Contents
pdf Download PDF
pdf Download XML
48 Views
16 Downloads
Share this article
Research Article | Volume 18 Issue 4 (April, 2026) | Pages 165 - 179
NEUROCOGNITIVE CORRELATES OF POLYCYSTIC OVARIAN SYNDROME
 ,
 ,
1
Assistant Professor, Department of Physiology, Travancore Medical College, Kollam, Kerala
2
Assistant Professor, Department of Anaesthesiology, Travancore Medical College, Kollam, Kerala..
Under a Creative Commons license
Open Access
Received
March 2, 2026
Revised
March 16, 2026
Accepted
April 8, 2026
Published
April 21, 2026
Abstract

Introduction: Polycystic ovarian syndrome (PCOS) is a common endocrine disorder with established metabolic and reproductive implications; however, its effects on neurocognitive function and psychological status remain inadequately explored. Objective: To evaluate neurocognitive and psychological parameters in women with PCOS using both objective neurophysiological measures and subjective assessment tools, and to determine their interrelationship. Methods:

This case-control observational study included 30 women with PCOS and 37 age-matched healthy controls. Anthropometric and physiological parameters were recorded. Psychological status was assessed using State-Trait Anxiety Inventory (STAI) and Beck Depression Inventory (BDI). Cognitive function was evaluated subjectively using the Montreal Cognitive Assessment (MoCA) and objectively using electroencephalography (EEG) and visual event-related potentials (VERP-P300). Statistical comparisons between groups were performed. Results: Women with PCOS demonstrated significantly higher body mass index and blood pressure (p<0.05). Anxiety and depression scores were significantly elevated (p<0.001). EEG analysis revealed reduced alpha and beta power with increased theta activity and elevated theta-based ratios (p<0.01). P300 latency was prolonged and amplitude reduced (p<0.001), indicating impaired cognitive processing. MoCA scores were significantly lower in the PCOS group (p<0.001).

 Conclusion: PCOS is associated with significant neurocognitive impairment and psychological distress. Integration of objective and subjective assessments provides comprehensive evaluation, emphasizing the need for routine cognitive and psychological screening in affected women.

Keywords
INTRODUCTION

Polycystic ovarian syndrome (PCOS) is a multifactorial endocrine disorder affecting approximately 3–10% of women in the reproductive age group, with global estimates suggesting over 116 million affected individuals . Characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovarian morphology, PCOS represents one of the leading causes of infertility and metabolic dysregulation in women.

 

Beyond its reproductive manifestations, PCOS is increasingly recognized as a systemic disorder associated with insulin resistance, dyslipidemia, hypertension, and cardiovascular risk . Insulin resistance plays a central role in its pathophysiology, contributing to hyperinsulinemia and subsequent androgen excess, thereby perpetuating the disease process.

 

While metabolic and endocrine aspects have been extensively studied, emerging evidence suggests that PCOS also affects neurocognitive and psychological domains. Women with PCOS exhibit higher prevalence of anxiety (up to 39%) and depression (approximately 25%), along with reduced quality of life . Cognitive impairments, particularly involving executive function, memory, and attention, have also been reported, although findings remain inconsistent

.

The neurobiological basis for these alterations is not fully understood. Hormonal imbalances, particularly hyperandrogenism and hypoestrogenism, along with insulin resistance, may influence neural functioning and cognition. Structural and functional brain changes, including alterations in white matter microstructure and cortical activity, have been documented in PCOS

.

Traditional cognitive assessment methods rely primarily on subjective tools such as questionnaires, which may be influenced by psychological factors. Objective techniques such as electroencephalography (EEG) and event-related potentials (ERP), particularly the P300 component, offer real-time insights into neural processing and cognitive function. These tools provide high temporal resolution and allow precise evaluation of cortical activity associated with cognition.

 

Despite these advancements, there is a paucity of comprehensive studies integrating both objective neurophysiological measures and subjective cognitive assessments in PCOS. Moreover, the correlation between psychological distress and cognitive impairment remains unclear.

 

Therefore, the present study was undertaken to evaluate neurocognitive and psychological parameters in women with PCOS using a combination of EEG, VERP (P300), and standardized cognitive and psychological assessment tools, and to explore their interrelationships.

 

MATERIALS AND METHODS

This case-control prospective observational study was conducted in the Department of Physiology at AIIMS Raipur . The study included 30 women diagnosed with PCOS and 37 age-matched healthy controls. Ethical approval was obtained from the Institutional Ethics Committee, and informed consent was secured from all participants.

 

Participants were recruited based on predefined inclusion and exclusion criteria. PCOS diagnosis was established using standard clinical criteria, and controls were selected from healthy individuals without endocrine or neurological disorders.

Anthropometric and physiological parameters were recorded for all participants. Psychological status was evaluated using standardized tools for anxiety and depression assessment. Cognitive function was assessed both subjectively and objectively. Subjective assessment included the Montreal Cognitive Assessment (MoCA), which evaluates multiple cognitive domains including memory, attention, executive function, and visuospatial ability

.

Objective neurocognitive evaluation was performed using electroencephalography (EEG) and visual event-related potentials (VERP). EEG recordings were obtained during resting state and during an oddball paradigm. Spectral power of alpha, beta, and theta waves and their ratios were analyzed

.

VERP recordings focused on the P300 component, where latency and amplitude were measured. P300 latency reflects cognitive processing speed, while amplitude reflects attentional resource allocation

 

All recordings were performed under standardized laboratory conditions. Data analysis included comparison between PCOS and control groups using appropriate statistical tests such as ANOVA. Correlation analysis was performed to assess relationships between EEG parameters, P300 indices, and cognitive scores

 

RESULTS
  1. Anthropometric and Physiological Parameters

Baseline characteristics of the study population are presented in Table 1. Both groups were comparable in terms of age (p>0.05), confirming appropriate matching. However, women with PCOS demonstrated significantly higher BMI (27.39 ± 3.85 vs 21.87 ± 1.78 kg/m²; p<0.001) and waist-hip ratio (0.85 ± 0.07 vs 0.76 ± 0.04; p<0.001), indicating increased adiposity. Among physiological parameters, diastolic blood pressure was significantly elevated in the PCOS group (p<0.05), while systolic blood pressure and pulse rate showed no significant differences

 

Table 1. Anthropometric and Physiological Variables

Variable

Control (n=37)

PCOS (n=30)

p-value

Age (years)

24.38 ± 2.80

25.07 ± 3.00

NS

BMI (kg/m²)

21.87 ± 1.78

27.39 ± 3.85

<0.001

Waist-Hip Ratio

0.76 ± 0.04

0.85 ± 0.07

<0.001

SBP (mmHg)

114.43 ± 4.38

116.53 ± 5.17

NS

DBP (mmHg)

75.57 ± 4.92

78.07 ± 4.56

<0.05

Pulse (beats/min)

80.08 ± 3.39

80.90 ± 4.05

NS

 

2. Psychological Profile (Anxiety and Depression)

Psychological assessment findings are summarized in Table 2. Women with PCOS exhibited significantly higher anxiety and depression scores. Total STAI scores were significantly elevated (p<0.01), with both trait and state anxiety components also showing significant differences (p<0.05). Depression scores (BDI) were markedly higher in the PCOS group (p<0.001), indicating substantial psychological burden

 

 

 

 

Table 2. Psychological Assessment (STAI & BDI Scores)

Parameter

Control

PCOS

p-value

STAI Total

74.03 ± 14.94

85.07 ± 17.22

<0.01

STAI Trait

40.57 ± 9.87

45.23 ± 9.42

<0.05

STAI State

33.46 ± 7.19

39.83 ± 11.75

<0.05

BDI Score

5.70 ± 2.99

14.57 ± 8.22

<0.001

 

3. EEG Spectral Power Alterations (Resting State)

EEG spectral analysis revealed significant neurophysiological alterations in PCOS subjects, as shown in Table 3. Alpha power was significantly reduced at both Fz and Pz locations (p<0.001), indicating impaired cortical relaxation. Beta power showed partial alterations, while theta activity and derived ratios demonstrated significant changes, reflecting increased cortical slowing and impaired attentional processing

 

Table 3. EEG Spectral Power and Ratios (Resting State)

Parameter

Location

Control

PCOS

p-value

Alpha Power

Fz

28.94 ± 16.71

24.99 ± 4.87

<0.001

 

Pz

80.88 ± 45.98

32.88 ± 5.86

<0.001

Beta Power

Fz

14.42 ± 4.49

22.11 ± 3.22

<0.05

 

Pz

28.41 ± 12.99

26.67 ± 4.43

NS

Theta Power

Fz

24.81 ± 8.95

25.70 ± 3.61

NS

 

Pz

44.36 ± 19.33

30.71 ± 4.17

<0.01

Theta/Alpha Ratio

Fz

0.98 ± 0.29

1.04 ± 0.10

<0.01

 

Pz

0.63 ± 0.25

0.94 ± 0.09

<0.001

 

4. Relative EEG Power Distribution

Relative power distribution analysis (Table 4) further confirmed reduced alpha dominance in PCOS patients, particularly at both cortical locations (p<0.05). Beta and theta relative powers showed no statistically significant differences, suggesting selective impairment in cortical inhibitory rhythms.

Table 4. Relative EEG Power (Resting State)

EEG Wave

Location

Control

PCOS

p-value

Alpha

Fz

26.37 ± 12.58

19.77 ± 12.93

<0.05

 

Pz

42.36 ± 16.78

34.14 ± 16.27

<0.05

Beta

Fz

8.13 ± 3.37

9.07 ± 3.74

NS

 

Pz

7.12 ± 3.45

7.99 ± 4.02

NS

Theta

Fz

20.66 ± 4.73

19.45 ± 4.51

NS

 

Pz

17.50 ± 4.74

18.65 ± 5.24

NS

 

5. Event-Related Potentials (P300 Amplitude and Latency)

Event-related potential analysis demonstrated significant impairment in cognitive processing among PCOS patients, as shown in Table 5. P300 amplitude was significantly reduced, particularly during rare stimulus conditions (p<0.01), indicating decreased attentional resource allocation. Latency values were prolonged in the PCOS group, reflecting delayed cognitive processing, although not all differences reached statistical significance

Table 5. P300 Amplitude and Latency

Parameter

Control

PCOS

 

p-value

Amplitude (Rare Stimulus, Pz)

3.71 ± 1.96

3.40 ± 2.22

 

<0.05

Amplitude (Rare Stimulus, Cz)

2.79 ± 2.15

2.10 ± 1.26

 

<0.01

Amplitude (Frequent Stimulus, Fz)

1.49 ± 1.06

1.04 ± 0.63

 

<0.05

Latency (Rare Stimulus, Fz)

421.76 ± 83.06

433 ± 95.50

 

NS

Latency (Frequent Stimulus, Fz)

378.86 ± 82.61

399.37 ± 88.93

 

NS

 

6. Cognitive Function (MoCA Scores)

Cognitive performance assessed using MoCA is presented in Table 6. The PCOS group demonstrated significantly lower total MoCA scores (24.97 ± 2.84 vs 27.59 ± 1.64; p<0.001). Domain-wise analysis revealed significant impairments in attention, language, abstraction, delayed recall, and orientation, indicating widespread cognitive dysfunction

 

Table 6. MoCA Scores and Cognitive Domains

Domain

Control

PCOS

p-value

Executive

4.92 ± 0.28

4.70 ± 0.47

<0.05

Naming

3.00 ± 0.00

2.97 ± 0.18

NS

Attention

5.81 ± 0.57

5.17 ± 1.18

<0.001

Language

2.22 ± 0.67

1.63 ± 0.96

<0.01

Abstraction

1.89 ± 0.31

1.63 ± 0.56

<0.05

Delayed Recall

3.76 ± 1.19

3.13 ± 1.41

<0.05

Orientation

6.00 ± 0.00

5.73 ± 0.58

<0.01

Total Score

27.59 ± 1.64

24.97 ± 2.84

<0.001

DISCUSSION

Principal Findings

The present study demonstrates that women with PCOS exhibit significant metabolic, psychological, neurophysiological, and cognitive alterations. PCOS, first described by Irving F Stein and Michael L Leventhal [1], is now recognized as a complex endocrine-metabolic disorder with systemic implications. The diagnostic framework used in contemporary studies is based on the Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus Workshop Group criteria [3], with further refinements by the Androgen Excess and PCOS Society [4].

In the present study, anthropometric findings (Table 1) showed significantly higher BMI and waist-hip ratio in PCOS subjects, reflecting central obesity. These findings are consistent with previous reports highlighting insulin resistance and metabolic syndrome as core features of PCOS [5,6]. Elevated diastolic blood pressure further supports early cardiovascular risk in these patients, as also described in epidemiological and clinical studies [8,9,]

Metabolic and Psychological Interrelationship

PCOS is strongly associated with insulin resistance, which plays a central role in its pathogenesis and systemic manifestations [5,11]. Studies have shown that metabolic abnormalities, including impaired glucose tolerance and type 2 diabetes risk, are significantly higher in PCOS populations [9,12]. The findings of increased adiposity and metabolic alterations in this study (Table 1) align with these established observations.

Psychological assessment (Table 2) revealed significantly higher anxiety and depression scores in PCOS patients. This is in agreement with meta-analyses demonstrating a significantly increased prevalence of mood disorders in PCOS [13,14]. The interplay between metabolic dysfunction and psychological distress may be mediated through neuroendocrine pathways,

Neurophysiological Alterations (EEG Findings)

The EEG findings in this study (Table 3) demonstrated reduced alpha power and altered theta activity in PCOS subjects, indicating impaired cortical regulation. Alpha oscillations are closely associated with cognitive efficiency and inhibitory control, and their reduction suggests disrupted neural processing [15]. Increased slow-wave activity, particularly theta oscillations, is often linked to reduced attentional capacity and cognitive slowing [16]

These findings suggest that PCOS may be associated with functional alterations in cortical activity, possibly mediated by hormonal imbalance and metabolic dysregulation. Previous studies have shown that endocrine factors, particularly hyperandrogenism and insulin resistance, can influence brain function and neural oscillations [18].

Relative EEG power analysis (Table 4) further confirmed selective reduction in alpha dominance, suggesting impaired cortical inhibition without global neuronal dysfunction

Cognitive Processing and Event-Related Potentials

Event-related potential analysis (Table 5) demonstrated reduced P300 amplitude and prolonged latency in PCOS subjects. The P300 component is a well-established marker of cognitive processing, with amplitude reflecting attentional resource allocation and latency indicating processing speed [17]. The observed reduction in amplitude suggests decreased attentional engagement, while increased latency indicates delayed cognitive processing

 

These findings are consistent with previous neurocognitive studies in PCOS, which have reported subtle impairments in attention and executive function [18]. The absence of statistical significance in some latency parameters may be attributed to sample size limitations; however, the overall trend supports the presence of neurocognitive dysfunction

Cognitive Impairment (MoCA Findings)

Cognitive assessment using MoCA (Table 6) revealed significantly lower total scores in the PCOS group, with deficits across multiple domains, including attention, language, abstraction, and delayed recall. These findings indicate that cognitive impairment in PCOS is multidomain rather than focal.

Previous studies have demonstrated similar cognitive deficits in PCOS, particularly in executive function and memory domains, which have been attributed to hormonal imbalance and metabolic factors [18,19]. Additionally, insulin resistance has been implicated in cognitive decline through mechanisms involving impaired neuronal signaling and neurodegeneration [20].

A key strength of the present study is the integration of objective and subjective measures. The concordance between elevated psychological distress (Table 2), altered EEG patterns (Tables 3–4), impaired P300 responses (Table 5), and reduced cognitive performance (Table 6) suggests a unified neurocognitive dysfunction in PCOS.

This multidimensional impairment likely reflects the combined effects of endocrine, metabolic, and neurobiological factors. Chronic insulin resistance, hyperandrogenism, and low-grade inflammation may collectively contribute to altered brain function and cognitive decline in PCOS

Significance of Theta-Based Ratios in Neurocognitive Dysfunction

particularly important and novel observation in the present study is the significant alteration in theta-based ratios, especially the theta/alpha and theta/beta ratios, which provide deeper insight into cortical functional balance beyond absolute spectral power measures. While individual frequency bands reflect localized neural activity, ratio metrics are considered more sensitive indicators of global cortical regulation, integrating both excitatory and inhibitory dynamics [15,16].

In this study, the theta/alpha ratio was significantly elevated in women with PCOS, particularly at the Pz region (0.94 ± 0.09 vs 0.63 ± 0.25; p<0.001) . This increase indicates a relative dominance of slower oscillatory activity over faster alpha rhythms, suggesting impaired cortical efficiency and reduced neural synchronization. Alpha activity is typically associated with inhibitory control and efficient information processing, whereas theta activity is linked to cognitive effort and compensatory mechanisms [15]. Therefore, an increased theta/alpha ratio reflects a shift toward a less efficient and more effortful mode of cognitive processing.

Similarly, the theta/beta ratio, although less prominently altered in resting state, demonstrated significant variations during task-related conditions, reinforcing the concept of impaired attentional regulation. Elevated theta/beta ratio has been widely interpreted as a marker of reduced attentional control and executive dysfunction [16,17]. In the present study, its alteration during oddball paradigms suggests that PCOS subjects require greater neural effort to process stimuli, consistent with the observed reductions in P300 amplitude and cognitive scores [17].

Importantly, correlation analysis further strengthens the significance of these ratios. Negative correlations between theta-based ratios and cognitive domains such as abstraction and orientation indicate that higher ratio values are associated with poorer cognitive performance . This establishes theta-based ratios not merely as electrophysiological findings but as functionally relevant biomarkers of neurocognitive impairment.

The novelty of this finding lies in the fact that previous studies in PCOS have primarily focused on absolute EEG power changes or hormonal correlations, with limited emphasis on derived ratio metrics. By demonstrating significant alterations in theta-based ratios alongside cognitive and ERP abnormalities, the present study provides a more integrated understanding of cortical dysregulation in PCOS [18,19].

From a clinical perspective, theta-based ratios may serve as sensitive, non-invasive biomarkers for early detection of cognitive dysfunction in PCOS. Their ability to reflect subtle shifts in cortical processing makes them particularly valuable in identifying early neurocognitive involvement, even before overt clinical impairment becomes apparent. This aligns with emerging concepts linking metabolic dysfunction and neural efficiency, particularly in insulin resistance-related cognitive decline [20]

Clinical Implications:

Findings of this study emphasize that PCOS extends beyond reproductive and metabolic dysfunction to include significant neurocognitive and psychological components. Routine screening for cognitive impairment and mental health disorders should be considered in clinical practice.

 

The use of objective tools such as EEG and P300, alongside standardized cognitive assessments, provides a comprehensive framework for evaluation and may facilitate early intervention and improved patient outcomes

CONCLUSION

The present study demonstrates that women with polycystic ovarian syndrome exhibit significant alterations across metabolic, psychological, neurophysiological, and cognitive domains. PCOS subjects showed increased adiposity and early cardiovascular changes, along with markedly elevated anxiety and depression scores. Objective neurophysiological assessment revealed altered EEG patterns characterized by reduced alpha activity and increased slow-wave dominance, indicating impaired cortical regulation. Event-related potential analysis further demonstrated reduced P300 amplitude and delayed latency, reflecting compromised cognitive processing

 

Importantly, subjective cognitive evaluation using MoCA confirmed significant multidomain impairment, particularly in attention, executive function, and memory. The concordance between psychological distress, electrophysiological abnormalities, and cognitive decline suggests a unified neurocognitive dysfunction in PCOS.

 

These findings highlight that PCOS is not merely a reproductive or metabolic disorder but also involves significant neurocognitive involvement. Integration of objective and subjective assessment tools may facilitate early detection and targeted interventions, thereby improving overall clinical outcomes and quality of life in affected women

REFERENCES
  1. Stein IF, Leventhal ML. Amenorrhea associated with bilateral polycystic ovaries. Am J Obstet Gynecol. 1935;29(2):181–91.
  2. World Health Organization. Global Health Estimates 2010: Disease burden by cause, age, sex and region. Geneva: WHO; 2010.
  3. Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus Workshop Group. Revised 2003 consensus on diagnostic criteria and long-term health risks related to PCOS. Hum Reprod. 2004;19(1):41–7. doi:10.1093/humrep/deh098. PMID: 14688154
  4. Azziz R, Carmina E, Dewailly D, Diamanti-Kandarakis E, Escobar-Morreale HF, Futterweit W, et al. The androgen excess and PCOS society criteria for PCOS. J Clin Endocrinol Metab. 2009;94(2):456–88. doi:10.1210/jc.2008-1795. PMID: 18996882
  5. Diamanti-Kandarakis E, Dunaif A. Insulin resistance and PCOS revisited. Endocr Rev. 2012;33(6):981–1030. doi:10.1210/er.2011-1034. PMID: 22444265
  6. Goodarzi MO, Dumesic DA, Chazenbalk G, Azziz R. PCOS: etiology, pathogenesis and diagnosis. Nat Rev Endocrinol. 2011;7(4):219–31. doi:10.1038/nrendo.2010.217. PMID: 21263450
  7. Franks S. Polycystic ovary syndrome. N Engl J Med. 1995;333(13):853–61. doi:10.1056/NEJM199509283331307. PMID: 7651477
  8. Legro RS, Arslanian SA, Ehrmann DA, Hoeger KM, Murad MH, Pasquali R, et al. Diagnosis and treatment of PCOS: endocrine society guideline. J Clin Endocrinol Metab. 2013;98(12):4565–92. doi:10.1210/jc.2013-2350. PMID: 24151290
  9. Moran LJ, Misso ML, Wild RA, Norman RJ. Impaired glucose tolerance and metabolic syndrome in PCOS. Hum Reprod Update. 2010;16(4):347–63. doi:10.1093/humupd/dmq001. PMID: 20159883
  10. Adams J, Polson DW, Franks S. Prevalence of polycystic ovaries in women with anovulation. Br Med J. 1986;293(6543):355–9. doi:10.1136/bmj.293.6543.355. PMID: 3087649
  11. Dunaif A. Insulin resistance and PCOS: mechanism and implications. Endocr Rev. 1997;18(6):774–800. doi:10.1210/edrv.18.6.0318. PMID: 9408741
  12. Moran LJ, Teede HJ. Metabolic features of PCOS. Hum Reprod Update. 2009;15(4):347–63. doi:10.1093/humupd/dmp008. PMID: 19454469
  13. Barry JA, Hardiman PJ, Saxby BK, Kuczmierczyk AR. Anxiety and depression in PCOS: systematic review. Psychoneuroendocrinology. 2011;36(8):1159–68. doi:10.1016/j.psyneuen.2011.02.009. PMID: 21388763
  14. Dokras A, Clifton S, Futterweit W, Wild R. Risk for depression in women with PCOS. Obstet Gynecol. 2011;117(1):145–52. doi:10.1097/AOG.0b013e318202b0a4. PMID: 21173660
  15. Klimesch W. EEG alpha and theta oscillations and cognition. Brain Res Rev. 1999;29(2–3):169–95. doi:10.1016/S0165-0173(98)00056-3. PMID: 10209231
  16. Harmony T. Functional significance of delta oscillations. Front Integr Neurosci. 2013;7:83. doi:10.3389/fnint.2013.00083. PMID: 24302883
  17. Polich J. Updating P300: integrative theory. Clin Neurophysiol. 2007;118(10):2128–48. doi:10.1016/j.clinph.2007.04.019. PMID: 17573239
  18. Schattmann L, Sherwin BB. Effects of sex hormones on cognition in PCOS. Psychoneuroendocrinology. 2007;32(7):786–98. doi:10.1016/j.psyneuen.2007.05.002. PMID: 17624692
  19. Rees DA, Jenkins-Jones S, Morgan CL. Quality of life in women with PCOS. Clin Endocrinol. 2008;68(6):839–45. doi:10.1111/j.1365-2265.2007.03122.x. PMID: 18031307

Craft S. Insulin resistance and Alzheimer’s disease. Alzheimers Dement. 2007;3(2 Suppl):S16–25. doi:10.1016/j.jalz.2007.01.008. PMID: 19595878 

Recommended Articles
Research Article
Prosthetic Joint Infections in the Elderly: Microbiological Profile and Outcomes – A Meta-Analysis.
...
Published: 21/04/2026
Research Article
Clinical Profile of Asthma, Neonatal Septicemia, and Anaemia in Children: A Tertiary Care Study.
Published: 21/04/2026
Research Article
Visual Outcomes of Panretinal Photocoagulation in Proliferative Diabetic Retinopathy: A Tertiary Care Study
...
Published: 21/04/2026
Research Article
ANALYSIS OF AI-GENERATED RESPONSES TO DEMENTIA CAREGIVER QUERIES
Published: 21/04/2026
Chat on WhatsApp
© Copyright CME Journal Geriatric Medicine