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Background The circadian syndrome is linked with chronic diseases such as stroke, kidney stones, and overactive bladder. However, the relationship between circadian syndrome and gallstones is poorly understood. In this study, we aim to investigate whether circadian syndrome is associated with gallstones in a population-based study.Methods Using data from the National Health and Nutrition Examination Survey (NHANES) database spanning from 2017 to 2020, a cross-sectional study with 2913 participants was performed to assess the relationship between circadian syndrome and gallstones. Univariate and two adjusted multivariate regression models were used to examine the connection between circadian syndrome and gallstones incidence. Smoothed curve fitting using the generalized additive model (GAM) was used to describe the nonlinear relationship. Subgroup analyses were also performed to investigate potential variations in the relationship between circadian syndrome and the risk of developing gallstones. ResultThe findings indicated a positive association of circadian syndrome with gallstones, with model 2 showing a 117% increase in risk (OR = 2.17, 95% CI 1.43, 3.29). In model 3, the incidence of gallstones increased by 76% (OR = 1.76, 95% CI 0.91, 3.43). However, there was no significant relationship between the number of circadian syndrome components and the risk of gallstones. Smooth curve fitting based on the GAM further demonstrated linear relationships between CircS and the risk of gallstones. Subgroup analyses further demonstrated statistically significant associations between circadian syndrome and the prevalence of gallstones among individuals who were non-smokers. ConclusionCircadian syndrome was positively associated with the prevalence of gallstones, particularly among nonsmoking participants.
Background The circadian syndrome is linked with chronic diseases such as stroke, kidney stones, and overactive bladder. However, the relationship between circadian syndrome and gallstones is poorly understood. In this study, we aim to investigate whether circadian syndrome is associated with gallstones in a population-based study.Methods Using data from the National Health and Nutrition Examination Survey (NHANES) database spanning from 2017 to 2020, a cross-sectional study with 2913 participants was performed to assess the relationship between circadian syndrome and gallstones. Univariate and two adjusted multivariate regression models were used to examine the connection between circadian syndrome and gallstones incidence. Smoothed curve fitting using the generalized additive model (GAM) was used to describe the nonlinear relationship. Subgroup analyses were also performed to investigate potential variations in the relationship between circadian syndrome and the risk of developing gallstones. ResultThe findings indicated a positive association of circadian syndrome with gallstones, with model 2 showing a 117% increase in risk (OR = 2.17, 95% CI 1.43, 3.29). In model 3, the incidence of gallstones increased by 76% (OR = 1.76, 95% CI 0.91, 3.43). However, there was no significant relationship between the number of circadian syndrome components and the risk of gallstones. Smooth curve fitting based on the GAM further demonstrated linear relationships between CircS and the risk of gallstones. Subgroup analyses further demonstrated statistically significant associations between circadian syndrome and the prevalence of gallstones among individuals who were non-smokers. ConclusionCircadian syndrome was positively associated with the prevalence of gallstones, particularly among nonsmoking participants.
BackgroundThe oxidative balance score (OBS) is a composite indicator that evaluates the balance between pro-oxidants and antioxidants in one’s diet and lifestyle. However, the relationship between OBS and circadian syndrome (CircS) has remained unexplored. This investigation aimed to determine a correlation between OBS and CircS.MethodsThis population-based study examined 7,202 participants from the 2005 to 2018 National Health and Nutrition Examination Survey (NHANES), 1,433 of whom had CircS. We utilized weighted multivariate logistic regression, trend tests, subgroup analysis, and interaction tests to evaluate the correlation between OBS (total OBS, dietary OBS, and lifestyle OBS) and CircS. Restricted cubic splines (RCS) models and threshold effect analysis were used to explore nonlinear relationships.ResultsMultivariate logistic regression analysis indicated that the protective factor for CircS was a high OBS level (total OBS: Odds ratio (OR) = 0.95, 95% Confidence interval (CI): 0.93-0.97; dietary OBS: OR = 0.98, 95% CI: 0.96-1.00; lifestyle OBS: OR = 0.65, 95% CI: 0.61-0.69). Compared to the quartile 1 group, OBS (total OBS, dietary OBS, and lifestyle OBS) was negatively and statistically significantly associated with the risk of developing Circs in the quartile 4 group (total OBS: OR = 0.47, 95% CI: 0.32-0.70; dietary OBS: OR = 0.69, 95% CI: 0.48-0.99; lifestyle OBS: OR = 0.07, 95% CI: 0.04-0.11). According to subgroup analysis and interaction tests, there was an interaction effect between the association of lifestyle OBS and CircS in terms of education level (p for interaction = 0.01). Furthermore, we observed a nonlinear negative relationship between lifestyle OBS and CircS prevalence, with inflection points at 6 (p for nonlinearity = 0.002).ConclusionThe results showed a substantial negative connection between OBS and CircS. Encouraging foods filled with antioxidants and antioxidant-rich lifestyles may reduce the risk of CircS.
Population aging is a global demographic characteristic of the 21st century, and healthy eating is a core component of healthy aging. However, limited evidence is available among older adults for associations between diet quality and circadian syndrome (CircS). Thus, this study examined associations between dietary patterns and CircS among a representative sample of middle-older adults in the US. The sample comprised middle-older adults enrolled in the 2016 core wave of the Health and Retirement Study (HRS) and one of its sub-studies, the 2013 Health Care and Nutrition Study (HCNS). A food frequency questionnaire was used to quantify habitual food intake and identify dietary patterns using a factor analysis. CircS was defined based on the existence of ≥4 components of metabolic syndrome and indicators of sleep disorders and depression. A total of 4253 middle-older adults with a mean age (SD) of 65.4 (10.0) years were included in the study. The prevalence of CircS was 35.9%. Comparing extreme quartiles of the “Prudent Pattern”, the odds ratio (95% CI) for CircS was 0.72 (0.55–0.94), and it was 1.47 (1.10–1.95) for the “Western Pattern”. The “Western Pattern” was positively associated while the “Prudent Pattern” was inversely associated with the odds of CircS among middle-older adults.
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