Associations between overactive bladder and sleep patterns: a cross-sectional study based on 2007–2014 NHANES
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SUBMITTER: Lu Z
PROVIDER: S-EPMC10642019 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature
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Project description:ObjectiveThe aim of this study was to comprehensively investigate the potential relationship between blood volatile organic compounds (VOCs) and overactive bladder (OAB) risk.MethodsA total of 11,183 participants from the 2007-2020 National Health and Nutrition Examination Survey (NHANES) were included in this cross-sectional study. We used multivariate logistic regression models to investigate the relationship between nine blood VOCs and OAB risk. Restricted cubic spline (RCS) analysis was used to investigate the dose-response relationship between blood VOCs and OAB. In addition, the overall association of blood VOCs with OAB risk was assessed by weighted quantile sum (WQS) regression model. Finally, we conducted subgroup analyses to explore the findings in different high-risk populations.ResultsAfter adjusting for potential confounders, logistic regression analysis revealed that blood 2,5-dimethylfuran (aOR = 2.940, 95% CI: 1.096-7.890, P = 0.032), benzene (aOR = 1.460, 95% CI: 1.044-2.043, P = 0.027) and furan (aOR = 9.426, 95% CI: 1.421-62.500, P = 0.020) were positively independent associated with the risk of OAB. And dose-response risk curves indicated that 2,5-dimethylfuran, benzene and furan in the blood were linearly positive associated with OAB risk. WQS regression analysis showed that exposure to mixed blood VOCs increased the risk of OAB (OR = 1.29, 95% CI: 1.11-1.49), with furans having the greatest weight. In subgroup analyses, we found that OAB was more susceptible to blood VOCs in young and middle-aged, male, non-hypertensive, and alcohol-drinking populations.ConclusionsThe results of this study indicate that high exposure to VOCs is independently and positively associated with OAB risk in U.S. adults, particularly 2,5-dimethylfuran, benzene, and furan. In addition, age, gender, hypertension and alcohol consumption may influence the association. Our study provided novel epidemiologic evidence to explore the potential role of environmental pollutants in OAB.
| S-EPMC11190323 | biostudies-literature
Project description:BackgroundThis study aimed to investigate the association between sleep duration and bone mineral density (BMD) and determine whether vitamin D (VD) status influenced the association between sleep duration and BMD.MethodsNational Health and Nutrition Examination Survey 2007-2014 participants aged ≥ 40 years were included in this study. BMD testing was conducted with dual-energy X-ray absorptiometry examinations. Moreover, all individuals were divided into four groups according to self-reported nocturnal sleep duration (7-8 h; 6 h; < 6 h; and > 8 h). In addition, the differences in BMD between the normal sleep duration group and other groups were calculated using multiple linear regression models.ResultsOverall, the median age of the overall study population was 55.00 years old, with 46.97% of men distributed. Participants sleeping > 8 h/night had lower BMDs than those sleeping 7-8 h/night. Moreover, the association between unhealthy sleep duration (especially > 8 h/night) and low BMD was more pronounced in older individuals, men, postmenopausal women, and subjects with inadequate VD intakes (< 15.00 µg/day) or deficient/insufficient serum 25-hydroxyvitamin D (< 75.00 nmol/L).ConclusionsIn conclusion, unhealthy sleep duration, especially long sleep duration, was associated with decreased BMD, particularly among individuals aged > 60 years, men, or postmenopausal women. Moreover, VD status might influence the association between sleep duration and BMD, especially in the context of inadequate VD intake or deficient/insufficient serum 25-hydroxyvitamin D levels. However, given the limitations of the present study, further investigation is warranted to confirm this association and to explore potential mechanisms.
| S-EPMC9795756 | biostudies-literature
Project description:BackgroundAccumulating evidence have demonstrated that tobacco smoke exposure (TSE) causes damage to human mental issues. However, previous studies almost focus on the individual smoking exposure patterns and some inconsistent results are reported. Serum cotinine is a reliable and quantitative biomarker of TSE. This study aims to explore the association of serum cotinine with depression and sleep disorders and the potential gender differences.MethodsData from the National Health and Nutrition Examination Survey (NHANES) 2007-2014 was used. Weighted multiple logistic regression methods, generalized additive models (GAM), and restricted cubic spline (RCS) models were used for association analyses. Moreover, gender-stratified analyses were conducted.ResultsOf 12,599 individuals included in the final analysis, 1,295 had depression, 3245 had trouble sleeping and 1152 had diagnostic sleep disorders. After adjusting for potential covariates, linear relationship suggested higher serum cotinine levels were positively associated with risk of depression and sleep disorders, including self-reported trouble sleeping and diagnostic sleep disorders in the total sample and female participants, and serum cotinine levels were positively correlated with depression and trouble sleeping in male participants. Additionally, inverted L-shaped associations between serum cotinine and depression and sleep disorders were detected, and at the same cotinine level, females have a higher risk of experiencing depression and sleep disorders.ConclusionsIn this study, higher serum cotinine increased the risk of depression and sleep disorders and there was stronger association in females than males. These findings provided novel evidence about how TSE affected the mental condition of the general US population.
| S-EPMC11666554 | biostudies-literature
Project description:BackgroundThe weight-adjusted waist index (WWI) is a novel obesity indicator that appears to outperform the body mass index (BMI) and waist circumference (WC) in assessing both overweight and obesity. Studies have demonstrated the relationship between obesity and overactive bladder (OAB). The purpose of this study is to examine the correlation between WWI and OAB.MethodsThis research utilizes data from the National Health and Nutrition Examination Survey (NHANES) collected between 2009 and 2018. Each participant's WWI was calculated as their WC in centimeters by the square root of weight in kilograms. The Overactive Bladder Symptom Score (OABSS) questionnaire is used to determine whether a participant has OAB. Multivariate logistic regression and generalized additive model analysis were employed to investigate the relationship between WWI and OAB. We used smoothing curve fitting to explore non-linear relationships. Additionally, subgroup analysis and interaction tests are conducted.ResultsIn this cross-sectional study involving 35,950 subjects, we found that individuals with a higher WWI have a higher risk of OAB (OR = 1.41, 95% CI: 1.02-1.74). Subgroup analysis and interaction testing showed that the relationship between WWI and OAB is consistent across various population characteristics. Smoothing curve fitting reveals a positive non-linear relationship between WWI and OAB. Furthermore, the association between WWI and OAB is stronger than that of other obesity-related indicators.ConclusionWeight-adjusted waist index may be able to predict the incidence of OAB and that WWI-based obesity management may help to reduce the risk of OAB.
| S-EPMC11408301 | biostudies-literature
Project description:BackgroundThe roles of minerals in obesity received increasing attention recently due to its oxidant or antioxidant functions and effects on insulin and glucose metabolism that may be associated with obesity. Herein, this study aims to explore the association between minerals and obesity and body mass index (BMI) in children with different ages, and hope to provide some references for prevention and management in children with high-risk of obesity.MethodsData of children aged 2-17 years old were extracted from the National Health and Nutrition Examination Survey (NHANES) database in 2007-2014 in this cross-sectional study. Weighted univariate and multivariate logistic regression and liner regression analyses were used to screen covariates, and explore the association between minerals [including calcium (Ca), phosphorus (P), magnesium (Mg), iron (Fe), zinc (Zn), copper (Cu), sodium (Na), potassium (K) and selenium (Se)] and childhood obesity and BMI. The evaluation indexes were β, odds ratios (ORs) and 95% confidence intervals (CIs). These relationships were also investigated in age subgroups.ResultsAmong 10,450 eligible children, 1,988 (19.02%) had obesity. After adjusting for covariates, we found the highest quartile of dietary Fe [OR = 0.74, 95%CI: (0.58, 0.95)] and Zn [OR = 0.70, 95%CI: (0.54, 0.92)] intakes were associated with low odds of childhood obesity, while that of dietary Na intake seemed to be positively linked to childhood obesity [OR = 1.35, 95%CI: (1.05, 1.74)]. High dietary intakes of Ca, Na and K were positively associated with children's BMI, on the contrary, dietary Fe and Zn consumptions had a negative one (all P<0.05). Additionally, these associations were also found in children with different age (all P<0.05).ConclusionDietary Fe and Zn intakes played positive roles in reducing childhood obesity or BMI, while the intakes of Na should be controlled suitably.
| S-EPMC10752540 | biostudies-literature
Project description:BackgroundThe relationship between exposure to organophosphate esters (OPEs) and the risk of developing overactive bladder (OAB) is uncertain. The purpose of this study is to examine the potential link between urinary metabolites of organophosphate esters and OAB.MethodData from the National Health and Nutrition Examination Survey (NHANES) database of the 2011-2016 cycles were utilized. Four urinary metabolites of organophosphate esters: diphenyl phosphate (DPHP), bis (1,3-dichloro-2-propyl) phosphate (BDCPP), bis (2-chloroethyl) phosphate (BCEP), and dibutyl phosphate (DBUP) were included in the study. Multivariate logistic regression and restricted cubic spline (RCS) were used to evaluate the relationship between urinary OPEs metabolites and OAB. Interaction analysis was conducted on subgroups to confirm the findings.ResultsA total of 3,443 United States (US) adults aged 20 years or older were included in the study, of whom 597 participants were considered to have OAB. After adjusting for potential confounding factors, we found a positive association between DPHP and the risk of overactive bladder. The risk of overactive bladder increased with increasing DPHP concentrations compared with quartile 1 (quartile 2, OR = 1.19, 95% CI, 0.82-1.73, P = 0.34; quartile 3, OR = 1.67, 95% CI, 1.10-2.53, P = 0.02; Q4, OR = 1.75, 95% CI, 1.26-2.43, P = 0.002). However, after dividing the participants by gender, only the female group retained consistent results. Additionally, restricted cubic spline analysis revealed a nonlinear dose-response correlation between DPHP and OAB in female participants. In the subgroup analysis based on age, race, body mass index (BMI), recreational activity, smoking status, drinking status, hypertension, diabetes, and stroke, the interaction analysis revealed that the findings were uniform.ConclusionOur findings indicate that exposure to DPHP could elevate the risk of OAB in US adult females. Further experimental studies are needed to explore the underlying mechanism in the future.
| S-EPMC10666646 | biostudies-literature
Project description:BackgroundThe triglyceride-glucose (TyG) index, combined with obesity-related indicators such as body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR), has been proven to be reliable for assessing insulin resistance (IR). The objective of this study is to investigate the relationships between TyG-related parameters and the prevalence of kidney stones among adults in the United States (US).MethodsThis cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007-2020 to evaluate the associations of TyG-related parameters with kidney stones. Weighted logistic regression, restricted cubic spline (RCS) analysis, receiver operating characteristic (ROC) analysis, and subgroup analysis were employed to investigate these relationships.ResultsA total of 15,590 participants were included in the analysis. Significant differences were observed in the distributions of TyG-related parameters between those with and without kidney stones. In the fully adjusted model, participants in the highest quartile of TyG-related parameters had a higher risk of kidney stones compared to those in the lowest quartile [TyG-WC: odds ratio (OR): 2.08, 95% confidence interval (CI): 1.66-2.60; TyG-BMI: OR: 2.03, 95% CI: 1.61-2.57; TyG-WHtR: OR: 2.21, 95% CI: 1.72-2.84]. RCS analysis indicated that these associations were non-linear (P for nonlinearity <0.05). ROC analysis showed that TyG-WC had the highest diagnostic accuracy (area under curve: 0.6130). Subgroup analysis further revealed a stronger positive association between TyG-WC and TyG-WHtR and the prevalence of kidney stones in participants without hypertension (P for interaction <0.05).ConclusionsTaken together, there are strong positive correlations between TyG-related parameters and the prevalence of kidney stones in US adults. Our findings suggest that managing IR and preventing obesity may help reduce the risk of kidney stone formation.
| S-EPMC11921200 | biostudies-literature
Project description:ObjectiveWe aimed to assess the associations between sleep duration and Visceral Adiposity Index (VAI).DesignCross-sectional study.SettingThe National Health and Nutrition Examination Survey (2007-2018).ParticipantsA total 11 252 eligible participants who have complete information for sleep duration and VAI.Outcome measureThe VAI index, which is sex-specific and takes into consideration factors such as waist circumference, body mass index, high-density lipoprotein cholesterol and triglycerides, was calculated in accordance with prior research. Multiple linear regressions and subgroup analyses were employed to evaluate the connection between the duration of sleep and the VAI.ResultsThe mean sleep duration and VAI of included participants were 7.05 hours/day and 2.03, respectively. After adjusting for the sociodemographic, lifestyle and other covariates, short sleep was significantly linked to increased VAI (β=0.15, 95% CI 0.01 to 0.28) in relation to middle sleep duration, whereas no significant association was found between long sleep duration and VAI. An L-shaped relationship was observed between sleep duration and VAI. When sleep duration was less than 7.5 hours/day, a negative association between sleep duration and VAI was obvious. However, when sleep duration was >7.5 hours/day, VAI was increased with a longer sleep duration, although it was not significant.ConclusionsAn L-shaped relationship was observed between sleep duration and VAI, with insufficient sleep, being independently linked to a higher VAI. This implies that sleep deprivation might be associated with visceral adipose distribution and disfunction.
| S-EPMC11407204 | biostudies-literature
Project description:AimsTo assess the association of sleep factors (sleep duration, trouble sleeping, sleep disorder) and combined sleep behaviours with the risk of clinically relevant depression (CRD).MethodsA total of 17 859 participants (8806 males and 9053 females) aged 20-79 years from the National Health and Nutrition Examination Survey (NHANES) 2007-2014 waves were included. Sleep duration, trouble sleeping and sleep disorder were asked in the home by trained interviewers using the Computer-Assisted Personal Interviewing (CAPI) system. The combined sleep behaviours were referred to as 'sleep patterns (healthy, intermediate and poor)', with a 'healthy sleep pattern' defined as sleeping 7-9 h per night with no self-reported trouble sleeping or sleep disorders. And intermediate and poor sleep patterns indicated 1 and 2-3 sleep problems, respectively. Weighted logistic regression was performed to evaluate the association of sleep factors and sleep patterns with the risk of depressive symptoms.ResultsThe total prevalence of CRD was 9.5% among the 17 859 participants analysed, with females having almost twice as frequency than males. Compared to normal sleep duration (7-9 h), both short and long sleep duration were linked with a higher risk of CRD (short sleep: OR: 1.66, 95% CI: 1.39-1.98; long sleep: OR: 2.75, 95% CI: 1.93-3.92). The self-reported sleep complaints, whether trouble sleeping or sleep disorder, were significantly related with CRD (trouble sleeping: OR: 3.04, 95% CI: 2.59-3.56; sleep disorder: OR: 1.83, 95% CI: 1.44-2.34). Furthermore, the correlations appeared to be higher for individuals with poor sleep pattern (OR: 5.98, 95% CI: 4.91-7.29).ConclusionsIn this national representative survey, it was shown that there was a dose-response relationship between sleep patterns and CRD.
| S-EPMC9483824 | biostudies-literature
Project description:ObjectiveTo assess the association between sleep patterns and sleep factors (sleep duration, trouble sleeping, sleep disorder) and the risk of depression in older adults.MethodsA total of 5636 participants (2754 men and 2882 women) aged 60 years and older from the 2007-2014 waves of the National Health and Nutrition Examination Survey (NHANES) were included. Sleep duration, sleep problems, and sleep disorders were assessed in the home by trained interviewers using the Computer-Assisted Personal Interviewing (CAPI) system. The combined sleep behaviours were referred to as 'sleep patterns (healthy, intermediate and poor)', with a 'healthy sleep pattern' defined as sleeping 7-9 h per night with no self-reported trouble sleeping or sleep disorders. Intermediate and poor sleep patterns indicated 1 and 2-3 sleep problems, respectively. Baseline characteristics of participants analysed using one-way logistic regression. Logistic multiple linear regression was used to assess the association of sleep factors and sleep patterns with the risk of depressive symptoms.Conduct subgroup analyses to ensure robustness of findings.ResultsThe overall prevalence of depression was 7.7% among the 5636 participants analysed, with the rate of depression in older women being 1.6 times higher than in older men. The prevalence of depression was higher in older adults with intermediate sleep pattern than in older adults with healthy sleep pattern (OR: 2.28, 95% CI: 1.71-3.03, p < 0.001). The prevalence of depression was higher in older adults with poor sleep pattern than in older adults with healthy sleep pattern (OR: 5.60, 95% CI: 4.25-7.39, p < 0.001). The findings were robust after controlling for sleep items in the PHQ-9.ConclusionThis nationally representative survey showed a relationship between sleep patterns and depression in older adults. However, the study population was limited to Americans, and we recommend continued investigation of the causal relationship and mechanisms between the two in the future, and further expansion of data sources in order to assess the applicability of the findings.
| S-EPMC11761780 | biostudies-literature