scholarly journals A large-scale population-based epidemiological study on the prevalence of central sensitization syndromes in Japan

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yasuo Haruyama ◽  
Toshimi Sairenchi ◽  
Koji Uchiyama ◽  
Keisuke Suzuki ◽  
Koichi Hirata ◽  
...  
Keyword(s):  
Central Sensitization ◽  
Large Scale ◽  
Population Based ◽  
Cross Sectional Study ◽  
Healthy Population ◽  
Coffee Intake ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Potential Factors ◽  
Japanese Residents

AbstractA cross-sectional study of 21,665 Japanese residents was performed to investigate the prevalence of central sensitization syndromes (CSS). CSS were assessed using the Central Sensitization Inventory (CSI-A). CSS were defined as a CSI-A score of 40 or higher. Age, sex, district, 10 CSS-related diseases (CSI-B), lifestyle, and mental factors were rated in a self-reported survey. The prevalence of CSS and its relationship with potential factors were examined by sex using descriptive and logistic regression models. The prevalence of CSS was 4.2% in all participants and was significantly higher in women (4.9%) than in men (2.7%). Adjusted odds ratios correlated with CSS for an age of 80–97 years versus 60–79 years (2.07 and 2.89), one or more CSI-B diseases (3.58 and 3.51), few sleeping hours (2.18 and 1.98), high perceived stress (5.00 and 4.91), low (2.94 and 2.71) and high (0.45 and 0.66) resilience versus moderate resilience, and exercise habits (0.68 and 0.55) in men and women (all P < 0.05). The relationship between CSS and age 20 and 59 years, ex-smokers, coffee intake, and alcohol intake differed by sex. The prevalence of CSS was estimated to be low in the healthy population. CSS correlated with CSS-related diseases and some positive and negative factors.

A large-scale population-based epidemiological study on the prevalence of central sensitization syndromes in Japan

2021 ◽  
Author(s):  
Yasuo Haruyama ◽  
Toshimi Sairenchi ◽  
Koji Uchiyama ◽  
Keisuke Suzuki ◽  
Koichi Hirata ◽  
...  
Keyword(s):  
Central Sensitization ◽  
Large Scale ◽  
Population Based ◽  
Cross Sectional Study ◽  
Future Research ◽  
Coffee Intake ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Scale Population ◽  
Potential Factors

Abstract To investigate the prevalence of CSS in a general population. A large-scale cross-sectional study on 21,661 residents (7,531 men, 14,130 women) in a community in Japan was performed. CSS were assessed using Central Sensitization Inventory (CSI-A, B). Participants with a CSI-A score ≥40 was defined as having CSS. Age, sex, district, CSI-B (10 CSS-related diseases), lifestyle, and mental health factors were rated in a self-reported survey. The prevalence of CSS and its relationship with potential factors were examined by sex using descriptive and logistic regression models. The prevalence of CSS was 5.4% (95% Confidence Interval (CI) 5.1 to 5.7) in all participants. It significantly differed between men (3.6%, 95% CI 3.2 to 4.1) and women (6.3%, 95% CI 5.6 to 6.7). A CSI-A score ≥40 correlated with more than one CSI-B disease, exercise habits, sleeping hours per day, perceived stress, and resilience in both men and women. In women, age, ex-smokers, coffee intake (≥1 day per week), and alcohol intake correlated with CSS. The prevalence of CSS was 5.4% in the community examined and was higher in women than in men. CSS-related diseases and many factors correlated with CSS. The present results provide important information for future research on CSS.

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

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
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.

scholarly journals Suicidal ideation in relation to disordered eating, body size and weight perception: a cross-sectional study of a Norwegian adolescent population: the HUNT Study

BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e029809 ◽  
Author(s):  
Farzaneh Saeedzadeh Sardahaee ◽  
Turid Lingaas Holmen ◽  
Nadia Micali ◽  
Erik R Sund ◽  
Ottar Bjerkeset ◽  
...  
Keyword(s):  
Body Size ◽  
Suicidal Ideation ◽  
Disordered Eating ◽  
Weight Perception ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Norwegian Population ◽  
Hunt Study

ObjectiveWe conducted a population-based study on a sample of more than 7000 adolescents where we examined the associations between suicidal ideation (SI) and disordered eating (DE) and its related traits.DesignCross-sectional.SettingsData were derived from two Norwegian population-based cohorts, the Young-HUNT1 (1995–1997) and Young-HUNT3 (2006–2008) from the county of Nord-Trøndelag, Norway.ParticipantsA total of 7268 adolescents (15–19 years) who had completed self-reported questionnaires including items on SI, DE, body size and weight perception were included.Primary outcome measuresORs for SI given DE, body size or weight perception. Analyses were performed in multivariate logistic regression models.ResultsThe prevalence of SI was 23.1% in total population. Both girls and boys who reported DE, evaluated their body size asnot‘about the same as others’ or were ‘unhappy about their weight’ had between twofold to fivefold increase in odds for SI; these incremental risks were observed independent of sex, age, body mass index and socioeconomic status. We observed higher odds for SI among boys.ConclusionsOur findings suggest a clear association between SI and DE and its associated traits, in both genders but especially in males. Special attention should be paid on early detection of DE traits among adolescents.

scholarly journals Fermentable Oligo-, Di-, and Mono-Saccharides and Polyols (FODMAPs) Consumption and Irritable Bowel Syndrome in the French NutriNet-Santé Cohort

Nutrients ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 4513
Author(s):  
Elodie Schneider ◽  
Jean-Marc Sabaté ◽  
Michel Bouchoucha ◽  
Serge Hercberg ◽  
Mathilde Touvier ◽  
...  
Keyword(s):  
Irritable Bowel Syndrome ◽  
Daily Intake ◽  
Population Based ◽  
Cross Sectional Study ◽  
P Value ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
The Mean ◽  
Irritable Bowel ◽  
Composition Table

(1) Background: Specific foods, and more particularly, fermentable oligo-, di-, and mono-saccharides and polyols (FODMAPs) are often considered as triggers of digestive symptoms in Irritable Bowel Syndrome (IBS). Our aim was to study FODMAP consumption in controls and IBS participants in a large French population-based cohort; (2) Methods: Participants from the NutriNet-Santé cohort study completed the Rome IV and IBS-SSS questionnaire in a cross sectional study. Among them, 27,949 eligible participants had previously completed three 24-h recalls as well as anthropometrics, socio-demographical and lifestyle data. Total FODMAP intake (in g/day) was computed using a specific composition table. The association between FODMAPs and IBS was estimated through multivariable logistic regression models; (3) Results: Included participants were mainly women (75.4%) and the mean age was 43.4 ± 14.1 years. FODMAPs accounted for a mean daily intake of 19.4 ± 9.5 g/day. Overall 1295 participants (4.6%) were identified with an IBS. After adjusting for confounding factors, IBS participants had lower intakes in FODMAPs than non-IBS ones (aOR: 0.88, 95% CI: 0.82–0.95, p-value: 0.001). IBS severity was associated with more frequent low FODMAP intakes (<9 g/day); (4) Conclusions: Participants tended to consume 19 g of FODMAPs per day, but slightly less for IBS participants than for controls. In IBS participants, higher severity was associated with lower intakes.

scholarly journals Association of hypertriglyceridemic waist phenotype with renal function impairment: a cross-sectional study in a population of Chinese adults

2020 ◽  
Author(s):  
Yun Qiu ◽  
Qi Zhao ◽  
Yian Gu ◽  
Na Wang ◽  
Yuting Yu ◽  
...  
Keyword(s):  
Renal Function ◽  
Risk Factor ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Chinese Adults ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Hypertriglyceridemic Waist ◽  
Increased Risk

Abstract Background: The hypertriglyceridemic waist (HTGW) phenotype has been suggested as a risk factor for chronic kidney disease (CKD), but evidence on relationship of triglyceride waist phenotypes with estimated glomerular filtration rate (eGFR) status and severity is limited. Our aim was to explore the association of triglyceride waist phenotypes with reduced eGFR and various decreased eGFR stages among Chinese adults.Methods: A population-based, cross-sectional study was conducted among Chinese participants aged 20-74 years during June 2016 to December 2017 in Shanghai, China. An eGFR value below 60 mL/min/1.73 m2 was defined as Decreased eGFR. The HTGW phenotype was defined as a triglycerides (TG) level ≥1.7 mmol/L and a waist circumference (WC) ≥90 cm for men and ≥80 cm for women. We examined the association of triglyceride waist phenotypes with decreased eGFR risk using the weighted logistic regression models.Results: A total of 31,296 adults were included in this study. Compared with normal TG level/normal WC (NTNW) phenotype, normal TG level/enlarged WC (NTGW), elevated TG level/normal WC (HTNW), elevated TG level/enlarged WC (HTGW) were associated with the increased risk of decreased eGFR, with an multivariable-adjusted ORs (95% CI) of 1.77 (1.42-2.20), 1.48 (1.16-1.90), and 2.30 (1.80-2.93), respectively. These positive associations between triglyceride waist phenotypes and decreased eGFR risk remained across almost all the subgroups, including sex, age, BMI, T2DM, and hypertension. NTGW, HTNW, and HTGW phenotype were consistently positively associated with the risk of mildly and moderately decreased eGFR, but not with severely decreased eGFR risk.Conclusions: HTGW was consistently associated with the increased risk of decreased eGFR and various decreased eGFR stages except for severely decreased eGFR. The findings imply that HTGW may be an important risk factor for renal dysfunction or an indicator for prevention and control aiming to reduce renal function decline.

scholarly journals The relation between dietary phytochemical index and metabolic syndrome and its components in a large sample of Iranian adults: a population-based study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Azam Ahmadi Vasmehjani ◽  
Zahra Darabi ◽  
Azadeh Nadjarzadeh ◽  
Masoud Mirzaei ◽  
Mahdieh Hosseinzadeh
Keyword(s):  
Metabolic Syndrome ◽  
Energy Intake ◽  
Lower Risk ◽  
Population Based ◽  
Cross Sectional Study ◽  
Food Sources ◽  
Protective Effects ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Second Category

Abstract Background Despite the protective effects of foods being rich in phytochemicals against chronic diseases, this issue is still poorly understood. The aim of this study was to investigate the association between Dietary Phytochemical Index (DPI) and metabolic syndrome (MetS) and its components. Methods This cross-sectional study focused on adults aged between 20 and 70years. The dietary intake was assessed using a validated and reliable food frequency questionnaire. DPI was calculated based on dietary energy, derived from phytochemical-rich food sources (kcal) per total daily energy intake (kcal). The odds ratio of MetS and its components were assessed across DPI quartiles by logistic regression models. Results After adjustment for all potential confounders, the risk of MetS (OR: 0.63, 95% CI = 0.41–0.96) and elevated blood pressure (OR: 0.62, 95% CI = 0.40–0.96) in the second category of DPI decreased significantly as compared to that in the first category. Subjects in the second and fourth quartiles of DPI with adjusting for age, sex and total energy intake revealed 30 and 25% lower risk of abdominal obesity, respectively. After full adjustment for confounders, the analysis stratified by sex showed women in the highest quartile of DPI had 59% lower risk of MetS (OR: 0.41, 95% CI = 0.22–0.76) as compared to those in the lowest quartile of DPI. Conclusions Greater adherence to phytochemical-rich diet could reduce odds of MetS and some components, especially in women. Further studies with intervention approaches are recommended.

scholarly journals Multimorbidity Patterns in the General Population: Results from the EpiChron Cohort Study

2020 ◽  
Vol 17 (12) ◽  
pp. 4242
Author(s):  
Ignatios Ioakeim-Skoufa ◽  
Beatriz Poblador-Plou ◽  
Jonás Carmona-Pírez ◽  
Jesús Díez-Manglano ◽  
Rokas Navickas ◽  
...  
Keyword(s):  
General Population ◽  
Large Scale ◽  
Musculoskeletal Diseases ◽  
Epidemiological Studies ◽  
Population Based ◽  
Cross Sectional Study ◽  
Real World Data ◽  
Cross Sectional ◽  
Complex Interactions ◽  
And Gender

The correct management of patients with multimorbidity remains one of the main challenges for healthcare systems worldwide. In this study, we analyze the existence of multimorbidity patterns in the general population based on gender and age. We conducted a cross-sectional study of individuals of all ages from the EpiChron Cohort, Spain (1,253,292 subjects), and analyzed the presence of systematic associations among chronic disease diagnoses using exploratory factor analysis. We identified and clinically described a total of 14 different multimorbidity patterns (12 in women and 12 in men), with some relevant differences in the functions of age and gender. The number and complexity of the patterns was shown to increase with age in both genders. We identified associations of circulatory diseases with respiratory disorders, chronic musculoskeletal diseases with depression and anxiety, and a very consistent pattern of conditions whose co-occurrence is known as metabolic syndrome (hypertension, diabetes, obesity, and dyslipidaemia), among others. Our results demonstrate the potential of using real-world data to conduct large-scale epidemiological studies to assess the complex interactions among chronic conditions. This could be useful in designing clinical interventions for patients with multimorbidity, as well as recommendations for healthcare professionals on how to handle these types of patients in clinical practice.

scholarly journals Association and Predictive Value Analysis for Resting Heart Rate and Diabetes Mellitus on Cardiovascular Autonomic Neuropathy in General Population

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Zi-Hui Tang ◽  
Fangfang Zeng ◽  
Zhongtao Li ◽  
Linuo Zhou
Keyword(s):  
General Population ◽  
Predictive Value ◽  
Large Scale ◽  
Reference Group ◽  
Characteristic Curve ◽  
Predictive Performance ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Value Analysis

Background.The purpose of this study was to evaluate the predictive value of DM and resting HR on CAN in a large sample derived from a Chinese population.Materials and Methods.We conducted a large-scale, population-based, cross-sectional study to explore the relationships of CAN with DM and resting HR. A total of 387 subjects were diagnosed with CAN in our dataset. The associations of CAN with DM and resting HR were assessed by a multivariate logistic regression (MLR) analysis (using subjects without CAN as a reference group) after controlling for potential confounding factors. The area under the receiver-operating characteristic curve (AUC) was used to evaluate the predictive performance of resting HR and DM.Results.A tendency toward increased CAN prevalence with increasing resting HR was reported (Pfor trend<0.001). MLR analysis showed that DM and resting HR were very significantly and independently associated with CAN (P<0.001for both). Resting HR alone or combined with DM (DM-HR) both strongly predicted CAN (AUC = 0.719, 95% CI 0.690–0.748 for resting HR and AUC = 0.738, 95% CI 0.710–0.766 for DM-HR).Conclusion.Our findings signify that resting HR and DM-HR have a high value in predicting CAN in the general population.

scholarly journals Prevalence and Factors for Anxiety during the COVID-19 Pandemic among College Students in China

2021 ◽  
Vol 18 (9) ◽  
pp. 4974
Author(s):  
Jing Guan ◽  
Cuiping Wu ◽  
Dandan Wei ◽  
Qingqing Xu ◽  
Juan Wang ◽  
...  
Keyword(s):  
College Students ◽  
Large Scale ◽  
Anxiety Symptoms ◽  
Preventive Behaviors ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Potential Factors ◽  
The Government ◽  
The Impact

Background: Knowledge of the impact of COVID-19 on the mental health of college students remains limited. Our aim is to investigate the prevalence of anxiety and explore the potential risk and protective factors of anxiety. Methods: A cross-sectional survey was adopted and a total of 24,678 college students were included from Zhengzhou, Henan Province, China, during February, 2020. Anxiety was assessed by using the Generalized Anxiety Disorder tool (GAD-7). Multiple logistic regression models were established for exploring potential factors of anxiety. Results: The overall prevalence of anxiety was 7.3%. After adjusting for potential confounders, sex, place of residence, worried level, fear level, cognitive levels, and behavior status were found to be associated with anxiety (p < 0.05). Students with positive preventive behaviors showed a protective effect against the anxiety symptoms compared to those with negative preventive behaviors. In contrast to the high-cognition category, participants at a low cognitive level were 14.9% more likely to present anxiety symptoms. Conclusion: This large-scale study assessed the prevalence of anxiety and its potential influencing factors among college students. It suggests that the government could strengthen health education related to COVID-19 and supervise the performance of preventive behaviors to handle anxiety.

scholarly journals Obesity and Prevalence of Latent Tuberculosis: A Population-Based Survey

2021 ◽  
Vol 14 ◽  
pp. 117863372199460
Author(s):  
Alaa Badawi ◽  
Christina J Liu
Keyword(s):  
Body Weight ◽  
Risk Factor ◽  
Adult Population ◽  
Latent Tuberculosis ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Cardiometabolic Risk Markers ◽  
And Control

Objective: Diminution in body weight is a known risk factor that increases the burden of active tuberculosis (TB). However, conflicting evidence exists for the effect of body weight on the risk of latent tuberculosis infection (LTBI). The objective of the present study is to examine the prevalence of LTBI at different body weights, evaluate the extent of association between body mass index (BMI) and LTBI and identify factors mediating this relationship in an adult population. Methods: We conducted a cross-sectional study to estimate the relationship between BMI and LTBI in participants from the US-National Health and Nutrition Examination Survey (NHANES; 2012, n = 5156; 514 with LTBI and 4642 controls). Results: The association between BMI and levels of cardiometabolic risk markers in both LTBI and control groups had a similar profile. When adjusted for age and sex, BMI was significantly inversely correlated with the prevalence of LTBI ( r = −0.147, P < .001). Effect of BMI on the risk of LTBI was evaluated using multivariate logistic regression models adjusted for age, sex, diabetes, and level of education. In this model, increasing BMI was significantly associated with lower risk of LTBI (OR = 0.85; 95%CI: 0.77-0.96, P < .01). Conclusion: This study further establishes an inverse relationship between BMI and prevalence of LTBI. Decreased BMI can be considered as a risk factor in LTBI, the reservoir for active TB cases.

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