Background/objectives Walking pace is associated with risk of premature mortality. However, whether this relationship is independent of total volume of physical activity and highest physical activity intensity remains unclear. We examined the associations between walking pace and cause-specific mortality, investigating the potential modifying effect of factors such as total physical activity volume, highest physical activity intensity, age, sex and body mass index (BMI).
Methods Prospective pooled analysis of 11 population-based baseline surveys in England and Scotland between 1994 and2008 that were linked with mortality records. Multivariate-adjusted Cox proportional hazards models examined associations between walking pace (slow, average, brisk/fast) and all-cause, cancer and cardiovascular disease (CVD) mortality.
Results 50 225 walkers were entered in the core analyses. Among participants who did not experience an event in the first 2 years of follow-up (n=49 731), walking at an average or brisk/fast pace was associated with a reduced risk of all-cause (20% (95% CI 12% to 28%) and 24% (95% CI 13% to 33%), respectively) and CVD mortality (24% (95% CI 9% to 36%) and 21% (95% CI 1% to 38%), respectively), compared with reporting walking at a slow pace. In stratified analyses, such associations were evident among those over 50 years, those not meeting the physical activity recommendations and those who did not undertake vigorous-intensity activity. There were no interactions by sex or BMI. No associations were seen between pace and cancer mortality.
Conclusion Walking benefits health. Assuming causality, these analyses suggest that increasing walking pace could reduce risk for all-cause and CVD mortality. Walking pace could be emphasised in public health messages, especially in situations when increase in walking volume or frequency is less feasible.
- physical activity
- public health
- cohort study
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Increasing population level walking remains a key focus of physical activity (PA) promotion. Regular walking is known to confer many physical, mental and social health benefits.1 Meta-analyses of cohort studies have sought to quantify the association between regular walking and reduction in risk for all-cause mortality (ACM).2–4 Kelly et al estimated that after adjustment for other PA, walking at a volume equivalent to PA guidelines was associated with an 11% reduction in risk for ACM compared with no walking.5
Considering specific health endpoints, cardiovascular disease (CVD) and cancer are the two most common avoidable causes of mortality in the UK.6 Hamer and Chida conducted a meta-analysis of 13 cohort studies and found a 31% reduction in risk of CVD mortality in the highest walking categories compared with the lowest walking volume/intensity category.2 A recent large analysis of over 250 000 adults in the UK found walking to work was associated with a 36% reduction in risk of CVD mortality compared with non-active commuting.7 The results for cancer mortality are less clear, with, for example, Matthews et al 8 and Celis-Morales et al 7 finding no significant associations between walking volume and cancer mortality in large cohort studies.7 8
According to principles of overload, a higher relative activity intensity achieved by a faster pace of walking would provide the stimulus to produce a greater physiological response, and more substantial or even additional health benefits. Acute studies have shown that walking at a faster pace results in greater physiological responses.1 However, while total volume of walking, for example, by distance or time has been frequently studied,2–5 less is known about the long-term health effects of habitual walking pace.
A Copenhagen City Heart Study analysis9 reported reduced risk of heart failure for moderate and high walking speed compared with slow speed. The authors also suggested that walking pace may have a stronger association with heart failure than total duration of walking. Manson et al 10 found that among 73 743 postmenopausal women aged 50–79 years, walking pace was associated with reduced incidence of CVD in a dose–response fashion. In a 40-year follow-up of the Whitehall study of 6981 British civil servants, Batty et al 11 compared slow walking pace with high walking pace and found a reduced risk of all-cause, coronary heart disease and total cancer mortality. None of these studies adjusted for total volume of PA and it is therefore unclear if the reported effects were partly attributable to the higher overall activity levels of brisk/fast walkers.
A recent analysis of 420 000 UK Biobank participants found significant associations between higher walking pace and reduced risk of all-cause and CVD mortality, but inconsistent findings for cancer mortality.12 However, the UK Biobank had a response rate of 5.5% and concerns have been raised about the generalisability of non-genetic associations from very unrepresentative cohorts.13
In summary, walking pace has been found to be associated with reduced risk of all-cause and cause-specific mortality in a number of cohort studies but the literature on the whole has not addressed independence from total PA robustly. There remains a knowledge gap about the independence of the relationships between walking pace and mortality outcomes in large population cohorts.
Our aim was to examine the associations between self-reported walking pace with all-cause, CVD and cancer mortality in a population representative sample of 11 pooled population British cohorts. A secondary aim was to better understand the role of total and total PA, sex, age and body mass index (BMI) as potential moderators of these associations.
The Health Survey for England (HSE)14 and the Scottish Health Survey (SHeS)15 are established household-based population surveillance studies running since 1991 and 1995, respectively. Each year, samples are selected using a multistage, stratified probability design aimed at recruiting a nationally representative sample of adults living in private households. Trained interviewers visited the selected households, and the recruited participants were administered the study questionnaires. 91.6% of survey participants gave written consent to have their death flagged on the NHS Central Mortality Register. For this analysis, we used data from HSE 1994, 1997, 1998, 1999, 2003, 2004, 2006 and 2008 and SHeS 1995, 1998 and 2003. As population mortality rates increase evidently from the fourth decade of life, we included individuals aged ≥30 years old who reported at least one occasion of walking in the last 4 weeks, had no doctor-diagnosed or self-reported (long-standing illness module) ischaemic heart disease, angina or stroke, and no prevalent cancer through cancer registration records or self-reported (long-standing illness module).
Participants were followed up for mortality until 31 December 2009 (SHeS) or 31 March 2011 (HSE). Diagnoses for primary causes of death were recorded according to the International Classification of Diseases, Ninth Revision (ICD-9) and Tenth Revision (ICD-10). Cancer deaths were identified using ICD-9 140.0–239.9 and ICD-10 C00.0–D48.9 codes; CVD deaths were identified using ICD-9 390.0–459.9 and ICD-10 I01.0–I99 codes.
Assessment of walking and other PA
PA was assessed using an interviewer-administered questionnaire that inquired about walking, domestic PA and participation in sports and exercises in the 4 weeks prior to the interview. An occasion of walking was variously defined as at least 10 min or at least 15 min or at least 30 min in the different baseline surveys 16 Walking was assessed using a question on number of days walked in the last 4 weeks, the average amount of time spent walking on each day and the usual walking pace (‘which of the following describes your usual walking pace: slow pace, average pace, fairly brisk pace, fast pace—at least 4 mph’). Because some baseline surveys (HSE 1994/1999/2003/2004; SHeS 1995) did not enquire about walking duration per reported occasion, we imputed this information based on the age and sex-specific estimates of HSE 1997/1998 (that included duration questions) using methods described elsewhere.16. All PA variables were summarised to reflect weekly averages for easier comparison with currently recommended amounts. The criterion validity of the walking-related questions is unknown. In a convergent validity study of over 2000 adults, the Spearman’s correlation coefficients between accelerometry counts and walking of brisk/fast pace were 0.35 (95% CI 0.31 to 0.40) for women and 0.28 (95% CI 0.23 to 0.34) for men.17 The equivalent coefficients for total weekly questionnaire derived metabolic equivalents (MET)-min were 0.41 (95% CI 0.36 to 0.46) for women and 0.32 (95% CI 0.26 to 0.38) for men.17
The PA compendium18 was used to assign the MET for all activities to calculate total MET-hours/week. We estimated adherence to the general guideline19 as accumulating weekly at least 150 min of moderate intensity or 75 min of vigorous intensity or equivalent combinations of moderate and vigorous PA.19 We also calculated the highest PA intensity reached on at least one occasion over the last 4 weeks that the PA questionnaire time frame covered (light/moderate/vigorous).
Height and weight were measured by the interviewers using standard protocols14 15; BMI was calculated as weight (in kilograms) divided by height (in metres) squared. Additional questions assessed age, educational attainment (age completed full-time education), presence of long-standing illness, weekly frequency of alcohol consumption, smoking habits (never smoker, ex-smoker, currently smoking 1–9 cigarettes/day, currently smoking 10–19/day, currently smoking ≥20/day), psychological distress/depression (12-point General Health Questionnaire (GHQ) score), total (non-walking) leisure time PA volume (MET-hours/week) and total walking volume (MET-hours/week), and highest PA intensity reached on at least one occasion.
Analyses were conducted using SPSS V.22 (SPSS). Cox proportional hazards models with time in study as the time scale were used to examine the associations between walking pace and all-cause, CVD and cancer mortality with ‘slow pace’ as the reference category. Walking pace was originally entered in its original four-category format but the low number of events in the ‘fast pace’ category resulted in unstable estimates and broad 95% CIs; for this reason, all main analyses were carried out with ‘fairly brisk’ and ‘fast’ pace categories collapsed into one group. In a supplemental analysis, we entered walking pace in its original format.
Kaplan-Meier log-minus-log plots were used to examine the proportional hazards assumption and no violations were observed. Analyses were adjusted for age, sex and all covariates listed above. Occupational PA could not be used in the calculation of PA volume because of its non-quantitative nature (it was reported as very/fairly/not very/not at all physically active). Also, we chose not to adjust for occupational PA level in the main Cox models because of the large number of missing values (n≈27 000) due to the corresponding question missing from SHeS 1995 and for responses being dependant on employment status.
We examined effect modification by sex, age and total PA level using type 3 Wald Χ2 statistics for the interaction term in the partially adjusted (for age, sex and cohort/year) model. For interactions with p<0.010 we performed stratified analyses.19 To minimise the possibility of spurious associations due to occult disease we ran a sensitivity analysis where we both included and excluded participants who died in the first 24 months of follow-up. This manuscript adheres to the Strengthening the Reporting of Observational Studies in Epidemiology standards for reporting of observational studies (STROBE).
In total, 65 381 participants were initially considered; 4811 participants (8.4% of total eligible) did not consent to follow-up and were excluded. The variables with the highest number of missing data were BMI (n=6346), GHQ score (n=2444) and smoking (n=151). In total, there were 3617 deaths from any cause including 1014 from CVD and 1276 from cancer causes. The mean follow-up was 9.2 (SD=4.6) years, corresponding to 469 235 person-years. Table 1 presents the sample characteristics for the 50 225 individuals in the core analytical sample. Slower walking pace was associated with older age, female sex, higher BMI scores, reporting a long-standing illness at baseline and psychological distress. Faster walking pace was associated with being a smoker, high frequency of alcohol consumption, finishing education after age 19 years, meeting the PA recommendations, participating in higher intensity PA, high volumes of total non-occupational PA, and higher frequency and total walking volume. Walking pace (in its original four-group format) showed low magnitude correlations with total leisure time PA volume (Spearman r=0.25) and total walking volume (r=0.20).
Table 2 presents the associations between walking pace and the three mortality outcomes with all participants who had an event in the first 24 months of the follow-up excluded (n=49 731). In the fully adjusted models, walking at an average pace was associated with a risk reduction for ACM of 20% (95% CI 12% to 28%) compared with those walking at a slow pace. The respective risk reduction for those walking at brisk/fast pace was 24% (13%–33%). For CVD mortality, walking at an average pace was associated with a 24% (9%–36%) risk reduction and walking at a brisk/fast pace was associated with 21% (1%–38%) risk reduction compared with those walking at a slow pace. There was no evidence to suggest walking at an average or brisk/fast pace was associated with a significant risk reduction in cancer mortality (HR=1.08 (0.89–1.31) and HR=1.02 (0.81–1.29), respectively). The results were similar in direction and magnitude when those who had an event in the first 24 months were included (online supplementary table 1). When the walking pace variable was entered in its original four-group format (online supplementary table 2) associations were similar in magnitude and direction but likely due to lower number of events, the 95% CIs of the fast pace group were very wide and included one for all three outcomes. Repeating all above analyses with the models adjusted for total duration of moderate to vigorous PA (MVPA) and light-intensity activity (instead of average MET-hours/week) produced almost identical results, for example, the HR (95% CI) for ACM in the average pace group changed from 0.80 (0.72 to 0.88) to 0.80 (0.73 to 0.88); in the brisk/fast group it changed from 0.76 (0.67 to 0.87) to 0.77 (0.68 to 0.88) (data available on request).
Supplementary file 1
There were statistically significant interaction effects of walking pace and total PA volume (eg, p=0.038 for ACM) and highest intensity reached (eg, p=0.004 for ACM). Significant interaction effects were also found for walking pace and age (eg, p=0.005 for ACM) but not for sex or BMI.
Stratified analyses by age in two and three groups are presented in figure 1 and online supplementary figure 1, respectively, and by compliance with the PA recommendations in figure 2. Figure 1 shows clearer evidence of a relationship between walking pace and all-cause and CVD mortality, but not cancer mortality, in the over 50s compared with the results for the whole sample. There was little evidence of association in the under 50s. Online supplementary figure 1 showed clearer evidence for a relationship of walking pace with ACM in those aged 45–59 and ≥60 years and with CVD mortality in those aged ≥60 years.
Figure 2 shows clearer evidence of a relationship between walking pace and all-cause and CVD mortality, but not cancer mortality, among those that did not meet the PA guidelines compared with the results of the whole sample. For those meeting the guidelines, the direction of effect for all-cause and CVD mortality was protective for increasing pace, but very low number of events caused low power and wide CIs.
Figure 3 shows the stratified analyses of walking pace and all-cause and CVD mortality by highest intensity reached; analyses were not performed for cancer mortality due to the low number of events in some cells and the apparent violation of the proportional hazards assumption. There was evidence of a relationship between walking pace and ACM in both the light and moderate-intensity groups. There was some evidence for a relationship with CVD mortality in these groups although CIs were wider and there was no dose–response. There was no evidence of a relationship between walking pace and all-cause or CVD mortality among the group that reported reaching vigorous intensity.
In adults in Scotland and England, walking at average or brisk/fast pace was associated with a reduced risk of all-cause and CVD mortality compared with walking at slow pace. However, there was no evidence of a similar relationship with cancer mortality. Our findings are in agreement with previous studies which have reported that a higher pace of walking was associated with a risk reduction for ACM between 19%20 and 42%.11 Our estimates are within this range, and adjusted for total volume of both walking and non-walking PA (MET-hours/week), and highest PA intensity reached. We found that the associations between pace and ACM persisted after controlling for total leisure time PA, which is consistent with studies that controlled for total walking energy expenditure21 and MVPA.12 Batty et al reported a 20% reduction in cancer mortality for walking fast.11 Similar to Yates et al,12 we did not find any evidence of this effect.
The association between pace on all-cause and CVD mortality may be explained by the increased relative exercise intensity elicited by a faster pace providing a greater stimulus for physiologic adaptations22 in functions known to influence CVD mortality. This may be further confirmed by the observation that the associations of walking pace with ACM and (in particular) CVD mortality were considerably weakened for the subsample of participants who have achieved vigorous intensity in non-walking PA.
We did not find an effect of pace on cancer mortality. Volume may be more important than pace for cancer mortality. Alternatively, we know that different cancers have different relationships with PA, and that if we had examined mortality from specific malignancies, for example, breast and colon cancers, a relationship may have been observed. 23
We did not find evidence for associations for the younger participants, the physically active or for those reaching vigorous intensity, but recommend caution when interpreting these findings as low number of events in some strata increased uncertainty. It is possible that older age and lower PA status (total or intensity) predict lower aerobic fitness (maximal oxygen consumption). As such, that the relative intensity of walking at faster pace may be equivalent to the upper end of moderate intensity or even vigorous intensity, and therefore provides a greater physiological stimulus for maintaining cardiovascular function and promoting health.
Separating the effect of one specific aspect of PA and understanding its potentially causal association with mortality is complex. Our analyses suggest that participants who usually walk at a brisk/fast pace are overall the most active and probably the healthiest. Although it is biologically plausible that walking at a higher pace leads to better health overall and cardiovascular health specifically, it is also likely that walking at a faster pace is a marker for better health, fitness and physical function, which predicts the risk for mortality in the following years. In other words, walking pace may be a predictor of lower mortality risk, a causal factor, or both.
Strengths and limitations
The strengths of the present study include the large sample comprising a series of baseline surveys that were roughly representative of the population in England and Scotland, the very high response rates and the relatively long follow-up. The results can be generalised to the UK population with more confidence than previous estimates. To our knowledge, this is the first such study to report associations between walking pace and all-cause, CVD and cancer mortality and adjust for total (walking and non-walking) PA volume and highest intensity reached. We also present novel analysis of associations stratified by age, total PA and highest intensity reached to investigate important potential effect modifiers.
Limitations include the exposure ‘walking pace’ and all other PA variables were self-reported and therefore subject to misclassification and other biases. Further misclassification may have been introduced by the imputation of walking duration for a number of baseline surveys,16 and this may be partly the reason why adjustments for total walking volume had negligible impact on the estimates. The repeated cross-sectional nature of HSE and SHeS meant we could not assess or account for temporal changes in walking behaviour within individuals. The analyses controlled for a comprehensive set of covariates in addition to PA, although we cannot discount the possibility of residual confounding. Some stratified analyses had too few events and therefore may not have been powerful enough to detect associations or lack of association with confidence.
Implications and future research
The additional protective effect demonstrated from higher walking pace may have implications for public health messaging. Walking is a cornerstone of PA promotion for public health, but volume of walking (steps per day) has often been emphasised.24 Given the perceived time barrier cited by those who fail to meet current PA guidelines, a pace change may be more feasible (for those with adequate physical capacity) than increased volume or duration. We encourage the Chief Medical Officers’ Physical Activity Guidelines Committee to consider this in their upcoming revision of the PA Guidelines. Further experimental research is warranted to establish if a randomised intervention based on pace elicits important physiological change.25
Walking is known to benefit health. Assuming causal relationships, these analyses suggest that increasing walking pace could be linked with lower risk for all-cause and CVD mortality. Walking pace should be emphasised in public health messages, especially in circumstances when increase in walking volume or frequency is less feasible.
Funding This analysis was not financially supported directly by any individual, agency or institution. The harmonisation of the pooled data sets used in this analysis was funded by the National Institute for Health Research (UK) through a grant to ES. ES and DD are funded by the National Health and Medical Research Council (Australia) through a Senior Research Fellowship and an Early Career Research Fellowship, respectively.
Competing interests None declared.
Patient consent Obtained.
Ethics approval Multiple Research Ethics Committees in England and Scotland.
Provenance and peer review Not commissioned; externally peer reviewed.
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