Skip to content
Research Article Open access CC BY 4.0

The Effect of Age, Gender and Haemoglobin Variants on Glycated Haemoglobin

Taiwo Rachel Kotila, Mabel Ayebatonyo Charles-Davies, Felix Rotimi Afolabi, Jokotade Oluremilekun Adeleye, Matthew Ogunlakin, Funmilola Mapayi, Emmanuel Oluyemi Agbedana

International Journal of TROPICAL DISEASE & Health · pp. 1–7 · Published 8 Dec 2018

10.9734/IJTDH/2018/45165

Abstract

Aim: Glycated haemoglobin (HbA1c) is a useful screening, diagnostic and monitoring tool for diabetes. We present the effect of age, gender and haemoglobin variants on HbA1c in an African population with a high prevalence of sickle cell trait (SCT). Study Design: An unmatched case-control study. Place and Duration of Study: This was carried out in the out-patient clinic of a tertiary hospital over a one-year period. Methods: After an overnight fast, blood samples for haemoglobin fractions and HbA1c were measured in 99 individuals with T2DM and 105 apparently healthy controls using HPLC (BioRad, variant II). Results: The age for cases and controls were 25-80yrs and 30-80yrs respectively, male:female ratio were 1:3 and 1:1.4 respectively. Women were seven times more likely to have diabetes in the sixth decade than men. SCT was found in 31% of T2DM women but only in 20% of men (P=.33). T2DM women had a higher HbA1c (58mmol/mol (7.5%) vs 48mmol/mol (6.5%) (P=0.1)). Healthy women also had a significantly higher HbA1c than men, 38 mmol/mol (5.6%) vs 32 mmol/mol (5.1%) (P=.007). HbA1c was consistently higher in individuals with sickle cell trait (HbAS) than those without the trait in both groups. HbA1c did not differ between age groups in T2DM F (4, 92) =2.62, P= .81 nor in controls F (4, 96) =2.06, P=.09. There appears to be a complex interaction between gender and age groups on HbA1c in both T2DM and healthy controls, but the interaction was more pronounced in the T2DM group. There was a stronger correlation between fasting plasma glucose and HbA1C which was stronger controls than the T2DM group ((r= 0.23, P=.02) vs (r=0.12, P=.25)). Conclusion: The association between age, gender and SCT on HbA1c was more pronounced in women, this may be an interplay between socioeconomic, hormonal and genetic factors.

Epidemiology gender disparities haemoglobin variants HbA1c LMIC.

References (12)

  1. 1 Differences in height explain gender differences in the response to the oral glucose tolerance test— the AusDiab study [DOI]
  2. 2 Socially isolated individuals are more prone to have newly diagnosed and prevalent type 2 diabetes mellitus - the Maastricht study – [DOI]
  3. 3 Undiagnosed Diabetes and Pre-Diabetes in Health Disparities [DOI]
  4. 4 Type 2 diabetes, socioeconomic status and life expectancy in Scotland (2012–2014): a population-based observational study [DOI]
  5. 5 Differences between genders in relation to factors associated with risk of diabetic foot in elderly persons: A cross-sectional trial [DOI]
  6. 6 Interaction between gender and uric acid on hemoglobin A1c in community-dwelling persons [DOI]
  7. 7 Reporting variant hemoglobins discovered during hemoglobin A1c analysis — Common practices in clinical laboratories [DOI]
  8. 8 Assessment of care for type 2 diabetic patients at the primary care clinics of a referral hospital.
  9. 9 Prevalence of diabetic foot syndrome amongst population with type 2 diabetes in Pakistan in primary care settings.
  10. 10 Study of Glycated Haemoglobin (HbA1c) In Non-Diabetic Subjects with Subclinical Hypothyroidism [DOI]
  11. 11 Life satisfaction is a protective factor against the onset of Type 2 diabetes in men but not in women: findings from the MONICA / KORA cohort study [DOI]
  12. 12 A cross-sectional analysis of the association between age and gender and prescribed minimum benefit chronic disease list conditions among South Africans with concomitant hypertension, diabetes and dyslipidaemia [DOI]

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

43

Page views

0

PDF downloads

18

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.