2.1 Population
A total of 538 young (34.5±8.7 years) healthy Chinese adults including 269 vegetarians and 269 sex- and age-matched (± 1 year) omnivores were recruited for this study through online and offline approaches. All subjects were volunteers. The vegetarian subjects were recruited through advertisements with the Vegetarian Society of China, some vegetarian restaurants in Shanghai or other publicity in media, and word of mouth. Once included in our study, the vegetarian subjects were asked to recommended one matched omnivore among her or his friends according to the following criteria: 1) the same sex; 2) the same age or ± 1 year; and 3) a similar lifestyle and social class. The recruitment criteria for participants included 1) adoption of a vegetarian diet for at least 12 months (for vegetarians); 2) residence in Shanghai for more than 6 months; 3) age between 18 and 60 years; 4) the ability to understand the contents of the questionnaires; and 5) no history of pregnancy or breastfeeding within the previous 12 months (for female participants). The exclusion criteria included 1) a diagnosis of any renal disease, acute illness and severe nutritional malabsorption. All the subjects were invited to Xinhua Hospital between March 2015 and May 2016 to participate in this study (see the flowchart in Figure 1) after providing written informed consent. The study was approved by the Ethics Committee of Shanghai Jiao Tong University, School of Medicine.
2.2 Laboratory tests
After 10-12 hours of fasting, venous blood was collected from each participant and then sent to the Clinical Laboratory Center of Shanghai Xinhua Hospital for laboratory tests. Data for fasting blood glucose, blood lipid profiles, including total cholesterol (TC), triglycerides (TGs), low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), and the LDL/HDL ratio, and renal function parameters, including blood urea nitrogen (BUN), serum creatinine (SCr), and uric acid (UA), were collected. The eGFR was used to evaluate renal function in terms of excretion and filtration and was calculated based on the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) from SCr. Higher eGFR values indicate better renal function, mild renal impairment was defined by an eGFR<90 mL/minute/1.73 m2, and the presence of CKD was defined as an eGFR<60 mL/minute/1.73 m2 [16]. Blood pressure was also measured by an automatic blood pressure machine (OMRON, HEM-759P, Japan).
2.3 Dietary and lifestyle variable assessments
Habitual dietary intakes were assessed in a face-to-face interview using a 24-hour recall questionnaire conducted by trained dietitians (The details and of 24h dietary recall process and questionnaire see the supplement file1adn 2). We used the 24-hour dietary recall questionnaire from “Dietary survey method part of Sanitary Industry Standards of the People's Republic of China(WST426.1—2013)”,which was widely used in China, including “Chinese National Nutrition and Health Survey”[17,18]. To help subjects recall and estimate their dietary intakes, dietitians provided food images, oral descriptions, and food models as a part of the 24-hour dietary recall method. Data entry and calculation of the 24-hour dietary recall questionnaire results were performed using Nutrition Calculator v2.5 software developed by the Institute for Nutrition and Food Safety of the Chinese Center for Disease Control and Prevention and Beijing B-win Technology Co., Ltd.
All vegetarians in our study claimed that they had followed a vegetarian diet by consuming no meat, poultry or aquatic products at any meals daily for over a year. Those who did not consume any animal products were defined as “vegans”, while those who consumed eggs and/or dairy products were considered “lacto-ovo vegetarians”. Among the 269 vegetarians, 70 vegans (26.0%) and 199 lacto-ovo vegetarians (74.0%) were noted. Subjects who did not reject consumption of animal products were defined as omnivores.
All participants were required to complete general condition questionnaires via face-to-face interviews. Basic characteristics such as age, sex, income, education level, marital status, tobacco use, alcohol consumption, work intensity, and the frequency, time, and type of physical activity were recorded.
2.4 Physical examination
Height and weight were measured using digital scales to calculate the BMI. We also used a body composition analyzer (Biospace InBody 720, Korea) to detect muscle mass to identify body protein components that could affect renal function indicators, such as creatinine. All the measurements were performed by professional dietitians while the subjects were minimally clothed without shoes.
2.5 Statistical analysis
Data analysis was performed using the Statistical Program for Social Sciences 25.0 (SPSS, IBM, USA). Continuous variables are presented as the means ± standard deviations (SDs) (e.g., age, physical activity, sedentary time, BMI, blood pressure, alcohol consumption, TC, TG, LDL, HDL, the LDL/HDL ratio, BUN, SCr, UA, the eGFR and daily dietary intakes including energy, protein, protein intake/weight, the protein energy supply ratio, calcium, phosphorus, potassium and sodium). Categorical variables (e.g., sex, marital status, regular physical examination, ethnicity, education level, working intensity, income, alcohol use, and mild eGFR impairment) were presented by proportions. To compare differences between the vegetarian group and omnivore group, paired t tests were performed for continuous data, Wilcoxon matched-pairs signed-ranks tests were performed for ordinal variables, and McNemar tests were performed for matched categorical variables. Differences between the vegan group and lacto-ovo vegetarian group were also assessed. We performed two-independent-sample t tests for continuous data and used Wilcoxon rank-sum tests for ordinal variables. χ2 tests were performed for categorical variables.
Multivariable-adjusted β coefficients [95% confidence intervals (CIs)] for the associations of vegetarian dietary patterns [omnivore (reference), total vegetarian (lacto-ovo vegetarian and vegan), lacto-ovo vegetarian, and vegan] with renal function parameters (BUN, SCr, UA, and the eGFR) were estimated using linear regression. The covariates were sex, age, BMI, skeletal muscle mass, physical activity, alcohol consumption, smoking status, blood pressure, blood lipid profiles, fasting blood glucose and vegetarian diet duration. The associations between dietary intake compositions and renal function parameters were also estimated using multiple-linear regression. The covariates were sex, age, BMI, skeletal muscle mass, physical activity, alcohol consumption, smoking status, blood pressure, blood lipid profiles, fasting blood glucose and vegetarian diet duration.
All P values were calculated based on two-sided tests, and the significance level for each test was set at P <0.05.