ConceptioArchiveNCBI PubMed Central
NCBI PubMed Centralopen access

Why are people cosmetic skin whitening? A systematic review.

Williams SN et al. · ncbi_pmc
NCBI PubMed Central · Papers · License: Open Access
Open Source ↗Direct PDF ↓
cognitive-psychology
cognitive psychology

Why are people cosmetic skin whitening? A systematic review - PMC Skip to main content An official website of the United States government Here's how you know Here's how you know Official websites use .gov A .gov website belongs to an official government organization in the United States. Secure .gov websites use HTTPS A lock ( Lock Locked padlock icon ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites. Search Log in Dashboard Publications Account settings Log out Search… Search NCBI Primary site navigation Search Logged in as: Dashboard Publications Account settings Log in Search PMC Full-Text Archive Search in PMC Journal List User Guide PERMALINK Copy As a library, NLM provides access to scientific literature. Inclusion in an NLM database does not imply endorsement of, or agreement with, the contents by NLM or the National Institutes of Health. Learn more: PMC Disclaimer | PMC Copyright Notice BMC Public Health . 2026 Mar 10;26:1256. doi: 10.1186/s12889-026-26649-1 Search in PMC Search in PubMed View in NLM Catalog Add to search Why are people cosmetic skin whitening? A systematic review Simon N Williams Simon N Williams 1 Behavioural Insights Unit, World Health Organization, Geneva, Switzerland 2 School of Psychology, Swansea University, Swansea, UK Find articles by Simon N Williams 1, 2, ✉ , Trevor Webb Trevor Webb 1 Behavioural Insights Unit, World Health Organization, Geneva, Switzerland 3 College of Medicine and Public Health, Flinders University, Bedford Park, South Australia Australia Find articles by Trevor Webb 1, 3 , Anna-Leena Lohiniva Anna-Leena Lohiniva 1 Behavioural Insights Unit, World Health Organization, Geneva, Switzerland Find articles by Anna-Leena Lohiniva 1 , Elena Jardan Elena Jardan 4 Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland Find articles by Elena Jardan 4 , Lesley Onyon Lesley Onyon 4 Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland Find articles by Lesley Onyon 4 , Elena Altieri Elena Altieri 1 Behavioural Insights Unit, World Health Organization, Geneva, Switzerland Find articles by Elena Altieri 1 Author information Article notes Copyright and License information 1 Behavioural Insights Unit, World Health Organization, Geneva, Switzerland 2 School of Psychology, Swansea University, Swansea, UK 3 College of Medicine and Public Health, Flinders University, Bedford Park, South Australia Australia 4 Department of Environment, Climate Change and Health, World Health Organization, Geneva, Switzerland ✉ Corresponding author. Received 2025 Jun 11; Accepted 2026 Feb 10; Collection date 2026. © The Author(s) 2026 Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ . PMC Copyright notice PMCID: PMC13085328  PMID: 41808097 Abstract Background Cosmetic skin whitening is a growing practice in a number of countries and long-term use has been shown to have potentially serious health risks. No reviews have documented the behavioral factors that help explain practices related to cosmetic skin whitening. Methods We conducted a systematic review exploring the main behavioral (psychological and cognitive, social and cultural, and environmental) factors behind the practice of cosmetic skin whitening, as well as the groups and characteristics are associated with the practice as well as what interventions have been designed to address this practice. Five databases (PubMed, Scopus, APA PsychINFO, ASSIA, and Web of Science’s Preprint Citation Index) were searched using adaptations of key search terms (e.g. “skin whitening”, “behavior”, “risk”). Studies were not restricted by date or country. Results From 816 candidate studies, 43 studies were included in the final sample. Twelve main factors were identified: beauty; self-esteem; to attract a partner or get married; dissatisfaction with skin tone; low awareness of risks of skin whitening; to look whiter or fairer; for social status; social norms or social influence; for a job or to secure employment; colorism; the influence of advertising; and fashion. Prevalence of use ranged from 2–74%. Use was more common amongst women and younger adults but varied by country or region in terms of whether it was more commonly used by people with high or low formal education. Only one study documented an intervention designed to raise awareness of the harms of cosmetic skin whitening. Conclusions Cosmetic skin whitening is a complex practice influenced by multiple behavioral factors. Findings should be used to inform theory-based interventions designed to reduce the prevalence of cosmetic skin whitening practices. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-026-26649-1. Keywords: Cosmetic skin whitening, Behavioural drivers, Systematic review Background Cosmetic skinwhitening (‘skin bleaching’ or ‘skin lightening’) is the practice of using natural or synthetic substances (depigmenting agents) to lighten the skin tone or provide an even complexion. A variety of harmful agents including corticosteroids, fruit acids, hydroquinone and mercury are used which aim to either directly or indirectly reduce the melanin concentration in the skin [ 1 , 2 ]. This practice is a matter of global public health concern [ 3 ]. WHO has drawn attention to the dangers associated with the continued use of mercury in some skin-lightening products which is also in direct contravention of the Minamata Convention on Mercury [ 4 ]. The International League of Dermatological Societies calls for global action as misuse of topical corticosteroids for skin bleaching grows [ 5 ]. Long-term use of certain skin lightening products (SLPs) is linked to increased risk of skin cancer and conditions like scabies, high blood pressure, diabetes, neurological, and kidney problems [ 6 ]. The practice of cosmetic (non-medical) skin whitening has a long history, dating back to antiquity [ 7 ], it has become more common in countries in Africa, Asia, the Middle East, and the Americas. Cosmetic skin whitening is linked to global racism, which is essentially discrimination based on skin color, and colorism, that is, the privileging of lighter skin within ethnic and racial groups [ 7 , 8 ]. Although not all countries experiencing colorism are necessarily linked to colonialism, many countries where skin lightening is common have a colonial past [ 7 ]. The current market for skin lightening products is estimated to be worth $8.8 billion annually and is projected to grow to $15.7 billion by 2030 [ 9 ]. A meta-analysis of 68 studies found that the lifetime (ever use) prevalence of skin whitening in the countries and populations studied was 27.67% [ 10 ]. SLPs use has been found to be associated with those living in urban or semi-urban areas, younger adults (aged ≤ 30 years), and those with only primary school education [ 10 ]. Although evidence generally suggests that use of SLPs is higher amongst females, research has also demonstrated relatively high use in males in studied countries and populations, indicating it is a unisex practice [ 10 ]. There are multiple possible reasons for using SLPs for cosmetic purposes, including due to the perception of whiter skin being synonymous with status, health, youth, or beauty in some countries and cultures [ 11 , 12 ]. The practice of cosmetic skin whitening needs to be understood in relation to historical factors, structural inequality and racial privilege [ 13 ]. Colonial rule and slavery linked whiteness with modernity, civility, and social status embedding color hierarchies within local cultures. 1 Additionally, in both colonial and non-colonial cultures (e.g. in some countries in Asia) darker skin has become equated with lower status occupations, for example outdoor laboring and farming where greater sun-exposure results in darker skin [ 8 ]. To the best of our knowledge, there are no systematic reviews on the reasons why people choose to use SLPs for non-medical or cosmetic reasons – specifically regarding the behavioral (i.e. psychological and cognitive, social and cultural, and environmental) factors of SLP use. A review of behavioral factors can help inform the design of targeted interventions which aim to reduce the public health harms of SLP use. This systematic review addresses the following key questions: (1) What are the main factors (including cognitive and psychological; social and cultural and environmental factors) behind the practice of skin whitening? (2) Which population groups and population characteristics are associated with the practice of skin whitening? (3) What interventions are designed to address the practice of skin whitening and what, if any, evidence is there of their effectiveness? Methods Search strategy A systematic review of the academic literature was performed, whereby candidate studies were retrieved from the following databases: PubMed, Scopus, APA PsychINFO, ASSIA, and Web of Science’s Preprint Citation Index (which searches across five major preprint repositories—arXiv, bioRxiv, medRxiv, chemRxiv, and Preprints.org.). The following generic search string was created and adapted to databases: ("skin lighten*" OR "skin whiten*" OR "Skin bleach*") AND (behavio* OR usage OR driver* OR reason* OR health* OR harm* OR risk*). A specific date range was not set, and publication dates for retrieved candidate studies ranged from 1975–2024. Studies were not limited in terms of geographic scope. However, only studies in English were included. A full list of inclusion and exclusion criteria are provided in Table 1 . Table 1. Inclusion and exclusion criteria Inclusion criteria: — English language studies — Must contain empirical data (e.g. not commentary articles) — Reporting on the non-medical use of skin whitening or bleaching products, specifically the problematic or misuse of such products for cosmetic reasons (e.g. not prescribed by a medical professional for the treatment of medical conditions such as melasma) — Contain data relating to the reasons, factors or drivers behind such use of skin whitening products Exclusion criteria: — Non-English language studies — Articles not containing empirical data (e.g. commentary articles) — Articles reporting on the medical use of skin whitening or bleaching products, specifically the problematic or misuse of such products for cosmetic reasons (e.g. not for the treatment of medical conditions such as melasma) — Does not contain data relating to the reasons or factors behind use of such skin whitening products (e.g. focuses on different types and compositions of skin whitening products, focuses on types of health risks associated with skin whitening products, or generally discusses their use but not the reasons or factors behind such use) Open in a new tab Inclusion and exclusion criteria were determined by the research team (all listed authors) (see Table 1 ). All citations were screened independently by two reviewers (SW, TW) at the title and abstract level. Full papers were independently screened by two reviewers (SW, TW). Inter-rater reliability was assessed using Cohen’s Kappa (κ = 0.79), indicating substantial agreement, with remaining disagreements resolved by consensus discussions with a with a third reviewer (AL) (see PRISMA flow diagram). The coding framework for data extraction was developed by all members of the research team and was pilot tested by three authors (SW, TW, AL) on a small sample of papers. Data extraction was performed independently on all included papers by two members of the research team (SW, TW) with disagreements being resolved by consensus discussion which included a third reviewer (AL). The review research questions guided the thematic analysis, whereby key themes were drawn out across studies. In addition to key behavioral factors, key information about the study was extracted including details related to the study population and the type of study designs used—we applied The Oxford Centre for Evidence-Based Medicine (OCEBM) levels of evidence [ 14 ]. Extracted data were reviewed, analyzed and grouped into themes inductively, with authors discussing by consensus what constitutes a significant theme—a combination of frequency and conceptual significance [ 15 ]. Themes were subsequently written into this narrative synthesis [ 15 ]. Results A total of 1,232 records were identified via the search strategy. Following removal of duplicates, 816 records were screened for eligibility using study titles and abstracts. The full texts of 48 studies were then assessed for eligibility. 43 papers met full inclusion criteria and were included in the final sample (see Fig. 1 , PRISMA flow diagram). Fig. 1. Open in a new tab PRISMA flow diagram Study characteristics Overall, the 43 included studies used a variety of methods, with most ( n = 33) being cross-sectional quantitative surveys, but also including qualitative studies ( n = 3) and other or mixed-methods studies ( n = 5). Only one study which met inclusion criteria documented an intervention designed to address the problematic practice of skin whitening (with one other study described participatory research which involved the design of an intervention). Using the OECBM framework, the majority of studies ( n = 38) were classified as evidence level 4 (mainly cross-sectional studies), with one study classified as evidence level 2 (experimental design) and four studies assigned an ‘NA’ (see Table 2 ). The included papers were global in scope, with studies from Africa ( n = 17); Asia ( n = 17); the Americas ( n = 7) and Europe ( n = 1). Most studies collected data from one individual country, with one study comparing across 26 countries. Table 2 summarizes the methods, study population and main findings of the studies included in this systematic review. Table 3 and Fig. 2 summarize key themes. Table 2. Study characteristics and key themes Ref Location Type of Study OCEM Evidence Level Participants (N, sex, age, other) Population prevalence of SLP use (%) Demographic risk factors (associated with SLP use) Key Drivers for SLP use Darj E, et al. 2015 [ 16 ] Sweden Cross sectional, (Mixed methods -Survey and qualitative interviews) 4 n = 455 Female 22 to 50 years (pregnant women); 2.6 (current use) Nationality (Foreign born) Beauty; Social status; Low awareness of health risks; To attract partner/get married Yayehrad et al. 2023 [ 17 ] Ethiopia Cross-sectional (Survey) 4 N = 362; Female 18–30 years = 32.4% 31–45 years = 33.5% 46 + = 34.1% NA (study recruited all SLP users) None found/discussed Skin problem; To look whiter/fairer; Beauty; Self-esteem; Social norms/influence; Low awareness of health risks Bamerdah et al. 2023 [ 18 ] Saudi Arabia Cross-sectional (Survey) 4 n = 409; Female; 18 + years 35.7 (ever use) Age (Younger age: 20–30 years); Education (Higher education) Beauty; Skin problem; Self-esteem; To attract partner/get married; To look whiter/fairer/preference for lighter skin tone Nyoni-Kachambwa et al. 2021 [ 19 ] Zimbabwe Cross-sectional (Survey) 4 n = 260 Female 18 + years; m = 31.69 years 31.2 (current use) Employment (Employed); Skin color (Dark skinned); Marital status (Unmarried/widowed/divorced) Beauty; Social norms/influence; To attract partner/get married; For job/To secure employment Rahiman et al. 2021 [ 20 ] South Africa Cross-sectional (Survey) 4 n = 401 Male and Female (University students); 20 ± 2.4 years 12.0 (users—unspecified) Location (Urban) Social norms/influence; Social status; To attract partner/get married; Fashion Daftary et al. 2023 [ 21 ] USA Cross-sectional (Survey) 4 n = 455 Male and Female; median = 41 years (IQR = 29–54); Black or African American, Asian, multiracial, Hispanic, American Indian or Alaska Native, and other 21.3 (users—unspecified) Sex (Female); Skin color (Black); Female; Immigrant status (Second generation) Skin problem; Beauty; Self-esteem; To attract partner/get married; Colorism Alanzi et al. 2018 [ 22 ] Saudi Arabia Cross-sectional (Survey) 4 n = 531 Female; 39.9 ± 9.0 years (Attending outpatient clinics) 43.3 (current use) Age (Younger age); Education (Higher education); Marital status (Married); Employment (Employed) Skin problem; To look whiter/fairer; Beauty; To attract partner/get married Self-esteem; Fashion; Social norms/influence Harper [ 23 ] USA and India Cross-sectional (Survey) 4 n = 49 (USA) n = 168 (India); Female; 29.7 ± 8.5 years; African- American (USA), Indian (India) Not provided None found/discussed Beauty; Colorism; Dissatisfaction with skin color; To attract partner/get married; Self-esteem; Social Status Lewis et al. 2011 [ 24 ] Tanzania Qualitative—interviews NA n = 42; Female; m = 25.2 years NA None found/discussed Skin problem; To look whiter/fairer Beauty; To attract partner/get married; Social norms; Social status Lasco & Hardon 2020 [ 25 ] Philippines Qualitative -ethnography NA No sample size given; Males NA None found/discussed Social norms/influence; Fashion; Beauty; For job/To secure employment Peltzer et al. 2017 [ 26 ] 5 countries in SE Asia Cross-sectional (Survey) 4 n = 3259 Males and Females; 20.5 ± 1.6 years, 30.7 (current use) Age (Older age amongst female users); Socio-economic status (Low SES amongst female users) Mental health (Poor mental health amongst male and female users) Beauty; Self-esteem; Low awareness of health risks Social status; For job/to secure employment; To attract partner/get married; Advertising Motlohi et al. 2023 [ 27 ] Lesotho Cross-sectional (Survey) 4 n = 468; Males and Females; Modal age group = 21–25 years (23.2%) 43.7% (current use) Employment (Manual employment—Factory workers) Skin problem; Beauty; Low awareness of health risks; Social norms/influence Edwards [ 28 ] USA Cross sectional survey 4 NA N = 279 Female and femme-identifying; Diverse racial sample—including Hispanic (55%), Non-Hispanic (45%) 25% ever use, females); 22% (ever-use femme-identifying); 16% (current use, females); 9% (current use femme-identifying) Nationality (Foreign born); Race (Asian) Beauty; For job/to secure employment; Self-esteem Yusuf et al. 2019 [ 29 ] Somaliland Cross-sectional (Survey) 4 n = 265; Females; 21.1 ± 2.0 years; 25.6 (ever use) None found/discussed Skin problem; To look whiter/fairer; To attract partner/get married Self-esteem Malik et al. 2021 [ 30 ] Pakistan Cross-sectional (Survey) 4 n = 250 Male and Female; 33 ± 8.9 years; Attending outpatient clinic NA (study recruited all SWP users) None found/discussed Skin problem; Social norms/influence; Social status, For job/to secure employment; To look whiter/fairer Rusmadi et al. 2015 [ 31 ] Malaysia Cross-sectional (Survey) 4 n = 104; Female; 24 ± 2 years (University students) 60.6 (user – unspecified) Education (Undergraduate students) Self-esteem; Beauty Raj et al. [ 32 ] India Cross-sectional (Survey) 4 N = 433 Female (61%) and Male Median age = 23 years NA (study recruited all SWP users) Sex (Female) To attract partner/get married Social norms; Self-esteem Egbi et al. 2021 [ 33 ] Nigeria Cross-sectional (Survey) 4 n = 110 Female 15 + years (mostly young adults) 40.9 (current use) Skin color/tone (Light skin tone) Skin problem; Beauty; Social norms/influence; Low awareness of health risks Charles 2009 [ 34 ] Jamaica Cross-sectional (Survey) 4 n = 58 Male and Female 17.0 ± 3.0 years Not provided None found/discussed Skin problem; To look whiter/fairer; To attract partner/get married; Self-esteem; Social norms/influence; Social status; Beauty Benn et al. 2019 [ 35 ] USA Cross-sectional (Survey) 4 n = 76 Female; 35.5 (IQR 30–45) years NA (study recruited all SWP users) Education (Lower education -primary school); Nationality (Foreign born (predictors of skin bleaching intensity) Social norms/influence; Dissatisfaction with skin color Kpanake et al. 2010 [ 36 ] Togo Cross-sectional (Survey) 4 n = 300 Male and Female; 28.6 ± 7.7 years; NA (study recruited all SWP users) None found/discussed Beauty; To attract partner/get married; Social status; Social norms; Fashion; For job/to secure employment Tesfamariam 2023 [ 37 ] Eritrea Cross-sectional (Survey) 4 N = 684 Females; Median = 28, Range = 18 to 60 years 46% (current use); 60.5% (ever-use) Employment (Employed) Skin problem; To look whiter/fairer; Beauty Charles 2003 [ 38 ] Jamaica Qualitative—interviews NA n = 18 Male and female; 13 to 37 years NA None found/discussed Skin problem; Beauty; Social norms/influence; Shroff et al. 2018 [ 39 ] India Cross-sectional (Survey) 4 n = 1992; Male and Female; 24.7 ± 9.1 years 37.6 (current use); 54.4 (ever-use) Sex (Female) Age (amongst males, younger men more likely to use), Beauty; Social norms/influence; To look whiter/fairer; Social status; For job/to secure employment; Advertising; Colorism Kouotou et al. 2017 [ 40 ] Cameroon Cross-sectional (Survey) 4 n = 620 Female; 21.3 ± 2.9 years (University students) 27.3 (current use) None found/discussed To look whiter/fairer; Beauty; To attract partner/get married Osei et al. 2018 [ 41 ] Ghana Cross-sectional (Survey) 4 n = 410 Female; 17.6 ± 1.6 years (High School students) 65.6 (current use) Education (first year students’ use greater than third years); Social norms/influence Owusu- Agye et al. 2020 [ 42 ] Ghana Cross-sectional (Survey) 4 n = 605; Male and Female; 18 + years (18–34 = 64%) 40.4 (ever-user) Sex (Female) Education (Lower education—not college educated) Beauty; Social status; Self-esteem; To attract partner/get married Banala et al. 2023 [ 43 ] USA Cross-sectional (Survey) 4 n = 175; Female/non binary; 18 + years (20–30 years = 55%) 31 (ever use) Decreased time in US Beauty; Social norms/social influence Kamagaju et al. 2016 [ 44 ] Rwanda Cross sectional, (Mixed methods -Survey and qualitative interviews) 4 n = 150 Male and Female; 15–60 years 35 (users – unspecified) None found/discussed Skin problem; Beauty; Social status; Social norms/influence Peltzer et al. 2016 [ 45 ] Multiple ( n = 26 countries in Africa, Asia and the Americas) Cross-sectional (Survey) 4 n = 19,624 Male and Female; 20.8 ± 2.8 years (University students) 24.5 (current use (last 12 months) Sex (Female) Age (Younger age) Mental health (Poor mental health); Country Income (Lower income country) Lack of control Wong et al. 2017 [ 46 ] India Cross-sectional (Survey) 4 n = 48 Male and Female; 31.7 years (range 18–62 years) 60.1 (ever use) Age (younger age) Sex (female) Occupation (students and government workers) Education Level (highly educated) Self-esteem; To look whiter/fairer Ahmed & Hamid 2017 [ 47 ] Sudan Cross-sectional (Survey) 4 n = 348 Female (undergraduate students) 74.4 (current use, within last year) Marital status (Married) Social norms/influence; Dissatisfaction with skin color Cuny & Opaswongkarn 2017 [ 48 ] Thailand Mixed methods (Cross sectional survey and qualitative interviews 4 n = 92 Female Aged 18–24 NA (study recruited a group of SWP users) None found/discussed Social status; To attract partner/get married; Self-esteem; For job/to secure employment Adbi et al. 2021 [ 49 ] India Experiment 2 517 participants Male and Female; 31.7 ± 8.4 years Not provided None found/discussed Lack of control; Colorism Beshir et al. 2023 [ 50 ] UAE Cross-sectional (Survey) 4 n = 370 Female 51% = 18–24 years 25.0 (use – unspecified) Employment (Employed; Profession type (not healthcare)) Nationality Beauty Dlova et al. 2014 [ 51 ] South Africa Cross-sectional (Survey) 4 n = 579 Female; 18–70 years; African and Indian 32.3 (ever use) Nationality (Africans use higher compared to Indians) Beauty; For job/to secure employment; Social status; Self-esteem; To attract partner/get married Menke 2012 [ 52 ] Surinam Mixed methods Cross-sectional survey and focus groups 4 n = 367 (survey) N = 8 (interviews/focus group) Females; 18 + years 18.0 (ever use) Age (Younger age); To look whiter/fairer; Dissatisfaction with skin color; Skin problem; For job/to secure employment; To attract partner/get married; Social norms Santoso et al. 2023 [ 53 ] India Intervention 4 n = 25 Males and Females; 64% = 18–29 years NA NA NA Lewis et al. 2012 [ 54 ] Tanzania Intervention design (participatory research) NA n = 20 Male and Female; 6.1 ± 8.25 NA NA NA Choma & Prusaczyk 2018 [ 55 ] India and United States Cross-sectional (Survey) 4 n = 177 (India) n = 120 (US) Females 26.49 ± 2.67 (India) 26.04 ± 2.84 (US) Indian and African-American Not provided None found/discussed To look whiter/fairer Alrayyes [ 56 ] Saudi Arabia Cross-sectional (Survey) 4 N = 760 Females 23.6 ± 3.4 years 56.2 (ever use) (53.2 current use, within last 12 months) Socioeconomic status (lower SES) Skin problem; To look whiter/fairer; Social status Alrayyes [ 57 ] Saudi Arabia Cross-sectional (Survey) 4 n = 605 63.1 (user – unspecified) None found/discussed Skin problem; To look whiter/fairer; Beauty; Social status; To attract partner/get married; Self-esteem Hamed [ 58 ] Jordan Cross-sectional (Survey) 4 n = 318 Females; modal age group = 20–30 years (50%) 60.7% (ever use) None found/discussed To look whiter/fairer; Beauty; Self-esteem; To attract partner/get married; For job/to secure employment; Advertising Open in a new tab Table 3. Behavioral factors under the three domains of the WHO principles, definitions and frequency and countries from which the findings derive Domain/Theme Definition Frequency and citations Countries 1.Psychological and cognitive factors: Factors related to how people think and make decisions, for example cognition, knowledge, motivation, emotion, biases and heuristics, conscious and unconscious 1.1. Beauty The aesthetic use of SLPs to make the user feel or be seen as more attractive or more beautiful 26 ( [ 16 , 17 , 19 , 21 – 28 , 31 , 33 , 34 , 36 – 40 , 42 – 44 , 50 , 51 , 57 , 58 ]) Sweden, Ethiopia, Zimbabwe, USA (4), Saudi Arabia (2), India (2), Tanzania, Philippines, Lesotho, Malaysia (2), Nigeria, Jamaica (2), Togo, Eritrea, Cameroon, Ghana, Rwanda, UAE, South Africa, Jordan, Indonesia, Myanmar, Thailand, Vietnam 1.2. Self-efficacy The use of SLPs to feel more confident or to enhance their feelings of self-worth 17 ( [ 17 , 18 , 21 – 23 , 26 , 28 , 29 , 31 , 32 , 34 , 42 , 46 , 48 , 51 , 57 , 58 ]) Ethiopia, Saudi Arabia (3), USA (3), India (3), Tanzania, Somaliland, Malaysia (2), Jamaica, Ghana, Thailand (2), South Africa, Jordan, Indonesia, Myanmar, Vietnam 1.3. Attract a partner or get married The use of SLPS to feel more attractive to a partner or with the goal of getting married 20 ( [ 16 , 18 – 24 , 26 , 29 , 32 , 34 , 36 , 40 , 42 , 48 , 51 , 52 , 57 , 58 ]) Sweden, Saudi Arabia (3), Zimbabwe, South Africa (2), USA (2), India (2), Tanzania, Somaliland, Jamaica, Togo, Cameroon, Ghana, Thailand (2), Surinam, Jordan, Indonesia, Malaysia, Myanmar, Vietnam 1.4. Dissatisfaction with skin tone The use of SLPs due to being unhappy with the color or tone of skin and wanting to change skin color or tone 4 ( [ 23 , 35 , 47 , 52 ]) USA (2), India, Sudan, Surinam 1.5. Low awareness of risks of skin whitening Lack of knowledge or awareness of the health risks, side effects or harmful ingredients of SLPs as a barrier to abstaining from their use 5 ( [ 16 , 17 , 26 , 27 , 33 ]) Sweden, Ethiopia, Indonesia, Malaysia, Myanmar, Thailand, Vietnam 1.7. Look whiter or fairer The use of SLPs to look ‘whiter’ or ‘fairer’, including specifically to look ‘more European’ 16 ( [ 17 , 18 , 22 , 24 , 29 , 30 , 34 , 37 , 39 , 40 , 46 , 52 , 55 – 58 ]) Ethiopia, Saudi Arabia (4), Tanzania, Somaliland, Pakistan, Jamaica, Eritrea, India (3), Cameroon, Surinam, USA, Jordan 2. Social and cultural factors: Factors related to the social and cultural contexts within which behaviours take place, for example social norms and practices, local identity and values, social support systems and cultural commitments 2.1. Social status The use of SLPs to enhance one’s social status, related to the social perception or bias that lighter skin is associated with higher social status 15 ( [ 16 , 20 , 23 , 24 , 26 , 30 , 34 , 36 , 39 , 42 , 44 , 48 , 51 , 56 , 57 ]) Sweden, South Africa (2), USA, India (2), Tanzania, Pakistan, Jamaica, Togo, Ghana, Rwanda, Thailand (2), Saudi Arabia (2), Indonesia, Malaysia, Myanmar, Vietnam 2.2. Social norms or influence The modelling and/or encouragement of SLP use by significant others, including family, friends or other social networks 20 ( [ 17 , 19 , 20 , 22 , 24 , 25 , 27 , 30 , 32 – 36 , 38 , 39 , 41 , 43 , 44 , 47 , 52 ]) Ethiopia, Zimbabwe, South Africa, Saudi Arabia, Tanzania, Philippines, Lesotho, Pakistan, India (2), Nigeria (2), USA (2), Togo, Jamaica, Ghana, Rwanda, Sudan, Surinam 2.3. Colorism The privileging of and preference for lighter skin within ethnic and racial groups as a cultural factor or pressure for SLP use 3 ( [ 21 , 23 , 49 ]) USA (2), India (2) 2.4. For a job or to secure employment The use of SLPs due to the perception that having lighter skin conveys a more ‘professional’ look or will aid employability; linked to social inequalities around skin colour and hiring practices 9 ( [ 19 , 25 , 26 , 30 , 36 , 39 , 48 , 52 , 58 ]) Zimbabwe, Philippines, Pakistan, Togo, India, Thailand, Surinam, Jordan, Indonesia, Malaysia, Myanmar, Thailand, Vietnam 3. Environmental factors: Factors external to the individual which could influence the behaviour, including physical or social environment or setting 3.1. Advertising The influence of advertising and promotion of SLPs – including via product packaging, TV and other traditional advertising and via social media 3 ( [ 26 , 39 , 58 ]) India, Jordan, Indonesia, Malaysia, Myanmar, Thailand, Vietnam 3.2. Fashion The role of fashion (as a concept and industry) in promoting the use of SLPs by portraying lighter skin achieved via SLP use as fashionable, trendy or desirable 4 ( [ 20 , 22 , 25 , 36 ]) South Africa, Saudi Arabia, Philippines, Togo Open in a new tab Fig. 2. Open in a new tab Psychological and cognitive, social and cultural and environmental factors and number of citations included in the review. Number of citations supporting each theme amongst the 43 studies included in this review (a) What are the main behavioural factors (psychological and cognitive, social and cultural, environmental) behind the practice of skin whitening? This review focuses on the cosmetic use of skin whitening—rather than the use of clinically prescribed SLPs for specific medical conditions such as melasma. However, it is important to note that a commonly stated reason for the use of skin whitening products was to alleviate skin related issues; that is self-defined problems such as ‘to remove pimples or rashes’ or to ‘remove facial blemishes’ ( n = 16) [ 17 , 18 , 21 , 22 , 24 , 27 , 29 , 30 , 33 , 34 , 37 , 38 , 44 , 52 , 56 , 57 ]. In some instances, this is a key reason for the initial onset of use, with other factors helping to explain continued use. Overall, this review found twelve main themes related to the most common factors explaining the cosmetic practice of skin whitening: Beauty ; Self-esteem; To attract a partner or get married; Dissatisfaction with skin tone; Low awareness of health risks; Whiteness; Social status; Social norms or social influence; For a job or to secure employment; Colorism; Influence of Advertising; and Fashion . Behaviors such as cosmetic skin whitening are the product of a complex interplay between psychological and cognitive, social and cultural, and environmental factors. However, we discuss key themes for clarity under their primary designation (e.g. social status as primarily a social factor). Psychological and cognitive factors Beauty or attractiveness was noted in 26 studies [ 16 , 17 , 19 , 21 – 28 , 31 , 33 , 34 , 36 – 40 , 42 – 44 , 50 , 51 , 57 , 58 ]. The practice of skin whitening was seen as something that would make the user feel or be seen as more attractive or more beautiful. This theme was related to social stereotypes and notions of beauty—and perceptions of fairer skin as more ‘attractive’. 17 studies identified self-esteem as a reason why participants were more likely to use skin whitening products [ 17 , 18 , 21 – 23 , 26 , 28 , 29 , 31 , 32 , 34 , 42 , 46 , 48 , 51 , 57 , 58 ]. Specifically, lighter skin was seen to enhance feelings of self confidence in users. Whitening skin for an existing partner, or to attract a partner or to get married was found to be a driver of use in 20 studies [ 16 , 18 – 24 , 26 , 29 , 32 , 34 , 36 , 40 , 42 , 48 , 51 , 52 , 57 , 58 ]. In particular, studies discussed how female participants used skin whitening products for a husband, male partner or in order to be attractive to men, reflecting the gendered nature of this practice in many countries and contexts (although some studies found that skin whitening was not significantly driven by wanting to be attractive for men or a partner [ 33 , 46 ]). Four studies found that participants’ feelings of dissatisfaction with their skin tone was a key factor [ 23 , 35 , 47 , 52 ]. This related to the theme of generally wanting to appear whiter , fairer or, in some studies, more ‘European-looking’ ( n = 16) [ 17 , 18 , 22 , 24 , 29 , 30 , 34 , 37 , 39 , 40 , 46 , 52 , 55 – 58 ]. Finally, a lack of knowledge or awareness of the health risks associated with skin whitening was a significant factor in 5 studies [ 16 , 17 , 26 , 27 , 33 ], although one study found that skin whitening use occurred despite awareness of side effects or health risks [ 46 ]. Social and cultural factors The practice of skin whitening to enhance the perception of one’s social status was found in 15 studies [ 16 , 20 , 23 , 24 , 26 , 30 , 34 , 36 , 39 , 42 , 44 , 48 , 51 , 56 , 57 ]. Specifically, the association was made between lighter or fairer looking skin and the aspiration to look or be seen as having higher social status. The role of social norms or social influence was a key theme in 20 studies [ 17 , 19 , 20 , 22 , 24 , 25 , 27 , 30 , 32 – 36 , 38 , 39 , 41 , 43 , 44 , 47 , 52 ]. Studies discussing this theme emphasized the role that social norms play in shaping individual perceptions around the desire to have lighter skin or that fairer skin is socially advantageous. The practice of skin whitening to for a job or to secure employmen t was found in 9 studies [ 19 , 25 , 26 , 30 , 36 , 39 , 48 , 52 , 58 ]. These studies discussed how having lighter skin was seen as being more professional, or specifically as an advantage to securing a job or to advancing one's career. A cultural driver identified was the influence of colorism. Colorism is the privileging of and preference for lighter skin within ethnic and racial groups [ 23 ]. Three studies explicitly studied the association between colorism and skin whitening product use [ 21 , 23 , 49 ]. One study, from the United States found that colorism scores (i.e. perceptions that lighter skin is more desirable and advantageous) were significantly higher amongst those who used skin whitening products, compared to those who didn’t use them [ 21 ]. A second study with African-American women found that skin whitening behavior was associated with the internalization of white beauty ideals [ 23 ]. Another study, from India, explored how culturally-ingrained colorism shaped individual level feelings of disempowerment to predict women’s preference for stronger and riskier skin lightening products [ 49 ]. Environmental factors The significant role that advertising and media play in encouraging skin lightening was mentioned in three studies [ 26 , 39 , 58 ]. This theme discussed the influence of advertising and promotion of skin whitening products (including commercially and via social media). For example, one study found that media, TV and advertising were among the most common prompts for skin lightening use [ 39 ]. These studies did not however observe or study purchasing behavior. Relatedly, the influence of the fashion or ‘fad’ of skin whitening products was discussed in four studies. 20,22,25,36​ For example, one ethnographic study explored how the role of product advertising and changing notions of fashion and masculinity amongst young men in the Philippines has contributed to the growing popularity of skin whitening amongst this group. 25 (b) Which groups and characteristics are associated with the practice of skin whitening? Prevalence of use ranged from 2%−74% (although studies varied in terms of whether they measured current or recent use and ever/lifetime use, and in terms of how the latter was defined). The evidence on the demographic characteristics associated with the practice of skin whitening revealed mixed results, but analysis of included studies identified the following key correlates: (1) Sex ; (2) Age (3) Education (4) Employment . Studies identified a number of other demographic correlates, for example, being employed and being married, although these did not feature commonly enough to be classed as themes. Gender In keeping with an existing review of the prevalence of skin whitening [ 9 ], the studies included in this review also suggest that skin whitening is a unisex practice, but more common amongst females. Although a number of studies exclusively recruited female participants, where both males and females were studied, use of skin whitening products was observed amongst both genders, although five studies found that being female significantly predicted skin whitening product use, or more intensive product use [ 21 , 26 , 39 , 42 , 45 ]. Age In general, younger ages are more likely to practice skin whitening. Although most studies were limited in terms of sample selection—being non-representative, non-probability samples (e.g. with some being opportunity samples of higher education students), some did include general population samples, including a range of ages. Where age was studied as a potential predictor of skin whitening, the practice was seen to be more common amongst younger adults in 6 studies [ 18 , 22 , 39 , 45 , 46 , 52 ]. Education Three studies found that practice was higher amongst those with lower education [ 35 , 42 , 46 ], whereas two found it was associated with those with higher education (university degrees) [ 18 , 22 ]. This may be country and culturally specific—for example, two studies from Saudi Arabia found an association between skin whitening and higher formal education [ 18 , 22 ], whereas some studies in other countries (e.g. Ghana and the USA) found an association between low formal educational status and higher skin whitening prevalence [ 35 , 42 , 46 ]. This relationship may be mediated by the strength of certain factors (e.g. social status) relative to others (e.g. lack of awareness of health risks), which may differ across countries and populations. However, this question was not specifically addressed by the included studies, which as noted were almost exclusively single-country studies. Socio-economic and employment status Eight studies found that socio-economic status or employment status were associated with skin whitening [ 19 , 22 , 26 , 27 , 37 , 46 , 50 , 56 ]. One study of university students across five South East Asian countries found that skin whitening was more common amongst those from low-income countries [ 26 ]. A study on female university students in Saudi Arabia found that skin whitening was significantly higher amongst those from lower socio-economic backgrounds [ 56 ]. Six studies looked at employment status; of which, four found that skin whitening was more common amongst those who were currently employed [ 19 , 22 , 37 , 50 ], one found that it was more common amongst manual workerst [ 27 ], and another found it was more common amongst students or government workers [ 46 ]. (c) What interventions are designed to address the practice of skin whitening and what, if any, evidence is there of their effectiveness? Only one study was identified which reported results of an implemented intervention specifically designed to address the practice of skin whitening [ 53 ]. This study, from India described an online brief 3-week online-course, using a ‘storytelling’ and social change approach to public health communication, designed to increase participants’ knowledge of and concern for the seriousness of skin-shade discrimination and the use of skin-lightening products. Post-course results revealed a significant increase in participants’ knowledge of skin shade discrimination and knowledge of use of skin whitening products [ 53 ]. However, the study was limited in so far as it did not include a control group, had few participants ( n = 25) and did not measure whether the intervention affected participants’ intentions to, or actual practice of, skin whitening. One other study, from Tanzania, described a focus group, participatory-based piece of research which aimed to design components of an intervention to address the problem of skin whitening in the community [ 54 ]. It found that key components should include didactic education, governmental action, and educational media [ 54 ]. However, the study did not include the implementation, or empirical evaluation of an intervention based on these principles. Discussion The health risks associated with skin whitening are well documented [ 2 ], and there is a growing appreciation that underlying factors driving skin lightening must be understood and addressed to prevent and stop this harmful practice. Cosmetic skin whitening has long standing roots in global racism and colonial history [ 13 ]. Skin whitening needs therefore to be studied and understood in relation to its broad historical and cultural context, where—although racism manifests differently in different countries and cultures, white skin and lighter skin tones have been privileged and associated with higher status and power. However, while colorism and racism are tackled as part of long-term complex strategies, public health interventions can help to understand how to reduce the use of harmful products in the short-term. This systematic review is to our knowledge the first to synthesize evidence on the behavioral factors explaining the use of SLPs and an attempt of describing and explaining human behavior in this space so to design effective public health interventions aimed. The review found 43 studies drawing out 12 themes representing the psychological and cognitive, social and cultural, and environmental factors leading to skin whitening practice: Beauty ; Self-esteem ; To attract a partner or get married Dissatisfaction with skin tone; Low awareness of risks of skin whitening ; To look whiter or fairer; Social status ; Social norms or influence; For a job or to seek employment; Colorism; Influence of Advertising; and Fashion . A strength of the body of literature included in this review is that it was global in scope, covering study populations from a diverse range of countries across different regions. However, many of the prominent themes identified were common across countries. For example, the association of skin whitening, and skin fairness, with beauty and attractiveness was found in studies in diverse contexts including Southeast Asia, Africa and North America. It should be noted that a limitation of this review is that, although we classified studies using OCEBM levels of evidence, no formal study quality or risk of bias assessment was conducted. However, our analysis of the evidence suggests that there is a lack of cohort or case–control studies. Future research should also include longitudinal studies which follow skin whitening practices over time. Also, multi-country studies with representative samples (e.g. including diverse age ranges, SES and education levels) would enable more direct comparisons across countries and sub-populations. A further limitation of the literature is that most studies did not use theoretical frameworks to elucidate the reasons behind SLP use, possibly missing relevant categories of drivers and constructs. Additionally, the complex interplay of psychological and cognitive, social and cultural, and environmental factors was often not explored. Despite the preponderance of studies looking at individual level psychological factors (e.g. perceptions of self-esteem), far fewer studies focused on the role of social and cultural (e.g. colorism) and environmental factors (e.g. advertising or access to). Fewer still attempted to explore how environmental factors like advertising shape, and are shaped by, individual-level factors like perceptions of beauty. For example, aside from a small number of studies [ 21 , 23 , 49 ], more research is needed on the role of colorism and the societal privileging of lighter skin tones on psychological drivers of skin whitening product use including users’ self-esteem and internalized dissatisfaction with their natural skin tone [ 59 ]. Skin whitening may be especially prevalent amongst younger women, as well as those from lower educational or socio-economic backgrounds (although it may be less common amongst those unemployed who likely cannot afford the products). In particular, the intersectionality of race and gender inequalities is also an important avenue for future research exploring how the power and privilege associated with white skin or light skin tones particularly shapes beauty ideals, particularly affecting women [ 8 , 59 , 60 ]. Although many themes were common across multiple countries and regions, it is also important that research acknowledges the particular racial histories and cultural context of specific countries and populations, including those with links to colonialism [ 59 , 61 ]. Future research should also look to more intentionally incorporate behavior change theories to apply the research to concrete interventions and strategies aimed at addressing use of harmful products; this would allow for a fuller understanding of the factors behind skin whitening, as identified in this review. For instance, social norms are key predictors of behavior in Theory of Planned Behavior (TPB) and Theory of Normative Social Behavior (TNSB) [ 62 , 63 ]. Self-efficacy is a key predictor in Social Cognitive Theory [ 64 ]. Future research should endeavor to explore skin whitening attitudes, knowledge, intentions and behavior in relation to well-validated theoretical models. Addressing health harming practices requires addressing the underlying psychological and cognitive, social and cultural and environmental factors with targeted behavioral interventions and behavior change techniques. Behavioral theory can help practitioners to describe, explain and predict behaviors of interest. Such interventions should focus on the factors influencing or inhibiting behavior across the different types of factors. Theoretical models, such as Social Cognitive Theory, the COM-B (Capabilities, Opportunities, Motivations and Behavior) model and the socio-ecological model, attempt to acknowledge and account for the complex interplay between individual psychological, attitudinal and cognitive factors and wider social, cultural and environmental factors [ 64 – 66 ]. For example, individual perceptions of dissatisfaction with darker skin tones, or perceptions of fairer skin as being more attractive, cannot be fully understood independently of social norms or stereotypes of beauty, cultural notions of colorism, or the potential exacerbation or exploitation of such perceptions by commercial interests of skin whitening product manufacturers and marketers. Frameworks such as the Behavior Change Wheel (BCW) [ 65 ] can help inform the design of targeted interventions, including education, such as public health campaigns; persuasion or modelling to shift motivation; or regulation, for example through warning labels on products. Social norms could be addressed through social support or persuasion-based interventions, involving trusted sources of information—as identified by the users- and direct influencers, such as family members and peers. Regulation to remove or restrict the sale of harmful products or ingredients would also reduce harm and has no downside from a public health perspective. Conclusions The aim of the review has been to provide an empirical basis for the subsequent design of strategic and targeted behavioral interventions based on the ‘diagnosis’ of behavioral factors, including the enablers and barriers, which help explain the practice of cosmetic skin whitening. There is a need for public health practitioners to develop and evaluate tools which can more fully understand the processes by which people start and maintain use of SLPs for cosmetic reasons across the life course (e.g. user journeys). Future interventions should be rigorously informed by a theory-based diagnosis of the factors influencing skin lightening related behaviors and ideally evaluated via high-quality randomized controlled trials, grounded in behavioral science theory [ 67 ], and can be informed by the psychological and cognitive, social and cultural, environmental factors of skin whitening identified in this review. Supplementary Information Supplementary Material 1. (270.4KB, docx) Acknowledgements Not applicable. Disclaimer The content is solely the responsibility of the authors and does not necessarily represent the official views of the World Health Organization. Registration and protocol This review has not been pre-registered. The review protocol has subsequently been registered at: https://osf.io/2fuws/overview . Authors’ contributions Concept and design: SW, TW, EJ, LO, EA Acquisition, analysis, or interpretation of data: SW, TW, ALL. Drafting of the manuscript: SW. Critical revision of the manuscript for important intellectual content: SW, TW, EJ, LO, ALL, EA Administrative, technical, or material support: SW, TW, EJ, LO, ALL, EA Supervision: EA. Funding This study is part of a project funded by the Global Environment Facility (GEF), implemented by the UN Environment Programme (UNEP) and co-executed by the World Health Organization (WHO) and the Biodiversity Research Organization (BRI) with targeted technical assistance by the UNEP Global Mercury Partnership. The funding source had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. Data availability All data generated or analysed during this study are included in this published article and its supplementary information files or at:https:/osf.io/2fuws/overview. Declarations Ethics approval and consent to participate Not applicable. This study is a systematic review of previously published research. No new data were collected, and no human participants were directly involved. All data included in the review were publicly available and previously published. Consent for publication Not applicable. Competing interests This study is part of a project funded by the Global Environment Facility (GEF), implemented by the UN Environment Programme (UNEP) and co-executed by the World Health Organization (WHO) and the Biodiversity Research Organization (BRI) with targeted technical assistance by the UNEP Global Mercury Partnership. The funding source had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. The content is solely the responsibility of the authors and does not necessarily represent the official views of the World Health Organization. Footnotes 1 Although racism persists and affects persons of color in many countries and contexts globally, it has not automatically created the need for SLP use. This is outside the scope of this review, but it is important to reiterate that skin color-based discrimination has many forms and consequences outside of the context of skin whitening. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. References 1. Couteau C, Coiffard L. Overview of skin whitening agents: drugs and cosmetic products. Cosmet. 2016;3:27. [ Google Scholar ] 2. World Health Organization. Mercury in skin lightening products: Preventing disease through healthy environments. Information note, 3 November 2019. Available at: https://www.who.int/publications/i/item/WHO-CED-PHE-EPE-19.13 (Accessed 14 April 2025). 3. Pollock S, Taylor S, Oyerinde O, Nurmohamed S, Dlova N, Sarkar R, et al. The dark side of skin lightening: An international collaboration and review of a public health issue affecting dermatology. Intern J Women’s Dermatol. 2021;7(2):158–64. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 4. UN Environment Program. Minamata Convention on Mercury. Available at: https://minamataconvention.org/en (Accessed 14 April 2025). 5. Grasso G. 2025. ILDS calls for global action as misuse of topical corticosteroids for skin bleaching grows. Healio. Available at: https://www.healio.com/news/dermatology/20250409/ilds-calls-for-global-action-as-misuse-of-topical-corticosteroids-for-skin-bleaching-grows (Accessed 14 April 2025). 6. Nordin FN, Aziz A, Zakaria Z, Wan Mohamed Radzi CW. A systematic review on the skin whitening products and their ingredients for safety, health risk, and the halal status. J Cosmet Dermatol. 2021;20(4):1050–60. [ DOI ] [ PubMed ] [ Google Scholar ] 7. Petit A. Skin lightening and itsmotives: a historical overview. Ann Dermatol Venereol. 2019;146(5):399–409. [ DOI ] [ PubMed ] 8. Glenn EN. Yearning for lightness: transnational circuits in the marketing and consumption of skin lighteners. Gend Soc. 2008;22(3):281–302. [ Google Scholar ] 9. Arora N, AminS. Analyzing global interest in skin whitening by geographic region. Baylor Univ Med Cent Proc. 2024;37(3):505–7. [ DOI ] [ PMC free article ] [ PubMed ] 10. Sagoe D, Pallesen S, Dlova NC, Lartey M, Ezzedine K, Dadzie O. The global prevalence and correlates of skin bleaching: a meta‐analysis and meta-regression analysis. Int J Dermatol. 2019;58(1):24–44. [ DOI ] [ PubMed ] [ Google Scholar ] 11. Davids LM, Van Wyk J, Khumalo NP, Jablonski NG. The phenomenon of skin lightening: is it right to be light? S Afr J Sci. 2016;112(11–12):1–5. [ Google Scholar ] 12. Charles C. Skin bleaching. Encyclopaedia of Critical Psychology: Springer; 2012. [ Google Scholar ] 13. Blay YA. Skin bleaching and global white supremacy: By way of introduction. J Pan Afr Stud. 2011;4(4):4–6. [ Google Scholar ] 14. OCEBM Levels of Evidence Working Group. The Oxford 2011 Levels of Evidence. Oxford Centre for Evidence-Based Medicine. https://www.cebm.net/index.aspx?o=5653.2011 (Accessed 2 April 2025). 15. Mays N, Pope C, Popay J. Systematically reviewing qualitative and quantitative evidence to inform management and policy-making in the health field. J Health Serv Res Policy. 2005;10(1_suppl):6–20. [ DOI ] [ PubMed ] [ Google Scholar ] 16. Darj E, Infanti JJ, Ahlberg BM, Okumu J. “ the fairer the better?” Use of potentially toxic skin bleaching products. Afr Health Sci. 2015;15(4):1074–80. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 17. Yayehrad AT, Lule A, Tebabal AT, Esmael M, Risqey N, Temesgen S, et al. Concern on skin lightening product safety: Level of awareness and associated factors among female users in Bahir Dar City, Ethiopia. Clin Cosmet Investig Dermatol. 2023;31:1753–61. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 18. Bamerdah S, Alhothali OS, Aldajani BM, Alghanemi L, Mleeh NT. A cross-sectional study of the knowledge, practice, and attitude towards skin-lightening products among the general population in the Western region of Saudi Arabia. Cureus. 2023;15(1):22. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 19. Nyoni-Kachambwa P, Naravage W, James NF, Van der Putten M. A preliminary study of skin bleaching and factors associated with skin bleaching among women living in Zimbabwe. Afr Health Sci. 2021;21(1):132–9. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 20. Rahiman F, Davids LM, Thomas A. A survey evaluating knowledge, perception, and use of skin lightening products among South African students. Intern J Women’s Dermatol. 2021;7(5):766–8. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 21. Daftary K, Poondru S, Patel N, Shramuk M, Muhammad L, Kundu RV. Colorism attitudes and use of skin lightening agents in the United States. Intern J Women’s Dermatol. 2023;9(3):e092. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 22. Alanzi ME, Alghamdi RA, Alsharif OM, Alghamdi KS, El Sayed SM. Health knowledge, cosmetic interests, attitude, and the need for health education regarding the use of topical bleaching agents among women in West Saudi Arabia: A cross-sectional study. J Cosmet Sci. 2018;69(2):101–20. [ PubMed ] [ Google Scholar ] 23. Harper K, Choma BL. Internalised White ideal, skin tone surveillance, and hair surveillance predict skin and hair dissatisfaction and skin bleaching among African American and Indian women. Sex Roles. 2019;15(80):735–44. [ Google Scholar ] 24. Lewis KM, Robkin N, Gaska K, Njoki LC. Investigating motivations for women’s skin bleaching in Tanzania. Psychol Women Q. 2011;35(1):29–37. [ Google Scholar ] 25. Lasco G, Hardon AP. Keeping up with the times: Skin-lightening practices among young men in the Philippines. Cult Health Sex. 2020;22(7):838–53. [ DOI ] [ PubMed ] [ Google Scholar ] 26. Peltzer K, Pengpid S. Knowledge about, attitude toward, and practice of skin lightening products use and its social correlates among university students in five Association of Southeast Asian Nations (ASEAN) countries. Int J Dermatol. 2017;56(3):277–83. [ DOI ] [ PubMed ] [ Google Scholar ] 27. Motlohi NF, Mugomeri E, Tarirai C. Knowledge, perceptions, practices, promotive factors, and health risks awareness of African Basotho women towards skin lightening products: a cross-sectional survey. The Pan African Med J. 2023;44:43. [ DOI ] [ PMC free article ] [ PubMed ] 28. Edwards L, Ahmed L, Martinez L, Huda S, Shamasunder B, McDonald JA, et al. Beauty inside out: examining beauty product use among diverse women and femme-identifying individuals in Northern Manhattan and South Bronx through an environmental justice framework. Environ Justice. 2023;16(6):449–60. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 29. Yusuf MA, Mahmoud ND, Rirash FR, Stoff BK, Liu Y, McMichael JR. Skin lightening practices, beliefs, and self-reported adverse effects among female health science students in Borama, Somaliland: a cross-sectional survey. Intern J Women’s Dermatol. 2019;5(5):349–55. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 30. Malik SS, Mashhood AA, Tahir M, Minhas IJ, Sadiq S. Motivational factors and user awareness in patients using skin lightening creams reporting to dermatology out patient department in Combined Military Hospital Rawalpindi. Pakistan Armed Forces Med J. 2021;71(6):1925–9. [ Google Scholar ] 31. Rusmadi SZ, Syed Ismail SN, Praveena SM. Preliminary study on the skin lightening practice and health symptoms among female students in Malaysia. J Environ Public Health. 2015;26:2015. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 32. Raj S, Sampat B, Kajla T, Singh H. Dark side of skin‐lightening products: social responsibility of advertisers. Int Soc Sci J. 2022;72(245):525–41. [ Google Scholar ] 33. Egbi OG, Kasia B. Prevalence, determinants and perception of use of skin lightening products among female medical undergraduates in Nigeria. Skin Health Dis. 2021;1(3):e46. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 34. Charles CA. Skin bleachers’ representations of skin color in Jamaica. J Black Stud. 2009;40(2):153–70. [ Google Scholar ] 35. Benn EK, Deshpande R, Dotson-Newman O, Gordon S, Scott M, Amarasiriwardena C, et al. Skin bleaching among African and Afro-Caribbean women in New York City: primary findings from a P30 pilot study. Dermatol Ther. 2019;9:355–67. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 36. Kpanake L, Muñoz Sastre MT, Mullet E. Skin bleaching among Togolese: a preliminary inventory of motives. J Black Psychol. 2010;36(3):350–68. [ Google Scholar ] 37. Tesfamariam S, Bahta M, Weldemariam DG, Tesfamariam EH, Yemane H, Bahta I, et al. Awareness, perception, and utilization of skin lightening agents among females of Asmara, Eritrea: a cross-sectional study. Clin Cosmet Investig Dermatol. 2023;31:1191–202. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 38. Charles CA. Skin bleaching, self-hate, and black identity in Jamaica. J Black Stud. 2003;33(6):711–28. [ Google Scholar ] 39. Shroff H, Diedrichs PC, Craddock N. Skin color, cultural capital, and beauty products: an investigation of the use of skin fairness products in Mumbai, India. Frontiers in public health. 2018;5:365. [ DOI ] [ PMC free article ] [ PubMed ] 40. Kouotou EA, Nansseu JR, Adegbidi H, Zoa Mebara TC, Ndjitoyap Ndam EC. Skin whitening among Cameroonian female university students: knowledge, attitudes, practices and motivations. BMC Womens Health. 2017;17:1–5. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 41. Osei M, Ali M, Owusu A, Baiden F. Skin-lightening practices among female high school students in Ghana. Public Health. 2018;1(155):81–7. [ DOI ] [ PubMed ] [ Google Scholar ] 42. Owusu-Agyei M, Agyei M, Ogunleye TA. Skin-lightening practices among shoppers in select markets in Kumasi, Ghana: A cross-sectional survey. JAAD International. 2020;1(2):104–10. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 43. Banala M, Mamidipaka A, Ogunleye T. Skin-lightening product use among South Asian Americans: cross-sectional survey study. JMIR Dermatol. 2023;6(1):e49068. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 44. Kamagaju L, Morandini R, Gahongayire F, Stévigny C, Ghanem G, Pirotte G, et al. Survey on skin-lightening practices and cosmetics in Kigali Rwanda. Intern J Dermatol. 2016;55(1):45–51. [ DOI ] [ PubMed ] [ Google Scholar ] 45. Peltzer K, Pengpid S, James C. The globalization of whitening: prevalence of skin lighteners (or bleachers) use and its social correlates among university students in 26 countries. Int J Dermatol. 2016;55(2):165–72. [ DOI ] [ PubMed ] [ Google Scholar ] 46. Wong C, Wong S, Tang H, Minocha R, Singh R, Grills N. Use of skin-lightening products among outpatient attendees in a North Indian Hospital. Indian J Public Health. 2017;61(2):137–40. [ DOI ] [ PubMed ] [ Google Scholar ] 47. Ahmed AE, Hamid ME. Use of skin-whitening products by Sudanese undergraduate females: a survey. J Racial Ethn Health Disparities. 2017;4:149–55. [ DOI ] [ PubMed ] [ Google Scholar ] 48. Cuny C, Opaswongkarn T. “Why do young Thai women desire white skin?” Understanding conscious and nonconscious motivations of young women in Bangkok. Psychol Mark. 2017;34(5):556–68. [ Google Scholar ] 49. Adbi A, Chatterjee C, Cortland C, Kinias Z, Singh J. Women’s disempowerment and preferences for skin lightening products that reinforce colorism: experimental evidence from India. Psychol Women Q. 2021;45(2):178–93. [ Google Scholar ] 50. Beshir S, Shamseldin Al Gailani Ali E, Ramadan D, Bassam G, Maher E, Ismail S, et al. Women’s knowledge, perception, practice, and experience of using of skin-lightening products in the United Arab Emirates (UAE): a cross-sectional survey. J Public Health Res. 2023;12(4):22799036231204356. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 51. Dlova N, Hamed SH, Tsoka-Gwegweni J, Grobler A, Hift R. Women’s perceptions of the benefits and risks of skin-lightening creams in two South African communities. J Cosmet Dermatol. 2014;13(3):236–41. [ DOI ] [ PubMed ] [ Google Scholar ] 52. Menke J. From fair & lovely to Banho de Lua: skin whitening and its implications in the multiethnic and multicolored Surinamese society. In: Hall RE, editor. The melanin millennium: skin color as 21st century international discourse. Dordrecht: Springer Netherlands; 2012. p. 301–23. 53. Santoso M, Agrawal R, Tiwari K, Manjanatha D, Austin SB, McAdams-Mahmoud A, et al. Tackling colourism through storytelling in an online course for public health professionals. Health Educ J. 2023;12:00178969231164039. [ Google Scholar ] 54. Lewis KM, Gaska K, Robkin N, Martin A, Andrews E, Williams J. The need for interventions to prevent skin bleaching: a look at Tanzania. J Black Stud. 2012;43(7):787–805. [ Google Scholar ] 55. Choma BL, Prusaczyk E. The effects of system justifying beliefs on skin-tone surveillance, skin-color dissatisfaction, and skin-bleaching behavior. Psychol Women Q. 2018;42(2):162–77. [ Google Scholar ] 56. Alrayyes SF, Alrayyes SF, Farooq UD. Skin-lightening patterns among female students: a cross-sectional study in Saudi Arabia. Intern J Women’s Dermatol. 2019;5(4):246–50. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 57. Alrayyes SF, Alrayyes SF, Farooq Dar U. Skin‐lightening practices behind the veil: an epidemiological study among Saudi women. J Cosmet Dermatol. 2020;19(1):147–53. [ DOI ] [ PubMed ] [ Google Scholar ] 58. Hamed SH, Tayyem R, Nimer N, AlKhatib HS. Skin‐lightening practice among women living in Jordan: prevalence, determinants, and user’s awareness. Int J Dermatol. 2010;49(4):414–20. [ DOI ] [ PubMed ] [ Google Scholar ] 59. Ellis NP, Destine S. Color capital: examining the racialized nature of beauty via colorism and skin bleaching. Sociol Compass. 2023;17(8):e13049. [ Google Scholar ] 60. Collins PH. Black sexual politics: African Americans, gender, and the new racism. New York: Routledge; 2004. 61. Hunter M. The persistent problem of colorism: skin tone, status, and inequality. Sociol Compass. 2007;1(1):237–54. [ Google Scholar ] 62. Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211. [ Google Scholar ] 63. Rimal RN, Lapinski MK, Cook RJ, Real K. Moving toward a theory of normative influences: How perceived benefits and similarity moderate the impact of descriptive norms on behaviors. J Health Commun. 2005;10(5):433–50. [ DOI ] [ PubMed ] [ Google Scholar ] 64. Bandura A. Social cognitive theory: an agentic perspective. Annu Rev Psychol. 2001;52(1):1–26. [ DOI ] [ PubMed ] [ Google Scholar ] 65. Michie S, Van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;6:1–2. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] 66. Kilanowski JF. Breadth of the socio-ecological model. J Agromedicine. 2017;22(4):295–7. [ DOI ] [ PubMed ] [ Google Scholar ] 67. Altieri E, Grove J, Davies OL, Habersaat KB, Okeibunor J, Samhouri D, et al. Harnessing the power of behavioural science to improve health. Bull World Health Organ. 2021;99(11):754. [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Associated Data This section collects any data citations, data availability statements, or supplementary materials included in this article. Supplementary Materials Supplementary Material 1. (270.4KB, docx) Data Availability Statement All data generated or analysed during this study are included in this published article and its supplementary information files or at:https:/osf.io/2fuws/overview. Articles from BMC Public Health are provided here courtesy of BMC ACTIONS View on publisher site PDF (1.8 MB) Cite Collections Permalink PERMALINK Copy RESOURCES Similar articles Cited by other articles Links to NCBI Databases Cite Copy Download .nbib .nbib Format: AMA APA MLA NLM Add to Collections Create a new collection Add to an existing collection Name your collection * Choose a collection Unable to load your collection due to an error Please try again Add Cancel Follow NCBI NCBI on X (formerly known as Twitter) NCBI on Facebook NCBI on LinkedIn NCBI on GitHub NCBI RSS feed Connect with NLM NLM on X (formerly known as Twitter) NLM on Facebook NLM on YouTube National Library of Medicine 8600 Rockville Pike Bethesda, MD 20894 Web Policies FOIA HHS Vulnerability Disclosure Help Accessibility Careers NLM NIH HHS USA.gov Back to Top

Record · ID 25541 · SHA-256 01c8ffd2e0be7ba3
Retrieved via Conceptio — every document is proof-bundled with source, license, and retrieval metadata.