Predictors of diabetes distress in patients with type 2 diabetes mellitus

Islam, Mohammad Rashedul; Islam, Mohammad Shafiqul; Karim, Mohammad Rizwanul; Alam, Ummul Khair; Yesmin, Khadiza

doi:10.5455/2320-6012.ijrms20140549

Cited by 17 publications

(21 citation statements)

References 12 publications

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“…The prevalence of DD (mean DDS score ≥3) was found to be 19.6% as compared to other studies, which was in the range of 18%–25%. [ 5 6 8 ]…”

Section: Discussionmentioning

confidence: 99%

“…and Wardian and Sun also showed similar findings of a significant association between age and DD. [ 6 10 ]…”

Section: Discussionmentioning

confidence: 99%

“…This sample size was calculated using EpI Info 7 software (Details: Epi Info™, Division of Health Informatics & Surveillance (DHIS), Center for Surveillance, Epidemiology and Laboratory Services (CSELS) Other details of software: NH City, Bangalore, Karnataka, India). The prevalence was taken as 18% based on estimates in previous studies,[ 5 6 7 8 ] with 5% absolute error, and considering nonresponse rate of 10% patients to be nonrespondents.…”

Section: Aterials and M Ethodsmentioning

confidence: 99%

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Identifying the burden and predictors of diabetes distress among adult Type 2 diabetes mellitus patients

Ratnesh¹,

Shivaprasad²,

Kannan³

et al. 2020

Indian J Community Med

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Background: Diabetes is a psychologically challenging medical condition. Diabetes distress (DD) refers to the unique, often hidden emotional burdens and worries that the patient experiences when managing diabetes. Objective: The objective of the study was to find the burden and identify the predictors of DD in adult Type 2 diabetes mellitus (T2DM) patients. Materials and Methods: Two hundred and fifty T2DM patients were recruited for this study from the endocrine outpatient department from February to April 2019. DD was measured using the Diabetic Distress Scale. Results: The prevalence of DD was 19.6%. The risk of DD was 4.25 times more in those aged ≤45 years as compared to those aged >45 years. Patients with hemoglobin A1c (HbA1c) >8% had 8.8 times more DD. Patients on insulin had more DD (5.4 times) as compared to patients who were on oral antidiabetic drugs. Patients with a history of treatment interruption had 11 times more risk of DD as compared to patients who did not. Conclusions: DD was found to be high among patients aged ≤45 years, illiterates, patients on insulin, patients with a history of treatment interruption, and those with HbA1c >8%. Patients with high DD were found to have higher HbA1c levels.

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“…The prevalence of DD (mean DDS score ≥3) was found to be 19.6% as compared to other studies, which was in the range of 18%–25%. [ 5 6 8 ]…”

Section: Discussionmentioning

confidence: 99%

“…and Wardian and Sun also showed similar findings of a significant association between age and DD. [ 6 10 ]…”

Section: Discussionmentioning

confidence: 99%

Section: Aterials and M Ethodsmentioning

confidence: 99%

See 1 more Smart Citation

Identifying the burden and predictors of diabetes distress among adult Type 2 diabetes mellitus patients

Ratnesh¹,

Shivaprasad²,

Kannan³

et al. 2020

Indian J Community Med

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show abstract

“…Previous research concerning the status of diabetic distress revealed similar and consistent findings. [22][23][24][25][26] For instance, in a study carried out by Islam et al 22 on the adult Type 2 diabetic patients, 51.5% had little or no distress, but 26.1% had moderate distress and 22.4% had high distress. Furthermore, the findings of this study is supported by Fisher et al 9 They found that the prevalence of high diabetes distress among Type 2 diabetic patients is 18% to 35%.…”

Section: Discussionmentioning

confidence: 99%

Diabetic Distress Among Diabetic Patients in the Referral Hospital of Amhara Regional State, Ethiopia

Wolde

Wondim

2019

Int Q Community Health Educ

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The main purpose of this study was to assess the status of diabetic distress among diabetic patients of referral hospitals in Amhara Regional State. Hospital-based cross-sectional survey was conducted on 346 participants. The participants of the study were selected using both probability and nonprobability sampling techniques. The instrument of the study was adapted and contextualized to the Ethiopian context to avoid cultural conflicts, and then it was rated and piloted. Both descriptive and inferential techniques were used to analyze the data. The cut-off for low, moderate, and high distress level was <2, 2–2.9, and ≥3, respectively. From a total of 346 sample patients, 54 (15.6%) had experienced no or little distress (1.54 ± .28), 162 (46.8%) had moderate distress (2.78 ± .82), and 130 (37.6%) had experienced high distress (3.94 ± .62). Statistically significant difference was observed in the level of diabetic distress with respect to age, F(2, 343) = 4.336, p < .05; marital status, F(2, 343) = 4.590, p < .05; educational status, F(5, 340) = 2.831, p < .05; and having habits of planned physical exercise, F(3, 245) = 2.911, p < .05. Statistically significant difference was not observed for sex, smoking habits, an experience of living with diabetics, and occupational status. The result of regression analysis shows that the independent variable altogether accounted for only 4.2% of the variance of diabetic distress. Diabetic distress was a serious psychological problem among diabetic patients in the referral hospitals of Amhara Region.

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“…Reaksi personal seperti merasa takut, marah atau perasaan bahwa diabetes merubah pola kehidupannya (Pranata, 2016), serta perasaan marah karena diabetes membuat aktivitasnya menjadi terbatas (Arifin et al, 2017). Beban emosional dianggap sebagai domain yang paling penting dalam mengukus distress diabetes (Islam et al, 2014).…”

Section: Hasil Dan Pembahasanunclassified

Komorbiditas, komplikasi dan kejadian distress pasien diabetes tipe-2

Anita¹

2020

JKK

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Tujuan penelitian ini menganalisis hubungan komorbiditas dan komplikasi dengan distress diabetes tipe-2. Metode penelitian adalah kuantitatif korelasi. Sampel diambil dengan metode accidental sampling selama 3 bulan pada pasien yang dirawat inap di Rumah Sakit X Yogyakarta dan Rumah Sakit Y Bantul. Analisis data menggunakan uji bivariat Chi Square dan uji multivariate regresi logistic ordinal. Hasil dalam penelitian 63,6% responden memiliki komorbiditas; 50,0% responden memiliki komplikasi; sebanyak 50,0% responden memiliki distres ringan, 43,2% responden memiliki distres sedang, dan 6,8% memiliki distres berat. Hasil uji Chi Square diperoleh p value komorbiditas 0,031 dan komplikasi 0,010 (P<0,05). Hasil uji regresi logistic ordinal bahwa komplikasi memiliki pengaruh terhadap kejadian diabetess distress dengan risiko 6,094 kali.

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Predictors of diabetes distress in patients with type 2 diabetes mellitus

Cited by 17 publications

References 12 publications

Identifying the burden and predictors of diabetes distress among adult Type 2 diabetes mellitus patients

Identifying the burden and predictors of diabetes distress among adult Type 2 diabetes mellitus patients

Diabetic Distress Among Diabetic Patients in the Referral Hospital of Amhara Regional State, Ethiopia

Komorbiditas, komplikasi dan kejadian distress pasien diabetes tipe-2

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