Evolving a structural model in type 2 diabetes mellitus

Influence of knowledge, attitudes, and self-management practices on glycaemic control

Matpady Prabhath Kalkura, Shashikiran Umakanth, Arun Gundmi Maiya, Shreemathi Sureshramana Mayya, Krish Nanda Prabhu Renjala Vasudeva, Mamatha Shivananda Pai, Pallavi Prakash Saraswat, Balkudru Kiran Aithal

Research output: Contribution to journalArticle

Abstract

Introduction: Regularity in diabetes self-management practices among people with Type 2 Diabetes Mellitus (T2DM) is a predictor of glycaemic control. Knowledge and attitude have linear relationships with diabetes self-management, and hence exert a positive influence on glycaemic control. Aim: The study aimed to develop and examine a structural model describing the inter-relationship between diabetes knowledge, attitude, self-management practices, and glycaemic control {demonstrated by glycated haemoglobin (HbA1c) levels}. Materials and Methods: A cross-sectional study was conducted among people with T2DM in Udupi taluk, Karnataka, India. A total of 432 participants, selected by simple random sampling and fulfilling the inclusion criteria, were included in the study. Descriptive, correlative and comparative analysis of data was done using Statistical Package for the Social Sciences (SPSS) version 16.0. The Structural Equation Modelling (SEM) technique was used for the model; and path analysis was performed using Analysis of Moment Structures (AMOS) version 25.0 software. Results: Diabetes knowledge was a significant predictor of attitude, which in turn were a significant predictor of diabetes self-management and HbA1c. Importantly, diabetes self-management was a significant predictor for HbA1c. The final model reflected good fit (χ2 (5) =5.849, p=0.321, RMSEA= 0.019, CFI= 1, NFI=0.997). Conclusion: The present study strongly indicates that attitude and self-management practices can have a direct impact on HbA1c levels of people with T2DM. Knowledge has an indirect impact on self-management and HbA1c through attitude. Developing a self-management intervention model (which can be tailored to suit the needs of the individual with T2DM) encompassing knowledge, positive attitude and diabetes self-management practices, might result in improved glycaemic control among people with T2DM, and it will be more sustainable than other interventions since it would work at the community level.

Original languageEnglish
Pages (from-to)LC01-LC05
JournalJournal of Clinical and Diagnostic Research
Volume12
Issue number9
DOIs
Publication statusPublished - 01-09-2018

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Structural Models
Self Care
Medical problems
Type 2 Diabetes Mellitus
Social Sciences
Glycosylated Hemoglobin A
Social sciences
India
Software
Cross-Sectional Studies
Sampling

All Science Journal Classification (ASJC) codes

  • Clinical Biochemistry

Cite this

Kalkura, Matpady Prabhath ; Umakanth, Shashikiran ; Maiya, Arun Gundmi ; Mayya, Shreemathi Sureshramana ; Vasudeva, Krish Nanda Prabhu Renjala ; Pai, Mamatha Shivananda ; Saraswat, Pallavi Prakash ; Aithal, Balkudru Kiran. / Evolving a structural model in type 2 diabetes mellitus : Influence of knowledge, attitudes, and self-management practices on glycaemic control. In: Journal of Clinical and Diagnostic Research. 2018 ; Vol. 12, No. 9. pp. LC01-LC05.
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Evolving a structural model in type 2 diabetes mellitus : Influence of knowledge, attitudes, and self-management practices on glycaemic control. / Kalkura, Matpady Prabhath; Umakanth, Shashikiran; Maiya, Arun Gundmi; Mayya, Shreemathi Sureshramana; Vasudeva, Krish Nanda Prabhu Renjala; Pai, Mamatha Shivananda; Saraswat, Pallavi Prakash; Aithal, Balkudru Kiran.

In: Journal of Clinical and Diagnostic Research, Vol. 12, No. 9, 01.09.2018, p. LC01-LC05.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Evolving a structural model in type 2 diabetes mellitus

T2 - Influence of knowledge, attitudes, and self-management practices on glycaemic control

AU - Kalkura, Matpady Prabhath

AU - Umakanth, Shashikiran

AU - Maiya, Arun Gundmi

AU - Mayya, Shreemathi Sureshramana

AU - Vasudeva, Krish Nanda Prabhu Renjala

AU - Pai, Mamatha Shivananda

AU - Saraswat, Pallavi Prakash

AU - Aithal, Balkudru Kiran

PY - 2018/9/1

Y1 - 2018/9/1

N2 - Introduction: Regularity in diabetes self-management practices among people with Type 2 Diabetes Mellitus (T2DM) is a predictor of glycaemic control. Knowledge and attitude have linear relationships with diabetes self-management, and hence exert a positive influence on glycaemic control. Aim: The study aimed to develop and examine a structural model describing the inter-relationship between diabetes knowledge, attitude, self-management practices, and glycaemic control {demonstrated by glycated haemoglobin (HbA1c) levels}. Materials and Methods: A cross-sectional study was conducted among people with T2DM in Udupi taluk, Karnataka, India. A total of 432 participants, selected by simple random sampling and fulfilling the inclusion criteria, were included in the study. Descriptive, correlative and comparative analysis of data was done using Statistical Package for the Social Sciences (SPSS) version 16.0. The Structural Equation Modelling (SEM) technique was used for the model; and path analysis was performed using Analysis of Moment Structures (AMOS) version 25.0 software. Results: Diabetes knowledge was a significant predictor of attitude, which in turn were a significant predictor of diabetes self-management and HbA1c. Importantly, diabetes self-management was a significant predictor for HbA1c. The final model reflected good fit (χ2 (5) =5.849, p=0.321, RMSEA= 0.019, CFI= 1, NFI=0.997). Conclusion: The present study strongly indicates that attitude and self-management practices can have a direct impact on HbA1c levels of people with T2DM. Knowledge has an indirect impact on self-management and HbA1c through attitude. Developing a self-management intervention model (which can be tailored to suit the needs of the individual with T2DM) encompassing knowledge, positive attitude and diabetes self-management practices, might result in improved glycaemic control among people with T2DM, and it will be more sustainable than other interventions since it would work at the community level.

AB - Introduction: Regularity in diabetes self-management practices among people with Type 2 Diabetes Mellitus (T2DM) is a predictor of glycaemic control. Knowledge and attitude have linear relationships with diabetes self-management, and hence exert a positive influence on glycaemic control. Aim: The study aimed to develop and examine a structural model describing the inter-relationship between diabetes knowledge, attitude, self-management practices, and glycaemic control {demonstrated by glycated haemoglobin (HbA1c) levels}. Materials and Methods: A cross-sectional study was conducted among people with T2DM in Udupi taluk, Karnataka, India. A total of 432 participants, selected by simple random sampling and fulfilling the inclusion criteria, were included in the study. Descriptive, correlative and comparative analysis of data was done using Statistical Package for the Social Sciences (SPSS) version 16.0. The Structural Equation Modelling (SEM) technique was used for the model; and path analysis was performed using Analysis of Moment Structures (AMOS) version 25.0 software. Results: Diabetes knowledge was a significant predictor of attitude, which in turn were a significant predictor of diabetes self-management and HbA1c. Importantly, diabetes self-management was a significant predictor for HbA1c. The final model reflected good fit (χ2 (5) =5.849, p=0.321, RMSEA= 0.019, CFI= 1, NFI=0.997). Conclusion: The present study strongly indicates that attitude and self-management practices can have a direct impact on HbA1c levels of people with T2DM. Knowledge has an indirect impact on self-management and HbA1c through attitude. Developing a self-management intervention model (which can be tailored to suit the needs of the individual with T2DM) encompassing knowledge, positive attitude and diabetes self-management practices, might result in improved glycaemic control among people with T2DM, and it will be more sustainable than other interventions since it would work at the community level.

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