READ ME File For ‘Datasets for PhD Thesis Cardiometabolic phenotyping and bone health in midlife and older age: a comparison across ethnic groups’

Dataset DOI: not applicable

ReadMe Author: RUTH DURDIN, University of Southampton, 0000-0002-5914-2180

This dataset supports the thesis entitled ‘Cardiometabolic phenotyping and bone health in midlife and older age: a comparison across ethnic groups’

AWARDED BY: University of Southampton

DATE OF AWARD: 2022

DESCRIPTION OF THE DATA
Datasets used for the above PhD. This PhD was based at the MRC Lifecourse Epidemiology Centre. All data were provided through a collaboration with the MRC Unit for Lifelong Health and Ageing, University College London. Due to confidentiality and data sharing restrictions the data files cannot be uploaded; please see below regarding data access:
SABRE: applications for data sharing should be made to the MRC Unit for Lifelong Health and Ageing. 
MRC NSHD: data are available to bona fide researchers upon request to the NSHD Data Sharing Committee via a standard application procedure. The relevant DOIs for the MRC NSHD data used in this work are: 10.5522/NSHD/Q102, 10.5522/NSHD/Q103 and 10.5522/NSHD/S102A.

The Southall and Brent Revisited Study (SABRE) is a tri-ethnic UK-based cohort study; data from SABRE visit 3 were used. The combined dataset comprised dual energy X-ray absorptiometry (DXA) bone and body composition data, clinical data (including anthropometric measurements and blood samples) and questionnaire data.
Chapter 3 and 4:
Chapter 3 investigated ethnic differences in bone mineral density, and whether they were explained by markers of inflammation or adiposity. Chapter 4 investigated whether relationships between cardiometabolic disease and bone mineral density were similar or different across different ethnic groups. 
A combined DTA file was used, which included the following individual datasets and variables:
1)	DXA bone and body composition (including: whole body, femoral neck, total hip and lumbar spine (L1-L4) bone mineral content, bone area, bone mineral density, T-score and Z-score; whole body fat and lean mass; regional lean mass including appendicular lean mass; regional fat mass including android to gynoid fat mass ratio and visceral adipose tissue mass and volume)
2)	Clinical data from SABRE visit 3 (including age, anthropometry (BMI, height, hip circumference, leg length, thigh circumference, waist circumference, weight), biomarkers (brain natriuretic protein, C-reactive protein, cystatin C, gamma-glutamyl transferase, HbA1c, interleukin-6, troponin T, cholesterol, creatinine, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, glucose, triglycerides, insulin) and systolic and diastolic blood pressure)
3)	Questionnaire data from SABRE 3 (including ethnicity, smoking status, alcohol consumption, physical activity levels, screen time, falls, education and hormone replacement therapy use (women only))
4)	Clinical and questionnaire data from SABRE visits 1 (v1) and/or visit 2 (v2) (including age (v1 and v2), anterior thigh skinfold (v1), arm circumference (v1), BMI (v1 and v2), height (v1 and v2), hip circumference (v1 and v2), sagittal abdominal diameter (v1), subscapular skinfold (v1), supra-iliac skinfold (v1), supra-patellar skinfold (v1), thigh circumference (v1 and v2), triceps skinfold (v1), waist circumference (v1 and v2), weight (v1 and v2), waist to hip ratio (v1 and v2), waist to thigh ratio (v1), leg length (v2), high-density lipoprotein (v1), cholesterol (v1 and v2), glucose (v1 and v2), HbA1c (v1 and v2), insulin (v1 and v2), triglycerides (v1), creatinine (v2), C-reactive protein (v2), cystatin C (v2), gamma-glutamyl transferase (v2), systolic and diastolic blood pressure (v1 and v2), diabetes status (v1 and v2), social class (v1), education (v1) and smoking status (v1))

The Medical Research Council National Survey of Health and Development (MRC NSHD) is a UK-based birth cohort study. The combined dataset included DXA bone and body composition, peripheral quantitative computed tomography (pQCT) data, clinical data (including anthropometric measurements and blood samples) and questionnaire data.
Chapter 5:
Chapter 5 investigated associations between markers of inflammation and adiposity with bone phenotype.
A combined DTA file was used, which included:
1)	Clinic data at age 60-64 years, and previous time points throughout adulthood (including age, BMI, height, weight and age at menarche)
2)	Biomarkers from 2006-2010 study visit (including adiponectin, interleukin-6, leptin, C-reactive protein, cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, glucose, HbA1c and triglycerides)
3)	Fracture data from 2006-2010 study visit, with updates from 2014-2016 visit (including age of break, which bone was broken, what caused the bone to break, falls and an osteoporotic fracture definition was created for the purpose of this work)
4)	Musculoskeletal-related variables from 2006-2010 and/or 2014-2016 study visits (including balance, chair rise (response, time and speed), timed up and go, DXA (2006-2010 visit) including appendicular lean mass, whole body lean and fat mass, android to gynoid fat mass ratio, whole body, femoral neck, total hip and lumbar spine (L1-L4) bone mineral content, bone area, bone mineral density, T-score and Z-score, pQCT (2006-2010 visit) including trabecular volumetric bone mineral density (vBMD), total vBMD, cortical vBMD, cortical cross-sectional area (CSA), medullary CSA, total CSA and polar stress strain index (SSI) and grip strength)
5)	Lifestyle and environment variables (including childhood social class, social class at age 53, smoking history, alcohol consumption, physical activity (including leisure time activity and sports) and hormone replacement therapy use (women only))

Date of data collection: SABRE: 2014-2018; MRC NSHD: 2006-2010 and 2014-2016.
Information about geographic location of data collection: 
At visit 3, SABRE participants underwent a clinic visit at University College London.
MRC NSHD: at the 2006-2010 study visit data was collected at six sites (clinical research facilities (CRFs)) across the UK: Manchester, Cardiff, Birmingham, Edinburgh and London (two sites).  At the 2014-2016 visit, participants also received postal questionnaires. 

Related projects/Funders: RD was supported by the National Institute for Health Research Southampton Biomedical Research Centre. The SABRE study was funded at baseline by the MRC, Diabetes UK and British Heart Foundation, and at follow-up by the Wellcome Trust. The MRC NSHD is funded by the Medical Research Council.

Related publications:
Durdin R, Parsons CM, Dennison EM, Williams S, Tillin T, Chaturvedi N, Cooper C, Harvey NC, Ward KA. Inflammatory status, body composition and ethnic differences in bone mineral density: The Southall and Brent Revisited Study. Bone. 2022;155:116286. 

Date that the file was created: September, 2022