Skip to content

Short-term Cardiovascular Benefits of Wearing Particulate-filtering Respirators

Short-term Cardiovascular Benefits of Wearing Particulate-filtering Respirators: a Randomized Controlled Crossover Trial Among Healthy Young Adults

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02238028
Enrollment
28
Registered
2014-09-12
Start date
2014-03-31
Completion date
2014-12-31
Last updated
2016-05-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Autonomic Nervous System Imbalance, Blood Coagulation Disorders, Blood Pressure, Inflammation, Vasoconstriction

Keywords

Heart rate variability, Blood pressure, Circulating biomarkers, Respirator, Fine particulate matter

Brief summary

An intervention study to assess the short-term cardiovascular effects of reducing personal air pollution exposure by wearing particulate filtering respirators.

Detailed description

A group of healthy adult college students fulfilling the recruitment criteria were randomly divided into two sub-groups. One sub-group weared the particulate filtering respirators for 2 continuous days during which the respirator was required to wear as much as possible both indoor and outdoor. The other group acted as normal at the same time. The measurements on health effects including heart rate varibility, blood pressure, circulating biomarkers as well as the ambient air pollution were performed in both groups during the intervention period. After a 3-week rest period,the two groups interchanged their roles of wearing the respirator or not. The same measurements of both health effects indicators and ambient air pollution were repeated.

Interventions

BEHAVIORALWear respirator

Healthy adult subjects wore the particulate filtering respirators for continuous 48 hours as much as possible both indoor and outdoor.

Sponsors

Fudan University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
PREVENTION
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 35 Years
Healthy volunteers
Yes

Inclusion criteria

* Equal to or older than 18 years old, * No history of smoking and alcohol addiction. * No chronic diseases,such as hypertension,diabetes,chronic obstructive pulmonary disease or other respiratory/cardiovascular diseases reported by volunteers. * No respiratory or allergic diseases, like asthma, rhinitis,or other allergic diseases.

Exclusion criteria

* Current smokers * Chronic drug use due on cardiovascular or respiratory diseases

Design outcomes

Primary

MeasureTime frameDescription
Heart Rate Variability-LF Power,HF Power,VLF Powerup to 24 hoursHRV is a quantitative health marker reflecting how the autonomic nervous system modulates the sinoatrial node in the heart and HRV has therefore been widely used to estimate cardiac autonomic function and control. Subjects were attached with Holter monitor on the 2nd day in each of the 48-hr intervention period.A total of 8 parameters of HRV were analyzed including 4 time-domain indices and 4 frequency-domain indices. Frequency domain methods assign bands of frequency and then count the number of NN intervals that match each band. The bands are typically high frequency (HF) from 0.15 to 0.4 Hz, low frequency (LF) from 0.04 to 0.15 Hz, and the very low frequency (VLF) from 0.0033 to 0.04 Hz. Parasympathetic activity is a major contributor to the HF component. More problematic is the interpretation of the LF component, which was considered by some as a marker of sympathetic modulation but is now known to include both sympathetic and vagal influences.
Blood Pressureup to 24 hoursThe blood pressure were measured by automatic blood pressure monitor during the intervention study.
Heart Rate Variability-SDNN,SDANN, rMSSDUp to 24 hoursHRV is a quantitative health marker reflecting how the autonomic nervous system modulates the sinoatrial node in the heart and HRV has therefore been widely used to estimate cardiac autonomic function and control.A total of 8 parameters of HRV were analyzed including 4 time-domain indices and 4 frequency-domain indices. Subjects were attached with Holter monitor on the 2nd day in each of the 48-hr intervention period. Heart rate and heart automatic function indices including the standard deviation of the normal-to-normal interval(SDNN),the standard deviation of the average NN intervals calculated over short periods(SDANN), the root mean square of the successive differences(rMSSD) were automatically recorded during the intervention.
Heart Rate Variability-LF/HFUp to 24 hoursHRV is a quantitative health marker reflecting how the autonomic nervous system modulates the sinoatrial node in the heart and HRV has therefore been widely used to estimate cardiac autonomic function and control. Subjects were attached with Holter monitor on the 2nd day in each of the 48-hr intervention period.A total of 8 parameters of HRV were analyzed including 4 time-domain indices and 4 frequency-domain indices. Frequency domain methods assign bands of frequency and then count the number of NN intervals that match each band. The bands are typically high frequency (HF) from 0.15 to 0.4 Hz, low frequency (LF) from 0.04 to 0.15 Hz. Parasympathetic activity is a major contributor to the HF component. More problematic is the interpretation of the LF component, which was considered by some as a marker of sympathetic modulation but is now known to include both sympathetic and vagal influences.
Heart Rate Variability-pNN50Up to 24 hoursHRV is a quantitative health marker reflecting how the autonomic nervous system modulates the sinoatrial node in the heart and HRV has therefore been widely used to estimate cardiac autonomic function and control.A total of 8 parameters of HRV were analyzed including 4 time-domain indices and 4 frequency-domain indices. Subjects were attached with Holter monitor on the 2nd day in each of the 48-hr intervention period. Heart rate and heart automatic function indices including the proportion of successive normal NN intervals differing by more than 50 ms in the total number of NNs(pNN50) were automatically recorded during the intervention.
Circulating Biomarkers--Fibrinogen,vWFUp to 24 hoursAt the end of each intervention, participants were asked to rest in a quiet room for half an hour. Peripheral venous blood samples were collected and centrifuged immediately. The serum were collected and stored at -80℃ within 30 minutes to minimize the in-vitro changes in biomarker proteins. Fibrinogen and von Willebrand factor(vWF) were measured by using the Millipore MILLIPLEX MAP human cytokine/chemokine kit (Millipore Corp., Billerica, Massachusetts)
Circulating Biomarkers--P- Selectin,VCAM-1Up to 24 hoursAt the end of each intervention, participants were asked to rest in a quiet room for half an hour. Peripheral venous blood samples were collected and centrifuged immediately. The serum were collected and stored at -80℃ within 30 minutes to minimize the in-vitro changes in biomarker proteins. P- selectin,VCAM-1(vascular cell adhesion molecule-1) were measured by using the Millipore MILLIPLEX MAP human cytokine/chemokine kit (Millipore Corp., Billerica, Massachusetts)
Circulating Biomarkers--ET-1Up to 24 hoursAt the end of each intervention, participants were asked to rest in a quiet room for half an hour. Peripheral venous blood samples were collected and centrifuged immediately. The serum were collected and stored at -80℃ within 30 minutes to minimize the in-vitro changes in biomarker proteins. Endothelin-1(ET-1) was using enzyme-linked immunosorbent assays.

Countries

China

Participant flow

Participants by arm

ArmCount
All Study Participants
The recruited healthy subjects were randomly allocated into two groups. In the first intervention period, this group wore respirator for 2 continuous days including a 2-hour walking along the streets on the 2nd day along a fixed route. After a 2-week rest period, the 2nd intervention period started and they changed to not wearing the respirator but participated all the measurements of health indicators and ambient air pollution for 2 continuous days including the 2-hour walking along the streets on the 2nd day along the same fixed route. The same protocol on the measurements of health indicators and ambient air pollution was applied in the 1st intervention and 2nd intervention period. Wear respirator: Healthy adult subjects wore the particulate filtering respirators for continuous 48 hours as much as possible both indoor and outdoor.
24
Total24

Baseline characteristics

CharacteristicAll Study Participants
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
0 Participants
Age, Categorical
Between 18 and 65 years
24 Participants
Age, Continuous23 years
STANDARD_DEVIATION 2
BMI22 kg/m^2
STANDARD_DEVIATION 4
diastolic pressure70 mmHg
STANDARD_DEVIATION 5
Region of Enrollment
China
24 participants
Sex: Female, Male
Female
11 Participants
Sex: Female, Male
Male
13 Participants
systolic pressure108 mmHg
STANDARD_DEVIATION 8

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
— / —— / —
other
Total, other adverse events
0 / 240 / 24
serious
Total, serious adverse events
0 / 240 / 24

Outcome results

Primary

Blood Pressure

The blood pressure were measured by automatic blood pressure monitor during the intervention study.

Time frame: up to 24 hours

ArmMeasureGroupValue (MEAN)Dispersion
Wear RespiratorBlood Pressuresystolic blood pressure107.3 mmHgStandard Deviation 8
Wear RespiratorBlood Pressurediastolic blood pressure70.0 mmHgStandard Deviation 5
Not Wear RespiratorBlood Pressuresystolic blood pressure109.0 mmHgStandard Deviation 7.4
Not Wear RespiratorBlood Pressurediastolic blood pressure70.8 mmHgStandard Deviation 4.8
p-value: <0.05Paired t-test,2 sided
Primary

Circulating Biomarkers--ET-1

At the end of each intervention, participants were asked to rest in a quiet room for half an hour. Peripheral venous blood samples were collected and centrifuged immediately. The serum were collected and stored at -80℃ within 30 minutes to minimize the in-vitro changes in biomarker proteins. Endothelin-1(ET-1) was using enzyme-linked immunosorbent assays.

Time frame: Up to 24 hours

ArmMeasureValue (GEOMETRIC_MEAN)Dispersion
Wear RespiratorCirculating Biomarkers--ET-1109.9 pg/mlStandard Deviation 1.6
Not Wear RespiratorCirculating Biomarkers--ET-1121.5 pg/mlStandard Deviation 1.6
Primary

Circulating Biomarkers--Fibrinogen,vWF

At the end of each intervention, participants were asked to rest in a quiet room for half an hour. Peripheral venous blood samples were collected and centrifuged immediately. The serum were collected and stored at -80℃ within 30 minutes to minimize the in-vitro changes in biomarker proteins. Fibrinogen and von Willebrand factor(vWF) were measured by using the Millipore MILLIPLEX MAP human cytokine/chemokine kit (Millipore Corp., Billerica, Massachusetts)

Time frame: Up to 24 hours

ArmMeasureGroupValue (GEOMETRIC_MEAN)Dispersion
Wear RespiratorCirculating Biomarkers--Fibrinogen,vWFFibrinogen2.5 µg/mlStandard Deviation 1.3
Wear RespiratorCirculating Biomarkers--Fibrinogen,vWFvWF24.5 µg/mlStandard Deviation 1.3
Not Wear RespiratorCirculating Biomarkers--Fibrinogen,vWFFibrinogen2.5 µg/mlStandard Deviation 1.3
Not Wear RespiratorCirculating Biomarkers--Fibrinogen,vWFvWF27.1 µg/mlStandard Deviation 1.3
Primary

Circulating Biomarkers--P- Selectin,VCAM-1

At the end of each intervention, participants were asked to rest in a quiet room for half an hour. Peripheral venous blood samples were collected and centrifuged immediately. The serum were collected and stored at -80℃ within 30 minutes to minimize the in-vitro changes in biomarker proteins. P- selectin,VCAM-1(vascular cell adhesion molecule-1) were measured by using the Millipore MILLIPLEX MAP human cytokine/chemokine kit (Millipore Corp., Billerica, Massachusetts)

Time frame: Up to 24 hours

ArmMeasureGroupValue (GEOMETRIC_MEAN)Dispersion
Wear RespiratorCirculating Biomarkers--P- Selectin,VCAM-1P-selectin164.0 ng/mlStandard Deviation 2
Wear RespiratorCirculating Biomarkers--P- Selectin,VCAM-1VCAM-11480.3 ng/mlStandard Deviation 1.5
Not Wear RespiratorCirculating Biomarkers--P- Selectin,VCAM-1P-selectin200.3 ng/mlStandard Deviation 1.5
Not Wear RespiratorCirculating Biomarkers--P- Selectin,VCAM-1VCAM-11808.0 ng/mlStandard Deviation 1.6
Primary

Heart Rate Variability-LF/HF

HRV is a quantitative health marker reflecting how the autonomic nervous system modulates the sinoatrial node in the heart and HRV has therefore been widely used to estimate cardiac autonomic function and control. Subjects were attached with Holter monitor on the 2nd day in each of the 48-hr intervention period.A total of 8 parameters of HRV were analyzed including 4 time-domain indices and 4 frequency-domain indices. Frequency domain methods assign bands of frequency and then count the number of NN intervals that match each band. The bands are typically high frequency (HF) from 0.15 to 0.4 Hz, low frequency (LF) from 0.04 to 0.15 Hz. Parasympathetic activity is a major contributor to the HF component. More problematic is the interpretation of the LF component, which was considered by some as a marker of sympathetic modulation but is now known to include both sympathetic and vagal influences.

Time frame: Up to 24 hours

ArmMeasureValue (GEOMETRIC_MEAN)Dispersion
Wear RespiratorHeart Rate Variability-LF/HF1.4 ratioStandard Deviation 0.3
Not Wear RespiratorHeart Rate Variability-LF/HF1.5 ratioStandard Deviation 0.3
Primary

Heart Rate Variability-LF Power,HF Power,VLF Power

HRV is a quantitative health marker reflecting how the autonomic nervous system modulates the sinoatrial node in the heart and HRV has therefore been widely used to estimate cardiac autonomic function and control. Subjects were attached with Holter monitor on the 2nd day in each of the 48-hr intervention period.A total of 8 parameters of HRV were analyzed including 4 time-domain indices and 4 frequency-domain indices. Frequency domain methods assign bands of frequency and then count the number of NN intervals that match each band. The bands are typically high frequency (HF) from 0.15 to 0.4 Hz, low frequency (LF) from 0.04 to 0.15 Hz, and the very low frequency (VLF) from 0.0033 to 0.04 Hz. Parasympathetic activity is a major contributor to the HF component. More problematic is the interpretation of the LF component, which was considered by some as a marker of sympathetic modulation but is now known to include both sympathetic and vagal influences.

Time frame: up to 24 hours

ArmMeasureGroupValue (GEOMETRIC_MEAN)Dispersion
Wear RespiratorHeart Rate Variability-LF Power,HF Power,VLF Powerlow frequency(LF) power899.4 ms^2Standard Deviation 601.3
Wear RespiratorHeart Rate Variability-LF Power,HF Power,VLF Powerhigh frequency(HF) power519.7 ms^2Standard Deviation 371
Wear RespiratorHeart Rate Variability-LF Power,HF Power,VLF Powervery low frequency(VLF) power1684.6 ms^2Standard Deviation 875.7
Not Wear RespiratorHeart Rate Variability-LF Power,HF Power,VLF Powerlow frequency(LF) power838.5 ms^2Standard Deviation 562.4
Not Wear RespiratorHeart Rate Variability-LF Power,HF Power,VLF Powerhigh frequency(HF) power416.6 ms^2Standard Deviation 296.6
Not Wear RespiratorHeart Rate Variability-LF Power,HF Power,VLF Powervery low frequency(VLF) power1623.1 ms^2Standard Deviation 1006.5
Comparison: Paired Student's t tests were used in the absence and presence of wearing respirators. HRV was log-transformed before regression analyses. Linear mixed-effect models were applied to investigate the effects of wearing respirators. Age, sex, body mass index, PM2.5 concentration, 48-h mean temperature and 48-h mean humidity were introduced into the model as fixed-effect terms. At last, we incorporated random-effect intercepts for subjects to account for correlations between repeated measurements.p-value: <0.05Paired t-test,2 sided
Primary

Heart Rate Variability-pNN50

HRV is a quantitative health marker reflecting how the autonomic nervous system modulates the sinoatrial node in the heart and HRV has therefore been widely used to estimate cardiac autonomic function and control.A total of 8 parameters of HRV were analyzed including 4 time-domain indices and 4 frequency-domain indices. Subjects were attached with Holter monitor on the 2nd day in each of the 48-hr intervention period. Heart rate and heart automatic function indices including the proportion of successive normal NN intervals differing by more than 50 ms in the total number of NNs(pNN50) were automatically recorded during the intervention.

Time frame: Up to 24 hours

ArmMeasureValue (GEOMETRIC_MEAN)Dispersion
Wear RespiratorHeart Rate Variability-pNN5024.0 percentage of msStandard Deviation 9.9
Not Wear RespiratorHeart Rate Variability-pNN5020.5 percentage of msStandard Deviation 10.5
Primary

Heart Rate Variability-SDNN,SDANN, rMSSD

HRV is a quantitative health marker reflecting how the autonomic nervous system modulates the sinoatrial node in the heart and HRV has therefore been widely used to estimate cardiac autonomic function and control.A total of 8 parameters of HRV were analyzed including 4 time-domain indices and 4 frequency-domain indices. Subjects were attached with Holter monitor on the 2nd day in each of the 48-hr intervention period. Heart rate and heart automatic function indices including the standard deviation of the normal-to-normal interval(SDNN),the standard deviation of the average NN intervals calculated over short periods(SDANN), the root mean square of the successive differences(rMSSD) were automatically recorded during the intervention.

Time frame: Up to 24 hours

ArmMeasureGroupValue (GEOMETRIC_MEAN)Dispersion
Wear RespiratorHeart Rate Variability-SDNN,SDANN, rMSSDSDNN177.5 msStandard Deviation 29.9
Wear RespiratorHeart Rate Variability-SDNN,SDANN, rMSSDSDANN160.7 msStandard Deviation 28.9
Wear RespiratorHeart Rate Variability-SDNN,SDANN, rMSSDrMSSD49.0 msStandard Deviation 13.3

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026