Multimorbidity, not medication count, tracked with poorer quality of life in older primary care patients
Quality of life in later life rarely turns on a single diagnosis. In this Polish cross-sectional study of community-dwelling adults aged 60 years and older receiving primary healthcare in the Podkarpackie region, the clearest signal came from disease burden itself: more reported health conditions were independently associated with worse quality of life in selected domains, while polypharmacy lost significance after adjustment.
The cohort included 101 older adults, all living in the community and receiving primary care. Investigators measured health-related quality of life with the validated Polish version of the WHOQOL-BREF questionnaire and paired those data with self-reported health conditions and regular medication use. Polypharmacy was defined conventionally as the regular use of five or more medications. The design was cross-sectional, so the analysis captured a snapshot rather than a trajectory, but the pattern across domains was still clinically informative.
The social relationships domain had the highest mean score at 66.09 ± 16.88. Physical health and environmental quality of life sat at the bottom, with mean scores of 51.41 ± 17.39 and 51.58 ± 16.01, respectively. Those lower scores matter because they reflect the domains most closely tied to day-to-day function, autonomy, mobility, access to support, and the lived burden of chronic illness. A patient can remain in the community and still face a steady erosion of health-related well-being long before hospitalization enters the picture.
Physical health and social connection carried the sharpest burden
In bivariate analyses, age, education, marital status, multimorbidity burden, and medication use all showed associations with one or more WHOQOL-BREF domains. Older age and lower educational attainment often map onto narrower reserves, more limited health literacy, and fewer resources for navigating chronic disease care. Marital status may reflect practical support, emotional buffering, and help with treatment routines. The clinical picture, however, sharpened when multivariable models entered the analysis.
A greater number of reported health conditions remained independently associated with lower physical health scores, with a regression coefficient of B = −3.57, 95% CI −6.40 to −0.74, p = 0.014. The same burden was also independently tied to lower social relationships scores, B = −5.10, 95% CI −8.22 to −1.98, p = 0.002. These are not abstract domain shifts. More comorbid illness can compress energy, reduce mobility, complicate routine activities, and place strain on social participation; once symptoms and appointments accumulate, social contact often shrinks in parallel.
A single additional disease can reverberate beyond the chart and into the patient’s social life.
Polypharmacy lost its independent signal after adjustment
Medication burden told a more complicated story. In unadjusted analyses, higher medication use was associated with lower quality-of-life scores across all four WHOQOL-BREF domains. Yet once age, marital status, and education were accounted for, polypharmacy was not independently associated with any domain. The attenuation suggests that the apparent medication effect in simple comparisons may have been acting as a proxy for underlying disease burden and sociodemographic vulnerability rather than functioning as a separate driver on its own.
That distinction matters in primary care. A medication list with five or more agents often signals multimorbidity, but the list itself does not fully explain why a patient feels worse. Some patients tolerate complex regimens with little perceived downside, while others experience a steep decline because the combination of chronic disease, symptoms, functional limitation, and social strain overwhelms day-to-day coping. In practical terms, medication review remains essential, but deprescribing conversations should not obscure the larger problem when disease accumulation is the real force eroding well-being.
What the WHOQOL-BREF pattern suggests for primary care
The highest mean score in social relationships may appear reassuring at first glance, but the broader pattern points to a familiar geriatric tension: social connection can remain relatively intact even as physical function and environmental quality worsen. When physical health scores are already low, clinicians should think beyond symptom control alone. Pain, fatigue, dyspnea, gait instability, sensory impairment, transportation barriers, and fragmented care can all compound into a lower lived experience of health even when individual conditions seem stable on paper.
The environmental domain score was also low, which is consistent with the practical constraints older adults often face: access to services, financial limitations, neighborhood safety, transportation, and support systems. In a primary care setting, those influences are easy to underestimate because they sit outside laboratory data and prescription records. Yet for community-dwelling older adults, the environment frequently determines whether chronic disease management is sustainable or exhausting.
The study’s setting in the Podkarpackie region of Poland gives the findings a defined local context, but the underlying message extends well beyond one region. As multimorbidity accumulates, quality of life does not fall evenly across domains; it tends to strike physical functioning first and then social participation, especially when support is limited. That pattern argues for routine assessment of quality of life in older adults, not only symptom counts or medication counts.
Why a cross-sectional study still matters at the bedside
Because the design was cross-sectional, causality cannot be assigned. A lower quality-of-life score may reflect the burden of chronic illness, but it may also influence how patients perceive and report health status. Self-reported conditions introduce another layer of uncertainty, and the sample size was modest at 101 participants. Even so, the direction of the associations is clinically plausible and consistent with geriatric care: multimorbidity carries real functional consequences, and the burden is often visible first in the physical and social domains that shape daily life.
The study also reinforces a familiar lesson for primary care teams working with older adults: counting medications is not enough. A patient with five drugs and one stable condition may function better than a patient with three drugs and several uncontrolled chronic illnesses. The more actionable target is the disease burden itself, along with the social and educational factors that shape how that burden is experienced.
For clinicians, the next conversation with an older patient should reach beyond prescription reconciliation. Asking about mobility, social participation, and the practical barriers to living well may capture decline that would otherwise remain hidden behind a clean medication list and a brief encounter.