Health-risk behaviour in Croatia

Bécue-Bertaut, Mónica; Kern, Josipa; Hernández-Maldonado, Maria-Luisa; Jureša, Vesna; Vuletić, Silvije

doi:10.1016/j.puhe.2007.05.009

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…MFA provides a special concept of partial factor scores which enables us to position each observation from the perspective of the different groups of variables. MFA has recently been used in various scientific areas such as agriculture [83], statistics [84], chemometrics [85], health and medicine [86], and psychology [87]. MFA is a descriptive technique but also provides the factor scores on both dimensions (by Countries and by Sectors) which were used in further statistical analysis, such as the ANalysis of Variance/ANOVA/.…”

Section: Hypothesis 4 (H4)mentioning

confidence: 99%

The Assessment of Non-Financial Risk Sources of SMES in the V4 Countries and Serbia

et al. 2019

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Risks are a very important part of the business environment. If risks are managed well, they can provide a higher level of competitiveness and sustainability advantages for a company. The first step towards successful risk management is an identification of risks. The aim of this article is to create a risk profile for (small and medium-sized enterprises) SMEs in V4 countries (Czech Republic, Slovakia, Poland, Hungary), compare them to each other and then compare the results with those for Serbia. The data were collected during an extensive research project organized by Tomas Bata University in Zlín in 2017 and 2018. In total 2110 answers of SMEs were analyzed. For the verification of hypotheses, a 5-point Likert scale, Multiple Correspondence Analysis (MCA) and Multiple Factors Analysis (MFA) and ANOVA were used. The level of legal, security, personnel and operational risks is statistically higher in Serbia than in V4 countries, and the lowest level is in Slovakia. Some significant differences among the exposure to risk according to economic sectors were identified.

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Section: Hypothesis 4 (H4)mentioning

confidence: 99%

The Assessment of Non-Financial Risk Sources of SMES in the V4 Countries and Serbia

et al. 2019

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“…Studies which have considered consumption of HFSS food and drink as a behavioural risk factor have not previously considered this within a UK-wide population. 28–31 This study aims to provide new data on this issue by describing the frequency of fast food and takeaways, ready meals, confectionary and soft drink consumption between population groups. Additionally, it examines the clustering of health risk behaviours: smoking, alcohol consumption, physical inactivity and overweight/obesity in adults in the UK to provide information that could inform more refined targeting of health policies and interventions.…”

Section: Introductionmentioning

confidence: 99%

Clustering of behavioural risk factors for health in UK adults in 2016: a cross-sectional survey

Birch

Petty

Hooper

et al. 2018

Journal of Public Health

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“…The MFA method was first introduced by Thurstone [29] and later described by Escoffier and Pagès [30]. MFA has recently been used in various scientific fields, such as agriculture [31,32]; business management and economics [33,34]; chemometrics [35,36]; health and medicine [37]; mathematics and statistics [38,39]. The method is advantageous in analysing a given table of inter-correlated variables that are in multiple blocks.…”

Section: Multiple Factor Analysis (Mfa)mentioning

confidence: 99%

Global Food Security, Economic and Health Risk Assessment of the COVID-19 Epidemic

2021

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This study addresses the complexity of global pandemic (COVID) exposures and explores how sustainable development relates to economic and health risks and food security. Multiple factor analysis (MFA) is applied to compute the links among blocks of variables, and results are validated by random sampling with bootstrapping, exhaustive and split-half techniques, and analysis of variance (ANOVA) to test the differences of the MFA factors within the different stages of competitiveness. Comparing the MFA factors suggests that higher competitiveness is correlated with better food security and natural resilience and the tremendous economic downturn; the most competitive countries have lower exposures to health risks. In addition, the risk of pandemics appears to be lower with well-established public health care (HC) system services and good health for the population. The study also underlines that the economic and health systems are unfortunately inadequate to deal with a crisis of this magnitude. Although the countries least affected by the epidemic are the most competitive, they cannot protect people and the economy effectively. Formulating appropriate global responses is a challenge, but the results may lead to more nuanced findings regarding treatment policies that can be addressed at the country level.

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Health-risk behaviour in Croatia

Cited by 7 publications

References 24 publications

The Assessment of Non-Financial Risk Sources of SMES in the V4 Countries and Serbia

The Assessment of Non-Financial Risk Sources of SMES in the V4 Countries and Serbia

Clustering of behavioural risk factors for health in UK adults in 2016: a cross-sectional survey

Global Food Security, Economic and Health Risk Assessment of the COVID-19 Epidemic

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