Threshold Effects of Serum Uric Acid on Chronic Kidney Disease in US Women without Hypertension and Diabetes: A Cross-Sectional Study

Background: Serum uric acid (SUA) has been associated with increased risk of chronic kidney disease (CKD) in observational studies; however, data in women without hypertension and diabetes are sparse. Purpose: To examine the association between SUA and CKD among women without hypertension and diabetes. Methods: In this cross-sectional study of 6,776 US women without hypertension and diabetes from the National Health and Nutrition Examination Survey (1999–2006), we investigated the relationship between SUA and CKD using multivariable logistic regression models. Moreover, a generalized additive model and smooth curve fitting (penalized spline method) and a 2 piecewise logistic regression models were conducted to address for nonlinearity. Results: The prevalence of CKD was 8.3%. Multiple logistic analyses showed that per 1 mg/dL increase in SUA was associated with 39% increased prevalence of CKD. Analyses using restricted cubic spline confirmed that the association between SUA and CKD was nonlinear. Further, threshold and saturation effect analysis showed that the inflection point of SUA was 4.5 mg/dL. The ORs (95% CIs) were 0.84 (0.66–1.08) on the left side of inflection point and 1.87 (1.56–2.24) on the right side of inflection point, respectively. Subgroup analysis showed that the stronger association between SUA and CKD was observed in elder women with never/former smoking and higher fasting blood glucose levels (all p values for interaction <0.05). Conclusion: Our study suggested threshold effects of SUA on the prevalence of CKD among US women without hypertension and diabetes. SUA levels >4.5 mg/dL were positively and independently associated with CKD.

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Association between the HTR2C rs1414334 C/G gene polymorphism and the development of the metabolic syndrome in patients treated with atypical antipsychotics

PeerJ ◽

10.7717/peerj.2163 ◽

2016 ◽

Vol 4 ◽

pp. e2163 ◽

Cited By ~ 3

Author(s):

José María Rico-Gomis ◽

Antonio Palazón-Bru ◽

Irene Triano-García ◽

Luis Fabián Mahecha-García ◽

Ana García-Monsalve ◽

...

Keyword(s):

Metabolic Syndrome ◽

Logistic Regression ◽

Regression Models ◽

Atypical Antipsychotics ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models ◽

The Metabolic Syndrome

Few studies have assessed the association between the rs1414334 C/G polymorphism in the HTR2C gene and the development of the metabolic syndrome in patients treated with atypical antipsychotics. To provide further evidence, a cross-sectional study was conducted in Spain between 2012 and 2013 in 166 patients with these characteristics. In these patients, the association between the polymorphism and the presence of the metabolic syndrome was determined by implementing binary logistic regression models adjusted for variables associated with the metabolic syndrome. We did not confirm previous claims that the C allele of the polymorphism was linked to the metabolic syndrome: the association was in the opposite direction and non-significant. This conclusion held after taking gender and lifestyle variables into account.

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Characteristics of Pica Behavior among Mothers around Lake Victoria, Kenya: A Cross-Sectional Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16142510 ◽

2019 ◽

Vol 16 (14) ◽

pp. 2510

Author(s):

Esther O. Chung ◽

Brian Mattah ◽

Matthew D. Hickey ◽

Charles R. Salmen ◽

Erin M. Milner ◽

...

Keyword(s):

Logistic Regression ◽

Regression Models ◽

Lake Victoria ◽

Soft Rock ◽

Cross Sectional Study ◽

Postpartum Women ◽

Soil N ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models

Background: Pica, the craving and purposeful consumption of nonfoods, is poorly understood. We described the prevalence of pica among women on Mfangano Island, Kenya, and examined sociodemographic and health correlates. Methods: Our cross-sectional study included 299 pregnant or postpartum women in 2012. We used a 24-h recall to assess pica, defined as consumption of earth (geophagy), charcoal/ash, or raw starches (amylophagy) and built multivariable logistic regression models to examine sociodemographic and health correlates of pica. Results: Eighty-one women (27.1%) engaged in pica in the previous 24 h, with 59.3% reporting amylophagy and 56.8% reporting geophagy, charcoal, and/or ash consumption. The most common substances consumed were raw cassava (n = 30, 36.6%), odowa, a chalky, soft rock-like earth (n = 21, 25.6%), and soil (n = 17, 20.7%). Geophagy, charcoal, and/or ash consumption was negatively associated with breastfeeding (OR = 0.38, 95% CI: 0.18–0.81), and amylophagy was associated with pregnancy (OR = 4.31, 95% CI: 1.24–14.96). Pica was more common within one of six study regions (OR = 3.64, 95% CI: 1.39–9.51). We found no evidence of an association between food insecurity and pica. Conclusion: Pica was a common behavior among women, and the prevalence underscores the need to uncover its dietary, environmental, and cultural etiologies.

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The Impact of the COVID-19 Pandemic and Lockdown on Prevalence of and Risk Factors for Neck Pain Among College Students: a Cross-sectional Study

10.21203/rs.3.rs-701878/v1 ◽

2021 ◽

Author(s):

Amira Daher ◽

Ofra Halperin

Keyword(s):

Risk Factors ◽

College Students ◽

Logistic Regression ◽

Regression Models ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models ◽

Related Stress ◽

The Impact

Abstract Background: Neck pain (NP), one of the most reported musculoskeletal disorders, is a major cause of illness and absence from university lessons among students. The COVID-19 pandemic affected higher education institutions worldwide. Academic studies shifted to online-learning, changing students’ habits and lifestyle. Data demonstrated that the pandemic and consequent lockdowns can affect people’s physical and mental well-being. Thus, the aim of this study is to evaluate the impact of COVID-19 lockdowns on the prevalence of and risk factors of NP among college students compared to the pre-epidemic period. Methods: A cross-sectional study was conducted in the form of an online questionnaire survey that included sociodemographic data, Visual Analogue Scale (VAS), Neck Disability Index (NDI), and Perceived Stress Scale (PSS). NP was reported at four time points—lifetime, last year, last six months, and current—on a scale ranging from never/seldom to almost every day. Logistic regression models were calculated for all study variables and compared to the (NDI) cut-off score of 15. Results: A total of 295 college students were recruited. Among them, 35.6% reported at least moderate neck-related disability (NDI≥15) and significantly more NP than before the lockdown. NP increased gradually and significantly (on a scale 1-4), from a lifetime mean of 1.80 to a mean of 2.57 last year to 2.73 during the past six months to the current mean of 3.07 (p< .001). Participants’ scores on the PSS were moderate, with 59.3% reporting a high level of study-related stress. Logistic regression models revealed that sitting more than three hours a day, high study-related stress and higher PSS and VAS scores were associated with higher risk of at least a moderate level of neck-related disability (R2=.513, p< .001). Conclusions: The transition from on-campus studies to online learning had negative effects on students. It significantly increased study-related stress and the development of NP. Identifying risk factors at an early stage may prevent NP from becoming chronic and affecting students’ future careers, thereby improving students’ quality of life.

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Anxiety and Depression in Health Workers and General Population During COVID-19 Epidemic in IRAN: A Web-Based Cross-Sectional Study

10.1101/2020.05.05.20089292 ◽

2020 ◽

Cited By ~ 7

Author(s):

Leila Hassannia ◽

Fatemeh Taghizadeh ◽

Mahmood Moosazadeh ◽

Mehran Zarghami ◽

Hassan Taghizadeh ◽

...

Keyword(s):

Logistic Regression ◽

General Population ◽

Regression Models ◽

Health Workers ◽

Cross Sectional Study ◽

Anxiety And Depression ◽

Depression Symptoms ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models

ABSTRACTBackgroundThe COVID-19 outbreak has exerted a great deal of psychological pressure on Iranian health workers and the general population. In the present study, the prevalence of anxiety and depression symptoms along with the related variables in this epidemic were investigated.MethodAn online cross-sectional study was conducted for the general public and healthcare workers in IRAN using a questionnaire comprised of demographic questions and Hospital Anxiety and Depression Scale. Chi square test was used to compare categorical variables, and univariate and multivariate logistic regression models were conducted.ResultsOf the 2045 participants,1136 (65.6%) were considered to have moderate and severe anxiety symptoms, and 865(42.3%) had moderate and severe depression symptoms. Based on the logistic regression models, the prevalence of anxiety was higher in the females than in the males (OR=1.4, 95% CI: 1.123-1.643, P=.002); the prevalence of anxiety was significantly higher in those aged 30-39 years than in other age groups (OR=1.6, 95% CI: 1.123-2.320, P=0.001); furthermore, the prevalence of anxiety and depression was significantly higher in doctors and nurses compared with other occupations (OR=1.9, 95% CI: 1.367-2.491, P< 0.001) and(OR=1.5, 95% CI: 1.154-2.021, P=0.003). In addition, the prevalence of anxiety symptoms in the likely-infected COVID-19 group was higher than in the noninfected COVID-19 group (OR=1.35, 95% CI: 1.093-1.654, P=0.005).ConclusionsRegarding the high prevalence of anxiety and depression symptoms, especially among health care workers, appropriate psychological/psychiatric intervention necessitates.

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The multimorbidity of hypertension and osteoarthritis and relation with sleep quality and hyperlipemia/hyperglycemia in China’s rural population

Scientific Reports ◽

10.1038/s41598-021-96523-0 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Li Ran ◽

Qi Chen ◽

Jingyi Zhang ◽

Xinlong Tu ◽

Xiaodong Tan ◽

...

Keyword(s):

Sleep Quality ◽

Regression Models ◽

Joint Effect ◽

Cross Sectional Study ◽

Poor Sleep ◽

Sectional Study ◽

Additive Interaction ◽

Cross Sectional ◽

Logistic Regression Models ◽

Remote Rural Area

AbstractHypertension (HTN) and osteoarthritis (OA) are frequent in middle-aged and elderly people, and the co-occurrence of these two diseases is common. However, the pathogenesis of the multimorbidity of both diseases and the relation with sleep quality, hyperlipemia, and hyperglycemia is unclear. We conducted a cross-sectional study to make sense of the multimorbidity of HTN and OA and the relation with sleep quality, hyperlipemia, and hyperglycemia. The relation between sleep quality and OA and its joint effect with hyperlipemia or hyperglycemia was evaluated with logistic regression models. The additive interaction was assessed with the relative excess risk due to interaction (REEI), the attributable proportion (AP), and the synergy index (S). According to this research in a remote rural area, approximately 34.2% of HTN patients are accompanied with OA and 49.1% are suffering poor sleep. Both hyperlipemia/hyperglycemia and sleep quality were related to OA prevalence with crude ORs of 1.43 (95% CI 1.014–2.029) and 1.89 (95% CI 1.411–2.519, P < 0.001) respectively. An observed additive effect was found greater than the sum of the effects of sleep quality and hyperlipemia/hyperglycemia posed on OA prevalence alone. This additive interaction was observed in females (OR = 3.19, 95% CI 1.945–5.237) as well as males ≥ 65 years old (OR = 2.78, 95% CI 1.693–4.557), with RERI, AP, and S significant. Therefore, poor sleep and hyperlipemia/hyperglycemia are associated with OA, and further studies on the additive interaction among females and males ≥ 65 are warranted.

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Prevalence of Anemia and Its Associated Factors among Chronic Kidney Disease patients at University of Gondar Hospital, North West Ethiopia: a Hospital-based Cross Sectional Study

10.21203/rs.2.10112/v1 ◽

2019 ◽

Author(s):

Hailemariam Adera ◽

Workagegnehu Hailu ◽

Ayineshet Adane ◽

abilo tadesse

Keyword(s):

Chronic Kidney Disease ◽

Logistic Regression ◽

Kidney Disease ◽

Associated Factors ◽

Cross Sectional Study ◽

Northwest Ethiopia ◽

Rural Residence ◽

Sectional Study ◽

Cross Sectional ◽

Prevalence Of Anemia

Abstract Background chronic kidney disease (CKD) is a global public health problem associated with progressive decline in kidney function and adverse cardiovascular outcome. Anemia in CKD has substantial adverse outcomes in CKD patients. There is paucity of published data on prevalence of anemia and its associated factors among CKD patients in Northwest Ethiopia. Objective This study aimed to determine the prevalence of anemia and its associated factors among CKD patients at University of Gondar hospital, Northwest Ethiopia. Methods A hospital-based cross-sectional study was conducted from May1, to September 30, 2018. Consecutive sampling was used to recruit 251 study subjects. Data regarding patient’s socio-demographics, clinical characteristics and laboratory parameters were collected from patients’ interview and medical records. Data was analyzed using SPSS version 20. Bi-variate and multi-variate logistic regression analyses were used to identify predictors of anemia in CKD patients. P<0.05 was used to declare association. Results The prevalence of anemia was high (64.5%), and tended to increase as eGFR declined. Hypertension (45%), chronic glomerulonephritis (24%) and diabetes (20%) were common causes of CKD. Multivariate logistic regression analysis revealed rural residence (AOR= 2.75, 95% CI: 1.34-5.65, p=0.006), BMI<18.5 kg/m2 (AOR=6.78, 95% CI: 1.32-34.73, p=0.022) and BMI of 18.5-24.9 kg/m2 (AOR=5.04, 95% CI: 1.26-20.10, p=0.022), and having hemodialysis history (AOR=3.59, 95% CI: 1.24-10.38, p=0.018) were predictors of anemia in CKD patients. Conclusion Prevalence of anemia in CKD patients was high (64.5%). Rural residence, non-obese body habitus and having hemodialysis history were found to be predictors of anemia in CKD patients. Periodic screening and intervention for anemia in CKD patients should be practiced to prevent its sequelae.

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Association between Eating Away from Home and Hyperuricemia: A Population-Based Nationwide Cross-Sectional Study in China

BioMed Research International ◽

10.1155/2019/2792681 ◽

2019 ◽

Vol 2019 ◽

pp. 1-7 ◽

Cited By ~ 1

Author(s):

Zifeng Liu ◽

Xiaoting Su ◽

Mianli Xiao ◽

Peien Zhou ◽

Jianwei Guo ◽

...

Keyword(s):

Regression Models ◽

Population Based ◽

Cross Sectional Study ◽

Noncommunicable Diseases ◽

Sectional Study ◽

Nutrition Survey ◽

Cross Sectional ◽

Logistic Regression Models ◽

Health And Nutrition ◽

Home Food

Hyperuricemia (HU) is a risk factor for different kinds of chronic noncommunicable diseases, and eating away from home (EAFH) may play an important role in their development, which has been ignored greatly so far. This study aimed to investigate the association between EAFH and HU in different models. A cross-sectional study involving 8,322 participants of the China Health and Nutrition Survey (CHNS) was conducted. Logistic regression models were used to analyze the data. We found that participants who consumed more away-from-home food had a higher risk for HU, and the adjusted odds ratio (aOR) and 95% confidence interval (CI) (for each increment in grades of EAFH) were 1.11 (1.02, 1.20) in a multiadjusted model (adjusted for age, gender, province, net individual income, body mass index, smoking, leisure-time physical activities, energy intake, and sleep duration). As for stratified analyses, the aOR (95% CI) of EAFH was 1.12 (1.01, 1.24) for men and 1.06 (0.92, 1.21) for women. Similar results can be found in the middle-aged and obese population, with aOR (95% CI) of EAFH as 1.17 (1.05, 1.30) and 1.15 (1.03, 1.29), respectively. In conclusion, EAFH is positively associated with the prevalence of HU.

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Association between serum uric acid and chronic kidney disease in patients with hypertension: A multicenter nationwide cross‐sectional study

Journal of Evidence-Based Medicine ◽

10.1111/jebm.12364 ◽

2019 ◽

Vol 12 (4) ◽

pp. 235-242 ◽

Cited By ~ 6

Author(s):

Wisit Kaewput ◽

Charat Thongprayoon ◽

Ram Rangsin ◽

Prajej Ruangkanchanasetr ◽

Tarun Bathini ◽

...

Keyword(s):

Chronic Kidney Disease ◽

Uric Acid ◽

Kidney Disease ◽

Serum Uric Acid ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional

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Gingivitis Susceptibility and its Relation to Periodontitis in Men

Journal of Dental Research ◽

10.1177/154405910608501213 ◽

2006 ◽

Vol 85 (12) ◽

pp. 1134-1137 ◽

Cited By ~ 17

Author(s):

T. Dietrich ◽

E. Krall Kaye ◽

M.E. Nunn ◽

T. Van Dyke ◽

R.I. Garcia

Keyword(s):

Regression Models ◽

Cross Sectional Study ◽

Multiple Logistic Regression ◽

Sectional Study ◽

Cross Sectional ◽

Bleeding On Probing ◽

Attachment Loss ◽

Logistic Regression Models ◽

Quit Smoking ◽

Former Smokers

The objective of this cross-sectional study was to evaluate whether gingivitis susceptibility is associated with periodontitis. We analyzed data of 462 men in the VA Dental Longitudinal Study aged 47 to 92 years who had never smoked or had quit smoking 5+ years previously. Multiple logistic regression models, with tooth-level bleeding on probing at sites with attachment loss ≤ 2 mm as the dependent variable, were derived with adjustment for plaque, calculus, crown coverage, age, income, education, marital status, body mass index, diabetes, and vitamin C intake, and stratification by age (< 65, 65+ years). Periodontitis and mean attachment loss were positively associated with bleeding on probing, with stronger associations among men < 65 years old (for periodontitis, OR 2.1; 95% CI 1.5, 3.1) than men 65+ years of age (OR 1.2; 95% CI 0.9, 1.6). Our results suggest that among never and former smokers, gingivitis susceptibility is higher among men with periodontitis compared with that in men without periodontitis.

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Associations of co-exposure to metals with serum uric acid and hyperuricemia: A cross-sectional study

10.21203/rs.3.rs-53257/v1 ◽

2020 ◽

Author(s):

Shunli Jiang ◽

Shuang Zhou ◽

Huimin Liu ◽

Cheng Peng ◽

Xu Zhang ◽

...

Keyword(s):

Uric Acid ◽

Serum Uric Acid ◽

Arsenic Exposure ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Logistic Regression Models ◽

High Selenium ◽

Urinary Vanadium ◽

Metals Exposure

Abstract While lead exposure is associated with hyperuricemia, there is scarce evidence about whether other metals are associated with serum uric acid (SUA) levels and hyperuricemia, and whether joint effects among metals existed. We conducted a cross-sectional study in 1950 eligible participants with 20 metals measured in urine. We used multivariable linear and logistic regression models to investigate the associations of metals exposure with SUA levels and hyperuricemia risk. We found that urinary vanadium and arsenic concentrations were associated with increased SUA levels in both sexes while urinary selenium concentrations were inversely associated with SUA levels in males. Each doubling of vanadium, arsenic, and selenium concentrations was associated with an adjusted odds ratio of 1.17 (95% CI: 1.03, 1.33), 1.22 (95% CI: 0.99, 1.50), and 0.67 (95% CI: 0.50, 0.88) for hyperuricemia in males, respectively. In addition, under the exposure of vanadium and arsenic, only if high selenium content existed, no significantly increased SUA levels and hyperuricemia risk in both sexes can be found. Vanadium and arsenic exposure were suggested to be associated with elevated SUA levels and hyperuricemia risk with sex difference while high selenium status might counteract their detrimental effects.

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