Dataset Information

Risk for chronic kidney disease increases with obesity: Health Survey for England 2010.

ABSTRACT:

Objective

Studies of the relationship between obesity and chronic kidney disease (CKD) in nationally representative population samples are limited. Our study aimed to determine if overweight and obesity were independently associated with the risk for CKD in the 2010 Health Survey for England (HSE).

Design

The HSE is an annually conducted cross-sectional study. In 2010 serum creatinine was included to determine the incidence of CKD in the population. CKD was defined as estimated glomerular filtration rate (eGFR) <60 ml/min per 1.73 m2 using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula. Multivariable logistic regression models were developed to calculate odds ratios and 95% confidence intervals for CKD risk by BMI (reference category: BMI=18.5-24.9 kg/m2) and adjusted for age, gender, ethnicity, smoking, diabetes and hypertension.

Setting

A random sample of nationally representative households in England.

Subjects

Adults (n 3463) with calculable eGFR and BMI were included.

Results

The prevalence of CKD was 5.9%. The risk of CKD was over 2.5 times higher in obese participants compared with normal-weight participants in the fully adjusted model (BMI=30.0-39.9 kg/m2: adjusted OR=2.78 (95% CI 1.75, 4.43); BMI ≥ 40.0 kg/m2: adjusted OR=2.68 (95% CI 1.05, 6.85)).

Conclusions

Obesity is associated with an increased risk of CKD in a national sample of the UK population, even after adjustment for known CKD risk factors, which may have implications for CKD screening and future national health service planning and delivery.

SUBMITTER: MacLaughlin HL

PROVIDER: S-EPMC10271826 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Risk for chronic kidney disease increases with obesity: Health Survey for England 2010.

MacLaughlin Helen L HL Hall Wendy L WL Sanders Thomas Ab TA Macdougall Iain C IC

Public health nutrition 20150306 18

<h4>Objective</h4>Studies of the relationship between obesity and chronic kidney disease (CKD) in nationally representative population samples are limited. Our study aimed to determine if overweight and obesity were independently associated with the risk for CKD in the 2010 Health Survey for England (HSE).<h4>Design</h4>The HSE is an annually conducted cross-sectional study. In 2010 serum creatinine was included to determine the incidence of CKD in the population. CKD was defined as estimated gl ...[more]

PMID: 25743030

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Project description:BackgroundThe prevalence of chronic kidney disease (CKD) in Indonesia is rising, but the exact extent of the burden of CKD in Indonesia is unknown. To design a screening program for individuals at high-risk, more knowledge is required regarding the prevalence and risk factors of CKD in Indonesia. The latter could have a big impact on the prevention and management of patients with CKD in Indonesia.MethodsFor this purpose, we analysed data from The National Basic Health Survey 2018 (Riset Kesehatan Dasar, Riskesdas 2018), a descriptive cross-sectional study in 34 provinces, 416 districts and 98 cities in Indonesia. We included subjects aged ≥18 years and analysed the prevalence of CKD. Using multiple logistic regression, we investigated the association between CKD and potential risk factors such as demographic factors (age, gender, occupational status, level of education), lifestyle and behaviours (consumption of salty food, consumption of fruit and vegetables, smoking, alcohol consumption, carbonated drink consumption, physical activity), comorbid conditions (hypertension, heart disease, diabetes mellitus, hepatitis, stroke, nutritional status) and others (clean water supply, pregnancy complication, access to health care).ResultsWe included 389 093 subjects in this study out of 713 783 subjects that participated in Riskesdas 2018 survey. The prevalence of CKD was 0.5%. The survey included mostly younger adults age 18-59 years (83.1%) with a mean (SD) age of 44.3 (15.1) years. The majority of subjects were female (60.3%), unemployed (58.4%), and the proportion of obese subject was 25.4%. Hypertension was the major comorbid condition (40.8%), while the proportion of diabetes mellitus (DM), heart disease, stroke and hepatitis were quite low (3.3%, 2.6%, 1.7% and 0.5%; respectively). Despite the high proportion of hypertension, only 36.2% of subjects did receive a prescription for anti-hypertensive medication of which only 21.7% used this medication regularly. The multiple logistic regression analysis demonstrated that hepatitis was the strongest risk factor of CKD (odds ratio (OR) = 3.406; 95% confidence interval (CI) = 2.496-4.648), exceeding the risk of CKD in patients with physical inactivity (OR = 1.236; 95% CI = 1.128-1.354), low education status (OR = 1.307; 95% CI = 1.191-1.434), male (OR = 1.527; 95% CI = 1.398-1.668), stroke (OR = 1.916; 95% CI = 1.570-2.338), heart disease (OR = 2.941; 95% CI = 2.356-3.671), and DM (OR = 2.462; 95% CI = 1.979-3.063). We also observed that DM (OR = 4.280; 95% CI = 3.756-4.876) and male subjects (OR = 1.474; 95% CI = 1.352-1.606) were identified as independent risk factors for CKD in hepatitis-positive subjects.ConclusionsThis population-based survey confirmed the increasing burden of CKD in Indonesia and suggested that besides traditional metabolic risk factors, viral hepatitis has proven to be an independent risk factor for CKD in Indonesia. Furthermore, the risk of CKD is greater in male hepatitis patients with DM. The result of this study demonstrates the need for an aggressive screening program for patients with a high risk for the development of CKD. Apart from patients with traditional cardiometabolic risk factors, such a program should include patients with viral hepatitis.

Dataset Information

Risk for chronic kidney disease increases with obesity: Health Survey for England 2010.

Objective

Design

Setting

Subjects

Results

Conclusions

Publications

Risk for chronic kidney disease increases with obesity: Health Survey for England 2010.

Similar Datasets

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