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. 2014 Mar 17;62(4):599–606. doi: 10.1111/jgs.12748

Physical Activity in Older Men: Longitudinal Associations with Inflammatory and Hemostatic Biomarkers, N-Terminal Pro-Brain Natriuretic Peptide, and Onset of Coronary Heart Disease and Mortality

Barbara J Jefferis PhD *,, Peter H Whincup PhD , Lucy T Lennon MSc *, Olia Papacosta MSc *, S Goya Wannamethee PhD *
PMCID: PMC4283726  PMID: 24635212

Abstract

Objectives

To examine associations between habitual physical activity (PA) and changes in PA and onset of coronary heart disease (CHD) and the pathways linking PA to CHD.

Design

British Regional Heart Study population-based cohort; men completed questionnaires in 1996 and 1998 to 2000, attended rescreen in 1998 to 2000, and were followed up to June 2010.

Setting

Community.

Participants

Of 4,252 men recruited from primary care centers (77% of those invited and eligible) who were rescreened in 1998 to 2000, 3,320 were ambulatory and free from CHD, stroke, and heart failure and participated in the current study.

Measurements

Usual PA (regular walking and cycling, recreational activity and sport). Outcome was first fatal or nonfatal myocardial infarction.

Results

In 3,320 ambulatory men, 303 first and 184 fatal CHD events occurred during a median of 11 years of follow-up; 9% reported no usual PA, 23% occasional PA, and 68% light or more-intense PA. PA was inversely associated with novel risk markers C-reactive protein, D-dimer, von Willebrand Factor and N-terminal pro-brain natriuretic peptide (NT-proBNP). Compared with no usual PA, hazard ratios (HRs) for CHD events, adjusted for age and region, were 0.52 (95% confidence interval (CI) = 0.34–0.79) for occasional PA, 0.47 (95% CI = 0.30–0.74) for light PA, 0.51 (95% CI = 0.32–0.82) for moderate PA, and 0.44 (95% CI = 0.29–0.65) for moderately vigorous or vigorous PA (P for linear trend = .004). Adjustment for established and novel risk markers somewhat attenuated HRs and abolished linear trends. Compared with men who remained inactive, men who maintained at least light PA had an HR for CHD events of 0.73 (95% CI = 0.53–1.02) and men whose PA level increased had an HR of 0.86 (95% CI = 0.55–1.35).

Conclusion

Even light PA was associated with significantly lower risk of CHD events in healthy older men, partly through inflammatory and hemostatic mechanisms and cardiac function (NT-proBNP).

Keywords: physical activity, CHD, inflammation, NT-proBNP, older adults, prospective cohort


Coronary heart disease (CHD) rates rise rapidly with age, so there is a pressing need to understand the effect of modifiable behaviors such as physical activity (PA) for primary prevention of CHD in older adults. This is particularly important because PA declines to low levels in older age,1 and (in contrast with middle age) the quantity and intensity of PA required for primary prevention of CHD in older adults remains unclear.2 A recent meta-analysis concluded that the most-active adults were at 30% to 35% lower risk of CHD and that those who were moderately active were at 20% to 25% lower risk of developing CHD than those who were the least active,2 but data on older adults are sparse. Only two of the 30 studies included participants with median age of 65 and older at baseline, yet in the INTERHEART study, PA was found to protect against CHD more strongly in older than in younger men.3 Furthermore, in older age, the role of established (blood pressure, lipids, adiposity) and novel risk factors as mediators between PA and CHD is not clear. C-reactive protein (CRP), a marker of inflammation that is particularly strongly linked to fatal CHD in older adults,4 von Willebrand factor (vWF), a marker of endothelial dysfunction; D-dimer, a marker of fibrinolytic activity; and N-terminal pro-brain natriuretic peptide (NT-proBNP), a marker of cardiac injury, are all associated with PA levels58 and prospectively associated with CHD911 or cardiovascular disease (CVD)6 and heart failure12 in healthy older adults. Given that levels of these markers rise with age, they may be important mediators between PA and CHD risk at older ages. There is some evidence that inflammation is an important mediator between PA and composite end points (including myocardial infarction (MI), coronary revascularization, stroke, and heart failure),13,14 but the mediating role of other markers is less clear. Associations between habitual PA and onset of CHD in healthy community-dwelling older men, whether changes in PA levels in later life are associated with onset of CHD, and the pathways linking PA to CHD were therefore examined. All-cause mortality was also examined as an end point.

Methods

The British Regional Heart Study is a prospective cohort of 7,735 men aged 40 to 59 in 1978 to 1980 recruited from a single primary care center in each of 24 British towns. Men were followed up for cardiovascular morbidity and all-cause mortality. At age 56 to 74 (in 1996), men completed a postal questionnaire that collected detailed medical history and social, demographic, and health behavior data. At age 60 to 79 (in 1998–2000), 4,252 participants attended for follow-up measurements (77% response rate)15 and completed further questionnaires. Nurses took anthropometric measures and an electrocardiogram (including resting heart rate) and recorded blood pressure and lung function (forced vital capacity (FVC) and forced expiratory volume in 1 second (FEV1)).15 Chronic obstructive airway disease was defined as a ratio of FEV1 to FVC of less than 0.70. Fasting venous blood samples were collected and analyzed for lipids, vitamin C, and creatinine.16,17 Estimated glomerular filtration rate (eGFR) was estimated from serum creatinine using the Modification of Diet in Renal Disease equation,18 and participants with an eGFR less than 60 were categorized as having chronic kidney disease. Plasma levels of D-dimer and vWF antigen were measured using enzyme-linked immunosorbent assays, and CRP was assayed using ultrasensitive nephelometry. NT-proBNP was measured using the electrochemiluminescence method.6 Presence of depression was identified according to current antidepressant use reported in questionnaires (British National Formulary Code 4.3). Preexisting physician-diagnosed CHD, stroke, or diabetes mellitus (DM) was identified from questionnaire data and general practitioner records according to whether men reported that a doctor had ever told them that they had angina pectoris or MI (heart attack, coronary thrombosis), stroke, “other heart trouble,” or DM in 1998 to 2000 or had had a major nonfatal MI or stroke event or been diagnosed with DM, based on the regular surveillance of general practitioner's records. Prevalent DM was defined as doctor diagnosis of DM or fasting glucose of 7 mmol/L or greater (World Health Organization (WHO) criteria) at the 1998 to 2000 examination. Nine hundred twenty-eight individuals with a history of doctor-diagnosed CHD, stroke, or heart failure and five nonambulatory individuals were excluded to reduce the risk of reverse causality. All relevant local research ethics committees provided ethical approval, and all men provided informed written consent to the investigation.

Physical Activity

In 1996 and in 1998 to 2000, men self-reported usual PA under the headings of regular walking or cycling, recreational activity, and sporting (vigorous) activity. Regular walking and cycling related to weekday journeys that included travel to and from work. Recreational activity included gardening, pleasure walking, and do-it-yourself jobs. Sporting activity included running, golf, swimming, tennis and sailing. A PA score (validated in relation to heart rate and FEV15,19) was derived for each man. Scores were assigned for each type of activity and duration on the basis of the intensity and energy demands of the activities reported based on Minnesota intensity codes. Men were categorized into six groups based on their total score: inactive (0–2); occasional (3–5), regular walking or recreational activity only; light (6–8), more frequent recreational activities, sporting exercise less than once per week, or regular walking plus some recreational activity; moderate (9–12), cycling or very frequent weekend recreational activities plus regular walking or sporting activity once per week; moderately vigorous (13–20), sporting activity at least once per week or frequent cycling plus frequent recreational activities or walking or frequent sporting activities only; and vigorous (>21), very frequent sporting exercise or frequent sporting exercise plus other recreational activities. The moderately vigorous and vigorous groups were combined because of low numbers of CHD events in these groups. The total score for each man is not a measure of total time spent doing PA but a relative measure of how much PA has been performed.

CHD Mortality and Morbidity

All men were followed up for all-cause mortality and first fatal or nonfatal MI occurring between the 1998 to 2000 survey and June 2010. All deaths were ascertained through the National Health Services Central Registers, MI deaths were those with death certificates with International Classification of Disease (ICD), Ninth Revision, codes 410 to 414 and ICD, Tenth Revision, codes I21 to I23 and I252. Nonfatal events were recorded from reviews every 2 years of primary care notes (which include correspondence and diagnoses from secondary care).15 MI was reported as heart attack or coronary thrombosis, diagnosed in accordance with WHO criteria.20

Statistical Methods

Means, medians, or proportions of behavioral and demographic factors selected a priori were calculated according to usual PA level in 1998 to 2000. Trends across the five PA categories were tested using linear regression models for continuous variables and chi-square tests for categorical variables.

Cox regression models were used to estimate associations between 1998 to 2000 PA score and CHD risk or all-cause mortality. Survival times were censored at date of MI, death from any cause, or end of follow-up period, whichever occurred first. The time origin was date of examination in 1998 to 2000. The HRs for categories of PA in 1998 to 2000 were estimated, and then trends were tested using the continuous PA score, adjusted for age and region of residence. Models were adjusted for covariates associated with CHD risk and PA: first established social and behavioral risk factors, then biological risk markers, then markers of inflammation and coagulation (CRP, vWF, D-dimer), and then NT-proBNP were added sequentially. In sensitivity analyses, the first 2 years of follow-up were excluded. Population attributable risk percentage was calculated as (Pe (RRe − 1)/[1 + Pe (RRe − 1)]) × 100 using the hazard ratio (HR) comparing none or occasional PA with light or more as RRe and the prevalence of no or occasional activity as Pe.

To investigate changes in PA levels between 1996 and 1998 to 2000, the lowest two categories (none and occasional activity) were compared with the highest four (light through vigorous activity). Men in the lower PA groups walked regularly or participated in some recreational activity, in the more-active groups (from light upward), they participated in these activities more frequently, as well as some kind of sporting exercise. Means, medians, or proportions of behavioral and demographic factors selected a priori were calculated according to change in PA level. Cox regression models were used to estimate associations between change in PA level from 1996 to 1998 to 2000 and risk of CHD or mortality, following the same analysis plan as for PA in 1998 to 2000.

Results

In 1998 to 2000, of 4,252 men aged 60 to 79 who attended their primary care center for rescreen as part of the established British Regional Heart Study,15 4,097 (96%) reported complete questionnaire data on usual PA levels. Nine hundred twenty-eight participants with a history (self-report of physician diagnosis or medical record) of CHD, stroke, or heart failure and a further five participants who used a wheelchair were excluded, leaving an analysis sample of 3,320 men. Of the 3,320 men, mean age at rescreen (1998–2000) was 68.3 ± 5.4. There were 303 first (fatal or nonfatal) CHD events during a median follow-up of 10.9 years (32,070 person-years, 9.4 cases per 1,000 person-years), to June 2010, and 184 fatal CHD events during a median follow-up of 11.0 years (32,712 person-years, 5.6 cases per 1,000 person-years).

PA Levels and Their Correlates

The prevalence of PA is reported in Table 1. More-active men were more likely to be from a nonmanual social class and to drink 15 U/wk of alcohol or more and less likely to smoke. They had lower prevalence of chronic obstructive pulmonary disease (COPD) and diabetes mellitus; lower mean body mass index (BMI) and waist circumference; lower fasting triglyceride, total cholesterol, CRP, vWF, D-dimer, and NT-proBNP levels; and higher plasma vitamin C, FEV1, and high-density lipoprotein cholesterol levels.

Table 1.

Characteristics of Men According to Physical Activity Score (N = 3,320 Men without Preexisting Coronary Heart Disease, Stroke, or Diabetes Mellitus)

Characteristic N None, n = 310 Occasional, n = 764 Light, n = 640 Moderate, n = 514 Moderately Vigorous and Vigorous, n = 1,092 P (Trend)
Age 3,320 69.6 68.8 68.5 67.6 67.9 <.001
Manual social class, n (%) 3,113 170 (55) 403 (53) 353 (55) 265 (52) 463 (42) <.001
>15 U/wk of alcohol, n (%) 3,246 39 (13) 119 (16) 92 (15) 91 (18) 178 (17) <.001
Current smoker, n (%) 3,316 71 (23) 110 (14) 92 (14) 63 (12) 95 (9) <.001
Use of antidepressants, n (%) 3,320 16 (5) 26 (3) 14 (2) 13 (3) 25 (2) .05
Plasma vitamin C, μmol/L, geometric mean 3,090 18.2 20.1 22.2 22.2 24.5 <.001
Body mass index, kg/m2, meana 3,311 27.9 27.0 26.6 26.7 26.5 <.001
Waist circumference, cm, meana 3,304 100.7 98.0 96.7 96.7 95.1 <.001
Total cholesterol, mmol/L, mean 3,170 5.9 6.0 6.1 6.1 6.1 .19
High-density lipoprotein cholesterol, mmol/L, mean 3,150 1.3 1.3 1.3 1.3 1.4 <.001
Triglycerides, mmol/L, geometric meanb 3,169 0.5 0.5 0.5 0.4 0.4 <.001
Systolic blood pressure, mmHg, meana,b 3,307 150.4 150.8 150.8 148.3 149.5 .149
Diastolic blood pressure, mmHg, meana,b 3,307 84.6 85.5 86.4 85.6 85.7 .619
Forced expiratory volume in 1 second, L, meana,c 3,187 2.0 2.1 2.2 2.4 2.4 <.001
Diabetes mellitus, n (%) 3,320 47 (15) 95 (12) 70 (11) 38 (7) 95 (9) .001
Chronic obstructive pulmonary disease, n (%) 3,297 86 (28) 212 (28) 181 (28) 107 (21) 236 (22) <.001
Heart rate, beats/min, mean 3,312 70.0 67.2 66.5 64.6 63.6 <.001
Estimate glomerular filtration rate, mean 3,172 71.9 72.5 73.3 73.9 73.4 .06
Renal dysfunction, n (%) 3,127 47 (16) 94 (13) 65 (11) 48 (10) 102 (10) .02
C-reactive protein, mg/L, geometric mean 3,186 2.7 1.8 1.6 1.5 1.3 <.001
von Willebrand factor, IU/dL, mean 3,208 151.6 139.2 134.8 135.1 133.5 <.001
D-dimer, ng/mL, geometric mean 3,207 109.9 90.0 81.5 73.7 73.7 <.001
N-terminal pro-brain natriuretic peptide, pg/mL, geometric mean 2,986 121.5 90.0 90.0 81.5 73.7 <.001
a

Adjusted for interobserver variation.

b

Adjusted for time of day.

c

Adjusted for height squared.

PA and CHD Morbidity and Mortality

The HRs for CHD decreased with increasing PA level (P linear trend = .004, Table 2). Compared with men reporting no usual leisure time PA, men reporting occasional, light, moderate, and moderately vigorous or vigorous activity had age- and region-adjusted HRs for first CHD event of 0.52 (95% CI = 0.34–0.79), 0.47 (95% CI = 0.30–0.74), 0.51 (95% CI = 0.32–0.82) and 0.44 (95% CI = 0.29–0.65), respectively. The greatest incremental benefit was from occasional activity. Rerunning models with occasional activity as the reference group did not show evidence of further benefit for more-vigorous activities (data not shown). Adjustment for established behavioral and biological risk factors, including diabetes mellitus, renal function, and depression (Table 2, Model 2), attenuated the associations to a small degree, but the linear trend remained. Further adjustments for CRP, D-dimer, and vWF (Model 3) and NT-proBNP (Model 4) minimally reduced the estimates, and the strong protective effect of PA against CHD events remained, although the linear trend was no longer evident after adjustment for NT-proBNP. Similar patterns were observed for fatal CHD events. The age- and region-adjusted HRs for fatal CHD decreased with increasing PA levels, (P for linear trend <.005), (Table 2). For fatal CHD, the greatest incremental benefit was from light activity. Rerunning models with occasional activity as baseline did not show evidence of further benefit from moderately vigorous and vigorous activity (data not shown). Adjustments for CRP, D-dimer, and vWF (Model 3) and NT-proBNP (Model 4) minimally reduced the estimates, and the linear trends were attenuated. The data for all-cause mortality showed a similar pattern to first CHD events, with increasing level of PA strongly protective against mortality. Adjustment for COPD rather than FEV1 did not change the pattern of results (data not shown).

Table 2.

Risk of Coronary Heart Disease (CHD) Mortality in Men According to Physical Activity Score: 1998–2000

Outcome None, n = 233 Occasional, n = 604 Light, n = 502 Moderate, n = 407 Moderately Vigorous and Vigorous, n = 895 Total, N = 2,641 P (Trend)
First CHD event (fatal or nonfatal)
 CHD fatal or nonfatal events, n 37 55 43 35 66 236
 CHD event rate/1,000 18.9 9.5 8.7 8.6 7.4 9.2
 HR (95% CI)
  Model 1 1 0.52 (0.34–0.79) 0.47 (0.30–0.74) 0.51 (0.32–0.82) 0.44 (0.29–0.65) .004
  Model 2 1 0.53 (0.34–0.81) 0.48 (0.31–0.75) 0.55 (0.34–0.89) 0.48 (0.31–0.73) .02
  Model 3 1 0.54 (0.35–0.83) 0.50 (0.32–0.78) 0.57 (0.36–0.93) 0.50 (0.33–0.76) .04
  Model 4 1 0.53 (0.35–0.81) 0.50 (0.32–0.78) 0.57 (0.35–0.92) 0.51 (0.33–0.78) .05
Fatal CHD
 CHD fatal events, n 21 39 23 19 34 136
 CHD mortality/1,000 10.3 6.6 4.5 4.5 3.7 5.1
 HR (95% CI)
  Model 1 1 0.68 (0.40–1.16) 0.46 (0.26–0.84) 0.55 (0.29–1.02) 0.43 (0.25–0.75) .005
  Model 2 1 0.73 (0.42–1.25) 0.51 (0.28–0.94) 0.67 (0.35–1.27) 0.52 (0.29–0.92) .04
  Model 3 1 0.78 (0.45–1.36) 0.57 (0.31–1.05) 0.74 (0.39–1.41) 0.58 (0.33–1.03) .09
  Model 4 1 0.76 (0.44–1.32) 0.57 (0.31–1.05) 0.73 (0.38–1.39) 0.61 (0.34–1.08) .14
All-cause mortality
  Deaths, n 110 192 118 88 202 710
  Mortality/1,000 54.1 32.7 23.3 21.1 22.2 27.0
 HR (95% CI)
  Model 1 1 0.61 (0.48–0.77) 0.43 (0.33–0.56) 0.44 (0.33–0.59) 0.45 (0.35–0.57) <.001
  Model 2 1 0.67 (0.53–0.85) 0.49 (0.38–0.65) 0.53 (0.40–0.71) 0.57 (0.45–0.73) <.001
  Model 3 1 0.71 (0.56–0.91) 0.55 (0.42–0.71) 0.58 (0.43–0.78) 0.63 (0.49–0.81) .003
  Model 4 1 0.69 (0.54–0.88) 0.52 (0.40–0.68) 0.56 (0.42–0.75) 0.63 (0.49–0.80) .004

Model 1 = age and region.

Model 2 = model 1 plus alcohol intake, smoking history, plasma vitamin C, social class, total cholesterol, high-density lipoprotein cholesterol, triglycerides, systolic blood pressure, waist circumference, forced expiratory volume in 1 second, estimated glomerular filtration rate, depression, and diabetes mellitus.

Model 3 = Model 2 plus C-reactive protein, von Willebrand factor, and D-dimer.

Model 4 = Model 2 plus N-terminal pro-brain natriuretic peptide.

HR = Hazard Ratio; CI = Confidence Interval.

Change in PA Level and CHD Risk

Ninety percent (2,715/3,008) of men included in analyses of PA in 1998 to 2000 had also reported PA levels in a questionnaire 4 years earlier, in 1996; 22% were consistently inactive (did no or only occasional PA) in 1996 and 1998 to 2000, 55% were consistently active (light, moderate, or more-vigorous habitual PA) in 1996 and 1998 to 2000, 14% participated in at least light activity (light, moderate, or more-vigorous PA), and 9% who were active in 1996 had become inactive by 1998 to 2000 (Table 3). Compared to men who were inactive at both times, men who had become active by 1998 to 2000 or were active at both times were younger and more likely to be from a nonmanual social class, drink alcohol regularly, never smoke, not use antidepressants, not have COPD or chronic kidney disease. They were more likely to have higher plasma vitamin C levels; lower BMI, waist circumference and, heart rate; lower triglyceride, CRP, vWF, D-dimer, and NT-proBNP levels; and higher FEV1 and eGFR.

Table 3.

Associations Between Changes in Physical Activity Score Between 1996 and 2000 and Demographic Variables (N = 3,001)

Characteristic Total, n Inactive at Both Times Became Inactive by 1998–2000 Became Active by 1998–2000 Active at Both Times P (Linear Trend)
Participants, n (%) 3,001 680 (22) 274 (9) 411 (14) 1,636 (55)
Age, mean 3,001 68.7 69.0 67.9 67.9 <.001
Manual social class, n (%) 2,995 342 (51) 149 (54) 231 (56) 728 (45) <.001
>15 U/wk of alcohol, n (%) 2,929 98 (15) 47 (18) 55 (14) 272 (17) <.001
Current smoker, n (%) 2,997 109 (16) 40 (15) 53 (13) 159 (10) <.001
Current use of antidepressants, n (%) 3,001 33 (5) 5 (2) 9 (2) 39 (2) .005
Vitamin C, μmol/L, geometric mean 2,796 20.49 20.70 22.65 24.05 .001
Body mass index, kg/m2 2,994 27.34 27.08 26.87 26.45 <.001
Waist circumference, cma 2,987 99.02 97.84 97.04 95.65 <.001
Total cholesterol, mmol/L 2,866 6.03 6.09 6.05 6.09 .21
High-density lipoprotein cholesterol, mmol/L 2,850 1.30 1.34 1.33 1.35 .00
Triglycerides, mmol/L, geometric meanb 2,865 0.54 0.42 0.46 0.45 .01
Systolic blood pressure, mmHga,b 2,989 150.2 151.0 149.0 149.7 .57
Diastolic blood pressure, mmHga,b 2,989 85.2 85.2 85.5 86.0 .08
Forced expiratory volume in 1 second, La,c 2,884 2.12 2.18 2.28 2.37 <.001
Diabetes mellitus, n (%) 3,001 100 (15) 29 (11) 42 (10) 142 (9) <.001
Chronic obstructive pulmonary disease, n (%) 2,983 187 (28) 76 (28) 113 (28) 365 (22) .007
Heart rate, beats/min 2,993 67.9 68.1 65.3 64.5 <.001
Estimated glomerular filtration rate 2,868 72.4 72.3 72.7 73.5 .03
Chronic kidney disease, n (%) 2,825 89 (14) 31 (12) 49 (13) 146 (9) .01
C-reactive protein, mg/L, geometric mean 2,882 2.10 1.93 1.67 1.39 <.001
von Willebrand factor, IU/dL 2,903 142.3 139.7 139.7 132.2 <.001
D-dimer, ng/mL, geometric mean 2,902 90.0 90.9 77.5 73.0 <.001
N-terminal pro-brain natriuretic peptide, pg/mL, geometric mean 2,705 90.9 99.5 84.8 76.7 <.001

Inactive = no or occasional usual physical activity; active = light, moderate, moderately vigorous, or vigorous physical activity, reported at 1996 and 1998 to 2000.

a

Adjusted for interobserver variation.

b

Adjusted for time of day.

c

Adjusted for height squared.

Compared with the baseline group (inactive at both times), HRs for CHD events for men who became inactive were similar to HRs for CHD events for those who remained inactive (HR = 0.87, 95% CI = 0.53–1.45), and likewise for men who became active (HR = 0.86, 95% CI = 0.55–1.35), there was a trend toward protection for men who remained active at both times (HR = 0.73, 95% CI = 0.53–1.02) (Table 4). Equivalent values for fatal CHD were 0.58 (95% CI = 0.29–1.17), 0.67 (95% CI = 0.37–1.21), and 0.58 (95% CI = 0.38–0.89), respectively. Adjustment for established risk factors (Model 2) attenuated the HR for remaining active compared with remaining inactive, but the direction of the estimate toward lower risk remained evident even with adjustments for CRP, D-dimer, and vWF (Model 3) or NT-proBNP (Model 4). For all-cause mortality the HR for events in men who became less active was similar to the HR for events of men who remained inactive. There was a protective effect in men who became more active (HR = 0.65, 95% CI = 0.50–0.85) and in men who remained consistently active (HR = 0.62, 95% CI = 0.51–0.74), adjusted for age and region, which was robust to adjustment in Model 2 and was little attenuated further by addition of CRP, vWF, and D-dimer (Model 3) or NT-proBNP (Model 4). Adjustment for COPD rather than FEV1 did not change the pattern of results (data not shown).

Table 4.

Risk of Coronary Heart Disease (CHD) Mortality in Men According to Change in Physical Activity Score Between 1996 and 2000

Outcome Inactive at Both Times, n = 525 Became Inactive by 1998–2000, n = 221 Became Active by 1998–2000, n = 331 Active at Both Times, n = 1,316 Total, N = 2,393
First CHD event (fatal or nonfatal)
 CHD fatal or nonfatal events, n 54 21 30 101 206
 CHD event rate/1,000 11.0 10.1 9.3 7.7 8.8
 HR (95% CI)
  Model 1 1 0.87 (0.53–1.45) 0.86 (0.55–1.35) 0.73 (0.53–1.02)
  Model 2 1 0.84 (0.51–1.41) 0.90 (0.57–1.42) 0.78 (0.55–1.09)
  Model 3 1 0.84 (0.50–1.41) 0.92 (0.58–1.44) 0.79 (0.56–1.12)
  Model 4 1 0.87 (0.52–1.46) 0.92 (0.59–1.45) 0.81 (0.58–1.15)
Fatal CHD
 CHD fatal events, n 36 10 16 52 114
 CHD mortality/1,000 7.2 4.7 4.8 3.9 4.8
 HR (95% CI)
  Model 1 1 0.58 (0.29–1.17) 0.67 (0.37–1.21) 0.58 (0.38–0.89)
  Model 2 1 0.56 (0.27–1.15) 0.71 (0.39–1.29) 0.66 (0.42–1.03)
  Model 3 1 0.57 (0.28–1.16) 0.75 (0.41–1.37) 0.71 (0.45–1.11)
  Model 4 1 0.61 (0.30–1.25) 0.74 (0.41–1.36) 0.75 (0.48–1.17)
All-cause mortality
 Deaths, n 185 70 80 295 630
 Deaths/1,000 37.2 32.7 24.0 22.0 26.4
 HR (95% CI)
  Model 1 1 0.81 (0.62–1.07) 0.65 (0.50–0.85) 0.62 (0.51–0.74)
  Model 2 1 0.79 (0.60–1.05) 0.71 (0.54–0.93) 0.70 (0.58–0.85)
  Model 3 1 0.81 (0.61–1.07) 0.74 (0.57–0.97) 0.75 (0.61–0.90)
  Model 4 1 0.82 (0.62–1.09) 0.73 (0.56–0.96) 0.75 (0.62–0.91)

Model 1 = age and region.

Model 2 = Model 1 plus alcohol intake, smoking history, plasma vitamin C, social class, total cholesterol, high-density lipoprotein cholesterol, triglycerides, systolic blood pressure, waist circumference, forced expiratory volume in 1 second, estimated glomerular filtration rate, depression, and diabetes mellitus.

Model 3 = Model 2 plus C-reactive protein, von Willebrand factor, and D-dimer.

Model 4 = Model 2 plus N-terminal pro-brain natriuretic peptide.

HR = Hazard Ratio; CI = Confidence Interval.

In sensitivity analyses, conclusions were not altered when the first 2 years of follow-up were excluded. If the 30.1% of men performing no or occasional activity were light or more-active, the population attributable risk percentage would be a 14% reduction in CHD deaths and 13% in all-cause mortality.

Discussion

This population-based study of healthy older men found that men who reported even light PA in later life had an approximately 50% lower risk of fatal or nonfatal CHD events than inactive men. There was little evidence of further protection from more-intense PA levels. There was a tendency for lower risk of fatal CHD in men who increased their habitual PA levels from occasional to at least light activity and clearer evidence of substantially lower risk of fatal CHD in those who were active (light or more intense activity) at both times than in those who remained inactive in later life (between the ages of late 50s and 70s). Associations between PA and CHD were robust to adjustment for important established demographic, behavioral, and biological risk factors. There was little evidence that novel biomarkers of inflammation and fibrinolytic activity or cardiac injury were important mediators of the association between PA and nonfatal CHD, although there was some evidence that they mediated the association between PA and fatal CHD events and all-cause mortality. This study is one of few prospective cohort studies relating PA in later life and change in PA to CHD risk in older adults. It extends prior findings from largely middle-aged population samples into an older age group and adds new information about mediating pathways between PA and CHD risk.

PA at One Time Point in Later Life: Relationship to CHD Risk

Most evidence about the shape of the dose-response curve between PA and CHD relates to middle-aged rather than older adults.2 In the current sample of older adults, potentially beneficial effects of even occasional and light PA on risk of fatal or nonfatal CHD were found and that the greatest incremental benefits may accrue from light activity. Occasional PA in the current study included regular walking and some recreational activity but not vigorous sporting activity. The results fit with recent evidence that lighter activities are protective against CHD, suggesting that some activity is better than none.2 Light activity or more was associated with approximately half the risk of CHD mortality and morbidity, which was estimated as greater than 30% to 35% in a systematic review largely using data from middle-aged adults.2 Associations with nonfatal CHD were of similar magnitude to those reported in the British Regional Heart Study cohort when they were 20 years younger, although the benefits from moderate and moderate to vigorous activity may be somewhat stronger in middle age.19 Regular walking has been associated with halving the risk of CHD events in elderly men21 and women,22 and 40% less CVD mortality was reported for older adults performing more than 30 minutes of activity per day (including low-intensity stretching exercises and walking slowly) than for those performing none.23 PA has substantial potential to reduce avoidable CHD deaths in elderly adults; in the current sample, if those who were less active became at least light active (regular daily walking and some recreational activity, e.g., gardening, yard work, household chores), a 14% reduction in CHD mortality would be expected.

Changes in PA in Later Life: Relationship to CHD Risk

In the present study, men who remained active and those who became active had lower CHD risk (particularly for fatal events) than those who remained or became inactive. A protective effect of increasing PA level in older age on all-cause or CHD mortality is reported in a few studies of general populations,2427although not all report conclusive findings.28 An investigation of this cohort when younger found that increasing PA levels during middle age or maintaining at least light activity was associated with lower all-cause and CVD mortality than persistently low activity levels.29

Pathways

The association between PA and fatal CHD operated through established risk factors, consistent with expectations from studies of middle-aged adults,19 but their explanatory power was small, suggesting that PA affects CHD risk in older adults by other means. Previous studies suggest that inflammatory markers may play an important role in mediating the effects of PA on CHD in middle-aged populations,13,14,30 and the current study found that adjustment for CRP, vWF, and D-dimer (which have previously been linked to CHD risk4,911,31 and PA levels5,32) partially explained associations between PA and CHD. NT-proBNP was included to indicate presence of cardiac injury and level of cardiac function. Some evidence was found that NT-proBNP may be important in explaining the onset of fatal CHD events, which fits with other evidence linking NT-proBNP more strongly to CHD mortality than morbidity.6

Strengths and Limitations

This study benefits from prospective data with high follow-up rates, validated MI events, and a PA score validated against biological measures (e.g., FEV1 and heart rate5,19). The mediating role of a wide range of established and novel biological risk factors that may be on the causal pathway between activity and CHD risk was investigated. The possibility of residual confounding cannot be excluded, but many important behavioral and social confounders were adjusted for. To reduce risks of reverse causality, men with preexisting CHD, stroke, or heart failure or limited mobility were excluded because they have high risk of mortality and are likely to limit their PA because of their prior health, and the first 2 years of follow-up were excluded in a sensitivity analysis. The data about PA at more than one time point in later life enabled investigation of how changes in PA were related to incidence of CHD, although small numbers of CHD events in one of the change groups were a limitation. Data were lacking on cardiorespiratory and muscular fitness, which are shown to be related to onset of CVD and to CVD risk factors.3335 The current study was limited to healthy men, so results cannot be generalized to older women or those with preexisting CVD, although the sample was socioeconomically representative of older men in the United Kingdom and had exceptionally high follow-up rates.

In an observational study, it is not possible to establish causality of the associations observed between PA and CHD, but men with prevalent CHD, stroke, and heart failure were excluded to minimize the chance that any findings were due to men reducing their PA levels because of presence of disease (reverse causality). The analyses were adjusted for a wide range of confounding factors, and data on PA at more than one time point in later life were also included, which enabled how changes in PA were related to incidence of CHD to be examined, which gives a stronger level of evidence than using PA from just one time point. Finally, the findings suggesting that PA may protect against onset of CHD morbidity and total mortality fit with a large body of research (clinical and observational) that suggests that PA protects against onset of CHD.36

Conclusion

PA in later life is potentially important in primary prevention of CHD and all-cause mortality in older men. Even very modest levels of PA were associated with approximately half the risk of CHD morbidity and all-cause mortality, in part mediated by the beneficial effects on adiposity and blood lipids, inflammatory and hemostatic mechanisms, and cardiac injury (NT-proBNP). Taking up PA in later life was associated with approximately one-third lower risk of all-cause mortality, although strong evidence of reduction in CHD events was not found (although numbers were low). There was some evidence that remaining active in later life protected against CHD and all-cause mortality. Promotion of PA in later life is therefore important. Preventing the age-related declines in PA levels observed in many populations could markedly reduce CHD risk in older adults, who are a high-risk group.

Acknowledgments

We acknowledge the British Regional Heart Study team for collecting the data. The views expressed in this publication are those of the authors and not necessarily those of the National Health Service, the National Institute for Health Research (NIHR), or the Department of Health.

Oral presentation at 8th World Congress on Ageing and Physical Activity, Glasgow, UK, August 2012.

NIHR Post-Doctoral Fellowship (2010–03–023). BHF Programme Grant RG/08/013/25942.

Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper.

Author Contributions: Barbara J. Jefferis conceived, designed, and performed the analyses and drafted the manuscript and approved it for publication. Peter H. Whincup acquired the data, conceived the study design, interpreted the analyses, revised the manuscript, and approved it for publication. Lucy T. Lennon and Olia Papacosta acquired and cleaned the data and revised the manuscript and approved it for publication. S. Goya Wannamethee acquired the data, conceived the study design, interpreted the analyses, revised the manuscript, and approved it for publication.

Sponsor's Role: The sponsor had no role in the design, methods, subject recruitment, data collections, analysis, or preparation of the paper.

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