Peer Review History

Original SubmissionFebruary 17, 2026
Decision Letter - Mario Ulises Pérez-Zepeda, Editor

-->PONE-D-26-08134-->-->Multisystem frailty phenotypes and associated factors among older adults in Türkiye: a nationally representative study-->-->PLOS One

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Mario Ulises Pérez-Zepeda, M.D., Ph.D.

Academic Editor

PLOS One

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Reviewer #1: Yes

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Reviewer #1: Yes

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Reviewer #1: Yes

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Reviewer #1: Using TURKSTAT data, the authors examined the prevalence of frailty and its associated factors among 26,905 older adults, representing approximately 20.2 million adults in Turkey, using a multidimensional index. According to this nationally representative analysis, 48.6% of adults aged 50 and older in Turkey exhibited some degree of frailty; this prevalence is significantly higher than estimates reported in many high-income countries and in previous studies conducted within Turkey. It is also noteworthy that the frailty profiles identified in this study spanned the domains of mobility, sensory function, cognition, and functional status. However, this paper has the following limitations.

The reviewer believes it is necessary to conduct a comparative analysis to determine how the prevalence of frailty changes when widely used standard criteria—such as Fried’s phenotypic criteria or Rockwood’s cumulative deficit criteria—are applied to the study population. The reviewer believes that this analysis will be particularly significant if it leads to the identification of populations previously slipped by conventional criteria or of phenotypes that could not be measured previously.

Based on the findings of this study, the reviewer believes it is necessary to discuss potential preventive and improvement strategies for frailty in the future.

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Reviewer #1: Yes: Hiroshi Akasaka

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Revision 1

PART B: Reviewer #1 Comments (Dr. Hiroshi Akasaka)

General remark by Reviewer: "Using TURKSTAT data, the authors examined the prevalence of frailty and its associated factors among 26,905 older adults, representing approximately 20.2 million adults in Turkey, using a multidimensional index. According to this nationally representative analysis, 48.6% of adults aged 50 and older in Turkey exhibited some degree of frailty; this prevalence is significantly higher than estimates reported in many high-income countries and in previous studies conducted within Turkey. It is also noteworthy that the frailty profiles identified in this study spanned the domains of mobility, sensory function, cognition, and functional status. However, this paper has the following limitations."

Response: We thank the reviewer for this positive and accurate summary of our work.

Reviewer Comment 1: Comparative Analysis with Fried/Rockwood Criteria

Reviewer’s comment: "The reviewer believes it is necessary to conduct a comparative analysis to determine how the prevalence of frailty changes when widely used standard criteria—such as Fried’s phenotypic criteria or Rockwood’s cumulative deficit criteria—are applied to the study population. The reviewer believes that this analysis will be particularly significant if it leads to the identification of populations previously slipped by conventional criteria or of phenotypes that could not be measured previously."

Response: We thank the reviewer for this important suggestion. To address this point, we conducted a comparative analysis by constructing two conventional frailty classifications from the available survey data and comparing them with the LPA-derived multisystem profiles.

A modified Fried phenotype was operationalised as a three-item proxy using the closest available approximations to the original criteria: substantial walking difficulty (Washington Group score ≥2) as a proxy for slowness, substantial gripping difficulty (score ≥2) as a proxy for weakness, and no leisure-time physical activity as a proxy for low activity. Two of the five original Fried criteria — unintentional weight loss and exhaustion — were not available in the survey instrument. A Rockwood-style Frailty Index was constructed using a deficit accumulation approach incorporating 11 health deficits rescaled to a 0–1 range, with standard cutpoints applied.

The results revealed notable differences in case identification across approaches. The modified Fried phenotype yielded a similar overall frailty prevalence (49.2%) to the LPA multisystem approach (48.6%), whereas the Frailty Index produced a substantially higher estimate (87.9%). Cross-classification of LPA profiles against the modified Fried phenotype demonstrated high concordance for the Severe profile (93.2% classified as Fried frail) but substantial discordance for the Intermediate profile, in which 47.9% of individuals (n = 4,441; 16.5% of the total sample) were classified as robust by the modified Fried criteria despite exhibiting multisystem impairment. These discordant individuals were characterised by sensory and cognitive vulnerability (mean vision difficulty 0.59; 42.1% memory complaints) with motor impairment below the Fried threshold, confirming that physical phenotype-based criteria systematically overlook individuals whose vulnerability manifests primarily in non-motor domains. Only 96 individuals (0.4%) showed the reverse pattern (Fried frail, LPA robust), indicating that the multisystem approach captured nearly all individuals identified by the physical phenotype plus a substantial additional subpopulation. Cohen's kappa between LPA and the modified Fried phenotype was 0.400, consistent with prior evidence of moderate agreement across frailty instruments.

These findings have been incorporated into the revised manuscript as follows: the methodology is described in the Statistical analysis subsection (Methods), the key results are reported in a new paragraph in the Results section, a detailed discussion contextualising these findings within the broader frailty classification literature has been added to the Discussion section (with supporting references from Xue et al. 2020, Oviedo-Briones et al. 2021, and Van der Elst et al. 2019), and the full cross-classification tables and domain-specific impairment profiles are presented in a new Supplementary Section 11 (Table S13). We believe this analysis directly addresses the reviewer's concern by demonstrating both how frailty prevalence changes under different classification approaches and, importantly, by identifying the specific subpopulation — characterised by sensory-cognitive vulnerability — that is captured by the multisystem approach but missed by conventional physical phenotype criteria.

Reviewer Comment 2: Preventive and Improvement Strategies for Frailty

Reviewer’s comment: "Based on the findings of this study, the reviewer believes it is necessary to discuss potential preventive and improvement strategies for frailty in the future."

Response: We thank the reviewer for highlighting this important aspect. The Discussion section has been substantially expanded to include a more detailed and concrete discussion of preventive and improvement strategies. Specifically, two new paragraphs have been added (replacing the previous brief mention) that address the following points.

First, building on the finding that frailty is increasingly recognised as a potentially reversible condition, we discuss how the identification of sensory-cognitive vulnerability as a distinguishing feature of the intermediate frailty profile has direct implications for screening design. We argue that screening strategies focused exclusively on physical function—as emphasised in traditional Fried-based approaches—risk overlooking a sizeable at-risk subpopulation, and that effective early detection requires multidomain assessment extending beyond motor performance to include routine vision and hearing evaluation, cognitive monitoring, and enquiry into subjective memory complaints.

Second, we discuss specific intervention strategies, including the growing evidence supporting multicomponent programmes that combine physical exercise with cognitive training, nutritional counselling, and social engagement. We highlight the strong protective association observed for daily physical activity in this study (OR 0.49 for severe frailty) as reinforcing the potential of community-based exercise initiatives as a scalable, low-cost preventive strategy. For Türkiye specifically, we discuss the potential for embedding multidomain frailty screening within the existing primary care infrastructure, including family health centres and home-based care programmes. We also note that the pronounced sex and age gradients in frailty prevalence suggest that prevention efforts should prioritise women and adults approaching the 65-year threshold. Finally, we discuss the broader applicability of combining self-reported, questionnaire-based indicators with data-driven profiling methods such as LPA as a practical pathway for population-level frailty surveillance in settings where performance-based clinical measures are not routinely available.

Attachments
Attachment
Submitted filename: Revision Notes.docx
Decision Letter - Mario Ulises Pérez-Zepeda, Editor

Multisystem frailty phenotypes and associated factors among older adults in Türkiye: a nationally representative study

PONE-D-26-08134R1

Dear Dr. Yılmaz,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

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Kind regards,

Mario Ulises Pérez-Zepeda, M.D., Ph.D.

Academic Editor

PLOS One

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Reviewers' comments:

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-->Comments to the Author

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Reviewer #1: All comments have been addressed

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-->2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. -->

Reviewer #1: Yes

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-->3. Has the statistical analysis been performed appropriately and rigorously? -->

Reviewer #1: Yes

**********

-->4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.-->

Reviewer #1: Yes

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-->5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.-->

Reviewer #1: Yes

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-->6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)-->

Reviewer #1: The authors revised the manuscript in response to each comment the reviewer pointed out, and the revised version is satisfactory. Therefore, the reviewer thinks that the revised version is now suitable for publication.

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Reviewer #1: No

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Formally Accepted
Acceptance Letter - Mario Ulises Pérez-Zepeda, Editor

PONE-D-26-08134R1

PLOS One

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Academic Editor

PLOS One

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