Factors Affecting Diabetic Screening Behavior of Korean Adults: A Multilevel Analysis

Kim, Hyeong-Su; Lee, Minjung; Kim, Haejoon; Lee, Kun Sei; Chang, Soung-Hoon; Kim, Vitna; Myong, Jun‐Pyo; Jeon, Soyoun

doi:10.1016/j.anr.2013.04.002

Cited by 8 publications

(8 citation statements)

References 20 publications

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“…When the factors affecting individuals’ behaviors are present at a higher level such as the community, a general regression approach cannot accurately identify the nature of inter-variable associations and a multilevel regression approach must be used in order to investigate the effect of community characteristics [ 14 , 17 ]. In the present study, the ICC of the null model was estimated to be 7% in the male model and 9% in the female model, and the random effects of the community was significant, suggesting that the community-level factors should be included in the final models [ 14 ].…”

Section: Discussionmentioning

confidence: 99%

Factors affecting screening for diabetic complications in the community: a multilevel analysis

Han

Kim

et al. 2016

Epidemiol Health

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OBJECTIVES:The objective of the present study was to identify the factors that affect screening for diabetic complications by sex in the community.METHODS:This study used individual-level data from the 2013 Community Health Survey (CHS) for 20,806 (male, 9,958; female, 10,848) adults aged 30 years or older who were diagnosed with diabetes. Community-level data for 253 communities were derived from either CHS or national statistics. A chi-square test and multilevel logistic regression analysis was performed.RESULTS:There were significant differences in the rate of screening for diabetic complications according to individual-level and community-level variables. In the multilevel analysis, the community-level variance ratio of the null model was 7.4% and 9.2% for males and females, respectively. With regard to community-level variables, males were affected by the city type, number of physicians, and their living environment, while females were affected by number of physicians, natural and living environments, and public transportation.CONCLUSIONS:The factors that influenced individual willingness to undergo screening for diabetic complications differed slightly by sex; however, both males and females were more likely to undergo screening when they recognized their health status as poor or when they actively sought to manage their health conditions. Moreover, in terms of community-level variables, both males and females were affected by the number of physicians. It is essential to provide sufficient and ongoing opportunities for education on diabetes and its management through collaboration with local communities and primary care medical centers.

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Section: Discussionmentioning

confidence: 99%

Factors affecting screening for diabetic complications in the community: a multilevel analysis

Han

Kim

et al. 2016

Epidemiol Health

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“…Third, we added the variables calculated at the sector level (characteristics of the sectors and their environment) (model 3). For each model, we calculated the intraclass correlation coefficient (ICC), which is the proportion of variance that is accounted for by the centre level (i.e., psychiatric sectors), and the proportional change in variance (PCV) to determine the proportion of variance explained by each type of explanatory variable [76]. Finally, we interpreted the value of the estimated regression coefficient associated to the level of development of AFTH (β1) after retransforming the coefficient based on the logarithmic transformation of the dependent variable: %∆ LOS = 100*(e^β1 − 1) [77].…”

Section: Methodsmentioning

confidence: 99%

The Development of Psychiatric Services Providing an Alternative to Full-Time Hospitalization Is Associated with Shorter Length of Stay in French Public Psychiatry

Gandré

Gervaix

Thillard

et al. 2017

IJERPH

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International recommendations for mental health care have advocated for a reduction in the length of stay (LOS) in full-time hospitalization and the development of alternatives to full-time hospitalizations (AFTH) could facilitate alignment with those recommendations. Our objective was therefore to assess whether the development of AFTH in French psychiatric sectors was associated with a reduction in the LOS in full-time hospitalization. Using data from the French national discharge database of psychiatric care, we computed the LOS of patients admitted for full-time hospitalization. The level of development of AFTH was estimated by the share of human resources allocated to those alternatives in the hospital enrolling the staff of each sector. Multi-level modelling was carried out to adjust the analysis on other factors potentially associated with the LOS (patients’, psychiatric sectors’ and environmental characteristics). We observed considerable variations in the LOS between sectors. Although the majority of these variations resulted from patients’ characteristics, a significant negative association was found between the LOS and the development of AFTH, after adjusting for other factors. Our results provide first evidence of the impact of the development of AFTH on mental health care and will provide a lever for policy makers to further develop these alternatives.

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“…All individuals were asked to sign the informed consent 1,3 Associate Professor, 2 Additional Professor, 4,5 Senior Resident 6 Professor form followed by registration. Height, weight, and waist circumference were measured, and BMI was calculated for all of them.…”

Section: Methodsmentioning

confidence: 99%

“…India is the prime focus area for diabetes-related research because of three reasons: (i) It is the second largest country of adult diabetic individuals, after China; (ii) it is regarded as the second largest nation to be populated with children with type 1 diabetes (70,200), after USA; and (iii) it is the largest contributor to regional mortality attributable to diabetes (one million deaths). 2 Unlike diabetes, prediabetes and undiagnosed diabetes are the hidden dangers that would further accelerate the diabetes burden in future and worsen the scenario. Estimating their prevalence would be a vital index to calculate the actual burden of the disorder and thus, enable to formulate and implement appropriate policies before it turns to be a public health catastrophe.…”

Section: Introductionmentioning

confidence: 99%

Prediabetes and Undiagnosed Diabetes Mellitus: The Hidden Danger

Nanda¹,

Abraham²,

Sahoo³

et al. 2017

Indian Journal of Medical Biochemistry

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Introduction Diabetes is considered as a major challenge to the public health system in India. Recent articles clearly mention that the hidden danger in the form of prediabetes and undiagnosed diabetes is greatly adding to the burden silently. Awareness regarding the same, particularly among youth, can help diagnose the condition very early and thus, initiate early management. Objectives With an aim to estimate the frequency of prediabetes and undiagnosed diabetes in the adult population, a camp was organized in our institute to screen the adults in our locality by estimating fasting plasma glucose (FPG) and glycosylated hemoglobin (HbA1c). Materials and methods A total of 246 individuals were selected for analysis after excluding the known diabetic cases. Height, weight, pulse, blood pressure (BP), waist circumference, and body mass index (BMI) were measured. Plasma fasting sugar and fasting serum lipid profile were analyzed. The HbA1c was estimated in hyperglycemic subjects. Results The frequency of hyperglycemia in the study population was found to be 28%. The total frequency of prediabetes was 18.3% and that of undiagnosed diabetes was 9.75%. The raised sugar could be significantly associated with age, waist circumference, BMI, hypertriglyceridemia, and cholesterol-to-high-density lipoprotein (Chol:HDL) ratio. Aging, greater BMI, hypertriglyceridemia, and raised low-density lipoprotein (LDL) depicted significant odds ratio (OR) to predict the risk factor for diabetes. Conclusion The hidden burden of diabetes in our locality is quite high, which, if not taken care, would result in a public health catastrophe. How to cite this article Patel S, Nanda R, Abraham J, Sahoo S, Ganguly A, Mohapatra E. Prediabetes and Undiagnosed Diabetes Mellitus: The Hidden Danger. Indian J Med Biochem 2017;21(2):91-95.

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Factors Affecting Diabetic Screening Behavior of Korean Adults: A Multilevel Analysis

Cited by 8 publications

References 20 publications

Factors affecting screening for diabetic complications in the community: a multilevel analysis

Factors affecting screening for diabetic complications in the community: a multilevel analysis

The Development of Psychiatric Services Providing an Alternative to Full-Time Hospitalization Is Associated with Shorter Length of Stay in French Public Psychiatry

Prediabetes and Undiagnosed Diabetes Mellitus: The Hidden Danger

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