SUBJECTIVE ASSESSMENT OF HEALTH RISK FACTORS BY CHEMICAL  WORKERS PRODUCTIONS

The results of the study of the assessment of factors that can adversely affect health by the workers of chemical production in the Republic of Belarus are considered. The analysis of subjective assessments is carried out. Further analytical research is justified.

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Prevalence of risk factors for health and emotional well-being of teachers in the context of distance learning

Bulletin of Russian State Medical University ◽

10.24075/brsmu.2021.019 ◽

2021 ◽

Author(s):

OYu Milushkina ◽

OF Zhukov ◽

OV Lukanova ◽

SV Markelova ◽

NA Skoblina

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Distance Learning ◽

Health Risk ◽

Statistical Processing ◽

Well Being ◽

Subjective Assessment ◽

Professional Activity ◽

Health Risk Factors ◽

Factors Affecting

Distance learning (DL) changed the work-rest balance of teachers, increased risks of deterioration of their health and emotional burnout (EB). This study aimed to investigate the prevalence of risk factors affecting health and emotional state of teachers engaged in DL, as well as subjective assessment of the significance of these factors by teachers. We have surveyed teachers during traditional, in-person learning (TL) period (n = 224) and DL (n = 619), and took anthropometric measurements of 45 teachers during TL and 72 teachers when DL ended. EB was studied in 72 teachers with the help of V.V. Boyko questionnaire. Statistical processing was enabled by the Statistica 13 PL package, Student's t-test, χ2 test; to identify the relationship between indicators, we relied on regression analysis, effect occurrence probability calculation. Less than half of teachers are aware of the health risk factors (low level of physical activity — 36.1%, poor nutrition — 29.2%, lack of knowledge on disease prevention — 6.9%). After DL ended, only 30% of teachers considered themselves healthy; 13.1% reported lack of EB symptoms. An increase in the average body mass index value was established. Teachers underestimating EB and health risk factors were 2.3 times more likely to grow obese (OR = 0.40; 95% CI = 0.22–0.70). The study highlights high hygienic value of physical activity as a controllable health risk factor. Raising teachers' awareness of health preservation practices will help prevent deterioration of their health, development of EB and increase the efficiency of their professional activity.

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Fact Sheet: Differences Between Men and Women in Health Risk Factors, 1996 and 1997

PsycEXTRA Dataset ◽

10.1037/e371572004-001 ◽

2013 ◽

Author(s):

Keyword(s):

Risk Factors ◽

Health Risk ◽

Health Risk Factors ◽

Men And Women ◽

Fact Sheet

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A Study of the Effects of Exercise on Stress, Depression Levels, and Health Risk Factors

PsycEXTRA Dataset ◽

10.1037/e413792005-758 ◽

2000 ◽

Author(s):

Paul A. Thomas ◽

Jen Hanley ◽

Christy Tomczak ◽

Jennifer Wuchteil ◽

Nathan Underwood ◽

...

Keyword(s):

Risk Factors ◽

Health Risk ◽

Health Risk Factors

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Minority Health Profile: Health Risk Factors by Race and Ethnicity

PsycEXTRA Dataset ◽

10.1037/e550482009-001 ◽

2004 ◽

Keyword(s):

Risk Factors ◽

Health Risk ◽

Race And Ethnicity ◽

Minority Health ◽

Health Profile ◽

Health Risk Factors

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Behavioral Health Risk Factors for Nonmedical Use of Prescription Opioids in Adolescence

SSRN Electronic Journal ◽

10.2139/ssrn.3529461 ◽

2020 ◽

Author(s):

Junhan Cho ◽

Lorraine I. Kelley-Quon ◽

Jessica L. Barrington-Trimis ◽

Afton Kechter ◽

Sarah Axeen ◽

...

Keyword(s):

Risk Factors ◽

Health Risk ◽

Behavioral Health ◽

Prescription Opioids ◽

Health Risk Factors ◽

Nonmedical Use

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Mental Health, Risk Factors and Access to Care for Primary School Children in the Island of Mauritius

Adolescent Psychiatry ◽

10.2174/221067660404150115163000 ◽

2015 ◽

Vol 4 (4) ◽

pp. 293-304

Author(s):

Sobharani Sungum-Paliwal

Keyword(s):

Mental Health ◽

Risk Factors ◽

Health Risk ◽

Primary School ◽

Access To Care ◽

School Children ◽

Primary School Children ◽

Health Risk Factors

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Consumption of carbonated soft drinks among Ghanaian adolescents: associations with socio-demographic factors, health risk factors and psychological distress

Nutrition and Health ◽

10.1177/0260106021996933 ◽

2021 ◽

pp. 026010602199693

Author(s):

Prince Atorkey ◽

Mariam Akwei ◽

Winifred Asare-Doku

Keyword(s):

Risk Factors ◽

Psychological Distress ◽

Health Risk ◽

Soft Drink ◽

Demographic Factors ◽

Soft Drinks ◽

Health Risk Factors ◽

Soft Drink Consumption ◽

Carbonated Soft Drinks ◽

Socio Demographic Factors

Background: Carbonated soft drinks consumption is associated with weight gain and other chronic diseases. Aim: To examine whether socio-demographic factors, health risk factors and psychological distress are associated with carbonated soft drink consumption among adolescents in selected senior high schools in Ghana. Methods: Data were obtained from the 2012 Ghana Global School-based Student Health Survey (GSHS). Participants consisted of 1756 school-going adolescents sampled using a two-stage cluster sampling method. Binomial logistic regression was used to determine whether socio-demographic factors, health risk factors and psychological distress were associated with consumption of soft drinks. Results: The prevalence of carbonated soft drinks consumption was 34.9%. Males (odds ratio (OR) = 0.73 (95% confidence intervals (CI) 0.59–0.92); p = 0.007), and participants with high socio-economic status (OR = 0.76 (95% CI 0.48–0.97); p = 0.033) had smaller odds for consumption of soft drinks. Also, adolescents in Senior High School (SHS) 3 (OR = 0.72 (95% CI 0.53–0.97); p = 0.034) and SHS 4 (OR = 0.63 (95% CI 0.43–0.91); p = 0.014) had smaller odds for soft drinks intake compared to those in SHS 1. Health risk factors associated with greater odds of high soft drink consumption were tobacco use (OR = 1.68, (95% CI 1.07–2.65); p = 0.025), fast food consumption (OR = 1.88, (95% CI 1.47–2.41); p = 0.011) and alcohol consumption (OR = 1.43, (95% CI 1.02–1.99); p = 0.039). Consuming adequate fruit (OR = 0.19 (95% CI 0.15–0.24); p = 0.000) and adequate vegetable (OR = 0.55 (95% CI 0.34–0.87); p = 0.011) were associated with lower odds for soft drink consumption. Adolescents who reported feeling anxious had smaller odds for soft drink intake (OR = 0.65, (95% CI 0.47–0.91); p = 0.011). Conclusions: The findings from this study show that socio-demographic characteristics, health risk factors and psychological distress are associated with the soft drink consumption among adolescents in Ghana. Interventions aimed at reducing soft drink consumption and other health risk factors are needed.

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Cannabis use among early adolescents and transdiagnostic mental health risk factors

Clinical Child Psychology and Psychiatry ◽

10.1177/1359104521994637 ◽

2021 ◽

pp. 135910452199463

Author(s):

Sara Moreno-Mansilla ◽

Jorge J Ricarte ◽

David J Hallford

Keyword(s):

Mental Health ◽

Risk Factors ◽

Health Risk ◽

Suicide Attempts ◽

Intolerance Of Uncertainty ◽

Cannabis Use ◽

Health Risk Factors ◽

Symptoms Of Depression ◽

Modifiable Factors ◽

Wide Range

Introduction: Cannabis is the most widely used psychoactive substance among adolescents worldwide, and the age at which consumption begins to decrease. Cannabis use in adolescents is associated with a wide range of adverse consequences in adulthood including increased vulnerability to psychosis and other mental disorders, as well as suicidal ideation and attempt. The aim of this study is to extend understanding of the link between cannabis use and mental illness by examining whether cannabis use at early ages predicts transdiagnostic variables that are precursors to severe clinical diagnoses. Methods: A descriptive cross-sectional study was conducted. The sample was made up of 605 adolescents from 7th to 9th grades, with a mean age of 13.2 years ( SD = 1.0, 47% girls). The variables evaluated were: anomalous perception of reality, intolerance of uncertainty, rumination, suicide attempt, hopelessness, and symptoms of depression and anxiety. The administration of the questionnaires was carried out in groups of 20 participants under the supervision of a researcher in a unique session of 1 hour. Results: Adolescent cannabis users scored higher on all variables assessed: anomalous perception of reality (Cohen’s d = .60), rumination ( d = .48), intolerance of uncertainty ( d = .11), suicidal attempt (affirmative answer: 25.9% of users vs 7.7% of non-users), hopelessness ( d = .85), symptoms of depression ( d = .80), and anxiety ( d = .39). A binary logistic regression showed that the only variable uniquely related to cannabis use was hopelessness (Wald = 4.560, OR: 1.159, p = .033). Conclusions: Among some mental health risk factors, hopelessness appears uniquely related to cannabis use. Adolescents may use cannabis as a coping strategy for negative thoughts and emotions, or it may be a consequence of cannabis use. Future prevention programs should focus on preventing/treating modifiable factors such as hopelessness, and delaying cannabis use in specific subgroups of adolescents who experience pathologies such as depression or suicide attempts.

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