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Non-Dietary Factors Associated with Glycemic Status among Adults Diagnosed with Type 2 Diabetes Mellitus in Malawi

Bibliographic Data

ID21834883
AuthorsGetrude Mphwanthe (0000-0002-1608-4662, Lilongwe University of Agriculture and Natural Resources, corresponding author), Dave Weatherspoon (Michigan State University), Dave D Weatherspoon (0000-0002-2861-4181, Michigan State University), Alexander Kalimbira (0000-0002-0501-4351, Lilongwe University of Agriculture and Natural Resources), Lorraine Weatherspoon (Michigan State University)
Year2020
Volume35
Issue6
Pages380-391
Publication date2020-07-01
Open AccessNo
TypeARTICLE
VenueSocial Work in Public Health (JOURNAL)
Journal identifiersISSN: 1937-190X • E-ISSN: 1937-1918
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/19371918.2020.1785367
PMID32633647
OpenAlexW3041726252
LanguageEN
References cited36

We assessed glycemic status and associations with socio-demographic, biomedical, anthropometric, and physical activity (PA) levels among adults with type 2 diabetes mellitus (T2DM) (n = 428; urban n = 288; semi-urban n = 140) using a cross-sectional study. Multivariate linear regression was used to determine factors associated with glycosylated hemoglobin (A1C) . A1C was clinically elevated ≥8% for 60.3% of the participants. Overall, age and PA levels showed a negative association with A1C, and positively with underweight status, duration of diabetes, and participants' view of fluctuating/unstable blood glucose and blood glucose not improved compared to first diagnosed. A significant negative association with A1C was shown with PA levels and additional blood glucose monitoring (BGM) beyond that received at the public clinic in the urban area. Whilst, in the semi-urban area, there was a significant positive association with A1C with regards to duration of diabetes and insulin regimen. Determinants of A1C in this target group are multifactorial, therefore, interventions aiming to improve diabetes clinical outcomes are needed to reduce the likelihood of serious ramifications. Additionally, a team approach from healthcare professionals is needed in conjunction with active patient engagement as well as the development of more comprehensive diabetes care guidelines and policies

Anthropometry · Cross-sectional study · Diabetes management · Diabetes mellitus · Glycemic · Multivariate analysis · Obesity · Overweight · Psychological intervention · Type 2 diabetes · Type 2 Diabetes Mellitus · Underweight · Diabetes Management and Education · Diabetes Management and Research · Diabetes, Cardiovascular Risks, and Lipoproteins · Medicine · Endocrinology · Internal Medicine

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Highly citedNo

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