ArticleAnais brasileiros de dermatologia
Clinical and epidemiological characteristics and associated factors of hair graying: a population-based, cross-sectional study in Turkey.
Article in Anais brasileiros de dermatologia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Hair greying associated with rosemary use: a cross-sectional study in Saudi Arabia.Dermatology reports · 2026Article
- A Cross-Sectional Study on the Prevalence of Premature Canities Among University Students in the Eastern Province, Kingdom of Saudi Arabia.Medicina (Kaunas, Lithuania) · 2026Article
- Autophagy and Premature Graying of Hair: The Role of LC3 as a Biomarker in a Case-Control Study.Dermatology practical & conceptual · 2025Article
- Clinical, epidemiological characteristics and associated factors of hair greying in Lagos, Nigeria.Ghana medical journal · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHair graying is common in humans; but there is scarce data about its epidemiology.
objectiveThis study aimed to evaluate the clinical and epidemiological characteristics and associated factors of hair graying.
methodsA total of 1541 volunteers between 15 and 65 years old were included in this population-based, cross-sectional study. A questionnaire on characteristics and associated factors of hair graying was filled in by face-to-face interview method.
resultsOne thousand sixty three participants (69.0%) had hair graying. The mean onset age of hair graying was 32.9±9.8 years. It was 31.7±9.5 years in females, whereas 33.7±10.0 years in males (p=0.001). The most common involved area of hair graying at the onset and at the time of the interview was temporal region. When it was evaluated by gender, it was temporal in males whereas parietal in females. Hair graying was more severe in males than in females and in late-onset hair graying than early-onset hair graying (respectively, p=0.000, p<0.001). The most common involved area at the onset and at the present was temporal in severe hair graying; whereas parietal in mild hair graying. In logistic regression analysis, age, educational status, presence of hair loss, skin type, family history of early-onset hair graying and anxiety were independently related to hair graying (p<0.05). STUDY LIMITATIONS: The study was performed in only Turkish individuals. The recall biases were another limitations.
conclusionMale gender, late-onset and temporal-onset of hair graying may be considered to be poor prognostic factors for hair graying. There is need for further epidemiological studies in people with different ethnic origin to illuminate the clinical and epidemiological characteristics and associated factors of hair graying.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.