Mental health status and gender as risk factors for onset of physical illness over 10 years

Background The COVID-19 outbreak can potentially be categorized as a traumatic event. Public health surveillance is one of the cornerstones of public health practice, and it empowers decision makers to lead and manage public health crises and programs more effectively by providing timely and useful evidence. Objective This paper presents the protocol for a study that aims to identify, track, and monitor trends in the population in Saudi Arabia at risk of major depressive disorders and anxiety during the COVID-19 pandemic. Methods This study utilizes continuous, cross-sectional, national-level mental health screening via computer-assisted phone interviews, conducted in four waves on a monthly basis (between May and August 2020). Arabic-speaking adults, aged ≥18 years, and living in Saudi Arabia were recruited via a random phone list. This surveillance system used the proportional quota sampling technique to achieve an equal distribution of participants, stratified by age and gender, and region, within and across the 13 administrative regions of Saudi Arabia. A sample size of 4056 participants per wave was calculated to achieve enough power to detect changes in mental health status. The questionnaire includes the Arabic version of the Patient Health Questionnaire-9 (PHQ-9) to measure depressive symptoms and the General Anxiety Disorder-7 (GAD-7) to measure anxiety. In addition, it will collect data on sociodemographic variables and potential risk factors. Results Study recruitment began in May 2020. The data analysis was completed in October 2020, and the final report is expected to be published by the end of December 2020. Conclusions Monitoring the population’s mental health status during the COVID-19 pandemic will inform decision makers of any potential deterioration in mental health on a national level and among subgroups, including across regions, age groups, and gender groups. It will allow decision makers to recognize issues and intervene sooner. It will also provide valuable scientific data to help understand the effects of epidemics and pandemics on mental health. As far as we know, this is the only study that attempts to monitor the mental health status of the general population on a monthly basis. International Registered Report Identifier (IRRID) DERR1-10.2196/23748

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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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Associations of Mental Health and Chronic Physical Illness During Childhood With Major Depression in Later Life

Innovation in Aging ◽

10.1093/geroni/igab046.105 ◽

2021 ◽

Vol 5 (Supplement_1) ◽

pp. 29-29

Author(s):

Rachel Bergmans ◽

Jacqui Smith

Keyword(s):

Mental Health ◽

Health Status ◽

Major Depression ◽

Later Life ◽

Physical Illness ◽

Mental Health Status ◽

Standard Deviation Increase ◽

Chronic Physical Illness ◽

Illness Burden ◽

Childhood Mental Health

Abstract While poor health in childhood has implications for mental health years later, less is known regarding its long-term impact. We determined whether childhood chronic physical illness burden was associated with major depression (MD) in later life (i.e., >50 years), and tested mediation by childhood mental health status using path analysis. Data came from the 2016 U.S. Health and Retirement Study (n=18,047). One standard deviation increase in childhood chronic physical illness burden was associated with 1.21 (95% CI = 1.12, 1.30) times higher odds of MD in later life. Childhood mental health status explained 57.8% (95% CI: 35.2, 80.4) of this association. Results indicated that the relationship of chronic physical illness burden in childhood with MD in later life was mediated by childhood mental health status. Whether greater screening for psychiatric-related symptoms in childhood or review of health histories in later life can reduce the burden of MD requires further study.

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

European Journal of Psychotraumatology ◽

10.1080/20008198.2021.1984050 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Dean Ajduković ◽

Ines Rezo Bagarić ◽

Helena Bakić ◽

Aleksandra Stevanović ◽

Tanja Frančišković ◽

...

Keyword(s):

Mental Health ◽

Risk Factors ◽

Health Status ◽

Adult Population ◽

Mental Health Status

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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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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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