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.