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TaggedAPTARAEnd206                                                                               K. Shi et al.
         In the present study, we identified CKD cases with major  TaggedAPTARAPSensitivity analyses excluded participants who had CKD in
         subtypes (DKD and HTN) according to China Kidney Disease  the first 2 years and 5 years of follow-up as well as those who
                3
         Network and added CKD (International Classification of  had respiratory diseases or diabetes at baseline. We addition-
         Disease, 10th Revision: N18) without unspecified subtypes as  ally adjusted for waist circumference or self-rated health status
         other CKD 20  (Supplementary Table 2). Participants were  at baseline. We further regrouped PA categories using quan-
         followed from the date of baseline questionnaire completion to  tiles by sex. In addition, we conducted a competing risk analy-
         the date of diagnosis of CKD, death, loss to follow-up, or  sis defining mortality as the competing risk.TaggedAPTARAEnd
                                                                  TaggedAPTARAPThe statistical analyses were conducted using Stata 15.0
         December 31, 2018, whichever came first.TaggedAPTARAEnd
                                                               (StataCorp., College Station, TX, USA). Statistical signifi-
                                                               cance was set at 2-tailed p trend < 0.05.TaggedAPTARAEnd
         TaggedAPTARAH22.5. Statistical analysisTaggedAPTARAEnd
            TaggedAPTARAPThe exposure, which included total, domain-specific, and
         intensity-specific PA, was categorized into 4 groups based on  TaggedAPTARAH13. ResultsTaggedAPTARAEnd
         their quartiles. Means or percentages of baseline characteris-
                                                               TaggedAPTARAH23.1. Baseline characteristics of participants by total PATaggedAPTARAEnd
         tics were calculated across total PA categories using linear
                                                                  TaggedAPTARAPAmong all 475,376 participants, 40.62% were men, 43.12%
         regressions for continuous variables or logistic regressions for
         categorical variables and adjusting for age, sex, and study area  resided in urban areas, and the age at baseline was 51.47 §
                                                               10.51 years (mean § SD). The baseline total PA was 21.70 §
         as appropriate.TaggedAPTARAEnd
                                                               13.75 MET-h/day. The mean values in the lowest (Q1), second
            TaggedAPTARAPCox proportional hazards models were used to estimate the
         HRs and 95%CIs for the associations between PA and CKD inci-  (Q2), third (Q3), and highest (Q4) quartiles were 7.09, 14.31,
                                                               24.12, and 41.30 MET-h/day, respectively. Participants who
         dence, with age as the underlying time scale and stratified by age
                                                               were more physically active were more likely to be young,
         at baseline (in 5-year intervals) and 10 study areas. Multivariate
                                                               rural residents, agricultural and industrial workers, current
         models were adjusted for age at baseline; sex; education (primary
                                                               daily smokers, and to have lower sedentary leisure time, BMI,
         school and below, middle school and high school, or college and
         above); occupation (manual, non-manual, or not working);  and prevalence of hypertension and diabetes (Table 1).TaggedAPTARAEnd
         annual household income (<RMB10,000; RMB10,00019,999;
         >RMB19,999); marital status (married or unmarried); smoking
                                                               TaggedAPTARAH23.2. Association of total PA with CKD incidenceTaggedAPTARAEnd
         status (never or occasional, ex-regular, and among current daily
         smokers (cigarettes/day)): <15, 1524, >24); alcohol consump-  TaggedAPTARAPDuring a median of 12.1 years (interquartile range = 1.95
         tion (never or occasional, ex-regular, weekly, and among daily  years; 5.6 million person-years) of follow-up, we documented
         drinkers (g/day): <15, 1529, >2959, >59); consumption  5415 incident CKD cases, including 1159 DKD cases, 362
         frequencies of red meat, fresh vegetables, and fresh fruits (0, 0.5,  HTN cases, and 4280 other CKD cases. Upon multivariate
         2.0, 5.0, 7.0 days/week, continuous); sedentary leisure time  adjustment, total PA was inversely associated with the risk of
         (continuous); BMI (continuous); prevalent hypertension and  incident CKD in a doseresponse manner (Fig. 1 and Supple-
         diabetes (presence or absence). For domain-specific (occupational  mentary Table 3). Compared with participants in Q1 of total
         or nonoccupational) and intensity-specific (LPA or MVPA) PA  PA, the adjusted HRs (95%CIs) for incident CKD in Q2Q4
         analysis, these domains or intensities were included in the  were  0.87  (0.810.94),  0.86  (0.790.95),  and  0.83
         adjusted models. In addition, to examine the linear trend of the  (0.750.92), respectively (p for trend = 0.005). Similarly, the
         association, the median of each category of PA was included in  adjusted HRs (95%CIs) in Q4 were 0.75 (0.580.97) for DKD
                                                               (p for trend = 0.037) and 0.56 (0.370.85) for HTN (p for
         the model as a continuous variable.TaggedAPTARAEnd
            TaggedAPTARAPA single measurement of PA tends to underestimate the  trend = 0.010).TaggedAPTARAEnd
         actual association of the usual PA with CKD risk because of  TaggedAPTARAPThe associations of total PA with incident CKD and its
         within-person variation or measurement error. 21  Repeat  subtypes remained stable after exclusions, additional adjust-
         measurement of PA at the second resurvey among approxi-  ments to covariates, and categorizing the PA levels by sex.
         mately 20,000 participants was used to correct for regression  The results did not differ substantially after a competing risk
         dilution bias. The mean usual PA in each baseline category  analysis defining mortality as the competing risk (Supplemen-
         was assigned as the mean PA of the second resurvey in the  tary Table 4).TaggedAPTARAEnd
                             22
         corresponding category. TaggedAPTARAEnd
            TaggedAPTARAPSubgroup analysis was conducted to examine whether the
                                                               TaggedAPTARAH23.3. Association of domain-specific PA with CKD incidenceTaggedAPTARAEnd
         association differed by age (<60 or 60 years), sex (male or
         female), region (rural or urban), tobacco smoking (current  TaggedAPTARAPFor occupational PA, only participants in Q4 had a lower
         daily, or not current daily), alcohol consumption (current  risk of incident HTN (HR = 0.42, 95%CI: 0.210.84), whereas
                                                          2
         weekly or not current weekly), BMI (<24.0 or 24.0 kg/m ),  increased nonoccupational PA was significantly associated
         sedentary leisure time (<3hor 3 h), or prevalence of hyper-  with a decreased risk of CKD, DKD, and HTN incidence, with
         tension (no or yes) and diabetes (no or yes) at baseline. The p  an HR (95%CI) of 0.80 (0.730.88) for CKD, 0.76
         values for interaction were corrected using the false discovery  (0.630.93) for DKD, and 0.69 (0.480.99) for HTN in Q4 as
         rate.TaggedAPTARAEnd                                  compared to Q1 (Fig. 2 and Supplementary Table 5).TaggedAPTARAEnd
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