year-by-year trend analysis in modifiable risk factors reduction

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Year-by-year trend analysis in modifiable risk factors reduction after completing cardiac rehabilitation across different age groups A. Al Quait, PD. Patrick Doherty - University Of York, Health Sciences, York, United Kingdom BACKGROUND This study sought to investigate the year-by-year trends in the reduction in modifiable risk factors, after completing a CR, across different age groups. The findings of this study will help CR commissioners and providers to tailor their programmes to ensure all age groups gain the most from their CR experience. OBJECTIVE Patients were stratified into two age groups; young (18 – 65) and elderly (>65) years. Pre and post CR assessments were used to compute the difference in change in eight modifiable risk factors (BMI, Waist Size, Hyperlipidaemia, Hypertension, Smoking, Physical Inactivity, Anxiety and Depression). Pearson’s chi-square test was used to examine the association between the two age groups and outcome change. Data was used from the National Audit of Cardiac Rehabilitation (NACR), covering the period 01 July 2010 to 30 June 2015. METHODS A total of 203,012 young patients (55.1±7.9 years, 78% male) and 262,813 elderly patients (76.1±6.9 years, 63.9% male) were analysed. Population baseline characteristics (Table 1). The ratio of females at baseline is higher in the elderly group except for smokers (21.9% in young vs. 15.4% in elderly) (Figure 1). A positive correlation was found between older age and change in body-shape risk factors (Table 2). Younger patients achieved better outcomes in all other risk factors (Table 3). RESULTS Cardiac Rehabilitation (CR) programs are designed to provide a range of lifestyle and medical interventions to reduce cardiovascular mortality and morbidity through the promotion of a healthy lifestyle and reduction in risk factors. Recent data indicate that CR benefits vary by age group and it has been shown that one size CR program may not fit all patient groups. Age is a significant predictor of outcomes following CR. While elderly patients achieve better outcomes in body shape risk factors, younger patients achieve much better outcomes across a wider range of risk factors particular in regards to smoking cessation. RESULTS CONCLUSIONS FUNDING Factor Young group (< 65 years) Elderly group (> 65 years) Difference significance Effect size N 203,012 262,813 <0.001 r = 0.01 Mean age (SD) 55.1 (7.9) 76.1 (6.9) <0.001 r = 0.83 % Male 78% 63.9% <0.001 V = 0.15 Ethnicity (British) 82.5% 89.1% <0.001 V = 0.11 Employment (FT or PT) 49.7% 6.3% <0.001 V = 0.70 %Obesity (BMI > 30) 29.3% 18.9% <0.001 V = 0.12 % Males large waist circumference 37.5% 37.3% 0.60 V = 0.00 % Female large waist circumference 65.8% 59.1% <0.001 V = 0.07 % Smokers 38% 14.4% <0.001 V = 0.27 % Comorbidities (+3) 15.8% 22.7% <0.001 V= 0.09 % Total cholesterol (+4) 73.7% 60.7% <0.001 V = 0.14 % Clinically anxious 19% 9.6% <0.001 V = 0.17 % Clinically depressed 10.3% 5.9% <0.001 V = 0.09 % Hypertensive 72.6% 64.6% <0.001 V = 0.09 Fitness level (SD) 402.1m (166.2) 279.4m (136.5) <0.001 r =0.14 Outpatient CR duration (SD) 59.5 (46.6) 61.5 (46.5) 0.001 r = 0.02 Figure 1. Ratio of Female patients at baseline. Table 3. Outcomes where young patients performed better than elderly patients. Table 1. Baseline characteristics of both groups. Risk factor N P value Odds ratio BMI Young 8,594 <0.001 1.3 Elderly 6,131 Waist size male Young 4,122 0.145 1.1 Elderly 3,768 Waist size female Young 1,569 0.016 1.3 Elderly 2,189 Table 2. Outcomes where elderly patients performed better than young patients Risk factor N P value Odds ratio Total cholesterol Young 1,869 <0.001 1.3 Elderly 3,407 Blood pressure Young 6,308 <0.001 1.4 Elderly 9,727 Smoking Young 18,351 <0.001 3.3 Elderly 18,550 ISWT Young 2,972 <0.001 1.7 Elderly 2,765 Anxiety Young 28,940 <0.001 1.7 Elderly 31,435 Depression Young 28,883 <0.001 1.3 Elderly 31,405 This research was support by the British Heart Foundation (BHF) Cardiovascular Care and Education Research Group which is supported by a grant from the BHF.

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Page 1: Year-by-year trend analysis in modifiable risk factors reduction

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Year-by-year trend analysis in modifiable risk factors reductionafter completing cardiac rehabilitation across different age groupsA. Al Quait, PD. Patrick Doherty - University Of York, Health Sciences, York, United Kingdom

BACKGROUND

This study sought to investigate the year-by-yeartrends in the reduction in modifiable risk factors,after completing a CR, across different age groups.The findings of this study will help CRcommissioners and providers to tailor theirprogrammes to ensure all age groups gain the mostfrom their CR experience.

OBJECTIVE

Patients were stratified into two age groups; young(18 – 65) and elderly (>65) years. Pre and post CRassessments were used to compute the differencein change in eight modifiable risk factors (BMI,Waist Size, Hyperlipidaemia, Hypertension,Smoking, Physical Inactivity, Anxiety andDepression). Pearson’s chi-square test was used toexamine the association between the two agegroups and outcome change. Data was used fromthe National Audit of Cardiac Rehabilitation (NACR),covering the period 01 July 2010 to 30 June 2015.

METHODS

• A total of 203,012 young patients (55.1±7.9 years, 78% male) and 262,813 elderly patients (76.1±6.9 years, 63.9% male) were analysed.

• Population baseline characteristics (Table 1).

• The ratio of females at baseline is higher in the elderly group except for smokers (21.9% in young vs. 15.4% in elderly) (Figure 1).

• A positive correlation was found between older age and change in body-shape risk factors (Table 2).

• Younger patients achieved better outcomes in all other risk factors (Table 3).

RESULTS

Cardiac Rehabilitation (CR) programs are designedto provide a range of lifestyle and medicalinterventions to reduce cardiovascular mortalityand morbidity through the promotion of a healthylifestyle and reduction in risk factors. Recent dataindicate that CR benefits vary by age group and ithas been shown that one size CR program may notfit all patient groups.

Age is a significant predictor of outcomes followingCR. While elderly patients achieve better outcomesin body shape risk factors, younger patients achievemuch better outcomes across a wider range of riskfactors particular in regards to smoking cessation.

RESULTS

CONCLUSIONS

FUNDING

Factor Young group

(< 65 years)

Elderly group

(> 65 years)

Difference

significance

Effect size

N 203,012 262,813 <0.001 r = 0.01

Mean age (SD) 55.1 (7.9) 76.1 (6.9) <0.001 r = 0.83

% Male 78% 63.9% <0.001 V = 0.15

Ethnicity (British) 82.5% 89.1% <0.001 V = 0.11

Employment (FT or PT) 49.7% 6.3% <0.001 V = 0.70

%Obesity (BMI > 30) 29.3% 18.9% <0.001 V = 0.12

% Males large waist circumference 37.5% 37.3% 0.60 V = 0.00

% Female large waist circumference 65.8% 59.1% <0.001 V = 0.07

% Smokers 38% 14.4% <0.001 V = 0.27

% Comorbidities (+3) 15.8% 22.7% <0.001 V= 0.09

% Total cholesterol (+4) 73.7% 60.7% <0.001 V = 0.14

% Clinically anxious 19% 9.6% <0.001 V = 0.17

% Clinically depressed 10.3% 5.9% <0.001 V = 0.09

% Hypertensive 72.6% 64.6% <0.001 V = 0.09

Fitness level (SD) 402.1m (166.2) 279.4m (136.5) <0.001 r =0.14

Outpatient CR duration (SD) 59.5 (46.6) 61.5 (46.5) 0.001 r = 0.02

Figure 1. Ratio of Female patients at baseline.

Table 3. Outcomes where young patients performed better than elderly patients.

Table 1. Baseline characteristics of both groups.

Risk factor N P value Odds ratio

BMIYoung 8,594

<0.001 1.3Elderly 6,131

Waist size maleYoung 4,122

0.145 1.1Elderly 3,768

Waist size femaleYoung 1,569

0.016 1.3Elderly 2,189

Table 2. Outcomes where elderly patients performed better than young patients

Risk factor N P value Odds ratio

Total cholesterolYoung 1,869

<0.001 1.3Elderly 3,407

Blood pressureYoung 6,308

<0.001 1.4Elderly 9,727

SmokingYoung 18,351

<0.001 3.3Elderly 18,550

ISWTYoung 2,972

<0.001 1.7Elderly 2,765

AnxietyYoung 28,940

<0.001 1.7Elderly 31,435

DepressionYoung 28,883

<0.001 1.3Elderly 31,405

This research was support by the British HeartFoundation (BHF) Cardiovascular Care and EducationResearch Group which is supported by a grant fromthe BHF.