Factor Analysis of Metabolic Syndrome Components in an Iranian Non-Diabetic Adult Population: A Population-Based Study from the North of Iran

Background: We aimed to estimate the exploratory factor analysis (EFA) of metabolic syndrome components based on variables including gender, BMI, and age groups in a population-based study with large sample size. Methods: This study was conducted on 10663 individuals 40-70 yr old in Phase 1 of the Persian Kharameh cohort study conducted in 2014-2017. EFA of the metabolic syndrome components, including waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), triglyceride (TG), high-density lipoprotein (HDL) and fasting blood sugar (FBS), was performed on all participants by gender, BMI (Body Mass Index), and age groups. Results: EFA results in the whole population based on eigenvalues greater than one showed two factors explaining 56.06% of the total variance. Considering factor loadings higher than 0.3, the first factor included: DBP, SBP, and WC, named as hypertension factor. The second factor also included TG, negative-loaded HDL, FBS, and WC, named as lipid factor. Almost similar patterns were extracted based on subgroups. Conclusion: MetS is a multi-factorial syndrome. Both blood pressure and lipid had a central role in this study and obesity was an important factor in both ones. Hypertension, having the highest factor loading, can generally be a valuable screening parameter for cardiovascular and metabolic risk assessment.

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Dietary and lifestyle inflammatory scores are associated with increased risk of metabolic syndrome in Iranian adults

Diabetology & Metabolic Syndrome ◽

10.1186/s13098-021-00648-1 ◽

2021 ◽

Vol 13 (1) ◽

Author(s):

Hossein Farhadnejad ◽

Karim Parastouei ◽

Hosein Rostami ◽

Parvin Mirmiran ◽

Fereidoun Azizi

Keyword(s):

Metabolic Syndrome ◽

Positive Association ◽

Population Based ◽

Population Based Study ◽

Logistic Regression Models ◽

Increased Risk ◽

Confounding Variables ◽

Adjusted Model ◽

Diet And Lifestyle

Abstract Background In the current study, we aimed to investigate the association of dietary inflammation scores (DIS) and lifestyle inflammation scores (LIS) with the risk of metabolic syndrome (MetS) in a prospective population-based study. Methods A total of 1625 participants without MetS were recruited from among participants of the Tehran Lipid and Glucose Study(2006–2008) and followed a mean of 6.1 years. Dietary data of subjects were collected using a food frequency questionnaire at baseline to determine LIS and DIS. Multivariable logistic regression models, were used to calculate the odds ratio (ORs) and 95 % confidence interval (CI) of MetS across tertiles of DIS and LIS. Results Mean ± SD age of individuals (45.8 % men) was 37.5 ± 13.4 years. Median (25–75 interquartile range) DIS and LIS for all participants was 0.80 (− 2.94, 3.64) and 0.48 (− 0.18, − 0.89), respectively. During the study follow-up, 291 (17.9 %) new cases of MetS were identified. Based on the age and sex-adjusted model, a positive association was found between LIS (OR = 7.56; 95% CI 5.10–11.22, P for trend < 0.001) and risk of MetS, however, the association of DIS and risk of MetS development was not statistically significant (OR = 1.30;95% CI 0.93–1.80, P for trend = 0.127). In the multivariable model, after adjustment for confounding variables, including age, sex, body mass index, physical activity, smoking, and energy intake, the risk of MetS is increased across tertiles of DIS (OR = 1.59; 95% CI 1.09–2.33, P for trend = 0.015) and LIS(OR = 8.38; 95% CI 5.51–12.7, P for trend < 0.001). Conclusions The findings of the current study showed that greater adherence to LIS and DIS, determined to indicate the inflammatory potential of diet and lifestyle, are associated with increased the risk of MetS.

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Systemic Antibiotics and Obesity: Analyses from a Population-Based Cohort

Journal of Clinical Medicine ◽

10.3390/jcm10122601 ◽

2021 ◽

Vol 10 (12) ◽

pp. 2601

Author(s):

So Young Park ◽

Morena Ustulin ◽

SangHyun Park ◽

Kyung-Do Han ◽

Joo Young Kim ◽

...

Keyword(s):

Metabolic Syndrome ◽

Adult Population ◽

Antibiotic Use ◽

Population Based ◽

Obesity Risk ◽

Gram Negative ◽

Korean Adult ◽

Korean National Health Insurance ◽

Gram Negative Organisms ◽

Systemic Antibiotics

Background: In this study, we analyzed the association between antibiotic use and obesity and metabolic syndrome (MS) in a Korean adult population. Methods: Subjects using the Korean National Health Insurance Service sample cohort were retrospectively analyzed in 2015. The differences in obesity and metabolic syndrome (MS) status were compared and analyzed according to duration of systemic antibiotic treatment in the previous 10 years (non-users, 1st, 2nd, and 3rd tertile). Results: Subjects who used systemic antibiotics for longer periods were older, satisfied more criteria for MS, and had more comorbidities than non-users (non-users vs. 3rd tertile, p < 0.0001 for all). After adjusting for confounding factors, the risk of obesity was higher in subjects who used systemic antibiotics for longer periods than in non-users (non-users vs. 3rd tertile, OR (odds ratio) (95% CI (confidence interval)); 1.20 (1.12–1.38)). The criteria for MS were more satisfied in the 3rd tertile than in non-users. A higher obesity risk was also found in subjects treated with antibiotics targeting Gram-negative organisms than in those targeting Gram-positive organisms. Conclusion: The risk of obesity was higher in subjects who took systemic antibiotics more frequently. The risk was more prominent when they took antibiotics targeting Gram-negative bacteria.

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