| Literature DB >> 36017574 |
Željka Babić1, Marija Macan1, Zrinka Franić1, Sarah Hallmann2, Martin S Havmose3, Jeanne D Johansen3, Swen M John4,5, Cara Symanzik4,5, Wolfgang Uter2, Patricia Weinert5, Henk F van der Molen6, Sanja Kezic6, Rajka Turk1, Jelena Macan1.
Abstract
OBJECTIVES: To review recent epidemiological studies investigating carcinogenic or reprotoxic effects among hairdressers who seem to be at greater risk for systemic adverse effects of chemicals released from hair care products than consumers.Entities:
Keywords: cancer; hairdressers; occupational; reproductive; review
Mesh:
Year: 2022 PMID: 36017574 PMCID: PMC9411989 DOI: 10.1002/1348-9585.12351
Source DB: PubMed Journal: J Occup Health ISSN: 1341-9145 Impact factor: 2.570
Main groups of hairdressing products and their properties
| Hair product | Typical ingredients | Routes of exposure for hairdressers | Health hazards |
|---|---|---|---|
| Oxidative hair dyes/colorants | Dye precursors | Dermal and inhalation |
Acutely toxic by ingestion, inhalation and skin contact, local irritation in contact with skin and eyes, sensitization after dermal contact |
| Perms and relaxing substances | Thioglycolic acid, its salts and esters | Dermal | |
| Hair bleaches | Persulfate salts | Dermal and inhalation |
Acutely toxic by ingestion, inhalation, and in contact with skin, local irritation in contact with skin and eyes, sensitization after dermal contact, respiratory irritation and sensitization |
Source: Annex VI to Regulation (EC) No 1272/2008 of the European Parliament and of the Council of 16 December 2008 on classification, labeling, and packaging of substances and mixtures.
FIGURE 1PRISMA flow‐chart (Page 2021).
From: Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71. doi: https://doi.org/10.1136/bmj.n71
Studies investigating associations of hairdressing occupation with various types of cancers diagnosed 1995 onward (N = 4 studies, N = 5 publications)
| Reference: study location, period | Study design | Characteristics of cases | Characteristics of controls | Exposure assessment | Exposure categories | Exposed cases | OR (95% CI) | Adjustment factors | Comments | Quality assessment Total score |
|---|---|---|---|---|---|---|---|---|---|---|
| Consonni et al. (2010) | Case control | Incident lung cancer cases (1015 men and 379 women; any stage of primary cancer of the trachea, bronchus, and lung) admitted to 13 hospitals in Northern Italy; aged 35–79 years | Randomly sampled control individuals (1171 men and 471 women) from population databases, frequency matched to cases by residence, sex, and age | Computer‐assisted interview | Employed as a hairdresser, barber, beautician, or related worker | 12 men, 13 women |
Men: 1.63 (0.52–5.14) Women: 2.00 (0.57–7.04) | Area, age, smoking, number of jobs, and education |
| |
| Dryson et al. (2008), | Case–control |
213 291 incident cases of non‐Hodgkin's lymphoma (NHL) reported to the same Register; aged 25–70 years, 54% men | 471 controls randomly selected from a national electoral roll, frequency matched to cases by age | Face‐to‐face interview by a trained interviewer |
Hairdressers, beauty therapists, and related workers |
6 7 |
| Sex, age group, smoking status, Maori ethnicity, and occupational status |
These were linked case–controls studies which have used the same group of population controls. There were no consistent patterns by the duration of employment (1–2 years, 2–10 years, more than 10 years) for both type of cancer. |
|
| 4 | 1.09 (0.27 to 4.35) | |||||||||
| Guida et al. (2011) | Case–control | 648 incident primary lung cancers, regardless of histological type, diagnosed in 10 of 11 French administrative departments with a general cancer registry; women aged 18 to 75 years |
775 population controls with no history of previous respiratory cancer, randomly selected in the same departments as cases through incidence density sampling, frequency matched to cases by age, sex, department, socioeconomic status | Face to‐face interviews using standardized questionnaire |
Employed as a hairdresser | 16 | 2.0 (0.7–5.7) | Age at interview, department, lifelong cigarette smoking, and number of jobs held | Regarding hairdressers, OR and 95% shown only for women, among men presumably also non‐significant association of smaller magnitude |
|
| Samanic et al. (2008) | Case–control | 1219 cases of urothelial cell carcinoma of the bladder or carcinoma in situ of the bladder, including ureteric orifice and urachus, diagnosed in 18 participating hospitals in Spain; aged 21–80 years, 88% men |
1271 control individuals selected from patients admitted to the same hospital for diseases/conditions unrelated to the studied exposures, matched to cases by age, sex, race/ethnicity, and hospital | Computer‐assisted personal interview | Employed as a barber/hairdresser | 12 | 1.24 (0.51 to 3.01) | Age, hospital region, smoking duration, and ever being employed in a high‐risk occupation for bladder cancer which included a priori high‐risk jobs authors identified in the literature, and jobs within that study which were either statistically significantly associated with bladder cancer or had an OR of 1.5 or higher | Three hairdressers/barbers worked for <10 years and 9 for 10 and more years. Duration of employment had no significant influence on the association: 0.93 (0.19–4.52) for <10 years and 1.42 (0.48–4.18) for 10 or more years |
|
Maximum score = 15; scores ≥70% of maximum score are in bold; OR = odds ratio; 95% CI = 95% confidence interval.
Studies investigating associations of hairdressing occupation with reproductive effects (N = 6 studies, N = 6 publications)
| First author, year of publication | Study design | Characteristics of cases | Characteristics of controls | Exposure assessment | Exposure categories |
| OR or RR (95% CI) | Adjustment factors | Comments | Quality assessment Total score† |
|---|---|---|---|---|---|---|---|---|---|---|
|
| ||||||||||
| Desrosiers et al. (2012) | Case–control study | 9998 cases with one or more major birth defect identified by 10 participating USA state birth defect surveillance systems | 4066 newborns randomly selected in each state among live births without major defects from either hospital records or birth certificates | Telephone interview with mothers | Hairdressing or cosmetologist occupation of father ( | Choanal atresia 1 | ORs: 2.0 (0.7–5.2) | Maternal age at delivery, maternal race/ethnicity, maternal education, maternal smoking, maternal alcohol use, maternal vitamin/folic acid use, and maternal residence at delivery |
| |
| Limb deficiency, longitudinal preaxial 2 | 2.0 (0.9–4.8) | |||||||||
| Gastroschisis 3 | 2.0 (0.9–4.3) | |||||||||
| Ventricular septal defect, conoventricular 2 |
| |||||||||
| Atrioventricular septal defect 2 | 2.2 (0.9, 5.4) | |||||||||
|
Herdt‐Losavio et al. (2009) | Retrospective cohort study | Cohort description: 15 003 newborns of mothers who worked as cosmetologists (defined as having a cosmetologist license in 2003) born in New York from 1997–2003 | New York City Congenital Malformation registry, and state birth records which include data on neonatal health indicators and maternal pregnancy risk factors | Congenital malformation of: male reproductive tract | 92 |
ORs: vs. realtors and vs. general population, respectively: 0.80 (0.53–1.20) 1.19 (0.88–1.61) | Race, ethnicity, body mass index, age, smoking, participation in any aid program, education, alcohol use, prenatal care, maternal diabetes, residential county with high number of hazardous waste sites, and parity |
In paper Herdt‐Losavio et al. (2011), Realtors (control group): licensed real‐estate agents and real‐estate brokers. The authors stated that realtors have similar education requirements and large proportion of females. |
| |
| Genitourinary | 174 |
0.71 (0.51–1.01) 1.09 (0.84–1.41) | ||||||||
| Hearts | 147 |
0.82 (0.55–1.21) 1.05 (0.79–1.40) | ||||||||
| Eye/ear | 6 |
1.12 (0.13–9.81) 0.71 (0.21–2.33) | ||||||||
| Respiratory | 22 |
1.35 (0.39–4.68) 1.24 (0.59–2.59) | ||||||||
| Digestive tract | 58 |
1.10 (0.53–2.28) 1.17 (0.73–1.88) | ||||||||
| Neural tubes | 24 |
1.38 (0.40–4.72) 0.70 (0.38–1.32) | ||||||||
| Clefts | 18 |
3.62 (0.48–27.58) 1.16 (0.54–2.52) | ||||||||
| Musculoskeletal | 92 |
0.86 (0.52–1.43) 0.83 (0.59–1.17) | ||||||||
| Nguyen et al. (2007) | –control study | 432 infants born with an isolated orofacial cleft during the period 1996 to 2001 and referred for surgery in two specialized centers covering all Norway; among them 314 were with cleft lip with or without palate (CLP) and 118 with cleft palate only (CPO) | 763 control infants randomly chosen from all Norwegian live births, using Medical Birth Registry of Norway | Mailed questionnaire | Hairdressing occupation of mother |
Isolated CLP: 4 Isolated CPO: 1 |
ORs: Isolated CLP: 4.80 (0.99–23) Isolated CPO: 2.30 (0.21–25) |
Women's smoking, drinking, education, parity, age, folic acid intake (dietary and supplement), father's age, calendar year of child's birth and whether the parents were married/living together |
| |
| Zhu et al. (2006) | Prospective cohort study | Among the 88 915 pregnancies included in Danish National Birth Cohort study 1997–2003, for this study authors identified 571 pregnancies of hairdressers ( | Data from Danish National Birth Cohort study, collected 1997–2003 using computer‐assisted telephone interviews | All malformations | 29 | ORs: 0.8 (0.6–1.2) | Maternal age, gravidity, history of spontaneous abortion, prepregnancy body mass index, smoking, and alcohol consumption | Major malformations were considered according to International Classification of Diseases, version 10, excluding accessory auricle, undescended testes, hip dislocation, and pigmented nevus. One hundred forty hairdressers worked for <35 h per week, and 410 for 35 h or more. No differences were found among the hairdressers with different weekly work hours. |
| |
| “Major” malformations | 24 | 0.9 (0.6–1.4) | ||||||||
|
| ||||||||||
| Herdt‐Losavio et al. (2009) | Retrospective cohort study | Cohort description: 15 003 newborns of mothers who worked as cosmetologists (defined as having a cosmetologist license in 2003) born in New York from 1997–2003 | New York City Congenital Malformation registry, and state birth records which include data on neonatal health indicators and maternal pregnancy risk factors |
| 863 |
ORs: vs. realtors and vs. general population, respectively: 0.92 (0.82–1.03) | Race, ethnicity, body mass index, age, smoking, participation in any aid program, education, alcohol use, prenatal care, maternal diabetes, residential county with high number of hazardous waste sites, and parity |
In paper Herdt‐Losavio et al. (2011), Realtors (control group): licensed real‐estate agents and real‐estate brokers. The authors stated that realtors have similar education requirements and large proportion of females. |
| |
|
| 116 |
0.82 (0.60–1.12) | ||||||||
|
| 137 |
1.53 (0.86–2.71)
| ||||||||
|
| 146 |
| ||||||||
|
| 233 |
1.06 (0.74–1.53)
| ||||||||
|
| 464 |
0.94 (0.80–1.10) | ||||||||
| Placenta previa | 77 |
0.78 (0.46–1.31) 0.93 (0.63–1.37) | ||||||||
| Abrubtio placenta | 109 |
0.98 (0.59–1.63) 0.83 (0.59–1.16) | ||||||||
| Premature rupture of membranes | 497 |
1.22 (0.95–1.57) 1.10 (0.94–1.29) | ||||||||
|
| 363 |
1.10 (0.93–1.32) | ||||||||
|
| 1423 |
1.00 (0.90–1.10) | ||||||||
| Prolonged labor | 177 |
1.48 (0.96–2.30) 1.13 (0.88–1.45) | ||||||||
|
| 297 |
0.96 (0.80–1.16) | ||||||||
|
| 170 |
0.93 (0.73–1.18) | ||||||||
| Zhu et al. (2006) | Prospective cohort study | Among the 88 915 pregnancies included in Danish National Birth Cohort study 1997–2003, for this study authors identified 571 pregnancies of hairdressers ( | Data from Danish National Birth Cohort study, collected 1997–2003 using computer‐assisted telephone interviews | Fetal loss | 5 |
ORs: 0.7 (0.3–1.8) | Maternal age, gravidity, history of spontaneous abortion, prepregnancy body mass index, smoking, and alcohol consumption | Preterm was considered <37 weeks, and very preterm birth <34 weeks of gestation. One hundred forty hairdressers worked for <35 h per week, and 410 for 35 h or more. No differences were found among the hairdressers with different weekly work hours. |
| |
| Preterm infant | 29 | 1.0 (0.7–1.6) | ||||||||
| Very preterm infant | 8 | 0.9 (0.4–2.1) | ||||||||
| Small‐for‐gestational age | 57 | 1.0 (0.7–1.3) | ||||||||
|
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| Hougaard et al. (2006) | Prospective cohort study | 4113 women aged 20–44 years at the baseline (1998), registered as economically active, with “bath assistant, hairdresser, barber, beautician and masseur” and “hairdressing saloons “as their main occupation and industry, and referent population of all economically active women in Denmark aged 20–44 years at baseline (number unreported, calculated based on reported number of events and group frequencies: 710.442) | Danish Occupational Hospitalization Register (OHR; record linkage between three national registers—the Central Person Register, the Hospital Register and the Employment Classification Module) | Female infertility, overall | 68 | RR: 0.93 (0.72–1.18) | – |
RRs with 95% were not presented in the paper, but we calculated them based on the reported frequencies of events and group sizes. Additionally, the authors reported adjusted RR for overall infertility only: 0.911 (95%CI 0.71–1.16) with adjustment for county, and 0.901 (0.70–1.14) for socioeconomic group. Comparison with additional control group was reported only for overall infertility: 1.01 (0.77–1.29) in comparison to 33 775 women employed as shop assistants with same age range |
| |
| Specific types: Associated with anovulation | 3 | 1.03 (0.33–3.22) | ||||||||
| Of tubal origin | 8 | 1.08 (0.54–2.17) | ||||||||
| Uterine origin | 0 | 1.48 (0.09–23.87) | ||||||||
| Cervical origin | 0 | 9.09 (0.53–156.14) | ||||||||
| of other origin | 19 | 0.94 (0.60–1.47) | ||||||||
| Unspecified type of infertility | 38 | 0.90 (0.65–1.23) | ||||||||
| Ronda et al. (2009) | Cross‐sectional study | 310 hairdressers recruited in hairdressing salons in Spain (age 30.3 ± 8.8 years) and 310 control office workers from a telecommunications company and the university from the same region (34.1 ± 8.3 years) | Questionnaire | Any menstrual disorder for which a participant received specialist treatment within last 12 month | 17 | OR: 2.17 (0.91–5.17) | Age and smoking | Hairdressers working in this profession for 10 or more years had significantly higher risk than controls for menstrual disorders and subfertility: 3.31 (1.34–8.17) and 3.27 (1.28–8.29), respectively. No significant associations with hours of work per week was found (≤40 or >40), overall mean (SD) was 43.5 (7.6) hours. |
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| “yes”: |
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| “unclear or no” | 0 | |
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| “adequate |
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| “partly” | 0.5 | |
| “no” | 0 | |
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| “Full”: |
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| “Partial”: | 1 | |
| “No” | 0 | |
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| “No indication of differential selection of patients/participants into the study” |
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| “Clear indication of above” | 0 | |
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| “No indication of exposure and/or outcome‐related misclassification” |
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| “Clear indication of above” | 0 | |
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| “Fully/adequately”: |
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| “Partly”: no CoI statement or no institutions given | 0.5 | |
| “no”: both lacking | 0 |
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| “Yes” |
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| “Unclear or no” | 0 | |
|
| “Full” |
|
| “Partial | 1 | |
| “Unclear or no” | 0 | |
|
| “Yes” |
|
| “Partial” | 0.5 | |
| “No or unclear” | 0 |
|
| “Fully/adequately” |
|
| “Partly” | 0.5 | |
| “No or unclear” | 0 | |
|
| “Fully/adequately”: |
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| “Partly”: | 0.5 | |
| “Unclear or no”: | 0 | |
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| “Yes” |
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| “No” | 0 | |
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| “Yes”: if published in a peer‐reviewed scientific journal |
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| “Unclear or no”: otherwise | 0 |