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1.
BMC Cardiovasc Disord ; 24(1): 193, 2024 Apr 04.
Artigo em Inglês | MEDLINE | ID: mdl-38575889

RESUMO

BACKGROUND: This study explores the intricate relationship between smoking, cardiovascular disease (CVD) risk factors and their combined impact on overall CVD risk, utilizing data from NHANES 2011-2018. METHODS: Participants were categorized based on the presence of CVD, and we compared their demographic, social, and clinical characteristics. We utilized logistic regression models, receiver operating characteristics (ROC) analysis, and the chi-squared test to examine the associations between variables and CVD risk. RESULTS: Significant differences in characteristics were observed between those with and without CVD. Serum cotinine levels exhibited a dose-dependent association with CVD risk. The highest quartile of cotinine levels corresponded to a 2.33-fold increase in risk. Smoking, especially in conjunction with lower HDL-c, significantly increases CVD risk. Combinations of smoking with hypertension, central obesity, diabetes, and elevated triglycerides also contributed to increased CVD risk. Waist-to-Height Ratio, Visceral Adiposity Index, A Body Shape Index, Conicity Index, Triglyceride-Glucose Index, Neutrophil, Mean platelet volume and Neutrophil to Lymphocyte ratio demonstrated significant associations with CVD risk, with varying levels of significance post-adjustment. When assessing the combined effect of smoking with multiple risk factors, a combination of smoking, central obesity, higher triglycerides, lower HDL-c, and hypertension presented the highest CVD risk, with an adjusted odds ratio of 14.18. CONCLUSION: Smoking, when combined with central obesity, higher triglycerides, lower HDL-c, and hypertension, presented the highest CVD risk, with an adjusted odds ratio of 14.18.


Assuntos
Doenças Cardiovasculares , Hipertensão , Humanos , Fumar/efeitos adversos , Fumar/epidemiologia , Doenças Cardiovasculares/diagnóstico , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/complicações , Fatores de Risco , Obesidade Abdominal/diagnóstico , Obesidade Abdominal/epidemiologia , Obesidade Abdominal/complicações , Inquéritos Nutricionais , Cotinina , Hipertensão/complicações , Obesidade/complicações , Fatores de Risco de Doenças Cardíacas , Triglicerídeos
2.
Acta Otolaryngol ; 139(6): 473-478, 2019 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-31035843

RESUMO

BACKGROUND: Superior semicircular canal dehiscence syndrome (SSCD) is a current diagnosis that is due to a loss of bone covering the superior semicircular canal (SSC). This results in pressure-/sound- induced vertigo and oscillopsia. OBJECTIVE: To find the variation of the thickness of the bone that covers the Superior Semicircular Canal with relation to age and gender among the Chinese descents. MATERIALS AND METHODS: Three hundred and eleven temporal bone Cone Beam Computed Tomography (CBCT) images of patients who attended Otology clinic at Second Hospital of Shandong University from January, 2017 to April, 2018 were retrospectively studied. The images were reconstructed in the line of Poschl and the thinnest area of the bone covering the SSC was taken. RESULTS: We included 172 (55.31%) females and 139 (44.69%) males. Mean age was 41 years. Overall mean difference in thickness was found to be -0.0210. There was no significant difference between the female and male bone thickness (p = .7113). With age the mean difference was 0.0801 (p = .1557) which was not statistically significant. CONCLUSION AND SIGNIFICANCE: There was no significant change in bone thickness with advancing age. CBCT is the best method of assessing SSCD.


Assuntos
Densidade Óssea/fisiologia , Reabsorção Óssea/diagnóstico por imagem , Tomografia Computadorizada de Feixe Cônico/métodos , Doenças do Labirinto/diagnóstico por imagem , Canais Semicirculares/diagnóstico por imagem , Adulto , Fatores Etários , Idoso , Reabsorção Óssea/epidemiologia , China , Feminino , Hospitais Universitários , Humanos , Incidência , Doenças do Labirinto/epidemiologia , Doenças do Labirinto/patologia , Masculino , Pessoa de Meia-Idade , Modelos de Riscos Proporcionais , Estudos Retrospectivos , Medição de Risco , Canais Semicirculares/patologia , Índice de Gravidade de Doença , Fatores Sexuais
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