Evidence map›Paper›PMID 41704680›Full record

ArticleFrontiers in medicine2026

Research on differences in scalp aging characteristics and visual attention between genders in the Chinese population.

Susu Ding, Dangdang Cheng, Rong Qi, Feifei Wang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Susu DingShanghai Jiyan Biomedical Development Co., Ltd., Shanghai, China.
Dangdang ChengShanghai Jiyan Biomedical Development Co., Ltd., Shanghai, China.
Rong QiYunnan Botanee Bio-technology Group Co., Ltd., Yunnan, China.
Feifei WangYunnan Botanee Bio-technology Group Co., Ltd., Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to explore the differences in characteristics of scalp aging and visual attention across genders in a Chinese population. Methods: This study recruited 79 Han Chinese participants aged 31-47 years from Shanghai, China. Using a combination of non-invasive instrumental measurements, eye-tracking technology, and subjective questionnaires, we analyzed scalp aging manifestations through three physiological dimensions-barrier function, microecology, and scalp skin color-while examining visual attention patterns toward scalp aging features through eye-tracking and assessing subjective cognitive and emotional responses via questionnaires. Results: The results revealed no significant gender differences in scalp barrier function. Instrumental measurements showed no notable differences in stratum corneum moisture content or transepidermal water loss (TEWL) between genders, and subjective evaluations of moisture, glossiness, greasiness, and tightness also showed no significant variations. However, significant gender differences were observed in scalp microecology: women exhibited higher dandruff area proportion and pH, along with more severe subjective concerns regarding hair loss. In terms of scalp skin color, men had higher Conclusion: This study revealed significant gender-based differences in physiological characteristics and visual attention patterns associated with scalp aging in the Han Chinese population in Shanghai, China. These findings provide a scientific basis for understanding scalp aging and for developing related products.

Indexed as

eye-trackinggender differencenon-invasiveinstrumental measurementscalp agingsubjective questionnairesvisual attention

Identifiers

PMID41704680
PMCPMC12908030

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.