Evidence map›Paper›PMID 36356047›Full record

ArticlePloS one2022

Development and validation of a novel cosmetics safety assessment scale (CSAS): Factual understanding of cosmetic safety and fostering international awareness.

Ammar Abdulrahman Jairoun, Sabaa Saleh Al-Hemyari, Moyad Shahwan, Shazia Jamshed, Justyna Bisgwa

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
0.6field-weighted citation impact, top 30% of its field
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, 3 citations in OpenAlex.

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

5 authors at 4 institutions in 2 countries.

Ammar Abdulrahman JairounSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Pulau Pinang, Gelugor, Malaysia.ORCID 0000-0002-4471-0878
Sabaa Saleh Al-HemyariSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Pulau Pinang, Gelugor, Malaysia.
Moyad ShahwanDepartment of Clinical Sciences, College of Pharmacy and Health Sciences, Ajman University, Ajman, United Arab Emirates.
Shazia JamshedDepartment of Clinical Pharmacy and Practice, Faculty of Pharmacy, Universiti Sultan Zainal Abidin, Kuala Terengganu, Malaysia.
Justyna BisgwaJustyna Bisgwa is an Independent Cosmetics Safety and Regulatory Affairs Specialist, Opole, Poland.
Ajman University · AEDubai Health Authority · AESultan Zainal Abidin University · MYUniversiti Sains Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalsified cosmetics are increasingly common especially online through social media networks and mobile applications.

objectivesThis study developed and validated a novel tool to evaluate the safety of cosmetics and personal care products in the United Araba Emirates (UAE).

methodThis is methodological validation study and the data were derived from a cross-sectional study conducted on students and staff at Ajman University (AU) in the UAE. The study sample was selected via simple random sampling. The link to the survey was sent to potential respondents via email, and the responses were analysed using SPSS version 26. Content validity, factor analysis, and known group validity were employed to construct and validate an instrument that will enable the identification of cosmetics safety. The instrument's reliability was evaluated using test-retest reliability, internal consistency, item internal consistency (IIC), and intraclass correlation coefficients (ICCs).

resultsThe study sample included 978 participants. The content validity index for the final 24-item scale was 0.84. The Kaiser-Meyer-Olkin value was 0.959 with a statistically significant Bartlett's test of sphericity (p <0.001). Factor analysis presented a three-component model. PCFA analysis found good fit values with 0.960 for the normed fit index, 0.977 for the comparative fit index, and 0.987 for the Tucker Lewis Index. All values were in excess of 0.95, and the root mean square error of approximation was below 0.06 (0.03); thus, the model had a good fit. Cronbach's alpha also showed good consistency of the overall instrument (0.963), and all factors had a Cronbach's alpha above 0.70. Each item on the instrument met the IIC correlation standard of ≥ 0.40, and there were good overall ICC statistics of 0.963 (0.959-0.966) for the instrument as a whole with statistical significance (p < 0.001). The instrument's test-retest reliability was assessed by correlating the respondents' identification scores at two time points with a four-week gap revealing a correlation coefficient of 0.870 (p-value <0.01). Participants holding a bachelor's degree were more likely to be able to identify safe and authentic cosmetics than those with a high-school educational level (p = 0.015).

conclusionsThis study developed a novel validated instrument to determine the safety of cosmetics. The final questionnaire uses 24 items on three dimensions (13 items on hazard information, eight items on product identity, and three items on product handling and storage). The tool is concise and easy to complete, and it is suitable for use among the general population. The use of this instrument can promote greater collaboration between the consumer health regulatory authorities and inspection authorities thus increasing consumer satisfaction and public participation.

Indexed as

CosmeticsCross-Sectional StudiesFactor Analysis, StatisticalHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesCosmetics

Identifiers

PMID36356047
PMCPMC9648786
OpenAlexW4308700345

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.