Clinical Trial Details
— Status: Completed
Administrative data
| NCT number |
NCT05380232 |
| Other study ID # |
29717 |
| Secondary ID |
|
| Status |
Completed |
| Phase |
|
| First received |
|
| Last updated |
|
| Start date |
March 2006 |
| Est. completion date |
October 30, 2021 |
Study information
| Verified date |
May 2022 |
| Source |
Aarhus University Hospital |
| Contact |
n/a |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Observational
|
Clinical Trial Summary
The primary aim of study is to study the association between leisure-time physical activity
and all-cause mortality among individuals with type 2 diabetes in the UK Biobank cohort and
the China Kadoorie Biobank cohort. Secondary outcomes are CVD-mortality (both cohorts) and
risk of major adverse cardiovascular events (UK Biobank only). Secondary exposures are
physical activity from transportation and occupation.
Description:
AIM To determine dose-response patterns between leisure-time physical activity and all-cause
mortality in individuals with type 2 diabetes in the United Kingdom and China. A secondary
aim is to study the association between domain-specific physical activity and all-cause
mortality and fatal and non-fatal CVD.
Study design and setting The study is a nested cohort study based on the UK Biobank and China
Kadoorie Biobank population-based prospective cohort studies. Both cohorts are designed to
study the interrelations between environment, lifestyle, and genes, with the aims of
improving the prevention, diagnosis, and treatment of chronic diseases. UK Biobank recruited
a total of 502,682 participants (approximately 5.5% of 9.2 million invited) aged 37 to 82
years via 22 assessment centers across England, Wales, and Scotland between 2006 and 2010. At
the assessment centers participants completed a touch-screen questionnaire, an interview with
a nurse, and a wide variety of physical measurements and biological sampling. A subsample has
attended a repeat assessment of all data collected at the baseline examination. Data has been
linked with several electronic registries for ongoing follow-up on health status. Ethical
approval to establish the UK Biobank cohort was obtained by the North-West Research Ethics
Committee and participants gave written informed consent before data collection. China
Kadoorie Biobank recruited 515,420 participants aged 30 to 79 years between 2004 and 2008
from 10 regions of mainland China. At the assessment centers participants completed an
interviewer-administered questionnaire, physical measurements and provided blood spot tests
and non-fasting blood samples. Data has been linked with several electronic registries for
ongoing follow-up on health status. China Kadoorie Biobank was approved by the Ethics
Committees at Oxford University, the China National Center for Disease Control and from
institutional research boards at the local Centers for Disease Control in the 10 included
regions.
Study population The Investigators identified individuals with prevalent type 2 diabetes in
the UK Biobank from the baseline assessment (2006-2010) and the 1st repeat assessment
(2012-2013), and in China Kadoorie Biobank from the baseline assessment (2004-2008).
UK Biobank: Prevalent type 2 diabetes is determined by the algorithm by Eastwood (PMID:
27631769) or from measured Hba1c ≥48 mmol/mol. The algorithm is based on combining
information on self-reported diabetes, insulin use, age of diabetes onset, and ethnicity
obtained from a questionnaire in addition to self-reported diabetes, self-reported use of
medications (see SAP), and age at diabetes diagnosis obtained from an interview with a
trained nurse. Both 'probable' and 'possible' type 2 diabetes from the algorithm are included
as type 2 diabetes cases. Type I diabetes is removed from the sample by combining information
on insulin use, time from diagnosis to initiation of insulin use, and age of diagnosis. These
criteria identify 29,236 individuals with type 2 diabetes.
China Kadoorie Biobank: prevalent type 2 diabetes is based on self-reported current diabetes
with a diagnosis age above 30 years, a random plasma blood glucose ≥11.1 mmol/L, or fasting
plasma blood glucose ≥7.0 mmol/L. These criteria identify 30,300 individuals with type 2
diabetes.
For further detail, please see attached predefined statistical analysis plan (SAP).