Lifestyle Behaviours and Antiplatelet Medication Adherence Among Post-Percutaneous Coronary Intervention Patients in Saudi Arabia: Implications for Holistic Cardiovascular Nursing Care.

For nursing students

Study summary

This cross-sectional survey looked at how lifestyle behaviours and medication-taking come together in patients recovering from percutaneous coronary intervention (PCI), a procedure that opens blocked heart arteries with a stent or balloon. The researchers studied 236 Saudi adults who had undergone PCI within the previous 12 months at two tertiary cardiac centres in Riyadh, Saudi Arabia. Their goal was to describe smoking and physical-activity patterns, measure how well patients kept taking their antiplatelet medication, and explore whether lifestyle factors were linked to adherence. Antiplatelet medications, such as aspirin and similar drugs, are a cornerstone of secondary prevention after PCI because they help keep the treated artery from re-clotting; stopping them early can raise the risk of serious events. Because this was a survey done at one point in time, it can describe what patients reported and look for associations, but it cannot prove that one thing causes another.

The sample was mostly male (73.7%) and older, with 83.9% aged over 50. The findings paint a concerning picture of health behaviours in this group. About one in four participants (23.3%, or 55 of 236) reported smoking, and physical inactivity was very common: 57.2% (135 participants) said they never engaged in regular exercise such as walking, swimming, or other structured activity. Medication adherence, measured with the self-reported Morisky Medication Adherence Scale-8 (MMAS-8), was also suboptimal, with 55.4% (129 participants) classified as having low adherence. In other words, unhealthy lifestyle behaviours and poor medication-taking were each common, and they tended to co-occur in the same patients.

The researchers then used statistical models to see whether lifestyle factors predicted adherence. In the multivariable analysis, which adjusted for conditions including hypertension, diabetes, arthritis, and heart disease, arthritis was the only statistically significant predictor of adherence (adjusted odds ratio 2.81, 95% confidence interval 1.01 to 7.84, p = 0.048). Importantly, the authors themselves cautioned that this result does not survive Bonferroni correction for multiple comparisons and should be read as hypothesis-generating, not as a confirmed effect. Smoking (adjusted odds ratio 0.52) and physical inactivity (adjusted odds ratio 0.45) showed inverse trends with adherence, but neither reached statistical significance. So the honest bottom line is that the study documented how widespread these problems are, but it did not confirm a firm statistical link between lifestyle habits and adherence, except for the tentative arthritis signal.

Why does this matter to nursing? The authors frame their results as a rationale for developing integrated nursing interventions that address smoking, physical inactivity, and medication non-adherence at the same time, rather than treating them as separate problems. Nurses are often the professionals who counsel cardiac patients about lifestyle, teach them why antiplatelet therapy must not be stopped without medical advice, and follow up after discharge. This paper reminds students that secondary prevention is holistic: a patient who quits smoking but stops their medication, or who takes pills faithfully but never exercises, is only partly protected. It also highlights the value of routinely screening for adherence using tools like the MMAS-8 and asking about exercise and smoking in a respectful, non-judgmental way.

A few cautions are worth keeping in mind. This study describes patients in a specific setting (two Riyadh centres) and culture, so the exact numbers may not transfer to other populations. Self-reported adherence and self-reported activity can be affected by memory and social desirability, meaning real behaviour could be even less favourable. Most importantly, students should not read the arthritis finding as clinical guidance; the authors clearly labelled it hypothesis-generating. Nurses should never adjust or stop a patient's antiplatelet medication based on lifestyle factors alone, and any concerns about adherence, side effects, or bleeding should be discussed with the prescribing team. The real takeaway is the need for well-designed, adequately powered future trials of nurse-led programs that tackle multiple risk factors together, and the everyday nursing skill of appraising evidence critically, noticing when a finding is preliminary rather than definitive.

For educators

Teaching and appraisal notes

Use this cross-sectional survey (n = 236 post-PCI adults in Riyadh) to teach measured interpretation of descriptive, hypothesis-generating research. It is an excellent case for distinguishing prevalence description from causal inference: the study documents high co-occurrence of smoking (23.3%), physical inactivity (57.2%), and low antiplatelet adherence (55.4% by MMAS-8), yet finds no confirmed lifestyle-adherence association. The single significant predictor (arthritis, AOR 2.81, p = 0.048) is explicitly flagged by the authors as failing Bonferroni correction, giving a ready-made teaching moment on multiple-comparison correction, confidence intervals that hug 1.0, and the danger of over-reading a marginal p-value. Ask students to critique self-report measurement bias, the single-time-point design, and generalizability limits from a two-centre male-predominant sample. Connect the discussion to holistic cardiovascular secondary prevention and the nurse's role in adherence counselling, motivational interviewing, and smoking-cessation and activity support. The paper also models scientific humility: the authors position their work as a rationale for adequately powered prospective trials of integrated nurse-led interventions, which is a useful frame for discussing why negative or inconclusive findings still advance a field and how research questions mature from descriptive to interventional.