Lipid and glucose profiles in outpatients and their correlation with anthropometric indices

Santos, Cleusa Lapa; Silva, Claudileide Sá; Araújo, Edvânia César de; Arruda, Ilma Kruze Grande de; Diniz, Alcides da Silva; Cabral, Poliana Coelho

doi:10.1016/j.repce.2012.05.009

Cited by 8 publications

(2 citation statements)

References 21 publications

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“…That small amounts of alcohol could raise TG levels further [29]. Previous studies have shown that WHR and high-fat diet are significantly and positively correlated with high TG levels [66][67][68][69][70]. However, from interactions analyses, we observed no interactions between Mn-TWA levels and smoking effects (both smoking status and pack-years), drinking status, high-fat diet, and the WHR on high TG risk.…”

Section: Discussioncontrasting

confidence: 65%

High manganese exposure decreased the risk of high triglycerides in workers: a cross-sectional study

Luo

Liu

et al. 2020

BMC Public Health

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Background: Manganese (Mn) participates in lipid metabolism. However, the associations between Mn exposure and dyslipidaemia is unclear. Methods: This was a cross-sectional study. Data were collected from the 2017 the Mn-exposed workers healthy cohort (MEWHC). Finally, 803 occupationally Mn-exposed workers included in the study. The workers were divided into two groups. The grouping of this study was based on Mn-Time Weighted Averages (Mn-TWA). The highexposure group included participants with Mn-TWA greater than 0.15 mg/m 3 . The low-exposure group included participants with Mn-TWA less than or equal to 0.15 mg/m 3 . Mn-TWA levels and dyslipidaemia were assessed. Results: After adjustment for seniority, sex, cigarette consumption, alcohol consumption, high-fat diet frequency, medicine intake in the past two weeks, egg intake frequency, drinking tea, WHR, and hypertension, Mn-TWA levels was negatively correlated with high triglycerides (TG) risk in workers overall (OR = 0.51; 95% CI: 0.36, 0.73; p < 0.01). The results of males and females were consistent (OR = 0.53; 95% CI: 0.34, 0.81; p < 0.01) and (OR = 0.47; 95% CI: 0.24, 0.94; p < 0.01), respectively. By performing interactions analyses of workers overall, we observed no significant interactions among confounders. Mn-TWA levels and pack-years on high TG risk (relative excess risk for the interactions (RERI = 2.29, 95% CI: − 2.07, 6.66), (RERI) = 2.98, 95% CI: − 2.30, 8.26). Similarly, smoking status, drinking status, high-fat diet frequency, and Waist-to-Hip Ratio (WHR) showed non-significant interactions with Mn-TWA levels on high TG risk. Conclusions: This research indicates that high Mn exposure was negatively related to high TG risk in workers.

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Section: Discussioncontrasting

confidence: 65%

High manganese exposure decreased the risk of high triglycerides in workers: a cross-sectional study

Luo

Liu

et al. 2020

BMC Public Health

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“…Our study showed that age and DBP were risk factors for CAS, consistent with previous studies ( 4 , 16 ). Previous studies have shown that BMI and abnormal lipid metabolism are closely related ( 17 , 18 ) and are an important cause of CAS. This study found BMI to be an independent risk factor for CAS, consistent with a national cross-sectional study in China ( 11 ).…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a carotid atherosclerosis risk prediction model based on a Chinese population

Huang

Jin

Tian

et al. 2022

Front. Cardiovasc. Med.

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PurposeThis study aimed to identify independent risk factors for carotid atherosclerosis (CAS) and construct and validate a CAS risk prediction model based on the Chinese population.MethodsThis retrospective study included 4,570 Chinese adults who underwent health checkups (including carotid ultrasound) at the Zhenhai Lianhua Hospital, Ningbo, China, in 2020. All the participants were randomly assigned to the training and validation sets at a ratio of 7:3. Independent risk factors associated with CAS were identified using multivariate logistic regression analysis. The least absolute shrinkage and selection operator combined with 10-fold cross-validation were screened for characteristic variables, and nomograms were plotted to demonstrate the risk prediction model. C-index and receiver operating characteristic curves, calibration plots, and decision curve analysis (DCA) were used to evaluate the risk model’s discrimination, calibration, and clinical applicability.ResultsAge, body mass index, diastolic blood pressure, white blood cell count, mean platelet volume, alanine transaminase, aspartate transaminase, and gamma-glutamyl transferase were identified as independent risk factors for CAS. In the training, internal validation, and external validation sets, the risk model showed good discriminatory power with C-indices of 0.961 (0.953–0.969), 0.953 (0.939–0.967), and 0.930 (0.920–0.940), respectively, and excellent calibration. The results of DCA showed that the prediction model could be beneficial when the risk threshold probabilities were 1–100% in all sets. Finally, a network computer (dynamic nomogram) was developed to facilitate the physicians’ clinical operations. The website is https://nbuhgq.shinyapps.io/DynNomapp/.ConclusionThe development of risk models contributes to the early identification and prevention of CAS, which is important for preventing and reducing adverse cardiovascular and cerebrovascular events.

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Association between self-reported sleep duration and serum lipid profile in a middle-aged and elderly population in Taiwan: a community-based, cross-sectional study

et al. 2017

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ObjectivesThe association between sleep duration and serum lipid profile in the middle-aged and the elderly is unclear. The aim of this study was to investigate and evaluate the relationships between sleep duration and levels of serum total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol (HDL-C) and triglycerides in these populations.DesignCross-sectional observational study.SettingCommunity-based investigation in Guishan Township of northern Taiwan.ParticipantsA total of 400 community-dwelling middle-aged and elderly individuals were enrolled. All participants underwent a baseline assessment in 2014, which included anthropometrics, blood samples and self-administered questionnaires. Participants were classified into three groups based on their sleep duration.Outcome measuresMultivariate logistic regression was used to obtain ORs and 95% CIs to assess the relationship between sleep duration and lipid profiles.ResultsParticipant mean age was 64.5 years and 35.3% were men. Subjects with longer (>7 hours) and shorter (<6 hours) nightly sleep duration had a higher prevalence of low HDL-C levels (HDL <40 mg/dL) than those with moderate sleep duration (6–7 hours). Multivariate logistic regression revealed that, compared with individuals with sleep duration of 6–7 hours, the ORs of having low HDL-C were 3.68 (95% CI 1.59 to 8.49) greater for individuals with sleep duration of <6 hours and 2.89 (95% CI 1.10 to 7.61) greater for individuals with sleep duration of >7 hours.ConclusionsThere was a U-shaped relationship between sleep duration and HDL-C levels. Sleep duration >7 hours or <6 hours increased the risk of low serum HDL-C levels.

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Lipid and glucose profiles in outpatients and their correlation with anthropometric indices

Cited by 8 publications

References 21 publications

High manganese exposure decreased the risk of high triglycerides in workers: a cross-sectional study

High manganese exposure decreased the risk of high triglycerides in workers: a cross-sectional study

Development and validation of a carotid atherosclerosis risk prediction model based on a Chinese population

Association between self-reported sleep duration and serum lipid profile in a middle-aged and elderly population in Taiwan: a community-based, cross-sectional study

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