scholarly journals Dietary inflammatory index and metabolic syndrome in Iranian population (Fasa Persian Cohort Study)

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Mohammad Ariya ◽  
Hadi Raeisi Shahraki ◽  
Mojtaba Farjam ◽  
Elham Ehrampoush ◽  
Ehsan Bahramali ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Cohort Study ◽  
Multinomial Logistic Regression ◽  
Cross Sectional Study ◽  
Fars Province ◽  
Cross Sectional ◽  
Inflammatory Index ◽  
Present Cross Sectional Study ◽  
Unit Increase

Abstract Metabolic syndrome (MetS) is one of the risk factors for all causes of mortality. Inflammation is an important risk factor for MetS. The present cross-sectional study aimed to investigate the relationship between MetS and pro-inflammatory diet by using the food inflammation index (DII). This study consists of 10,017 participants with an age range of 35 to 70 years. The Fasa Cohort Study (FACS) population (Fars Province, Iran) was used to collect data. The DII was estimated according to Shivappa et al. method using a validated 125-item FFQ. To determine the association between MetS components and DII Logistic regression was used (P > 0.05). The overall mean of DII was − 0.89 ± 1.74. However, adjusted multinomial logistic regression indicates each unit increase in waist circumference (WC) (OR 0.98, 95% CI 0.96–0.99) and HDL-C (OR 0.99, 95% CI 0.98–0.99) was associated with significantly decreased odds of being in the 4th DII quartile in men and all participations respectively, there is no statistically significant relationship between MetS and DII. Overall, although people in the highest quartile of inflammatory food consumption had more likely to develop MetS, this relationship was not statistically significant among males and females.

scholarly journals Breakfast skipping alone and in interaction with inflammatory based quality of diet increases the risk of higher scores of psychological problems profile in a large sample of Iranian adults

2021 ◽  
Vol 10 ◽  
Author(s):  
Fahimeh Haghighatdoost ◽  
Awat Feizi ◽  
Ahmad Esmaillzadeh ◽  
Ammar Hassanzadeh Keshteli ◽  
Hamid Afshar ◽  
...  
Keyword(s):  
Multinomial Logistic Regression ◽  
Cross Sectional Study ◽  
Psychological Problems ◽  
Dietary Intakes ◽  
Cross Sectional ◽  
Inflammatory Index ◽  
Breakfast Skipping ◽  
Breakfast Eating ◽  
Profile Score ◽  
The Impact

Abstract The authors investigate the association of breakfast skipping and its interaction with a dietary inflammatory index (DII) with the severity of psychological disorders. A total of 2876 Iranian general adults were enrolled in this cross-sectional study. Psychological problems profile score was calculated using the regression method in the framework of factor analysis based on depression, anxiety and psychological distress. The higher scores indicate more severity of mental problem. The frequency of breakfast eating in a week was assessed. Dietary intakes were assessed using a food-frequency questionnaire and twenty-seven items were included in the calculation of DII. In the crude model, individuals who ate breakfast seldom had the highest odds for having worse psychological problems profile (OR 3⋅59; 95 % CI 2⋅52, 5⋅11). Adjustment for various confounders did not change the associations (OR 3⋅35; 95 % CI 2⋅11, 5⋅32). In the adjusted multinomial logistic regression model, participants with high DII (>median) who skipped breakfast had highest risk of being in the higher tertiles of psychological problems profile compared with those who had low DII (<median) and ate breakfast (OR 6⋅67; 95 % CI 3⋅45, 12⋅90). Similar results were observed in women and men regarding the impact of breakfast skipping alone and interaction with DII on scores of psychological problems profile. Breakfast skipping is associated with higher risk of psychological problems. Similar findings were obtained in the stratified analysis by sex. Our findings confirmed that the DII and breakfast skipping are associated with mental health, interactionally. Further longitudinal studies are needed to confirm the true link between breakfast skipping and psychological problems.

Abstract TMP55: Polysomnographic and Sleep-related Variables Associated to Leukoaraiosis in Patients with Obstructive Sleep Apnea

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Kevin R Duque ◽  
Brian Villafuerte ◽  
Fiorella Adrianzen ◽  
Rodrigo Zamudio ◽  
Andrea Mendiola ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Logistic Regression ◽  
Sleep Apnea ◽  
Multinomial Logistic Regression ◽  
Sleep Time ◽  
Cross Sectional Study ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Medical Histories

Introduction: Obstructive sleep apnea (OSA) is a biological plausible risk factor for leukoaraiosis (LA). We tested the hypothesis that polysomnographic (PSG) and sleep-related variables are associated to LA in OSA patients. Methods: Cross-sectional study in which PSG records, medical histories and brain 1.5T MRI were collected from all consecutive patients who had attended a Sleep Medicine Center between 2009-2014. LA was graded from 0 to 9 with the ’Atherosclerosis Risk In Communities’ study scale. OSA was defined by The International Classification of Sleep Disorders, 2014, and its severity categorizing according to apnea-hypopnea index (AHI, <15 mild, 15 to <30 moderate, 30 to <45 severe and ≥45 very severe). A multinomial logistic regression was performed to describe the association between OSA severity and LA (divided into 2 groups: mild-to-moderate LA and non-to-minimal LA). The covariates for all regression models were age, gender, BMI, hypertension, ischemic stroke, myocardial infarction, diabetes and pack-year of smoking. Results: From 82 OSA patients (77% male; mean age 58±9 years, range 19-91), 54 (66%) had LA. Mild-to-moderate LA was found in 13 patients (8 mild and 5 moderate LA) and non-to-minimal LA in 69 (41 minimal and 28 non LA). Spearman’s correlation coefficient between AHI and LA grade was 0.41 (p<0.001). Furthermore, the higher OSA severity, the higher LA severity (p<0.001, for Jonckheere-Terpstra test for ordered alternatives). In the multinomial logistic regression model adjusted for cofounders, severe OSA patients had higher risk for mild or moderate LA (HR 12.8, 95% IC 1.2-141) compared to mild-to-moderate OSA patients. Additionally, self-reported habitual sleep duration from 7 to 9 hours (HR 0.36, 90% IC 0.14-0.90) and proportion of time in apnea/hypopnea over total sleep time (HR 1.04 for one unit increase, 90% IC 1.01-1.08) could be associated with the presence of LA (adjusted only for age and gender). In a multiple regression analysis with all the aforementioned variables, age (p=0.002), diabetes (p=0.003), and OSA severity (p=0.04) were predictors of the presence of LA. Conclusion: Patients with severe OSA had higher risk for mild to moderate LA when compared to patients with mild or moderate OSA.

scholarly journals Is there an association between ageist attitudes and frailty?

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Douglas Salguero ◽  
Juliana Ferri-Guerra ◽  
Nadeem Y. Mohammed ◽  
Dhanya Baskaran ◽  
Raquel Aparicio-Ugarriza ◽  
...  
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Multinomial Logistic Regression ◽  
Frailty Index ◽  
Cross Sectional Study ◽  
Community Dwelling ◽  
Outcome Variable ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Frailty Status

Abstract Background Frailty is defined as a state of vulnerability to stressors that is associated with higher morbidity, mortality and healthcare utilization in older adults. Ageism is “a process of systematic stereotyping and discrimination against people because they are old.” Explicit biases involve deliberate or conscious controls, while implicit bias involve unconscious processes. Multiple studies show that self-directed ageism is a risk factor for increased morbidity and mortality. The purpose of this study was to determine whether explicit ageist attitudes are associated with frailty in Veterans. Methods This is a cross-sectional study of Veterans 50 years and older who completed the Kogan’s Attitudes towards Older People Scale (KAOP) scale to assess explicit ageist attitudes and the Implicit Association Test (IAT) to evaluate implicit ageist attitudes from July 2014 through April 2015. We constructed a frailty index (FI) of 44 variables (demographics, comorbidities, number of medications, laboratory tests, and activities of daily living) that was retrospectively applied to the time of completion of the KAOP and IAT. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by multinomial logistic regression models with frailty status (robust, prefrail and frail) as the outcome variable, and with KAOP and IAT scores as the independent variables. Age, race, ethnicity, median household income and comorbidities were considered as covariates. Results Patients were 89.76% male, 48.03% White, 87.93% non-Hispanic and the mean age was 60.51 (SD = 7.16) years. The proportion of robust, pre-frail and frail patients was 11.02% (n = 42), 59.58% (n = 227) and 29.40% (n = 112) respectively. The KAOP was completed by 381 and the IAT by 339 participants. In multinomial logistic regression, neither explicit ageist attitudes (KAOP scale score) nor implicit ageist attitudes (IAT) were associated with frailty in community dwelling Veterans after adjusting for covariates: OR = .98 (95% CI = .95–1.01), p = .221, and OR:=.97 (95% CI = .37–2.53), p = .950 respectively. Conclusions This study shows that neither explicit nor implicit ageist attitudes were associated with frailty in community dwelling Veterans. Further longitudinal and larger studies with more diverse samples and measured with other ageism scales should evaluate the independent contribution of ageist attitudes to frailty in older adults.

scholarly journals The Study of Clustering Effects of Behavior Risk Factors in Patients with Metabolic Syndrome in Southern China: A Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Huiwu Han ◽  
Fan Zheng ◽  
Weiwei Dai ◽  
Hua Peng ◽  
Shi Zhou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Salty Taste ◽  
Clustering Effect

Objectives. Metabolic syndrome (MetS) is now becoming a serious public health threat. Some behaviors risk factors were considered to be associated with MetS and interacted to adversely affect MetS. However, the clustering effects of behavior risk factors of MetS among Chinese population remain unclear. The aim of this study is to observe the behavior risk factors and their clustering effects of MetS in China. Methods. A cross-sectional study design was used. Subjects were recruited in the departments of Cardiology Clinic, Endocrine Clinic, and Health Management from March to December 2019. A demographic sheet was designed to collect the demographic and clinical characteristics of the subjects. International Physical Activity Questionnaire-Short was applied to evaluate the level of PA in this study. Other behavior risk factors were observed by the questionnaire. The stepwise logistic regression analysis was performed to identify the determinants of MetS. The multiple logistic regression analysis was used to analyze the clustering effects of behavior risk factors in MetS. Results. There are a total of 532 eligible subjects (56.6% females; mean age was 48.4±15.3 years), and approximately 33.3% were diagnosed as MetS. The subjects with a smoking habit (heavy and long-time history) had a 1.833-fold higher risk for MetS than their counterparts (none and light smoking), and the subjects that preferred salty taste had a 1.626-fold higher risk for MetS than the comparison cohort. Smoking and alcohol drinking had the highest clustering effect on MetS among the behavior risk factors. Conclusions. The main finding of this study was that smoking and salty taste preference were the independent determinants of MetS. Smoking and alcohol consumption had the highest clustering effect on southern Chinese MetS.

scholarly journals Association between Dietary Inflammatory Index, C-Reactive Protein and Metabolic Syndrome: A Cross-Sectional Study

Nutrients ◽  
2018 ◽  
Vol 10 (7) ◽  
pp. 831 ◽  
Author(s):  
Zhongxia Ren ◽  
Ai Zhao ◽  
Yan Wang ◽  
Liping Meng ◽  
Ignatius Szeto ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cross Sectional Study ◽  
Dietary Inflammatory Index ◽  
Sectional Study ◽  
C Reactive Protein ◽  
Cross Sectional ◽  
Inflammatory Index ◽  
Reactive Protein

scholarly journals Menopausal hormone therapy: Characterising users in an Australian national cross-sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0253725
Author(s):  
Louiza S. Velentzis ◽  
Sam Egger ◽  
Emily Banks ◽  
Karen Canfell
Keyword(s):  
Logistic Regression ◽  
Hormone Therapy ◽  
Multinomial Logistic Regression ◽  
Personal Characteristics ◽  
Cross Sectional Study ◽  
Menopausal Symptoms ◽  
Menopausal Hormone Therapy ◽  
Bilateral Oophorectomy ◽  
Cross Sectional Survey ◽  
Cross Sectional

Menopausal hormone therapy (MHT) is effective for menopausal symptoms, however, its use is also associated with risks of serious health conditions including breast, ovarian and endometrial cancer, stroke and venous thromboembolism. MHT-related health risks increase with longer durations of use. In Australia, while overall MHT use fell when risk-related findings were published in 2002, a significant number of women continue using MHT long-term. We aimed to examine socio-demographic, health-related and lifestyle characteristics in relation to post-2002 MHT use, and to compare use for <5 and ≥5 years. Data from 1,561 participants from an Australian, national, cross-sectional survey of women aged 50–69 in 2013 were analysed. Odds ratios (ORs) were calculated using logistic regression for characteristics related to overall MHT use post-2002 and multinomial logistic regression for associations between MHT duration of use [never/<5 years/≥5 years] and personal characteristics, adjusting for sociodemographic, reproductive, health and lifestyle factors. Post-2002 MHT use was associated with increasing age (p-trend<0.001), hysterectomy versus no hysterectomy (OR:2.55, 95%CI = 1.85–3.51), bilateral oophorectomy vs no oophorectomy (OR:1.66, 95%CI = 1.09–2.53), and ever- versus never-use of therapies other than MHT for menopausal symptoms (OR:1.93, 95%CI = 1.48–2.57). Women with prior breast cancer (OR:0.35, 95%CI = 0.17–0.74) and with more children (p-trend = 0.034) were less likely than other women to use MHT. Prior hysterectomy was more strongly associated with MHT use for ≥5 years than for <5 years (p = 0.004). Ever-use of non-MHT menopausal therapies was associated with MHT use for <5 years but not with longer-term use (p = 0.004). This study reinforces the need for MHT users and their clinicians to re-evaluate continued MHT use on an ongoing basis.

Hyperhomocysteinemia in association with male gender, advanced age, uric acid and metabolic syndrome: A retrospective cross-sectional study

2019 ◽  
Author(s):  
Po-Ju Chen ◽  
Yueh-Chien Lu ◽  
Pei-Ming Wang ◽  
Song-Seng Loke
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Uric Acid ◽  
Cross Sectional Study ◽  
Male Gender ◽  
Advanced Age ◽  
Stepwise Logistic Regression ◽  
Sectional Study ◽  
Cross Sectional

Abstract Background Elevated homocysteine level has been proposed as a risk factor for cardiovascular disease. The aim of this study is to evaluate the connection between hyperhomocysteinemia with other factors for early detection of possible cardiovascular disease. Methods The data in this retrospectively designed cross-sectional study was retrieved from the health examination database in a medical center located in southern Taiwan in 2016. The correlation of hyperhomocysteinemia with sex, age, body mass index, waist circumference, lipid profile, blood pressure, uric acid, high sensitivity C-reactive protein and lipoprotein were investigated. Both simple and multiple stepwise logistic regression models were used for the assessment of their connection. Results A total of 878 subjects with mean age of 55.4 ± 10.8 years were included in the current study and 73 (9.1%) participants had elevated homocysteine levels. Simple logistic regression analysis showed elevated Hcy was significantly associated with sex (OR 0.11, 95% CI 0.04-0.31, P < 0.001), age (OR 1.03, 95% CI 1.00-1.05, P < 0.035), waist circumference (OR 1.04, 95% CI 1.02-1.06, P = 0.001), HDL-C (OR 0.97, CI 0.95-0.99, P = 0.011), triglyceride (OR 1.00, CI 1.00-1.01, P = 0.002), SBP (OR 1.02, CI 1.01-1.03, P = 0.004), DBP (OR 1.04, CI 1.02-1.06, P = 0.001), sugar level (OR 1.01, CI 1.00-1.02, P = 0.021), uric acid (OR 1.39, CI 1.20-1.60, P < 0.001) and the presence of metabolic syndrome (OR 1.81, CI 1.12-2.93, P = 0.016). Multiple stepwise logistic regression analysis was applied and the result showed that male gender (OR 0.15, 95% CI 0.05-0.43, P < 0.001), advanced age (OR 1.03, 95% CI 1.00-1.05, P < 0.036), triglycerides (OR 1.002, 95% CI 1.001-1.004, P = 0.022), systolic blood pressure (OR 1.02, 95% CI 1.00-1.03, P = 0.023) and uric acid (OR 1.26, 95% CI 1.07-1.47, P = 0.005) were significantly associated with the elevation of plasma homocysteine. Conclusions Several factors are associated with hyperhomocysteinemia in asymptomatic subjects including sex, age, uric acid and metabolic syndrome components. Among these factors, male, advanced age, systolic blood pressure, plasma level of triglyceride and uric acid were independently associated with hyperhomocysteinemia.

Association Between Diabetic Retinopathy, Dietary Inflammatory Index and Metabolic Syndrome in Azar Cohort Study

2020 ◽  
Author(s):  
Mohammad hossein Somi ◽  
Zeinab Nikniaz ◽  
Mohammad Asghari Jafarabadi ◽  
Amir Taher Eftekharsadat ◽  
Mohammad Mirzaei ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Diabetic Retinopathy ◽  
Cohort Study ◽  
Proliferative Diabetic Retinopathy ◽  
Diabetic Patients ◽  
Dietary Inflammatory Index ◽  
Cross Sectional ◽  
Inflammatory Index

Abstract Background : The aim of present study was to evaluate the association between diabetic retinopathy (DR), dietary inflammatory index (DII), and metabolic syndrome (MetS) in patients with type 2 diabetes in a cohort study in Iran. Methods: This cross-sectional study was a part of the large Azar eye cohort study that included 1378 patients with type 2 diabetes. To diagnose DR, two mydriatric fundus photographs were captured using a digital fundus camera. The DR severity was classified as non-proliferative diabetic retinopathy (NPDR) or proliferative diabetic retinopathy (PDR). MetS was determined on the basis of the ATPIII criteria. DII was calculated according to Shivappa et al. method. Results: Of 1378 diabetic patients, 185 (13.4%) had NPDR and 142 (10.3%) had PDR. The risk of NPDR and PDR increased by 2.65-fold and 2.01-fold, respectively, in patients having blood glucose levels that fell outside the recommended range. There was no statistically significant relationship between Mets, Mets components, and DII in NPDR and PDR. Conclusion: The results suggest that intensive glycemic control, rather than conventional control, may help reduce the progression of DR. It seems that longitudinal studies and clinical trials for evaluating role of DII in DR are necessary.

Breakfast consumption is inversely associated with metabolic syndrome in a sample of Iranian adults

2020 ◽  
Author(s):  
Elnaz Lorzadeh ◽  
Zohreh Sadat Sangsefidi ◽  
Masoud Mirzaei ◽  
Mahdieh Hosseinzadeh
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Dietary Habits ◽  
Adult Population ◽  
Middle Eastern ◽  
Population Based ◽  
Cross Sectional Study ◽  
Health Study ◽  
Cross Sectional ◽  
Breakfast Consumption

Abstract Background: Central obesity, insulin resistance, dyslipidemia and hypertension are the core components of metabolic syndrome (MetS) which is coincident with unhealthy dietary habits in the Middle-Eastern countries. The aim of this study was to explore the association between dietary habits and metabolic syndrome of adult population living in Yazd Greater Area, Iran. Methods: This is a cross-sectional study which uses the data of a population-based cohort study on Iranian adults, known as Yazd Health Study (YaHS). The relationship between dietary habits and metabolic syndrome among adults (n= 2896) were analyzed using multiple logistic regression method. Results: Outcomes from logistic regression examining show that breakfast consumption has a significant inverse effect on the occurrence of metabolic syndrome after adjustment for age, education level, physical activity statue, history of chronic diseases and smoking (odds ratio (OR)= 0.38, 95% confidence interval (CI)= 0.14, 0.97). This effect remains significant even after adjustment for body mass index (BMI) and reveals that odds of having MetS is 69 % lower in breakfast consumers in contrast to non-consumers (OR=0.31, 95% CI= 0.11, 0.87). However, no significant relationship was observed between other dietary habits and MetS after adjustment for all potential confounders Conclusions: This study revealed that eating breakfast has an inverse relationship with metabolic syndrome. Finding out stronger evidence in relation between dietary habits and metabolic syndrome, more researches especially population-based cohort studies are needed to be conducted.

scholarly journals Hyperuricemia is associated with metabolic syndrome in the community very elderly in Chengdu

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Gang Huang ◽  
Junbo Xu ◽  
Tingjie Zhang ◽  
Lin Cai ◽  
Hanxiong Liu ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Metabolic Diseases ◽  
International Diabetes Federation ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Very Elderly ◽  
Cross Sectional ◽  
The Metabolic Syndrome ◽  
Elderly Chinese

Abstract Hyperuricemia is a risk factor for cardiovascular metabolic diseases. However, in the very elderly, the relationship between hyperuricemia and the metabolic syndrome (MetS) is not yet clear. This study was aimed to investigate the potential association between hyperuricemia and MetS in community very elderly in Chengdu. In this cross-sectional study, 1056 very elderly in the community were enrolled. Serum uric acid (SUA), fast plasma glucose, triglycerides and high–density lipoprotein cholesterol were measured, and then MetS components were calculated. Logistic regression models were used to explore risk factors for MetS in the very elderly. Finally, 1035 participants were included in analysis whose ages ranged between 80 and 100 with a mean age of 83.6 ± 3.4 years. The mean SUA level was 356.2 ± 95.0 µmol/L. The estimated prevalence of MetS in the very elderly was 25.0% vs. 21.6% (international diabetes federation (IDF) criteria vs. Chinese guideline), which was significantly higher for women (IDF criteria:17.3% in men vs 33.6% in women, p < 0.001). Logistic regression has found that participants with hyperuricemia (SUA level > 416 µmol/L in men and > 357 µmol/L in women) had a higher risk (IDF criteria: odds ratio (OR): 2.136, 95% confidence interval(CI): 1.525–2.993, p < 0.001. Chinese guideline: OR: 1.769, 95%CI: 1.249–2.503, p = 0.001) of MetS in very elderly Chinese. MetS is common in the community of very elderly Chinese in Chengdu. Hyperuricemia is associated with MetS in general very elderly and lifestyle changing should also be considered in the very elderly.

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