Skip Navigation
Skip to contents

JPMPH : Journal of Preventive Medicine and Public Health

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
2 "Self report"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Articles
Association Between Non-adherence to Diabetes Management and Poor Sleep Quality Based on the Korean Community Health Survey
Horim A. Hwang, Hyunsuk Jeong, Hyeon Woo Yim
J Prev Med Public Health. 2025;58(3):260-268.   Published online January 14, 2025
DOI: https://doi.org/10.3961/jpmph.24.486
  • 4,867 View
  • 405 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
Adhering to management guidelines, including routine follow-up and education, is crucial for the effective management of chronic diseases such as diabetes. Uncontrolled diabetes is linked to poor sleep quality. We used nationally representative data from community-dwelling Koreans to investigate potential associations between non-adherence to diabetes management and poor sleep quality.
Methods
Of the 228 340 participants in the 2018 Korea Community Health Survey, we analyzed data from 68 246 participants aged 65 years and older. Based on their diabetes status and adherence to diabetes-related tests (glycated hemoglobin, fundus examination, and urine microalbuminuria) and management education, study participants were divided into 3 groups: no diabetes, adherence, and non-adherence. Outcome variables included poor overall sleep quality and sleep disturbances, as measured by the Pittsburgh Sleep Quality Index.
Results
The study included 934 participants in the adherence group (2.0%) and 13 420 in the non-adherence group (20.2%). Participants displaying non-adherence were significantly more likely to report poor overall sleep quality (adjusted odds ratio [aOR], 1.09; 95% confidence interval [CI], 1.04 to 1.13) and to experience sleep fragmentation, nocturia, pain during sleep, and difficulty falling asleep compared to participants without diabetes. Even in the earlier stage of diabetes, non-adherent participants were more likely to report poor sleep quality (aOR, 1.06; 95% CI, 1.00 to 1.18).
Conclusions
Patients with diabetes who do not follow management guidelines are more likely to experience poor sleep quality than those without diabetes. Emphasizing diabetes management and increasing awareness of management strategies may improve sleep quality among patients with this disease.
Summary
Korean summary
혈당조절이 되지 않는 당뇨병이 수면 관련 문제의 발생 위험을 높이는 것은 기존 연구에서 알려져 있었으나, 당뇨관리 여부가 지역사회에 거주하는 당뇨환자들의 수면의 질에 미치는 영향은 충분히 탐구 되지 않았었다. 당뇨 관리 (연 2회 이상 당화혈색소 검사, 매년 당뇨합병증 검사, 당뇨관리교육 이수)에 순응하지 않는 당뇨환자들은 당뇨가 없는 일반인들에 비해 수면 문제를 호소할 가능성이 유의하게 높은 것이 확인되었다. 이는 당뇨 유병기간으로 층화분석하였을때도 일관되게 확인되었다.
Key Message
Uncontrolled diabetes is associated with increased risk of sleep-related problems, but the knowledge on the impact of poor diabetes management on the sleep quality of community dwelling patients with diabetes is limited. Diabetes patients who did not adhere to diabetes management (<2 hemoglobin A1c tests, did not take diabetes complication test, or received diabetes management education) were more significantly more likely to report overall poor sleep quality than those without diabetes. The above association remained significant when the patients were stratified by diabetes duration.

Citations

Citations to this article as recorded by  
  • Assessment of Sleep Quality and Its Determinants Among Patients with Type 2 Diabetes Mellitus in Mogadishu, Somalia: A Cross-Sectional Study
    Nur Mohamed, Rahma Haji Mohamud, Fadumo Hilowle, Tigad Ali, Yusuf Abdirisak Mohamed, Adan Gabow, Hawa Mohamed, Nor Sidow, Mohamed Sheikh Hassan, Mohamud Waberi
    Diabetes, Metabolic Syndrome and Obesity.2025; Volume 18: 1949.     CrossRef
Validity of Self-reported Hypertension and Factors Related to Discordance Between Self-reported and Objectively Measured Hypertension: Evidence From a Cohort Study in Iran
Farid Najafi, Yahya Pasdar, Ebrahim Shakiba, Behrooz Hamzeh, Mitra Darbandi, Mehdi Moradinazar, Jafar Navabi, Bita Anvari, Mohammad Reza Saidi, Shahrzad Bazargan-Hejazi
J Prev Med Public Health. 2019;52(2):131-139.   Published online March 29, 2019
DOI: https://doi.org/10.3961/jpmph.18.257
  • 11,430 View
  • 146 Download
  • 25 Crossref
AbstractAbstract PDF
Objectives
Self-reporting can be used to determine the incidence and prevalence of hypertension (HTN). The present study was conducted to determine the validity of self-reported HTN and to identify factors affecting discordance between self-reported and objectively measured HTN in participants in the Ravansar Non-Communicable Diseases (RaNCD) cohort.
Methods
The RaNCD cohort included permanent residents of Ravansar, Iran aged 35-65 years. Self-reported data were collected before clinical examinations were conducted by well-trained staff members. The gold standard for HTN was anti-hypertensive medication use and blood pressure measurements. The sensitivity, specificity, positive and negative predictive values, and overall accuracy of self-reporting were calculated. Univariate and multivariate logistic regression were used to examine the discordance between self-reported HTN and the gold standard.
Results
Of the 10 065 participants in the RaNCD, 4755 (47.4%) were male. The prevalence of HTN was 16.8% based on self-reporting and 15.7% based on medical history and HTN measurements. Of the participants with HTN, 297 (18.8%) had no knowledge of their disease, and 313 (19.9%) had not properly controlled their HTN despite receiving treatment. The sensitivity, specificity, and kappa for self-reported HTN were 75.5%, 96.4%, and 73.4%, respectively. False positives became more likely with age, body mass index (BMI), low socioeconomic status, and female sex, whereas false negatives became more likely with age, BMI, high socioeconomic status, smoking, and urban residency.
Conclusions
The sensitivity and specificity of self-reported HTN were acceptable, suggesting that this method can be used for public health initiatives in the absence of countrywide HTN control and detection programs.
Summary

Citations

Citations to this article as recorded by  
  • The impact of using self-report versus objective measures of cardiometabolic conditions in epidemiologic research: a case study from India using data from the longitudinal aging study in India
    Emma Nichols, Peifeng Hu, David E. Bloom, Jinkook Lee, T. V. Sekher
    Frontiers in Epidemiology.2025;[Epub]     CrossRef
  • Physical disability and risk of incident hypertension: a prospective cohort analysis
    Yusuff Adebayo Adebisi, Najim Z. Alshahrani, Isaac Olushola Ogunkola, Don Eliseo Lucero-Prisno
    Journal of Human Hypertension.2025; 39(10): 709.     CrossRef
  • Association between adult education, brain volume and dementia risk: longitudinal cohort study of UK Biobank participants
    Jiayin Jin, Andrew Sommerlad, Naaheed Mukadam
    GeroScience.2024; 47(1): 903.     CrossRef
  • Social determinants of health and hypertension screening among women in The Gambia: an evaluation of 2019-2020 demographic and health survey data
    Heather F. McClintock, Victoria Peacock, Rose Nkiri Asong
    Journal of Human Hypertension.2024;[Epub]     CrossRef
  • An Examination of the Agreement between Self-reported Diabetes and Paraclinical Tests, Medical Records, and Clinical Examinations: Insights from the Shahedieh Cohort Study, Yazd, Iran
    Farzan Madadizadeh, Mahdieh Momayyezi, Hossein Fallahzadeh
    Journal of Caring Sciences.2024; 13(2): 97.     CrossRef
  • Validation of self-reported hypertension in young adults in the US-based Growing Up Today Study (GUTS)
    Jie Chen, Jaime E. Hart, Naomi D. L. Fisher, Francine Laden, Ibrahim Sebutu Bello
    PLOS ONE.2024; 19(10): e0311812.     CrossRef
  • Agreement between self-reported and objectively measured hypertension diagnosis and control: evidence from a nationally representative sample of community-dwelling middle‐aged and older adults in China
    Jingxian Wu, Danlei Chen, Cong Li, Yingwen Wang
    Archives of Public Health.2024;[Epub]     CrossRef
  • Self-Reported Hypertension and Associated Factors Among Adults in Butambala District, Central Uganda: A Community-Based Prevalence Study
    Alex Kato, Winnie Kibone, Jerom Okot, Joseph Baruch Baluku, Felix Bongomin
    Integrated Blood Pressure Control.2023; Volume 16: 71.     CrossRef
  • Validity of self‐reported hypertension and related factors in the adult population: Preliminary results from the cohort in the west of Iran
    Negar Piri, Yousef Moradi, Reza Ghanei Gheshlagh, Mahsa Abdullahi, Eghbal Fattahi, Farhad Moradpour
    The Journal of Clinical Hypertension.2023; 25(2): 146.     CrossRef
  • Sex-Specific Contributions of Alcohol and Hypertension on Everyday Cognition in Middle-Aged and Older Adults
    Madison Musich, Amy N. Costa, Victoria Salathe, Mary Beth Miller, Ashley F. Curtis
    Journal of Women's Health.2023; 32(10): 1086.     CrossRef
  • National and regional prevalence rates of hypertension in Saudi Arabia: A descriptive analysis using the national survey data
    Aqeel M. Alenazi, Bader A. Alqahtani
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • Psychotic-like experiences are associated with physical disorders in general population: A cross-sectional study from the NESARC II
    David Sleurs, Caroline Dubertret, Baptiste Pignon, Sarah Tebeka, Yann Le Strat
    Journal of Psychosomatic Research.2023; 165: 111128.     CrossRef
  • Understanding Cognitive Deficits in People with High Blood Pressure
    Weixi Kang, Sònia Pineda Hernández
    Journal of Personalized Medicine.2023; 13(11): 1592.     CrossRef
  • Validity of self-reported hypertension and associated factors among Vietnamese adults: a cross-sectional study
    Hoang Thi Hai Van, Dang Thi Huong, Tran Ngoc Anh
    Blood Pressure.2023;[Epub]     CrossRef
  • Validity of self‐reported hypertension in India: Evidence from nationally representative survey of adult population over 45 years
    Mrigesh Bhatia, Priyanka Dixit, Manish Kumar, Laxmi Kant Dwivedi
    The Journal of Clinical Hypertension.2022; 24(11): 1506.     CrossRef
  • Socioeconomic inequalities in prevalence, awareness, treatment and control of hypertension: evidence from the PERSIAN cohort study
    Mahin Amini, Mahdi Moradinazar, Fatemeh Rajati, Moslem Soofi, Sadaf G. Sepanlou, Hossein Poustchi, Sareh Eghtesad, Mahmood Moosazadeh, Javad Harooni, Javad Aghazadeh-Attari, Majid Fallahi, Mohammad Reza Fattahi, Alireza Ansari-Moghaddam, Farhad Moradpour,
    BMC Public Health.2022;[Epub]     CrossRef
  • Barriers to effective hypertension management in rural Bihar, India: A cross-sectional, linked supply- and demand-side study
    Michael A. Peters, Olakunle Alonge, Anbrasi Edward, Yvonne Commodore-Mensah, Japneet Kaur, Navneet Kumar, Krishna D. Rao, Roopa Shivashankar
    PLOS Global Public Health.2022; 2(10): e0000513.     CrossRef
  • Risk factors, ethnicity and dementia: A UK Biobank prospective cohort study of White, South Asian and Black participants
    Naaheed Mukadam, Louise Marston, Gemma Lewis, Gill Livingston, Gyaneshwer Chaubey
    PLOS ONE.2022; 17(10): e0275309.     CrossRef
  • Maternal perinatal hypertensive disorders and parenting in infancy
    Lindsay Huffhines, Margaret H. Bublitz, Jesse L. Coe, Ronald Seifer, Stephanie H. Parade
    Infant Behavior and Development.2022; 69: 101781.     CrossRef
  • Determinants of self-reported hypertension among women in South Africa: evidence from the population-based survey
    Peter Austin Morton Ntenda, Walaa Mamdouh Reyad El-Meidany, Fentanesh Nibret Tiruneh, Mfundi President Sebenele Motsa, Joyce Nyirongo, Gowokani Chijere Chirwa, Arnold Kapachika, Owen Nkoka
    Clinical Hypertension.2022;[Epub]     CrossRef
  • Identifying factors associated with of blood pressure using Structural Equation Modeling: evidence from a large Kurdish cohort study in Iran
    Farid Najafi, Mehdi Moradinazar, Shahab Rezayan, Reza Azarpazhooh, Parastoo Jamshidi
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • Examining elevated blood pressure and the effects of diabetes self-management education on blood pressure among a sample of Marshallese with type 2 diabetes in Arkansas
    Pearl A. McElfish, Christopher R. Long, Zoran Bursac, Aaron J. Scott, Harish E. Chatrathi, Ka‘imi A. Sinclair, Nirav Nagarsheth, Mikaila Calcagni, Jay Patolia, Marie-Rachelle Narcisse, Solveig A. Cunningham
    PLOS ONE.2021; 16(4): e0250489.     CrossRef
  • Food insecurity and hypertension: A systematic review and meta-analysis
    Sourik Beltrán, Marissa Pharel, Canada T. Montgomery, Itzel J. López-Hinojosa, Daniel J. Arenas, Horace M. DeLisser, Ronpichai Chokesuwattanaskul
    PLOS ONE.2020; 15(11): e0241628.     CrossRef
  • Treatment of amphetamine abuse/use disorder: a systematic review of a recent health concern
    Mansour Khoramizadeh, Mohammad Effatpanah, Alireza Mostaghimi, Mehdi Rezaei, Alireza Mahjoub, Sara Shishehgar
    DARU Journal of Pharmaceutical Sciences.2019; 27(2): 743.     CrossRef
  • Racial/Ethnic Differences in Cardiometabolic Risk in a Community Sample of Sexual Minority Women
    Billy A. Caceres, Cindy B. Veldhuis, Tonda L. Hughes
    Health Equity.2019; 3(1): 350.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health
TOP