Associate professor

ResearchGate profile https://www.researchgate.net/profile/Jing-Liao-10
ORCID: 0000-0001-6370-3430
Relevant research work:
Dr. Jing Liao’s research is mainly on healthy ageing, exploring the dynamic interactions between social network, health-related behaviors with physical, cognitive and social functions. Longitudinal modelling based on global ageing cohorts is used to identify key socio-determinants of healthy ageing, with potential treatment effects verified by community-based randomized controlled trials.

Academic qualifications:
•    Ph.D., Social Epidemiology and Population Health, University College London, 2012-2015
•    MSc (Distinction), Social Epidemiology and Population Health, University College London, 2011-2012
•    Bachelor of Medicine, Public Health and Preventative Medicine, Sun Yat-sen University, 2006-2011

Previous academic positions held:
•    Associate research professor, SYSU Global Health Institute (SGHI), Sun Yat-sen University, 2015-2018
•    Policy Advisor, the National Centre of University and Business (NCUB), 2015
•    Teaching Assistant, Social Epidemiology and Basic Statistics, University College London, 2012-2015
•    Research Assistant, Whitehall Research Group, Department of Epidemiology, University College London, 2013
•    Research Assistant, Nuffield College, Oxford University, 2012

Key research grants
1.    2020/08-2023/07, UK-China Health and Social Challenges Ageing Project: present and future burden of dementia, and policy responses (PI, 2,500,000 RMB, by National Natural Science Foundation of China)
2.    2021/10-2021/12, Supporting community-dwelling older adults and their families in times of pandemics: strengthening triadic relationships of elderly patients, families and health professionals by science and technology (PI, 20,000 RMB, by National Natural Science Foundation of China)
3.    2019/01-2021/12, Development and Validation of Couple Collaborative Management Model of Chronic Disease for Community-Dwelling Older Adults (PI, 195,000 RMB, by National Natural Science Foundation of China)
4.    2022/10-2026/09, Study on community screening system for colorectal adenoma (Subproject leader, 2,000,000 RMB, by Natural Science Foundation of Guangdong Province, Guangdong, Hong Kong and Macao Research Team Project)
5.    2023/02-2025/04, Enhancing population health metrics in ageing research: a collaborative network between the UK and China (PI, 100,000 RMB, by Royal Society, the international Exchanges 2022 Round 2 scheme)
6.    2019/01-2021/12, Evaluating Quality of Primary Health Care with Smartphone-Based Virtual Patients: A Multicenter Development &Validation Study in Seven Provinces of China (PI, 560,000 RMB, by CMB)
7.    2018/05-2021/04, Development and Validation of Healthy Lifestyle Based Prediction Model (PI, 50,000 RMB, by Natural Science Foundation of Guangdong Province)
8.    2017/05-2020/05, Effectiveness of m-Health in promoting healthy ageing among middle and old- aged adults practicing square dance: a cluster randomized controlled trial (PI, 100,000 RMB, by Natural Science Foundation of Guangdong Province)
9.    2022/04-2024/03, Research on effective path of timely screening and early intervention for geriatric cognitive impairment based on implementation research framework (PI, 100,000 RMB, by Science and Technology Projects in Guangzhou)
10.    2019/03-2022/02, Implementation and Evaluation of Smartphone-based Virtual Patients as an Innovative Training Approach among Primary Healthcare Workers in Rural (PI, 100,000 RMB, by CMB)

Publication records 
1.    Liu, Y., Wu, Y., Chen, Y., Lobanov-Rostovsky, S., Liu, Y., Zeng, M., Bandosz, P., Xu, D.R., Wang, X., Liu, Y., Hao, Y., French, E., Brunner, E.J. and Liao, J.*, 2024. Projection for dementia burden in China to 2050: a macro-simulation study by scenarios of dementia incidence trends. The Lancet Regional Health–Western Pacific, 50.
2.    Liu, Y., Gao, X., Zhang, Y., Zeng, M., Liu, Y., Wu, Y., Hu, W., Lai, Y. and Liao, J.*, 2024. Geographical variation in dementia prevalence across China: a geospatial analysis. The Lancet Regional Health–Western Pacific, 47.
3.    Lai, Y.S., Gao, X.Y., Hu, W.H., Liu, Y.X., Zhang, Y.J., Liu, J.C., Yang, C. and Liao, J.*, 2024. Validity of the Chinese multimorbidity-weighted index in measuring disease burden using health check-ups data in primary care. BMC Public Health, 24(1), p.1999.
4.    Wu, Y., Liu, Y., Liu, Y., Chen, Y., Lobanov-Rostovsky, S., Zhang, Y., Liu, Y., Brunner, E.J., French, E. and Liao, J.*, Projections of Socioeconomic Costs for Individuals with Dementia in China 2020–2050: Modeling Study. Journal of Alzheimer's Disease, pp.1-11.
5.    Zheng, H., Fan, X., Liu, Y., Wu, Y., Liu, Y., Xu, Y., Zhi, J., Yang, C. and Liao, J.*, 2024. How dyadic appraisal moderate the association between dyadic coping and diabetes management efficacy. Journal of Health Psychology, p.13591053241240735.
6.    Wu, M., Yang, C., Umeda, M., Liao, J*. and Mawditt, C., 2023. Longitudinal patterns and sociodemographic profiles of health-related behaviour clustering among middle-aged and older adults in China and Japan. Ageing & Society, pp.1-20. 
7.    Zhang, J., Yang, C., Liu, Y., Wu, D., Liu, L., Zheng, H., Xu, D. and Liao, J.*, 2023. Conditions for successful implementation of couple-based collaborative management model of diabetes among community-dwelling older Chinese: a qualitative comparative analysis. BMC geriatrics, 23(1), p.832.
8.    Gong, N., Yang, D., Zou, J., He, Q., Hu, L., Chen, W. and Liao, J.*, 2023. Exploring barriers to dementia screening and management services by general practitioners in China: a qualitative study using the COM-B model. BMC geriatrics, 23(1), p.55.
9.    Scholes, S. and Liao, J.*, 2023. Social support, social strain and declines in verbal memory: sex-specific associations based on 16-year follow-up of the English Longitudinal Study of Ageing cohort. Aging & Mental Health, 27(4), pp.780-788.
10.    Tu, J., Li, H., Ye, B. and Liao, J.*, 2022. The trajectory of family caregiving for older adults with dementia: difficulties and challenges. Age and ageing, 51(12), p.afac254.
11.    Hu, W.H., Liu, Y.Y., Yang, C.H., Zhou, T., Yang, C., Lai, Y.S., Liao, J*. and Hao, Y.T., 2022. Developing and validating a Chinese multimorbidity-weighted index for middle-aged and older community-dwelling individuals. Age and Ageing, 51(2), p.afab274.
12.    Liu, Y., Wu, Y., Cai, J., Huang, Y., Chen, Y., Venkatraman, T.M., Lobanov‐Rostovsky, S., Bandosz, P., Yang, Y.J., Wu, Y.T. and Liao, J.*, 2022. Is there a common latent cognitive construct for dementia estimation across two Chinese cohorts? Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 14(1), p.e12356.
13.    Zeng, M., Cai, Y., Cao, J., He, Q., Wang, X., Lu, Y., Liang, H., Xu, D. and Liao, J.*, 2022. The agreement between virtual patient and unannounced standardized patient assessments in evaluating primary health care quality: multicenter, cross-sectional pilot study in 7 provinces of China. Journal of Medical Internet Research, 24(12), p.e40082.
14.    Liao, J., Scholes, S., Mawditt, C., Mejía, S.T. and Lu, W., 2022. Comparing relationships between health-related behaviour clustering and episodic memory trajectories in the United States of America and England: a longitudinal study. BMC public health, 22(1), p.1367. 
15.    Yang, C., Xu, Y., Zhi, J., Zheng, H., Sun, Z., Wu, X. and Liao, J.*, 2022, November. Gender-Specific Effect of Couple-Based Intervention on Behavioral and Psychological Outcomes of Older Adults with Type 2 Diabetes during the COVID-19 Partial Lockdown in Guangzhou, China. In Healthcare (Vol. 10, No. 11, p. 2290). MDPI.
16.    Wang, C., Wu, M., Yang, Y.J. and Liao, J.*, 2022. Effect and quality of couple-based interventions of middle-aged and older adults with type 2 diabetes mellitus: a scoping review. Family Practice, 39(1), pp.183-189.
17.    Cai, H., Zheng, H., Li, J., Hao, C., Gu, J., Liao, J.* and Hao, Y., 2022. Implementation and evaluation of crowdsourcing in global health education. Global Health Research and Policy, 7(1), p.50.
18.    Tu, J., Liu, Y., Wu, X., Xu, D. and Liao, J.*, 2021. Dyadic appraisal and coping with illness among older Chinese adults with type 2 diabetes mellitus: a qualitative study. Age and ageing, 50(3), pp.928-935. 
19.    Liao, J., Zhang, J., Xie, J. and Gu, J., 2021. Gender specificity of spousal concordance in the development of chronic disease among middle-aged and older Chinese couples: A prospective dyadic analysis. International Journal of Environmental Research and Public Health, 18(6), p.2886.
20.    Wu, Y., Liu, Y., Cao, X., Ying, Z., Park, J., Feng, Q., Umeda, M., Liu, Z. and Liao, J.*, 2021. Burden of caregivers who care for oldest-old parents with disability: a cross-sectional study. Geriatric Nursing, 42(4), pp.792-798.
21.    Tu, J. and Liao, J.*, 2021. Primary care providers’ perceptions and experiences of family-centered care for older adults: a qualitative study of community-based diabetes management in China. BMC geriatrics, 21, pp.1-10.
22.    Liu, Y., Xiao, X., Peng, C., Zhao, T., Wu, Y., Yu, W., Ou, L., Chen, X., Wu, X., Xu, D.R. and Liao, J.*, 2021. Development and implementation of couple-based collaborative management model of type 2 diabetes mellitus for community-dwelling Chinese older adults: a pilot randomized trial. Frontiers in Public Health, 9, p.686282.
23.    Gong, N., Jin, X., Liao, J.*, Li, Y., Zhang, M., Cheng, Y. and Xu, D., 2021. Authorized, clear and timely communication of risk to guide public perception and action: lessons of COVID-19 from China. BMC Public Health, 21, pp.1-8.
24.    Liao J, Xiao HY, Li XQ, Sun SH, Liu SX, Yang YJ, Xu DR. A Social Group-Based Information-Motivation-Behavior Skill Intervention to Promote Acceptability and Adoption of Wearable Activity Trackers Among Middle-Aged and Older Adults: Cluster Randomized Controlled Trial. JMIR Mhealth Uhealth. 2020 Apr 9;8(4):e14969. 
25.    Xie, J., Liao, J., Zhang, J. and Gu, J., 2020. Association between rural-to-urban migration and the cognitive aging trajectories of older Chinese adults: results from a prospective cohort analysis. BMC geriatrics, 20, pp.1-11.
26.    Liao, J., Yang, Y.J. and Xu, D.R., 2020. Multiyear Square dancing is associated with superior mental processing capacity but not memory in middle-aged and older Chinese women: a cross-sectional propensity score matching analysis. Journal of Physical Activity and Health, 17(7), pp.736-743.
27.    Liao, J., Wu, X., Wang, C., Xiao, X., Cai, Y., Wu, M., Liu, Y., Chen, X., Wu, S., Yang, Y.J. and Xu, D., 2020. Couple-based collaborative management model of type 2 diabetes mellitus for community-dwelling older adults in China: protocol for a hybrid type 1 randomized controlled trial. BMC geriatrics, 20, pp.1-11.
28.    Liao, J., Mawditt, C., Scholes, S., Lu, W., Umeda, M., Muniz Terrera, G., Hao, Y. and Mejía, S., 2019. Similarities and differences in health‐related behavior clustering among older adults in eastern and western countries: A latent class analysis of global aging cohorts. Geriatrics & gerontology international, 19(9), pp.930-937.
29.    Liao, J.*, Chen, S., Chen, S. and Yang, Y.J., 2019. Personal and social environmental correlates of square dancing habits in Chinese middle-aged and older adults living in communities. Journal of aging and physical activity, 27(5), pp.696-702.
30.    Liao J, Cheng F, Harris A, Xu D: The new face of China’s foreign aid: How we go from here? The Lancet 2018; 392 (10148):636.
31.    Liao, J.*, Muniz-Terrera, G., Head, J. and Brunner, E.J., 2018. Dynamic longitudinal associations between social support and cognitive function: A prospective investigation of the directionality of associations. The Journals of Gerontology: Series B, 73(7), pp.1233-1243.
32.    Liao, J., Chen, Y., Cai, Y., Zhan, N., Sylvia, S., Hanson, K., Wang, H., Wasserheit, J.N., Gong, W., Zhou, Z. and Pan, J., 2018. Using smartphone-based virtual patients to assess the quality of primary healthcare in rural China: protocol for a prospective multicentre study. BMJ open, 8(7), p.e020943.
33.    Liao, J., Muniz-Terrera, G., Scholes, S., Hao, Y. and Chen, Y.M., 2018. Lifestyle index for mortality prediction using multiple ageing cohorts in the USA, UK and Europe. Scientific reports, 8(1), p.6644.
34.    Liao, J.* and Scholes, S., 2017. Association of social support and cognitive aging modified by sex and relationship type: A prospective investigation in the English longitudinal study of ageing. American journal of epidemiology, 186(7), pp.787-795.
35.    Liao, J.*, McMunn, A., Mejía, S.T. and Brunner, E.J., 2018. Gendered trajectories of support from close relationships from middle to late life. Ageing & Society, 38(4), pp.746-765.
36.    Liao, J.* and Brunner, E.J., 2016. Structural and functional measures of social relationships and quality of life among older adults: does chronic disease status matter?. Quality of Life Research, 25, pp.153-164.
37.    Liao, J.*, Head, J., Kumari, M., Stansfeld, S., Kivimaki, M., Singh-Manoux, A. and Brunner, E.J., 2014. Negative aspects of close relationships as risk factors for cognitive aging. American journal of epidemiology, 180(11), pp.1118-1125.
38.    Liao, J.*, Brunner, E.J. and Kumari, M., 2013. Is there an association between work stress and diurnal cortisol patterns? Findings from the Whitehall II study. PloS one, 8(12), p.e81020.