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Hypertension and physical inactivity are significant contributors to global mortality and are modifiable risk factors for many chronic diseases. Physical inactivity is prevalent in China, where the weighted prevalence of hypertension in adults was 27.5% and rising (1). Previous research suggests that physical inactivity may increase mortality risk, particularly among individuals with hypertension (2). However, research on longitudinal changes in physical activity (PA) and mortality among hypertensive individuals in China is limited. Therefore, we used baseline data from the 2010 China Chronic Disease and Risk Factor Surveillance (CCDRFS) and conducted follow-up from 2016 to 2017 to assess changes in PA and their impact on mortality among adults with and without hypertension. Our findings indicate that individuals who increased their PA levels had a lower risk of all-cause mortality than those who remained inactive, regardless of hypertension status. This survival advantage was more pronounced among individuals with hypertension. These results underscore the importance of encouraging individuals with hypertension to increase or maintain moderate to high PA levels to improve longevity and overall health.
The CCDRFS is a periodic series of nationally representative surveys conducted every three years (every five years since 2018) since 2004, focusing on chronic health status and related risk factors among Chinese adults. In this study, ten provinces (Hebei, Jilin, Heilongjiang, Zhejiang, Jiangxi, Henan, Hunan, Sichuan, Guizhou, and Shanxi) were selected from the 2010 CCDRFS, and two monitoring sites (one in an urban area and one in a rural area) were selected in each province. A follow-up survey was conducted from 2016 to 2017, and data on all-cause mortality until December 2022 were obtained from the Cause of Death Reporting System of the China CDC. Initially, 10,874 participants were enrolled at baseline. After excluding 2,985 participants lost to follow-up and 407 participants lacking key covariate information, the final analysis sample included 7,482 individuals.
Baseline and follow-up surveys included inquiries, physical measurements, and laboratory tests. PA was assessed by inquiring about the intensity and duration of various physical activities in a typical week, such as farm work, housework, transportation-related activities, exercise, and recreational activities. PA was quantified as metabolic equivalent of task minutes per week (MET-min/week). Participants were categorized into low (<600 MET-min/week), moderate (600 to 3,000 MET-min/week), and high (≥3,000 MET-min/week) physical activity level (PAL) at baseline and follow-up (3). Changes were classified into nine groups within the three categories of baseline PAL: low-to-low, low-to-moderate, low-to-high, moderate-to-low, moderate-to-moderate, moderate-to-high, high-to-low, high-to-moderate, and high-to-high.
For further details, refer to the 2010 CCDRFS and other relevant literature (4-5). The study was sanctioned by the Ethics Committee of the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, and all participants provided informed consent.
Descriptive data are presented as mean±standard deviation (SD), frequency (percentage), or median [interquartile range (IQR)]. Baseline characteristics were compared using t-tests or chi-square tests. Cox proportional hazards regression models were employed to evaluate the associations between changes in PAL and all-cause mortality. Statistical analyses were conducted using SAS (version 9.4; SAS Institute Inc., Cary, NC, USA), with two-tailed tests at a significance level of 0.05.
Table 1 outlines the baseline characteristics of the participants, with an average age of 46.96 and 43.20% male. Hypertension was present in 39.56% of participants. Statistically significant differences were observed in all baseline characteristics analyzed, except for current drinking and PAL. Compared with the non-hypertension group, the hypertension group was older, had a higher proportion of male and rural residents, included more people with low education and poor dietary habits, and had a higher prevalence of chronic diseases (all P<0.05).
Characteristics Total
(N=7,482)Non-hypertension
(N=4,522)Hypertension
(N=2,960)P All-cause death, n (%) 215 (2.87) 86 (1.90) 129 (4.36) <0.001 Age, mean±SD, years 46.96±13.50 42.86±12.71 53.22±12.21 <0.001 Age group, years, n (%) <0.001 18–44 3,269 (43.69) 2,555 (56.50) 714 (24.12) 45–59 2,825 (37.76) 1,481 (32.75) 1,344 (45.41) 60 and above 1,388 (18.55) 4,86 (10.75) 902 (30.47) Sex, n (%) 0.018 Male 3,232 (43.20) 1,904 (42.11) 1,328 (44.86) Female 4,250 (56.80) 2,618 (57.89) 1,632 (55.14) Education, n (%) <0.001 Elementary school/below 3,470 (46.38) 1,863 (41.20) 1,607 (54.29) Junior high school 2,320 (31.01) 1,491 (32.97) 829 (28.01) High school or technical secondary school 1,036 (13.85) 672 (14.86) 364 (12.30) College degree and above 656 (8.76) 496 (10.97) 160 (5.40) Marital status, n (%) <0.001 Unmarried 428 (5.72) 357 (7.89) 71 (2.40) Married or living together 6,360 (85.00) 3,836 (84.83) 2,524 (85.27) Divorced/separated/other 694 (9.28) 329 (7.28) 365 (12.33) Residence, n (%) 0.001 Urban 3,348 (44.75) 2,096 (46.35) 1,252 (42.30) Rural 4,134 (55.25) 2,426 (53.65) 1,708 (57.70) Current smoking, n (%) <0.001 Yes 2,123 (28.37) 1,321 (29.21) 802 (27.09) No 5,359 (71.63) 3,021 (70.79) 2,158 (72.91) Current drinking, n (%) 0.079 Yes 2,887 (38.59) 1,781 (39.39) 1,106 (37.36) No 4,595 (61.41) 2,741 (60.61) 1,854 (62.64) Obese or overweight, n (%) <0.001 Yes 3,607 (48.21) 1,717 (37.97) 1,890 (63.85) No 3,875 (51.79) 2,805 (62.03) 1,070 (36.15) Abdominal obesity, n (%) <0.001 Yes 2,160 (28.87) 897 (19.84) 1,263 (42.67) No 5,322 (71.13) 3,625 (80.16) 1,697 (57.33) Dyslipidemia, n (%) <0.001 Yes 366.7 (49.01) 2,126 (47.01) 1,541 (52.06) No 3,815 (50.99) 2,396 (52.99) 1,419 (47.94) Diabetes mellitus, n (%) <0.001 Yes 508 (6.79) 190 (4.20) 318 (10.74) No 6,974 (93.21) 4,332 (95.80) 2,642 (89.26) Insufficient intake of fruits and vegetables, n (%) <0.001 Yes 3,719 (49.71) 2,163 (47.83) 1,556 (52.57) No 3,763 (50.29) 2,359 (52.17) 1,404 (47.43) Excessive intake of red meat, n (%) <0.001 Yes 2,270 (30.34) 1,568 (34.67) 702 (23.72) No 5,212 (69.66) 2,954 (65.33) 2,258 (76.28) SBP (mmHg), M (IQR) 131.00 (27.00) 121.67 (15.00) 152.00 (22.33) <0.001 DBP (mmHg), M (IQR) 81.33 (15.33) 76.00 (10.33) 92.00 (13.00) <0.001 PAL, n (%) 0.447 Low 1,050 (14.03) 616 (13.62) 434 (14.66) Moderate 2,519 (33.67) 1,528 (33.79) 991 (33.48) High 3,913 (52.30) 2,378 (52.59) 1,535 (51.86) Abbreviation: SD=standard deviation; M=median; IQR=interquartile range; SBP=systolic blood pressure; DBP=diastolic blood pressure; PAL=physical activity level. Table 1. Baseline characteristics of participants by hypertension in China, 2010.
During an average follow-up period of 11.88±1.89 years, 215 deaths occurred. Table 2 demonstrates the association between changes in PAL and all-cause mortality. After adjusting for sex, age, smoking and drinking status, diabetes mellitus, dyslipidemia, abdominal obesity, obese or overweight, fruit and vegetable intake, red meat intake, and residence, most groups exhibited a significantly reduced risk of all-cause mortality following changes in PAL compared to the low-to-low group. Notably, the high-to-low group experienced less risk reduction [hazard ratios (HR)=0.41, 95% confidence interval (CI): 0.24, 0.70] than the high-to-high group (HR=0.25, 95% CI: 0.16, 0.41) and the moderate-to-moderate groups (HR=0.25, 95% CI: 0.13, 0.47). Similar results were observed regardless of hypertension status. Additionally, hypertension acted as a significant effect modifier of the association between PA change and all-cause mortality (P for interaction <0.001). Increasing PAL brings greater health benefits, while decreasing PAL brings a greater risk of death. For example, among hypertensive individuals, the high-to-high group demonstrated a 78% lower risk of all-cause mortality (HR=0.22, 95% CI: 0.12, 0.41) compared to the low-to-low group, while among those without hypertension, the risk reduction was 67% (HR=0.33, 95% CI: 0.15, 0.71). Moreover, a larger proportion of deaths were attributed to PAL changes from high to low among hypertensive individuals compared to non-hypertensive individuals.
Change in PAL Deaths/N Person-years Mortality rate
(per 1,000 person-years)HR (95% CI) for all-cause mortality Crude HR (95% CI) AHR (95% CI) Total Low-to-low 28/337 4,016.58 6.97 1.00 (reference) 1.00 (reference) Low-to-moderate 12/338 4,095.75 2.93 0.42 (0.21, 0.82)* 0.36 (0.18, 0.71)* Low-to-high 10/375 4,527.68 2.21 0.31 (0.15, 0.65)* 0.31 (0.15, 0.64)* Moderate-to-low 30/617 7,235.09 4.15 0.58 (0.35, 0.97)* 0.63 (0.38, 1.06) Moderate-to-moderate 15/796 9,642.62 1.56 0.22 (0.12, 0.41)* 0.25 (0.13, 0.47)* Moderate-to-high 25/1,106 13,289.99 1.88 0.27 (0.16, 0.46)* 0.29 (0.17, 0.51)* High-to-low 25/733 8,822.53 2.83 0.40 (0.24, 0.69)* 0.41 (0.24, 0.70)* High-to-moderate 26/1,043 12,585.13 2.07 0.29 (0.17, 0.50)* 0.31 (0.18, 0.53)* High-to-high 44/2,137 25,857.22 1.70 0.24 (0.15, 0.39)* 0.25 (0.16, 0.41)* Non-hypertension Low-to-low 9/171 2,054.06 4.38 1.00 (reference) 1.00 (reference) Low-to-moderate 2/196 2,377.66 0.84 0.19 (0.04, 0.88)* 0.20 (0.04, 0.91)* Low-to-high 4/249 3,014.73 1.33 0.30 (0.09, 0.98)* 0.32 (0.10, 1.03) Moderate-to-low 9/365 4,410.60 2.04 0.47 (0.18, 1.17) 0.56 (0.22, 1.41) Moderate-to-moderate 7/487 5,896.90 1.19 0.27 (0.10, 0.73)* 0.34 (0.13, 0.93)* Moderate-to-high 13/676 8,093.58 1.61 0.36 (0.16, 0.85)* 0.41 (0.18, 0.97)* High-to-low 8/427 5,160.87 1.55 0.35 (0.14, 0.92)* 0.37 (0.14, 0.95)* High-to-moderate 12/618 7,459.24 1.61 0.37 (0.15, 0.87)* 0.42 (0.17, 0.99)* High-to-high 22/1,333 16,127.03 1.36 0.31 (0.14, 0.68)* 0.33 (0.15, 0.71)* Hypertension Low-to-low 19/166 1,962.52 9.68 1.00 (reference) 1.00 (reference) Low-to-moderate 10/142 1,718.08 5.82 0.59 (0.28, 1.27) 0.47 (0.21, 1.02) Low-to-high 6/126 1,512.96 3.97 0.41 (0.15, 0.94)* 0.36 (0.14, 0.90)* Moderate-to-low 21/252 2,824.48 7.43 0.73 (0.39, 1.35) 0.70 (0.37, 1.30) Moderate-to-moderate 8/309 3,745.71 2.14 0.22 (0.09, 0.50)* 0.21 (0.09, 0.47)* Moderate-to-high 12/430 5,196.41 2.31 0.24 (0.11, 0.49)* 0.24 (0.12, 0.50)* High-to-low 17/306 3,661.66 4.64 0.48 (0.25, 0.92)* 0.44 (0.23, 0.85)* High-to-moderate 14/425 5,125.89 2.73 0.28 (0.14, 0.56)* 0.27 (0.13, 0.53)* High-to-high 22/804 9,730.19 2.26 0.23 (0.12, 0.43)* 0.22 (0.12, 0.41)* P for interaction <0.001 <0.001 Note: Adjusted for sex, age, smoking, drinking, diabetes mellitus, dyslipidemia, abdominal obesity, obese or overweight, fruit and vegetable intake, red meat intake, and residence.
Abbreviation: PA=physical activity; PAL=physical activity level; HR=hazard ratio; AHR=adjusted hazard ratio; CI=confidence interval.
* P<0.05.Table 2. HRs (95% CIs) associated with the all-cause mortality risk for various changes in physical activity level among Chinese adults during 2010–2022.
Table 3 presents the results of subgroup analyses among participants with hypertension. Using the low-to-low group as a reference, only sex and current smoking status were found to modify the association between change in PAL and all-cause mortality among adults with hypertension (P value for interaction <0.05).
Characteristics HR (95% CIs) P for interaction Age group, years 0.099 <60 3.31 (0.36, 30.17) ≥60 0.27 (0.13, 0.57) Sex 0.017 Male 0.68 (0.24, 1.91) Female 0.28 (0.11, 0.74) Residence 0.140 Urban 0.92 (0.28, 2.99) Rural 0.18 (0.08, 0.39) Current smoking 0.030 Yes 0.60 (0.20, 2.08) No 0.36 (0.17, 0.77) Current drinking 0.413 Yes 0.68 (0.18, 2.55) No 0.30 (0.14, 0.65) Obese or overweight 0.903 Yes 0.41 (0.18, 0.96) No 0.26 (0.10, 0.69) Abdominal obesity 0.205 Yes 0.27 (0.12, 0.62) No 0.68 (0.22, 2.13) Dyslipidemia 0.503 Yes 0.34 (0.13, 0.88) No 0.30 (0.13, 0.69) Diabetes mellitus 0.321 Yes 0.58 (0.12, 2.75) No 0.28 (0.15, 0.59) Note: Take the low-to-low group as a reference, and report the hazard ratios of high-to-high group; Adjusted for age, sex, smoking, drinking, fruit and vegetable intake, red meat intake, diabetes mellitus, dyslipidemia, abdominal obesity, and residence.
Abbreviation: HR=hazard ratio; CI=confidence interval.Table 3. Subgroup analyses of the association between changes in physical activity and all-cause mortality among participants with hypertension.
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This study identified a significant link between reduced all-cause mortality risk and changes in PAL, particularly among individuals with hypertension. Therefore, regardless of baseline PAL, increasing PA or maintaining a moderate to high PAL may be beneficial.
Our findings parallel prior research focusing on PAL changes in the general population. For instance, in the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) study involving 100,554 participants, those maintaining moderate or high PAL reduced their death risk by 34% over a median 7.3-year follow-up (5). Similarly, findings from the Guangzhou Biobank Cohort Study indicated that compared to individuals sustaining moderate PAL, those transitioning from high or moderate to low PAL faced elevated all-cause mortality risk, whereas those maintaining or increasing high PAL experienced lower mortality risk (6). Intriguingly, the study noted that shifting to high PAL conferred benefits similar to sustaining high PAL, aligning with our study’s implications for motivating those with low initial PAL to elevate their activity levels.
Our research highlighted the amplified benefits of increasing PAL among hypertensive participants compared to non-hypertensive ones (P for interaction <0.001), consistent with findings from the Korea National Health Insurance Service (KNHIS) database (7). Additionally, a negative correlation between total PA and reduced all-cause mortality risk was observed among hypertensive adults in China (8). However, this study, measuring PA at a single time point, overlooked PA changes over time. Notably, we observed a greater proportion of deaths in hypertensive patients transitioning from high to low PAL compared to non-hypertensive individuals or those maintaining moderate PAL, underscoring the importance of avoiding significant declines in physical activity.
The biological mechanisms underlying the synergistic effects between PAL changes and hypertension remain unclear (6–7). Existing literature suggests that PA may mitigate mortality risk by enhancing cardiovascular structure and function and regulating systemic metabolism, among other mechanisms. Another Chinese population-based cohort study supported a joint association between PAL and smoking with mortality in hypertensive individuals, reporting that increasing PALs might counteract some of the extra risks from smoking (9). This study also indicated that, among different PALs, non-smokers had lower mortality risks than smokers (9). This helps explain our finding that non-smokers who increased their PAL had a lower mortality risk. These findings suggest that increasing physical activity while quitting smoking may provide additional benefits. Moreover, subgroup analysis also shows sex differences in the relationship between changes in PAL and the risk of mortality. However, several studies did not find such differences in effects (10). This discrepancy may be due to different measurement methods and gender ratios. Therefore, further research is needed to confirm this relationship.
This study has several limitations. First, reliance on self-reported PA introduces inevitable recall bias and potential social desirability bias, which may result in inaccurate reporting. Second, the relatively small number of deaths may have constrained the statistical power to identify influential covariates, thereby limiting the interpretation of negative comparative findings. Future research should utilize objective methods, such as activity monitors, to measure physical activity and expand the sample size and explore a broader range of contexts to further validate the conclusions of this study.
In conclusion, our study underscores the link between increased PA and reduced all-cause mortality, with stronger associations observed among hypertensive patients maintaining moderate or high PAL. Hence, advocating for sustained PA and preventing age-related declines in physical activity is crucial, along with efforts to promote the attainment of moderate PAL levels.
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