Objective:To identify the development trajectories of self-neglect behavior in older adults and explore the associated influencing factors.Methods:A fixed cohort was constructed based on the data from three surveys of Chinese longitudinal healthy longevity survey (CLHLS) from 2011 to 2018. A total of eight variables from 4 dimensions including living environment, lifestyle, social interaction, and health care were selected to evaluate self-neglect. Group-based trajectory model was used to identify the development trajectory of self-neglect behavior in the older adults, and polynomial Logistic regression model was used to explore its influencing factors by Stata 16.1.Results:Finally, 2 754 older adults aged 60 and above were included.The development trajectory of self-neglect behavior in older adults, based on the group-based trajectory model, can be classified into stable-low group ( n=268, 9.7%), descending-moderate group ( n=2 224, 80.8%), and decreasing-high group ( n=262, 9.5%). Polynomial Logistic regression showed that, compared with stable-low group, living in rural areas ( B=1.116, OR=3.053, 95% CI= 2.278-4.091) and higher activities of daily living scores( B=0.137, OR=1.147, 95% CI=1.046-1.258) were the risk factors of descending-moderate group. Education levels with 1-6 years( B=-0.398, OR=0.672, 95% CI=0.469-0.963), >6 years( B=-1.072, OR=0.342, 95% CI=0.229-0.513), being married( B=-0.476, OR=0.621, 95% CI=0.444-0.870), self-reported good health( B=-0.808, OR=0.446, 95% CI= 0.213-0.932), improved health status( B=-0.704, OR=0.495, 95% CI=0.320-0.766), self-reported average economic status( B=-1.065, OR=0.345, 95% CI=0.148-0.802), self-reported good economic status( B=-1.634, OR=0.195, 95% CI=0.082-0.467), and a higher cognition score( B=-0.142, OR=0.867, 95% CI=0.798-0.942) served as protective factors of descending-moderate group. In addition to the above factors, being in the age group of 75-89 years( B=0.481, OR=1.617, 95% CI=1.057-2.473) was a risk factor for decreasing-high group compared to stable-low group. Conclusions:Three types of self-neglect behavior trajectories among older adults were identified in this study, suggesting that physical health and economy are the influencing factors of the development trajectory of self-neglect of the elderly.

A protective device was designed that can be worn on the elderly, which consists of protective airbag, control box and protective mechanism. The combined acceleration, combined angular velocity and human posture angle are selected as the parameters to determine the fall, and the threshold algorithm and SVM algorithm are used to detect the fall. The protective mechanism is an inflatable device based on CO₂ compressed air cylinder, and the equal-width cam structure is applied to its transmission part to improve the puncture efficiency of the compressed gas cylinder. A fall experiment was designed to obtain the combined acceleration and angular velocity eigenvalues of fall actions (forward fall, backward fall and lateral fall) and daily activities (sitting-standing, walking, jogging and walking up and down stairs), showing that the specificity and sensitivity of the protection module reached 92.1% and 84.4% respectively, which verified the feasibility of the fall protection device.
Humans ; Aged ; Monitoring, Ambulatory ; Activities of Daily Living ; Wearable Electronic Devices ; Walking ; Acceleration ; Algorithms