| Objective: Mild cognitive impairment (mild cognitive impairment, MCI) is the state between normal aging and dementia, for cognitive dysfunction, but not accompanied by a significant decline in activities of daily living characterized. Each year about a certain percentage of patients with MCI gets into dementia, and MCI is a high risk population of dementia. If treatment can be given in the MCI stage , may reduce the incidence of dementia. So how early diagnosis of MCI is being as the research Hot of geriatrics and neurology in recent years. The standard in diagnosis of MCI at home and abroad is no fixed , and its risk factors are also highly controversial, so we need to be more research. This study was designed to clear the impact factors of mild cognitive impairment , the explicit control of risk factors to prevention and treatment of mild cognitive impairment, sensitive neuropsychological assessment scales of mild cognitive impairment.Method: (1) The survey was conducted in December 2007 ~ December 2009 period, in Qinhuangdao city community 65 years and older selected, including urban and rural populations. Eventually enrolled in the study 1011 cases, 410 cases of male and female 601 cases. Adopt a unified and standardized survey questionnaire language, according to the list of household, and detailed record survey data. Subjects who meet inclusion criteria are given cognitive function assessment, and recorded demographic data (Table 1), habits (Table 2), past medical history (Table 3), neuropsychological assessment (Table 4-6 ). Finalized diagnosis (including diagnosis of cognitive level and other diseases).The subjects who can not complete the assessment or who can not meet the cognitive assessment are based on clinical information for diagnosis.Results: (1) 67 cases with mild cognitive impairment, 45 cases with dementia , 899 cases of normal, MCI's rate was 6.63%, 4.45% incidence of dementia; (2)Between age (trendχ2 = 120.106, P≤0.000), long-term residence (χ2 = 4.758, P = 0.029) and incidence of MCI, there are significant statistical differences, which increase with age, MCI followed the trend rate of growth significantly; Gender (χ2 = 1.773, P = 0.183), educational situation (χ2 = 0.702, P = 0.402), body mass index (T = 0.876, P = 0.386), occupational (χ2 = 10.030, P = 0.123) are no significant statistical school different. (3)Between smoking habits in the history (trendχ2 = 5.097, P = 0.024), whether drinking (χ2 = 7.251, P = 0.007), exercise status (trendχ2 = 43.729, P≤0.000) and the incidence of MCI, there are significant statistical differences, which increase with the smoking history, MCI has significantly the incidence of subsequent growth trends, and with exercise duration increased state, MCI has significantly the incidence of subsequent growth trends; Wheater tea (χ2 = 0.171, P = 0.679) is no significant statistical different. (4)Between cerebrovascular disease (χ2 = 8.760, P = 0.003), heart disease (χ2 = 8.767, P = 0.003), endocrine and metabolic diseases (χ2 = 4.018, P = 0.045), epilepsy (χ2 = 21.558, P≤0.000), depression (χ2 = 5.026, P = 0.060), history of brain trauma (χ2 = 39.447, P≤0.000), family history (χ2 = 11.630, P = 0.001) and incidence of MCI, there are significant statistical school differences. Hypertension (χ2 = 1.068, P = 0.301) has no significant difference. 5 MMSE, MoCA, FAQ recognize the effect of MCI: MMSE MCI recognition sensitivity (%) were 59.70, specificity (%) were 89.21, accuracy (%) were 87.16, the false positive rate (%) were 10.79, false negative rate (%) were 40.30; MoCA MCI recognition sensitivity (%) were 89.55, specificity (%) were 97.66, accuracy (%) were 97.10, the false positive rate (%) were 23.36, the false negative rate (%) were 10.45; FAQ MCI recognition sensitivity (%) were 58.20, specificity (%) were 89.43, accuracy (%) were 87.27, false positive rate (%) were 10.57, false negative rate (%) were 41.79;Conclusion: 1 MCI's rate was 6.63%, 4.45% was incidence of dementia. 2 Between age, long-term residence and incidence of MCI, there are significant statistical differences, which increase with age, MCI has significantly the incidence of subsequent growth trends; Between city and rural, rural areas where the incidence of MCI was significantly higher than the city. Gender, educational background, body mass index, occupation have no significant statistical difference. 3 Between habits of smoking, drinking motion state, and the incidence of MCI, there are significant statistical differences, which increase with the smoking history, MCI growth rate followed the trend apparently, with the duration of growth of motion state, MCI followed the trend rate of growth significantly, the prevalence of drinking among MCI was significantly higher than non-drinkers. whether tea has no significant statistical difference. 4 Between cerebrovascular disease, heart disease, endocrine and metabolic diseases, epilepsy, depression, brain trauma history, family history and the incidence of MCI, there are significant statistical difference. No significant difference in blood pressure. 5 MMSE, MoCA, FAQ recognize the effect of MCI compared: MoCA's sensitivity, specificity and accuracy were higher than MMSE, FAQ, which can find the case that MMSE, FAQ can not distinguish between MCI and wrongly differentiated MCI; MMSE and FAQ sensitivity, specificity and accuracy were the same.
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