scholarly journals Prevalence and Clinical Hallmarks of Primary Exercise Headache in Middle-aged Japanese on Health Check-up

2015 ◽  
Vol 54 (20) ◽  
pp. 2577-2581 ◽  
Author(s):  
Sayori Hanashiro ◽  
Takanori Takazawa ◽  
Yuji Kawase ◽  
Ken Ikeda
2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Shingo Nakayama ◽  
Michihiro Satoh ◽  
Takahisa Murakami ◽  
Yukako Tatsumi ◽  
Tomoko Muroya ◽  
...  

Abstract Background and Aims While previous studies have reported the association between serum uric acid (SUA) and chronic kidney disease (CKD) incidence, the sex differences in this association remain controversial. Therefore, we examined the association between SUA levels and CKD incidence in middle-aged adults stratified by sex using data from a large-scale health check-up. Method We analyzed information from the JMDC database, which included the annual health check-up data of Japanese employees and their dependents aged <75 years. Among those individuals, we analyzed data from 138,511 individuals without CKD, kidney disease, or a history of cardiovascular disease at baseline. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 and/or proteinuria. We divided the participants into 9 and 7 groups according to SUA levels for men and women, respectively. A Cox model was applied to assess the adjusted hazard ratios (HRs) for CKD incidence in each SUA level group using an SUA concentration of 4.0–4.9 mg/dL as the reference after adjusting for age, body mass index, current or ex-smoker, current or ex-drinker, diabetes mellitus, dyslipidemia, systolic blood pressure, use of anti-hyperuricemic drugs, and baseline eGFR. Results The mean participant age was 44.1 years, and 29.6% were women. The mean SUA levels were 5.9 mg/dL and 4.1 mg/dL in men and women, respectively. During the mean follow-up period of 4.68 years, 12,589 participants developed CKD. The age-standardized incidence rates for CKD were 17.88/17.80 per 1000 person-years in men/women with SUA concentrations of 4.0–4.9 mg/dL, 209.76 per 1000 person-years in men with SUA ≥11.0 mg/dL, and 73.38 per 1000 person-years in women with SUA ≥ 9.0 mg/dL. The fully adjusted HRs (95% confidence interval [CI], P value) for CKD incidence in the groups with SUA concentrations of <4.0, 10.0–10.9, and ≥11.0 mg/dL compared with those with SUA of 4.0–4.9 mg/dL among men were 1.13 (1.01–1.26, P=0.030), 1.98 (1.32–2.97, P=0.0010), and 3.74 (1.68–8.35, P=0.0013), respectively. In women, the fully adjusted HRs for CKD incidence in the groups with SUA concentrations of <4.0, 8.0–8.9, and ≥9.0 mg/dL were 1.08 (1.01–1.16, P=0.032), 2.39 (1.07–5.35, P=0.034), and 3.20 (0.80–12.8, P=0.10), respectively. Similar results were observed when we performed the sensitivity analysis excluding 8,411 individuals with hypertensive treatment from the main analysis. The HRs for the outcomes caused by the onset of eGFR <60 mL/min/1.73 m2 or proteinuria separately were similar to those for the main results. Conclusion The results of the present study demonstrated an increased risk of CKD in men with SUA concentrations of <4.0 and ≥10.0 mg/dL and <4.0 and ≥8.0 mg/dL in women compared to those with SUA concentrations of 4.0–4.9 mg/dL after adjusting for various covariates. Both high and low SUA levels were risk factors for CKD in middle-aged men and women. Hyperuricemia was demonstrated to cause renal injury due to the intraluminal deposition of uric acid crystals in the renal collecting duct. Hyperuricemia may also induce endothelial dysfunction, activation of the renin-angiotensin system, and induction of inflammation and stimulation of vascular smooth muscle cell proliferation by the induction of cyclooxygenase-2. However, as uric acid is one of the most important antioxidants in human plasma, low SUA levels may increase the risk of CKD incidence through decreased antioxidant activity. These mechanisms are implicated in the pathogenesis of CKD caused by high and low SUA levels. In addition, the SUA levels and ranges associated with increased risks of CKD incidence differed by sex.


PLoS ONE ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. e0145050 ◽  
Author(s):  
Teng-Kai Yang ◽  
Peter Woo ◽  
Hung-Ju Yang ◽  
Hong-Chiang Chang ◽  
Ju-Ton Hsieh ◽  
...  

2021 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Lulu Yang ◽  
Xia Lu ◽  
Yao Zhong ◽  
Man Lin ◽  
Fangfang Lu ◽  
...  

Objective: To provide basic information and theories for prehypertension early intervention, a systematic analysis of the epidemic status and risk factors among young and middle-aged was carried out here. Methods: This study relied on the data bank of a health check-up population of a class a tertiary general hospital in Guangdong province in 2015. Total 9540 young and middle-aged adults were enrolled, and 733 people were included to find out the effect with lifestyle in these crowd. Principal Components Analysis (PCA) of Factor (FA) was used to identify dietary patterns. The logistic regression model was used to find the risk factors of prehypertension. Results: Among 9540 young and middle-aged cases, the incidence of prehypertension was 36.6%. Moreover, the average age, proportion of male gender, overweight, FBG (fasting blood glucose), dyslipidemia, and hyperuricemia were significantly higher in the prehypertension group than in the optimal BP group. Multivariate logistic regression analysis indicated that age, total cholesterol, triglycerides, uric acid, body mass index and HR (heart rate) were risk factors, and female was a protective factor for prehypertension. Among 733 cases, the incidence of prehypertension was 35.1%. The proportion of smoking, drinking, physical workers, moderate and severe physical activity, and the intake of meat, dietary energy were significantly higher in the prehypertension group than in the optimal BP group. Dietary patterns included “meat model”, “spice model”, “main vegeTables model” and “high protein model”. Multivariate logistic regression analysis indicated that age, drinking were risk factors for prehypertension, while dietary milk intake, dietary magnesium intake were protective factors. Conclusions: Prehypertension is highly prevalent in Guangzhou. However, education about effective lifestyle modifications as an alcohol limit, increasing the intake of dairy products, and magnesium may intervene in the development of prehypertension. But how to develop targeted interventions for such groups need to be further explored. The present study would lay the theoretical foundation and basic data for the next step.


2013 ◽  
Vol 34 (suppl 1) ◽  
pp. P4293-P4293
Author(s):  
H. Chishaki ◽  
C. Nakamura ◽  
M. Inoue ◽  
N. Hara ◽  
Y. Ide ◽  
...  

2019 ◽  
Vol 2 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Su Su Maw ◽  
Chiyori Haga

IntroductionThere is a need for evidence-based measures to examine the risk factors for lifestyle-related diseases. In Japan, a 2-hour interval between dinner and sleep is recommended as a healthy practice. However, the effect of an appropriate duration between dinner and bedtime on glycated haemoglobin (HbA1c) levels remains unclear. This study aimed to identify the effect of a duration of 2 hours or shorter between dinner and bedtime on HbA1c levels in middle-aged and elderly Japanese individuals.MethodsA longitudinal analysis of health check-up data (2012, 2013 and 2014) was performed. Lifestyle and anthropometric data of individuals aged 40–74 years who did not have any pre-diabetic and diabetic conditions were collected for multilevel analysis. Univariate analysis was performed to assess the influence of each lifestyle variable. Then, two-level random intercept models were created using statistical software SAS 9.3 (SAS Institute Inc, Cary, NC, USA).ResultsThe cohort comprised 1573 individuals in 2012, two-thirds of whom were women. The mean HbA1c level was 5.20% in 2012 and 5.58% in 2013 and 2014. A total of 83 (16.1%) men and 70 (7.5%) women fell asleep within 2 hours after dinner. The influence of ensuring a 2-hour interval between dinner and bedtime did not have a remarkable effect on increasing HbA1c levels. The regression coefficient of 2-hour interval and HbA1c levels over time was −0.02 (p=0.45). Smoking (p=0.013), alcohol consumption (p=0.010) and higher body mass index (BMI) (p<0.001) may have influenced HbA1c trends.ConclusionDurations of 2 hours or shorter between dinner and bedtime did not influence HbA1c changes in middle-aged and elderly Japanese people. Instead, the focus should be on maintaining a normal BMI and abstaining from smoking and consuming alcohol to ensure stable HbA1c patterns in the long term.


2014 ◽  
Vol 35 (1) ◽  
pp. 124-134 ◽  
Author(s):  
Jeong-Eun Yoo ◽  
Young-Hye Cho ◽  
Hyun-Gyung Gu ◽  
Bo-Young Kim ◽  
Young-Ju Yun

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e037247
Author(s):  
Shingo Fukuma ◽  
Tatsuyoshi Ikenoue ◽  
Jennifer Bragg-Gresham ◽  
Edward Norton ◽  
Yukari Yamada ◽  
...  

BackgroundObesity is a growing public health problem worldwide. We evaluated the mediators and association between changes in obesity metrics and renal outcomes in the general population.MethodsUsing the Japanese nationwide health check-based cohort from April 2011 to March 2019, we selected individuals aged 40–74 years, with a baseline estimated glomerular filtration rate (eGFR) ≥45 mL/min/1.73 m2, whose body mass index (BMI) change was assessed. The primary outcome was combined 30% decline in eGFR, eGFR <15 mL/min/1.73 m2 and end-stage renal disease.ResultsDuring 245 147 person-years’ follow-up among 50 604 participants (mean eGFR, 83.7 mL/min/1.73 m2; mean BMI, 24.1 kg/m2), 645 demonstrated eGFR decline (incidence rate 2.6/1000 person-years, 95% CI: 2.4 to 2.8). We observed continued initial changes in BMI for over 6 years and a U-shaped association between BMI change and eGFR decline. Compared with 0% change in BMI, adjusted HRs for changes of −10%, −4%, 4% and 10% were 1.53 (95% CI: 1.15 to 2.04), 1.14 (95% CI: 1.01 to 1.30), 1.16 (95% CI: 1.02 to 1.32) and 1.87 (95% CI: 1.25 to 2.80), respectively. The percentage of excess risk of BMI increase (>4%) mediated by three risk factors (blood pressure, haemoglobin A1c and total cholesterol), was 13.3%.ConclusionIn the middle-aged Japanese population, both, increase and decrease in BMI were associated with subsequent eGFR decline. Changes in risk factors mediated a small proportion of the association between BMI increase and eGFR decline. Our findings support the clinical significance of monitoring BMI as a renal risk factor.


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