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Figures & Tables

Table 1

Numbers of participating hospitals, numbers of recruited patients and numbers and proportions of patient-reported referral to a CR programme, by country.

NUMBER OF CENTRESNUMBER OF RECRUITED PATIENTSREFERRAL TO A CR PROGRAMME*
Argentina719314.6% (28/192)
China1040012.4% (49/396)
Colombia739956.2% (221/393)
Egypt428912.4% (34/274)
Indonesia740658.2% (235/404)
Kenya31264.0% (5/125)
Malaysia540228.4% (111/391)
Nigeria1224229.4% (65/221)
Philippines640129.7% (116/390)
Poland929969.6% (208/299)
Portugal640839.4% (160/406)
Singapore640044.8% (174/388)
Tanzania21797.5% (13/174)
UAE440424.9% (65/261)
Total88454834.4% (1484/4314*)

[i] *N = 234 patients answered ‘Don’t know’ to the question.

Table 2

Association between patient characteristics and referral to a CR programme.

REFERRED TO PARTICIPATE IN A CR PROGRAMME
Sex
      Male35.0% (1193/3412)
      Female32.3% (291/902)
p = 0.13
Age at recruiting event
      <55 years35.7% (528/1480)
      55–64 years36.0% (567/1575)
      ≥65 years30.9% (389/1259)
p = 0.0078
Recruiting event
      Elective CABG70.4% (209/297)
      Elective PCI25.5% (240/941)
      Acute myocardial infarction STEMI38.0% (528/1389)
      Acute myocardial infarction Non-STEMI38.0% (339/893)
      Unstable angina/acute myocardial ischaemia21.2% (168/794)
p < 0.0001
Educational level*
      Low23.9% (263/1102)
      Intermediate38.6% (832/2157)
      High37.2% (386/1039)
p < 0.0001
Occupational status
      Full time employed38.9% (742/1909)
      Part time employed36.5% (62/170)
      Self employed30.8% (224/728)
      Unemployed21.7% (48/221)
      Retired32.8% (334/1017)
      Other27.3% (72/264)
p < 0.0001
Hospitalizations prior to the recruiting event
      Elective CABG
            No34.2% (1429/4184)
            Yes42.0% (47/112)
p = 0.088
      Elective PCI
            No34.4% (1249/3629)
            Yes33.5% (220/656)
p = 0.69
      STEMI or NSTEMI
            No33.6% (1232/3669)
            Yes40.3% (213/528)
p = 0.0028
      Unstable angina/Acute myocardial ischaemia
            No34.3% (1380/4024)
            Yes34.2% (68/199)
p = 0.99
      Angina pectoris
            No34.5% (1360/3940)
            Yes32.3% (96/297)
p = 0.49
      Stroke
            No34.4% (1438/4185)
            Yes37.5% (42/112)
p = 0.48
      Transient ischaemic attack
            No34.2% (1460/4263)
            Yes38.5% (10/26)
p = 0.68
      Heart failure
            No34.3% (1438/4197)
            Yes37.5% (33/88)
p = 0.57
      Peripheral artery disease
            No34.4% (1460/4249)
            Yes30.3% (10/33)
p = 0.72

[i] Note: significances obtained by using Fishers’ exact test.

*Educational level was categorised as low (primary school or lower), high (university or higher), or intermediate (all points between low and high).

Table 3

Attendance in a CR programme by country.

NPATIENT ATTENDANCE*
NO<50% OF SESSIONS≥50% OF SESSIONS
Argentina2892.9% (26)3.6% (1)3.6% (1)
China4924.5% (12)57.1% (28)18.4% (9)
Colombia22117.6% (39)14.9% (33)67.4% (149)
Egypt3444.1% (15)41.2% (14)14.7% (5)
Indonesia23521.3% (50)20.4% (48)58.3% (137)
Kenya50.0% (0)40.0% (2)60.0% (3)
Malaysia11130.6% (34)9.9% (11)59.5% (66)
Nigeria6470.3% (45)9.4% (6)20.3% (13)
Philippines11638.8% (45)21.6% (25)39.7% (46)
Poland20811.5% (24)2.4% (5)86.1% (179)
Portugal16015.0% (24)6.3% (10)78.8% (126)
Singapore17436.2% (63)17.2% (30)46.6% (81)
Tanzania1346.2% (6)30.8% (4)23.1% (3)
UAE6536.9% (24)18.5% (12)44.6% (29)
All1483**27.4% (407)15.4% (229)57.1% (847)

[i] *Among those who were referred to a CR programme; **For 1 referred patient the information on the actual attendance in a CR programme was missing.

Table 4

Association between patient characteristics and attendance in a CR programme (at least half of the sessions).

ATTENDANCE IN A CR PROGRAMME % ATTENDING AT ≥50% OF THE SESSIONS
Sex
      Male57.0% (680/1192)
      Female57.4% (167/291)
p = 0.95
Age at recruiting event
      <55 years53.5% (282/527)
      55–64 years57.0% (323/567)
      ≥65 years62.2% (242/389)
p = 0.031
Recruiting event
      Elective CABG68.9% (144/209)
      Elective PCI52.5% (126/240)
      AMI STEMI56.6% (299/528)
      AMI Non-STEMI61.8% (209/338)
      Unstable angina/myocardial ischaemia41.1% (69/168)
p < 0.0001
Educational level
      Low45.6% (120/263)
      Intermediate59.9% (498/832)
      High58.8% (227/386)
p = 0.00021
Occupational status
      Full time employed59.1% (438/741)
      Part time employed53.2% (33/62)
      Self employed41.1% (92/224)
      Unemployed41.7% (20/48)
      Retired67.7% (226/334)
      Other52.8% (38/72)
p < 0.0001
Income
      Low45.5% (171/376)
      Middle59.0% (566/960)
      High66.7% (54/81)
p < 0.0001
Table 5

Content of the cardiac rehabilitation programme (reported by the patients).

PLEASE SPECIFY WHAT YOU RECEIVED AS PART OF THIS PROGRAMME
WRITTEN MATERIALSSUPERVISED EXERCISE PROGRAMMEHEALTH PROMOTION WORKSHOPSSTRESS MODIFICATION AND RELAXATIONDIET/WEIGHT MODIFICATIONSMOKING CESSATION*OTHER
Argentina50.0% (1)50.0% (1)100.0% (2)0.0% (0)0.0% (0)50.0% (1)
China10.8% (4)75.7% (28)5.4% (2)8.1% (3)24.3% (9)50.0% (4)0.0% (0)
Colombia46.7% (85)50.5% (92)36.3% (66)17.6% (32)29.7% (54)9.7% (3)0.0% (0)
Egypt68.4% (13)47.4% (9)42.1% (8)52.6% (10)63.2% (12)45.5% (5)0.0% (0)
Indonesia22.2% (41)94.1% (174)44.9% (83)33.5% (62)47.0% (87)36.8% (28)0.5% (1)
Kenya20.0% (1)80.0% (4)20.0% (1)20.0% (1)60.0% (3)0.0% (0)
Malaysia46.8% (36)79.2% (61)55.8% (43)40.3% (31)46.8% (36)52.2% (12)0.0% (0)
Nigeria31.6% (6)10.5% (2)47.4% (9)15.8% (3)42.1% (8)50.0% (1)5.3% (1)
Philippines47.8% (33)65.2% (45)33.3% (23)26.1% (18)40.6% (28)17.4% (4)1.4% (1)
Poland72.8% (134)91.3% (168)59.2% (109)76.6% (141)79.3% (146)52.5% (32)1.1% (2)
Portugal64.7% (86)91.7% (122)60.9% (81)60.2% (80)72.2% (96)59.7% (37)1.5% (2)
Singapore70.3% (78)83.8% (93)33.3% (37)11.7% (13)26.1% (29)21.7% (5)1.8% (2)
Tanzania28.6% (2)28.6% (2)28.6% (2)28.6% (2)57.1% (4)0.0% (0)
UAE63.4% (26)41.5% (17)29.3% (12)19.5% (8)24.4% (10)16.7% (2)0.0% (0)
Total51.0% (546)76.4% (818)44.6% (478)37.7% (404)48.7% (522)40.1% (133)0.9% (10)

[i] *For patients smoking in the month prior to hospital admission.

Table 6

Lifestyle related characteristics according to attendance at CR programmes.

ATTENDANCE (IF REFERRED)
NO OR <50% OF SESSIONS≥50% OF SESSIONSSIGNIFICANCE
Smoking1, %20.8% (132/636)13.2% (112/847)p = 0.0001
Persistent smoking2, %54.0% (122/226)40.3% (104/258)p = 0.0034
Overweight3, %64.2% (408/636)66.9% (566/846)p = 0.27
Obesity4, %21.9% (139/636)22.9% (194/846)p = 0.66
Central overweight5, %65.4% (415/635)68.0% (575/845)p = 0.29
Central obesity6, %33.4% (212/635)34.6% (292/845)p = 0.66
Physical inactivity7, %64.5% (410/636)52.4% (444/847)p < 0.0001

[i] 1Self-reported current smoking or >10 ppm carbon monoxide in breath; 2Self-reported smoking or >10 ppm carbon monoxide in breath in patients reporting to be a smoker in the month prior to the recruiting event; 3Body mass index (BMI) ≥25 kg/m2; 4BMI ≥30 kg/m2; 5 Waist circumference ≥80 cm for women and ≥94 cm for men (South Asian and Chinese men ≥90 cm); 6Waist circumference ≥88 cm for females and ≥102 cm for males; 7Not performing regular physical activity ≥30 minutes on average 5 times a week

Table 7

Achievement of blood pressure, LDL-cholesterol and HbA1c targets.

ATTENDANCE (IF REFERRED)
NO OR <50% OF SESSIONS≥50% OF SESSIONSSIGNIFICANCE
(a) All patients
Systolic/diastolic BP
      ≥130/80 mmHg, %62.9% (400/636)53.8% (456/847)p = 0.0006
      ≥140/90 mmHg, %33.3% (212/636)25.6% (217/847)p = 0.0014
      ≥160/100 mmHg, %8.5% (54/636)5.8% (49/847)p = 0.049
LDL cholesterol
      ≥1.4 mmol/L, %86.7% (510/588)79.9% (617/772)p = 0.0011
      ≥1.8 mmol/L, %65.3% (384/588)57.1% (441/772)p = 0.0025
      ≥2.5 mmol/L, %32.3% (190/588)27.2% (210/772)p = 0.041
Diabetes1
      Self-reported, %43.7% (278/636)39.0% (330/847)p = 0.070
      Newly diagnosed diabetes2, %12.0% (36/299)8.3% (29/348)p = 0.15
      IGT3, %19.7% (59/299)26.0% (107/412)p = 0.059
(b) Treated patients
Systolic/diastolic blood pressure4
      <130/80 mmHg, %38.1% (219/575)45.8% (366/799)p = 0.0048
      <140/90 mmHg, %68.0% (391/575)74.1% (592/799)p = 0.015
      <160/100 mmHg, %91.8% (528/575)93.9% (750/799)p = 0.16
LDL cholesterol5
      <1.4 mmol/L, %14.1% (72/510)20.9% (150/716)p = 0.0026
      <1.8 mmol/L, %36.9% (188/510)44.6% (319/716)p = 0.0081
      <2.5 mmol/L, %70.2% (358/510)74.9% (536/716)p = 0.078
HbA1c in patients with diabetes6
      <53 mmol/mol (7.0%), %54.9% (135/246)62.9% (188/299)p = 0.066
      <64 mmol/mol (8.0%), %78.0% (192/246)82.9% (248/299)p = 0.16

[i] 1Including those reporting the use of glucose lowering drugs; 2According to OGTT-data: fasting glucose ≥7.0 mmol/L and/or 2h-postload glucose ≥11.1 mmol/L in patients without self-reported diabetes; 3IGT impaired glucose tolerance: Fasting plasma glucose <7.0 mmol/l and 2h glucose ≥7.8 and <11.1 mmol/l in patients without self-reported diabetes; 4In patients using beta-blockers, ACE inhibitors, angiotensin II receptor blockers, renin inhibitors, calcium channel blockers, diuretics or other anti-hypertensive drugs; 5In patients using statins, fibrates, nicotinic acid, cholesterol absorption inhibitors, PCSK9 inhibitors, resins or a fixed-dose combination of lipid lowering drugs; 6In patients with self-reported diabetes or using insulin, metformin, sulphonylurea, incretins (gliptins and/or GLP1 analogs), glinides, glitazones, SGLT2 inhibitors or alpha-glucosidase inhibitors.

Table 8

Reported cardio-protective medication and medication adherence comparing non-participants with participants.

ATTENDANCE (IF REFERRED)
NO OR <50% OF SESSIONS≥50% OF SESSIONSSIGNIFICANCE
Antiplatelets/anticoagulants1, %94.9% (600/632)95.2% (805/846)p = 0.90
Beta-blockers, %78.0% (492/631)83.7% (707/845)p = 0.0058
ACE inhibitors/ARBs2, %65.3% (413/632)70.6% (597/846)p = 0.036
Lipid-lowering drugs3, %87.8% (555/632)92.9% (786/846)p = 0.0010
The four drug pillars’, %49.8% (314/631)56.9% (481/845)p = 0.0071
High-intensity statins, %61.9% (390/630)64.4% (542/842)p = 0.35
Medication adherence*
      Lipid-lowering drugs, %90.8% (545/600)96.1% (788/820)p < 0.0001
      Blood-pressure-lowering drugs, %91.9% (514/559)96.9% (757/781)p < 0.0001
      Glucose-lowering drugs, %91.6% (274/299)95.8% (367/383)p = 0.034

[i] 1Including NOACs; 2Including renin inhibitors; 3Statins, fibrates, nicotinic acid, cholesterol absorption inhibitors, PCSK9 inhibitors, resins, or a fixed-dose combination of lipid-lowering drugs.

Table 9

Distribution of the INTERASPIRE Guideline Target Score for achieving lifestyle, risk factor, and therapeutic targets.

PARTICIPATION (IF ADVISED)
NO OR <50% OF SESSIONS≥50% OF SESSIONSSIGNIFICANCE
Guideline Target Scorep < 0.0001
      0–5, %26.5% (152/574)14.4% (109/757)
      6–7, %49.0% (281/574)50.1% (379/757)
      8–10, %24.6% (141/574)35.5% (269/757)
DOI: https://doi.org/10.5334/gh.1458 | Journal eISSN: 2211-8179
Language: English
Submitted on: May 10, 2025
Accepted on: Aug 4, 2025
Published on: Sep 2, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Kornelia Kotseva, Dirk De Bacquer, Catriona Jennings, John William McEvoy, Lars Ryden, Kausik K. Ray, Gregory Y. H. Lip, Iris Erlund, Sandra Ganly, Terhi Vihervaara, Agnieszka Adamska, Ana Abreu, Wael Almahmeed, Ade Meidian Ambari, Susan Connolly, Junbo Ge, Irene Gibson, Hosam Hasan-Ali, Sue Hennessy, Yong Huo, Piotr Jankowski, Rodney M. Jimenez, Jennifer Jones, Yong Li, Ahmad Syadi Mahmood Zuhdi, Abel Makubi, Amam Chinyere Mbakwem, Lilian Mbau, Jose Luis Navarro Estrada, Okechukwu Samuel Ogah, Elijah Nyainda Ogola, Adalberto Quintero–Baiz, Mahmoud Umar Sani, Maria Ines Sosa Liprandi, Jack Wei Chieh Tan, David R Thompson, Miguel Alberto Urina Triana, Tee Joo Yeo, David Wood, Guy G. De Backer, on behalf of the INTERASPIRE Investigators, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.