Mental health literacy and COVID-19 related stress: The mediating role of healthy lifestyle in Tabriz

Fakhari, Ali; Shalchi, Behzad; Rahimi, Vahab Asle; Naghdi Sadeh, Reza; Lak, Elnaz; Najafi, Atieh; Shayeghanmehr, Aref

doi:10.1016/j.heliyon.2023.e18152

Cited by 7 publications

(2 citation statements)

References 44 publications

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“…A previous study also showed that COVID-19 profoundly affects anxiety levels, impacting patients' psychological wellbeing ( 54 ). A study from China observed that enhancing D-Lit during the pandemic reduced depression, ( 55 ) while another study noted that MHL was negatively correlated with stress and positively correlated with psychological health during the COVID-19 pandemic ( 56 ). Therefore, adequate MHL can not only support individuals in critical situations but also play a crucial role in preventing mental disorders.…”

Section: Discussionmentioning

confidence: 99%

Depression literacy, mental health literacy, and their relationship with psychological status and quality of life in patients with type 2 diabetes mellitus

Jafari,

Moshki,

Naddafi

et al. 2024

Front. Public Health

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BackgroundThis study was conducted to measure depression literacy (D-Lit) and mental health literacy (MHL) and to investigate their relationship with psychological status and quality of life among Iranian patients with type 2 diabetes mellitus (T2DM).MethodsThis cross-sectional study was conducted in 2021 among 400 patients with T2DM in Iran. Samples were selected using proportional stratified sampling. Data collection tools comprised a demographic questionnaire, measures of MHL and D-Lit, the diabetes quality of life (DQOL) scale, and the DASS-21. After confirming the normality of the data using the Kolmogorov-Smirnov test, parametric statistical tests (such as one-way ANOVA, independent samples t-test, and Chi-Square) were used to investigate the relationship between the variables using SPSS v22 software. The results of continuous quantitative data are reported in the form of means and standard deviations, and qualitative data are reported in the form of absolute and relative frequencies.ResultsIn this study, 10.25% of the participants (n = 41) had severe depression, while 36.75% (n = 147) experienced severe anxiety. The mean (standard deviation) of MHL was 80.92 (9.16) from 130 points. Of the participants, only 1.7% (n = 7) did not answer any questions correctly on the D-lit scale, and only 5.8% (n = 23) were able to answer 15 questions or more correctly on the D-lit. MHL had a significant negative correlation with depression (r = −0.236), anxiety (r = −0.243), and stress (r = −0.155) (P < 0.001). There was a positive and significant correlation between MHL and D-Lit (r = 0.186) (P < 0.001). D-Lit had a significant negative correlation with depression (r = −0.192), anxiety (r = −0.238), and stress (r = −0.156) (P < 0.001). There was a positive and significant correlation between the ability to recognize disorders (r = 0.163), knowledge of self-treatment (r = 0.154), and DQOL (P < 0.001). Depression (r = −0.251), anxiety (r = −0.257), and stress (r = −0.203) had a significant negative correlation with DQOL (P < 0.001).ConclusionMHL and D-Lit levels were found to be inadequate in patients with T2DM. These low levels of MHL and D-Lit among patients with T2DM were associated with higher levels of anxiety, depression, and stress, as well as a lower quality of life. Therefore, designing and implementing preventive programs to improve the mental health of patients with T2DM can help prevent mental disorders and ultimately improve their quality of life.

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Section: Discussionmentioning

confidence: 99%

Depression literacy, mental health literacy, and their relationship with psychological status and quality of life in patients with type 2 diabetes mellitus

Jafari,

Moshki,

Naddafi

et al. 2024

Front. Public Health

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“…The mental performance was greatly affected by the coronavirus disease 2019 (COVID-19) pandemic, especially that of seniors. [37][38][39][40] To reduce social isolation, using virtual programs about social services and other online programs was reported to increase the QoL of older adults. [41][42][43] A decrease in family communication and the fear of disease spread caused a rise in emotional loneliness.…”

Section: Discussionmentioning

confidence: 99%

Features Influencing Older Adults’ Quality of Life and Their Association With Loneliness and Activities of Daily Living: A Cross-sectional Study in Iran

Rostami,

Abbasian,

Sarbazi

et al. 2023

Int J Aging

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Objectives: This study was conducted to assess the features that affect the quality of life (QoL) of older adults and how they are linked to their ability to perform activities of daily living (ADL) and feelings of loneliness. Design: A random sampling method was employed for this cross-sectional study. Setting (s): Tabriz, East Azerbaijan, Iran. Participants: Home-dwelling older adults. Outcome measures: Data collection tools included the SF-12 QoL, ADL, Loneliness Scale, and demographic information. Relationships between loneliness, ADL, and QoL were examined using a multiple linear regression model by means of the backward method. Results: On average, the age of the participants was 67.71 years with a standard deviation (SD) of 7.13 years. Of all these older adults, 209 (67%) were aged 60-69 years, 270 (86%) were married, and 155 (49.4%) had elementary education. Mean±SD for the physical and mental components of QoL were obtained at 49.35±9.45 and 48.38±11.65, respectively. Emotional loneliness had a significant reversed association (β=-0.38, P<0.01) with Mental Component Summary (MCS), while social loneliness had a significant positive association (β=0.27, P=0.03) with MCS. Furthermore, dependent ADL had a negative correlation (β=-0.23; P<0.01) with Physical Component Summary (PCS). Moreover, age, gender, and educational status had a statistically significant relationship with QoL. Conclusions: Given the significant negative impact of loneliness and low ADL scores, it is imperative to develop efficient interventions and modify existing procedures to improve the QoL for older people. Individual-level interventions and societal-level interventions need to be developed and applied among this population. Additionally, national health policymakers may prioritize loneliness as a significant concern for public health.

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Quality of Life and Socioeconomic Status in Northwest of Iran: First Wave of the Persian Traffic Cohort Study

Davtalab Esmaeili,

Golestani,

Yazdani

et al. 2024

J of Prevention

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Mental health literacy and COVID-19 related stress: The mediating role of healthy lifestyle in Tabriz

Cited by 7 publications

References 44 publications

Depression literacy, mental health literacy, and their relationship with psychological status and quality of life in patients with type 2 diabetes mellitus

Depression literacy, mental health literacy, and their relationship with psychological status and quality of life in patients with type 2 diabetes mellitus

Features Influencing Older Adults’ Quality of Life and Their Association With Loneliness and Activities of Daily Living: A Cross-sectional Study in Iran

Quality of Life and Socioeconomic Status in Northwest of Iran: First Wave of the Persian Traffic Cohort Study

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