Diabetes knowledge, risk perception, and quality of life among South Asian caregivers in young adulthood

Koipuram, Angela; Carroll, Sandra; Punthakee, Zubin; Sherifali, Diana

doi:10.1136/bmjdrc-2020-001268

Cited by 6 publications

(7 citation statements)

References 32 publications

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“…Among those who had family history of diabetes, 27.52% [ 22 ], 34.2% [ 14 ] and 62.7% [ 36 ] perceived high risk of developing type 2 diabetes. A randomized controlled trial conducted among individuals with family history of diabetes found that 34.6% of those in the intervention group and 40.6% of those in the control group perceived their risk of diabetes to be likely or very likely [ 35 ].…”

Section: Resultsmentioning

confidence: 99%

“…Reflecting the importance of risk perception in influencing health-related behaviours, many studies have been conducted to assess the level of risk perception of NCDs including diabetes [ 13 , 14 ]. The level of risk perception from these studies varies, probably due to difference in study population and tools used to measure the risk perception of diabetes.…”

Section: Introductionmentioning

confidence: 99%

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A systematic review on the level of risk perception of diabetes mellitus: The role of environmental factor

Jane Ling,

Ahmad,

Noor Aizuddin

et al. 2024

PLoS ONE

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Background Risk perception plays important role in motivating preventive health behaviours. The objective of this systematic review was to explore the level of diabetes risk perception among individuals with and without apparent risk for diabetes, and to consider the effect of environmental factors on the level of diabetes risk perception. Methods This systematic review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The literature search was carried out through PubMed, Web of Science, and Scopus. Original articles written in English and published between 2013 and 2023 were considered. Study quality was appraised using the Mixed Methods Appraisal Tool. Narrative synthesis was undertaken due to methodological heterogeneity in the included studies. Results A total of 13 cross-sectional studies, two randomized controlled trials, two cohort studies, two mixed methods studies and one quasi-experiment with a control group were included. An overall low level of diabetes risk perception was reported particularly in those without apparent risk for diabetes. The 20 included studies reported widely varied measures for calculating diabetes risk perception. The influence of environmental factors on the risk perception of diabetes was highlighted. Limitations The use of study-specific and non-validated measures in the included studies weakens the authors’ ability to compare across studies. The role of language and publication bias within this systematic review should be acknowledged as we included only English-language studies published in peer-reviewed journals. Another limitation is the exclusion of dimensions of risk perception such as optimistic bias as search terms. Conclusion The overall low risk perception of diabetes calls for urgent need of public health interventions to increase the risk perception of diabetes. In the future, researchers should ensure the validity and reliability of the measures being used. The influence of environmental factors on the diabetes risk perception indicates that diabetes preventive interventions targeting environmental factors may be effective in increasing the risk perception of diabetes.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A systematic review on the level of risk perception of diabetes mellitus: The role of environmental factor

Jane Ling,

Ahmad,

Noor Aizuddin

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…5 This type of risk perception increases in women, those who are older, have a family history of diabetes, are overweight/obese, consume sugary drinks, do not consume fruits and vegetables, have a previous diagnosis of hypertension, have knowledge about the risk factors for T2DM and have a poor perception of their health status. [6][7][8][9][10] However, a study conducted in Alemannia, reports that people with prediabetes and undiagnosed T2DM report low risk perception, 11 the same as in the Mexican population. 12 The low risk perception of T2DM may be due to different factors such as beliefs that diseases are unpredictable, or fatalistic beliefs.…”

Section: Introductionmentioning

confidence: 99%

Fatalism and knowledge associated to diabetes mellitus type 2 risk perception in Mexican population during COVID-19 confinement

Catalán¹,

Aguirre

Domínguez-Chávez³

et al. 2023

F1000Res

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Background: People with fatalistic beliefs and lack of knowledge of healthy lifestyles tend to show conformism and resignation due to their state of health. Even people with fatalism consider that contracting a disease is divine punishment, and this is reflected when they perform in unhealthy behaviours. The relationship between fatalistic beliefs, knowledge about diabetes risk factors, and perception of diabetes risk in Mexican adults during the COVID-19 pandemic were evaluated. Methods: The study design was cross-sectional and correlational. The study included individuals between 30 and 70 years of age, from a rural community in Guanajuato, Mexico. The data collection was done electronically. Results: The average age was 29.2 years (SD = 10.5), 55% were women, 52.3% were single, 36.2% had university studies and 57.3% were working. Perceived DMT2 risk was inversely related to fatalistic beliefs. Knowledge level was positively correlated to DMT2 risk perception. In multiple linear regression, pessimism and divine control dimensions were the only predictors of DMT2 risk perception. Conclusions: In young adults, knowledge increases regarding DMT2 risk perception. But the higher the fatalistic beliefs the lower the level of knowledge and the lower the perception of DMT2 risk.

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“…As patients' physical functions decline due to their increased age, the management of diabetes is challenging (7). In addition, as long-term lifestyle interventions in diabetic patients continue, patients' perception of risk factors can decrease due to a lack of tools to objectively measure these factors, resulting in decreased motivation and compliance (8). These two problems interact synergistically, significantly affecting the management of CCVCs of T2DM.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a nomogram based on the hospital information system for quantitative assessment of the risk of cardiocerebrovascular complications of diabetes

Xi¹,

Yin²,

Wang³

et al. 2022

Ann Transl Med

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Background: Although the prevention and treatment of the cardiocerebrovascular complications (CCVCs) of diabetes have been clarified, their incidence is still high. This is largely due to the lack of predictive models to objectively assess the risk of CCVC in patients with type 2 diabetes mellitus (T2DM), reducing their treatment adherence. Despite the fact that the risk factors of CCVC in T2DM patients have been identified, no prediction model for identifying T2DM patients with the risk of CCVC is available. Therefore, the aim of this study is to establish a nomogram based on hospital information system data to quantitatively assess the risk of CCVCs in T2DM patients. This model is contributed to individualized therapeutic treatments and motivating T2DM patients to adhere to lifestyle interventions. Methods:The medical records of 1,556 T2DM patients, comprising 1,145 cases in the training cohort and 411 in the validation cohort were retrospectively analyzed. CCVCs of diabetes, including coronary heart disease, cerebral ischemia, and intracerebral hemorrhage, were extracted from the medical records.Univariate and multivariate logistic regression analyses were performed to screen the independent correlates of CCVCs from the demographic information and laboratory test data, which were utilized to establish a nomogram for predicting the risk of CCVCs in these patients. We used internal and external validation based on the training and validation cohorts to evaluate the model performance. Results:The incidence of CCVCs in the training cohort (26.99%) was similar to the validation cohort (25.79%). Disease duration, body mass index (BMI), systolic blood pressure (SBP), glycosylated hemoglobin (HbA1c), and uric acid (UA) levels were finally included in the established nomogram. In both the internal and external validation, the nomogram showed good discrimination [area under the curve (AUC) =0.850 and 0.825, respectively] and calibration (P=0.127 and P=0.096, respectively). Decision curve analysis showed that the nomogram produced a net benefit in both the training and validation cohorts. Conclusions:The nomogram developed for predicting the risk of CCVC in T2DM patients may help improve treatment adherence. Further multi-center prospective investigations are required to predict the timing of CVCC in T2DM patients.

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Diabetes knowledge, risk perception, and quality of life among South Asian caregivers in young adulthood

Cited by 6 publications

References 32 publications

A systematic review on the level of risk perception of diabetes mellitus: The role of environmental factor

A systematic review on the level of risk perception of diabetes mellitus: The role of environmental factor

Fatalism and knowledge associated to diabetes mellitus type 2 risk perception in Mexican population during COVID-19 confinement

Development and validation of a nomogram based on the hospital information system for quantitative assessment of the risk of cardiocerebrovascular complications of diabetes

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