Psychometric Properties of the HADS Measure of Anxiety and Depression Among Multiple Sclerosis Patients in Croatia

Jerković, Ana; Proroković, Ana; Matijaca, Meri; Vuko, Jelena; Poljičanin, Ana; Mousley, Angela; Katić, Ana; Kosta, Vasiliki; Kustura, Lea; Dolić, Krešimir; Đogaš, Zoran; Vidaković, Maja Rogić

doi:10.3389/fpsyg.2021.794353

Cited by 14 publications

(9 citation statements)

References 52 publications

(116 reference statements)

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“…It also adds to the knowledge about PSQI in general by testing the models presented in previous reviews [ 24 , 26 ], including a new model of the bifactor structure, as well as exploring the measurement invariance between control subjects and pwMS. It would be recommended for future studies investigating sleep quality in pwMS to manage demographic, socioeconomic status, habits (i.e., smoking), physical activity, fatigue, anxiety, depression, quality of life, as well as cognitive aspects [ 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 ].…”

Section: Discussionmentioning

confidence: 99%

Psychometric Properties of the Pittsburgh Sleep Quality Index (PSQI) in Patients with Multiple Sclerosis: Factor Structure, Reliability, Correlates, and Discrimination

Jerković

Mikac

Matijaca

et al. 2022

JCM

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Sleep disturbances and poor sleep are a common complaint in the population with multiple sclerosis (MS) disease. The most commonly reported scale is the Pittsburgh Sleep Quality Index (PSQI), measuring seven components of sleep quality. Yet, till today, the PSQI instrument has not been validated in people with multiple sclerosis (pwMS). The objective of our study was to add precision in sleep quality assessment by investigating the psychometric properties of PSQI (factor structure, reliability, validity based on relations with other variables, cut-off scores) in pwMS. The cross-sectional study included data on a total of 87 patients with MS and 216 control subjects. Demographic information, education level, and MS-related variables were ascertained. Psychometric properties were examined by estimating the validity, including factor structure, metric invariance, and relations with other MS- and non-MS-related variables, reliability, and discrimination ability of the PSQI. The Croatian version of the PSQI had a two-factor structure which demonstrated loading and partial intercept invariance between pwMS and the control group. The global score and both subscales had high internal consistencies (McDonald’s omega and Cronbach’s alpha coefficients) in pwMS and showed expected relations with demographic and MS-related variables. PwMS differed significantly in the PSQI global score from the control groups, although receiver operating characteristics (ROC) curve analysis did not indicate a clear cut-off point. The PSQI is a reliable and valid scale and can be applied in clinical settings for assessing sleep quality in pwMS.

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Section: Discussionmentioning

confidence: 99%

Psychometric Properties of the Pittsburgh Sleep Quality Index (PSQI) in Patients with Multiple Sclerosis: Factor Structure, Reliability, Correlates, and Discrimination

Jerković

Mikac

Matijaca

et al. 2022

JCM

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“…Previous study has reported the Cronbach's alpha ranging from 0.82-0.83 for this scale. 36 Permission was sought for the use of the Indian-adapted Hindi version of the scale for this study. The Hindi version has been validated for Indian settings.…”

Section: Hospital Anxiety and Depression Scale (Hads)mentioning

confidence: 99%

Effect of Yoga on the Stress, Anxiety, and Depression of COVID-19-Positive Patients: A Quasi-Randomized Controlled Study

Sharma

Sahni

Sharma³

et al. 2022

International Journal of Yoga Therapy

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The spread of COVID-19 has resulted in reports of increase in stress, anxiety, and depression across society, especially in people who have tested positive for COVID-19, which affects their mental health and well-being. This article reports a quasi-randomized controlled study conducted in the COVID wards of a hospital to examine the efficacy of add-on yoga intervention in reducing stress, anxiety, and depression in COVID-affected patients under quarantine. The peripheral capillary oxygen saturation level and heart rate of the COVID-19-affected patients were also measured. A total of 62 COVID-19-positive patients participated in the study. The participants were randomized into a control group (n = 31), which received conventional medical treatment alone, and a yoga intervention group (n = 31), which received 50 minutes of yoga intervention along with the conventional medical treatment. Standardized Hospital Anxiety and Depression Scale, Generalized Anxiety Disorder–7 Item, Patient Health Questionnaire–9, and Perceived Stress Scale were administered at the beginning and end of the quarantine period. A significant decrease in stress, anxiety, and depression was observed in the patients who undertook the add-on yoga intervention. There was also a significant decrease in anxiety in the control group, but the intervention group had a larger decrease compared to the control group. Further significant improvements in oxygen saturation and heart rate levels were observed in the group of patients who were practicing yoga, but no significant improvement was observed in the control group. Findings of this study suggest that yoga intervention can be an effective add-on practice in reducing stress, anxiety, and depression levels of COVID-19 patients.

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“…The Fatigue Severity Scale (FSS) standard questionnaire was used to categorize patients into those with or without fatigue. The total FSS was the sum of the nine questions and the average FSS was calculated by dividing this sum by nine [30]. An average score equal to or more than four was considered as a positive indicator of fatigue, similar to previous research in the P4O2 COVID study [26].…”

Section: Variables In This Studymentioning

confidence: 91%

Hemoglobin and Its Relationship with Fatigue in Long-COVID Patients Three to Six Months after SARS-CoV-2 Infection

Bazdar,

Bloemsma,

Baalbaki

et al. 2024

Biomedicines

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Background: While some long-term effects of COVID-19 are respiratory in nature, a non-respiratory effect gaining attention has been a decline in hemoglobin, potentially mediated by inflammatory processes. In this study, we examined the correlations between hemoglobin levels and inflammatory biomarkers and evaluated the association between hemoglobin and fatigue in a cohort of Long-COVID patients. Methods: This prospective cohort study in the Netherlands evaluated 95 (mostly hospitalized) patients, aged 40–65 years, 3–6 months post SARS-CoV-2 infection, examining their venous hemoglobin concentration, anemia (hemoglobin < 7.5 mmol/L in women and <8.5 mmol/L in men), inflammatory blood biomarkers, average FSS (Fatigue Severity Score), demographics, and clinical features. Follow-up hemoglobin was compared against hemoglobin during acute infection. Spearman correlation was used for assessing the relationship between hemoglobin concentrations and inflammatory biomarkers, and the association between hemoglobin and fatigue was examined using logistic regression. Results: In total, 11 (16.4%) participants were suffering from anemia 3–6 months after SARS-CoV-2 infection. The mean hemoglobin value increased by 0.3 mmol/L 3–6 months after infection compared to the hemoglobin during the acute phase (p-value = 0.003). Whilst logistic regression showed that a 1 mmol/L greater increase in hemoglobin is related to a decrease in experiencing fatigue in Long-COVID patients (adjusted OR 0.38 [95%CI 0.13–1.09]), we observed no correlations between hemoglobin and any of the inflammatory biomarkers examined. Conclusion: Our results indicate that hemoglobin impairment might play a role in developing Long-COVID fatigue. Further investigation is necessary to identify the precise mechanism causing hemoglobin alteration in these patients.

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Psychometric Properties of the HADS Measure of Anxiety and Depression Among Multiple Sclerosis Patients in Croatia

Cited by 14 publications

References 52 publications

Psychometric Properties of the Pittsburgh Sleep Quality Index (PSQI) in Patients with Multiple Sclerosis: Factor Structure, Reliability, Correlates, and Discrimination

Psychometric Properties of the Pittsburgh Sleep Quality Index (PSQI) in Patients with Multiple Sclerosis: Factor Structure, Reliability, Correlates, and Discrimination

Effect of Yoga on the Stress, Anxiety, and Depression of COVID-19-Positive Patients: A Quasi-Randomized Controlled Study

Hemoglobin and Its Relationship with Fatigue in Long-COVID Patients Three to Six Months after SARS-CoV-2 Infection

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