FindAPhD Weekly PhD Newsletter | JOIN NOW FindAPhD Weekly PhD Newsletter | JOIN NOW

Sleep, obesity and cardiometabolic health


   Menzies Institute for Medical Research

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
  Dr Jing Tian  No more applications being accepted  Competition Funded PhD Project (Students Worldwide)

About the Project

Association of sleep, obesity and cardiometabolic health across the life course from childhood

About the research project

Cardiometabolic disease (cardiovascular disease and type 2 diabetes) is the leading cause of mortality worldwide, with premature deaths preventable. Much of the prevention effort is focused on lifestyle modification and management of clinical risk factors in older adults but risk factors emerge as early as childhood, such as sleep-related characteristics including its duration, quality, and timing. Adequate sleep is important for children’s healthy growth, learning and development. Insufficient sleep has been linked to a range of detrimental physical and psychosocial health problems. Over the past century, there have been rapid declines in the sleep duration among children and adolescents, with over half of middle school students and approximately three quarters of high school students did not get recommended amount of sleep.

The association of sleep with cardiometabolic health outcomes has been well established among adults and pooled evidence supported a U-shaped relationship with both short and long duration of sleep were associated with an increased risk of cardiometabolic health. There have been very few longitudinal studies examining the long-term association of sleep, obesity and cardiometabolic health across the life course frame from childhood. The Childhood Determinants of Adult Health (CDAH) study commenced across Australia in 1985 with a representative sample of 8,498 children aged 7-15 years from 109 schools. Using data from repeated measures of lifestyle, physical characteristics and mental health collected since childhood, the study's long-term aim is to determine the contribution of childhood factors to the risk of developing cardiometabolic disease.

Utilising CDAH data, this project aims to address the aforementioned research gap by answering the following questions: 1. How do sleep characteristics vary across different life periods including childhood, young and mid-adulthood? 2. What is the lifecourse association between sleep and obesity? 3. What is the association of sleep from childhood to mid-adulthood with cardiometabolic health (e.g. prediabetes, diabetes, metabolic syndrome, carotid plaque and elasticity, cardiac structure and function) in mid-adulthood?

 

Funding

Applicants will be considered for a Research Training Program (RTP) scholarship or Tasmania Graduate Research Scholarship (TGRS) which, if successful, provides:

  • a living allowance stipend of $28,597 per annum (2021 rate, indexed annually) for 3.5 years
  • a relocation allowance of up to $2,000
  • a tuition fees offset covering the cost of tuition fees for up to four years (domestic applicants only)

If successful, international applicants will receive a University of Tasmania Fees Offset for up to four years.

As part of the application process you may indicate if you do not wish to be considered for scholarship funding.

Eligibility

The project is open to domestic (Australian and New Zealand) and international applicants.

Applicants should review the Higher Degree by Research minimum entry requirements.

Selection Criteria

The project is competitively assessed and awarded.  Selection is based on academic merit and suitability to the project as determined by the College.

Applicants  for this project/scholarship must have a strong background in at least one of the areas below:

  • Experience conducting literature reviews
  • Experience in epidemiological, clinical, or related research
  • Experience in conducting statistical analyses using a statistical package such as Stata, SPSS or R
  • Previous scientific publications in a related field

Application process

After checking and ensuring that you meet the eligibility and selection criteria contact the project supervisor.

Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.

PhD saved successfully
View saved PhDs