Table 12.
Publication Country Study Design Quality Score | Objective | Population | Methods | Outcome | Comments and Conclusions |
---|---|---|---|---|---|
Paffenbarger and Hale 1975 [47] | To evaluate the role of PA in reducing coronary mortality among longshoreman | • n = 6,351 | 22 years of follow up, or until reached the age of 75 yr | RR (95% CI) Sudden death | VPA is associated with reduced risk of coronary mortality, particularly sudden cardiac death. |
USA | • Sex: Men | • G1 = 1.00 (referent) | |||
• Age: 35-74 yr | • G2 = 3.5 | ||||
• Characteristics: Longshoreman | PA assessment: Energy and oxygen cost requirements of longshoring jobs | • G3 = 2.8 | |||
Prospective cohort | Delayed death | ||||
• G1 = 1.00 (referent) | |||||
D & B score = 12 | • G2 = 1.4 | ||||
Activity level | • G3 = 1.5 | ||||
G1 = Heavy (5.2-7.5 kcal/min) | Unspecified death | ||||
G2 = Moderate (2.4-5.0 kcal/min) | • G1 = 1.00 (referent) | ||||
G3 = Light (1.5-2.0 kcal/min) | • G2 = 1.1 | ||||
• G3 = 1.6 | |||||
Outcome measure: Death from CHD | |||||
Manson et al 2002 [56] | To compare the roles of walking and vigorous exercise in the prevention of CV events in a large, ethnically diverse cohort of postmenopausal women. | • n = 73,743 | Enrolment from 1994-98 Clinic visit for baseline screening, | • Number of New Cases: 345 | Both walking and VPA are associated with substantial reductions in the incidence of CHD events. |
USA | • Sex: Women | • Total Number of CVD events: 1551 | |||
• Age: 50-79 yr | |||||
• Characteristics: Healthy, Post Menopausal | Age adjusted RR (95% CI) Total exercise (MET-hr/wk) | ||||
PA assessment: Questionnaire for: Total exercise (MET- hr/wk) | |||||
Prospective cohort | G1 = 0-2.4 | • G1 = 1.00 (referent) | |||
• Women's Health Initiative Observational Study | G2 = 2.5-7.2 | • G2 = 0.73 (0.53-0.99) | |||
G3 = 7.3-13.4 | • G3 = 0.69 (0.51-0.95) | ||||
D & B score = 12 | G4 = 13.5-23.3 | • G4 = 0.68 (0.50-0.93) | |||
G5 = ≥ 23.4 | • G5 = 0.47 (0.33-0.67) | ||||
p = <0.001 | |||||
Walking (MET-hr/wk) | |||||
Walking (MET-hr/wk) | • G1 = 1.00 (referent) | ||||
G1 = None | • G2 = 0.71 (0.53-0.96) | ||||
G2 = 0.1-2.5 | • G3 = 0.60 (0.44-0.83) | ||||
G3 = 2.6-5.0 | • G4 = 0.54 (0.39-0.76) | ||||
G4 = 5.1-10.0 | • G5 = 0.61 (0.44-0.84) | ||||
G5 > 10 | p = 0.004 | ||||
Time for VPA (min) | Vigorous exercise | ||||
G1 = None | • G1 = 1.00 (referent) | ||||
G2 = 1-60 | • G2 = 1.12 (0.79-1.60) | ||||
G3 = 61-100 | • G3 = 0.56 (0.32-0.98) | ||||
G4 = 101-150 | • G4 = 0.73 (0.43-1.25) | ||||
G5 = >150 | • G5 = 0.58 (0.34-0.99) | ||||
p = 0.008 | |||||
Outcome Measure: Incidence of CVD and CHD | |||||
Wisloff et al 2006 [58] | To study the association between the amount and intensity of exercise and CVD mortality. | • n = 56,072 (27,143 men; 28,929 women) | Length of follow-up: 16 ± 4 yr | • Number of Cases: 1,603 male, 993 female | Men and women who exercise to a moderate degree and spend less than the recommended energy (< 1000 kcal/wk) are at lower risk of dying from heart disease than those who never exercise. |
Norway | • Sex: Men and women | PA assessment: Questionnaire for LTPA, 4 groups | Multivariate RR (95% CI) | ||
Prospective cohort | • Age: ≥ 20 yr | Men | |||
• Characteristics: Free form CVD | Men | • Q1 = 1.00 (referent) | |||
Q1 = None | • Q2 = 0.66 (0.50-0.87) | ||||
D & B score = 12 | • HUNT study | Q2 = 1/wk >30 min high | • Q3 = 0.83 (0.65-1.06) | ||
Q3 = 2-3/wk > 30 min high | • Q4 = 0.77 (0.59-1.01) | ||||
Q4 = ≥ 4/wk > 30 min high | Women | ||||
• Q1 = 1.00 (referent) | |||||
Women | • Q2 = 0.63 (0.31-1.29) | ||||
Q1 = None | • Q3 = 0.66 (0.32-1.34) | ||||
Q2 = 1/wk ≤ 30 min low | • Q4 = 0.86 (0.45-1.62) | ||||
Q3 = 1/wk ≤ 30 min high | |||||
Q4 = 2-3/wk ≤ 30 min low | |||||
Outcome Measure: Ischaemic heart disease mortality | |||||
Cox proportional HR | |||||
Lee et al 2001 [59] | To examine the relationship between PA (specifically walking) and CHD among women, including those at high risk for CHD. | • n = 39,372 | Recruitment of Participants: Sept 1992-May 1995 | • Number of Cases: 244 | Even light to moderate activity is associated with lower CHD rates in women. |
USA and Puerto Rico | • Sex: Women | ||||
• Age: ≥ 45 yr | Multivariate RR (95% CI) Time spent walking | ||||
• Characteristics: Healthy | PA assessment: Questionnaires Divided into 4 or 5 groups: | • G1 = 1.00 (referent) | |||
• Women's Health Study | • G2 = 0.86 (0.57-1.29) | As little as 1 hour of walking per week predicted lower risk. | |||
Prospective cohort | • G3 = 0.49 (0.28-0.86) | ||||
• G4 = 0.48 (0.29-0.78) | |||||
p = <0.001 | |||||
D & B score = 12 | Time spent walking | ||||
G1 = No regular walking | Walking pace | ||||
G2 = 1-59 min/wk | • G1 = 1.00 (referent) | ||||
G3 = 1.0-1.5 h/wk | • G2 = 0.56 (0.32-0.97) | ||||
G4 = ≥ 2.0 h/wk | • G3 = 0.71 (0.47-1.05) | ||||
Walking pace (km/h) | • G4 = 0.52 (0.30-0.90) | ||||
G1 = No regular walking | p = 0.02 | ||||
G2 = 3.2 | |||||
G3 = 3.2-4.7 | |||||
G4 = ≥ 4.8 | EE (kcal/wk) | ||||
• Q1 = 1.00 (referent) | |||||
EE (kcal/wk) | • Q2 = 0.79 (0.56-1.12) | ||||
G1 = 200 | • Q3 = 0.55 (0.37-0.82) | ||||
G2 = 200-599 | • Q4 = 0.75 (0.50-1.12) | ||||
G3 = 600-1499 and | p = 0.03 | ||||
G4 = 1500 or more | |||||
Energy expended VPA (kcal/wk) | |||||
Energy expenditure for VPA (kcal/wk) | • G1 = 1.00 (referent) | ||||
G1 = No vigorous, <200 kcal/wk | • G2 = 0.65 (0.46-0.91) | ||||
G2 = No vigorous, ≥ 200 kcal/wk | • G3 = 1.18 (0.79-1.78) | ||||
• G4 = 0.96 (0.60-1.55) | |||||
• G5 = 0.63 (0.38-1.04) | |||||
G3 = Vigorous, 1-199 kcal/wk | |||||
G4 = Vigorous, 200-499 kcal/wk | |||||
G5 = Vigorous, ≥ 500 kcal/wk | |||||
Paffenbarger et al 1993 [67] | To analyze changes in the lifestyle of Harvard Alumni and the associations of these changes to mortality. | • n = 10,269 | Baseline measure in 1962 or 1967 with a follow up in 1977 | Alumni who increased their PA index to 2000 kcal or more per week had a 17% lower risk of death from CHD then those who were sedentary (p = 0.507) | Moderately vigorous sports activity was associated with lower rates of death from CHD among middle aged and older men |
• Sex: Men | |||||
• Age: 45-84 yr | |||||
USA | • Characteristics: Health, Harvard College Alumni | ||||
Prospective cohort | PA assessment: Mailed questionnaires included questions on type, duration, intensity, frequency of PA. | Men who took up moderate took up moderately vigorous activity had a 41% lower risk than those who continued not to engage in such activity (p = 0.044) | |||
D & B score = 13 | Outcome Measure: CHD deaths between 1977 and 1985 | ||||
Cox proportional hazards model | |||||
Poisson regression methods | |||||
The Mantel extension of the Mantel-Haenszel test | |||||
Haapanen et al 1997 [77] | To examine the association between duration and intensity of LTPA and the risk of CHD. | • n = 2,840 (1,500 men; 1,340 women) | Length of Follow-up: 10 yrs | • Incident Rates (per 1000 person-years) for CHD = 108 for men and 75 for women. | Total EE had an inverse and independent association with risk of CHD in middle aged Finnish men but not among women. |
Finland | • Sex: Men and women | PA assessment: Questionnaire for LTPA EE (kcal/wk) | Multivariate RR (95% CI) LTPA and CHD mortality | ||
Prospective cohort | • Age: 35-63 yr | Men | |||
• Characteristics: Healthy | Men | • G1 = 1.98 | |||
G1 = 0-1100 | • G2 = 1.33 | ||||
D & B score = 13 | G2 = 1101-1900 | • G3 = 1.00 (referent) | |||
G3 = >1900 | |||||
Women | |||||
Women | • G1 = 1.25 | ||||
G1 = 0-900 | • G2 = 0.73 | ||||
G2 = 901-1500 | • G3 = 1.00 (referent) | ||||
G3 = >1500 | |||||
Outcome Measure: CHD mortality | |||||
Cox proportional HR | |||||
Barengo et al 2004 [164] | To investigate whether moderate or high LTPA are associated with a reduced CVD and all-cause mortality, independent of CVD risk factors and other forms of PA in men and women. | • n = 31,677 (15,853 men; 16,824 women) | 20 year follow-up | • Number of Cases (Men): 1,661 | Moderate and high levels of LTPA and OPA are associated with reduced CVD mortality. |
PA assessment: Questionnaire for LTPA and OPA, 3 groups | • Number of Cases (Women): 778 | ||||
Finland | • Sex: Men and women | HR (95% CI) LTPA, men | |||
Prospective cohort | • Age: 30-59 | G1 = Low activity | • G1 = 1.00 (referent) | ||
• Characteristics: Participant from eastern and south-western Finland | G2 = Moderate activity | • G2 = 0.91 (0.82-1.00) | |||
D & B score = 14 | G3 = High activity | • G3 = 0.83 (0.69-0.99) | |||
LTPA, women (referent) | |||||
• G1 = 1.00 | |||||
• G2 = 0.83 (0.71-0.96) | |||||
• G3 = 0.89 (0.68-1.18) | |||||
OPA, men | |||||
• G1 = 1.00 (referent) | |||||
• G2 = 0.75 (0.64-0.87) | |||||
• G3 = 0.77 (0.69-0.87) | |||||
OPA, women | |||||
• G1 = 1.00 (referent) | |||||
• G2 = 0.73 (0.60-0.88) | |||||
• G3 = 0.77 (0.65-0.91) | |||||
Bijnen et al 1998 [166] | To describe the association between the PA pattern of elderly men and CHD mortality. | • n = 802 | Length of Follow-up: 10 | • Number of Cases: 90 | PA did not show a protective effect on death from CHD. |
• Sex: Men | |||||
• Age: 64-84 yr | PA assessment: Questionnaire, divided into 3 groups | RR (95% CI) | |||
Netherlands | • Characteristics: Free from Serious Illness | • G1 = 1.00 (referent) | |||
• G2 = 0.63 (0.38-1.05) | |||||
Prospective cohort | G1 = Lowest | • G3 = 0.85 (0.51-1.44) | |||
• Ethnicity: Dutch | G2 = Middle | ||||
• Zutphen Elderly Study | G3 = Highest | ||||
D & B score = 13 | Outcome Measure: CHD Mortality | ||||
Cox Proportional HR | |||||
Davey-Smith et al 2000 [174] | To examine the association between two measures of physical activity (LTPA and usual walking pace) with cause specific mortality (CHD). | • n = 6,702 | Length of Follow-up: 25 yrs | • Number of Cases: 955 | Inverse associations of both LTPA and walking pace with mortality from CHD were seen. |
• Sex: Men | |||||
• Age: 40-64 yr | RR (95% CI) by walking pace | ||||
England | • Whitehall Study | PA assessment: Questionnaire during examination for walking pace and LTPA | • G1 = 1.45 (0.9-2.2) | ||
• G2 = 1.30 (1.1-1.6) | |||||
Prospective cohort | • G3 = 1.00 (referent) | ||||
p < 0.01 | |||||
D & B score = 11 | Walking pace | Multivariate RR (95% CI) by LTPA level | |||
G1 = Slower | • G1 = 1.24 (1.0-1.5) | ||||
G2 = Same | • G2 = 0.94 (0.8-1.2) | ||||
G3 = Faster | • G3 = 1.00 | ||||
p < 0.05 | |||||
LTPA | |||||
G1 = Inactive | |||||
G2 = Moderate | |||||
G3 = Active | |||||
Outcome Measure: CHD Mortality | |||||
Cox Proportional HR | |||||
Eaton et al 1995 [175] | To determine whether self reported PA predicts a decreased risk of CHD. | • n = 8,463 (LTPA), 8,418 (OPA) | Length of Follow-up: 21 yrs | • Number of Cases: 709 | Baseline levels of self reported LTPA predicted a decreased rate of CHD. |
Age adjusted RR (95% CI) by LTPA level | |||||
USA | • Sex: Men | PA assessment: Interview | • G1 = 1.00 (referent) | ||
• Age: 40 yr | • G2 = 0.79 (0.63-0.99) | ||||
Prospective cohort | • Characteristics: Healthy, free of CHD | LTPA | • G3 = 0.73 (0.59-0.89) | ||
G1 = Sedentary | • G4 = 0.71 (0.52-0.98) | ||||
G2 = Light | |||||
D & B score = 11 | Ethnicity: Israeli | G3 = Light Daily | Age adjusted RR (95% CI) by OPA level | ||
G4 = Heavy | • G1 = 1.00 (referent) | ||||
• G2 = 0.99 (0.75-1.18) | |||||
OPA | • G3 = 0.94 (0.78-1.12) | ||||
G1 = Sitting | • G4 = 0.87 (0.67-1.10) | ||||
G3 = Walking | |||||
G4 = Physical Labour | |||||
Outcome Measure: CHD Death | |||||
Cox Proportional HR | |||||
Hillsdon et al 2004 [183] | To examine whether a short, easily administered measure of PA is associated with the risk of death from all causes and specific causes. | • n = 10,522 (4,929 men; 5,593 women) | Length of Follow-up: > 10 yrs | • Number of Cases: 155 | Self reported VPA is associated with the risk of future mortality. |
Multivariate RR (95% CI) by PA level | |||||
UK | • Sex: Men and women | PA assessment: Questionnaire, 3 groups: | • G1 = 1.00 (referent) | ||
• G2 = 0.46 (0.19-1.12) | |||||
Prospective cohort | • Age: 35-64 yr | G1 = Never / <1 time/month | • G3 = 0.96 (0.53-1.75) | ||
• Characteristics: no history of chest pain | |||||
G2 = <2 times/wk | |||||
D & B score = 11 | G3 = ≥ 2 times/wk | ||||
Outcome Measure: IHD mortality | |||||
Cox proportional HR | |||||
Leon et al 1997 [199] | To study the relationship of PA to CHD in a well defined population at above average risk for CHD over a 16 yr observation period. | • n = 12,138 | Follow up for 16 years | Age Adjusted RR (95% CI) | A relatively small amount (10-36 min/d) of daily moderate intensity LTPA can significantly reduce premature mortality from CHD in middle aged men at high risk for CHD. |
USA | • Sex: Men | • G1 = 1.00 (referent) | |||
• Age: 35-57 yr | PA assessment: Questionnaire at baseline (Minnesota LTPA questionnaire), divided/grouped into deciles of LTPA (min/d) | • G2 = 0.71 (0.56-0.91) | |||
• Characteristics: Free of CHD but in the upper 10-15% of a CHD probability risk score | • G3 = 0.75 (0.59-0.96) | ||||
• G4 = 0.69 (0.54-0.96) | |||||
Prospective cohort | Multivariate adjusted RR (95% CI) | ||||
• G1 = 1.00 (referent) | |||||
D & B score = 11 | G1 = D1: (0-9 min/d) | • G2 = 0.75 (0.54-0.96) | |||
Multiple risk factor intervention trial | G2 = D2-4: (10-36 min/d) | • G3 = 0.81 (0.64-1.04) | |||
G3 = D5-7: (37-75 min/d) | • G4 = 0.75 (0.59-0.96) | ||||
G4 = D8-10: (76-359 min/d) | |||||
Outcome Measure: CHD Mortality | |||||
Rosengren et al 1997 [211] | To examine the long term effect of OPA and LTPA on the risk of death from CHD. | • n = 7,142 | Length of Follow-up: 20 yrs | Number of Cases: 684 | There appears to be a protective effect of LTPA on CHD-related death. |
• Sex: Men | |||||
• Age: 47-55 yr | Multivariate RR (95% CI) for LTPA | ||||
Sweden | • Characteristics: Swedish men | PA assessment: Questionnaire for LTPA, 3 groups | • G1 = 1.00 (referent) | ||
• G2 = 0.84 (0.71-1.00) | |||||
Prospective cohort | • G3 = 0.84 (0.73-0.96) | ||||
G1 = Sedentary | |||||
G2 = Moderately active | |||||
D & B score = 13 | G3 = Regular exercise | ||||
Outcome Measure: CHD death | |||||
Proportional HR | |||||
Schnohr et al 2006 [214] | To describe the associations between different levels of LTPA and subsequent causes of death. | • n = 4,894 (2,136 men; 2,758 women) | Participants included in the study were only those whose PA levels did not change over 5 years | • Number of Cases: 292 | There was an inverse and significant dose- response association between LTPA and CHD-related mortality. |
Adjusted RR (95% CI) Whole group | |||||
Denmark | • Sex: Men and women | • G1 = 1.00 (referent) | |||
• G2 = 0.71 (0.51-0.99) | |||||
Prospective cohort | Age: 20--79 yr | PA assessment: | • G3 = 0.56 (0.38-0.82) | ||
• Characteristics: Healthy | Questionnaire LTPA | ||||
D & B score = 12 | • Copenhagen City Heart Study | G1 = <4 METS | Men | ||
G2 = 4-6 METS | • G1 = referent | ||||
G3 = >6 METS | • G2 = survived 4.9 yrs longer | ||||
• G3 = survived 6.8 yrs longer | |||||
Cox proportional HR | |||||
Women | |||||
• G1 = referent | |||||
• G2 = survived 5.5 yrs longer | |||||
• G3 = survived 6.4 yrs longer | |||||
Weller et al 1998 [220] | To examine the relationship between PA and mortality. | • n = 6,620 | Length of Follow-up: 7 yrs | • Number of Cases: 109 | LTPA is inversely associated with risk of fatal MI. |
• Sex: Women | |||||
• Age: ≥ 30 yr | PA assessment: | OR (95% CI) by LTPA | |||
Canada | • Characteristics: Canadian Women | Questionnaire, 4 groups for LTPA (kcal/kg/day) and non-LTPA (kcal/kg/day) | • Q1 = 1.00 (referent) | ||
• Q2 = 0.61 (0.07-1.19) | |||||
Prospective cohort | • Q3 = 0.84 (0.52-1.37) | ||||
• Q4 = 0.63 (0.36-1.09) | |||||
D & B score = 9 | LTPA (kcal/kg/day) | OR (95% CI) by non-LTPA | |||
Q1 = ≥ 0 | • Q1 = 1.00 (referent) | ||||
Q2 = ≥ 0.1 | • Q2 = 0.71 (0.44-1.16) | ||||
Q3 = ≥ 0.5 | • Q3 = 0.57 (0.33-0.97) | ||||
Q4 = ≥ 1.6 | • Q4 = 0.49 (0.26-0.92) | ||||
Non-LTPA (kcal/kg/day) | |||||
Q1 = ≥ 0 | |||||
Q2 = ≥ 2.8 | |||||
Q3 = ≥ 5.9 | |||||
Q4 = ≥ 9.9 | |||||
Outcome Measure: Fatal MI | |||||
Logistic regression analysis | |||||
Yu et al 2003 [221] | To examine the optimal intensity of LTPA to decrease the risk of CHD mortality in middle aged British men. | • n = 1,975 | 10 year follow-up | • Number of Cases: 82 | Strong significant inverse relationship between heavy LTPA and CHD mortality. |
• Sex: Men | PA assessment: Questionnaire (Minnesota LTPA questionnaire), 3 groups | Multivariate adjusted HR (95% CI) | |||
• Age: 49-64 yr | • G1 = 1.00 (referent) | ||||
UK | • Characteristics: Healthy, no previous history of CHD | • G2 = 0.74 (0.44-1.25) | |||
• G3 = 0.55 (0.31-0.98) | |||||
Prospective cohort | p = 0.039 | Relationship was not significant for low- moderate intensity LTPA and OPA. | |||
• Caerphilly collaborative heart study | Total activity level (kcal/day) | ||||
D & B score = 11 | G1 = 0.0 - 161.6 | ||||
G2 = 161.8 - 395.3 | |||||
G3 = 395.5 - 2747.2 | |||||
Cox proportional HR | |||||
Altieri et al 2004 [222] | To assess the possible protective role of PA on CHD. | • n = 985 (507 men; 478 women) | PA assessment: Questionnaire for OPA, divided into quartiles | Number of Cases: 507 | LTPA from 15-19 yrs as well as OPA from 30 - 39 yrs both have a significant inverse relationship with risk of non fatal acute MI. |
OR (95% CI) for CHD and OPA | |||||
Italy | • Sex: Men and women | Q1 = lowest | • Q1 = 1.00 (referent) | ||
Q2 | • Q2 = 0.63 (0.39-1.03) | ||||
Case Control | • Age: < 79 yr | Q3 | • Q3 = 0.56 (0.35-0.90) | ||
• Characteristics: Case: Patients admitted to Hospital with non-fatal Acute MI. Controls: Patients admitted to hospital for acute condition unrelated to known or potential risk factors for acute MI | Q4 = highest | • Q4 = 0.57 (0.34-0.95) | |||
D & B score = 11 | p = 0.045 | ||||
Outcome Measure: Non Fatal acute MI | |||||
Unconditional logistic regression | |||||
Batty et al 2003 [223] | To examine the relationship between physical activity and three mortality endpoints in healthy persons. | • n = 6,474 | Length of Follow-up: 25 yr | • Number of Cases: 837 | A suggestion that the symptomatic nature of ischemia appeared to modify the affects of |
• Sex: Men | • Number of Dropouts: 158 | ||||
• Age: 40-64 yr | PA assessment: Questionnaire for LTPA, divided into 3 groups: | ||||
UK | • Characteristics: British civil servants who underwent a resting ECG | HR (95% CI) for CHD and LTPA | |||
• G1 = 1.14 (0.9-1.4) | PA on total and CHD mortality. | ||||
Prospective cohort | G1 = Inactive | • G2 = 0.94 (0.8-1.1) | |||
G2 = Moderate | • G3 = 1.00 (referent) | ||||
G3 = Active | |||||
D & B score = 13 | |||||
Outcome Measure: CHD mortality | |||||
Cox Proportional HR | |||||
Chen and Millar [224] | To examine the potential protective effect of LTPA on the incidence of heart disease and depression. | • n = 15,670 | Length of Follow-up: 2 yrs | • 100 cases | Regular and at least MPA can be beneficial to heart health. |
• Sex: Men and women | |||||
• Age: ≥ 20 yr | PA assessment: EE from self administered questionnaire, 4 groups (kcal/kg/day) | Adjusted OR (95% CI) | |||
Canada | • Characteristics: Healthy and free from heart disease | • G1 = 5.0 (1.84-13.59) | |||
• G2 = 3.7 (1.26-10.67) | |||||
Prospective cohort | • G3 = 1.00 (referent) | ||||
G1 = Sedentary | • G4 = 1.3 (0.41-3.89) | ||||
G2 = Light (<1.5) | |||||
D & B score = 11 | National Population Health Survey | G3 = Moderate (1.5-2.9) | |||
G4 = Active (≥ 3) | |||||
Outcome Measure: CHD incidence | |||||
Multiple logistic regression | |||||
Conroy et al 2005 [225] | To examine the relationship between 1) PA during young adulthood and middle age, and 2) PA during each time period and CHD during middle age and older women. | • n = 37,169 | Length of Follow-up: 9 yrs | • Number of Cases: 477 | PA during middle age predicts lower risk of CHD |
• Sex: Women | |||||
• Age: ≥ 45 yr | Multivariate RR (95% CI) Baseline PA and incidence of CHD | ||||
US | • Characteristics: Healthy women health professionals | PA assessment: Questionnaire for EE (kcal/wk) and months/yr | |||
• Women's Health Study | • G1 = 1.00 (referent) | ||||
Cohort study | • G2 = 0.62 (0.48-0.80) | ||||
• G3 = 0.61 (0.48-0.79) | |||||
D & B score = 11 | Baseline PA (kcal/wk) | • G4 = 0.61 (0.46-0.81) | |||
G1 = <200 | p = <0.001 | ||||
G2 = 200-599 | |||||
G3 = 600-1499 | Past PA and incidence of CHD | ||||
G4 = ≥ 1500 | • G1 = 1.00 (referent) | ||||
• G2 = 0.76 (0.57-1.02) | |||||
Past PA | • G3 = 0.95 (0.72-1.24) | ||||
Months per year | • G4 = 1.04 (0.78-1.39) | ||||
G1 = 0 | • G5 = 0.81 (0.58-1.14) | ||||
G2 = 1-3 | |||||
G3 = 4-6 | |||||
G4 = 7-9 | |||||
G5 = 10-12 | |||||
Outcome Measure: Incidence of CHD | |||||
Cox proportional hazard regression | |||||
Dorn et al 1999 [226] | To examine the long-term relationships between total PA and mortality from all causes and CHD in the general population. | • n = 1,461 (698 men; 763 women) | Length of Follow-up: 29 years | • Number of Cases: 109 men, 81 women | PA favorably influences mortality risks in non- obese men and younger women. |
USA | • Sex: Men and women | PA assessment: Questionnaire | Multivariate RR (95% CI) for PAI in non- obese men | ||
Prospective cohort | • Age: 15-96 yr | • 0.40 (0.19-0.88) for 1 kcal/kg/h | |||
• Characteristics: | Outcome Measure: CHD | Multivariate RR (95% CI) for PAI in obese men | |||
Healthy, free from CHD, diabetes, and Stroke. | Mortality | • 1.86 (0.86-4.03) for 1 kcal/kg/h | |||
D & B score = 11 | |||||
Cox Proportional Hazard | |||||
Ratio | Multivariate RR (95% CI) for PAI in women < 60 yrs | ||||
• Ethnicity: White. | • 0.42 (0.11-1.52) for 1 kcal/kg/h | ||||
Multivariate RR (95% CI) for PAI in women > 60 yrs | |||||
• 1.78 (0.77-4.09) for 1 kcal/kg/h | |||||
Folsom et al 1997 [227] | To examine the association of PA at baseline with CHD incidence. | • n = 13,999 (6,166 men; 7833 women) | Length of Follow-up: 4-7 yrs | • Number of Cases: 223 men, 97 women, | No significant relationships. |
Multivariate RR (95% CI) LTPA, men | |||||
USA | • Sex: Men and women | PA assessment: Questionnaire during home interview, divided into quartiles of LTPA and sports activity | |||
• Q1 = 1.00 (referent) | |||||
Prospective cohort | • Age: 45-64 yr | • Q2 = 1.08 (0.75-1.55) | |||
• Characteristics: no CHD at baseline | • Q3 = 0.83 (0.51-1.36) | ||||
• Q4 = 0.89 (0.59-1.35) | |||||
D & B score = 9 | Q1 = Low | ||||
• Ethnicity: Black and non Black | Q2 | LTPA, women | |||
Q3 | • Q1 = 1.00 (referent) | ||||
• Atherosclerosis Risk in Communities Study | Q4 = High | • Q2 = 0.74 (0.42-1.31) | |||
• Q3 = 1.07 (0.55-2.09) | |||||
Outcome Measure: CHD incidence Poisson Regression | • Q4 = 0.64 (0.34-1.24) | ||||
Multivariate RR (95% CI) Sports, men | |||||
• Q1 = 1.00 (referent) | |||||
• Q2 = 1.15 (0.79-1.68) | |||||
• Q3 = 1.03 (0.68-1.54) | |||||
• Q4 = 0.83 (0.56-1.23) | |||||
Sports, women | |||||
• Q1 = 1.00 (referent) | |||||
• Q2 = 0.99 (0.58-1.67) | |||||
• Q3 = 0.64 (0.32-1.27) | |||||
• Q4 = 0.72 (0.37-1.38) | |||||
Fransson et al 2004 [228] | To estimate the influence of LTPA and OPA on acute MI. | • n = 4069 (2,742 men; 1,327 women) | PA assessment: Questionnaire for LTPA, 5 groups | • Number of Cases: 1,204 men, 550 women | Exercise seems to reduce the risk of MI. |
Sweden | • Sex: Men and Women | G1 = Seldom | OR (95% CI) | ||
G2 = Sometimes | |||||
Case Control | • Age: 45-70 yr | G3 = 1×/wk | LTPA, men | ||
• Characteristics: Cases: Diagnosed with acute MI | G4 = 2-3×/wk | • G1 = 1.00 (referent) | |||
D & B score = 12 | G5 = >3×/wk | • G2 = 0.76 (0.61-0.95) | |||
• G3 = 0.67 (0.51-0.88) | |||||
• G4 = 0.63 (0.49-0.83) | |||||
• Stockholm Heart Epidemiology | Questionnaire for total physical activity, 3 groups | • G5 = 0.53 (0.38-0.73) | |||
G1 = Passive | |||||
G2 = Somewhat active | LTPA, women | ||||
G3 = Active | • G1 = 1.00 (referent) | ||||
Questionnaire for sitting at work, 3 groups | • G2 = 0.69 (0.49-0.98) | ||||
• G3 = 0.38 (0.25-0.58) | |||||
G1 = Less than half the time | • G4 = 0.62 (0.38-1.01) | ||||
G2 = About half the time | • G5 = 0.31 (0.15-0.66) | ||||
G3 = More than half the time | Total physical activity, men | ||||
• G1 = 1.00 (referent) | |||||
• G2 = 0.66 (0.47-0.94) | |||||
Outcome Measure: Acute MI | • G3 = 0.46 (0.31-0.69) | ||||
Total physical activity, women | |||||
Conditional and unconditional logistics regression | • G1 = 1.00 (referent) | ||||
• G2 = 0.34 (0.22-0.53) | |||||
• G3 = 0.16 (0.07-0.37) | |||||
Sitting at work, men | |||||
• G1 = 1.00 (referent) | |||||
• G2 = 0.91 (0.73-1.15) | |||||
• G3 = 0.90 (0.72-1.12) | |||||
Sitting at work, women | |||||
• G1 = 1.00 (referent) | |||||
• G2 = 0.77 (0.51-1.17) | |||||
• G3 = 0.47 (0.31-0.69) | |||||
Fransson et al 2006 [229] | To evaluate whether LTPA compensates for the increased risk of acute MI associated with overweight and obesity. | • n = 4069 (2,742 men; 1,327 women) | PA Assessment: Questionnaire for LTPA, 3 groups | Number of Cases: 1204 men, 550 women | Regular LTPA seems to provide protection against MI and non- fatal MI. |
Multivariate OR (95% CI) for acute MI | |||||
Sweden | • Sex: Men and women | G1 = Very little /occasional walks | LTPA, men | ||
• G1 = 1.00 (referent) | |||||
Case Control | • Age: 45-70 yr | G2 = Occasional / once per week | • G2 = 0.70 (0.58-0.84) | ||
• Characteristics: Cases: had acute MI | • G3 = 0.57 (0.46-0.71) | ||||
D & B score = 12 | G3 = Twice per week or more | LTPA, women | |||
• G1 = 1.00 (referent) | |||||
Outcome measure: Acute MI | • G2 = 0.52 (0.40-0.68) | ||||
• G3 = 0.44 (0.30-0.65) | |||||
Multivariate OR (95% CI) for non-fatal MI | |||||
Conditional and unconditional logistics regression | LTPA, men | ||||
• G1 = 1.00 (referent) | |||||
• G2 = 0.79 (0.65-0.96) | |||||
• G3 = 0.63 (0.50-0.79) | |||||
LTPA, women | |||||
• G1 = 1.00 (referent) | |||||
• G2 = 0.64 (0.48-0.86) | |||||
• G3 = 0.58 (0.39-0.87) | |||||
Haapanen-Niemi 2000 [230] | To investigate the independent associations and the possible interaction of BMI LTPA and perceived physical performance and functional capacity with the risk of mortality. | • n = 2,212 (1,090 men; 1,122 women) | Length of Follow-up: 16 yrs | • Number of Cases: 208 all cause deaths, 54% of those CVD. 73% of CVD deaths due to CHD | Increase perceived PF is associated with a reduced risk of CHD mortality in men. |
Finland | • Sex: Men and women | PA assessment: Postal Survey | |||
Multivariate RR (95% CI) | |||||
Prospective cohort | • Age: 35-63 yr | Total LTPA energy expenditure (kcal/wk) | Total LTPA EE index and CHD mortality, men | ||
• Characteristics: Healthy |
• G1 = 1.00 (referent) | ||||
G1 = High | • G2 = 0.88 (0.44-1.76) | ||||
D & B score = 13 | • Ethnicity: Finnish |
G2 = Moderate | • G3 = 1.70 (0.90-3.21) | ||
G3 = Low | p = 0.056 | ||||
Perceived physical fitness compared to age-mates | Multivariate RR (95% CI) Perceived physical fitness, men | ||||
G1 = Better | • G1 = 1.00 (referent) | ||||
G2 = Similar | • G2 = 2.82 (1.06-7.46) | ||||
G3 = Worse | • G3 = 4.64 (1.56-13.84) | ||||
Outcome Measure: CHD mortality | p = 0.011 | ||||
Total LTPA EE index and CHD mortality, women | |||||
Cox proportional HR | |||||
• G1 = 1.00 (referent) | |||||
• G2 = 0.43 (0.16-1.16) | |||||
• G3 = 1.17 (0.51-2.68) | |||||
p = 0.046 | |||||
Multivariate RR (95% CI) Perceived physical fitness, women | |||||
• G1 = 1.00 (referent) | |||||
• G2 = 0.82 (0.32-2.16) | |||||
• G3 = 1.89 (0.57-6.27) | |||||
p = 0.154 | |||||
Kannel et al 1986 [231] | To examine the role of low levels of OPA and LTPA in the development of CV morbidity and mortality over the short and long term. | • n = 1,166 | Length of Follow-up: 24 yrs | • Number of Cases: 220 mortality, 371 morbidity | Rate of CHD Mortality and Morbidity decreases with increased level of PA but no association was found with physical demand of work |
• Sex: Men | |||||
• Age: 45-65 yr | |||||
USA | • Characteristics: | PA assessment: Questionnaire during examination | Cumulative 24 year age adjusted rate per 1000 people | ||
Prospective cohort | 24 hr PA index for LTPA CHD mortality | ||||
PA index: | • G1 = 255 | ||||
D & B score = 11 | G1 = <29 | • G2 = 184 | |||
G2 = 30-34 | • G3 = 152 | ||||
G3 = >34 | p < 0.01 | ||||
Physical demand of work | 24 hr PA index for LTPA CHD incidence | ||||
G1 = Sedentary | • G1 = 414 | ||||
G2 = Light | • G2 = 353 | ||||
G3 = Medium | • G3 = 311 | ||||
G4 = Heavy | |||||
Outcome Measure: CHD mortality and Morbidity | Physical demand of work and CHD mortality | ||||
• G1 = 216 | |||||
Cox proportional HR | • G2 = 209 | ||||
• G3 = 169 | |||||
• G4 = 170 | |||||
Physical demand of work and CHD incidence: | |||||
• G1 = 355 | |||||
• G2 = 405 | |||||
• G3 = 307 | |||||
• G4 = 325 | |||||
Kaprio et al 2000 [232] | To examine the contribution of genetic and other familial factors to the relationship between LTPA and CHD. | • n = 8,205 | Length of Follow-up: 18 yrs | • Number of Cases: 723 | LTPA compared to being sedentary helps prevent CHD in men. |
• Sex: Men | |||||
• Age: 25-69 yr | Multivariate RR (95% CI) | ||||
Finland | • Characteristics: Same sex twin pairs, free of CVD | PA assessment: Questionnaire for LTPA, 3 groups: | • G1 = 1.00 (referent) | ||
• G2 = 0.84 (0.70-1.01) | |||||
Prospective cohort | • G3 = 0.68 (0.50-0.92) | ||||
G1 = Sedentary | p = 0.010 | ||||
G2 = Occasional | |||||
D & B score = 12 | Exercisers | ||||
G3 = Conditioning | |||||
Exercisers | |||||
Outcome Measure: Hospitalization or death from CHD | |||||
Poisson regression | |||||
Lakka et al 1994 [233] | To investigate the independent associations of LTPA and maximal oxygen uptake with the risk of acute MI. | • n = 1,166 | Baseline examination: 1984-1989 | Conditioning LTPA and VO2 max had an inverse, graded and independent association with the risk | |
• Sex: Men | |||||
• Age: 42-61 yr | Adjusted RH (95% CI) by conditioning PA level | ||||
Finland | • Characteristics: Healthy with normal ECG | PA assessment: Questionnaire for conditioning PA (h/wk), 3 groups (h/wk) | |||
G1 = <0.7 | • G1 = 1.00 (referent) | ||||
Prospective cohort | G2 = 0.7 | • G2 = 1.11 (0.58-2.12) | |||
• Kuopio Ischaemic Heart Disease Risk Factor Study | G3 = >2.2 | • G3 = 0.31(0.12-0.85) | |||
D & B score = 13 | Adjusted RG (95% CI) by VO2 max | ||||
• G1 = 1.00 | |||||
PF assessment: VO2 max (ml/kg/min) | • G2 = 0.76 (0.38-1.50) | ||||
• G3 = 0.26 (0.10-0.68) | |||||
G1 = <28.0 | |||||
G2 = 28.0-33.6 | |||||
G3 = >33.6 | |||||
Outcome event: acute MI | |||||
Cox proportional HR | |||||
Laukkanen at al 2004 [234] | To determine whether VO2peak predicts CVD morbidity and mortality in a sample of men as related to conventional risk factors, medications or underlying chronic disease. | • 1,294 healthy; 1,057 unhealthy | PF Assessment: VO2 peak (ml/kg/min) measured by exercise test with an electrically braked cycle ergometer, divided into quartiles | • Number of Cases: 204 CV deaths, 323 non-fatal coronary events | Dose-response relationship between directly measured PF and CVD death among healthy men at baseline. |
Finland | • Sex: Men | Healthy men with low VO2 peak (lowest quartile) had an increased risk | |||
• Age: 42-60 yr | |||||
Prospective cohort | • Characteristics: Healthy and not healthy participants | ||||
Q1 = <27.6 | Adjusted RR (95% CI) by PF quartile Fatal MI | ||||
Q2 = 27.6-32.2 | Unfit men with unfavorable risk profiles are the risk group that would benefit the most from preventative measures. | ||||
D & B score = 11 | Q3 = 32.3-37.1 | • 3.29 (0.86-12.90) | |||
• Kuopio Ischaemic Heart Disease Risk Factor Study | Q4 = >37.2 | ||||
Non-Fatal MI | |||||
Outcome Measure: Incidence of fatal and non fatal CVD during 13 year follow-up | • 2.16 (1.12-4.18) | ||||
Cox proportional HR | |||||
Lee at al 2000 [235] | To investigate whether different durations of exercise episode are associated with different risk of CHD. | • n = 7,307 | Baseline survey in 1988 | • Number of Cases: 482 | Longer durations of PA bouts are not associated with decreased CHD risk compared with shorter bouts, once total EE is taken into account. |
• Sex: Men | |||||
USA | • Age: Mean 66.1 ± 7.5 | PA assessment: Survey for EE (kJ/wk), divided into 5 groups and episodes of PA (min), divided into 6 groups | Multivariate adjusted RR (95% CI) by EE | ||
• G1 = 1.00 (referent) | |||||
• Characteristics: Healthy | • G2 = 0.80 (0.57-1.12) | ||||
• G3 = 0.80 (0.55-1.16) | |||||
Prospective cohort | • Harvard Alumni Study | • G4 = 0.74 (0.47-1.17) | |||
• G5 = 0.62 (0.41-0.94) | |||||
D & B score = 12 | Energy expenditure (kJ/wk) | As long as the total EE is similar, more frequent shorter bouts or longer less frequent bouts have an equivalent reduction in CHD risk. | |||
G1 = <4,200 | Multivariate adjusted RR (95% CI) by duration of PA episode | ||||
G2 = 4,200-8,399 | |||||
G3 = 8,400-12,599 | |||||
G4 = 12,600-16,799 | • G1 = 1.00 (referent) | ||||
G5 = ≥ 16,800 | • G2 = 1.15 (0.70-1.87) | ||||
• G3 = 1.01 (0.68-1.51) | |||||
• G4 = 1.11 (0.67-1.84) | |||||
Duration of PA episode (min) | • G5 = 1.18 (0.77-1.80) | ||||
G1 = None | • G6 = 1.25 (0.83-1.87) | ||||
G2 = 1-15 | |||||
G3 = 16-30 | |||||
G4 = 31-45 | |||||
G5 = 46-60 | |||||
G6 = >60 | |||||
Outcome Measure: Fatal and Non Fatal CHD | |||||
Proportional hazards regression | |||||
Lee et al 2003 [236] | To investigate whether moderate- intensity exercise is associated with reduced CHD. | • n = 7,337 | PA assessment: Survey rating usual level of exertion when exercising, divided into tertiles | • Number of Cases: 551 | Inverse association between relative intensity of PA and the risk of CHD. |
USA | • Sex: Male | Multivariate adjustment RR (95% CI) | |||
• Age: Mean 66.1 yr | • T1 = 1.00 (referent) | ||||
• T2 = 0.87 (0.70-1.09) | |||||
• Characteristics: Healthy | • T3 = 0.92 (0.75-1.14) | ||||
Prospective cohort | Energy expenditure (kcal/wk) | ||||
Harvard Alumni Study | |||||
T1 = <1000 | |||||
D & B score = 13 | T2 = 1000-2499 | ||||
T3 = ≥ 2500 | |||||
Cox proportional HR | |||||
Lemaitre et al 1999 [237] | To investigate whether regular participation in moderate intensity activity confers overall protection from sudden primary cardiac arrest. | • n = 355 cases, 503 controls | PA assessment: Interview (with spouses) for LTPA, 7 groups | • 355 cases | Participation in moderate intensity LTPA was associated with a decreased risk of primary cardiac arrest. |
• Sex: Men and women | RR (95% CI) | ||||
USA | G1 = No activity | • G1 = 1.00 (referent) | |||
• Age: 25-74 yr | G2 = Gardening only≤ 60 min/wk | • G2 = 0.52 (0.21-1.28) | |||
Case control | • Characteristics: Previously healthy prior to primary cardiac arrest. Control Subjects: Individually matched to case patients on age (within 7 years) and sex at a ratio of about 2:1 were randomly selected from community by random-digit dialing | G3 = Gardening only > 60 min/wk | • G3 = 0.34 (0.13 0.89) | ||
G4 = Walking ≤ 60 min/wk | • G4 = 0.45 (0.17-1.19) | ||||
D & B score = 11 | G5 = Walking > 60 min/wk | • G5 = 0.27 (0.11-0.67) | |||
G6 = Moderate intensity | • G6 = 0.31 (0.13-0.74) | ||||
LTPA (not walking or gardening) | G7 = 0.34 (0.16-0.75) | ||||
G7 = High intensity LTPA | |||||
Logistic regression analysis | |||||
Lemaitre et al 1995 [238] | To examine whether LTPA decreases the risk of MI in postmenopausal women. | • n = 1,193 | PA assessment: Phone interview for LTPA, divided into quartiles of EE (mean kcal/wk) | • Number of Cases: 268 | Risk of MI among postmenopausal women is decreased by 50% with modest LT energy expenditures, equivalent to 30-45 min of walking for exercise three times per week |
• Sex: Women | |||||
• Age: Mean 67 yr | Multivariate RR (95% CI) | ||||
USA | • Q1 = 1.00 (referent) | ||||
• Characteristics: Postmenopaus al Cases: Diagnosed with non-fatal MI Controls: free from MI | Q1 = 71 | • Q2 = 0.52 (0.34-0.80) | |||
Case control | Q2 = 472 | • Q3 = 0.40 (0.26-0.63) | |||
Q3 = 1183 | • Q4 = 0.40 (0.25-0.63) | ||||
D & B score = 11 | Q4 = 3576 | p = <0.001 | |||
Outcome Measure: Diagnosed with non-fatal MI | |||||
Logistic regression analysis | |||||
Li et al 2006 [239] | To examine independent and joint associations of PA and adiposity with CHD incidence. | • n = 88,393 | Length of Follow-up: 20 yrs | • Number of Cases: 2,358 | Physical inactivity independently contributes to the development of CHD in women. |
• Sex: Women | • Number of Dropouts: <2% lost to follow-contributes to the development of CHD in women. | ||||
USA | • Age: 34-59 yr | up | |||
• Characteristics: Nurses | PA assessment: Questionnaire for LTPA (hr/wk), 3 groups | ||||
Prospective cohort | Multivariate HR (95% CI) | ||||
• Nurses' Health Study | • G1 = 1.00 (referent) | ||||
G1 = ≥3.5 | • G2 = 1.34 (1.18-1.51) | ||||
D & B score = 12 | G2 = 1-3.49 | • G3 = 1.43 (1.26-1.63) | |||
G3 = <1 | |||||
Outcome Measure: CHD incidence | |||||
Cox proportional HR | |||||
Lemaitre et al 1995 [240] | To evaluate the effect of PA on MI occurrence. | • n = 1,107 (726 controls, 381 cases) | PA assessment: Questionnaire, 3-5 groups depending on variable | OR (95% CI), | PA level was inversely associated with occurrence of MI in both sexes, although the association presented a significant linear trend only for women; in men it suggested a u-shaped relation. |
Total PA, men | |||||
Portugal | • Sex: Men and women | • G1 = 1.00 (referent) | |||
Total PA (MET hr/day), men | • G2 = 0.54 (0.33-0.88) | ||||
Case control | • Age: ≥ 40 yr | • G3 = 0.34 (0.20-0.59) | |||
• Characteristics: Case: Admitted to Hospital and diagnosed with first episode of MI Control: Healthy, no history of CHD | G1 = 28.3-32.1 | • G4 = 0.59 (0.36-0.98) | |||
D & B score = 12 | G2 = 32.2-33.3 | • G5 = 0.90 (0.56-1.45) | |||
G3 = 33.4-36.5 | Trend p = 0.827 | ||||
G4 = 36.6-40.3 | Total PA, women | ||||
G5 = 40.4-83.1 | • Q1 = 1.00 (referent) | ||||
Total PA (MET hr/day), women | • Q2 = 0.39 (0.21-0.73) | ||||
Q1 = 28.9-32.7 | • Q3 = 0.33 (0.17-0.64) | ||||
Q2 = 32.8-34.1 | • Q4 = 0.22 (0.11-0.47) | ||||
Q3 = 34.2-37.8 | p = <0.001 | ||||
Q4 = 37.8-70.6 | |||||
Sport participation, men | |||||
Sport participation (MET hr/day), men | • G1 = 1.00 (referent) | ||||
G1 = 0.0 | • G2 = 0.36 (0.19-0.69), | ||||
G2 = 0.1-1.0 | • G3 = 0.72 (0.41-1.26), | ||||
G3 = 1.1-2.0 | • G4 = 0.42 (0.23-0.76), | ||||
G4 = 2.1-3.6 | • G5 = 0.31 (0.16-0.62) | ||||
G5 = 3.7-15.4 | p = <0.001 | ||||
Lovasi et al 2007 [241] | To investigate the shape of the relationship between LTPA and MI risk. | • n = 4,094 | PA assessment: Telephone interview (Minnesota LTPA Questionnaire) | • Number of Cases: 697 | Time engaged in LTPA, even non strenuous LTPA was associated with a lower risk of MI, and the shape of this relationship was non- linear |
• Sex: Men and women | Adjusted OR (95% CI) | ||||
USA | • Age: 64 ± 9 yr | LTPA and non fatal CHD | |||
• Characteristics: Group Health Cooperative Members | • G1 = 1.00 (referent) | ||||
Case control | LTPA | • G2 = 0.88 (0.66-1.17) | |||
G1 = None | • G3 = 0.62 (0.46-0.83) | ||||
D & B score = 11 | G2 = <2 | • G4 = 0.61 (0.45-0.82) | |||
G3 = 2-5 | • G5 = 0.59 (0.44-0.80) | ||||
G4 = 5-9 | |||||
G5 = >9 h/wk | Adjusted RR (95% CI) Strenuous LTPA and non Fatal CHD | ||||
Strenuous LTPA | • G1 = 1.00 (referent) | ||||
G1 = None | • G2 = 0.76 (0.59-0.99) | ||||
G2 = non strenuous LTPA | • G3 = 0.53 (0.40-0.70) | ||||
G3 = Any Strenuous | |||||
LTPA | |||||
Outcome measure: non fatal CHD | |||||
Logistic regression | |||||
Manson et al 1999 [242] | To assess the comparative roles of walking and vigorous exercise in the prevention of coronary events in women. | • n = 72,488 | PA assessment: | • Number of Cases: 645 coronary events | Both walking and VPA are associated with a substantial reductions in incidence of CHD. Risk reductions for each were similar hen total PAy was similar. Walking 3 or more hours per week could reduce the risk of CHD by 30-40%. |
• Sex: Women | Questionnaire with detailed information on PA. | ||||
• Age: 40-65 yr | Multivariate RR (95% CI) by total PA score | ||||
USA | • Characteristics: Healthy, no Previous history of CHD | • G1 = 1.00 (referent) | |||
• G2 = 0.88 (0.71-1.10) | |||||
Prospective cohort | Total PA score | • G3 = 0.81(0.64-1.02) | |||
G1 = 1-2.0 | • G4 = 0.74 (0.58-0.95) | ||||
Nurses' Health Study | G2 = 2.1-4.6 | • G5 = 0.66 (0.51-0.86) | |||
D & B score = 12 | G3 = 4.7-10.4 | p = 0.002 | |||
G4 = 10.5-21.7 | |||||
G5 = >21.7 | |||||
Multivariate RR (95% CI) by walking activity | |||||
• G1 = 1.00 (referent) | |||||
Walking, in those who did not participate in VPA: (MET hr/wk) | • G2 = 0.78 (0.57-1.06) | ||||
G1 = 0.5 | • G3 = 0.88 (0.65-1.21) | ||||
G2 = 0.6-2.0 | • G4 = 0.70 (0.51-0.95) | ||||
G3 = 2.1-3.8 | • G5 = 0.65 (0.47-0.91) | ||||
G4 = 3.9-9.9 | p = 0.02 | ||||
G5 = ≥ 10 | |||||
Multivariate RR (95% CI) by walking pace | |||||
• 1.00 (referent) | |||||
Walking pace (mph) | • 0.75 (0.59-0.96) | ||||
G1 = <2.0 | • 0.64 (0.47-0.88) | ||||
G2 = 2.0-2.9 | |||||
G3 = ≥ 3.0 | |||||
Mora et al 2007 [243] | To investigate whether differences in several CV risk factors mediate the effect of PA on reduced risk of CVD. | • n = 27,055 | 10.9 ± 1.6 yr of follow up | • Number of Cases: 640 | There remained a borderline significant inverse association between PA and risk of CHD after adjustment for all sets of risk factors. |
• Sex: Women | |||||
• Age: ≥ 45 yr | PA assessment: Questionnaires at study entry for categories of EE from PA (kcal/wk), 4 groups | HR (95% CI), basic model | |||
USA | • Characteristics: Healthy | • G1 = 1.00 (referent) | |||
• G2 = 0.84 (0.67-1.06) | |||||
Prospective cohort | • Women's health study | • G3 = 0.76 (0.61-0.96) | |||
• G4 = 0.62 (0.48-0.82) | |||||
G1 = <200 | p = 0.001 | ||||
D & B score = 13 | G2 = 200-599 | While all sets of risk factors should some mediation on the effect of PA on CHD none made the relationship insignificant | |||
G3 = 600-1499 | Multivariate adjusted HR (95% CI) | ||||
G4 = ≥ 1500 | • G1 = 1.00 (referent) | ||||
• G2= 0.71 (0.58-0.87) | |||||
Outcome measure: | • G3 = 0.64 (0.52-0.78) | ||||
Incidence of CVD and | • G4 = 0.48 (0.38-0.62) | ||||
p = <0.001 | |||||
Cox proportional HR | |||||
O'Connor et al 1995 [244] | To examine the association between intensity of exercise and CHD risk. | • n = 680 (532 men and 148 women) | PA assessment: Home interview for PA, divided into quartiles | • Number of Cases: 340 | Significant inverse association between PA level and the risk of non fatal MI in men, which persisted after adjustment for other risk factors. |
Adjusted OR (95% CI) by PA level, men | |||||
• Q1 = 1.00 (referent) | |||||
USA | • Sex: Men and women | Q1 = Lowest | • Q2 = 0.60 (0.32-1.13) | ||
Q2 | • Q3 = 0.41 (0.21-0.78) | ||||
Case control | • Age: < 76 yr | Q3 | • Q4 = 0.41 (0.22-0.77) | ||
• Characteristics: Cases: Diagnosed MI (non-fatal), no previous history of CHD. Controls: no history of CHD. | Q4 = Highest | p = 0.003 | |||
D & B score = 12 | Outcome Measure: non-fatal MI | Adjusted OR (95% CI) by PA level, women | |||
• Q1 = 1.00 (referent) | |||||
Moderate- vigorous sports men Cut-points kcal/wk | • Q2 = 1.07 (0.27-4.17) | ||||
Q1 = Lowest | • Q3 = 2.02 (0.56-7.38) | ||||
Q2 | • Q4 = 1.29 (0.31-5.35) | ||||
Q3 | p = 0.51 | ||||
Q4 = Highest | |||||
Adjusted OR (95% CI) by moderate-vigorous sports, men | |||||
• Q1 = 1.00 (referent) | |||||
Moderate- vigorous sports Women | • Q2 = 1.12 (0.60-2.10) | ||||
Cut-points kcal/wk | • Q3 = 0.61 (0.30-1.24) | ||||
Q1 = Lowest | • Q4 = 0.43 (0.20-0.92) | ||||
Q2 | p = 0.02 | ||||
Q3 | |||||
Q4 = Highest | Adjusted OR (95% CI) by moderate-vigorous sports, women | ||||
Logistic regression analysis | • Q1 = 1.00 (referent) | ||||
• Q2 = 1.31 (0.37-4.66) | |||||
• Q3 = 1.90 (0.44-8.28) | |||||
• Q4 = 0.35 (0.07-1.84) | |||||
p = 0.62 | |||||
Rastogi et al 2004 [245] | To examine the relation between PA and CHD risk in India. | • n = 1,050 | PA assessment: Questionnaire | Number of Cases: 350 | Observed a strong and dose dependent inverse association between LTPA and non fatal CHD. |
• Sex: Men and women | Multivariate OR (95% CI) by LTPA | ||||
USA | • Age: 21-74 yr | LTPA (MET min/d) | • G1 = 1.00 (referent) | ||
• Characteristics: Cases: Diagnosed with MI (non fatal) Controls: non- cardiac patients | G1 = 0 | • G2 = 0.96 (0.59-1.55) | |||
Case control | G2 = 0-145 | • G3 = 0.44 (0.27-0.71) | |||
D & B score = 12 | G3 = ≥145 | p = 0.001 | |||
Sedentary time (min/d) | Multivariate OR (95% CI) by sedentary time | ||||
G1 = <70 | • G1 = 1.00 (referent) | ||||
G2 = 70-130 | • G2 = 1.15 (0.68-1.95) | ||||
G3 = 130-215 | • G3 = 1.04 (0.61-1.76) | ||||
G4 = ≥215 | • G4 = 1.88 (1.09-3.21) | ||||
p = 0.02 | |||||
Outcome Measure: Non-fatal MI | |||||
Conditional logistic regression | |||||
Rodriguez et al 1994 [246] | To examine the relationship between PA and 23 yr incidence of CHD morbidity and mortality. | • n = 7,074 | 23 year follow-up | • Number of Cases: 789 | PA was associated with a significant reduction in the risk of CHD morbidity and mortality. |
• Sex: Men | |||||
• Age: 45-64 yr | PA assessment: Questionnaire for PA index, divided into tertiles | Age adjusted RR (95% CI), CHD incidence | |||
USA | • Characteristics: Japanese- American living in Oahu, Hawaii in 1965, < 65 years to reduce effect of retirement on PA levels | • T1 = 1.00 (referent) | |||
• T2 = 1.01 (.86-1.19) | |||||
Prospective cohort | T1 = Low | • T3 = 0.83 (0.86-1.19) | These data support the hypothesis that PA is associated with a favorable profile of CVD risk factors. | ||
T2 = Moderate | |||||
T3 = High | Multivariate adjusted RR (95% CI), CHD incidence | ||||
D & B score = 11 | Cox proportional regression model | • T1 = 1.00 (referent) | |||
• T2 = 1.07 (0.90-1.26) | This study did not show a dose- response relationship since the medium tertile of PA showed increased rates of CHD compared to the inactive group. | ||||
• The Honolulu Heart Program | • T3 = 0.95 (0.80-1.14) | ||||
Age adjusted RR (95% CI), CHD mortality | |||||
• T1 = 1.00 (referent) | |||||
• T2 = 1.12 (0.88-1.44) | |||||
• T3 = 0.74 (0.56-0.97) | |||||
Multivariate adjusted RR (95% CI) | |||||
• T1 = 1.00 (referent) | |||||
• T2 = 1.19 (0.93-1.53) | |||||
• T3 = 0.85 (0.65-1.13) | |||||
Rothenbacher et al 2003 [247] | To estimate the risk for CHD associated with LTPA. | • n = 791 (312 cases; 479 controls) | PA assessment: Interview | Number of Cases: 312 | LTPA showed a clear inverse association with risk of CHD. |
LTPA (h/wk) | Multivariate OR (95% CI), LTPA | ||||
Germany | • Sex: Men and Women | G1 = 0 | Winter | ||
G2 = <1 | • G1 = 1.00 (referent) | ||||
Case control | Age: 40-68 yr | G3 = 1-2 | • G2 = 0.48 (0.27-0.84) | ||
Characteristics: Cases: stable CHD diagnosed within 2 years, no recent MI, Controls: no history of CHD. | G4 = >2 | • G3 = 0.54 (0.369-0.82) | |||
D & B score = 12 | • G4 = 0.27 (0.19-0.47) | ||||
Workday activity by | |||||
bike/foot, (min/workday) | Summer | ||||
G1 = <15 | • G1 = 1.00 (referent) | ||||
G2 = 15-30 | • G2 = 0.85 (0.47-1.53) | ||||
G3 = 30-60 | • G3 = 0.60 (0.38-0.95) | ||||
G4 = >60 | • G4 = 0.39 (0.26-0.59) | ||||
Outcome Measure: non fatal CHD | Multivariate OR (95% CI), workday activity by bike/foot | ||||
Unconditional logistic regression, linear regression model | • G1 = 1.00 (referent) | ||||
• G2 = 0.53 (0.30-0.93) | |||||
• G3 = 0.36 (0.21-0.62) | |||||
• G4 = 0.58 (0.36-0.94) | |||||
Seccareccia and Menotti 1992 [248] | To examine the relationship between OPA and the risk of CHD death. | • n = 1,621 | 25 year of follow-up | • 189 cases | Increase in OPA is inversely related to risk of CHD death. |
• Sex: Men | |||||
• Age: 40-59 yr | PA assessment: Questionnaire for OPA (kcal/d), 3 groups | Age Standardized CHD and deaths rates: | |||
• Characteristics: Healthy | • G1 = 18.9 ± 3.1 | ||||
Italy | • G2 = 13.1 ± 1.7 | ||||
G1 = Sedentary, < 2400 | • G3 = 11.0 ± 0.9 | ||||
Prospective cohort | G2 = Moderate, 2400-3199 | ||||
D & B score = 11 | G3 = Heavy ≥ 3200 | ||||
Indicators of PF including HR, vital capacity, FEV in 3/4 of sec, and corrected arm circumference (minus contribution of fat). | |||||
End Point: Fatal CHD | |||||
Sesso et al 2000 [249] | To examine the association of the quantity and intensity of PA with CHD risk and the impact of other coronary risk factors. | • n = 12,516 | PA assessment: Questionnaire | Number of Cases: 2,135 | L-Shaped association between PA and the risk of CHD, with a reduction in CHD risk of approximately 20% for total PA levels >4200 kJ/wk |
• Sex: Men | |||||
• Age: 39-88 yr | Multivariate HR (95% CI) | ||||
USA | • Characteristics: Healthy | PA Index (kJ/wk) | • G1 = 1.00 (referent) | ||
G1 = <2100 | • G2 = 0.90 (0.79-1.03) | ||||
Prospective cohort | • Harvard Alumni | G2 = 2100-4199 | • G3 = 0.81 (0.71-0.92) | ||
Study | G3 = 4200-8399 | • G4 = 0.80 (0.69-0.93) | |||
G4 = 8400-12599 | • G5 = 0.81 (0.71-0.94) | ||||
D & B score = 12 | G5 = >12600 | p = 0.003 | Suggests that vigorous activities are associated with a reduced risk of CHD, whereas moderate or light PA has no clear association with risk of CHD. | ||
Cox proportional HR | |||||
Sundquist et al 2005 [250] | To examine the long term effect of LTPA on incident cases of CHD. | • n = 5,196 (2,645 men, 2,551 women) | PA assessment: Questionnaire Levels of PA | Age and sex adjusted RR (95% CI) | Positive long term effect of LTPA on CHD risk among men and women. |
• Q1 = 1.00 (referent) | |||||
Sweden | • Sex: Men and women | Q1 = None | • Q2 = 0.72 (0.51-1.00) | ||
Q2 = Occasionally | • Q3 = 0.64 (0.46-0.89) | ||||
Prospective cohort | Age: 35-74 yr | Q3 = 1-2 times per week | • Q4 = 0.46 (0.29-0.74) | ||
• Characteristics: Those not hospitalized for CHD in the last 2 years and those who rate their general health as poor were excluded | Q4 = Vigorous ≥2 times per week | Multivariate adjusted RR (95% CI) | |||
D & B score = 11 | Outcome Measure: Fatal or non fatal CHD | • Q1 = 1.00 (referent) | |||
• Q2 = 0.76 (0.55-1.07) | |||||
• Q3 = 0.74 (0.53-1.04) | |||||
• Q4 = 0.59 (0.37-0.95) | |||||
Cox regression model | |||||
Talbot et al 2002 [251] | To examine the contributions of LTPA and aerobic fitness to the risk of coronary events in healthy younger and older adults. | • n = 689 | Surveys began in 1960 and were completed on every visit | • Number of Cases: 63 | In younger men PF predicts a reduced risk of CHD but not LTPA. |
• Sex: Men | |||||
• Age: | After adjusting for coronary risk factors there was: | ||||
USA | 51.6 ± 16.8 yr | ||||
• Characteristics: Community dwelling | PA assessment: Survey for LTPA (97 activities) at every visit. | RR: 0.53 (p < 0.001) and | In older men, high intensity LTPA and PF appear to be of similar importance in reducing CHD risk. | ||
Prospective cohort | RR: 0.61 (p = 0.024) in older men. | ||||
D & B score = 12 | • Baltimore Longitudinal Study of Aging | PF assessment: Treadmill VO2 max test on alternate visits | Total LTPA was unrelated to coronary risk in either age group. | ||
With 3 levels of LTPA intensity substituted for total LTPA: | |||||
Unpaired t-tests and chi square tests. Cox Proportional hazards Analysis | RR = 0.39 for tertile 3 vs. tertile 1 | ||||
Tanasescu et al 2002 [252] | To assess the amount, type and intensity of PA in relation to risk of CHD in men. | • n = 44,452 | PA assessment: Questionnaire | • Number of Cases: 1,700 | Total PA, running, weight training, and walking were associated with a reduced risk for CVD. |
• Sex: Men | |||||
• Age: 40-75 yr | Age adjusted HR (95% CI) by total PA | ||||
USA | • Characteristics: Health professionals, no history of CHD and in good health | Total PA (MET hr/wk) | • Q1 = 1.00 (referent) | ||
Q1 = 0-6.32 | • Q2 = 0.85 (0.74 0.98) | ||||
Prospective cohort | Q2 = 6.33-14.49 | • Q3 = 0.78 (0.67-0.92) | |||
Q3 = 14.50-25.08 | • Q4 = 0.72 (0.62-0.83) | The average exercise intensity was associated with a reduced risk (independent of total PA). | |||
Q4 = 25.09-41.98 | • Q5 = 0.58 (0.49-0.68) | ||||
D & B score = 11 | Q5 = > 41.99 | p = .001 | |||
• Health Professionals follow-up study | Exercise intensity (METs) | Age adjusted HR (95% CI) by exercise intensity | |||
G1 = Low-1-4 | • G1 = .00 (referent) | ||||
G2 = Mod.-4-6 | • G2 = 0.94 (0.83-1.04) | ||||
G3 = High 6-12 | |||||
Walking pace independent of total volume of PA (mph) | • G3 = 0.83 (0.72-0.97) | ||||
p = 0.02 | |||||
Q1 = <2 | Age adjusted HR (95% CI) by walking pace | ||||
Q2 = 2-3 | • Q1 = 1.00 (referent) | ||||
Q3 = 3-4 | • Q2 = 0.72 (0.54-0.94) | ||||
Q4 = > 4 | • Q3 = 0.61 (0.45-0.81) | ||||
• Q4 = 0.51 (0.31-0.84) | |||||
Outcome Measure: Nonfatal MI or Fatal CHD occurring during follow-up | p <0.001 | ||||
Cox proportional HR | |||||
Vatten et al 2006 [253] | To investigate whether obesity- related CV mortality could be modified by PA. | • n = 54,284 (27,769 men; 26,515 women) | Length of Follow-up: 16 years | • Number of Cases: 2,462 | Increased PA reduces the risk of death in women, but not in men. |
Multivariate HR (95% CI), men | |||||
Norway | • Sex: Men and women | PA assessment: | • Q1 = 1.00 (referent) | ||
Questionnaire | • Q2 = 1.01 (0.89-1.16) | ||||
Prospective cohort | Age: ≥ 20 yr | Divided into 4 groups | • Q3 = 0.98 (0.84-1.14) | ||
• Characteristics: Free from CVD at baseline | Q1 = High | • Q4 = 1.18 (1.00-1.38) | |||
Q2 = Medium | p = 0.11 | ||||
D & B score = 12 | Q3 = Low | ||||
• HUNT study | Q4 = Never | Multivariate HR (95% CI), women | |||
Outcome Measure: Ischemic heart disease mortality | • Q1 = 1.00 (referent) | ||||
• Q2 = 1.23 (1.01-1.51) | |||||
• Q3 = 1.54 (1.24-1.91) | |||||
• Q4 = 1.52 (1.23-1.88) | |||||
Cox proportional HR | p <0.001 | ||||
Wagner et al 2002 [254] | To investigate if the association between PA patterns and incidence of coronary events could explain the gradient in CHD observed between 2 countries. | • n = 9,758 | Length of Follow-up: 5 yrs | Number of Cases: 167 hard CHD, 154 angina events | Beneficial effect of LTPA EE on hard CHD incidence in middle aged men. |
• Sex: Men and women | PA assessment: Questionnaire for LTPA, 3 groups: | Number of Dropouts: < 2% | |||
Ireland/France | • Age: 50-59 yr | ||||
• Characteristics: Healthy at Baseline | HR (95% CI), hard events | ||||
Prospective cohort | G1 = Lowest | • G1 = 1.00 (referent) | |||
G2 = Middle | • G2 = 0.73 (0.51-1.05) | ||||
G3 = Highest | • G3 = 0.66 (0.46-0.96) | ||||
D & B score = 12 | Outcome Measure: CHD hard events and Angina | p = 0.04 | |||
HR (95% CI), angina | |||||
• G1 = 1.00 (referent) | |||||
Cox proportional HR | • G2 = 0.83 (0.55-1.25) | ||||
• G3 = 1.28 (0.88-1.86) | |||||
p = 0.10 |
D & B score, Downs and Black quality score; YR, years; G, groups; CHD, coronary heart disease; RR, risk ratio; 95% CI, 95% confidence interval; PA, physical activity; VPA, vigorous physical activity; CV, cardio vascular; MET, metabolic equivalent; kcal/wk, kilocalories per week; Q, quartile or quintile; km/h, kilometers per hour; LTPA, leisure-time physical activity; HR, hazard ratio; OPA, occupational physical activity; kcal/kg/day kilocalories per kilogram per day; MI, myocardial infarction; ECG, electrocardiogram; kcal/kg/h kilocalories per kilogram per hour; mph, miles per hour; CVD, cardiovascular disease.