scholarly journals Association between abdominal obesity and increased risk for the development of hypertension regardless of physical activity: A nationwide population-based study

2018 ◽  
Vol 20 (10) ◽  
pp. 1417-1426 ◽  
Author(s):  
Eun-Jung Rhee ◽  
Jung-Hwan Cho ◽  
Hyemi Kwon ◽  
Se-Eun Park ◽  
Jin-Hyung Jung ◽  
...  
2019 ◽  
Vol 46 (8) ◽  
pp. 695-701 ◽  
Author(s):  
Ju Hee Han ◽  
Ji Hyun Lee ◽  
Kyung Do Han ◽  
Ha‐Na Kim ◽  
Chul Hwan Bang ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Nele Friedrich ◽  
Harald J. Schneider ◽  
Ulrich John ◽  
Marcus Dörr ◽  
Sebastian E. Baumeister ◽  
...  

Background. Abdominal obesity is a major risk factor of cardiovascular disease (CVD), type 2 diabetes (T2DM), and premature death. However, it has not been resolved which factors predispose for the development of these adverse obesity-related outcomes in otherwise healthy individuals with abdominal obesity.Methods. We studied 1,506 abdominal obese individuals (waist-to-height ratio (WHtR) ≥ 0.5) free of CVD or T2DM from the population-based Study of Health in Pomerania and assessed the incidence of CVD or T2DM after a five-year followup. Logistic regression models were adjusted for major cardiovascular risk factors and liver, kidney diseases, and sociodemographic status.Results. During follow-up time, we observed 114 and 136 new T2DM and CVD cases, respectively. Regression models identified age, waist circumference, serum glucose, and liver disease as predictors of T2DM. Regarding CVD, only age, unemployment, and a divorced or widowed marital status were significantly associated with incident CVD. In this subgroup of obese individuals blood pressure, serum glucose, or lipids did not influence incidence of T2DM or CVD.Conclusion. We identified various factors associated with an increased risk of incident T2DM and CVD among abdominally obese individuals. These findings may improve the detection of high-risk individuals and help to advance prevention strategies in abdominal obesity.


Endoscopy ◽  
2005 ◽  
Vol 37 (05) ◽  
Author(s):  
SJ Murphy ◽  
LA Anderson ◽  
BT Johnston ◽  
DA Fitzpatrick ◽  
RGP Watson ◽  
...  

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Hossein Farhadnejad ◽  
Karim Parastouei ◽  
Hosein Rostami ◽  
Parvin Mirmiran ◽  
Fereidoun Azizi

Abstract Background In the current study, we aimed to investigate the association of dietary inflammation scores (DIS) and lifestyle inflammation scores (LIS) with the risk of metabolic syndrome (MetS) in a prospective population-based study. Methods A total of 1625 participants without MetS were recruited from among participants of the Tehran Lipid and Glucose Study(2006–2008) and followed a mean of 6.1 years. Dietary data of subjects were collected using a food frequency questionnaire at baseline to determine LIS and DIS. Multivariable logistic regression models, were used to calculate the odds ratio (ORs) and 95 % confidence interval (CI) of MetS across tertiles of DIS and LIS. Results Mean ± SD age of individuals (45.8 % men) was 37.5 ± 13.4 years. Median (25–75 interquartile range) DIS and LIS for all participants was 0.80 (− 2.94, 3.64) and 0.48 (− 0.18, − 0.89), respectively. During the study follow-up, 291 (17.9 %) new cases of MetS were identified. Based on the age and sex-adjusted model, a positive association was found between LIS (OR = 7.56; 95% CI 5.10–11.22, P for trend < 0.001) and risk of MetS, however, the association of DIS and risk of MetS development was not statistically significant (OR = 1.30;95% CI 0.93–1.80, P for trend = 0.127). In the multivariable model, after adjustment for confounding variables, including age, sex, body mass index, physical activity, smoking, and energy intake, the risk of MetS is increased across tertiles of DIS (OR = 1.59; 95% CI 1.09–2.33, P for trend = 0.015) and LIS(OR = 8.38; 95% CI 5.51–12.7, P for trend < 0.001). Conclusions The findings of the current study showed that greater adherence to LIS and DIS, determined to indicate the inflammatory potential of diet and lifestyle, are associated with increased the risk of MetS.


2021 ◽  
Author(s):  
Tzong‐Hann Yang ◽  
Sudha Xirasagar ◽  
Yen‐Fu Cheng ◽  
Chia‐Hui Wang ◽  
Herng‐Ching Lin

2012 ◽  
Vol 200 (5) ◽  
pp. 374-380 ◽  
Author(s):  
Shaw-Ji Chen ◽  
Yu-Lin Chao ◽  
Chuan-Yu Chen ◽  
Chia-Ming Chang ◽  
Erin Chia-Hsuan Wu ◽  
...  

BackgroundThe association between autoimmune diseases and schizophrenia has rarely been systematically investigated.AimsTo investigate the association between schizophrenia and a variety of autoimmune diseases and to explore possible gender variation in any such association.MethodTaiwan's National Health Insurance Research Database was used to identify 10 811 hospital in-patients with schizophrenia and 108 110 age-matched controls. Univariate and multiple logistic regression analyses were performed, separately, to evaluate the association between autoimmune diseases and schizophrenia. We applied the false discovery rate to correct for multiple testing.ResultsWhen compared with the control group, the in-patients with schizophrenia had an increased risk of Graves' disease (odds ratio (OR) = 1.32, 95% CI 1.04–1.67), psoriasis (OR = 1.48, 95% CI 1.07–2.04), pernicious anaemia (OR = 1.71, 95% CI 1.04–2.80), celiac disease (OR = 2.43, 95% CI 1.12–5.27) and hypersensitivity vasculitis (OR = 5.00, 95% CI 1.64–15.26), whereas a reverse association with rheumatoid arthritis (OR = 0.52, 95% CI 0.35–0.76) was also observed. Gender-specific variation was found for Sjögren syndrome, hereditary haemolytic anaemia, myasthenia gravis, polymyalgia rheumatica and dermatomyositis.ConclusionsSchizophrenia was associated with a greater variety of autoimmune diseases than was anticipated. Further investigation is needed to gain a better understanding of the aetiology of schizophrenia and autoimmune diseases.


2021 ◽  
Vol 10 (5) ◽  
pp. 1065
Author(s):  
Eun Hui Bae ◽  
Sang Yeob Lim ◽  
Jin-Hyung Jung ◽  
Tae Ryom Oh ◽  
Hong Sang Choi ◽  
...  

Obesity has become a pandemic. It is one of the strongest risk-factors of new-onset chronic kidney disease (CKD). However, the effects of obesity and abdominal obesity on the risk of developing CKD in young adults has not been elucidated. From a nationwide health screening database, we included 3,030,884 young adults aged 20–39 years without CKD during a baseline examination in 2009–2010, who could follow up during 2013–2016. Patients were stratified into five levels based on their baseline body mass index (BMI) and six levels based on their waist circumference (WC; 5-cm increments). The primary outcome was the development of CKD. During the follow up, until 2016, 5853 (0.19%) participants developed CKD. Both BMI and WC showed a U-shaped relationship with CKD risk, identifying the cut-off values as a BMI of 21 and WC of 72 cm in young adults. The obesity group (odd ratio [OR] = 1.320, 95% confidence interval [CI]: 1.247–1.397) and abdominal obesity group (male WC ≥ 90, female WC ≥ 85) (OR = 1.208, 95%CI: 1.332–1.290) showed a higher CKD risk than the non-obesity or non-abdominal obesity groups after adjusting for covariates. In the CKD risk by obesity composite, the obesity displayed by the abdominal obesity group showed the highest CKD risk (OR = 1.502, 95%CI: 1.190–1.895), especially in those under 30 years old. During subgroup analysis, the diabetes mellitus (DM) group with obesity or abdominal obesity paradoxically showed a lower CKD risk compared with the non-obesity or non-abdominal obesity group. Obesity and abdominal obesity are associated with increased risk of developing CKD in young adults but a decreased risk in young adults with diabetes.


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