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

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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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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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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The Association Between Growth Trajectories and Mental Health in Early- to Mid-childhood

University of Toronto Journal of Public Health ◽

10.33137/utjph.v1i1.33811 ◽

2020 ◽

Vol 1 (1) ◽

Author(s):

Alysha A Bartsch ◽

Sarah Carsley ◽

Charles Keown-Stoneman ◽

Jonathon L Maguire ◽

Catherine S Birken

Keyword(s):

Public Health ◽

Mental Health ◽

Risk Factors ◽

Health Status ◽

Internalizing Problems ◽

Externalizing Problems ◽

Mental Health Status ◽

Growth Trajectories ◽

Early Risk ◽

Early Risk Factors

With increasing recognition of mental health’s importance for overall health, public health professionals are seeking to better understand early risk factors for mental illness. A majority of mental health problems emerge during childhood; there is evidence of a particular association between increased childhood growth and poorer mental health. The current study sought to determine the association between growth trajectories during infancy and early childhood (birth to age 5) and mental health (behavioural and emotional difficulties) in early- to mid-childhood (age 3 to 8). The study was conducted among a subset (n=665) of participants from The Applied Research Group for Kids (TARGet Kids!), an ongoing longitudinal cohort study. Five growth trajectories were determined via repeated measures of age- and sex-standardized body mass index (BMI). Mental health was assessed using the Strengths & Difficulties Questionnaire (SDQ) total difficulties, externalizing problems, and internalizing problems scores. The sociodemographic and health characteristics of the sample were described by mental health status (per the SDQ). The sociodemographic and health characteristics of the sample were described by mental health status (per the SDQ). Regression analyses were run to determine the association between growth trajectories and SDQ scores. There was no statistically significant association between increased growth (“rapidly accelerating” trajectory) and SDQ total difficulties (b=1.49[-3.82,6.81],p=0.58), externalizing problems (b=0.31[-3.29,3.91],p=0.86), or internalizing problems (b=1.18[-1.73,4.09],p=0.43). There was a significant association between decelerating growth and increased internalizing problems (b=0.69[0.07,1.31],p=0.03). Current results do not support an association between increased growth and poorer mental health overall in early- to mid-childhood; however, a pattern of decelerating growth may be associated with more internalizing problems. Understanding early risk factors for poor mental health may allow public health researchers to develop targeted interventions and ultimately improve mental health outcomes across the lifespan. Implications and future directions will be discussed.

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Risk factors and protective factors of mental health during COVID-19 outbreak and lockdown in adult Indian population- A cross-sectional study

10.1101/2020.06.13.20130153 ◽

2020 ◽

Cited By ~ 1

Author(s):

Jayakumar Saikarthik ◽

Ilango Saraswathi ◽

Thirusangu Siva

Keyword(s):

Mental Health ◽

Risk Factors ◽

Health Status ◽

Online Survey ◽

Indian Population ◽

Health Workers ◽

Female Gender ◽

Mental Health Status ◽

Mild Depression ◽

Cross Sectional

AbstractBackgroundThe novel Corona virus has derailed the entire world and various steps have been taken by the health authorities to tackle this pandemic. Nationwide lockdown has been imposed to control the spread of COVID-19 outbreak in India, which could have psychological impact on the population.AimOur study aims to study the effect of the COVID-19 outbreak & subsequent lockdown on mental health status of adult Indian population along with identifying the high-risk groups.MethodologyAn online survey was conducted during 3rd phase of lockdown gathering details about sociodemographic variables, practice of precautionary measures, awareness and concerns regarding COVID-19 and mental health status of the participants through DASS21 questionnaire from 873 adults.ResultsThe prevalence of depression, anxiety and stress were 18.56%, 25.66%, and 21.99% respectively including higher number of participants with mild depression (15.1%) and stress (14.5%) and moderate anxiety (16.3%). Female gender, age <25 years, unemployment, self-business, employed in private sector, lack of formal education, larger household size, parenthood (>2 kids) were associated with increased likelihood of negative mental health. Confidence in physician’s ability to diagnose COVID-19 infection, decreased self-perceived likelihood of contracting COVID-19, lesser frequency of checking for information on COVID-19 and satisfaction of information received were protective against negative mental health.ConclusionThis landmark study identified the protective and risk factors of mental health during COVID-19 pandemic, to help authorities and mental health workers to strategize and deliver interventional methods to maintain psychosocial wellbeing of the population.

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