This Kass_Desai_Sanderson_haemoglobin_diabetes_sleep_studyReadMe.txt file was generated on 2021-08-05 by Lindsy Kass.


GENERAL INFORMATION

1. Title of Dataset: The relationship between the elevation of Haemoglobin A1c level, sleep quality and sleep duration in clinically diagnosed pre-diabetic patients in a nationally representative sample

2. Author Information
	A. Principal Investigator Contact Information
		Name: Lindsy Kass
		Institution: University of Hertfordshire
		Address: School of Life and Medical Sciences.  University of Hertfordshire. De Havilland, Hatfield, Hertfordshire, AL10 9EU
		Email: l.s.kass@herts.ac.uk

	B. Associate or Co-investigator Contact Information
		Name: Terun Desai
		Institution: University of Hertfordshire
		Address: School of Life and Medical Sciences.  University of Hertfordshire. De Havilland, Hatfield, Hertfordshire, AL10 9EU
		Email: t.desai@herts.ac.uk

	C. Alternate Contact Information
		Name: Julia Sanderson
		Institution: University of Hertfordshire
		Address: School of Life and Medical Sciences.  University of Hertfordshire. De Havilland, Hatfield, Hertfordshire, AL10 9EU
		Email:jsanderson836@gmail.com 

3. Date of data collection: 2019-01 to 2019-04  

4. Geographic location of data collection: United Kingdom

5. Information about funding sources that supported the collection of the data: None


SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: Creative Commons Attribution 4.0 International (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/

2. Links to publications that cite or use the data: TO BE UPDATED

3. Was data derived from another source? No
	
4. Recommended citation for this dataset: APA (below)

Kass, L., Desai, T., & Sanderson, J. (2021). The relationship between the elevation of Haemoglobin A1c level, sleep quality and sleep duration in clinically diagnosed pre-diabetic patients in a nationally representative sample [Data set]. University of Hertfordshire. https://doi.org/10.18745/DS.24981


DATA & FILE OVERVIEW

1. File List: 
Sheet_1_Normality data.csv:- file showing test for normality
Sheet_2_ID and Gender data.csv:- file giving age, gender and sleep duration
Sheet_3_Combined data.csv:- file showing HbA1c, sleep quality (AU) and sleep duration (Hrs)
Sheet_4_Gender data.csv:- file showing all data divided by gender
 


METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 

Participants were recruited from the National Health Service England (NHSE) funded Healthier You: National Diabetes Prevention Programme (NDPP). 
Forty participants took part in the study. Potential participants were approached, by phone call once they were referred and registered on the NHSE NDPP. 
These programme participants were recruited through healthcare professional referrals (nurses and GPs) and self-referrals.
Participants were eligible if aged 18 years and over; had an HbA1c referral reading of between 42-47mmol/mol within the last 12 months;
and were registered on the NHSE NDPP.  Exclusion criteria included participants with a severe debilitating disease which may have interfered with 
the study participation, under the age of 18 years, over the age of 65 years and/or pregnant.
Participants received a pre-program information pack in conjunction with a SQ (sleep quality) and SD (sleep duration) questionnaire at the end of their 1:1 initial appointments for the NHSE NDPP. 
Participants were given prepaid envelopes to send their anonymised questionnaires back to the researcher once completed after their 1:1 appointment.


2. Methods for processing the data: 

SQ and SD were assessed using the Pittsburgh Sleep Quality Index (PSQI), evaluating SQ and SD over a 1-month time interval. The PSQI is a 19-item self-rated questionnaire 
that generates seven sleep component scores on a 0–3 scale, with three indicating the greatest dysfunction. The PSQI score was comprised of the sum of the 
scores for the seven components in a way that a higher score indicated a worse SQ. Poor SQ was defined as PSQI score greater than 5. SD was defined as the number
of hours participants spent sleeping.


3. Instrument- or software-specific information needed to interpret the data: 
All analyses were undertaken using IBM SPSS 22 (SPSS, Chicago, IL, USA).  Testing for normality was undertaken: SQ and SD were found to not be normally distributed.
A Spearman’s correlation was performed between HbA1c, SQ and SD measures. A simple linear regression was calculated to predict HbA1c based on the two significant correlates (SQ and SD). Statistical significance was set at a level of P < 0.05 for all tests.


4. People involved with sample collection, processing, analysis and/or submission: 
Julia Sanderson, Terun Desai, Lindsy Kass, Rebecca Hurst


DATA-SPECIFIC INFORMATION FOR: Sheet_2_ID and Gender data.csv

1. Number of variables: 3

2. Number of cases/rows: 40

3. Variable List: 
Age in age years
Gender m = male f = female
duration sleep duration in hours


DATA-SPECIFIC INFORMATION FOR: Sheet_3_Combined data.csv

1. Number of variables: 6

2. Number of cases/rows: 40

3. Variable List: 
Column A = sleep quality rounded to nearest whole number
Column B = sleep quality 
Column C = HbA1c
Column D = Sleep duration rounded to nearest whole number
Column E = Sleep duration
Column F = HbA1c

DATA-SPECIFIC INFORMATION FOR: Sheet_4_Gender data.csv

1. Number of variables: 7

2. Number of cases/rows: 26

3. Variable List: 
Column A = Female sleep quality rounded to nearest whole number
Column B = Female Sleep quality
Column C = Female HbA1c
Column D = Male sleep quality rounded to nearest whole number
Column E = Male sleep quality
Column F = Male HbA1c
Column M = Female sleep duration rounded to nearest whole number
Column N = Female Sleep duration
Column O = Female HbA1c
Column P = Male sleep duration rounded to nearest whole number
Column Q = Male sleep duration
Column R = Male HbA1c