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Original Articles
Evaluation of Stress in Korean Patients with Diabetes Mellitus Using the Problem Areas in Diabetes-Korea Questionnaire
Young Sil Eom, Hwa Sun Park, Sei-Hyun Kim, Sun Mee Yang, Moon Suk Nam, Hyoung Woo Lee, Ki Young Lee, Sihoon Lee, Yeun Sun Kim, Ie Byung Park
Diabetes Metab J. 2011;35(2):182-187.   Published online April 30, 2011
DOI: https://doi.org/10.4093/dmj.2011.35.2.182
  • 5,278 View
  • 60 Download
  • 16 Crossref
AbstractAbstract PDFPubReader   
Background

It is known that diabetes and stress are directly or indirectly related, and that it is important to evaluate stress in patients with diabetes. The relationship between Korean diabetics and diabetes-related stress has never been reported. The objective of this study was to develop a stress questionnaire suitable for use with Korean diabetics and to evaluate its utility.

Methods

This study subjects were 307 Korean diabetics, aged 40 to 74 years old, who visited the Department of Endocrinology and Metabolism at Gachon University Gil Hospital, Yeungnam University Medical Center, and Inha University Hospital in Korea between March 2006 and February 2008. We developed a Korean version of Polonsky's Problem Areas in Diabetes (PAID) stress questionnaire (PAID-K) and used it to assess degrees of stress in our sample of Korean patients. We evaluated the utility of the questionnaire and analyzed the relationships between clinical characteristics of the study subjects and degrees of stress.

Results

Cronbach's alpha for PAID-K was 0.95, and PAID-K scores were significantly correlated with Hypoglycemia Fear Survey scores (r=0.44, P<0.05) and State Trait Anxiety Inventory-6 scores (r=0.21, P<0.05). PAID-K scores were significantly higher in patients with longer durations of diabetes, patients using insulin, and female patients (P=0.02, P=0.038, and P=0.001, respectively). The score also tended to increase as HbA1c levels increased, except for very high HbA1c levels (above 11%) (P for trend<0.05).

Conclusion

We developed the PAID-K questionnaire and demonstrated its utility to evaluate levels of stress in diabetic patients in Korea.

Citations

Citations to this article as recorded by  
  • Impact of diabetes distress on glycemic control and diabetic complications in type 2 diabetes mellitus
    Hye-Sun Park, Yongin Cho, Da Hea Seo, Seong Hee Ahn, Seongbin Hong, Young Ju Suh, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Kwan Woo Lee, So Hun Kim
    Scientific Reports.2024;[Epub]     CrossRef
  • Development and Validation of a Distress Measurement Related to Glucose Monitoring of Diabetes Patients
    Eujin Choi, Sooyeon Kim, Juhee Cho, Min-Sun Kim, Eun Kyung Kwon, Youngha Kim, Danbee Kang, Sung Yoon Cho
    Diabetes Therapy.2023; 14(4): 737.     CrossRef
  • Development and validation of a distress measurement for insulin injections among patients with diabetes
    Eujin Choi, Min-Sun Kim, Juhee Cho, Sooyeon Kim, Eun Kyung Kwon, Youngha Kim, Danbee Kang, Sung Yoon Cho
    Scientific Reports.2023;[Epub]     CrossRef
  • The Mediating Effect of Experiential Avoidance on the Relationship between Diabetes Distress and Self-Stigma in People with Diabetes Mellitus Type 2 in Republic of Korea
    Kawoun Seo
    Healthcare.2023; 11(20): 2773.     CrossRef
  • Patient-reported outcome measures for assessing health-related quality of life in people with type 2 diabetes: A systematic review
    Marlous Langendoen-Gort, Lenka Groeneveld, Cecilia A. C. Prinsen, Joline W. Beulens, Petra J. M. Elders, Ilana Halperin, Geetha Mukerji, Caroline B. Terwee, Femke Rutters
    Reviews in Endocrine and Metabolic Disorders.2022; 23(5): 931.     CrossRef
  • The Mediating Effect of Acceptance Action in the Relationship between Diabetes Distress and Self-stigma among Old Adults with Diabetes in South Korea
    Hyesun Kim, Kawoun Seo
    Journal of Korean Academy of Community Health Nursing.2022; 33(4): 446.     CrossRef
  • Mobile Healthcare System Provided by Primary Care Physicians Improves Quality of Diabetes Care
    Tae Jung Oh, Jie-Eun Lee, Seok Kim, Sooyoung Yoo, Hak Chul Jang
    CardioMetabolic Syndrome Journal.2021; 1(1): 88.     CrossRef
  • Measurement Properties of Patient-Reported Outcome Measures for Diabetes: Systematic Review
    Priscilla Jia Ling Wee, Yu Heng Kwan, Dionne Hui Fang Loh, Jie Kie Phang, Troy H Puar, Truls Østbye, Julian Thumboo, Sungwon Yoon, Lian Leng Low
    Journal of Medical Internet Research.2021; 23(8): e25002.     CrossRef
  • Validity and Reliability of the Korean Version of the Acceptance and Action Questionnaire-Stigma (AAQ-S-K)
    Hyunjin Lee, Myoungjin Kwon, Kawoun Seo
    Healthcare.2021; 9(10): 1355.     CrossRef
  • Adherence to Mediterranean diet and advanced glycation endproducts in patients with diabetes
    Marko Grahovac, Marko Kumric, Marino Vilovic, Dinko Martinovic, Ante Kreso, Tina Ticinovic Kurir, Josip Vrdoljak, Karlo Prizmic, Joško Božić
    World Journal of Diabetes.2021; 12(11): 1942.     CrossRef
  • The Impact of a Community-Based Food Education Program on Nutrition-Related Knowledge in Middle-Aged and Older Patients with Type 2 Diabetes: Results of a Pilot Randomized Controlled Trial
    Carlos Vasconcelos, António Almeida, Maria Cabral, Elisabete Ramos, Romeu Mendes
    International Journal of Environmental Research and Public Health.2019; 16(13): 2403.     CrossRef
  • The Effects of the 2030 Diabetes Camp Program on Depression, Anxiety, and Stress in Diabetic Patients
    Jin Hee Jung, Jung Hwa Lee
    The Journal of Korean Diabetes.2019; 20(3): 194.     CrossRef
  • Research of Type 2 Diabetes Patients’ Problem Areas and Affecting Factors
    Sebahat Atalikoğlu Başkan, Mehtap Tan
    Journal of Diabetes Mellitus.2017; 07(03): 175.     CrossRef
  • Diabetes-related emotional distress instruments: A systematic review of measurement properties
    Jiyeon Lee, Eun-Hyun Lee, Chun-Ja Kim, Seung Hei Moon
    International Journal of Nursing Studies.2015; 52(12): 1868.     CrossRef
  • Internet-Based Mentoring Program for Patients with Type 1 Diabetes
    Sun-Hye Ko, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2014; 38(2): 107.     CrossRef
  • Influence of the Duration of Diabetes on the Outcome of a Diabetes Self-Management Education Program
    Seung-Hyun Ko, Sin-Ae Park, Jae-Hyoung Cho, Sun-Hye Ko, Kyung-Mi Shin, Seung-Hwan Lee, Ki-Ho Song, Yong-Moon Park, Yu-Bae Ahn
    Diabetes & Metabolism Journal.2012; 36(3): 222.     CrossRef
Association of Educational Level and Socioeconomic Status with Glucose Metabolism.
Young Sil Eom, Sun Mee Yang, Pyung Chun Oh, Jung Hyun Lee, Ki Young Lee, Yeun Sun Kim, Sihoon Lee, Jung Soo Im, Jun Yim, Dae Kyu Oh, Moon Suk Nam, Ie Byung Park
Korean Diabetes J. 2008;32(4):377-385.   Published online August 1, 2008
DOI: https://doi.org/10.4093/kdj.2008.32.4.377
  • 2,626 View
  • 34 Download
  • 1 Crossref
AbstractAbstract PDF
BACKGROUND
The objective of the present study was to examine the association of educational level and socioeconomic status with glucose metabolism including prediabetes. METHODS: This cross-sectional study subjects were 882 (mean age: 51.0 +/- 13.4 years, M:F = 241:641) without diabetes, aged more than 20 years and residing in Whasu 2 dong in Incheon. We classified them into three levels according to their educational level: primary (illiterate or up to elementary school), secondary (middle school or high school) and tertiary (university), and into three levels according to their socioeconomic status by self reported questionnaire: low, middle and high. Subjects were diagnosed as three groups (normal, prediabetes and diabetes) by American Diabetes Association criteria using 75 g oral glucose tolerance test. The association of educational level and socioeconomic status with glucose metabolism was analyzed. RESULTS: The number of normal group was 300 (34.0%), that of prediabetes was 470 (53.3%) and that of diabetes was 112 (12.7%). In women, the proportion of primary educational group was larger than that of secondary educational group in diabetes (Odds ratio [OR] = 1.88; 95% confidence interval [CI]: 1.01-3.51) and larger than that of tertiary educational group in prediabetes ([OR] = 2.00; [CI]: 1.06-3.78). But socioeconomic status did not have the statistical association with glucose metabolism in women. Also both educational level and socioeconomic status had no statistical association with glucose metabolism in men. CONCLUSIONS: The proportion of low educational level is larger in prediabetes and diabetes compared with normal group in women.

Citations

Citations to this article as recorded by  
  • How do life-course trajectories of socioeconomic position affect quality of life in patients with diabetes mellitus?
    Hye Ah Lee, Ko Eun Lee, Yool Won Jeong, Jaeseon Ryu, Minkyung Kim, Jung Won Min, Young Sun Hong, Kyunghee Jung-Choi, Hyesook Park
    Quality of Life Research.2014; 23(4): 1337.     CrossRef

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