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1.
Int Arch Occup Environ Health ; 94(6): 1239-1247, 2021 08.
Artículo en Inglés | MEDLINE | ID: mdl-33751223

RESUMEN

OBJECTIVE: The aim of the study is to identify the relationship between the fear of COVID-19 and the preventive measures of healthcare workers and service sector employees during the covid-19 pandemic. METHODS: The present study is a descriptive type of research. The study's sample group consisted of 735 people and included healthcare workers (n = 426) and service sector employees (n = 309). In this study, sociodemographic characteristics, employment in the healthcare or service sector, having a relative with COVID-19, losing any relative due to COVID-19 and taking preventive measures were taken as independent variables. The dependent variable was the score from the Fear of COVID-19 Scale (FCV-19S). RESULTS: The FCV-19S median value was 14 for the service sector and 17 for the healthcare sector. While no difference was found between occupational groups and the FCV-19S score in the service sector, there was a significant correlation between occupational groups and the FCV-19S score in the healthcare sector. The FCV-19S median value of midwives was 21, and it was higher than those of other occupational groups were. The mean FCV-19S scores of those who thought they had COVID-19 symptoms due to stress or panic were higher among the healthcare workers. CONCLUSION: The healthcare workers need more support in fear management than those engaged in service sector employees, and it is recommended that raising the awareness of service sector employees in terms of compliance with preventive measures should be prioritized.


Asunto(s)
COVID-19/psicología , Miedo , Pandemias , Adolescente , Adulto , Femenino , Personal de Salud/psicología , Humanos , Masculino , Persona de Mediana Edad , Ocupaciones , Encuestas y Cuestionarios , Recursos Humanos , Adulto Joven
2.
Int Arch Occup Environ Health ; 94(6): 1249-1262, 2021 08.
Artículo en Inglés | MEDLINE | ID: mdl-33687541

RESUMEN

PURPOSE: This study was conducted to evaluate the depression, anxiety and stress status of health sector and community service workers who were actively working during the pandemic period. METHODS: This is a descriptive study. A total of 735 people consisting of 426 health sector employees and 309 service sector employees, constituted the study sample. In this study, the data were collected using the personal information form and the Depression Anxiety Stress Scales-21 (DASS-21). A regression model was established to test the effect of socio-demographic characteristics on depression, anxiety, and stress levels during the COVID-19 pandemic. RESULTS: While there was no difference in working a second job across different sectors (p = 0.450), the household income (p < 0.001) and the increase in expenditures during the COVID-19 pandemic (p < 0.001) were different across the sectors. The scores of the overall scale and its sub-dimensions were significantly different across the sectors (p < 0.001). The DASS-21 scores were higher in the participants, who started to smoke more and who had their sleep duration decreased (p < 0.001). There is a statistically significant difference between social media use and the DASS-21 score (p < 0.001). There is a significant difference across all DASS-21 subgroups by the daily working hours in the health sector (p < 0.001). CONCLUSION: Our study provides significant findings regarding the mental health of individuals who continued working during the pandemic. To implement effective mental health interventions to risk groups and affected people in the COVID-19 pandemic, the recommendations of leading organizations, including WHO and ILO, should be implemented effectively concerning occupational health.


Asunto(s)
COVID-19/psicología , Personal de Salud/psicología , Salud Mental , Adolescente , Adulto , Ansiedad , Depresión , Femenino , Humanos , Masculino , Persona de Mediana Edad , Ocupaciones , Pandemias , Sueño , Bienestar Social , Estrés Psicológico , Encuestas y Cuestionarios , Recursos Humanos , Adulto Joven
3.
East Mediterr Health J ; 25(6): 374-384, 2019 Aug 19.
Artículo en Inglés | MEDLINE | ID: mdl-31469157

RESUMEN

BACKGROUND: Among low- and middle-income nations, the highest prevalence of child overweight and associated metabolic disorders has been found in Middle Eastern and Eastern European countries. Obesity has been on the rise in Turkey and past research has shown regional variations among adults. However, the prevalence of childhood obesity in different socioeconomic groups in the largest metropolitan areas in the country has not been reported. AIMS: This study aimed to investigate the prevalence of child obesity with a population-representative, SES-stratified random sample with objective measures of body mass index (BMI) in the capital city of Turkey. METHODS: Weight status was measured by the WHO growth curve and analyzed by socioeconomic status (SES), sex, and parental factors in a population-representative sample of 2066 parent-child dyads. Chi-square and logistic regression were conducted. RESULTS: Rates of overweight and obesity were 21.2% and 14.6% (35.8% combined) but significantly higher in high (24.5% and 18.9%) vs. low SES (20.1% and 13.8%) (P = 0.02). Boys were at higher risk for obesity than girls, especially in high vs. low SES (Odds Ratio [OR] = 3.0 [95% CI: 1.4-6.5] vs. 1.7 [95% CI: 1.2-2.5]). Having both parents being overweight or obese increased the risk for obesity, particularly in medium and high SES (OR = 5.8 [95% CI: 2.3-14.1]) and 6.3 (95% CI: 1.5-26.2). CONCLUSIONS: Higher maternal education was a risk factor in low-to-medium but not high SES. In Ankara, child overweight and obesity appears to be 1.5 times more prevalent than national estimates. Higher SES may signify greater exposure to an obesogenic environment and greater obesity risk.


Asunto(s)
Padres , Obesidad Infantil/epidemiología , Factores de Edad , Índice de Masa Corporal , Niño , Estudios Transversales , Femenino , Humanos , Masculino , Sobrepeso/epidemiología , Prevalencia , Factores de Riesgo , Factores Sexuales , Factores Socioeconómicos , Turquía/epidemiología
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