Understanding patterns of chronic conditions across the life course in India

About this project

Project description

Chronic conditions – such as cardiovascular disease, cancers, and respiratory conditions – are now the leading causes of mortality and morbidity among women in high income countries.  However, limited evidence exists on the patterns of chronic conditions and factors associated with these patterns across the life course in India.
Substantial differences exist between women and men in the prevalence and progression of many NCDs. For women many of the established risk factors for NCDs, including obesity, are shared with poor reproductive outcomes. Emerging evidence also points to the impact of reproductive factors, such as pregnancy complications, on NCD risks. However, limited evidence exists on the patterns of chronic conditions and factors associated these patterns across the life course in India.
The aim of this project is to explore factors associated with NCDs across adult life in India by gender.  Research questions include:
  1. What are the top 10 common chronic conditions across each life stage? By age group, sex, and States?
  2. What are most common combinations of chronic conditions by age group and sex?
  3. What female specific characteristics are available in the database, e.g. information on pregnancy complications (gestational diabetes, hypertensive disorders, endometrioses, fibroids, hysterectomy, menopause), and how do these relate to key chronic conditions, such as CVD events and diabetes.
Methods
Data from the National Family and Health Surveys (4, 5) and those available at MaxHealth Care will be used to identify the common chronic diseases across adulthood. Statistical methods, such as multivariable regression and multilevel mixed models, will be used to examine the social, behavioural, and biological factors associated with these conditions.

Outcomes

strong analytical skills (statistics, econometrics)

Information for applicants

Essential capabilities

strong analytical skills (statistics, econometrics)

Desireable capabilities

Interest in health, women’s health

Expected qualifications (Course/Degrees etc.)

Courses: Advanced Statistics, health sciences, biology

Additional information for applicants

note: i-students must have own scholarship to apply (CSIR, UCG-NET, etc)

Project supervisors

Principal supervisors

UQ Supervisor

Professor Gita Mishra

School of Public Health
IITD Supervisor

Assistant professor Sisir Debnath

Department of Humanities and Social Science
Additional Supervisor

Dr Sourabh Paul

Department of Humanities and Social Science