Jiao Lu

Prof. Jiao Lu


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2020 in Archives of Gerontology and Geriatrics
Verified
Journal Article
Closed access
JLJiao Lu
Jiao Lu
NZNa Zhang
Na Zhang
DMDanhui Mao
Danhui Mao
YWYuan Wang
Yuan Wang
XWXiaoli Wang
Xiaoli Wang

19 June 2021 in BMC Geriatrics
Verified
Journal Article
Open access
PDF file
JLJiao Lu
Jiao Lu
YWYuan Wang
Yuan Wang
LHLihong Hou
Lihong Hou
ZZZhenxing Zuo
Zhenxing Zuo
NZNa Zhang
Na Zhang
AWAnle Wei
Anle Wei
Background: Influenced by various factors such as socio-demographic characteristics, behavioral lifestyles and socio-cultural environment, the multimorbidity patterns in old adults remain complex. This study aims to identify their characteristics and associated multi-layered factors based on health ecological model. Methods: In 2019, we surveyed a total of 7480 participants aged 60+ by using a multi-stage random cluster sampling method in Shanxi province, China. Latent class analysis was used to discriminate the multimorbidity patterns in old adults, and hierarchical regression was performed to determine the multi-layered factors associated with their various multimorbidity patterns. Results: The prevalence of multimorbidity was 34.70% among the old patients with chronic disease. Over half (60.59%) of the patients with multimorbidity had two co-existing chronic diseases. “Degenerative/digestive diseases”, “metabolic diseases” and “cardiovascular diseases” were three specific multimorbidity patterns. Behavioral lifestyles-layered factors had the most explanatory power for the three patterns, whose proportions of explanatory power were 54.00, 43.90 and 48.15% individually. But the contributions of other multi-layered factors were different in different patterns; balanced diet, medication adherence, the size of family and friendship network, and different types of basic medical insurance might have the opposite effect on the three multimorbidity patterns (p < 0.05). Conclusions: In management of old patients with multimorbidity, we should prioritize both the “lifestyle change”-centered systematic management strategy and group-customized intervention programs.

25 May 2018 in Health and Quality of Life Outcomes
Verified
Journal Article
Open access
PDF file
CZChichen Zhang
Chichen Zhang
瑞朱瑞芳 朱
瑞芳 朱
JLJiao Lu
Jiao Lu
YXYaqing Xue
Yaqing Xue
LHLihong Hou
Lihong Hou
JZJianzhong Zheng
Jianzhong Zheng
In China, the problems of population aging and empty nesting have become important issues which will affect the social stability and economic development. The aim of this study was to explore the health promoting lifestyles and influencing factors among empty nesters and compare with non-empty nesters to find out their differences, so as to provide a scientific evidence for people to formulate health management strategies for elderly. A cross-sectional survey which used a stratified random cluster sampling method, was conducted among 500 elders in six districts of Taiyuan, China, there were 288 empty nesters and 212 non-empty nesters. The general information and health- promoting lifestyles were investigated by using the self-made General Information Questionnaire and Health Promoting Lifestyle Scale(HPLP). Two-sample t-test and Chi-square test were used to compare the sociodemographic factors, HPLP scores of empty nesters to non-empty nesters; Multiple stepwise linear regression was performed to estimate influencing factors related to the HPLP of empty nesters and non-empty nesters. The current findings showed that there were differences between the empty nesters and non-empty nesters in gender, resident, marital status, education and income, self-care ability, source of income, relationship with spouse and social activities (P < 0.05). Empty nesters were mostly male, married, had a higher education level, self-care ability and income and lived in urban compared with non-empty nesters. The health promoting lifestyles of the elderly in this survey were in the medium level, the highest score for all dimensions in both groups was in nutrition, whereas health responsibility was executed worst. The HPLP and six subscales scores of the empty nesters were higher than non-empty nesters, there were significant differences in total score of HPLP, self-realization and health responsibility (P < 0.01). Multiple regression analysis showed that the main predictive factors for the empty nesters were education, self-care ability and resident, whereas the main predictive factors for the non-empty nesters were parents-child relationship, source of income and age; social activity was the common factor for two group. The health promoting lifestyles of the empty nesters was better than that of the non-empty nesters. Health responsibility, interpersonal relations and stress management were key dimensions to be improved. Except social activity, education, self-care ability and resident were the unique influencing factors of health-promoting lifestyles for empty nesters, while the parents-child relationship, income and age were unique factors for non-empty nesters. The main target of Intervention strategy for elderly health promoting lifestyles should be the enhance of health responsibility, interpersonal relations and stress management by improving social activities, parent-child relationship, education and income of elderly.

1 September 2019 in Journal of Affective Disorders
Verified
Journal Article
Closed access
JLJiao Lu
Jiao Lu
CZChichen Zhang
Chichen Zhang
YXYaqing Xue
Yaqing Xue
DMDanhui Mao
Danhui Mao
XZXiao Zheng
Xiao Zheng
XWXiaoli Wang
Xiaoli Wang

26 December 2020 in The Journal of nutrition, health and aging
Verified
Journal Article
Open access
PDF file
JLJiao Lu
Jiao Lu
QGQ. Q. Guo
Q. Q. Guo
YWY. Wang
Y. Wang
ZZZ. X. Zuo
Z. X. Zuo
YLY. Y. Li
Y. Y. Li
Objectives This study aimed to explore the evolutionary stage of the elderly from the normal to the cognitive frailty, and to identify the important factors which influenced the changes of the cognitive frailty stage from the «physiological-psychological-social» perspective. Design A cross-sectional study. Setting and Participants A random cluster sampling was used to recruit 4,010 old adults living in community from Shanxi province in China. Measurements Data were collected by face-to-face questionnaire survey. Multinomial logistic regression was used to screen the factors contributing to the 6 population groups with various cognitive functions and frailty status. Principal component analysis was used to redefine the evolutionary stages of cognitive frailty, while the orthogonal partial least squares discrimination analysis and binary logistic regression were used to identify the important factors and distinguish different stages and influence directions. Results The factors contributing to the population with various cognitive functions and frailty status were involved in all aspects of «physical-psychological-social». Apart from normal group, other 5 groups were clustered into «stage of frailty change» and « stage of cognitive frailty change». Aging, early onset of chronic diseases, high pain intensity, and poor nutritional status might deteriorate the individual’s evolution from “normal stage” to “stage of frailty change” while the increasing social activity might promote the individual’s health. Simultaneously, early onset of chronic diseases, high pain intensity and poor nutritional status also played important roles in the evolution of individual from “stage of frailty change” to “stage of cognitive frailty change”. Conclusion The formation of cognitive frailty might experience the «normal-frailty-cognitive frailty» stages change, and both the prevention and intervention of frailty might delay the occurrence of cognitive frailty. Therefore, the strategies for both prevention and intervention among old adults should be throughout centered on the parts of preventing the premature onset of chronic diseases, carrying out stage-tailored nutrition intervention, and establishing standardized pain management, especially the part of increasing the social activities among older adults.

18 July 2024 in Health Economics Review
Verified
Journal Article
Open access
PDF file
YGYang Gao
Yang Gao
YYYang Yang
Yang Yang
SWShoupeng Wang
Shoupeng Wang
WZWenqian Zhang
Wenqian Zhang
JLJiao Lu
Jiao Lu
Background and objective: Developing harmonious doctor-patient relationships is a powerful way to promote the construction of a new pattern of medical reform in developing countries. We aim to analyze the effects of China’s hierarchical medical system on doctor-patient relationships, thus contributing to China’s medical and health system reform. Methods: With panel data on prefectural-level cities in China from 2012 to 2019, we used a time-varying difference-in-differences model to evaluate the effect of hierarchical medical treatment policy. Results: Hierarchical medical treatment policies can significantly improve doctor-patient relationships, and this conclusion is supported by various robustness tests. And improving doctor-patient relationships can be indirectly realized by the optimization of resource allocation and saving of medical costs. In addition, the marginal effect of the pilot policy on doctor-patient relationships decreased with age within the city population. In focal cities and cities with high levels of fiscal spending on health care, the effect of the pilot policy on doctor-patient relationships was stronger. Conclusion: While reinforcing the literature on the doctor-patient relationship, this study also provides a reference for further exploration of the pilot policy of hierarchical medical treatment and the development of new medical and health system reform in developing countries.