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. 2011 Jul 4;342:d3867. doi: 10.1136/bmj.d3867

Physical inactivity and idiopathic pulmonary embolism in women: prospective study

Christopher Kabrhel 1,2,, Raphaëlle Varraso 3,4, Samuel Z Goldhaber 5,2, Eric Rimm 6,7, Carlos A Camargo Jr 1,7
PMCID: PMC3266839  PMID: 21727169

Abstract

Objectives To determine the association between physical inactivity (that is, a sedentary lifestyle) and incident idiopathic pulmonary embolism.

Design Prospective cohort study.

Setting Nurses’ Health Study.

Participants 69 950 female nurses who completed biennial questionnaires from 1990 to 2008.

Main outcome measures The primary outcome was idiopathic pulmonary embolism confirmed in medical records. Multivariable Cox proportional hazards models controlled for age, body mass index (BMI), energy intake, smoking, pack years, race, spouse’s educational attainment, parity, menopause, non-aspirin non-steroidal anti-inflammatory drugs, warfarin, multivitamin supplements, hypertension, coronary heart disease, rheumatological disease, and dietary patterns. The primary exposure was physical inactivity, measured in hours of sitting each day. The secondary exposure was physical activity, measured in metabolic equivalents a day.

Results Over the 18 year study period, there were 268 cases of incident idiopathic pulmonary embolism. There was an association between time of sitting and risk of idiopathic pulmonary embolism (41/104 720 v 16/14 565 cases in most inactive v least inactive in combined data; P<0.001 for trend). The risk of pulmonary embolism was more than twofold in women who spent the most time sitting compared with those who spent the least time sitting (multivariable hazard ratio 2.34, 95% confidence interval 1.30 to 4.20). There was no association between physical activity and pulmonary embolism (P=0.53 for trend).

Conclusions Physical inactivity is associated with incident pulmonary embolism in women. Interventions that decrease time sitting could lower the risk of pulmonary embolism.

Introduction

Pulmonary embolism is a common cause of cardiovascular morbidity and mortality. The annual incidence in the United States is 1-2 per 1000 adults, similar to that of stroke and myocardial infarction.1 2 3 Pulmonary embolism is typically a consequence of a deep vein thrombosis in the lower extremities. Risk factors for deep vein thrombosis/pulmonary embolism include age, limb immobilisation, malignancy, pregnancy, surgery, and acquired or inherited thrombophilias. Arterial and venous thrombosis share multiple risk factors such as obesity, cigarette smoking, and hypertension.4 5 6 7

Associations between physical inactivity, physical activity, and pulmonary embolism remain uncertain. Some published case-control studies found that exercising on a regular basis decreases the risk of venous thrombosis by 30-50% compared with not exercising.8 9 10 Other studies, however, including prospective cohort studies, have found that physical activity is associated with an increased risk of venous thromboembolism.5 11 12 13 This inconsistency could reflect the difference between short term exercise, which might increase the risk of thrombosis by increasing inflammation and injuries to extremities, and regular exercise, which might decrease the risk of thrombosis by improving blood flow. It is also likely that overall physical activity does not fully describe an individual’s lifestyle. For example, the same number of metabolic equivalents a week can be achieved by maintaining a relatively high level of baseline activity (such as walking for eight hours) without ever engaging in strenuous physical activity, or by spending most of the time sedentary but engaging in brief periods of strenuous physical activity (such watching television for seven hours and then running for one hour). Therefore, it is just as important to assess physical inactivity (a sedentary lifestyle) as it is to assess physical activity (exercise).

To better define the association between physical inactivity and risk of pulmonary embolism, we performed a prospective observational cohort study in 69 950 women who provided detailed information about their lifestyle habits on biennial questionnaires. We hypothesised that physical inactivity, defined by more time spent sitting, is associated with an increased incidence of pulmonary embolism.

Methods

Participants

The Nurses’ Health Study (www.channing.harvard.edu/nhs) is a longitudinal cohort study established in 1976. At baseline, questionnaires were sent to registered nurses living in one of 11 populous states in the United States. The state boards of nursing and the American Nurses’ Association provided this information. After exclusions on the basis of age, sex, and incomplete questionnaire information, a cohort of 121 700 women aged 30-55 (in 1976) was established. Though there were no exclusions by race, about 98% of the cohort is white, corresponding to the race of women entering nursing in 1976.

Every two years, participants are mailed a questionnaire assessing risk factors and the interval occurrence of disease. Records of diagnoses of pulmonary embolism have been collected prospectively on each biennial questionnaire since study inception. Data describing time sitting were collected in 1988 and 1990, and data describing physical activity have been collected since 1980. We therefore began prospective follow-up in 1990 among women who responded to both the 1988 and 1990 questionnaires (n=99 290). Outcome ascertainment occurred from 1990 to 2008.

Participants in the Nurses’ Health Study initially receive a long questionnaire, which includes questions about physical inactivity. Participants who do not respond to the long questionnaire receive a short questionnaire, which focuses on occurrence of disease but does not include questions about physical inactivity. We excluded 28 235 women from the analysis because they did not report their time sitting (either because they did not complete the long questionnaire in either 1998 or 1990 or because of missing values). No missing data were imputed. We also excluded 1105 women because pulmonary embolism occurred before 1990. Our present analysis included 69 950 women.

Exposures

The primary exposure was physical inactivity, defined a priori by the number of hours spent sitting a day. Time sitting was assessed in 1988 when women were asked to report “the number of hours per week [they] spent sitting (e.g., at work, at home, driving)” as none, 1, 2-5, 6-10, 11-20, 21-40, 41-60, 61-90, or over 90. It was assessed again in 1990 when women were asked to report “the number of hours per week [they] spent sitting at home” as less than half an hour, half to 1 hour, 1-2, 3-5, 6-10, 11-20, 21-40, 41-60, 61-90, or over 90. In 1990, the questionnaire also included questions assessing time sitting in the car or at work and time spent watching television. We focused on time sitting at home, as this accounted for most of the time sitting during the day, and we thought it was most likely to reflect the overall time sitting as assessed in 1988. For each questionnaire response, we categorised and assigned point scores to time sitting in hours/week: low (<10)=1 point, medium (11-40)= 2 points, and high (>40)=3 points. We then added each woman’s point score for time sitting in 1988 and 1990 to define each her overall time sitting. Thus, each woman was assigned to one of five categories of time sitting, with point values ranging from 2 (low time sitting in 1988 and 1990) to 6 (high time sitting in 1988 and 1990).

In a secondary analysis, we assessed the association between overall physical activity, as measured in metabolic equivalents a week, and incident pulmonary embolism. Data related to physical activity have been collected with a physical activity questionnaire since 1980 but for consistency with the physical inactivity analysis, we limited this to data collected in 1988. On the physical activity questionnaire, participants were asked to report the average number of hours a week they spent on various physical activities and sports. They were also asked to report the average number of flights of stairs they climbed each week and an estimate of their usual walking pace. We combined these data to determine each participant’s overall metabolic equivalents a week. Previous studies have validated the use of the physical activity questionnaire and shown it to be correlated with physical activity diaries.14 15 For the purpose of analyses, we divided physical activity into fifths (physical activity in 1988).

Outcomes

On each questionnaire, nurses were asked whether they had received a physician’s diagnosis of pulmonary embolism. Those reporting pulmonary embolism, but without a history of malignancy, received a follow-up letter requesting medical records from the facility where the pulmonary embolism was diagnosed. We reviewed these records in detail and coded cases. Incident cases for which the medical record included imaging diagnostic of pulmonary embolism were considered as confirmed. Imaging was considered as diagnostic if the radiologist reading the study noted either a ventilation or perfusion lung scan with a high probability for pulmonary embolism, a filling defect on contrast enhanced computed tomography of the pulmonary vasculature, or a filling defect on catheter based pulmonary angiography. Women who did not return a questionnaire contributed person years to follow-up if they returned a questionnaire during a subsequent cycle. Those reporting pulmonary embolism had the date of diagnosis confirmed on review of medical records, with the date of confirmatory chest imaging used as the date of diagnosis.

Confirmed cases were coded as “idiopathic pulmonary embolism” when review of medical records showed no history of surgery or major trauma within one month of the diagnosis of pulmonary embolism and no history of active malignancy. One month is a typical timeframe used in studies assessing the probability of pulmonary embolism after trauma or surgery.16 17 If the woman died before imaging but autopsy records confirmed the cause of death was pulmonary embolism, we considered this as a confirmed pulmonary embolism. These cases were also considered idiopathic unless available medical records showed an association with recent surgery, trauma, or malignancy. Using this definition, over 18 years of follow-up, we identified 268 cases of incident idiopathic pulmonary embolism.

Subgroup analyses

We investigated the acute effect of physical activity by separately analysing the association between physical inactivity and pulmonary embolism among nurses at or above the median level of physical activity (metabolic equivalents/day) and among nurses below the median level. As physical inactivity can increase with age, we also stratified our analysis according to age (<65 and ≥65).18 19 In a third and final subgroup analysis, we stratified according to obesity, which also tends to be associated with physical inactivity, with strata for women with BMI <30.0 and ≥30.19 To preserve statistical power in each of the subanalyses, we combined time sitting into three groups (lowest (physical inactivity score 2), medium (score 3 or 4), and highest (score 5 or 6)), rather than the five used in the primary analysis.

Confounders

When possible, covariates were obtained from the 1990 questionnaire and updated every two years. Variables included age, BMI, total energy intake, coronary heart disease, hypertension, menopausal status, multivitamin use, non-aspirin non-steroidal anti-inflammatory drugs, parity, race, rheumatological disease, spouse’s highest educational attainment, smoking status, pack years of smoking, warfarin use (first obtained in 1994), and dietary intake/pattern. Previous studies have validated the use of these self reported measurements.20 21 22 BMI was updated biennially and calculated according to the standard formula (weight (kg)/height (m)2). Total energy intake was measured in kilocalories a day. Coronary heart disease was defined as any history of angina, coronary artery stenosis, or myocardial infarction and was considered dichotomous. Hypertension, use of drugs and vitamins, and rheumatological disease (any history of systemic lupus erythematosus or rheumatoid arthritis) were also considered dichotomous.

Menopausal status was categorised as premenopausal or postmenopausal and according to whether oestrogen or progesterone replacement (oral or patch) had been or was being used. Parity was categorised as nulliparous, one, two to three, or four or more children. Race and spouse’s highest educational attainment were obtained from the 1992 questionnaire. As most (90%) of Nurses’ Health Study participants are white, reflecting the demographics of the nursing profession in 1976, we categorised race as white or non-white.

In this cohort of female nurses, who share a profession and therefore relatively similar education, we used spouse’s highest educational attainment (high school, college, or graduate school) as a proxy for socioeconomic status. Smoking was categorised as never, ex-smoker, or current smoker. Pack years of smoking were calculated among ever smokers. Dietary pattern was defined as a prudent pattern (emphasising intake of fruit, vegetables, fish, and wholegrain products) or a western pattern (emphasising intake of refined grains, cured and red meats, desserts, and chips (French fries).23 We performed our primary analysis including all of these factors in our multivariable model. In addition, to address the likelihood that physical inactivity is related to BMI, total energy intake, dietary patterns and physical activity, we analysed a second model with these covariates removed.

Statistical analysis

We performed age and multivariable adjusted Cox proportional hazards analysis to obtain hazard ratios and 95% confidence intervals for the risk of pulmonary embolism with physical inactivity (time sitting a day). To control as finely as possible for confounding by age, calendar time, and any possible two way interactions between these two time scales, we stratified the analysis jointly by age in months at the start of follow-up and calendar year of the current questionnaire cycle. For all analyses of physical inactivity, we used the group with the lowest amount of time sitting as the reference group. For the analyses of physical activity, we used women in the lowest fifth of physical activity as the reference group. We tested for trend across the categories of physical inactivity by treating the categories as an ordinal variable in a proportional hazards model. We formally tested for interaction. All analyses used SAS version 9.1 (SAS Institute, Cary, NC).

Results

There were 268 (0.4%) cases of incident idiopathic pulmonary embolism among the 69 950 women in our primary analysis of physical inactivity. Incident pulmonary embolism was diagnosed in the following years of the questionnaire cycle: 1990-2 (n=15, 6%), 1992-4 (n=19, 7%), 1994-6 (n=30, 11%), 1996-8 (n=37, 14%), 1998-2000 (n=29, 11%), 2000-2 (n=41, 15%), 2002-4 (n=43, 16%), 2004-6 (n=52, 19%), and 2006-8 (n=2, 1%). There were 267 (0.4%) cases of incident idiopathic pulmonary embolism among the 69 647 women in our secondary analysis of physical activity. Table 1 shows baseline characteristics of women in the primary analysis, adjusted for age and stratified according to inactivity time. In 1988, 20 475 (29%) women sat <10 hours a week, 34 331 (49%) sat between 11 and 40 hours a week, and 15 144 (22%) sat 41 or more hours a week. In 1990, when the question focused on sitting at home, 29 875 (43%) of women sat <10 hours a week, 36 428 (52%) sat between 11 and 40 hours a week, and 3647 (5%) sat 41 or more hours a week. The distribution of time sitting in 1988 was more similar to time sitting at home in 1990 than time sitting at work, with most nurses (43 530, 64%) reporting <10 hours a week sitting at work in 1990. Most women were white and had given birth to at least two children. There were no major differences in the baseline characteristics across categories of inactivity, though women with more physical inactivity tended to have a higher energy intake, higher BMI, and a lower level of physical activity.

Table 1.

Age standardised baseline characteristics (1990) according to physical inactivity, Nurses’ Health Study (n=69 950). Figures are percentages of participants unless stated otherwise

Amount of time sitting (2=lowest, 6=highest)*
2 3 4 5 6
No of participants 12 451 20 718 24 549 10 403 1829
Mean age in 1990 56.6 (7.2) 56.0 (7.1) 56.0 (7.1) 56.0 (7.0) 59.0 (6.9)
Amount of time sitting in 1988 (hours/week):
<10 100 36 2 0 0
11-40 0 64 81 12 0
≥41 0 0 17 88 100
Amount of time sitting at home in 1990 (hours/week):
<10 100 64 17 0 0
11-40 0 36 81 88 0
≥41 0 0 2 12 100
White race/ethnicity 96 98 98 99 98
Smoking:
Non-smokers 45 45 46 43 42
Ex-smokers 37 39 40 42 41
Current smokers 18 16 14 15 17
Missing 0.3 0.2 0.1 0.2 0.1
Pack years among ever smokers†‡ 23 22 23 24 30
Spouse’s educational attainment:
High school 36 36 38 37 41
College 23 24 24 24 23
Graduate school 18 20 20 21 21
Missing 23 20 18 18 15
Body mass index (BMI) 25.3 25.5 25.6 26.3 27.3
Total physical activity (metabolic equivalents/week)†§ 19.6 19.7 19.7 17.8 15.7
Total caloric intake (kilocalories/day)† 1682 1722 1783 1803 1840
Parity:
Nulliparous 5 5 6 6 7
1 7 7 7 7 8
2-3 55 55 56 57 52
≥4 31 32 30 29 32
Missing 2 1 1 1 1
Premenopausal 21 23 23 23 12
Hormone replacement therapy after menopause:
None 27 26 26 27 32
Past user 16 15 15 14 20
Current user of oestrogen replacement therapy 13 13 13 13 14
Current user of oestrogen-progesterone replacement therapy 9 9 10 10 9
Missing 14 14 13 13 13
Use of NSAIDs 43 45 44 44 42
Warfarin use 0.9 0.8 0.9 0.9 2
Multivitamin supplement use 37 38 38 39 39
Hypertension 18 18 18 20 25
Coronary heart disease¶ 1 3 3 3 5
Rheumatological disease** 3 3 3 3 4
Dietary intake (servings/day)†:
Fruits 1.7 1.7 1.7 1.6 1.5
Vegetables 3.5 3.5 3.4 3.4 3.3
Fish 0.36 0.36 0.35 0.34 0.32
Whole grain cereals 1.3 1.3 1.4 1.4 1.4
Refined grain cereals 1.1 1.2 1.2 1.3 1.4
Cured meat 0.19 0.21 0.22 0.24 0.28
Dessert 0.9 1.0 1.1 1.1 1.2
Chips (French fries) 0.04 0.04 0.05 0.05 0.06

NSAIDs=non-steroidal anti-inflammatory drugs.

*Data describing amount of time sitting available from 1988 and 1990 questionnaires. See text for details describing categories of physical activity.

†Age adjusted mean (all such values).

‡No of packs smoked/day×No of years smoked, among past and current smokers.

§Metabolic equivalent hours/week, sum of average time/week spent in each activity×metabolic equivalent value of each activity.

¶Coronary heart disease includes any history of myocardial infarction, coronary artery stenosis, or angina.

**Includes any history of systemic lupus erythematosis or rheumatoid arthritis.

After adjustments for age, coronary heart disease, hypertension, menopausal status, multivitamin use, non-aspirin non-steroidal anti-inflammatory drug use, parity, race, rheumatological disease, spouse’s highest educational attainment, smoking status and pack years of smoking, and warfarin use, physical inactivity was associated with an increase in the risk of idiopathic pulmonary embolism (hazard ratio for a 1 unit increased score 1.29, 95% confidence interval 1.15 to 1.45; P<0.001) (table 2). For women with the most physical inactivity, the risk of pulmonary embolism was more than twice that of women with the least physical inactivity (multivariable hazard ratio 2.68, 1.50 to 4.79). Further adjustments for BMI, total energy intake, physical activity, and dietary pattern led to similar results. Subanalysis excluding women taking warfarin also yielded similar results (data not shown).

Table 2.

Association between physical inactivity and incident idiopathic pulmonary embolism, Nurses’ Health Study (n=69 950), with hazard ratios (HR) for trend

Amount of time sitting* (score 2=lowest, 6=highest), combined data from 1988 and 1990 HR (95% CI) for trend, P value
2 3 4 5 6
No of cases/person years 41/104 720 53/175 518 104/209 002 54/88 228 16/14 565
Age adjusted HR (95% CI) 1.00 0.79 (0.52 to 1.19) 1.31 (0.90 to 1.88) 1.62 (1.08 to 2.44) 2.73 (1.53 to 4.88) 1.29 (1.15 to 1.45), <0.001
Multivariable HR (95% CI)† 1.00 0.79 (0.52 to 1.19) 1.29 (0.90 to 1.85) 1.61 (1.07 to 2.42) 2.68 (1.50 to 4.79) 1.29 (1.15 to 1.45), <0.001
Multivariable HR (95% CI)‡ 1.00 0.79 (0.53 to 1.19) 1.29 (0.89 to 1.85) 1.51 (1.01 to 2.28) 2.34 (1.30 to 4.20) 1.25 (1.12 to 1.40), <0.001

*Amount of time sitting available from 1988 questionnaire, and amount of time sitting at home available from 1990 questionnaire.

†Adjusted for age, coronary heart disease, hypertension, menopausal status, multivitamin use, use of non-aspirin non-steroidal anti-inflammatory drugs, parity, race, rheumatological disease, spouse’s highest educational attainment, smoking status and pack years of smoking, and warfarin use.

‡Additionally adjusted for BMI, total energy intake, physical activity, and dietary pattern.

We did not find a significant association between increased overall physical activity (metabolic equivalents a week) and incident idiopathic pulmonary embolism. Across fifths of physical activity, the multivariable hazard ratios were 1.00 (reference), 0.91 (0.62 to 1.33), 1.17 (0.82 to 1.67), 0.85 (0.58 to 1.26), and 0.89 (0.60 to 1.32) (P=0.53 for trend). Further adjustment for physical inactivity led to similar result (P=0.42 for trend).

Subanalyses

We performed several subanalyses of the association between physical inactivity and pulmonary embolism. To assess the effect of brief periods of physical activity, we stratified our analysis of physical inactivity according to overall level of physical activity (table 3). Women below the cohort median of 8.4 metabolic equivalents of physical activity a week had a significantly increased risk of idiopathic pulmonary embolism with time sitting (multivariable hazard ratio 1.30, 1.00 to 1.69; P=0.05 for trend), whereas this association was not significant among women at or above the cohort median of physical activity (1.25, 0.89 to 1.76; P=0.20 for trend). The formal test for interaction was not significant (P=0.59 for interaction).

Table 3.

Association between physical inactivity and incident pulmonary embolism according to level of physical activity, Nurses’ Health Study (n=69 950), with hazard ratios (HR) and 95% confidence intervals

Amount of time sitting* (1=lowest, 3=highest), combined data from 1988 and 1990 HR (95% CI) for trend, P value
1 2 3
Low level of physical activity (<8.4 metabolic equivalents/week)
No of cases/person years 25/49 105 83/169 990 41/49 834
Age adjusted HR (95% CI) 1.00 1.01 (0.64 to 1.58) 1.69 (1.03 to 2.79) 1.36 (1.04 to 1.76) 0.02
Multivariable HR (95% CI)† 1.00 0.99 (0.64 to 1.56) 1.66 (1.00 to 2.68) 1.34 (1.03 to 1.72) 0.03
Multivariable HR (95% CI)‡ 1.00 0.98 (0.63 to 1.55) 1.57 (0.94 to 2.59) 1.30 (1.00 to 1.69) 0.05
High level of physical activity (≥8.4 metabolic equivalents/week)
No of cases/person years 13/46 874 65/189 802 22/46 607
Age adjusted HR (95% CI) 1.00 1.25 (0.69 to 2.27) 1.74 (0.88 to 3.46) 1.33 (0.95 to 1.87) 0.09
Multivariable HR (95% CI)† 1.00 1.23 (0.67 to 2.23) 1.60 (0.81 to 3.24) 1.27 (0.90 to 1.80) 0.17
Multivariable HR (95% CI)‡ 1.00 1.20 (0.66 to 2.19) 1.54 (0.77 to 3.09) 1.25 (0.89 to 1.76) 0.20

*Available overall from 1988 questionnaire and for sitting at home from 1990 questionnaire. See text for details.

†Adjusted for age, coronary heart disease, hypertension, menopausal status, multivitamin use, non-aspirin non-steroidal anti-inflammatory drug use, parity, race, rheumatological disease, spouse’s highest educational attainment, smoking status and pack years of smoking, and warfarin use.

‡Additionally adjusted for BMI, total energy intake, physical activity, and dietary pattern.

We stratified our analysis according to age (<65 and ≥65). We found a similarly strong association between physical inactivity and risk of pulmonary embolism in both groups (multivariable hazard ratio 1.54 (1.11 to 2.12; P=0.009 for trend) and 1.32 (0.99 to 1.75; P=0.06 for trend), respectively; P=0.65 for interaction).

Lastly, to assess whether the association between physical inactivity and pulmonary embolism varied with obesity, we stratified our analysis according to BMI. We reported a significant positive association between physical inactivity and pulmonary embolism for women with BMI <30: the risk of pulmonary embolism by time sitting was 1.39 (0.86 to 2.25) and 2.33 (1.37 to 3.99) for medium and high levels of inactivity (multivariable hazard ratio 1.42, 1.23 to 1.66; P<0.001 for trend). For women with BMI ≥30.0, the association was not significant; the risk for pulmonary embolism was 0.69 (0.41 to 1.17) and 0.97 (0.53 to 1.77), for similar categories (multivariable hazard ratio 1.01, 0.84 to 1.23; P=0.90 for trend). The formal test for interaction was not significant (P=0.22 for interaction).

Discussion

In this large cohort of female nurses, we found an association between physical inactivity (time sitting) and risk of idiopathic pulmonary embolism. Women with the most physical inactivity had more than twice the risk of pulmonary embolism compared with those with the least physical inactivity. The association was strongest among women who also reported minimal regular physical activity. The strength of this association is similar to that of several other recognised risk factors for pulmonary embolism, such as use of oestrogen, obesity, and smoking.4 6 12 24 25 26 27 28

Comparison with other studies

This prospective cohort study showed that physical inactivity is associated with an increased risk of pulmonary embolism. The large cohort enabled us to establish a temporally correct relation between physical inactivity and pulmonary embolism and to control for many potential confounders.

Previous epidemiological data on the relation between physical activity (exercise) and pulmonary embolism are inconsistent, with studies reporting both increased and decreased risk.5 8 12 In our analysis we found no significant association between physical activity (metabolic equivalents/week) and the risk of idiopathic pulmonary embolism. In addition, the increased risk of pulmonary embolism associated with physical inactivity was more apparent in women with lower levels of physical activity. This finding suggests that regular physical activity could protect against pulmonary embolism, and periods of physical activity might counteract the effect of physical inactivity. These findings could also help to explain why previous studies of physical activity yielded conflicting results. This warrants further exploration.

Strengths and limitations of the study

A limitation of our study involves the nature of the cohort: female nurses, >95% of whom are white. This represents the demographics of nurses in 1976 but limits the generalisability of our results to other racial/ethnic groups and to men. Our results should be verified in other populations. Moreover, the mean age of our cohort was >55 at inception, so our results might not be relevant in younger women. In older people, however, who for various reasons tend be more physically inactive, the association between physical inactivity and pulmonary embolism could be particularly important.29 Though follow-up for this study began after the Nurses’ Health Study cohort was well established, we recognise that in the early phases of any long term study, participants tend to be healthier than non-participants. Women enrolled in the Nurses’ Health Study are different from the general population. Their education, access to medical care, and above average standard of living all might limit generalisability. Nonetheless, there is little biological basis for suspecting that the relation we observed between physical inactivity and pulmonary embolism would differ in other groups of women. Furthermore, the group’s relative homogeneity and good baseline health help to minimise confounding by socioeconomic factors, access to healthcare, and health literacy.

We used self reported time sitting as a proxy measure for physical inactivity. We believe that this measure accurately reflects an individual’s overall physical inactivity, though we acknowledge that any single measure will not fully describe a person’s lifestyle. We used two time points (1988 and 1990) to measure physical inactivity. Though it is possible that levels of physical inactivity changed over time, we did not have the ability to detect any changes. Further studies incorporating direct and continuous measurements of physical inactivity would be beneficial. We also acknowledge that the variable we used to determine the time sitting was different in 1988 and 1990. In 1990, the Nurses’ Health Study questionnaire divided time sitting into several categories. We chose time sitting at home to account for the majority of time spent sitting during the day and therefore best reflect a “sedentary lifestyle.” Our results, however, could have been slightly different if overall time sitting had been available for analysis in both years. Our case definition for pulmonary embolism was relatively stringent and required confirmation in medical records. As a result, we might have missed some cases. The incidence we found, however, is similar to that previously reported in the literature. Data on one potential confounder, warfarin use, were first collected four years after cohort inception and thus might have been incompletely controlled for in our model. Finally, we consider that our results could have been influenced by measurement bias, investigation bias, or inaccuracies arising from self reported measures of physical inactivity. The observed association between physical inactivity and pulmonary embolism, however, was consistent across subgroups.

Biological mechanisms and public health implications

It is biologically plausible that physical inactivity could increase the risk of pulmonary embolism. Muscular activity in the lower extremities is required to promote venous blood return.30 31 32 Thus, lack of such activity could result in venous stasis and thrombosis. Lower levels of circulating factors such as tissue plasminogen activator, platelets, and fibrinogen could also play a role by increasing thrombotic tendency and plasma viscosity.33 34 35 36 37 38 39 Regardless of the pathophysiological mechanism, the public health implications of our findings are potentially profound. Americans lead an increasingly inactive lifestyle, and this could partly explain the high prevalence of pulmonary embolism.40 Public health campaigns that discourage physical inactivity among the general population could reduce the incidence of pulmonary embolism.

What is already known on this topic

  • Pulmonary embolism is associated with considerable morbidity and mortality

  • While studies have explored the association between physical activity (exercise) and pulmonary embolism, few data are available describing the association with physical inactivity (sedentary lifestyle)

What this study adds

  • Physical inactivity is associated with increased risk of pulmonary embolism in women

  • The risk of pulmonary embolism is more than twofold in women who spent the most time sitting compared with those who spent the least time sitting

The Nurses’ Health Study is coordinated at the Channing Laboratory, Brigham and Women’s Hospital, Boston, MA. We acknowledge the dedication and hard work of all of the Nurses’ Health Study staff, especially Gary Chase, Karen Corsano, Betsy Frost-Hawes, Barbara Egan, and of course the nurses themselves.

Contributors: CK conceived the study, obtained funding, collected the data, planned the analysis, drafted and critically revised the manuscript, and approved the final version for publication. RV and CAC conceived the study, obtained funding, planned and performed the statistical analysis, critically revised the manuscript, and approved the final version for publication. SZG and ER conceived the study, obtained funding, critically revised the manuscript, and approved the final version for publication. CK, RV, and CAC are guarantors.

Funding: This study was funded by the National Institute on Aging, National Institutes of Health, Bethesda, MD (R21AG031079, P01CA87969, and R01HL034594). The funding source had no role in design or conduct of the study; collection, management, analysis, or interpretation of the data; preparation, review, or approval of the manuscript.

Competing interest: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: no support from any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

Ethical approval: This study was approved by the human research committee of Partners HealthCare.

Data sharing: Requests for access to data, statistical code, questionnaires, and technical processes may be made by contacting the corresponding author at ckabrhel@partners.org.

Cite this as: BMJ 2011;342:d3867

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