- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04256720
The Multi-Ethnic Lifestyle Study (MELS)
The Clustering of Lifestyle Behaviours in a Multi-ethnic Population: A Questionnaire Study
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
It is well reported that lifestyle behaviours can play a significant role in health, contributing towards chronic disease and mortality. The World Health Organisation (WHO) describes behavioural risk factors as 'the epidemic of the 21st Century', defining a strategic objective to not only promote health and development, but to prevent and reduce health conditions associated with behavioural risk factors such as smoking, alcohol consumption, unhealthy diets and poor physical activity (1).
In England, reports by the Department of Health (DoH) have identified significant concerns in national attitudes towards health stating that 60% of the adult population hold a negative or fatalistic attitude towards their own health, and that these attitudes are particularly prominent in disadvantaged groups (2). This has been corroborated in recent statistics published this year by Public Health England (PHE) comparing the health status in local authorities with that of the wider population, reporting that in the total for England, 15.5% of the population are active smokers, 35.1% are not physically active (a figure likely to be much higher with the use of objective measures), and 64.8% demonstrate excessive body weight.
When comparing Leicester (reported as one of the 20% most deprived districts in the UK) with this national average, smoking and weight statistics are seen as on par with the wider population benchmark, with significantly lower levels of physical activity (50%), significantly higher rates of reported diabetes (8.9%), and significantly lower life expectancy in both men and women (77.1 and 81.6 years) (3). Leicester is an ethnically diverse city, with a high population of South Asians, who have been shown to be substantially less physically active compared to the national average (4-6), which may contribute to the statistics seen in the city's public health profile. When looking at the same health report for Leicestershire county, reported as one of the 20% least deprived counties in England, the statistics demonstrate that the health of people is proportionally better than that of the wider population average, with only recorded diabetes shown as below the England average, and all other factors reported as either the same or significantly better in comparison, highlighting the potential impact of socioeconomic disparity in health outcomes (7).
An important lifestyle behaviour that is can often be discounted when considering health statistics is sleep and chronotype. Insufficient sleep has been shown to have significant impacts on physical health with multiple large meta-analyses demonstrating associations with obesity and cardiometabolic disease (8-11). These findings have been corroborated by large UK surveys demonstrating that inadequate sleep is associated with increased BMI and poor metabolic profiles (12), as well as increased cardiovascular disease and type 2 diabetes (13). A longitudinal study in the UK also demonstrated links between insufficient sleep with psychological health problems including depression, anxiety and increased experiences of pain (14). An individual's chronotype, understood as a behavioural trait determined by their circadian rhythm to be either morning- or evening orientated, has shown a number of associated health implications. Research has shown that being a "night owl", as opposed to an "early bird", increases the likelihood of a number of physical and psychological health concerns including mood and anxiety disorders, personality disorders, substance misuse, insomnia, sleep apnoea, arterial hypertension, bronchial asthma, type 2 diabetes, and infertility, with an overall lower mortality (15).
While there has been extensive data on the impact of single lifestyle behaviours on disease related outcomes and mortality, the evidence on combined effects of lifestyle behaviours has not received the same attention, although the available data is compelling. In a systematic review and meta-analysis exploring lifestyle factors related to all-cause mortality comprising of 531,804 participants spanning 13.24 years, it was shown that the relative risk was proportionally reduced by 66% with at least four or more healthy lifestyle behaviours (16). In a large UK study exploring the impact of combined health behaviours on mortality, it was shown that smoking status, dietary intake, alcohol consumption and physical activity, when combined, increased risk of mortality four-fold, with demonstrable trends seen as strongest in cardiovascular causes (17).
The tendency for behaviours to cumulatively increase or decrease risk has important implications for health promotion and prevention strategies with further exploration needed to understand and define these. It is also important to examine these factors within a multiethnic population, so as to be able to ensure that any data collected is reflective of the diversity in society and that any conclusions made have validity to appropriate inform health reform, as per the DoH's Research Governance Framework for Health and Social Care (18). The current study aims to explore the clustering of lifestyle behaviours in a multi-ethnic population within Leicester City and Leicestershire County, in both primary and secondary care settings, to understand how lifestyle behaviours present, cumulate, impact upon, and associate with other behaviours and socio-demographic factors in both a healthy population and those with long-term conditions (LTCs).
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Sarah Clarke
- Phone Number: 0116 258 8633
- Email: Sarah.L.Clarke@uhl-tr.nhs.uk
Study Contact Backup
- Name: Lois Daniels
- Phone Number: 0116 258 8070
- Email: Lois.J.Daniels@uhl-tr.nhs.uk
Study Locations
-
-
-
Leicester, United Kingdom, LE5 4PW
- Recruiting
- Leicester General Hospital
-
Contact:
- Jane S Brela
- Phone Number: 0116 2584408
- Email: jane.brela@uhl-tr.nhs.uk
-
Contact:
- Penelope Donley
- Phone Number: 0116 2584725
- Email: penelope.donley@uhl-tr.nhs.uk
-
Principal Investigator:
- Kamlesh Khunti
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Aged 18 years or over.
- Ability to read and understand English.
- Has not already completed the questionnaire.
- Able and willing to complete questionnaire.
Exclusion Criteria:
- Participant unable or unwilling to complete questionnaire.
- Under the age of 18.
- Participant has already completed the questionnaire.
- Unable to read and write in English.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Cross-Sectional
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Clustering of common lifestyle behaviours
Time Frame: 5 years
|
To investigate the clustering of common lifestyle behaviours in a multi-ethnic population.
|
5 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Examine associations socio-demographic factors and lifestyle behaviours
Time Frame: 5 years
|
To examine associations between socio-demographic factors and lifestyle behaviours, in both a healthy population and those with LTCs, to define subgroups with elevated risk of poor health outcomes.
|
5 years
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Mental Disorders
- Chemically-Induced Disorders
- Nervous System Diseases
- Apnea
- Sleep Disorders, Intrinsic
- Dyssomnias
- Sleep Wake Disorders
- Urologic Diseases
- Pain
- Neurologic Manifestations
- Renal Insufficiency
- Sleep Apnea Syndromes
- Substance-Related Disorders
- Personality Disorders
- Sleep Apnea, Obstructive
- Cardiovascular Diseases
- Kidney Diseases
- Renal Insufficiency, Chronic
- Chronic Pain
- Respiration Disorders
- Respiratory Tract Diseases
Other Study ID Numbers
- 0672
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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