Prevalence and risk factors of kidney stone disease in population aged 40–70 years old in Kharameh cohort study: a cross-sectional population-based study in southern Iran

• Published in: BMC urology Vol. 22; no. 1; pp. 205 - 9
• Main Authors: Moftakhar, Leila, Jafari, Fatemeh, Ghoddusi Johari, Masoumeh, Rezaeianzadeh, Ramin, Hosseini, Seyed Vahid, Rezaianzadeh, Abbas
• Format: Journal Article
• Language: English
• Published: London BioMed Central 19.12.2022; BioMed Central Ltd; BMC
• Subjects: Accuracy; Adult; Age; Aged; Body mass index; Body weight; Calculi; Cohort analysis; Cohort Studies; Cross-Sectional Studies; Diabetes; Diabetes mellitus; Disease; Fatty liver; Female; Humans; Hypertension; Internal Medicine; Iran - epidemiology; Kidney Calculi - epidemiology; Kidney stone; Kidney stones; Kidneys; Male; Medical research; Medicine; Medicine & Public Health; Medicine, Experimental; Metabolism; Middle Aged; Morbidity; Nephrolithiasis; Overweight; PERSIAN cohort; Population; Population studies; Population-based studies; Prevalence; Prevalence studies (Epidemiology); Regression analysis; Risk factor; Risk Factors; Urology; Womens health; Iran; Prevalence; PERSIAN cohort; Kidney stone; Risk factor
• ISSN: 1471-2490; 1471-2490
• DOI: 10.1186/s12894-022-01161-x

Background Kidney stone is the major cause of morbidity, and its prevalence is increasing in the world. This study aimed to assess the prevalence and risk factors of kidney stone in the adult population of southern Iran based on the data of the Kharameh Cohort Study. Methods This cross-sectional study was conducted on 10,663 individuals aged 40–70 years old, using the baseline data of Kharamah cohort study, which started in 2014. Among all participants, 2251 individuals had a history of kidney stone. The participants’ demographic characteristics, behavioral habits, and the history of underlying diseases were investigated. The crude and Age Standardized Prevalence Rate of kidney stones was calculated. Also, logistic regression was used to identify the predictors of kidney stone. To check the goodness of fit index of the model, we used the Hosmer–Lemeshow test. All analyses were performed in STATA software. Results The prevalence of kidney stone was estimated 21.11%. Also, the Age Standardized Prevalence Rate in men and women was calculated 24.3% and 18.7%, respectively. The mean age of the participants was 52.15 years. Higher prevalence of kidney stone was seen in women aged 40–50 years (40.47%, p  = 0.0001) and moderate level of social economic status (31.47%, p  = 0.03), men with overweight (44.69%, p  < 0.0001) and those in a very high level of social economic status (35.75%, p  = 0.001). The results of multiple logistic regression showed that the chance of having kidney stone was 1.17 times higher in diabetic individuals, 1.43 times higher in hypertensive individuals, 2.21 times higher in individuals with fatty liver, and 1.35 times higher in individuals with overweight. The level of socio economic status, male sex, and age were the other factors related to kidney stone. Conclusion In this study, underlying diseases such as fatty liver, diabetes, and hypertension as well as age, male sex, overweight, and high social economic status were identified as important risk factors for kidney stone. Therefore, identifying individuals at risk of kidney stone and providing the necessary training can greatly help to reduce this disease. However, health policymakers should prepare preventive strategies to reduce the occurrence of kidney stone.