Globally prevalent, gallstone disease (GSD) significantly contributes to hospital admissions for gastrointestinal disease (1, 2). Across Europe, the United States, and other developed countries, the occurrence rate of GSD varies between roughly 10-15% in adults (3, 4). Globally, the occurrence of GSD varies significantly among various ethnicities. For example, the occurrence rate reaches up to 70% in American Indians and ranges between 10% and 15% in white adults (5, 6). Conversely, the occurrence rate is comparatively lower among Asian groups (7). While GSD usually shows no symptoms, about 10% to 25% of patients might suffer from conditions like biliary pain and acute cholecystitis (8). Severe complications can occur in 1% to 2% of patients, increasing the likelihood of conditions such as pancreatitis, gallbladder cancer, and liver cancer (9–11). It’s estimated that averting and managing GSD in the U.S. incurs an annual economic cost of around $62 billion, imposing significant monetary pressure on healthcare infrastructures (12). Due to these factors, GSD is acknowledged as an essential concern in public health. Despite previous research identifying various risk factors for gallstone development, including genetics, environmental influences, dietary habits, and individual metabolic status, reliable clinical indicators for the prevention of GSD remain scarce (6, 8).

The circadian rhythms, controlled by a brain’s internal clock with a central pacemaker and external organ clocks, govern the sleep-wake cycle and various other bodily functions, significantly influencing human health and metabolic processes (13, 14). Unhealthy living habits, including sleep disturbances, artificial light exposure, and shift work, may interfere with these rhythms, resulting in negative health consequences. Numerous studies have demonstrated the association between circadian rhythm disruption and metabolic syndrome (MetS), including its core components such as abdominal obesity, hypertension, hyperglycemia, and dyslipidemia (15–21). Moreover, this disruption is also associated with major comorbidities of MetS, including sleep disorders and depression (22–24). Consequently, some researchers suggested circadian rhythm disruption could be a significant underlying factor contributing to MetS (21, 25). This has prompted the development of the novel concept of circadian syndrome (CircS), which is intricately linked to circadian rhythms (21). Diagnosing CircS involves identifying at least four chronic ailments: high blood pressure, abnormal lipid levels, enlarged waist size, diabetes, reduced sleep time, and depression (26). Research has confirmed a close correlation between MetS and its core components with GSD. A cross-sectional study involving 7,570 participants, including 918 patients with gallstones and 6,652 healthy controls without gallstones, confirmed the close correlation between GSD and MetS and found that the more components of MetS, the higher the prevalence of GSD (27). In another study, researchers compared 200 patients with GSD post-laparoscopic cholecystectomy to 200 contemporaneous controls without gallstones, revealing a close correlation between the prevalence of GSD and MetS (28). The study also identified hyperglycemia and low levels of high-density lipoprotein cholesterol (HDL-C) as independent risk factors for GSD (28). Mendelian randomization studies indicated an increased risk of GSD in patients with MetS, particularly in those with abdominal obesity (29). Meta-analyses provided additional evidence of an elevated risk of developing MetS in individuals with GSD (30). Furthermore, sleep issues and depression, frequently accompanying MetS, are acknowledged as contributing factors to the development of GSD. Animal experiments have shown that circadian rhythm disorders can promote the formation of gallstones in mice and revealed that this may be related to abnormalities in bile acid and cholesterol metabolism in the mouse liver (31). A retrospective cohort study involving 18,141 Chinese elderly individuals revealed that patients with depression have a higher risk of developing GSD, and further Mendelian randomization studies have suggested that abdominal obesity may mediate this association (32). Additionally, a cross-sectional study based on the National Health and Nutrition Examination Survey (NHANES) database also found that depression patients have an increased risk of gallstone prevalence, and Mendelian randomization studies have further confirmed the causal relationship between them (33). Consequently, investigating the possible link between CircS and GSD prevalence among American adults is crucial.

As far as we are aware, there have been no investigations into the relationship between CircS and the prevalence of GSD. Consequently, this cross-sectional study aims to explore the connection by conducting a thorough analysis based on the NHANES data and determine whether sociodemographic factors (age, gender, race, education level, marital status) and lifestyle factors (smoking status, alcohol status, vigorous activity, and moderate activity) affect this correlation.

The data for this research were sourced from NHANES, covering the period from 2017 to 2020. Biennially, NHANES carried out a sequence of multi-stage surveys, executed by the Centers for Disease Control and Prevention. Field activities were paused in March 2020 due to the COVID-19 pandemic, resulting in incomplete data collection for the 2019-2020 period. Addressing this problem, NHANES amalgamated data gathered between 2019 and March 2020 and 2017 to 2018, creating a sample representative of the national pre-pandemic population from 2017 to March 2020. Initially, our study included 15,560 participants. After excluding individuals under 20 and over 79 years of age, totaling 7,010 individuals, and an additional 4,424 participants with incomplete demographic, physical, and disease information, the final analysis included 4,126 participants (details in Figure 1). Protocols for the NHANES study received approval from the Ethics Review Board of the National Center for Health Statistics Research, with every participant providing informed consent (details can be found at https://www.cdc.gov/nchs/nhanes/irba98.htm).

Figure 1. Flowchart of study population inclusion in the 2017–2020 NHANES. NHANES, National Health and Nutrition Examination Survey.

The main outcome of this research was the GSD prevalence. Diagnosing GSD relied on the NHANES medical condition questionnaire. Trained researchers conducted these surveys via face-to-face interviews. Identifying GSD was based on how participants responded to the question “Has a doctor or other health professional ever informed you about having gallstones?” Those who confirmed this diagnosis were diagnosed with GSD.

Circadian syndrome was identified as the key variable for exposure, with its diagnosis hinging on these factors: individuals who met four or more of these criteria were considered to have this syndrome (26). Identified criteria included: central obesity, characterized by a waist size exceeding 102 cm in men and 88 cm in women; high blood triglyceride concentrations (≥150 mg/dL) or taking lipid-lowering drugs; reduced HDL-C levels (<40 mg/dL in men, <50 mg/dL in women) or taking lipid-reducing drugs; increased blood pressure (systolic ≥130 mmHg or diastolic ≥85 mmHg) or taking blood pressure-lowering drugs; high fasting blood sugar levels (≥100 mg/dL) or taking medication for low blood sugar; insufficient sleep time (≤6 hours daily); and depression, as evaluated by the NHANES mental health study (26, 34–36). People who achieved a score of 10 or above in the Patient Health Questionnaire-9 (PHQ-9) survey were identified as suffering from depression (37).

This research took into account possible confounding variables. Age was factored into continuous variables, whereas categorical variables encompassed gender, ethnicity, marital status, educational attainment, smoking habits, alcohol intake, vigorous activity, and moderate activity, with age being categorized accordingly. The specified age groups were: 20-34 years, 35-49 years, 50-64 years, and 65-79 years (36, 38). Racial classifications included Mexican Americans, other Hispanics, non-Hispanic whites, non-Hispanic blacks, or other ethnicities (39). The classification of marital status encompassed married/living with the partner, widowed/divorced/separated, or never married (40). The categorization of educational attainment was segmented into less than high school, high school, and more than high school (41). The status of smoking (SMQ020) and alcohol (ALQ111) were ascertained using the respective survey (42–44).

To ensure the representativeness of our results across the entire US population, statistical evaluations were performed using the relevant sampling weights from the NHANES. To characterize the participants’ traits, continuous variables were analyzed through survey-weighted linear regression, presenting the results as weighted averages and 95% confidence intervals (CI). The analysis of categorical variables was conducted using a survey-weighted chi-square test, with results presented as weighted percentages along with 95% CI.

To investigate the link between CircS and GSD, participants were classified based on their CircS diagnosis, and three weighted multivariable logistic regression models were created for evaluation. Furthermore, an evaluation was conducted on the relationship between the quantity of CircS components and GSD. Within the crude model, no variables underwent adjustments. Adjustments were made in Model I to account for variables such as age, gender, and ethnicity. Expanding on Model I, Model II incorporated additional modifications considering factors such as educational level, marital status, smoking status, alcohol status, vigorous activity, and moderate activity. For trend analysis, the number of CircS components was considered as a continuous variable. Additionally, to investigate if covariates influence the link between CircS and GSD, we performed subgroup analysis and interaction test for all potential confounding variables.

A P-value below 0.05 was deemed statistically significant. Every statistical analysis was performed using EmpowerStats (version 4.2) and the R software (version 4.3.2, R Foundation, Vienna, Austria).

Table 1 displays the traits of the study subjects, categorized according to the Circs status. The study eventually encompassed 4,126 participants, following a selection procedure that removed those not fitting the age criteria and those with incomplete information. After applying the sample weights, the average age of the participants was 48.93 years, and the prevalence rate of Circs was 38.68%. In addition to gender, race, alcohol status, and activity status, the two groups showed significant differences in baseline characteristics (P< 0.05). Individuals with CircS were more prone to GSD, generally had older age, lower educational attainment, smoking habits, and were less frequently never married.

Table 1. Characteristics of participants by categories of circadian syndrome status, weighted.

Table 2 illustrates the traits of the study subjects suffering from GSD conditions. After applying the sample weights, GSD patients had an average age of 56.36 years, and a prevalence rate of 12.04%. In addition to education level, smoking status, alcohol status, vigorous activity, moderate activity, and sleep status, there were significant differences in baseline characteristics between the two groups (P< 0.05). Individuals with GSD were more likely to be patients with CircS and to have more number CircS components. These individuals were typically female, older, non-Hispanic white, had central obesity, elevated serum triglycerides, reduced serum HDL-C, hypertension, elevated plasma glucose, depression, and were less frequently never married.

Table 2. Characteristics of participants by categories of gallstones status, weighted.

In Figure 2, the relationship between Circs and GSD is depicted. Unadjusted for confounding variables, the crude model revealed a positive correlation between Circs and GSD (Odds Ratio (OR) = 1.837, 95% CI: 1.416, 2.383). The same trend was observed in Model I (OR = 1.382, 95% CI: 1.077, 1.773) and Model II (OR = 1.336, 95% CI: 1.048, 1.702), suggesting that there remained a positive correlation between CircS and GSD even after accounting for potential confounders. When the data were stratified by the number of Circs components, a positive correlation was observed between the number of CircS components and the prevalence of GSD (P for trend < 0.05). In particular, individuals with six or more CircS components had a higher prevalence of GSD than those with three or fewer components (OR = 2.608, 95% CI: 1.464, 4.647).

Figure 2. Logistic regression analysis between circadian syndrome and the prevalence of gallstones. OR, odds ratio; CI, confidence interval. Crude Model: unadjusted. Model I: adjusted for age, sex, and race. Model II: adjusted for Model I, education, marital status, smoking status, alcohol consumption, vigorous activity, and moderate activity.

To evaluate the uniformity of the correlation between Circs and GSD among the general individuals, we performed the subgroup analysis and interaction test considering factors such as age, gender, ethnicity, educational background, marital status, smoking habits, alcohol status, vigorous activity, and moderate activity. The findings revealed a non-uniform correlation between Circs and GSD among various subgroups. As shown in Figure 3, the correlation between Circs and GSD interacted with gender and moderate activity (P for interaction < 0.05). In female individuals (OR=1.701, 95%CI: 1.236, 2.341) or those not engaged in moderate activity (OR=1.990, 95%CI: 1.158, 3.418), a positive correlation between Circs and GSD was observed. Conversely, In male individuals (OR=0.770, 95% CI: 0.450, 1.315) or those engaged in moderate activity (OR=0.903, 95% CI: 0.532, 1.531), no positive correlation between CircS and GSD was observed. Furthermore, our research revealed an absence of interaction related to age, race, education, marital status, smoking habits, alcohol status, or vigorous activity on the correlation between Circs and GSD (P for interaction > 0.05).

Figure 3. Association between circadian syndrome and the incidence of gallstones according to subgroup and interaction analyses. OR, odds ratio; CI, confidence interval. Multivariable logistic regression models were adjusted for age, sex, race, education, marital status, smoking status, alcohol consumption, vigorous activity, and moderate activity. Stratification variables were not adjusted in the corresponding models.

As far as we are aware, this research pioneers the investigation into the connection between CircS and GSD. Earlier studies have predominantly concentrated on the links between GSD and individual factors like MetS, depression, and sleep deprivation. In contrast, this study innovatively incorporates these factors into a unified analytical framework. With the acceleration of modern lifestyles and work rhythms, the incidence of CircS has been increasing annually. CircS encompasses multiple components of MetS, including central obesity, high serum triglyceride levels, decreased serum HDL-C, elevated blood sugar, hypertension, sleep deprivation, and depression, all of which are linked to a heightened risk of GSD. For example, Chen et al. revealed through a cross-sectional study that the more components of MetS are present, the higher the prevalence of GSD (27). Zhu et al. further confirmed through a Mendelian randomization study that MetS can increase the risk of GSD, particularly in MetS patients with abdominal obesity (29). A multicenter cross-sectional study involving 548,934 participants indicated that low levels of HDL-C and high levels of triglycerides are risk factors for GSD (45). Yan et al. confirmed through observational studies and Mendelian randomization that type 2 diabetes can increase the risk of GSD (46). A cohort study in Japan involving 611,930 participants showed that hypertension can increase the risk of GSD (47). He et al. disrupted the circadian rhythm in adult male C57BL/6J mice by feeding them lithogenic diets during their sleep phase and found that circadian rhythm disruption can increase the risk of GSD in mice (31). Li et al. through retrospective cohort studies and mediated Mendelian randomization research, found that patients with depression have a higher risk of GSD and revealed that abdominal obesity plays a mediating role (32). These findings suggest a close association between CircS and the risk of GSD. Moreover, the primary cause of CircS is believed to be a malfunction in circadian rhythms. A multitude of elements, such as inconsistent sleep habits, regular night shifts, and extended exposure to artificial light, along with genetic influences or specific health issues, may result in a discrepancy between the internal circadian rhythm and the external environment’s 24-hour cycle, leading to disorders of the circadian rhythm (48). The onset of circadian rhythm issues can lead to various physiological and pathological states, such as MetS, type 2 diabetes, depression, and heart-related illnesses (49–51). A cohort study spanning from 2010 to 2018, which collected work hour data from 5,775 hospital staff in Taiwan, revealed that night shift work, compared to day shift work, may increase the risk of MetS and abdominal obesity. The study also found that among night shift workers, the frequency of night shifts is associated with an increased risk of hypertension (52). Furthermore, a meta-analysis confirmed a significant association between night shift work and the risk of MetS, showing that this risk is positively correlated with the duration of night shift work (53). Additionally, several studies have indicated that shift work may not only increase the risk of type 2 diabetes, but also the risk of myocardial infarction, cerebrovascular accidents, coronary artery disease, and reperfusion injury after myocardial infarction (54–57). The existence of these diseases could play a role in the development of gallstones. This study’s findings align with expectations, showing a positive link between CircS and the likelihood of developing GSD. Following CircS criteria, which necessitate a minimum of four traits, we further explored whether the quantity of these traits correlates with the likelihood of gallstones. The findings are quite intriguing: a notable positive link exists between the quantity of CircS traits and the probability of gallstone formation. In other words, an increased number of CircS characteristics in a person correlates with a higher likelihood of gallstone formation.

The link between CircS and GSD prevalence may be mediated through several biological mechanisms. First, the liver, a key organ in the regulation of circadian rhythms, may experience rhythmic disruptions that can lead to an imbalance in bile acid metabolism (58, 59). Bile acids play a crucial role in dissolving cholesterol in bile, maintaining cholesterol balance, and preventing excessive cholesterol accumulation. A disruption in the metabolism of bile acids is deemed the primary pathological factor in the development of gallstones (60, 61). Consequently, CircS may facilitate gallstone development by interfering with the metabolic pathways of bile acids. Additionally, adiponectin, a protein hormone that plays a role in controlling glucose and fatty acid metabolism, has emerged as a central research subject in recent years. It has been established that adiponectin and the circadian rhythm interact bidirectionally (62). A lack of sleep may result in reduced levels of adiponectin in the blood, and lacking adiponectin may encourage the development of gallstones in mice (63, 64). This suggests that CircS may facilitate the onset and progression of gallstones by reducing adiponectin levels. Third, the circadian clock, as an intricate cellular mechanism, not only regulates various physiological processes but also controls inflammatory responses (65). The circadian clock can directly interact with the key elements of the critical inflammatory pathway. Likewise, inflammation may result in disruptions of circadian rhythms, potentially intensifying the inflammatory reaction and exacerbating tissue damage (66). Significantly, inflammatory reactions play a crucial role in gallstone development, where heightened proinflammatory factor levels are closely linked to a greater likelihood of gallstones (67). Therefore, inflammatory responses may play an important intermediary role between CircS and the prevalence of gallstones. Finally, the link between CircS and the prevalence of gallstones may also involve the homeostasis of the gut microbiota. There is an undeniable connection between circadian rhythms and the balance of the gut microbiota (68). Studies show that lack of sleep significantly diminishes gut microbiota diversity, which in turn lowers short-chain fatty acid production, exacerbates intestinal inflammation, and heightens intestinal permeability (69). These disruptions in the gut microbiota balance may, through a series of complex physiological mechanisms, promote the formation and progression of gallstones (70, 71).

Furthermore, this study revealed differences in the correlation between CircS and GSD in terms of gender and moderate activity. The results indicate that this connection is particularly evident in female CircS patients. This occurrence could be intimately linked to disparities in hormone levels and psychosocial elements between genders. The hormonal fluctuations accompanying the menstrual cycle and menopause in women, especially the cyclical changes in estrogen and progesterone, have been shown to affect bile composition and gallbladder function. These hormone fluctuations may lead to cholesterol supersaturation in bile, thereby increasing the likelihood of cholesterol crystal and stone formation (72, 73). Additionally, women may be more susceptible to the influence of stress and emotional issues, which can further affect bile metabolism and gallbladder function through their effects on the autonomic nervous system and hormone levels (74). The presence of circadian rhythm disturbances may exacerbate hormonal fluctuations and the influence of psychosocial factors, thereby increasing the risk of GSD in female CircS patients (75–77). Furthermore, the study also found that the positive correlation between CircS and GSD was significant in individuals with CircS who were not engaging in moderate activity. Moderate activity plays a beneficial role in maintaining metabolic balance and promoting bile flow. Moderate-intensity activity is widely believed to improve various components of metabolic syndrome, including reducing blood pressure, improving blood sugar, reducing abdominal fat accumulation, and increasing HDL-D levels, thus helping to reduce cholesterol supersaturation and lowering the risk of gallstone formation (78). Physical activity also promotes gallbladder contraction, improves bile flow, helps prevent bile stasis and cholesterol crystallization, and reduces the formation of gallstones. Individuals not engaging in moderate activity may experience decreased gallbladder activity and slowed bile flow, leading to cholesterol deposition and stone formation in the gallbladder (79). Additionally, psychosocial factors may also play an important role in the relationship between moderate activity and the incidence of cholesterol stones. Physical activity has been shown to reduce stress and anxiety and improve emotional states (80). Individuals not engaging in moderate activity may be more susceptible to stress and emotional issues, increasing the risk of gallstone formation. Therefore, this study emphasizes the potential importance of moderate activity in preventing the occurrence of GSD in patients with CircS, suggesting that we should actively advocate for patients with CircS, especially women and those who do not regularly engage in physical activity, to participate in moderate-intensity activity regularly to reduce the risk of gallstone disease and improve quality of life.

This study has significant strengths. First, the research is underpinned by the NHANES database, which offers nationwide coverage, enhancing the representativeness and generalizability of our findings. Second, we introduce the concept of CircS, a novel construct based on the understanding of the human internal biological clock or circadian rhythm, and explore its potential link with GSD. Nonetheless, this research has its own set of constraints. The NHANES database is cross-sectional, providing data from a single time point without longitudinal follow-up information, which limits our ability to delve into the causal relationships and mechanisms between CircS and GSD. Additionally, all diagnoses of gallstones in the study were self-reported, which may lack the precision of diagnoses confirmed by medical imaging. Furthermore, although we endeavored to control for known risk factors in our analysis to investigate the relationship between these two conditions, we must acknowledge that there may be unidentified factors that could affect or obscure this relationship. Nonetheless, this study lays a solid foundation for broader and more in-depth prospective research in the future.

Publicly available datasets were analyzed in this study. This data can be found here: https://www.cdc.gov/nchs/nhanes/index.htm.

This study utilized publicly accessible data from the NHANES. The research protocol has been approved by the National Center for Health Statistics Research Ethics Review Board, with informed consent provided by all participants. Consequently, no additional ethical approval or informed consent from participants was required for this study. The protocol approval numbers for the survey years presented are as follows, provided by the National Center for Health Statistics Research Ethics Review Board: Continuation of Protocol #2011-17 for NHANES 2017-2018 (Effective through October 26, 2017), Protocol #2018-01 for NHANES 2017-2018 (Effective beginning October 26, 2017), and Protocol #2018-01 for NHANES 2019-2020. Further details can be found at https://www.cdc.gov/nchs/nhanes/irba98.htm.

1. Everhart JE, Ruhl CE. Burden of digestive diseases in the United States part III: liver, biliary tract, and pancreas. Gastroenterology. (2009) 136:1134–44. doi: 10.1053/j.gastro.2009.02.038

PubMed Abstract | Crossref Full Text | Google Scholar

2. Fujita N, Yasuda I, Endo I, Isayama H, Iwashita T, Ueki T, et al. Evidence-based clinical practice guidelines for cholelithiasis 2021. J Gastroenterol. (2023) 58:801–33. doi: 10.1007/s00535-023-02014-6

PubMed Abstract | Crossref Full Text | Google Scholar

11. Pang Y, Lv J, Kartsonaki C, Guo Y, Yu C, Chen Y, et al. Causal effects of gallstone disease on risk of gastrointestinal cancer in Chinese. Br J Cancer. (2021) 124:1864–72. doi: 10.1038/s41416-021-01325-w

PubMed Abstract | Crossref Full Text | Google Scholar

13. Crnko S, Du Pré BC, Sluijter JPG, Van Laake LW. Circadian rhythms and the molecular clock in cardiovascular biology and disease. Nat Rev Cardiol. (2019) 16:437–47. doi: 10.1038/s41569-019-0167-4

PubMed Abstract | Crossref Full Text | Google Scholar

16. Bray MS, Young ME. Circadian rhythms in the development of obesity: potential role for the circadian clock within the adipocyte. Obes Rev. (2007) 8:169–81. doi: 10.1111/j.1467-789X.2006.00277.x

PubMed Abstract | Crossref Full Text | Google Scholar

17. Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. (2009) 120:1640–5. doi: 10.1161/CIRCULATIONAHA.109.192644

PubMed Abstract | Crossref Full Text | Google Scholar

18. Lo S-H, Lin L-Y, Hwang J-S, Chang Y-Y, Liau C-S, Wang J-D. Working the night shift causes increased vascular stress and delayed recovery in young women. Chronobiol Int. (2010) 27:1454–68. doi: 10.3109/07420528.2010.498067

PubMed Abstract | Crossref Full Text | Google Scholar

20. Gnocchi D, Pedrelli M, Hurt-Camejo E, Parini P. Lipids around the clock: focus on circadian rhythms and lipid metabolism. Biology. (2015) 4:104–32. doi: 10.3390/biology4010104

PubMed Abstract | Crossref Full Text | Google Scholar

21. Zimmet P, Alberti KGMM, Stern N, Bilu C, El-Osta A, Einat H, et al. The Circadian Syndrome: is the Metabolic Syndrome and much more! J Intern Med. (2019) 286:181–91. doi: 10.1111/joim.12924

PubMed Abstract | Crossref Full Text | Google Scholar

23. Kronfeld-Schor N, Einat H. Circadian rhythms and depression: human psychopathology and animal models. Neuropharmacology. (2012) 62:101–14. doi: 10.1016/j.neuropharm.2011.08.020

PubMed Abstract | Crossref Full Text | Google Scholar

24. St-Onge M-P, Grandner MA, Brown D, Conroy MB, Jean-Louis G, Coons M, et al. Sleep duration and quality: impact on lifestyle behaviors and cardiometabolic health: A scientific statement from the american heart association. Circulation. (2016) 134:e367–86. doi: 10.1161/CIR.0000000000000444

PubMed Abstract | Crossref Full Text | Google Scholar

26. Shi Z, Tuomilehto J, Kronfeld-Schor N, Alberti GK, Stern N, El-Osta A, et al. The circadian syndrome predicts cardiovascular disease better than metabolic syndrome in Chinese adults. J Intern Med. (2021) 289:851–60. doi: 10.1111/joim.13204

PubMed Abstract | Crossref Full Text | Google Scholar

28. Chen J, Liu Z-T, Lyu J-T, Jiang G-P. Impact of metabolic disorders on gallstone disease and perioperative recovery after laparoscopic cholecystectomy. Hepatobiliary pancreat Dis int: HBPD Int. (2024) S1499-3872:106–1. doi: 10.1016/j.hbpd.2024.08.001

PubMed Abstract | Crossref Full Text | Google Scholar

29. Zhu Q, Xing Y, Fu Y, Chen X, Guan L, Liao F, et al. Causal association between metabolic syndrome and cholelithiasis: a Mendelian randomization study. Front Endocrinol. (2023) 14:1180903. doi: 10.3389/fendo.2023.1180903

PubMed Abstract | Crossref Full Text | Google Scholar

30. Lyu J, Lin Q, Fang Z, Xu Z, Liu Z. Complex impacts of gallstone disease on metabolic syndrome and nonalcoholic fatty liver disease. Front Endocrinol. (2022) 13:1032557. doi: 10.3389/fendo.2022.1032557

PubMed Abstract | Crossref Full Text | Google Scholar

31. He C, Shen W, Chen C, Wang Q, Lu Q, Shao W, et al. Circadian rhythm disruption influenced hepatic lipid metabolism, gut microbiota and promoted cholesterol gallstone formation in mice. Front Endocrinol. (2021) 12:723918. doi: 10.3389/fendo.2021.723918

PubMed Abstract | Crossref Full Text | Google Scholar

32. Li J, Zhang J, Kong B, Chen L, Yuan J, He M, et al. Abdominal obesity mediates the causal relationship between depression and the risk of gallstone disease: retrospective cohort study and Mendelian randomization analyses. J Psychosomatic Res. (2023) 174:111474. doi: 10.1016/j.jpsychores.2023.111474

PubMed Abstract | Crossref Full Text | Google Scholar

33. Wang B, Xiong Y, Li R, Zhang S. Depression increases the risk of gallstone: a cross-sectional study and mendelian randomization analysis. J Affect Disord. (2024) 362:606–14. doi: 10.1016/j.jad.2024.07.119

PubMed Abstract | Crossref Full Text | Google Scholar

34. Wang Y, Yang L, Zhang Y, Liu J. Relationship between circadian syndrome and stroke: A cross-sectional study of the national health and nutrition examination survey. Front Neurol. (2022) 13:946172. doi: 10.3389/fneur.2022.946172

PubMed Abstract | Crossref Full Text | Google Scholar

35. Xiao Y, Yin S, Wang J, Cui J, Yang Z, Wang J, et al. A positive association between the prevalence of circadian syndrome and overactive bladder in United States adults. Front Public Health. (2023) 11:1137191. doi: 10.3389/fpubh.2023.1137191

PubMed Abstract | Crossref Full Text | Google Scholar

36. Xiao Y, Yin S, Bai Y, Yang Z, Wang J, Cui J, et al. Association between circadian syndrome and the prevalence of kidney stones in overweight adults: a cross-sectional analysis of NHANES 2007–2018. BMC Public Health. (2023) 23:960. doi: 10.1186/s12889-023-15934-y

PubMed Abstract | Crossref Full Text | Google Scholar

38. Xiao Y, Yin S, Cui J, Bai Y, Yang Z, Wang J, et al. Association between the prevalence rates of circadian syndrome and testosterone deficiency in US males: data from NHANES (2011-2016). Front Nutr. (2023) 10:1137668. doi: 10.3389/fnut.2023.1137668

PubMed Abstract | Crossref Full Text | Google Scholar

39. Sun L, Huo X, Jia S, Chen X. The association between circadian syndrome and frailty in US adults: a cross-sectional study of NHANES data from 2007 to 2018. Aging Clin Exp Res. (2024) 36:105. doi: 10.1007/s40520-024-02745-3

PubMed Abstract | Crossref Full Text | Google Scholar

40. Cai J, Chen D, Luo W, Xu F, Feng X, Zhang L, et al. The association between diverse serum folate with MAFLD and liver fibrosis based on NHANES 2017-2020. Front Nutr. (2024) 11:1366843. doi: 10.3389/fnut.2024.1366843

PubMed Abstract | Crossref Full Text | Google Scholar

41. Ding L, Duan J, Yang T, Jin C, Lv S, Ma A, et al. Association between circadian syndrome and chronic diarrhea: a cross-sectional study of NHANES 2005–2010 data. Front Physiol. (2024) 15:1301450. doi: 10.3389/fphys.2024.1301450

PubMed Abstract | Crossref Full Text | Google Scholar

42. Sutton JD, Salas Martinez ML, Gerkovich MM. Environmental tobacco smoke and periodontitis in United States non-smokers, 2009 to 2012. J Periodontol. (2017) 88:565–74. doi: 10.1902/jop.2017.160725

PubMed Abstract | Crossref Full Text | Goog