BackgroundOxidative stress has been implicated in many chronic inflammatory diseases, including periodontitis. To date, however, only a few bibliometric analyses have systematically studied this field. This work sought to visualize research hot spots and trends in oxidative stress associated with periodontitis from 1987 to 2022 through bibliometric approaches.MethodsThe Web of Science Core Collection was searched to retrieve relevant publications. HistCite, VOSviewer, and CiteSpace were used to perform bibliometric analysis visually in terms of annual output, active countries, prolific institutions, authors, core journals, co-cited references, and co-occurrence of keywords.ResultsA total of 1654 documents were selected for analysis. From 1 January 1987 to 11 June 2022, the number of annual publications related to oxidative stress in periodontitis exhibited an upward trend. The most prolific country was China with 322 documents, but the United States had 11334 citations. Okayama University, University of Birmingham, and Sichuan University were the most active and contributive institutions. The Journal of Periodontology ranked first in terms of numbers of publications and citations. Ekuni was the most prolific author, while Chapple ranked first among co-cited authors. The Role of Reactive Oxygen and Antioxidant Species in Periodontal Tissue Destruction published by Chapple was the most frequently co-cited reference. Keywords co-occurrence showed that oxidative stress was closely related to inflammation, antioxidants, and diabetes.ConclusionOur research found that global publications regarding research on oxidative stress associated with periodontitis increased dramatically and were expected to continue increasing. Inflammation and oxidative stress, and the relationship between periodontitis and systemic diseases, are topics worthy of attention.
Background: Epidemiologic evidence on body mass index (BMI)-metabolic status phenotypes and diabetes risk remains controversial, especially for metabolically healthy obesity (MHO). We aimed to examine the effect of metabolic health and obesity phenotype on diabetes risk in the Chinese population. Methods: A population-based cohort study was carried out. The baseline survey was conducted in 2017, with two follow-up visits in 2018 and 2020. Diabetes was defined based on the criteria of the World Health Organization. Robust generalized estimating equation models with a binary distribution using a log link and exchange structure were applied for the pooled analysis sample. Results: A total sample of 9623 observations was pooled for the longitudinal data analysis. The average follow-up time was 1.64 years per person and the overall incidence density of diabetes was 6.94% person-years. Decreased diabetes risk was found in metabolically healthy overweight phenotype (RR = 0.65; 95% CI = 0.47-0.90) and no significant associations were detected for the MHO individuals (RR = 0.99; 95% CI = 0.63-1.53) compared with those of metabolically healthy normal weight, in contrast to metabolically unhealthy normal weight (MU-NW) (RR = 1.81; 95% CI = 1.28-2.55), metabolically unhealthy overweight (MU-OW) (RR = 2.02; 95% CI = 1.57-2.61) and metabolically unhealthy obesity (MUO) (RR = 2.48; 95% CI = 1.89-3.26) phenotypes. Significant associations between BMI-metabolic status phenotypes and diabetes were found in both males and females.
Conclusion:The MUO phenotype needs to be accorded much more importance. MU-NW and MU-OW are also important component for targeted prevention. Our findings can be targeted for optimizing preventive strategies to mitigate the obviously increased prevalence of diabetes.
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