中国康复理论与实践
中國康複理論與實踐
중국강복이론여실천
CHINESE JOURNAL OF REHABILITATION THEORY & PRACTICE
2013年
6期
583-585
,共3页
宋亚军%张保利%李居艳%,李相桦%尚兰%,李娟%,杨甫德
宋亞軍%張保利%李居豔%,李相樺%尚蘭%,李娟%,楊甫德
송아군%장보리%리거염%,리상화%상란%,리연%,양보덕
老年人%认知%教育%危险因素
老年人%認知%教育%危險因素
노년인%인지%교육%위험인소
the elderly%cognition%education%risk factors
目的调查北京社区中老年人群的认知障碍现状及相关影响因素。方法自制一般情况调查表,采用简易精神状态检查(MMSE)对北京城区2055名老人进行调查。结果有效问卷1985份。单因素分析显示,年龄(F=37.068, P<0.001,β=-0.228)、性别(β=-0.187)、受教育水平(F=21.875, P<0.001,β=0.425)、婚姻状况(β=0.328)、社会交往(β=0.124)和锻炼频率(F=21.58, P=0.00,β=0.126)与MMSE得分有统计学关联(P<0.001);多因素分析显示,受教育水平(β=0.421)、年龄(β=-0.226)、性别(β=-0.226)、锻炼频率(β=0.128)与MMSE得分有统计学关联(P<0.001)。结论年龄、受教育程度、锻炼频率是影响社区老年人认知功能的重要因素,年龄是消极因素,受教育程度、锻炼频率是积极因素。
目的調查北京社區中老年人群的認知障礙現狀及相關影響因素。方法自製一般情況調查錶,採用簡易精神狀態檢查(MMSE)對北京城區2055名老人進行調查。結果有效問捲1985份。單因素分析顯示,年齡(F=37.068, P<0.001,β=-0.228)、性彆(β=-0.187)、受教育水平(F=21.875, P<0.001,β=0.425)、婚姻狀況(β=0.328)、社會交往(β=0.124)和鍛煉頻率(F=21.58, P=0.00,β=0.126)與MMSE得分有統計學關聯(P<0.001);多因素分析顯示,受教育水平(β=0.421)、年齡(β=-0.226)、性彆(β=-0.226)、鍛煉頻率(β=0.128)與MMSE得分有統計學關聯(P<0.001)。結論年齡、受教育程度、鍛煉頻率是影響社區老年人認知功能的重要因素,年齡是消極因素,受教育程度、鍛煉頻率是積極因素。
목적조사북경사구중노년인군적인지장애현상급상관영향인소。방법자제일반정황조사표,채용간역정신상태검사(MMSE)대북경성구2055명노인진행조사。결과유효문권1985빈。단인소분석현시,년령(F=37.068, P<0.001,β=-0.228)、성별(β=-0.187)、수교육수평(F=21.875, P<0.001,β=0.425)、혼인상황(β=0.328)、사회교왕(β=0.124)화단련빈솔(F=21.58, P=0.00,β=0.126)여MMSE득분유통계학관련(P<0.001);다인소분석현시,수교육수평(β=0.421)、년령(β=-0.226)、성별(β=-0.226)、단련빈솔(β=0.128)여MMSE득분유통계학관련(P<0.001)。결론년령、수교육정도、단련빈솔시영향사구노년인인지공능적중요인소,년령시소겁인소,수교육정도、단련빈솔시적겁인소。
Objective To investigate the status of cognitive impairment and its associated factors among the elderly in community in Beijing. Methods 2055 elderly people aged 60 or more from communities in Beijing were investigated and assessed with Mini-Mental State Examination (MMSE). Results 1985 from 2055 met the requirements of the questionnaire. Univariate analysis showed that age (F=37.068, P<0.001), gender (β=-0.187), educational level (F=21.875, P<0.001), marriage (β=0.328), social communication (β=0.124), and frequency of physical exercise (F=21.58, P=0.01,β=0.126) were related to the scores of MMSE (P<0.001). While multivariate analysis showed that ed-ucational level (β=0.421), age (β=-0.226), gender (β=-0.226), and frequency of physical exercise (β=0.128) were possibly the influential factors for the scores of MMSE (P<0.001). Conclusion Age, educational level, and frequency of physical exercise are important factors af-fecting cognitive functions of the elderly, in which age is negative, and the others are positive.