31 research outputs found
How much is your diet? (Estimation about prices of âtraditional Hungarianâ, diabetic, low energy diets, and related life-style expenses)
Nutrition and lifestyle-related diseases are some of the leading morbidities among the Hungarian population. People who want to lose weight often complain that healthy diet is expensive.
Our aim was to quantify the costs of three different types of diet for a three-day period. We compared âtraditional Hungarianâ, low energy, and diabetic diets, considering both energy content and expenses related to lifestyle.
According to our estimation: diabetic (including medication) and âtraditionalâ Hungarian diets were the most expensive. Low energy diet proved to be the most cost-effective despite the extra expenditures of higher physical activity
ElhĂzĂł MagyarorszĂĄg. A tĂșlsĂșly Ă©s az elhĂzĂĄs trendje Ă©s prevalenciĂĄja MagyarorszĂĄgon, 2015.
BevezetĂ©s: A vilĂĄgszerte növekvĆ arĂĄnyĂș elhĂzĂĄs MagyarorszĂĄgon is Ă©szlelhetĆ, populĂĄciĂłs elĆfordulĂĄsĂĄrĂłl az elsĆ nagyszabĂĄsĂș
felmĂ©rĂ©s 1988-ban törtĂ©nt. CĂ©lkitƱzĂ©s: A szerzĆk az eddigi legnagyobb esetszĂĄmĂș hazai elhĂzĂĄsprevalenciavizsgĂĄlataik
eredmĂ©nyeit mutatjĂĄk be, amelyet hĂĄziorvosok Ă©s foglalkozĂĄs-egĂ©szsĂ©gĂŒgyi orvosok rĂ©szvĂ©telĂ©vel bonyolĂtottak
le. MĂłdszer: A 18 Ă©v fölötti magyar lakossĂĄg 0,55%-ĂĄnak, 43 287 fĆ (17 901 fĂ©rfi Ă©s 25 386 nĆ) regisztrĂĄlt
adatait elemeztĂ©k, orszĂĄgosan reprezentatĂv megoszlĂĄsban. ĂsszehasonlĂtottĂĄk a korĂĄbbi hazai vizsgĂĄlatokkal, elemeztĂ©k
a testtömegindex, haskörfogat, iskolåzottsåg, hypertonia és/vagy diabetes jelenléte és az életkor közötti
kapcsolatot. EredmĂ©nyek: ĂsszessĂ©gĂ©ben fĂ©rfiaknĂĄl a tĂșlsĂșly 40%, az elhĂzĂĄs 32%-ban van jelen, mĂg nĆknĂ©l mindkĂ©t
kategĂłria közel 32%-ban. A 18â34 Ă©v közötti Ă©letkori csoportban a fĂ©rfiak 32,7%-a tĂșlsĂșlyos, mĂg 18,2%-uk elhĂzott,
35â59 Ă©v között 40,1% Ă©s 34,4%, 60 Ă©v fölött 43,5%, illetve 38,8%. Ugyanezen korosztĂĄlyi adatok nĆknĂ©l: 19,6 Ă©s
15,7%, 36,8 Ă©s 38,7%, 36,5 Ă©s 39,7%. A testtömegindex-eloszlĂĄsokat Ă©s a hasi elhĂzĂĄs (fĂ©rfiaknĂĄl >102 cm, nĆknĂ©l >88
cm) adatait Ă©vtizedes Ă©letkori csoportokban Ă©s telepĂŒlĂ©stĂpusok szerint is bemutatjĂĄk. A legnagyobb arĂĄnyĂș tĂșlsĂșly a
felsĆfokĂș vĂ©gzettsĂ©gƱ fĂ©rfiaknĂĄl, a legtöbb elhĂzott a legalacsonyabb vĂ©gzettsĂ©gƱ nĆknĂ©l volt. A testtömegindex szerinti
Ă©s hasi elhĂzĂĄs a falvakban volt a legnagyobb arĂĄnyĂș, kĂŒlönösen nĆknĂ©l. A metabolikus betegsĂ©gek jelenlĂ©te
erĆsen korrelĂĄlt a testtömegindexszel, Ă©s inverz mĂłdon az urbanizĂĄciĂł mĂ©rtĂ©kĂ©vel. KövetkeztetĂ©sek: Az elmĂșlt Ă©vtizedekben
a tĂșlsĂșly Ă©s fĆleg az elhĂzĂĄs arĂĄnya jelentĆsen megnĆtt, kĂŒlönösen lĂĄtvĂĄnyosan fĂ©rfiaknĂĄl, szembetƱnĆen a fiatalabbaknĂĄl.
Ez nemcsak orvosi, de komoly nĂ©pegĂ©szsĂ©gĂŒgyi Ă©s gazdasĂĄgi problĂ©mĂĄt is jelent, kezelĂ©se össztĂĄrsadalmi
figyelmet, a jelenleginĂ©l nagyobb szakmapolitikai tĂĄmogatĂĄst igĂ©nyel. Orv. Hetil., 2016, 157(31), 1248â1255
Comparison of clinical characteristics of patients with pandemic SARS-CoV-2-related and community-acquired pneumonias in Hungary â a pilot historical case-control study
The distinction between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)ârelated and community-acquired pneumonias poses significant difficulties, as both frequently involve the elderly. This study aimed to predict the risk of SARS-CoV-2-related pneumonia based on clinical characteristics at hospital presentation. Case-control study of all patients admitted for pneumonia at Semmelweis University Emergency Department. Cases (n = 30) were patients diagnosed with SARS-CoV-2-related pneumonia (based on polymerase chain reaction test) between 26 March 2020 and 30 April 2020; controls (n = 82) were historical pneumonia cases between 1 January 2019 and 30 April 2019. Logistic models were built with SARS-CoV-2 infection as outcome using clinical characteristics at presentation. Patients with SARS-CoV-2-related pneumonia were younger (mean difference, 95% CI: 9.3, 3.2â15.5 years) and had a higher lymphocyte count, lower C-reactive protein, presented more frequently with bilateral infiltrate, less frequently with abdominal pain, diarrhoea, and nausea in age- and sex-adjusted models. A logistic model using age, sex, abdominal pain, C-reactive protein, and the presence of bilateral infiltrate as predictors had an excellent discrimination (AUC 0.88, 95% CI: 0.81â0.96) and calibration (p = 0.27âHosmer-Lemeshow test). The clinical use of our screening prediction model could improve the discrimination of SARS-CoV-2 related from other community-acquired pneumonias and thus help patient triage based on commonly used diagnostic approaches. However, external validation in independent datasets is required before its clinical use
Evaluation of a Partial Genome Screening of Two Asthma Susceptibility Regions Using Bayesian Network Based Bayesian Multilevel Analysis of Relevance
Genetic studies indicate high number of potential factors related to asthma. Based on earlier linkage analyses we selected the 11q13 and 14q22 asthma susceptibility regions, for which we designed a partial genome screening study using 145 SNPs in 1201 individuals (436 asthmatic children and 765 controls). The results were evaluated with traditional frequentist methods and we applied a new statistical method, called Bayesian network based Bayesian multilevel analysis of relevance (BN-BMLA). This method uses Bayesian network representation to provide detailed characterization of the relevance of factors, such as joint significance, the type of dependency, and multi-target aspects. We estimated posteriors for these relations within the Bayesian statistical framework, in order to estimate the posteriors whether a variable is directly relevant or its association is only mediated. With frequentist methods one SNP (rs3751464 in the FRMD6 gene) provided evidence for an association with asthma (OR = 1.43(1.2â1.8); p = 3Ă10â4). The possible role of the FRMD6 gene in asthma was also confirmed in an animal model and human asthmatics. In the BN-BMLA analysis altogether 5 SNPs in 4 genes were found relevant in connection with asthma phenotype: PRPF19 on chromosome 11, and FRMD6, PTGER2 and PTGDR on chromosome 14. In a subsequent step a partial dataset containing rhinitis and further clinical parameters was used, which allowed the analysis of relevance of SNPs for asthma and multiple targets. These analyses suggested that SNPs in the AHNAK and MS4A2 genes were indirectly associated with asthma. This paper indicates that BN-BMLA explores the relevant factors more comprehensively than traditional statistical methods and extends the scope of strong relevance based methods to include partial relevance, global characterization of relevance and multi-target relevance
Rule-Based Models of the Interplay between Genetic and Environmental Factors in Childhood Allergy
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