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1.
Front Neurol ; 14: 1256650, 2023.
Article in English | MEDLINE | ID: mdl-37822523

ABSTRACT

Introduction: Migraine is a widespread neurological disorder, growing increasingly common. However, the pathogenesis of the disease is often unclear and the evidence for the role of various risk factors is limited. This study aimed to identify risk factors associated with migraine and to contribute towards a better understanding of this disease. Methods: Data from 3,247 questionnaires were analyzed for associations between migraine and sex, age, BMI, degree of education, and air pollution, along with other factors such as contact with friends, physical condition, health, anxiety, and depression. A cross-sectional study was conducted with an approximately equal distribution of the sample by age, gender and two analysed regions. Data were presented using basic descriptive statistics using the chi-square test. The model output was presented using a crude odds ratio (OR) and a fully adjusted OR. Three hundred and eight-six individuals (12%) suffered from migraine. Results: In an adjusted model, the presented study found associations between the prevalence of migraine and sex, age, and level of education. Individuals with migraine statistically significantly more often suffered from depression, anxiety and other selected factors. However, the assumed significant association between the occurrence of migraine and pollution in the region has not been found.

2.
Int J Public Health ; 67: 1604395, 2022.
Article in English | MEDLINE | ID: mdl-35645699

ABSTRACT

Objectives: Evidence of the impact of COVID-19 pandemic on mental and physical health behaviours is limited. This study presents results of two cross-sectional surveys on mental health changes and its consequences on healthy and unhealthy lifestyle behaviours. Methods: An online survey was distributed during Spring 2020 (N = 9,168) and Autumn 2020 (N = 1,042) in the Czech Republic. Differences in mental health observed in both surveys were evaluated using Mann-Whitney test and logistic regressions were used to examine demographic and socio-economic determinants of COVID-19-related mental health issues and resulting healthy and unhealthy lifestyle behaviours. Results: In multivariable models, the youngest individuals, females, people with increased work demands and participants with a reduced personal income due to the COVID-19 pandemic were all negatively associated with self-reported mental health issues (p < 0.05). A worsened quality of sleep, dietary habits, physical activity and unhealthy behaviours were highly associated with affected mental health in the models adjusted for potential covariates (p < 0.05). Conclusion: Taken together, these findings suggest that health promotion strategies directed to individuals who are at risk should be encouraged to adopt and/or maintain positive health-related behaviours.


Subject(s)
COVID-19 , COVID-19/epidemiology , Cross-Sectional Studies , Czech Republic/epidemiology , Female , Humans , Life Style , Mental Health , Pandemics , Self Report
3.
Med Pr ; 72(5): 535-548, 2021 Nov 19.
Article in English | MEDLINE | ID: mdl-34664558

ABSTRACT

The review provides a comprehensive summary of existing literature focusing on the most serious risk factors of non-communicable diseases and collects current knowledge on their distribution, determinants, clusters, psychological and socio-economic consequences. Especially, the life-course approach is stressed, early life consequences of the later onset of chronic diseases, the risk behavior and its social, socio-economic and psychosocial determination is reviewed. Potential of preventing these harmful consequences has a lifelong approach. The aim is to demonstrate the opportunity for future health system transformation in terms of public health prevention regarding the non-communicable diseases. It is concluded that personalized lifestyle medicine should address a patient's health by empowering them with the information they need to regain control of their health. Preventive methods should be tailored for each patient, considering such patient's specific genes, environment, lifestyle, early life factors and social patterns of risk factors to avoid burden of health in later age. Intervention and preventive measures should target not only to individual factors but should reflect wider social, psychosocial and socio-economic consequences. It is also crucial from the point of view of public health to consider data on exposome, which are not included in epidemiological studies as well as its impact on health in the context of non-communicable diseases. Med Pr. 2021;72(5):535-48.


Subject(s)
Healthy Aging , Chronic Disease , Economic Factors , Humans , Life Style , Longevity , Risk Factors , Socioeconomic Factors
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