J Inflamm Res
Department of Endocrinology, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, People's Republic of China.
Published: September 2024
Objective: This retrospective cohort study was designed to evaluate the association between eight systemic inflammation indicators at baseline and the metabolically unhealthy (MU) phenotype after two years of follow-up.
Methods: Participants were defined as metabolically healthy (MH) if they met 0-2 of the criteria and metabolically unhealthy (MU) if they met ≥ 3 of the criteria. A many of 4175 subjects aged 20-80 years with a metabolically healthy (MH) phenotype at baseline were enrolled in the study. We compared the clinical characteristics between women and men enrolled at baseline according to the metabolic phenotype at follow-up. The associations between baseline inflammation indicators and MU status at follow-up were evaluated using logistic regression analysis.
Results: 922 (22.08%) developed new-onset MU symptoms during follow-up. Logistic regression analysis found that most inflammation indicators were significantly associated with MU phenotype at follow-up, aside from the LMR and SII. After adjusting for potential confounders, only the correlations between CRP level, neutrophil count, and MU phenotype reached significance. In comparison to the control group with a CRP of <0.50 mg/L, the odds ratios (ORs) and 95% confidence intervals (CIs) were 1.61 (1.25-2.09), 1.49 (1.15-1.94), and 1.68 (1.30-2.18) for individuals with CRP levels of 0.50-0.90 mg/L, 0.91-1.72 mg/L, and above 1.72 mg/L, respectively. In the population with a neutrophil count <5.00 ×10 cells/L, the neutrophil count correlated positively and significantly with the MU phenotype. In comparison to the control group with a neutrophil count of <2.75 × 10 cells/L, the ORs and 95% CIs were 1.65 (1.30-2.09) in the population with neutrophil count >4.17 × 10 cells/L.
Conclusion: CRP and neutrophil counts positively correlated with the risk of MU phenotype in Chinese subjects. These composite inflammatory markers (NLR, PLR, LMR, and SII) provide limited advantages for predicting MU risks compared to CRP.
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http://dx.doi.org/10.2147/JIR.S474201 | DOI Listing |
BMC Public Health
January 2025
Amsterdam UMC location Vrije Universiteit Amsterdam, Public and Occupational Health, De Boelelaan 1117, Amsterdam, the Netherlands.
Background: Developing interventions along with the population of interest using systems thinking is a promising method to address the underlying system dynamics of overweight. The purpose of this study is twofold: to gain insight into the perspectives of adolescents regarding: (1) the system dynamics of energy balance-related behaviours (EBRBs) (physical activity, screen use, sleep behaviour and dietary behaviour); and (2) underlying mechanisms and overarching drivers of unhealthy EBRBs.
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J Agric Food Chem
January 2025
College of Food Science and Technology, Guangdong Ocean University, Zhanjiang, Guangdong 524000, People's Republic of China.
2-Amino-3-methylimidazole [4,5-] quinoline (IQ) is a kind of heterocyclic amine (HCAs) with high carcinogenicity in hot processed meat. Rutin (Ru) is a flavonoid compound with anti-inflammatory and antioxidant properties. However, whether Ru is scatheless under IQ-stimulated potential unhealthy conditions, especially liver function, in vivo, is unknown.
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January 2025
Pediatric Department, School of Medicine, University of Ioannina, 45500 Ioannina, Greece.
Background/objectives: Some individuals with obesity may exhibit fewer metabolic disturbances and face a lower long-term risk of complications; however, the existence of this so-called "metabolically healthy obesity" (MHO) compared to "metabolically unhealthy obesity" (MUO) remains controversial. We hypothesized that children with MHO might have a more favorable profile than children with MUO. Markers of glucose metabolism and insulin sensitivity were compared between children and adolescents diagnosed with MHO and MUO.
View Article and Find Full Text PDFInt J Environ Res Public Health
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Discipline of Nutrition and Dietetics, Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.
Often referred to as 'the last unknown', Papua New Guinea's largely unexplored environments across its four distinct regions, the Highlands, New Guinea Islands, Momase, and Southern, exhibit remarkable diversity. Understanding this diversity is significant in contextualising the risk factors associated with developing non-communicable diseases. This review aims to map and summarise the literature to provide region-specific prevalence data for risk factors and non-communicable diseases.
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Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
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