Evidence map›Paper›PMID 41025357›Full record

SynthesisJournal of cosmetic dermatology2025

Population-Based Cosmetics Exposure Parameters: Survey Approaches and Cosmetics Usage Results From Different Countries.

Xinxin Yin, Ziyin Li, Jiajia Fu, Weizuo Liao, Jiangying Yan, Weiliang Wu, Zhini He, Feifei Xu, Jun Yan, Jia Song and 2 more

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in Journal of cosmetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Xinxin YinFood Safety and Health Research Center, NMPA Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, People's Republic of China.
Ziyin LiFood Safety and Health Research Center, NMPA Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, People's Republic of China.
Jiajia FuAmway (China) Co, Limited, Guangzhou, People's Republic of China.
Weizuo LiaoFood Safety and Health Research Center, NMPA Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, People's Republic of China.
Jiangying YanChina Association of Fragrance Flavour and Cosmetic Industries, Beijing, People's Republic of China.
Weiliang WuFood Safety and Health Research Center, NMPA Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, People's Republic of China.
Zhini HeFood Safety and Health Research Center, NMPA Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, People's Republic of China.
Feifei XuFood Safety and Health Research Center, NMPA Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, People's Republic of China.
Jun YanAmway (China) Co, Limited, Guangzhou, People's Republic of China.
Jia SongFood Safety and Health Research Center, NMPA Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, People's Republic of China.
Xianwu PengAmway (China) Co, Limited, Guangzhou, People's Republic of China.
Xingfen YangFood Safety and Health Research Center, NMPA Key Laboratory for Safety Evaluation of Cosmetics, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, People's Republic of China.

Funding

Industry Research Project on Population-based Cosmetics Exposure Investigation (Phase l)of China Association of Fragrance Flavour and Cosmetic IndustriesNational Key Scientific Instrument and Equipment Development Projects of China during the 14th Five-year Plan Period 2022YFF0711100
6 · The paper itself

Abstract

backgroundAccess to reliable exposure data is critical for conducting risk assessments of ingredients in cosmetic products. Cosmetic usage patterns, including product types, user percentages, daily product numbers, amounts, and frequency of use, can vary significantly across regions, countries, and populations. Therefore, obtaining comprehensive cosmetic usage data and establishing a robust database of exposure parameters are essential for accurately assessing the exposure levels of cosmetic ingredients. PROBLEM STATEMENT: Despite the critical need for exposure data, a systematic review analyzing existing survey approaches and methodologies for cosmetic usage has been lacking.

objectivesThis study aimed to compare cosmetic usage patterns across different regions and countries, systematically summarize survey approaches and methodologies, and obtain accurate and effective cosmetic exposure assessment parameters to facilitate the risk assessment of cosmetic products.

methodsA systematic review approach was used following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. PubMed and CNKI databases were retrieved in April 2025 for articles published between 2005 and 2025. With a total of 38 publications deemed relevant based on the established inclusion criteria, the following information was extracted: type of study, characteristics of the population (number, age, sex, and region of origin), period of data collection, types of products studied, methods of data collection, and consumption and/or exposure parameters obtained.

resultsThis study reviews surveys on cosmetics consumer exposure parameters conducted by the European Union, the United States, and some Asian countries over the past few decades. It analyzes the differences in research on cosmetics usage patterns across these regions/countries and summarizes domestic and international investigation approaches for cosmetic consumption surveys, including their advantages, disadvantages, and appropriate applications. The results demonstrated the current status of cosmetic usage pattern surveys in different countries/regions. There are differences in cosmetic usage patterns among countries in the European Union, the United States, and some Asian countries. Currently, cosmetics consumption data are mainly divided into qualitative data and quantitative data. Qualitative data include types of products, user usage, usage location, etc. Quantitative data comprise the percentage of users, frequency of use, and amount of cosmetics used (per use and per day), etc. These data were obtained through methods such as questionnaires, weighing approaches, etc. During the investigation, appropriate methods were selected to obtain the corresponding types of data. SIGNIFICANCE: The findings of this study will provide a valuable reference for initiating future investigations of cosmetics usage and provide a model for subsequent assessments of population exposure to ingredients in cosmetic products.

Indexed as

Consumer Product SafetyCosmeticsEuropean UnionHumansRisk AssessmentSurveys and QuestionnairesUnited StatesCosmeticscosmetics consumptioninvestigation approachesrisk assessmentsurvey approachesusage patterns

Identifiers

PMID41025357
PMCPMC12481470

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.