ABSTRACT
Objective To explore influencing factors of the elderly's frailty. Methods Eight communities were randomly selected from Dalang Town, Dongguan City, and all the eligible elderly people were investigated using the self-developed frailty index. Univariate analysis was performed using the 2 test, and multivariate analysis was performed by ordinal multi-class Logistic regression. Results Univariate analysis showed that there were significant differences in the distribution of frailty conditions among different demographic characteristics, family relationships, economic situation and lifestyle (all P<0.05). Multivariate analysis showed that younger age (OR=0.13, P<0.001), male (OR=0.65, P=0.012), and daily exercise (OR=0.76, P=0.049) were protective factors for frailty of the elderly. Illiterate (OR=2.42, P<0.001), fewer times to see children per month (OR=1.82, P=0.035), pension funds as the main economic source (OR=1.59, P<0.001), low level of physical activity (OR=2.18, P<0.001) and none social participation (OR=1.41, P=0.004) were risk factors of frailty. Conclusion Age, gender, education level, times to see children per month, economic source, exercise frequency, physical activity level and social participation are the influencing factors of frailty of the elderly.
ABSTRACT
Objective To analyze the service mode of electric manned climbing machine,to develop services of high-price electric assis-tive device(AD).Methods March to April,2013,and December,2014 to January,2015,33 stakeholders were interviewed about the service policy,utilization,the history of service modes and service elements of electric manned climbing machine 2012 to 2014.5W2H method was used to analyze the modes of service in term of resource,management,service,assurance,to study their pros and cons.Results There were three modes of service in climbing machine:subsidy adaptation,volunteer service from community and government purchasing service.The basic service included receiving demand,audit,service and evaluation,that is being adjusted to improve the service capabilities.Conclusion No service mode is the most optimal,but feasible.