The Interaction Between Self-Reported Sleep Duration and Physical Activity on Peripheral Artery Disease in Chinese Adults: A Cross-Sectional Analysis in the Tianning Cohort Study

Abstract

Purpose

Sleep duration was associated with large artery atherosclerosis, but its association with atherosclerosis in lower extremity arteries was not well studied. Together with sleep, physical activity constitutes main component of our daily life and influences sleep. Here, we aimed to examine the independent and joint associations of sleep duration and physical activity with peripheral artery disease (PAD) in Chinese adults.

Patients and Methods

In Tianning cohort, night-time sleep duration and physical activity were assessed by the Pittsburgh Sleep Quality Index and the Global Physical Activity Questionnaire, respectively, for 5130 participants (51.0±15.6 years, 58.7% female). PAD was defined as ankle-brachial index (ABI) <0.9. General linear, and logistic regression models were used to assess the associations of sleep duration and physical activity with PAD. The biological interaction between sleep duration and physical activity on PAD was examined using additive model.

Results

Compared to participants sleeping 6–8.9 h, those sleeping ≥9 h had a 0.02 lower ABI (β=−0.02, P=0.007) and 38% higher odds of PAD (OR=1.38, P=0.035). Compared to physically active participants sleeping 6–8.9 h, among ≥9 h group, physically inactive individuals had significantly increased odds of PAD (OR=2.40, P<0.001), whereas physically active individuals did not (OR=1.15, P=0.472). On additive scale, attributable proportion due to interaction (0.40, 95% CI: 0.07, 0.73) indicated a significant interaction between sleep duration and physical activity on PAD.

Conclusion

Being physically active may attenuate the detrimental association between prolonged sleep duration and PAD. Moreover, we found a significant interaction between prolonged sleep duration and physical inactivity in the prevalence of PAD.

Introduction

Peripheral artery disease (PAD), characterized by atherosclerotic obstruction of the arteries in the lower extremities,¹ is not only a major cardiovascular disease (CVD) but also significantly linked to higher morbidity and mortality of other cardiovascular diseases, representing a considerable public health concern.^2,3 Decades of efforts have been made regarding its most significant risk factors including obesity, dyslipidemia, hypertension, diabetes, smoking, and chronic kidney disease (CKD),⁴ but the prevalence and incidence of PAD continues to be increasing all over the world including China.^5,6 This phenomenon reminds us that some unknown contributors of PAD may be ignored. Sleep is an essential physiological process that protects our physical and mental health,⁷ and its disruption increases the risks of series of adverse health outcomes,^8–11 including CVD, through affecting a wide range of physiological processes, eg, glucose metabolism, oxidative stress, and endothelial function,^12–15 all of which are also involved in the progression of atherosclerosis and PAD.^16,17 Indeed, short and long sleep duration was found to be associated with coronary artery calcium^18–20 and carotid intima-media thickness,^21,22 which are indicators of atherosclerosis in large arteries feeding heart and brain. Nonetheless, as a typical atherosclerotic marker mainly in lower extremity arteries, ankle-brachial index (ABI), which is commonly used to diagnose PAD,²³ has been poorly studied in association with sleep duration. To date, the association between sleep duration and PAD was only examined by the Multi-Ethnic Study of Atherosclerosis (MESA) which mainly included Caucasian, African, Hispanic, and a small part of Chinese populations.²⁴ It’s uncertain whether this result could be generalized to Chinese, who have different genetic background and cardiovascular risk profiles.²⁵ Therefore, one of the objectives in our study was to examine the association between sleep duration and PAD in an unselected population of Chinese adults.

In addition to sleep, physical activity including occupation, transportation, recreation, and sedentary behavior constitutes another main component of our daily life and is linked to sleep duration. Previous studies reported long sleep duration was related to a low physical activity.^26,27 Several clinical trials revealed that short sleep duration increased physical activities.^28,29 Many studies have verified physical activity remained an inverse association with PAD,^30–32 nonetheless there was limited research about this subject in Chinese population. What’s more, no study, to our knowledge, has examined the interaction of sleep duration and physical activity on the likelihood of PAD. As such, we aimed to examine the independent and joint associations of sleep duration and physical activity with PAD. We hypothesized improper sleep duration and physical inactivity were associated with PAD respectively, and there was an interaction of improper sleep duration and physical inactivity in PAD.

Materials and Methods

Study Participants

The Tianning Cohort is a community-based prospective cohort study which was designed to search for new risk factors and potential therapeutic targets of CVD in Chinese adults. The study design, survey methods, and participants recruitment was approved by the Ethics Committee of Soochow University (approval No. ECSU-201800051) and have been detailed elsewhere.³³ This study was conducted in accordance with the Declaration of Helsinki. Participants aged over 18 years were recruited from 9 randomly selected communities in a traditional but economically developed district Tianning, in the center of Changzhou, China. The methods of participants’ recruitment applied in our study were easy to be followed and might relatively reduce the selection bias. After signing a written informed consent, a total of 5199 participants received a face-to-face interview, physical examination, and collection of blood and urine samples between May and November 2018. Of them, participants with missing data on either ABI (n=14) or sleep duration (n=8) were excluded. Participants with an ABI >1.40 were also excluded (n=47) because such condition suggests stiff arteries which prevent applicable blood pressure measurements. A total of 5130 participants were included in the final analysis.

Measurement of ABI and Definition of PAD

Blood pressures of bilateral arm and ankle were measured simultaneously by a four-cuff automated oscillometric device AS-2000 (Hong Kong Biomedical Holdings LTD., Hong Kong, China). After the participants rested for at least 5 minutes in a supine position, the blood pressure measurements were taken twice by study staff who had been centrally trained and certified. The means of the two measurements for each leg and arm were used to calculate the ABI, and the lower value of the two ABIs was used to assess PAD. According to the recommendations of the American Heart Association,²³ PAD was defined as an ABI <0.9.

Assessment of Sleep Duration

Sleep duration was assessed by the following question in Pittsburgh Sleep Quality Index (PSQI),³⁴ “During the past month, how many hours of actual sleep did you get at night? (This may be different than the number of hours you spent in bed)”. PSQI was a widely-used and effective self-report questionnaire for assessing sleep quality. PSQI-reported sleep duration was found similar to the objectively measured value in prior studies.^35,36 Consistent with the preceding studies,^10,37,38 night-time sleep duration was categorized as three groups, <6 h, 6–8.9 h, ≥9 h. Poor sleep quality was defined by ≥5 according to recommendation.³⁹

Assessment of Physical Activity

Physical activity was determined by the Global Physical Activity Questionnaire (GPAQ), which was established by the World Health Organization (WHO) to monitor physical activity in developing countries.⁴⁰ It collects information about physical activity related to work, transportation, recreational activities, and sedentary behavior. According to the GPAQ analysis guidance by WHO,⁴¹ participants with a MET-min/week <600 were considered as physically inactive.

Collection of Risk Factors of PAD

The methods of data collection have been detailed previously.³³ In brief, data on education level (years of education), cigarette smoking (current smoking or not), alcohol consumption (current drinking or not) and histories of chronic diseases (including cardiometabolic diseases and obstructive sleep apnea syndrome) were assessed through face-to-face interview by trained staff. The histories of diseases were collected by asking “Has any physician or other medical staff told you that you had certain disease?”. Depressive symptom was assessed by the total score of the Center for Epidemiologic Studies Depression Scale (CES-D), a widely-used questionnaire in large epidemiological studies.⁴² Physical examinations including body mass index (BMI), systolic (SBP) and diastolic blood pressure (DBP) were performed by trained staff according to standard protocols. Glucose metabolism indicators including fasting plasma glucose and HbA1c, blood lipids including low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and triglyceride (TG) were measured using commercial reagents (Siemens Healthcare Diagnostic Inc., Co Antrim, UK) at the Key Laboratory of Geriatric Disease Prevention and Translational Medicine of Jiangsu Province. The laboratory staff was unaware of the health status of study participants. Diabetes mellitus was defined by (1) fasting plasma glucose ≥7.0 mmol/L; or 2) HbA1c ≥6.5%; or 3) a self-reported physician diagnosis.^43,44 Hypertension was defined as meeting any following requirement, (1) SBP ≥ 140 mmHg; or 2) DBP ≥ 90 mmHg; or 3) a self-reported physician diagnosis.⁴⁵

Statistical Analysis

Baseline characteristics of participants were presented according to sleep duration levels (<6 h, 6–8.9 h, ≥9 h). Statistical analysis was performed using SPSS 26.0 software (SPSS Inc., Chicago, IL, USA). A two-tailed P value <0.05 was considered statistically significant.

Analysis on the Associations of Sleep Duration and Physical Activity with ABI or PAD

To examine the independent association of sleep duration and physical activity with ABI, we constructed a linear regression model where ABI was the dependent variable and night-time sleep duration levels/physical activity were/was the independent variable, adjusting for age, sex, education level, depressive symptom, obstructive sleep apnea syndrome, cigarette smoking, alcohol consumption, BMI, SBP, DBP, diabetes mellitus, TC, LDL-C. To facilitate data interpretation, we similarly constructed a Logistic regression model with the presence of PAD (y/n) as the dependent variable to examine whether sleep duration and physical activity were associated with PAD separately. What’s more, we divided the data into two parts according to sex, and repeated the above analysis.

Interaction Analysis

The joint association of sleep duration and physical activity on PAD was examined based on 6 combinations of sleep duration (categorical as <6 h, 6–8.9 h, ≥9 h) and physical activity (categorical as active vs inactive) in a Logistic model, where physically active participants with sleep duration of 6–8.9 h served as a reference. Furthermore, participants were classified into four groups: participants with either prolonged sleep duration (≥9 h) or physical inactivity (MET-min/week <600), participants with and without both. For the interaction analysis, we constructed a Logistic model setting the above 4 groups as independent variable and PAD as dependent variable. Individuals without prolonged sleep duration and physical inactivity had the lowest prevalence of PAD, therefore were designated as reference group. We applied 3 indexes including the relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (S) to test the significance level of interaction.^46,47 If there was no interaction, the 95% confidence intervals (CI) of RERI and AP included 0, and the 95% CI of S included 1. The three indexes and their 95% CIs were calculated by R package “epiR”.

Sensitivity Analysis

To examine whether prevalent CVD and CKD influence the results, participants with these disease histories were excluded.

Results

Baseline Characteristics of Study Participants

The current study included 5130 participants (mean age: 51.0±15.6 years, 58.7% women). Among them, 531 participants (10.4%) were suffering from PAD. Their baseline characteristics were shown in Table 1. Participants with prolonged sleep duration (≥9 h) were more likely to be physically inactive, have obstructive sleep apnea syndrome and lower levels of HDL-C and ABI than 6–8.9 h (all P<0.05). Participants with sleep duration of <6 h tended to be older and have higher level of blood lipids, depressive symptoms, and ABI than 6–8.9 h (all P<0.05).

Table 1.

Baseline Characteristics of Participants in Tianning Cohort According to Night-Time Sleep Duration (N=5130)

Characteristics	Sleep Duration (h/Night)			P value
	<6	6–8.9	≥9
No. of participants	358	4319	453	–
Sex, men (%)	141 (39.4)	1772 (41.0)	207 (45.7)	0.118
Age, years	55.7 ± 14.3†	50.7 ± 15.4	50.2 ± 18.5*	<0.001
Education level, years, median (IQR)	9 (8–12)†	11 (9–14)	9 (9–12)	<0.001
Cigarette smoking, n (%)	64 (17.9)	857 (19.8)	98 (21.6)	0.411
Alcohol consumption, n (%)	68 (19.0)	798 (18.5)	86 (19.0)	0.943
Body mass index, kg/m2	24.01 ± 3.91	24.08 ± 3.60	23.78 ± 3.80	0.232
Systolic blood pressure, mmHg	125.6 ± 16.5	124.0 ± 16.7	124.8 ±18.6	0.180
Diastolic blood pressure, mmHg	76.7 ± 10.4	76.7 ± 11.2	77.1 ± 10.4	0.798
Hypertension, n (%)	161 (45.0)	1686 (39.2)	190 (42.0)	0.060
Obstructive sleep apnea syndrome, n (%)	2 (0.6)	29 (0.7)	8 (1.8)†	0.048
Diabetes mellitus, n (%)	61 (17.0)	662 (15.4)	59 (13.1)	0.291
Total cholesterol, mmol/L	4.94 ± 0.93†	4.80 ± 0.94	4.72 ± 0.89*	0.003
Triglyceride, mmol/L	1.79 ± 1.22	1.77 ± 1.26	1.76 ± 1.10	0.922
LDL-C, mmol/L	2.82 ± 0.80	2.75 ± 0.79	2.74 ± 0.78	0.256
HDL-C, mmol/L	1.23 ± 0.32†	1.22 ± 0.31	1.18 ± 0.28*†	0.013
Depressive symptom, points, median (IQR)	1 (0–12)†	0 (0–5)	0 (0–5)*	<0.001
Physically active, n (%)	285 (79.6)	3236 (74.9)	310 (68.4)*†	0.001
Ankle branchial index	1.09 ± 0.13†	1.08 ± 0.15	1.06 ± 0.17*†	0.003
Peripheral artery disease, n (%)	31 (8.7)	438 (10.1)	62 (13.7)	0.034

Notes: ^†P<0.05 compared with participants with a sleep duration of 6–8.9 hours. *P<0.05 compared with participants with a sleep duration of <6 hours. Results presented as mean ± standard deviation, unless otherwise noted. Bolding represented P<0.05.

Abbreviations: LDL-C, low density lipoprotein cholesterol; HDL-C, high density lipoprotein cholesterol; IQR, interquartile range.

Associations Between Sleep Duration and Physical Activity with ABI or PAD

As demonstrated in Tables 2 and 3, compared to participants sleeping 6–8.9 h, those sleeping ≥9 h had a 0.02 lower ABI (β=−0.02, P=0.007) and 38% higher odds of PAD (OR=1.38, P=0.035), adjusting for age, sex, education level, depressive symptom, obstructive sleep apnea syndrome, physical activity, cigarette smoking, alcohol consumption, BMI, SBP, DBP, diabetes mellitus, TC, LDL-C. For men, sleep duration was not associated with ABI or PAD, on the contrary, women sleeping ≥9 h had a 0.02 lower ABI (β=−0.02, P=0.041) and 51% higher odds of PAD (OR=1.51, P=0.041) compared to participants sleeping 6–8.9 h.

Table 2.

The Multivariate Adjusted Associations of Sleep Duration and Physical Activity with ABI

Variables	Overall			Men		Women
	Mean ± SD	β (SE)a	P value	β (SE)a	P value	β (SE)a	P value
Sleep duration (h/night)
<6	1.09 ± 0.13	0.01 (0.01)	0.433	0.00 (0.01)	0.957	0.01 (0.01)	0.338
6–8.9	1.08 ± 0.15	Ref	–	Ref	–	Ref	–
≥9	1.06 ± 0.17	−0.02 (0.01)	0.007	−0.02 (0.01)	0.122	−0.02 (0.01)	0.041
Physical activity
Active	1.08 ± 0.15	Ref	–	Ref	–	Ref	–
Inactive	1.06 ± 0.16	−0.02 (0.01)	<0.001	−0.03 (0.01)	0.001	−0.02 (0.01)	0.001

Notes: ^aAdjusted for age, sex, education level, depressive symptom, obstructive sleep apnea syndrome, cigarette smoking, alcohol consumption, body mass index, systolic blood pressure, diastolic blood pressure, diabetes mellitus, total cholesterol, low-density lipoprotein cholesterol. Bolding represented P<0.05.

Abbreviations: ABI, ankle-brachial index; PAD, peripheral artery disease.

Table 3.

The Multivariate Adjusted Associations of Sleep Duration and Physical Activity with PAD

Variables	Overall			Men		Women
	N (%)	OR (95% CI)a	P value	OR (95% CI)a	P value	OR (95% CI)a	P value
Sleep duration (h/night)
<6	31 (8.7)	0.87 (0.58, 1.30)	0.535	0.75 (0.38, 1.46)	0.398	0.98 (0.58, 1.63)	0.921
6–8.9	438 (10.1)	Ref	–	Ref	–	Ref	–
≥9	62 (13.7)	1.38 (1.02, 1.85)	0.035	1.22 (0.78, 1.92)	0.385	1.51 (1.02, 2.24)	0.041
Physical activity
Active	365 (9.5)	Ref	–	Ref	–	Ref	–
Inactive	166 (12.8)	1.36 (1.11, 1.67)	0.003	1.47 (1.08, 2.02)	0.016	1.29 (0.99, 1.68)	0.062

Notes: ^aAdjusted for age, sex, education level, depressive symptom, obstructive sleep apnea syndrome, cigarette smoking, alcohol consumption, body mass index, systolic blood pressure, diastolic blood pressure, diabetes mellitus, total cholesterol, low-density lipoprotein cholesterol. Bolding represented P<0.05.

Abbreviations: ABI, ankle-brachial index; PAD, peripheral artery disease.

As shown in Tables 2 and 3, compared to physically active participants, physically inactive participants had a 0.02 lower ABI (β=−0.02, P<0.001) and 36% higher odds of PAD (OR=1.36, P=0.003), adjusting for covariates. Either for men (β=−0.03, P=0.001) or women (β=−0.02, P=0.001), physical inactivity was associated with lower ABI. For both genders, physical inactivity was related with higher prevalence of PAD, however, the association in women was not statistically significant.

Additionally, we did the analysis of sleep quality and multi-dimensional sleep disorders offered by Pittsburgh questionnaire with ABI or PAD, however, most of data was unsignificant. We included this analysis in Supplementary Tables (Table S1).

Interaction of Sleep Duration and Physical Activity on the Prevalence of PAD

Compared to physically active participants sleeping 6–8.9 h, among ≥9 h group, physically inactive individuals had significantly increased odds of PAD (OR=2.40, P<0.001), whereas physically active individuals did not (OR=1.15, P=0.472) (Figure 1). We further examined the interaction between prolonged sleep duration and physical inactivity on PAD. As shown in Table 4, among participants in 4 different combinations, PAD was the most common in participants with both prolonged sleep duration and physical inactivity with a prevalence of 18.9%. Similarly, after adjustment for covariates, the OR (2.41, P<0.001) was much higher for participants with both prolonged sleep duration and physical inactivity than participants with prolonged sleep duration only (OR=1.16, P=0.450) and participants with physical inactivity only (OR=1.29, P=0.022). On additive scale, AP (0.40, 95% CI: 0.07, 0.73) was found significant, and it indicated there was about 40% of the higher prevalence of PAD in participants with prolonged sleep duration and physical inactivity attributed to the interaction between sleep duration and physical activity (Table 4). On multiplicative scale, the results did not indicate a significant interaction.

Figure 1.

The joint association of sleep duration and physical activity on PAD. ORs and 95% CIs of PAD were calculated setting physically active participants with 6–8.9 hours/night of sleep duration as the reference, adjusting age, sex, education level, depressive symptom, obstructive sleep apnea syndrome, cigarette smoking, alcohol consumption, body mass index, systolic blood pressure, diastolic blood pressure, diabetes mellitus, total cholesterol, low-density lipoprotein cholesterol.

Table 4.

The Interaction Between Sleep Duration and Physical Activity in the Prevalence of PAD

Prolonged Sleep Duration	Physical Inactivity
	(−)		(+)
	N with PAD (%)	OR (95% CI); P	N with PAD (%)	OR (95% CI); P
(−)	330 (9.4)	Ref	139 (12.0)	1.29 (1.04, 1.60); P=0.022
(+)	35 (11.3)	1.16 (0.79, 1.71); P=0.450	27 (18.9)	2.41 (1.55, 3.76); P<0.001

Notes: Measure of interaction on additive scale: RERI (95% CI) =0.96 (−0.18, 2.11); AP (95% CI) =0.40 (0.07, 0.73); S (95% CI) =3.14 (0.79, 12.46). Measure of interaction on multiplicative scale: OR (95% CI) =1.50 (0.83, 2.71). ORs were adjusted for age, sex, education level, depressive symptom, obstructive sleep apnea syndrome, cigarette smoking, alcohol consumption, body mass index, systolic blood pressure, diastolic blood pressure, diabetes mellitus, total cholesterol, low-density lipoprotein cholesterol. Bolding represented P<0.05.

Abbreviation: PAD, peripheral artery disease.

Sensitivity Analysis

After excluding participants with CVD and CKD (N=313), the association of sleep duration and physical activity with PAD did not change (Table S2). Besides, the results of interaction between sleep duration and physical activity on PAD kept in line with those before (Table S3).

Discussion

In this large-scale community-based study including over 5000 Chinese adults, we found prolonged sleep duration (≥9 h) and physical inactivity (MET-min/week <600) were independently and significantly associated with higher prevalence of PAD. However, prolonged sleep duration was related with ABI or PAD only in women. Further, being physically active may attenuate the detrimental association between prolonged sleep duration and PAD, and there was a significant interaction between prolonged sleep duration and physical inactivity in the prevalence of PAD. Our results suggest that, for individuals with prolonged sleep duration, being physically active might reduce the lesion in lower extremity artery. Our study also highlights the importance of both reasonable sleep duration and being physically active for PAD in the clinical and preventive medicine domains.

In our study, the mean of sleep duration was 7.2 hours per night. Similarly, a community-based study reported the mean sleep duration of 7.9 hours per night in different geographical regions of China.⁴⁸ Together with our study, MESA reported long sleep duration (>8 h) was related with increased odds of PAD.²⁴ A meta-analysis involving 5,134,036 participants from prospective cohort studies found a significant linear association between longer sleep duration and incident cardiovascular disease.⁴⁹ Our findings support a growing body of evidence that prolonged sleep duration was associated with higher odds of atherosclerosis and CVD. Nonetheless, different from our findings, a study indicated very short sleep duration (<6 h) was associated with a higher atherosclerotic burden in the carotid and femoral arteries.⁷ Another study found short sleep duration (<6 h) was associated with the presence of coronary calcium (coronary calcium score>0).⁵⁰ We did not observe a significant association between short sleep duration and PAD in our study. This phenomenon may due to different study populations and objectives.

Further, sex difference was found in the association of sleep duration with ABI or PAD. Consistently, a study found long sleep duration was related with higher atherosclerotic burden specifically in women.⁷ As for the association between sleep duration and arterial stiffness, the conclusions were ambiguous, one study only for men,³⁸ another only for women.⁵¹ Little was known about the optimal sleep duration for both gender, and more studies were warranted to investigate the underlying mechanism.⁵²

In addition to sleep, physical activity makes up another major part in our daily life and is related to sleep duration. Consistent with the findings mentioned in the introduction, our results showed participants sleeping ≥9 h were more likely to be physically inactive than 6–8.9 h in the baseline analysis. Same as previous studies,^30–32 our results revealed that being physically active was related with lower ABI and higher odds of PAD. However, the present study was based on a cross-sectional design, therefore, we were unable to clarify the directions of above associations. To be detailed, we could not confirm whether prolonged sleep duration and physical inactivity were causes or symptoms of PAD.

Moreover, we found physical activity might mitigate the association between prolonged sleep duration and higher odds of PAD. As mentioned earlier, the joint association of sleep duration and physical activity with PAD has not been reported before. However, in alignment with our findings, some evidences have indicated physical activity may attenuate the adverse relations between improper sleep durations and several cardiometabolic factors. For example, a British study revealed higher physical activity may attenuate the detrimental associations of unreasonable sleep duration (<7 h or >9 h) with BMI, blood lipids, hypertension, and diabetes.⁵³ Another 15-year follow-up cohort study including 341,248 Chinese demonstrated being physically active (MET-min/week ≥900) could eliminate the risk of CVD mortality in long sleep duration (>8 h) group.⁵⁴ Moreover, our study supported a significant interaction between prolonged sleep duration and physical inactivity in the prevalence of PAD. Similarly, a cross-sectional study demonstrated a joint association of short sleep duration (≤7h) and low physical activity with insulin resistance among non-diabetic Chinese adults.⁵⁵ Another longitudinal Chinese study revealed participants with poor sleep (sleeping <7 h or >9h) and low physical activity had the highest multimorbidity of chronic diseases compared to other combinations.⁵⁶

CVD and CKD kept a close relationship with PAD, and individuals with CVD or CKD might experience longer sleep duration than the normal.^57,58 Therefore, we did a sensitivity analysis to see whether participants with a history of CVD or CKD affect the results. Finally, we found excluding participants with CVD and CKD did not change previous results. The results indicated that the independent and joint associations of sleep duration and physical activity with PAD were not driven by a history of CVD and CKD. The sensitivity analysis revealed our results were robust and credible.

The underlying mechanism linking prolonged sleep duration to PAD was not clear.^18,24 He et al⁵⁹ reported long but not short sleep duration was independently associated with elevated high-sensitivity C-reactive protein levels. Physical inactivity³⁰ was associated with inflammation responses,^60,61 endothelial function,⁶² oxidative stress.⁶³ These above pathologic processes were involved in the progression of PAD.^16,17 Additionally, both prolonged sleep duration⁹ and physical inactivity^64–66 were found to be positively associated with obesity, diabetes, and hypertension, all of which were risk factors of PAD. The above mechanisms explained the associations of prolonged sleep duration and physical inactivity with PAD.

To the best of our knowledge, our study was the first to verify the association of sleep duration or physical activity with PAD in Chinese, and to examine the interaction between sleep duration and physical activity in PAD. The strengths of this study included a relatively large sample size, comprehensive adjustment for conventional risk factors, and careful analysis of the interaction between sleep duration and physical activity in PAD. However, some limitations should be acknowledged in our study. First, only cross-sectional data was included, as such the casual relationship of sleep duration and physical activity with PAD was not elucidated. Second, although we used unselected sample, the population in the Tianning Cohort was the Han nationality and could not represent other ethnic/racial populations. Additionally, only self-reported questionnaires were used to assess sleep duration and physical activity, therefore misclassification and recall bias might exist and influence the results. Thus, the generalizability of our results should be taken cautiously.

Conclusion

In summary, we found being physically active may attenuate the detrimental association between prolonged sleep duration and PAD. Moreover, the results indicated a significant interaction between prolonged sleep duration and physical inactivity in the prevalence of PAD. Prospective studies and randomized clinical trials are warranted to examine the casual relationship of sleep duration and physical activity with PAD and the interaction of sleep duration and physical activity in cardiovascular health.

Funding Statement

This work has been funded by the National Natural Science Foundation of China (NO. 81903384 and 81872690), the Natural Science Foundation of Jiangsu Province (NO. BK20180841), the Suzhou Municipal Science and Technology Bureau (NO. SS201853 and SYS2020091), a Project of the Priority Academic Program Development of Jiangsu Higher Education Institutions, and the Science and Technology Project of Xinjiang Production and Construction Corps (NO. 2021AB030). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Abbreviations

PAD, peripheral artery disease; CVD, cardiovascular disease; CKD, chronic kidney disease; ABI, ankle-brachial index; MESA, the Multi-Ethnic Study of Atherosclerosis; PSQI, Pittsburgh Sleep Quality Index; GPAQ, Global Physical Activity Questionnaire; MET, metabolic equivalent; WHO, World Health Organization; CES-D, the Center for Epidemiologic Studies Depression Scale; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; TC, total cholesterol; TG triglyceride.

Data Sharing Statement

The data are available on request from the corresponding author at penghao@suda.edu.cn.

Disclosure

The authors report no conflicts of interest in this work.