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TaggedAPTARAEnd208 K. Shi et al.
TaggedAPTARAPIn line with a previous meta-analysis showing that people
TaggedAPTARAH23.4. Association of intensity-specific PA with CKD incidenceTaggedAPTARAEnd
with the highest level of PA had a 16% lower risk of CKD
TaggedAPTARAPFor intensity-specific PA, increased LPA was associated 23
compared to people with the lowest level of PA, our results
with a decreased risk of CKD and DKD, with an HR (95%CI)
found a comparable magnitude of risk in a smaller range of
of 0.85 (0.770.94) for CKD and 0.75 (0.600.94) for DKD
total PA (Q4: 24.75 MET-h/day vs. Q1: <13.07 MET-h/
in Q4. Similarly, the HR (95%CI) in Q4 of MVPA was 0.85
day). This suggests total PA might be an important modifiable
(0.760.95) for CKD, 0.77 (0.601.00) for DKD, and 0.60
risk factor for CKD. Comparable results were demonstrated
(0.380.92) for HTN (Fig. 3 and Supplementary Table 6).TaggedAPTARAEnd
with incident end-stage renal disease in a study using similar
assessment methods for PA. 24 In contrast, some studies have
observed either an increased risk or no effect associated with
TaggedAPTARAH23.5. Subgroup analysisTaggedAPTARAEnd
TaggedAPTARAPIn the analysis of the association between total PA and total PA on CKD. 6,8 The inconsistency is due at least partly to
CKD, no statistically significant heterogeneity was observed different definitions of PA and to the limited statistical power
for these strata (all false discovery rate corrected p for interac- of a relatively small sample size (fewer than 10,000 partici-
pants). Thus, more studies with a detailed assessment of total
tion > 0.05) (Supplementary Table 7).TaggedAPTARAEnd
PA are necessary to confirm our findings.TaggedAPTARAEnd
TaggedAPTARAPThis study explored the association between different
TaggedAPTARAH14. DiscussionTaggedAPTARAEnd
domains of PA and CKD risk, including occupational PA,
TaggedAPTARAPIn this large-scale, population-based cohort study in the which few studies have looked at to date. Similar to the PA
12
Chinese population, total PA was inversely associated with CKD paradox, our findings showed no significant association
incidence and its major subtypes, including DKD and HTN. Such between occupational PA and CKD, probably due to the low
associations were similar for nonoccupational PA, and both LPA intensity and long duration of occupational PA as well as the
fact of the increase in heart rate and blood pressure for 24 h.
and MVPA were also inversely associated with CKD.TaggedAPTARAEnd
TaggedAPTARAFigure
Fig. 2. Associations of domain-specific physical activity with risk of CKD. Usual occupational physical activities in different categories were 2.56, 7.84, 12.03,
and 17.11 MET-h/day, and usual nonoccupational physical activity in different categories were 6.22, 8.20, 9.77, and 11.11 MET-h/day, respectively. Models were
stratified by baseline age groups and study regions and adjusted for age; sex; education; occupation; household income; marital status; tobacco smoking; alcohol
consumption; sedentary leisure time; nonoccupational physical activity (or occupational physical activity); consumption frequency of red meat, fresh vegetables,
and fresh fruits; BMI; and prevalent hypertension and diabetes at baseline. The squares represent HRs, and the vertical lines represent 95%CIs. The dashed lines
represent a linear trend of the association between usual domain-specific physical activity and the risk of CKD. The numbers above the vertical lines are point esti-
mates for HRs. 95%CI = 95% confidence interval; BMI = body mass index; CKD = chronic kidney disease; DKD = diabetic kidney disease; HR = hazard ratio;
HTN = hypertensive nephropathy; MET-h/day = metabolic equivalent of task hours per day.TaggedAPTARAEnd