Depression, anxiety, and associated factors in patients with diabetes: evidence from the anxiety, depression, and personality traits in diabetes mellitus (ADAPT-DM) study

Woon, Luke Sy-Cherng; Sidi, Hatta; Ravindran, Arun; Gosse, Paula Junggar; Mainland, Roslyn Laurie; Kaunismaa, Emily Samantha; Hatta, Nurul Hazwani; Arnawati, Puteri; Zulkifli, Amelia Yasmin; Mustafa, Norlaila; Abdullah, Mohammad Farris Iman Leong Bin

doi:10.1186/s12888-020-02615-y

Cited by 36 publications

(21 citation statements)

References 38 publications

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“…Chinese adults, which indicated that the prevalence of depression with comorbid anxiety was 19.4% (Gao et al, 2020). The association between higher psychological QoL and lower odds of depression with comorbid anxiety was also well supported by similar ndings reported by other studies of the relationship between psychological QoL and depression and anxiety (Olusina and Ohaeri, 2003;Shumye et al, 2019;Woon et al, 2020).…”

Section: Discussionsupporting

confidence: 80%

Depression and anxiety in the Malaysian urban population and their association with demographic characteristics, quality of life, and the emergence of the COVID-19 pandemic

Abdullah

Yusof

Shariff

et al. 2020

Preprint

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The prevalence of depression and anxiety have been shown to be higher in the urban population compared with the rural population. The present study investigated the prevalence of depression, anxiety, and depression with comorbid anxiety and their associated factors in a random sample drawn from several urban communities in Malaysia. This study also compared the odds of developing depression, anxiety, and depression with comorbid anxiety before and after the emergence of the Coronavirus Disease 2019 (COVID-19) pandemic. We recruited 326 participants who were administered a sociodemographic characteristics questionnaire, the 21-item Depression, Anxiety, and Stress Scale (DASS-21), to assess the presence or absence of depression, anxiety, and depression with comorbid anxiety, and the World Health Organization Quality of Life-BREF (WHOQoL-BREF) to assess their QoL. The following prevalence values were obtained among the participants: depression, 23.9%; anxiety, 41.7%; and depression with comorbid anxiety, 19.9%. The factors significantly associated with higher odds of psychological complications included those assessed after the emergence of COVID-19 as a global pandemic and the presence of comorbid stress. Higher physical health-related QoL, psychological QoL, and environment-related QoL reduced the odds of psychological complications. Based on our findings, we recommended a few measures to curb psychological complications among the urban population, particularly as the battle to contain COVID-19 is still ongoing.

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Section: Discussionsupporting

confidence: 80%

Depression and anxiety in the Malaysian urban population and their association with demographic characteristics, quality of life, and the emergence of the COVID-19 pandemic

Abdullah

Yusof

Shariff

et al. 2020

Preprint

Self Cite

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“…Generalized anxiety disorder has been found to play a great role as one of the triggers of depression. These data were consistent with studies reporting about a significant overlap between anxiety and depression and that depression-anxiety comorbidity was always common [25][26][27].…”

Section: Discussionsupporting

confidence: 91%

“…Similar results were found in the literature. A number of authors determined that smoking did not affect depression [27,37]. Similarly, according to some studies, family type and smoking status were not involved in developing depression [38,39].…”

Section: Discussionmentioning

confidence: 99%

Investigating the Factors Affecting Depression By Using Structural Equation Modeling

et al. 2021

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The objective of the research was to study the factors affecting depression in general population. Materials and Methods. A total of 1,291 individuals at the age of 15-68 years participated in this cross-sectional study. The Demographic Information Form, the Beck Depression Inventory for Primary Care and the Generalized Anxiety Disorder Scale were used as data collection tools. The data obtained were evaluated in the SPSS 23 package program. Missing data were validated for extreme values, and, then, tested for normality and homogeneity. Testing for the research model was implemented by structural equation modeling using the AMOS program. Results. The following goodness-of-fit values were determined for the revised model predicting the factors influencing depression: χ2 = 535.62, χ2/df = 4.74, the normed fit index = 0.95, the Tucker-Lewis index = 0.95, the comparative fit index = 0.96, the goodness-of-fit index = 0.95, the adjusted goodness-of-fit index = 0.94, the root-mean-square error of approximation = 0.05, the root mean square residual = 0.12, which were within acceptable limits. According to our model, the generalized anxiety disorder-7 (t = 15.923; p < 0.001), gender (t = -5.866; p < 0.001), age (t = -8.193; p < 0.001) and marital status (t = -6.107; p < 0.001) had a significant effect on depression. However, there was no significant relationship between depression score and educational status, place of residence, family type, and smoking. Conclusions. In this model of our study, generalized anxiety disorder was found to have the greatest effect on depression, followed by age, marital status, and gender, respectively.

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“…The psychological state of patients requiring corrective surgery is an important factor in good surgical outcome (8). However, because surgery is an invasive treatment, there are many factors influencing the efficacy of surgery, the occurrence of complications, and the recovery time, all of which can affect the psychological reaction of the patient (9).…”

Section: Discussionmentioning

confidence: 99%

Perioperative treatment compliance, anxiety and depression of elderly patients with ophthalmic surgery and the influential factors

Wang¹,

Zhang²,

Sun³

et al. 2021

Ann Palliat Med

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Background: Ophthalmic surgery is invasive, and treatment efficacy is affected by a variety of factors. We aimed to analyze perioperative treatment compliance, anxiety and depression of elderly patients undergoing ophthalmic surgery and the influential factors. Methods:The study group comprised 119 elderly patients undergoing ophthalmic surgery between March 2018 and March 2020. Clinical and treatment compliance data of all patients were collected. The self-rating anxiety scale (SAS) and self-rating depression scale (SDS) were administered to all patients, and logistic regression analysis was used for multivariate analysis.Results: During the perioperative period the 119 elderly patients had a mean SAS score of 65.13±14.36, and SDS score of 61.94±17.39. Treatment compliance was as follows: 76 cases of complete compliance, 25 of incomplete compliance, and 18 of complete non-compliance. Economic status, complications, treatment options and levels of TNF-α, IL-6, and IL-8 are independent risk factors that affected the compliance of elderly patients undergoing ophthalmology surgery (P<0.05). Education level, marital status, economic status, complications, treatment options and levels of TNF-α, IL-6, and IL-8 were independent risk factors affecting perioperative anxiety and depression.Conclusions: There are many factors affecting the perioperative treatment compliance, anxiety and depression of elderly patients undergoing ophthalmic surgery. Effective intervention measures should be taken to improve patients' compliance, reduce their negative emotions, and improve the surgical efficacy.

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Depression, anxiety, and associated factors in patients with diabetes: evidence from the anxiety, depression, and personality traits in diabetes mellitus (ADAPT-DM) study

Cited by 36 publications

References 38 publications

Depression and anxiety in the Malaysian urban population and their association with demographic characteristics, quality of life, and the emergence of the COVID-19 pandemic

Depression and anxiety in the Malaysian urban population and their association with demographic characteristics, quality of life, and the emergence of the COVID-19 pandemic

Investigating the Factors Affecting Depression By Using Structural Equation Modeling

Perioperative treatment compliance, anxiety and depression of elderly patients with ophthalmic surgery and the influential factors

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