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Ratih Puspita Febrinasari 2 Articles
Health-related Quality of Life of Patients With Diabetes Mellitus Measured With the Bahasa Indonesia Version of EQ-5D in Primary Care Settings in Indonesia
Muhammad Husen Prabowo, Ratih Puspita Febrinasari, Eti Poncorini Pamungkasari, Yodi Mahendradhata, Anni-Maria Pulkki-Brännström, Ari Probandari
J Prev Med Public Health. 2023;56(5):467-474.   Published online September 26, 2023
DOI: https://doi.org/10.3961/jpmph.23.229
  • 1,851 View
  • 113 Download
  • 1 Crossref
AbstractAbstract AbstractSummary PDF
Objectives
Diabetes mellitus (DM) is a serious public health issue that places a heavy financial, social, and health-related burden on individuals, families, and healthcare systems. Self-reported health-related quality of life (HRQoL) is extensively used for monitoring the general population’s health conditions and measuring the effectiveness of interventions. Therefore, this study investigated HRQoL and associated factors among patients with type 2 DM at a primary healthcare center in Indonesia.
Methods
A cross-sectional study was conducted in Klaten District, Central Java, Indonesia, from May 2019 to July 2019. In total, 260 patients with DM registered with National Health Insurance were interviewed. HRQoL was measured with the EuroQol Group’s validated Bahasa Indonesia version of the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) with the Indonesian value set. Multivariate regression models were used to identify factors influencing HRQoL.
Results
Data from 24 patients were excluded due to incomplete information. Most participants were men (60.6%), were aged above 50 years (91.5%), had less than a senior high school education (75.0%), and were unemployed (85.6%). The most frequent health problems were reported for the pain/discomfort dimension (64.0%) followed by anxiety (28.4%), mobility (17.8%), usual activities (10.6%), and self-care (6.8%). The average EuroQoL 5-Dimension (EQ-5D) index score was 0.86 (95% confidence interval [CI], 0.83 to 0.88). In the multivariate ordinal regression model, a higher education level (coefficient, 0.08; 95% CI, 0.02 to 0.14) was a significant predictor of the EQ-5D-5L utility score.
Conclusions
Patients with diabetes had poorer EQ-5D-5L utility values than the general population. DM patients experienced pain/discomfort and anxiety. There was a substantial positive relationship between education level and HRQoL.
Summary
Key Message
This study examined Health-Related Quality of Life (HRQoL) in 260 type 2 diabetes patients in Indonesia. Most were male (60.6%), over 50 (91.5%), with low education (75%) and unemployed (85.6%). Pain/discomfort was the most common issue (64%), followed by anxiety (28.4%). The average HRQoL score was 0.86. Higher education positively impacted HRQoL. Diabetes patients face lower HRQoL compared to the general population, with notable issues in pain and anxiety. Education level significantly influences HRQoL. This highlights the importance of education in improving the well-being of diabetes patients in Indonesia.

Citations

Citations to this article as recorded by  
  • Genetic CYP2A6 Polymorphism May Worsen Glycohemoglobin Levels: Study among Javanese Indonesian Smokers
    Christine Patramurti, Dita Maria Virginia
    Borneo Journal of Pharmacy.2024; 7(1): 29.     CrossRef
Low Social Support and Risk for Depression in People With Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis
Akhmad Azmiardi, Bhisma Murti, Ratih Puspita Febrinasari, Didik Gunawan Tamtomo
J Prev Med Public Health. 2022;55(1):37-48.   Published online January 10, 2022
DOI: https://doi.org/10.3961/jpmph.21.490
  • 5,879 View
  • 222 Download
  • 14 Web of Science
  • 15 Crossref
AbstractAbstract PDF
Objectives
Depression is a frequent complication of type 2 diabetes mellitus. This study aimed to investigate the relationship between low social support and risk for depression in people with type 2 diabetes through a meta-analysis.
Methods
PubMed, ProQuest, SpringerLink, ScienceDirect, Scopus, the Cochrane Library, Embase, and Google Scholar were searched for English-language articles published up to 2021. Pooled adjusted odds ratios (aORs) were calculated using a random-effect model with 95% confidence intervals (CIs). Heterogeneity was evaluated by using the Cochrane Q test and I2 statistics. The risk of publication bias was estimated using a funnel plot, the Egger test, and the Begg test. The Joanna Briggs Institute Critical Appraisal Tools were used to assess the quality of evidence and the risk of bias.
Results
Eleven studies were included in this meta-analysis, containing a total of 3151 people with type 2 diabetes mellitus. The pooled analysis showed that people with type 2 diabetes mellitus who had low social support had twice as high a risk of depression as those with high social support (aOR, 2.02; 95% CI, 1.51 to 2.70; p<0.001). A random-effect model was used because the heterogeneity was high (I2= 87%).
Conclusions
Low social support was found to increase the risk of depression among people with type 2 diabetes mellitus. Further investigation into factors that may moderate this relationship is required.
Summary

Citations

Citations to this article as recorded by  
  • Depression prevalence, screening, and treatment in adult outpatients with type 1 and type 2 diabetes: A nationally representative cross-sectional study (National Ambulatory Medical Care Survey 2014–2019)
    Angela Chieh, Jeremy Chu, Lauren A. Wallace, Li Li, Rongbing Xie
    Journal of Affective Disorders.2025; 368: 471.     CrossRef
  • Staying connected: An umbrella review of meta-analyses on the push-and-pull of social connection in depression
    Luisa De Risio, Mauro Pettorruso, Rebecca Collevecchio, Barbara Collacchi, Marta Boffa, Mario Santorelli, Massimo Clerici, Giovanni Martinotti, Francesca Zoratto, Marta Borgi
    Journal of Affective Disorders.2024; 345: 358.     CrossRef
  • The risk factors for mental health disorders in patients with type 2 diabetes: An umbrella review of systematic reviews with and without meta-analysis
    Amani Busili, Kanta Kumar, Laura Kudrna, Idris Busaily
    Heliyon.2024; 10(7): e28782.     CrossRef
  • Distress and Coping Strategy among Indonesian Men with Type-2 Diabetes Mellitus
    Fajar Ari Nugroho, Rico Budhiarta Chandra, Nike Laila, Sera Rukia, Inggita Kusumastuty, Anggun Rindang Cempaka, Lola Ayu Istifiani, Atifa Nafia Hasantie Latif
    Nurse Media Journal of Nursing.2024;[Epub]     CrossRef
  • Is the change in longitudinal cognitive function in older adults with diabetes affected by trajectory classes of depressive symptoms?
    Gyeong A Kang, Ju Young Yoon
    Public Health Nursing.2024; 41(5): 1006.     CrossRef
  • Exploring the interconnectedness of depression, anxiety, diabetes distress, and related psychosocial factors in adults with type 2 diabetes: A network analysis
    Wanting Zu, Fei Li, Xiaoxuan Ma, Shiyun Zhang, Wenbo Nie, Lisheng Wang
    Journal of Contextual Behavioral Science.2024; 34: 100843.     CrossRef
  • Exploring the association of social connections and food security among adults with uncontrolled type 2 diabetes: a population-based study
    Ramona S. DeJesus, Jessica A. Grimm, Chun Fan, Jennifer St. Sauver
    Journal of Health, Population and Nutrition.2024;[Epub]     CrossRef
  • Effectiveness of social support-based interventions in preventing depression in people without clinical depression: A systematic review and meta-analysis of randomized controlled trials
    Henar Campos-Paíno, Patricia Moreno-Peral, Irene Gómez-Gómez, Sonia Conejo-Cerón, Santiago Galán, Sara Reyes-Martín, Juan Ángel Bellón
    International Journal of Social Psychiatry.2023; 69(2): 253.     CrossRef
  • Individuelle Behandlung bei Glaukompatienten mit einem Diabetes mellitus
    Jan Luebke
    Klinische Monatsblätter für Augenheilkunde.2023; 240(02): 142.     CrossRef
  • Prevalence of comorbid depression and associated factors among hospitalized patients with type 2 diabetes mellitus in Hunan, China
    Rehanguli Maimaitituerxun, Wenhang Chen, Jingsha Xiang, Atipatsa C. Kaminga, Xin Yin Wu, Letao Chen, Jianzhou Yang, Aizhong Liu, Wenjie Dai
    BMC Psychiatry.2023;[Epub]     CrossRef
  • The prevalence and predictors of depression and disability in older adults and elderly patients with Diabetes in India: Cross-sectional analysis from the Longitudinal Study on Ageing
    Baani Sodhi, Mansi Malik, Paras Agarwal, Saurav Basu
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2023; 17(4): 102765.     CrossRef
  • Depression and determinants among diabetes mellitus patients in Ethiopia, a systematic review and meta-analysis
    Kirubel Dagnaw Tegegne, Natnael Atnafu Gebeyehu, Mesfin Wudu Kassaw
    BMC Psychiatry.2023;[Epub]     CrossRef
  • Individuelle Behandlung bei Glaukompatienten mit einem Diabetes mellitus
    Jan Lübke
    Diabetes aktuell.2023; 21(02): 68.     CrossRef
  • Diabetes and Mental Health
    David J. Robinson, Kimberley Hanson, Akshay B. Jain, Jessica C. Kichler, Gaurav Mehta, Osnat C. Melamed, Michael Vallis, Harpreet S. Bajaj, Tracy Barnes, Jeremy Gilbert, Kristin Honshorst, Robyn Houlden, James Kim, Joanne Lewis, Barbara MacDonald, Dylan M
    Canadian Journal of Diabetes.2023; 47(4): 308.     CrossRef
  • The association between screen time and depression symptoms severity among adults with diabetes: A cross-sectional study
    Layan Sukik, Bushra Hoque, Linda Boutefnouchet, Mohamed Elhadary, Hiba Bawadi, Mujahed Shraim
    Primary Care Diabetes.2023; 17(6): 619.     CrossRef

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