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Childhood Maternal School Leaving Age (Level of Education) and Risk Markers of Metabolic Syndrome in Mid-Adulthood: Results from the 1958 British Birth Cohort

Authors Iwundu C, Pang D,

Received 28 May 2020

Accepted for publication 1 October 2020

Published 15 October 2020 Volume 2020:13 Pages 3761—3771

DOI

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 3

Editor who approved publication: Dr Konstantinos Tziomalos


Chukwuma Iwundu, Dong Pang, Yannis Pappas

Institute for Health Research, University of Bedfordshire, Luton, UK

Correspondence: Chukwuma Iwundu
Institute for Health Research, University of Bedfordshire, Luton, Bedfordshire LU2 8LE, UK
Tel +44 1582 743797
Fax +44 1582 743918
Email Chukwuma.iwundu@study.beds.ac.uk

Purpose: The aim of this study is to investigate the relationship between childhood maternal level of education (CMLE) and changes in anthropometric and laboratory risk markers of metabolic syndrome (MetS) in mid-adulthood using results from the 1958 British Birth Cohort Study.
Design: Cohort study.
Participants: A total of 9376 study samples consisting of subjects that participated in the biomedical survey of the national child development study (NCDS) carried out between 2002 and 2004 were used for the analysis.
Main Outcome Measures: Five risk markers of MetS: (i) HDL-cholesterol (ii) triglyceride (iii) blood pressure (BP) including systolic (SBP) and diastolic (DBP) (iv) waist circumference (WC) and (v) glycated haemoglobin (HbA1c).
Methods: The NCDS or the 1958 British birth cohort data deposited in the UK data service by the centre for longitudinal studies were used for analyses. Ordinary least squares regression was used to determine unit changes in the outcome variables given CMLE.
Results: The estimates for unadjusted regression analysis of individual risk markers indicated a significant relationship between CMLE and alterations in the five risk markers of MetS (HDL-cholesterol, triglyceride, WC, HbA1c, and BP) in midlife. After adjustment for birth and lifestyle characteristics/health behaviours, the relationship between CMLE and the risk markers was attenuated for HDL-cholesterol, triglycerides, and HbA1c but remained significant for WC 0.70 (95% confidence interval (CI) 0.065– 1.30, p< 0.001) and SBP 1.48 (95% CI 0.48– 2.47 p< 0.001).
Conclusion: There was a positive association between lower CMLE and the risk of MetS using the NCDS data. Lifestyle characteristics may be influential determinants of MetS risk in mid-adulthood.

Keywords: maternal education, metabolic syndrome, risk markers, biomedical survey, NCDS data

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