Effect of gender and clinical-financial vulnerability on mental distress due to COVID-19

Simha, Aditya; Prasad, Ramakrishna; Ahmed, Sana; Rao, Naren P.

doi:10.1007/s00737-020-01097-x

Cited by 21 publications

(26 citation statements)

References 13 publications

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“…The research on mental health in the COVID-19 pandemic has focused on demographic characteristics as predictors [ 22 , 23 , 24 ]. For example, gender [ 25 , 26 , 27 ], age [ 28 ], education [ 29 ], occupation [ 30 ], and number of children [ 31 ] have been the key predictors. Based on the existing research, we examined the key demographic factors such as gender, age, education, occupation, and number of children as the predictors in this study.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, we examined exercise and the presence of chronic diseases as predictors of mental health under the COVID-19 pandemic. Of the COVID-19 specific factors, the emerging literature on COVID-19 mental health has uncovered that the occurrence of symptoms related to or similar to COVID-19 increases individuals’ psychological risk [ 33 ], and information on COVID-19 on the internet is an important predictor of people’s fear or panic over COVID-19 [ 26 ]. Therefore, we include the symptoms of COVID-19 infection and the hours per day spent browsing COVID-19 information online as COVID-19-related predictors in this study.…”

Section: Introductionmentioning

confidence: 99%

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Predictors of Depression and Anxiety Symptoms in Brazil during COVID-19

Zhang

Huang

et al. 2021

IJERPH

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The COVID-19 pandemic in Brazil is extremely severe, and Brazil has the third-highest number of cases in the world. The goal of the study is to identify the prevalence rates and several predictors of depression and anxiety in Brazil during the initial outbreak of COVID-19. We surveyed 482 adults in 23 Brazilian states online on 9–22 May 2020, and found that 70.3% of the adults (n = 339) had depressive symptoms and 67.2% (n = 320) had anxiety symptoms. The results of multi-class logistic regression models revealed that females, younger adults, and those with fewer children had a higher likelihood of depression and anxiety symptoms; adults who worked as employees were more likely to have anxiety symptoms than those who were self-employed or unemployed; adults who spent more time browsing COVID-19 information online were more likely to have depression and anxiety symptoms. Our results provide preliminary evidence and early warning for psychiatrists and healthcare organizations to better identify and focus on the more vulnerable sub-populations in Brazil during the ongoing COVID-19 pandemic.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predictors of Depression and Anxiety Symptoms in Brazil during COVID-19

Zhang

Huang

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…All the data processing was completed in SPSS 23.0, and a two-tailed p < .05 was considered statistically significant. First, we report the descriptive statistics on the study variables and the distributions of adults by varying severities of depression symptoms (0-5 = minimal, 6-8 = mild, 9-14 = moderate, 15-27 = severe) [25,26,38] and anxiety symptoms (0-4 = minimal, 5-9 = mild, 10-14= moderate, 15-21 = severe) [36], the maximum score is 27 for depression and 21 for anxiety. A score of PHQ-9 above 5 is considered mild depressive symptoms [35]; and mild anxiety symptoms are considered at the score of GAD-7 above 4 [36].…”

Section: Statistical Strategymentioning

confidence: 99%

“…The research on mental health in the COVID-19 pandemic has focused on demographic characteristics as predictors [22][23][24]. For example, gender [25][26][27], age [28], education [29], occupation [30] and number of children [31] have been the key predictors. Based on the existing research, we examined the key demographic factors such as gender, age, education, occupation and number of children as the predictors in this study.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, we examined exercise and the presence of chronic diseases as predictors of mental health under the COVID-19 pandemic. Of COVID-19 specific factors, the emerging literature on COVID-19 mental health has uncovered that the occurrence of symptoms related to or similar to COVID-19 increases individuals' psychological risk [33]; and information on COVID-19 on the internet is an important predictor of people's fear or panic over COVID-19 [26]. Therefore, we include the symptoms of COVID-19 infection and the hours per day spent browsing COVID-19 information online as COVID-19-related predictors in this study.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Predictors of Depression and Anxiety Symptoms in Brazil during COVID-19

Zhang

Huang

et al. 2021

Preprint

View full text Add to dashboard Cite

The COVID-19 pandemic in Brazil is extremely severe, and Brazil has the third-highest number of cases in the world. The goal of the study is to identify the prevalence rates and several predictors of depression and anxiety in Brazil during the initial outbreak of COVID-19. We surveyed 482 adults in 23 Brazilian states online on 9-22 May 2020, and found 70.3% of the adults (N=339) had depressive symptoms and 67.2% (N=320) had anxiety symptoms. The results of multi-class logistic regression models revealed that females, younger adults and those with fewer children had a higher likelihood of depression and anxiety symptoms; adults who worked as employees were more likely to have anxiety symptoms than those who were self-employed or unemployed; adults who spent more time browsing COVID-19 information online were more likely to have depression and anxiety symptoms. Our results provide preliminary evidence and early warning for psychiatrists and healthcare organizations to better identify and focus on the more vulnerable sub-populations in Brazil during the ongoing COVID-19 pandemic. Keywords: COVID-19; Brazil; anxiety; depression; predictors; risk factors

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Rural–urban differences in the perceived impact of COVID-19 on mental health by European women

Rodríguez,

Camacho

2024

Arch Womens Ment Health

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Purpose Many studies have documented an adverse impact of the pandemic on women´s mental health. This cross-sectional study aims to explore associations between women's perceived impact of lockdowns and curfews on their mental health and their residential location, along with other contextual and individual factors. Methods Using data from the Flash Eurobarometer 2712 “Women in times of COVID-19”, conducted between January 25 and February 3, 2022, across the 27 Member States of the European Union (n = 23,671), this study applied bivariate tests and stratified models based on respondent location (rural areas, small or medium-sized towns and urban areas). The exploration sought predictors influencing the perceived mental health impact, encompassing five individual characteristics (age, disability, employment status, educational attainment, and household type), perceptions of violence against women, and country of residence. The dependent variable was assessed subjectively, measured on a scale from 1 (minor negative impact) to 5 (major negative impact). Results Women living in urban areas generally reported a higher perceived negative impact on mental health compared to women in rural areas or in small/medium-sized towns. Age and disability were significantly linked to perceiving a negative impact on mental health. Similar adjusted odds ratios for age were observed across rural areas (aOR 0.97, 95% CI = 0.97–0.98), small or medium-sized towns (aOR 0.98, 95% CI = 0.97–0.98), and urban areas (aOR 0.97, 95% CI = 0.97–0.98). In terms of disability, the odds were higher in rural areas (aOR 1.44, 95% CI = 1.20–1.73) than in urban ones (aOR 1.36, 95% CI = 1.15–1.62). Among women residing in urban areas, those in childless couples were less likely to perceive a negative impact on mental health (aOR 0.89, 95% CI = 0.80–0.99) compared to women in couples with children. Respondents perceiving increased violence against women due to COVID-19 were more likely to perceive a negative impact on mental health, with higher odds ratios in rural areas (aOR 1.56, 95% CI = 1.40–1.74) compared to urban areas (aOR 1.29, 95% CI = 1.17–1.41). Differences across countries were also found. Conclusion The perceived impact of lockdowns and curfews on mental health exhibited variance between urban and rural areas. These disparities were influenced by individual characteristics such as age, disability, or household type, as well as the effects of COVID-19 on violence against women and contextual variables like country of residence.

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Effect of gender and clinical-financial vulnerability on mental distress due to COVID-19

Cited by 21 publications

References 13 publications

Predictors of Depression and Anxiety Symptoms in Brazil during COVID-19

Predictors of Depression and Anxiety Symptoms in Brazil during COVID-19

Predictors of Depression and Anxiety Symptoms in Brazil during COVID-19

Rural–urban differences in the perceived impact of COVID-19 on mental health by European women

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