Association of depression, stress, and anxiety with type 2 diabetes mellitus: A case-control study

Jayaprasad, Niniya; Bhatkule, Prakash R; Narlawar, Uday

doi:10.5455/ijmsph.2018.0103127012018

Cited by 4 publications

(1 citation statement)

References 12 publications

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“…Based on path analysis, the results of this study show that stress has a direct effect on the incidence of type 2 DM (b=0.892; 95% CI=0.149-1.636; p=0.019). This is relevant to the research conducted by Jayaprasad et al, (2018) in each sample of 100 diabetics and nondiabetics in India which showed that there was a statistically significant relationship between stress and the risk of developing type 2 DM (AOR=6.71; 95% CI=3.56-12.63; p<0.001). The study also found that there was a linear and positive relationship between the risk of type 2 DM and stress severity.…”

Section: Discussionmentioning

confidence: 89%

Path Analysis on the Effect of Stress, Sleep Quality, and Hypertension on Type 2 Diabetes Mellitus Incidence in the 30–60 years Age Group in Medan City

Banjarnahor,

Siregar,

Asfriyati

2023

Contagion

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Non-communicable diseases are still the leading cause of death worldwide, affecting not only the elderly but also the productive age group. Type 2 diabetes mellitus (DM) is one of the non-communicable diseases whose prevalence continues to rise, including in Indonesia. North Sumatra Province also experienced an increase in DM prevalence, with the highest number of cases in Medan City. The development of type 2 DM is a complex process and is associated with several risk factors, one of which is psychological stress. This study aims to analyze the effect of stress on the incidence of type 2 DM in the 30-60 years age group in Medan City directly and indirectly through sleep quality and hypertension. The research method used a case control design with a sample size of 68 cases and controls each. Data analysis was carried out univariately and multivariately using a path analysis model. The results showed that there is a direct effect between stress (b=0.892; 95% CI=0.149-1.636; p=0.019) on the incidence of type 2 DM in the 30 -60 years age group in Medan City. Stress increases the risk of type 2 DM indirectly through poor sleep quality (b=0.886; 95% CI=0.188-1.583; p=0.013) and hypertension (b=0.859; 95% CI=0.117-1.602; p= 0.023). In addition, sleep quality (b=0.820; 95% CI=0.076-1.565; p=0.031) and hypertension (b=1.046; 95% CI=0.249-1.841; p=0.010) also have a direct effect on type 2 DM. Avoiding and managing stress, getting enough and regular sleep, and controlling blood pressure can help prevent type 2 DM.Keyword: Hypertension, Sleep Quality, Stress, Type 2 Diabetes Mellitus

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Section: Discussionmentioning

confidence: 89%

Path Analysis on the Effect of Stress, Sleep Quality, and Hypertension on Type 2 Diabetes Mellitus Incidence in the 30–60 years Age Group in Medan City

Banjarnahor,

Siregar,

Asfriyati

2023

Contagion

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Patients’ perceptions, associations, and justifications for the causes of diabetes in North-East Ethiopia: A qualitative study

Bayked

Kahissay

Workneh

2022

Diabetes & Metabolic Syndrome: Clinical Research & Revi

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The Effects of Meditation with a Biofeedback Program on Stress and Depression Levels among People with Mild Depression Diabetes

Patarathipakorn¹,

Ruchiwit²,

Smith³

2021

TOPHJ

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Background: The increased amount of depression among people with diabetes is a burden on society. Biofeedback and meditation can impact the self-regulation of this group. Objective: This study aims to study the effect of combining meditation with a biofeedback training program on the stress and depression among diabetes people with mild depression. Methods: This study is based on a randomized controlled trial approach. One hundred two participants were divided into three groups of 34 participants each, involving meditation, a combination of meditation and Skin Conductance (SC) with Skin Temperature (ST) biofeedback, and a control group. All three groups received routine nursing. Measurements were made using the Symptoms of Stress Inventory (SOSI) and the Beck Depression Inventory (BDI). Data were analyzed using frequency, percentage, mean, standard deviation, and MANOVA and MANCOVA. The duration of the study was from June 2018 to October 2019. Results: There were statistically significant differences in stress and depression among the three groups. Those receiving both meditation and biofeedback had the greatest reduction in the linear combination of stress and depression. Accordingly, the biofeedback program is a program that is capable of helping people learn how to relax, as biofeedback instruments feed information back to people through on-screen visual signals, thus enabling them to learn about their progress and success. Conclusion: In summary, a combination of meditation and SC and ST biofeedback can reduce stress and depression in people with mild depression diabetes.

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Association of depression, stress, and anxiety with type 2 diabetes mellitus: A case-control study

Cited by 4 publications

References 12 publications

Path Analysis on the Effect of Stress, Sleep Quality, and Hypertension on Type 2 Diabetes Mellitus Incidence in the 30–60 years Age Group in Medan City

Path Analysis on the Effect of Stress, Sleep Quality, and Hypertension on Type 2 Diabetes Mellitus Incidence in the 30–60 years Age Group in Medan City

Patients’ perceptions, associations, and justifications for the causes of diabetes in North-East Ethiopia: A qualitative study

The Effects of Meditation with a Biofeedback Program on Stress and Depression Levels among People with Mild Depression Diabetes

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