 448, accounting for 64.8%, workers 138 people, farmers, accounting for 20% 91.3%, other 86, accounting for 12.4%. Cultural degree of illiteracy 11 per cent, primary sixers, junior high school of 89 percent of 180,26.05%, high school, accounting for 279 40.4% 133 people, college degree or above, accounted for 19.2 per cent. Male depression 20 people have 37 people, women depression. A chi-square test and:sex, marital, occupation, education, outdoor activities, life satisfaction, health, heart disease, diabetes, vision problems, residential pattern, friend exchanges, neighbors exchange, health change, economic difficulties, relatives died, stolen, and relatives and conflict between, fear experience, negative factor a quantity, daily activity ability, etc. With a statistical significance. Conclusion: 1 This community is obviously higher than female prevalence of men, the higher level of education, depression rates low degree of lower than culture older).2 Single factor Logistic regression analysis results show: age, gender, education, and marital status, outdoor activities, worry about children, life satisfaction self-evaluation, income self-evaluation, and health self-evaluation, heart disease, diabetes, migraine headaches, epilepsy, cancer, hearing problems, and physical disease quantity, religious belief, residential pattern, get help and trusted friend, friend exchanges, neighbors exchange, health change, economic difficulties, relatives died, unpleasant/sad, negative factor a quantity, daily living skills are influenced the late-life depression.3 Many factors show:worry about children, self-rated health sent, hearing problems, economic difficulties, the increase in the number of negative life events, daily life ability is poor, and lack of social support more prone to late-life depression.4 The diagnosis system used in late-life depression diagnosis has good reliability and validity.
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