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A case-control study of physical activity patterns and risk of non-fatal myocardial infarction.

Gong J, Campos H, Fiecas JM, McGarvey ST, Goldberg R, Richardson C, Baylin A - BMC Public Health (2013)

Bottom Line: There was an inverse association between total activity-related energy expenditure and AMI risk but it reached a plateau at high levels of physical activity (P for non-linearity=0.01).These data suggest that a light indoor activity pattern is associated with reduced AMI risk.PCA provides a new approach to investigate the relationship between physical activity and CVD risk.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Community Health, Brown University, Providence, RI 02912, USA.

ABSTRACT

Background: The interactive effects of different types of physical activity on cardiovascular disease (CVD) risk have not been fully considered in previous studies. We aimed to identify physical activity patterns that take into account combinations of physical activities and examine the association between derived physical activity patterns and risk of acute myocardial infarction (AMI).

Methods: We examined the relationship between physical activity patterns, identified by principal component analysis (PCA), and AMI risk in a case-control study of myocardial infarction in Costa Rica (N=4172), 1994-2004. The component scores derived from PCA and total METS were used in natural cubic spline models to assess the association between physical activity and AMI risk.

Results: Four physical activity patterns were retained from PCA that were characterized as the rest/sleep, agricultural job, light indoor activity, and manual labor job patterns. The light indoor activity and rest/sleep patterns showed an inverse linear relation (P for linearity=0.001) and a U-shaped association (P for non-linearity=0.03) with AMI risk, respectively. There was an inverse association between total activity-related energy expenditure and AMI risk but it reached a plateau at high levels of physical activity (P for non-linearity=0.01).

Conclusions: These data suggest that a light indoor activity pattern is associated with reduced AMI risk. PCA provides a new approach to investigate the relationship between physical activity and CVD risk.

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Related in: MedlinePlus

Relationship between total activity-related energy expenditure (METs/day) and risk of AMI fitted with natural cubic splines in a case control study, Costa Rica, 1994-2004. (The reference line (OR=1.0) goes through the median value of the first quintile; the solid line for ORs; the dashed lines for 95% confidence interval boundaries).
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Figure 3: Relationship between total activity-related energy expenditure (METs/day) and risk of AMI fitted with natural cubic splines in a case control study, Costa Rica, 1994-2004. (The reference line (OR=1.0) goes through the median value of the first quintile; the solid line for ORs; the dashed lines for 95% confidence interval boundaries).

Mentions: To further explore the association of AMI risk with the rest/sleep pattern, the light indoor activity pattern, and total activity-related energy expenditure, we fitted natural cubic splines. Models were controlled for the matching factors and potential confounders including annual income, smoking status, and daily saturated fat intake. As shown in Figure 1, there was a non linear relationship (a U-shaped relation) between the rest/sleep pattern and risk of AMI (P value for the non-linearity = 0.03). Consistent with the parametric models, there was an inverse linear association between the light indoor activity pattern and risk of AMI (P values for linear relation test = 0.001) (Figure 2). Figure 3 shows that the risk of AMI declined with the increase of total activity-related energy expenditure, but flattened out at high levels of physical activity (P value for the non-linearity = 0.01).


A case-control study of physical activity patterns and risk of non-fatal myocardial infarction.

Gong J, Campos H, Fiecas JM, McGarvey ST, Goldberg R, Richardson C, Baylin A - BMC Public Health (2013)

Relationship between total activity-related energy expenditure (METs/day) and risk of AMI fitted with natural cubic splines in a case control study, Costa Rica, 1994-2004. (The reference line (OR=1.0) goes through the median value of the first quintile; the solid line for ORs; the dashed lines for 95% confidence interval boundaries).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3585466&req=5

Figure 3: Relationship between total activity-related energy expenditure (METs/day) and risk of AMI fitted with natural cubic splines in a case control study, Costa Rica, 1994-2004. (The reference line (OR=1.0) goes through the median value of the first quintile; the solid line for ORs; the dashed lines for 95% confidence interval boundaries).
Mentions: To further explore the association of AMI risk with the rest/sleep pattern, the light indoor activity pattern, and total activity-related energy expenditure, we fitted natural cubic splines. Models were controlled for the matching factors and potential confounders including annual income, smoking status, and daily saturated fat intake. As shown in Figure 1, there was a non linear relationship (a U-shaped relation) between the rest/sleep pattern and risk of AMI (P value for the non-linearity = 0.03). Consistent with the parametric models, there was an inverse linear association between the light indoor activity pattern and risk of AMI (P values for linear relation test = 0.001) (Figure 2). Figure 3 shows that the risk of AMI declined with the increase of total activity-related energy expenditure, but flattened out at high levels of physical activity (P value for the non-linearity = 0.01).

Bottom Line: There was an inverse association between total activity-related energy expenditure and AMI risk but it reached a plateau at high levels of physical activity (P for non-linearity=0.01).These data suggest that a light indoor activity pattern is associated with reduced AMI risk.PCA provides a new approach to investigate the relationship between physical activity and CVD risk.

View Article: PubMed Central - HTML - PubMed

Affiliation: Department of Community Health, Brown University, Providence, RI 02912, USA.

ABSTRACT

Background: The interactive effects of different types of physical activity on cardiovascular disease (CVD) risk have not been fully considered in previous studies. We aimed to identify physical activity patterns that take into account combinations of physical activities and examine the association between derived physical activity patterns and risk of acute myocardial infarction (AMI).

Methods: We examined the relationship between physical activity patterns, identified by principal component analysis (PCA), and AMI risk in a case-control study of myocardial infarction in Costa Rica (N=4172), 1994-2004. The component scores derived from PCA and total METS were used in natural cubic spline models to assess the association between physical activity and AMI risk.

Results: Four physical activity patterns were retained from PCA that were characterized as the rest/sleep, agricultural job, light indoor activity, and manual labor job patterns. The light indoor activity and rest/sleep patterns showed an inverse linear relation (P for linearity=0.001) and a U-shaped association (P for non-linearity=0.03) with AMI risk, respectively. There was an inverse association between total activity-related energy expenditure and AMI risk but it reached a plateau at high levels of physical activity (P for non-linearity=0.01).

Conclusions: These data suggest that a light indoor activity pattern is associated with reduced AMI risk. PCA provides a new approach to investigate the relationship between physical activity and CVD risk.

Show MeSH
Related in: MedlinePlus