Causal Relationship Between Different Sleep Traits and Dental Caries: A Bidirectional Mendelian Randomization Study.

IF 2 3区 心理学 Q3 PSYCHOLOGY, CLINICAL
Dan Zhou, Zehan Zhang, Jianxing Zhang, Heqing Lai, Qing Zhou, Chao Pei
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引用次数: 0

Abstract

Background: Dental caries (DC) is a significant common disease of the oral cavity. Recently, researchers have focused more on the impact of poor sleep habits on the incidence and development of DC, which aroused our interest in the study of the correlation and causal relationship between sleep and dental caries.

Methods: In this study, Linkage disequilibrium score (LDSC) regression method was used to found the genetic correlation between different sleep traits and DC, while bidirectional Mendelian randomization (MR) methods were used to explore the causal relationship. The main analysis of MR was inverse variance weighted method, and the outcomes were evaluated by odds ratio (OR) and 95% confidence interval (95% CI).

Results: In LDSC regression analysis, genetic correlations were found between chronotype, dozing, insomnia, sleep duration and DC (P = 0.002, P = 0.026, P = 7.233E-09, P = 0.012). However, when utilizing the TSMR method, no discernible casual relationships were found between chronotype, dozing, insomnia, sleep duration and DC (P = 0.832, P = 0.129, P = 0.822, P = 0.644). This result was further substantiated through the utilization of additional validation datasets.

Conclusions: Our study found no causal relationship between sleep traits and DC.

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来源期刊
CiteScore
5.20
自引率
3.70%
发文量
97
期刊介绍: The International Journal of Behavioral Medicine (IJBM) is the official scientific journal of the International Society for Behavioral Medicine (ISBM). IJBM seeks to present the best theoretically-driven, evidence-based work in the field of behavioral medicine from around the globe. IJBM embraces multiple theoretical perspectives, research methodologies, groups of interest, and levels of analysis. The journal is interested in research across the broad spectrum of behavioral medicine, including health-behavior relationships, the prevention of illness and the promotion of health, the effects of illness on the self and others, the effectiveness of novel interventions, identification of biobehavioral mechanisms, and the influence of social factors on health. We welcome experimental, non-experimental, quantitative, qualitative, and mixed-methods studies as well as implementation and dissemination research, integrative reviews, and meta-analyses.
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