Relationship between cigarette smoking and hyperuricemia in middle-aged and elderly population: a cross-sectional study

2016 ◽  
Vol 37 (1) ◽  
pp. 131-136 ◽  
Author(s):  
Tuo Yang ◽  
Yi Zhang ◽  
Jie Wei ◽  
Chao Zeng ◽  
Liang-jun Li ◽  
...  
Keyword(s):  
Cigarette Smoking ◽  
Elderly Population ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Middle Aged ◽  
Cross Sectional

scholarly journals Prevalence of chronic kidney disease and associated metabolic risk factors in a middle-aged and elderly Taiwanese population: a cross-sectional study

2020 ◽  
Author(s):  
Mei-Chun Lu ◽  
I-Ju Chen ◽  
Wei-Chung Yeh ◽  
Hai-Hua Chuang ◽  
Yu-Chung Tsao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Chronic Kidney Disease ◽  
Elderly Population ◽  
Cross Sectional Study ◽  
Metabolic Risk ◽  
Multiple Logistic Regression ◽  
Sectional Study ◽  
Middle Aged ◽  
Cross Sectional

Abstract Background: This study aimed to quantify the prevalence of chronic kidney disease (CKD) and associated metabolic risk factors in a middle-aged and elderly population in Guishan District, Taoyuan City, Taiwan. Methods: This cross-sectional study enrolled residents aged 50-90 years living in one community. All subjects received a standardized personal interview, including a structured questionnaire, anthropometric measurements, and blood samples collected for laboratory testing. CKD was defined as the presence of kidney damage (urine albumin-creatinine ratio ≥30mg/g) or estimated glomerular filtration rate (eGFR) <60 mL/min/1.73m 2 . Multiple logistic regression models were used to evaluate risk factors associated with CKD. Results : A total of 400 subjects were enrolled. The overall prevalence of CKD was 20.3% (95% CI: 16.36–24.24%). The age-specific prevalence of CKD in subjects aged 50-64 years, 65-74 years, and 75 years and over was 17.7%, 18.8%, and 33.9%, respectively, (p value for Cochran-Armitage trend test = 0.022). Multiple logistic regression model revealed that elevated blood pressure (OR = 2.55, 95% CI: 1.30–5.01), hyperglycemia (OR = 2.78, 95% CI: 1.59–4.88), hyperuricemia (OR = 1.36, 95% CI: 1.12–1.65) and metabolic syndrome (OR = 2.48, 95% CI: 1.40–4.40) were statistically and significantly associated with CKD. Conclusions: The prevalence of CKD in our study population is high. Hypertension, hyperglycemia, hyperuricemia and metabolic syndrome are significantly associated with CKD in a middle-aged and elderly population in Taiwan.

scholarly journals Metabolic Risk Factors Associated With Chronic Kidney Disease in a Middle-Aged and Elderly Taiwanese Population: A Cross-Sectional Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Mei-Chun Lu ◽  
I-Ju Chen ◽  
Le-Tien Hsu ◽  
Ying-Jen Chen ◽  
Meng-Ting Tsou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Chronic Kidney Disease ◽  
Elderly Population ◽  
Cross Sectional Study ◽  
Metabolic Risk ◽  
Multiple Logistic Regression ◽  
Sectional Study ◽  
Middle Aged ◽  
Cross Sectional ◽  
Factors Associated

Background: This study aimed to quantify the proportion of participants with chronic kidney disease (CKD) and associated metabolic risk factors in a middle-aged and elderly population in Guishan District, Taoyuan City, Taiwan.Methods: This cross-sectional study enrolled residents aged 50–90 years living in one community. All participants received a standardized personal interview, including a structured questionnaire, anthropometric measurements, and blood samples collected for laboratory testing. CKD was defined as the presence of kidney damage (urine albumin-creatinine ratio ≥30 mg/g) or estimated glomerular filtration rate (eGFR) &lt; 60 mL/min/1.73 m2. Multiple logistic regression models were used to evaluate the risk factors associated with CKD.Results: A total of 400 participants were enrolled. The overall proportion of participants with CKD was 20.5% (95% confidence interval [CI]: 16.54–24.46%). The proportions of participants with CKD among those aged 50–64, 65–74, and 75 years and over were 17.7, 18.8, and 35.7%, respectively (p = 0.01). Multiple logistic regression model revealed that elevated blood pressure (odds ratio [OR] = 2.23, 95% CI: 1.16–4.30), hyperglycemia (OR = 2.87, 95% CI: 1.64–5.00), hyperuricemia (OR = 1.38, 95% CI: 1.14–1.69), and metabolic syndrome (OR = 2.30, 95% CI: 1.31–4.06) were significantly associated with CKD.Conclusions: The prevalence of CKD in the study population was high. Hypertension, hyperglycemia, hyperuricemia, and metabolic syndrome are significantly associated with CKD in a middle-aged and elderly population in Taiwan.

scholarly journals Prevalence and associated factors of metabolic syndrome in Chinese middle-aged and elderly population: a national cross-sectional study

2021 ◽  
Vol 24 (1) ◽  
pp. 148-159
Author(s):  
Yang Xiong ◽  
Yangchang Zhang ◽  
Fuxun Zhang ◽  
Changjing Wu ◽  
Feng Qin ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Associated Factors ◽  
Elderly Population ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Middle Aged ◽  
Cross Sectional

Prevalence and determinants for xerosis cutis in the middle-aged and elderly population: A cross-sectional study

2019 ◽  
Vol 81 (4) ◽  
pp. 963-969.e2 ◽  
Author(s):  
Selma Mekić ◽  
Leonie C. Jacobs ◽  
David A. Gunn ◽  
Andrew E. Mayes ◽  
M. Arfan Ikram ◽  
...  
Keyword(s):  
Elderly Population ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Middle Aged ◽  
Cross Sectional

scholarly journals Prevalence of disabilities and non-communicable diseases in an elderly population in the Telangana state, India: a population-based cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041755
Author(s):  
Srinivas Marmamula ◽  
Satya Brahmanandam Modepalli ◽  
Thirupathi Reddy Kumbham ◽  
Rajesh Challa ◽  
Jill E Keeffe
Keyword(s):  
Elderly Population ◽  
Self Care ◽  
The Elderly ◽  
Population Based ◽  
Cross Sectional Study ◽  
Communicable Diseases ◽  
Self Report ◽  
Sectional Study ◽  
Cross Sectional ◽  
Non Communicable Diseases

ObjectivesTo assess the prevalence of disabilities (vision, hearing, mobility, cognitive, self-care and communication) and non-communicable diseases (NCDs) among the elderly population in two districts in Telangana, India.DesignPopulation-based cross-sectional study using a cluster random sampling method to select the study clusters.SettingElderly population in Khammam and Warangal districts were recruited. Detailed interviews were conducted by trained community health workers. Personal and demographic information such as age, gender, level of education and a self-report of NCDs was collected. The Washington Disability Questionnaire was administered to assess the presence of disabilities.Participants1821 participants aged ≥60 years, 54.5% were women, and 73.3% had no education.Primary outcome measurePrevalence of disabilities and NCDs.ResultsOverall, the prevalence of at least disability was 20.3% (95% CI 16.3 to 24.9). The prevalence of self- reported disabilities were: seeing (5.9%; 95% CI 4.4 to 7.8), mobility (12.8%; 95% CI 9.7 to 16.8), hearing (3.6%; 95% CI 2.7 to 4.8), cognition (4.8%; 95% CI 3.5 to 6.7), self-care (3.3%; 95% CI 2.3 to 4.7) and communication (1.8%; 95% CI 1.2 to 2.6). Overall, the prevalence of at least one NCD was 34.2% (95% CI 30.9 to 37.7). Hypertension was the most common systemic condition (25.4%; 95% CI 22.4 to 28.7), followed by diabetes (9.0%; 95% CI 7.3 to 11.0), and body pains (muscle-skeletal) (9.9%; 95% CI 8.1 to 12.2).ConclusionEvery fifth elderly person in the districts of Khammam and Warangal in Telangana had at least one self-reported disability. Besides, a third of the elderly had at least one NCD. There is a definite need to develop comprehensive public health strategies to address disabilities and NCDs in Telangana.

scholarly journals Use of electronic cigarettes and secondhand exposure to their aerosols are associated with asthma symptoms among adolescents: a cross-sectional study

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Abdullah Alnajem ◽  
Abdullah Redha ◽  
Dalal Alroumi ◽  
Ahmed Alshammasi ◽  
Mohamad Ali ◽  
...  
Keyword(s):  
Cigarette Smoking ◽  
Cross Sectional Study ◽  
Cigarette Use ◽  
Sectional Study ◽  
Uncontrolled Asthma ◽  
Cross Sectional ◽  
Current Asthma ◽  
The Past ◽  
Asthma Symptoms ◽  
History Of

Abstract Background Globally, a surge in electronic cigarette (e-cigarette) use has been observed in recent years, with youth being the most susceptible group. Given their recent emergence, studies assessing the health consequences of using e-cigarettes and exposure to their secondhand aerosols (SHA) are limited. Hence, this study sought to assess associations between e-cigarette use and household exposure to SHA from e-cigarettes with asthma symptoms among adolescents. Methods A school-based cross-sectional study was conducted by enrolling high school students (n = 1565; aged 16–19 years) in Kuwait. Participants self-completed a questionnaire on tobacco products use (e-cigarettes and cigarettes) and asthma symptoms. Current e-cigarette use and cigarette smoking were defined as any use in the past 30 days. Household exposure to SHA from e-cigarettes in the past 7 days was reported as none (0 days), infrequent (1–2 days), and frequent (≥ 3 days). Asthma symptoms included current (past 12 months) wheeze, current asthma (history of clinical diagnosis and current wheeze and/or medication use), and current symptoms of uncontrolled asthma (≥ 4 attacks of wheeze, ≥ 1 night per week sleep disturbance from wheeze, and/or wheeze affecting speech). Associations were assessed using Poisson regression with robust variance estimation, and adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) were estimated. Results Among the analytical study sample (n = 1345), current e-cigarette use and cigarette smoking was reported by 369 (27.4%) and 358 (26.6%) participants, respectively. Compared to never e-cigarette users and never cigarette smokers, current e-cigarette users with no history of cigarette smoking had increased prevalence of current wheeze (aPR = 1.54, 95% CI 1.01–2.45) and current asthma (aPR = 1.85, 95% CI 1.03–3.41). Moreover, the frequency of exposure to household SHA from e-cigarettes was associated with asthma symptoms. For example, compared to those with no exposure to household SHA, frequent exposure to household SHA was associated with current wheeze (aPR = 1.30, 95% CI 1.04–1.59), current asthma (aPR = 1.56, 95% CI 1.13–2.16), and current uncontrolled asthma symptoms (aPR = 1.88, 95% CI 1.35–2.62). Conclusions E-cigarette use and their household SHA exposure were independently associated with asthma symptoms among adolescents. Hence, such observations indicate that e-cigarette use and passive exposure to their aerosols negatively impact respiratory health among adolescents.

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