Mental health status and risk factors during Covid-19 pandemic in the Croatia’s adult population

Backgroud:Parental pychosis can have a major impact on the household and studies indicate that they increase the risk of children developing behavioural, social, emotional and educational problems (Royal College of Psychiatrists, 2004). to our knowledge, there is scarce information available about the mental health status of the sons and daughters cared by psychotic inpatients. Potential interventions that mental health services could adopt by screening this at risk population are missed.Aim:To assess the mental health status of the children cared by the psychotic inpatients admitted to an acute mental health ward in Porto. to determine the number of children that fulfill criteria of mental illness and of those at risk. to refer this population to a specialist clinic.Methods:Prospective study: we will screen the sons and daughters of all the inpatients admitted with psychosis between the 1st September 2008 and the 30th November 2008 to a busy acute inpatient ward at Hospital Megalhães Lemos, Porto. We will use the Robert Goodman Strenghts and Weaknesses Questionnaire for the 18- year old and below and the SCL-90 for the adult population. the population that fulfills criteria for mental health problems and the ones that are identified as at risk will be referred to a specialist clinic and followed-up by an experienced psychiatrist.Conclusions:To identify and quantify a vulnerable population at high risk of developing mental health problems and offering an early intervention may proove to have an important impact in the household wellbeing.

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Cardiometabolic risk factors and mental health status among truck drivers: a systematic review

BMJ Open ◽

10.1136/bmjopen-2020-038993 ◽

2020 ◽

Vol 10 (10) ◽

pp. e038993

Author(s):

Amber J Guest ◽

Yu-Ling Chen ◽

Natalie Pearson ◽

James A King ◽

Nicola J Paine ◽

...

Keyword(s):

Mental Health ◽

Risk Factors ◽

Systematic Review ◽

Health Status ◽

Cardiometabolic Risk ◽

Health Behaviours ◽

Mental Health Status ◽

Truck Drivers ◽

Truck Driver ◽

Cardiometabolic Risk Factors

ObjectiveThis study aimed to systematically review and summarise the literature on cardiometabolic risk factors, lifestyle health behaviours and mental health status of truck drivers globally to ascertain the scale of these health concerns.DesignSystematic review reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.Data sourcesPubMed, Scopus, PsycINFO and Web of Science were searched in January 2019 and updated in January 2020, from the date of inception to 16 January 2020.Eligibility criteria for selecting studiesPapers were included if they (1) reported independent data on truck drivers, (2) included quantitative data on outcomes related to cardiometabolic markers of health, mental health and/or health behaviours, (3) were written in English and (4) were published in a peer-reviewed journal. Grey literature was ineligible for this review.Data extraction and synthesisOne reviewer independently extracted data and assessed methodological quality using a checklist based on the National Heart, Lung and Blood Institute Quality Assessment tool. 20% were independently assessed for eligibility and quality by a second reviewer. Due to heterogeneity of the outcomes, results were narratively presented.Results3601 titles and abstracts were screened. Seventy-three studies met the inclusion criteria. Truck driving is associated with enforced sedentarism, long and irregular working hours, lack of healthy foods, social isolation and chronic time pressures. Strong evidence was observed for truck drivers to generally exhibit poor cardiometabolic risk profiles including overweight and obesity, hypertension, hypercholesterolaemia, high blood glucose, poor mental health and cigarette smoking.ConclusionsImproving truck driver health is vital for the longevity of the trucking industry, and for the safety of all road users. The workplace plays a vital role in truck driver health; policies, regulations and procedures are required to address this health crisis.PROSPERO registration numberCRD42019124499.

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Comprehensive Comparison between Empty-nesters and Non-empty-nesters in Anhui, China: Subjective Well-being and Depression

10.21203/rs.3.rs-29125/v1 ◽

2020 ◽

Author(s):

Dan Su

Keyword(s):

Mental Health ◽

Risk Factors ◽

Health Status ◽

Influencing Factors ◽

Religious Belief ◽

Well Being ◽

Mental Health Status ◽

Subjective Well Being ◽

Old People ◽

Targeted Interventions

Abstract BACKGROUND: China is one of the countries facing the most serious population aging. Empty-nesters accounted half of the total old adults in China, improving mental health status of old people is necessary. This cross-sectional study aimed to compare the subjective well-being and depression comprehensively between empty-nesters and non-empty-nesters in Anhui, China.METHODS: 1452 participants were surveyed by using the demographic characteristics questionnaire, the subjective well-being (SWB) single-choice facial expression questionnaire and the 30-item Geriatric Depression Scale (GDS-30).RESULTS: Education level and depression were risk factors for both groups ( P <0.05), but age, marital status, living mode, and religious belief were main risk factors for empty-nesters ( P <0.05). Monthly individual income and SWB were risk factors for both groups( P <0.05), but living mode, religious belief and physical exercise were main risk factors for elderly empty-nesters, whereas economy situation was the main risk factor for non-empty-nesters( P <0.05).CONCLUTION: The influencing factors of two groups had similarities and differences. With the aging population of China, improving mental health status of old people was necessary. We should implement targeted interventions addressing mental health influencing factors of older adults.

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Investigating economic risk factors that impact mental health status of former army personnel

Value in Health ◽

10.1016/j.jval.2014.03.1273 ◽

2014 ◽

Vol 17 (3) ◽

pp. A218

Author(s):

M. Rebeira

Keyword(s):

Mental Health ◽

Risk Factors ◽

Health Status ◽

Mental Health Status ◽

Economic Risk ◽

Army Personnel

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Comparison of Mental Health Status between Two Periods during Coronavirus Disease 2019 Pandemic in Iranian Adult Population

Galen Medical Journal ◽

10.31661/gmj.v10i0.2199 ◽

2021 ◽

Vol 10 ◽

pp. e2199

Author(s):

Arash Mani ◽

AliReza Estedlal ◽

Ali Akbary ◽

Taraneh Estedlal ◽

Sara Ouladinejad-Rodbali ◽

...

Keyword(s):

Mental Health ◽

Health Status ◽

Sex Education ◽

Adult Population ◽

General Health Questionnaire ◽

Poor Mental Health ◽

Mental Health Status ◽

First Year ◽

Physical And Mental Health ◽

Cross Sectional

Background: One unprecedented year after the coronavirus disease 2019 (COVID-19), the pandemic is no longer a short-term stressor; the unremitting/chronic effects of COVID-19 disease is likely to cause impaired physical and mental health upon population and the implemented public health and social measures to limit transmission and reduce mortality and morbidity from COVID-19 expose many people to social isolation, job loss, and economic recession. This study aims to compare mental status and four mental symptoms (somatization, anxiety, depression, and social functions) between two periods during the first year of the COVID-19 pandemic. Materials and Methods: Current study consists of two cross-sectional mental health surveys on the Iranian adult population carried out in two periods of March to April 2020 and December 2020 to February 2021 in two important Provinces of Iran (Fars and Khorasan Razavi). In the first survey, 1337 individuals participated in the study and completed the General Health Questionnaire-28, while in the second survey, 1205 participants completed the same questionnaire. Results: Among 1337 participants of the first survey, there were 876 (65.5%) females and 461 (34.5%) males with an average age of 37.41±10.58 years. In the second survey, there were 1205 participants with mean age of 33.79±19.57 years. The rates of females and males were 57.7% and 42.3%, respectively. Compared to the first survey, the second one showed that poor mental health condition that was 1.40 (95% confidence interval: 1.17-1.67) times higher based on the age, sex, education, marital status, economic, alcohol, cigarette, water-pipe, and sedative (P<0.001). Conclusion: Poor mental health status has increased during the first year of the COVID-19 pandemic. These results revealed that the COVID-19 pandemic was a chronic stressor faced by people every day; therefore, more robust mental health-related considerations must be implemented. [GMJ.2021;10:e2199]

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Analysis of the mental health status and risk factors of the general population in Beijing, China: A cross-sectional study

10.21203/rs.3.rs-18610/v1 ◽

2020 ◽

Author(s):

YUJIN XIE ◽

Lei Shi ◽

Ying Liu ◽

Di Liu ◽

Yang Jiao ◽

...

Keyword(s):

Mental Health ◽

Risk Factors ◽

Statistical Analysis ◽

Health Status ◽

General Population ◽

Chinese Population ◽

Mental Health Status ◽

Psychological Problems ◽

Monthly Income ◽

Cross Sectional

Abstract Background This study sought to understand the mental health status of Beijing’s general population, analyze the risk factors that affect it, and provide a scientific basis for promoting the physical and mental health of the general population. Methods A cross-sectional design was used. Overall sampling was used to select 6,364 people who had undergone a physical examination from January to December 2018 and volunteered to participate in an assessment of their mental health. We used the SCL-90 to establish the current normal mental health model of the general population in Beijing. After using the PEM System to export and automatically generate Excel files, SPSS 19.00 was utilized for statistical analysis. Descriptive statistical analysis methods were used to analyze the mental health status of the respondents and the mean and standard deviation of each factor. A t-test was used to compare the mental health of the general population in Beijing with the Chinese norm in 1986. Multiple linear regression analysis was used to explore the influencing factors of the mental health of the general population in Beijing. Results The average score of each factor of the SCL-90 in Beijing's general population was between 1.28 and 1.75, with no significant peaks. The scores of various factors in the general population in Beijing were relatively close, and their mental health remained stable. The analysis of the demographic variables of gender, education, age, marital status, and monthly income showed that monthly income ( β=-0.027, p<0.05) and gender ( β=-0.026,p<0.05) had significant effects on the SCL-90 score of the general population. Conclusion The mental health level of Beijing’s general population was lower than the Chinese norm in 1986. Male mental health problems were prominent and low-income people were prone to psychological problems. It is imperative to strengthen the construction of a mental health service system and standardized management among the Chinese population. Strengthening the popularization of mental health knowledge, guiding the Chinese population to cultivate a positive attitude, preventing bad attitudes, encouraging the use of scientific methods to deal with psychological behavioral problems, and early targeted measures can reduce the occurrence of serious psychological problems.

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Mental health problems experienced by patients with rheumatic diseases during COVID-19 pandemic

Current Rheumatology Reviews ◽

10.2174/1573397117666210127124544 ◽

2021 ◽

Vol 17 ◽

Author(s):

Anass Adnine ◽

Khawla Nadiri ◽

Ilias Soussan ◽

Siriman Coulibaly ◽

Khadija Berrada ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Mental Health ◽

Risk Factors ◽

Health Status ◽

Rheumatic Disease ◽

Rheumatic Diseases ◽

Mental Health Disorders ◽

Mental Health Status ◽

Health Disorders ◽

Insomnia Symptoms

Background: Patients with rheumatic diseases are more likely to suffer from anxiety, depression and insomnia. Yet, little is known about mental health status during COVID-19 pandemic. Objective : This study aims to measure the prevalence of mental health disorders among patients with rheumatic diseases in the era of COVID-19 pandemic and to determine potential risk factors for major symptoms of depression, anxiety, and insomnia in participants. Methods: Participants with rheumatic diseases were asked to complete a questionnaire using a telephonic interview. Sociodemographic and rheumatic disease characteristics were recorded. Mental health status was assessed by the patient health questionnaire-9 (PHQ-9), generalized anxiety disorder (GAD)-7, and insomnia severity index (ISI) questionnaires to detect depression, anxiety and insomnia symptoms, respectively. Results : We included 307 patients in the survey. Rheumatoid arthritis was the most frequent diagnosis (55%). Of all participants, 7.5% had known depression and 5.5% known anxiety. Mental health disorders were insomnia (34.9%), anxiety (33.2%), and depression (24.4%). Major symptoms of insomnia, anxiety, and depression were noted in respectively, 19.9%, 12.4%, and 7.8% of participants. Risk factors for major insomnia were male gender (OR= 4.36, 95% CI 2.06 to 9.25; p<0.0001), low socioeconomic status (OR= 2.64, 95% CI 1.44 – 4.83; p<0.002) and having rheumatoid arthritis (OR= 2.00, 95% CI 1.04 to 3.84; p<0.036). Major anxiety was associated with low monthly income (OR=1.79, 95% CI 1.07 to 3.01; p<0.026), and higher Numerical Rating Scale (NRS) of pain (OR=1.795, 95% CI 1.074 to 2.994 ; p<0.026). Major depression was associated with worsening of rheumatic disease (OR=1.86, 95% CI 1.06 to 3.26; p<0.03). Conclusions : A high frequency of undiagnosed depression, anxiety and insomnia symptoms was found in rheumatic patients. Rheumatologists should be aware of these comorbidities, especially in the era of COVID-19 pandemic.

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