Non-communicable diseases in global health

South East Asia, and Hong Kong specifically, provides a contextually specific setting from which to gain a better understanding of non-communicable chronic diseases in global health. Disease patterns in Hong Kong challenge received wisdom about traditional cardiovascular and diabetes disease risk factors. Hong Kong is a sentinel for other South East Asian populations currently experiencing rapid economic development and globalisation. Our research programme has nine foci:

a. Advanced epidemiology and statistical research methods:

  • Applied to four active cohorts spanning the life course to confirm or refute empirically driven hypotheses in a unique setting.
  • Emphasising innovative theoretical methods and models for population health (Mendelian randomisation, instrumental variable analysis, mathematical modelling of health services utilisation, neural networks, partial least squares, latent growth modelling and clinical decision analysis).

b. Causes of and interventions for non-communicable diseases prevention and treatment:

  • Childhood experiences, growth patterns, body composition.
  • Family dynamics, and lifestyle choices.
  • Air pollution and climate change.
  • The microbiome.
  • Social disparities.
  • Smoking, alcohol and nutrition.

c. Evaluation of population level screening policies:

  • Cost effectiveness of cancer screening programmes.
  • Cost effectiveness of vaccine programmes.

d. Incidence, prevalence and identification of risk factors for non-communicable diseases:

  • The role of hormones.
  • Population risk perception.
  • Health behaviours.
  • Socio-economic patterning of non-communicable diseases in South East Asian populations.
  • Drivers of long-term trends.

e. Non-communicable disease impact on local and regional health service utilisation and health policy:

  • Economic costs of service provision.
  • Role of manpower planning and inter-professional work in service delivery models.
  • Financial models for healthcare service delivery and their impact on health in Hong Kong and in China.
  • Political-economic, social and personal factors.

f. Physical activity and health:

  • Exercise physiology including respiratory control.
    • Performance assessment and measurement.
    • Physical activity and exercise in special populations.
  • Sport, exercise and health psychology.
  • Physiological response to exercise and inactivity.

g. Skill learning and expert performance:

  • Motor learning and performance.
    • Perception and performance in expert and novice populations.
  • Movement rehabilitation.

h. Psycho-oncology:

  • The contribution of cognitive bias to psychological distress in clinical population.
  • Cancer survivorship and fear of cancer recurrence.
  • Doctor-patient communication and decision-making.
  • Symptom burden and its impact of cancer rehabilitation.

i. Bioinformatics and cancer biostatistics:

  • Big data analytics.
  • Biomarker discovery.
  • Machine learning.
  • Public health genetics and genomics.

Researchers

Professor Leung, Gabriel Matthew

(health policy, lifestyle and life course epidemiology)

Professor Lam, Tai Hing

(lifestyle and life course epidemiology and tobacco control)

Professor Fielding, Richard

(behavioural health and psycho-oncology)

Dr Chan, King Chung Derwin

(health, sport and exercise psychology) 

Dr Fong, Siu Ming Shirley

(exercise and health in special populations) 

Dr Ho, Sai Yin Daniel

(adolescent health)

Dr Johnston, Janice Mary

(health services research)

Dr Lam, Wing Tak Wendy

(behavioural health and psycho-oncology)

Dr Leung, Yue Yan June

(lifestyle and lifecourse epidemiology)

Dr Macfarlane, Duncan James

(exercise physiology and measurement)
Dr Ni, Yuxuan Michael

(lifestyle and lifecourse epidemiology and psychiatric epidemiology)

Dr Pang, Hei Man Herbert

(bioinformatics and cancer biostatistics)

Dr Schooling, Catherine Mary

(lifestyle and lifecourse epidemiology)

Dr Tian, Linwei

(environmental epidemiology)

Dr Wong, Wai Lung Thomson

(motor learning in special populations) 

 

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