社区老年人群久坐行为与认知功能关联的横断面研究OA

Objective:To explore the association between sedentary behavior(SB)contexts,characteristics,and cognitive function in older adults.Methods:A face-to-face survey was conducted among 1,485 elderly individuals aged 60-80 years undergoing health check-ups at the Xinchang Community Health Service Center in Pudong New Area,Shanghai.The survey included an SB questionnaire(covering 9 common SB contexts and 2 SB characteristics),MemTrax assessment(measuring the percentage of correct responses[MTx-%C],mean response time[MTx-RT],and a composite index[MTx-Cp,where MTx-Cp=MTx-%C/MTx-RT×100]),and health examination data.Linear regression analysis was used to examine the association between SB and cognitive function.Stratified analysis was used to explore whether the impact of sedentary behavior(SB)on cognitive function differed by sex.Results:A total of 1,441 participants were included,of whom 630(43.72%)were male,454(31.51%)had primary school education,and 673(46.70%)had junior high school education.The average daily sedentary time was(6.59±2.78)hours.The primary SB context was screen time(2.97±1.55 hours).Participation rates in hobbies(21.10%),reading(5.20%),and listening to the radio(6.94%)were low.Cognitive function was positively correlated with screen time,meals(male),transportation,and hobbies(female)(all P<0.05),negatively correlated with"thinking/idleness"(male)and socializing(all P<0.05),but showed no significant association with reading or listening to the radio.The frequency of SB bouts was positively correlated with MTx-%C,but the longest continuous sedentary time had no significant effect.Conclusions:The sedentary time among older adults in Shanghai is higher than the national average,with screen time being the predominant SB context.The effects of different sedentary behavior contexts on cognitive function varied and demonstrated significant sex-specific patterns.Consequently,the future public health strategies should not be limited to advocating for"reducing sedentary time,"but should also promote a paradigm shift toward"optimizing sedentary behavior."Furthermore,the influence of sex differences should be fully considered in the design of intervention measures.