Skip to main content

Hydrochlorothiazide use, sun exposure, and risk of keratinocyte cancer



Keratinocyte cancer (KC) rates are increasing in the U.S., particularly in older age groups. Use of hydrochlorothiazide (HCTZ), due to its photosensitizing properties, and high sun exposure are two known NMSC risk factors, but their synergistic effects are undetermined. The purpose of this study was to examine the development of NMSC between adults who did and did not use HCTZ, as well as those with high and low sun exposure.


A retrospective case–control sample was assembled from adult patients in north-central Wisconsin (USA). Duration of HCTZ use and occupational sun exposure were extracted from electronic health records, along with a linked survey of lifetime sun exposure.


There were 333 cases and 666 controls in the analytical sample. A significant main effect was observed for HCTZ duration in the full sample. Under low sun exposure, the odds of NMSC was 14% greater for each additional year of HCTZ use (aOR = 1.14 [1.11, 1.18], p < 0.001). In a sensitivity analysis of participants age 70 years and over, there was a borderline significant (p = 0.086) HCTZ use by high sun exposure interaction, suggesting modestly increased HCTZ risk in older, high sun exposure adults.


Consistent with prior studies, longer duration of HCTZ use was a predictor of NMSC in north-central Wisconsin adults. NMSC may be accelerated in HCTZ users with outdoor lifestyles, but future studies should attempt to further disaggregate specific effects of sun exposure time, HCTZ duration, and age on NMSC development.

Peer Review reports


High blood pressure is a major global health issue and among the leading preventable causes of premature death [1]. In combination with lifestyle modification and systems-level healthcare changes, antihypertensive medications are the mainstay therapy for blood pressure control [2, 3]. Hydrochlorothiazide (HCTZ) is among the most commonly prescribed antihypertensive agents [4], but it also results in well documented photosensitivity and phototoxicity [5] that can damage cell membranes and metabolic compounds related to cancer development [6]. Drug-induced photosensitivity increases the risk of several forms of cancer, most notably basal and squamous cell carcinomas [7, 8].

Exposure to ultraviolet (UV) radiation, usually by excessive time spent outdoors in the sun, is also a known risk factor for skin cancer development [9, 10]. For example, incident keratinocyte, or non-melanoma, skin cancer (KC) is higher in individuals who work in outdoor occupations with substantial UV exposure [11, 12]. Despite these well-established links between KC, sun exposure, and HCTZ use, there are few studies of whether sun exposure and HCTZ use may interact to accelerate KC risk. Studies on this topic have been limited by indirect markers of sun exposure such as the self-reported number of lifetime painful sunburns or residential address information indicative of living in sunnier regions. While some studies have adjusted for said markers of sun exposure in their examination of HCTZ use [13, 14], analyses of HCTZ effect modification by sun exposure are lacking, with just one known case–control study showing enhanced risk of squamous cell carcinoma among users of photosensitizing medications who also have a tendency to sunburn [15].

KC is the most common cancer worldwide, and rates for basal and squamous skin cell carcinomas have been increasing over the past several years, particularly in elderly subgroups [10, 16]. As such, control of modifiable KC risk factors is increasingly important. Both HCTZ use and sun exposure are associated with increased KC risk, but are also important for the management of high blood pressure control [2] and vitamin synthesis [17], respectively. Thus the identification of groups at greater KC risk could help balance/optimize medical decisions such as antihypertensive agent selection. Using a case–control design, the purpose of this study was to examine the development of KC between adults who did and did not use HCTZ, as well as those with high and low sun exposure.



The source population included adult patients of the Marshfield Clinic Health System (MCHS). MCHS is an integrated healthcare system serving a large geographic region in north-central Wisconsin (USA) that is primarily composed of small towns and rural areas. The source population was limited to adult patients with reasonably complete capture of their medical care in MCHS data systems, which included members of MCHS’s Virtual Data Warehouse (VDW) population. The VDW is a medical research resource used as part of the broader Health Care Systems Research Network [18] that includes individuals who are members of the MCHS-affiliated health insurance plan (Security Health Plan of Wisconsin) and/or residents of the Marshfield Epidemiologic Study Area (MESA). Individuals in MESA reside in one of 24 postal codes in northern and central Wisconsin [19], with over 90% capture of all medical visits [20]. Adults who were VDW members for ≥ 1 year between 01/01/2000 and 12/31/2019 were eligible for this study. A nested case–control sample was assembled. As described further below, cases included 333 randomly selected patients with a confirmed first known KC during the study timeframe. For each case, two controls were randomly selected (risk set sampling) from KC-free patients and matched on gender, 2-year age increment, and a clinical encounter within two years of the index case’s KC date, as well as counter-matched on duration of HCTZ use. Two matched controls were selected from HCTZ categories counter to each case. Counter-matching is used at the point of sampling to increase the range of responses for a key exposure, in this case to ensure a breadth of long-term, medium-term, short-term, and non HCTZ users (described further below). This counter-matching procedure essentially improves the statistical efficiency for interaction analyses between HCTZ use and sun exposure [21, 22]. A precise, a priori sample size calculation was not performed given the lack of prior data on interaction analyses between HCTZ use and sun exposure. In addition, the sample size was limited due to resource constraints that could not support chart reviews and surveys on more than 1,000 participants.

KC case status

Cases included those with a diagnosis of KC using International Classification of Disease (ICD) 9 and 10 codes indicative of basal, squamous, or unknown non-melanoma malignant neoplasm of dermatological origin (available upon request). Only cases with an ICD code for KC and corresponding positive biopsy result were included. Positive biopsies were confirmed using manual chart review. All KC cases were combined, as study funding constraints limited the available sample size, which precluded analyses in separate KC subtypes (e.g., squamous cell carcinomas or rarer subtypes). To avoid major confounders of KC associations, patients with a prior history of skin or other cancers, organ transplant, immunosuppressive therapy (e.g., azathioprine, cyclosporine), or human immunodeficiency virus were excluded from case case–control selection.


HCTZ use duration

Active HCTZ use was defined as those taking HCTZ as of their index enrollment encounter (KC date for cases, nearest clinical encounter for matched controls) and with at least one prior prescription for HCTZ or HCTZ combination agents for six continuous months prior to the index date. The total duration of HCTZ was defined as the number of years of HCTZ use prior to the index date. As described previously, for the purposes of counter-matching (to ensure a breadth of HCTZ users for interaction analyses), HCTZ use was divided into 3 groups based on observed frequencies: none, < 6 years (short- or medium-term use), and ≥ 6 years (long-term use). For analyses, HCTZ was modeled as the actual duration of use in years.

Sun exposure

Sun exposure was assessed using two methods that were later combined, including electronic health records (EHR) review of high sun exposure occupational history and survey of self-reported time spent in the sun across the lifespan. Specifically, occupational sun exposure was first collected by chart review of all patients and their documented occupation (within 10 years prior to their index date) indicative of regular sun exposure. Informed by prior meta-analyses [11, 12], this entailed identifying patients who worked in outdoor occupations such as agriculture, construction, mail carrier, and similar positions. Those without a documented employment history or who worked mainly indoors were (initially) considered as lower occupational sun exposure. Presumably due to their older average age, EHR-based occupation could only be found on 53% of the sample. Thus to provide additional information on sun exposure, all available cases and controls were also solicited to complete a brief survey on lifetime sun exposure (that included an initial mailed invitation letter, along with up to four phone follow-up contacts to encourage responding). Items from the survey developed in the U.S. Radiologic Technologists Study were used [23, 24]. Respondents reported time spent outdoors across ~ 20-year age ranges throughout their lifespan. Based on our internal validation testing of the correlations between high occupational sun exposure and self-reported lifetime sun exposure, participants who reported a mean of ≥ 6 h per day of sun exposure over their lifetime appeared to show the clearest ‘break’ point in that the strength of said correlation diminished at higher levels (see Fig. 1). Thus for analytical purposes, we operationally defined participants with either ≥ 6 h per day of mean lifetime sun exposure, or a high sun exposure occupation from the EHR, as high sun exposure. All other participants were categorized as lower sun exposure, which we refer to as simply ‘low’ sun exposure hereafter to improve interpretability.

Fig. 1
figure 1

Lifetime daily hours of sun exposure (shaded regions show medians and interquartile ranges) by occupation in north-central Wisconsin adults


Several covariates were also extracted from EHR data, including the age, gender, body mass index, and Charlson comorbidity score [25] closest to each participant’s index date. All study procedures were approved in advance by the Marshfield Clinic Institutional Review Board, with a request to waive documentation of informed consent. The study was also conducted in accordance with the Declaration of Helsinki.


Descriptive statistics were used to characterize KC cases and controls. In the multivariable modeling, weighted conditional logistic regression was used to determine main and interactive associations between KC case status, HCTZ duration, and sun exposure. As outlined in more detail by Cologne and colleagues [26], this is a standard analytical approach in counter-matched designs, with sampling weights used as offsets, added to the regression model to account for the weighted selection. In addition, models were adjusted for age, Charlson comorbidity score, and years of data capture prior to index date. Given the heavy influence of age on KC [10, 16], age was adjusted for as a linear and splined covariate. In addition, a planned subgroup analysis was conducted that was restricted to the subsample of participants age 70 years and older.


There were 999 individuals in the analytical sample, including 333 KC cases plus 666 KC-free controls. Descriptive characteristics of cases and controls are outlined in Table 1. KC cases (and thus matched controls) had a mean age of 71 years and 51% were female. The mean number of years on HCTZ prior to index date was 4.9 years among cases. Sun exposure surveys were mailed to 846 study participants who were still living and with a current address in MCHS data systems. The survey response rate was 56% (n = 473). With the exception of age (respondents were, on average, 1.9 ± 12.2 years older, p = 0.027), respondents and non-respondents were similar on all descriptive characteristics. The proportion of participants operationally defined as having high sun exposure was just slightly more common in cases relative to controls (24% vs. 20%, p = 0.192), and the majority of adults with high sun exposure were male (79%).

Table 1 Baseline characteristics of adults with and without non-melanoma skin cancer in north-central Wisconsin

As outlined in Table 2, HCTZ duration showed a significant main effect in the final interaction model. Under low sun exposure, the odds of KC was 14% greater for each additional year of HCTZ use (aOR = 1.14 [95% CI: 1.11, 1.18], p < 0.001). High sun exposure, as well as the HCTZ duration by high sun exposure interaction, showed weaker, non-significant associations with KC. Charlson comorbidity score and age (splined) were significant covariates. Given the variability of KC risk by age, a planned sensitivity analysis followed that was restricted to the 434 adults in the sample who were age 70 years and over. The main effect for HCTZ duration in this older age strata was again a significant predictor of KC (aOR = 1.08 [95% CI: 1.03, 1.12], p = 0.001) and the HCTZ use by high sun exposure interaction was borderline significant (p = 0.086). To better illustrate this association, the predicted probability of KC by HCTZ duration and sun exposure groups is described in Fig. 2.

Table 2 Multivariable logistic regression model of the association between keratinocyte cancer, hydrochlorothiazide duration, and sun exposure, along with covariates, in north-central Wisconsin adults (N = 999)
Fig. 2
figure 2

Model-estimated probability (P) of keratinocyte cancer (KC) by duration of hydrochlorothiazide (HCTZ) use and high vs. low sun exposure in north-central Wisconsin adults age 70 and older (n = 434)


To our knowledge, this was the first study to examine the interaction between HCTZ use and individual-level lifetime sun exposure. Consistent with prior studies [27], HCTZ was associated with KC in north-central Wisconsin adults, as each additional year of HCTZ use correlated with a 14% increase in KC risk. The degree to which HCTZ interacted with high sun exposure to further increase KC risk, however, was generally minimal. High lifetime sun exposure in combination with HCTZ duration was not significantly associated with KC in the full sample, but there was a statistically borderline indication of increased KC risk in HCTZ users with high sun exposure in the subset of participants age 70 years or older. This increased risk of HCTZ use in older, high sun exposure adults was rather modest though, perhaps most noticeable in those with over a decade of prior HCTZ use.

Concerns about HCTZ and sun interactions are well founded. High UV exposure has long been known to increase the risk of severe sunburn and skin cancer [9, 10] and, in response to recent evidence from very large observational studies [14, 28, 29], HCTZ labeling in the U.S. now has overt warnings of increased KC risks [30]. KC is fast becoming a disease (primarily) of the elderly [10, 31], likely reflecting accrued exposures to KC risk factors (e.g., sun seeking, ozone depletion) over longer lifetimes [32, 33]. For example, a recently retired 70 year old farmer presenting with KC may have accumulated considerable time on HCTZ while they were also still working long days in the sun. This may not (yet) be the case in younger individuals, even with an otherwise similar risk factor profile. More research is needed in larger prospective samples to disaggregate specific effects of sun exposure time, HCTZ duration, and age of KC development and clinical presentation.

This study was strengthened by the sampling of cases and controls from a defined population with reasonably complete capture of prior medical care/history within an integrated healthcare system. The chief limitation was the observational design, including unmeasured confounding and measurement errors, that did not permit causal conclusions. Study funding constraints did not permit assembly of a larger sample due to the need for chart review, which limited statistical power and prohibited analyses by KC subtype, despite the counter-matching method. It appears most prior research has predominantly observed (separate) associations between squamous cell carcinoma and HCTZ use and sun exposure, thus it is important for future studies to use larger samples that can examine effects in specific KC subtypes. If, for example, squamous cell carcinoma is more reactive to sun exposure than basal cell carcinoma, the combination of all KC subtypes as a composite outcome could mask more meaningful interactions between sun exposure, HCTZ use, and squamous cell carcinoma (resulting in a false negative finding). Sun exposure misclassification was also a concern, as this measure was rather blunt and required the combination of both occupational history extracted from the EHR and survey based recall of hours spent in the sun over one’s lifetime. These are indirect, estimated measures of total UV ‘dose’ and some participants were likely incorrectly classified as low sun exposure due to limited occupational data in the EHR, or survey non-response or recall bias. In addition, the timing of our sun exposure metric was broad; applicable to a given participant’s lifetime and/or career. It was not possible to tie a finer grain measure of sun exposure directly to the timeframe of HCTZ use, which may be a more specific catalyst of KC risk worth exploring in future studies. Though some major photosensitizing medications were controlled for in the exclusion criteria, all possible photosensitizing medications were not adjusted for in our analyses. Finally. generalizability was also limited by the predominantly rural, racially homogenous source population.


KC is a rising public health risk, which underscores the need for better control of KC risk factors. Consistent with prior studies [27], longer duration of HCTZ use was a predictor of KC in this study of north-central Wisconsin adults. This risk of KC may also be somewhat accelerated in older HCTZ users with high sun exposure. If confirmed in other prospective studies, our findings may have implications for the selection of optimal antihypertensive medications and the importance of minimizing UV exposure (e.g., protective clothing), particularly given broader trends toward an aging population with greater high blood pressure and KC needs.

Availability of data and materials

The data that support the study conclusions are unavailable for public access because informed consent to share said data (beyond the research team) was not obtained from study participants, but are available from the corresponding author on reasonable request.



United States of America


Keratinocyte cancer






Marshfield Clinic Health System


Virtual Data Warehouse


Marshfield Epidemiologic Study Area


International Classification of Disease


Electronic health records


Adjusted odds ratio


Confidence interval


  1. Bromfield S, Muntner P. High blood pressure: the leading global burden of disease risk factor and the need for worldwide prevention programs. Curr Hypertens Rep. 2013;15:134–6.

    Article  Google Scholar 

  2. James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, Lackland DT, LeFevre ML, MacKenzie TD, Ogedegbe O, Smith SC Jr, Svetkey LP, Taler SJ, Townsend RR, Wright JT Jr, Narva AS, Ortiz E. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA. 2014;311:507–20.

    Article  CAS  Google Scholar 

  3. Casey DE Jr, Daniel DM, Bhatt J, et al. Controlling High Blood Pressure: An Evidence-Based Blueprint for Change. Am J Med Qual. 2022;37:22–31.

  4. Kantor ED, Rehm CD, Haas JS, et al. Trends in prescription drug use among adults in the United States from 1999–2012. JAMA. 2015;314:1818–31.

    Article  CAS  Google Scholar 

  5. Frishman WH, Brosnan BD, Grossman M, et al. Adverse dermatologic effects of cardiovascular drug therapy: Part II. Cardiol Rev. 2002;10:285–300.

    Article  Google Scholar 

  6. Kunisada M, Masaki T, Ono R, Morinaga H, et al. Hydrochlorothiazide enhances UVA-induced DNA damage. Photochem Photobiol. 2013;89:649–54.

    Article  CAS  Google Scholar 

  7. Kaae J, Boyd HA, Hansen AV, et al. Photosensitizing medication use and risk of skin cancer. Cancer Epidemiol Biomarkers Prev. 2010;19:2942–9.

    Article  CAS  Google Scholar 

  8. Schmidt SA, Schmidt M, Mehnert F, et al. Use of antihypertensive drugs and risk of skin cancer. J Eur Acad Dermatol Venereol. 2015;29:1545–54.

    Article  CAS  Google Scholar 

  9. International Agency for Research on Cancer. Solar and Ultraviolet Radiation. Published 2018. Accessed 8 Jul 2021.

  10. Madan V, Lear JT, Szeimies RM. Non-melanoma skin cancer. Lancet. 2010;375:673–85.

    Article  CAS  Google Scholar 

  11. Bauer A, Diepgen TL, Schmitt J. Is occupational solar ultraviolet irradiation a relevant risk factor for basal cell carcinoma? A systematic review and meta-analysis of the epidemiological literature. Br J Dermatol. 2011;165:612–25.

    CAS  PubMed  Google Scholar 

  12. Schmitt J, Seidler A, Diepgen TL, Bauer A. Occupational ultraviolet light exposure increases the risk for the development of cutaneous squamous cell carcinoma: A systematic review and meta-analysis. Br J Dermatol. 2011;164:291–307.

    Article  CAS  Google Scholar 

  13. McDonald E, Freedman DM, Alexander BH, et al. Prescription diuretic use and risk of basal cell carcinoma in the nationwide U.S. radiologic technologists cohort. Cancer Epidemiol Biomarkers Prev. 2014;23:1539–45.

    Article  Google Scholar 

  14. Eworuke E, Haug N, Bradley M, et al. Risk of nonmelanoma skin Cancer in association with use of Hydrochlorothiazide-containing products in the United States. JNCI Cancer Spectr. 2021;5:pkab009.

    Article  Google Scholar 

  15. Robinson SN, Zens MS, Perry AE, et al. Photosensitizing agents and the risk of non-melanoma skin cancer: A population-based case-control study. J Invest Dermatol. 2013;133:1950–5.

    Article  CAS  Google Scholar 

  16. Lomas A, Leonardi-Bee J, Bath-Hextall F. A systematic review of worldwide incidence of nonmelanoma skin cancer. Br J Dermatol. 2012;166:1069–80.

    Article  CAS  Google Scholar 

  17. Clipp SL, Burke A, Hoffman-Bolton J, Alani R, Liégeois NJ, Alberg AJ. Sun-seeking behavior to increase cutaneous vitamin D synthesis: when prevention messages conflict. Public Health Rep. 2011;126:533–9.

    Article  Google Scholar 

  18. Hornbrook MC, Hart G, Ellis JL, Bachman DJ, Ansell G, Greene SM, et al. Building a virtual cancer research organization. J Natl Cancer Inst Monogr. 2005;35:12–25.

    Article  Google Scholar 

  19. DeStefano F, Eaker ED, Broste SK, Nordstrom DL, Peissig PL, Vierkant RA, et al. Epidemiologic research in an integrated regional medical care system: The Marshfield Epidemiologic Study Area. J Clin Epidemiol. 1996;49:643–52.

    Article  CAS  Google Scholar 

  20. Kieke AL, Kieke BA Jr, Kopitzke SL, et al. Validation of health event capture in the Marshfield Epidemiologic Study Area. Clin Med Res. 2015;13:103–11.

    Article  Google Scholar 

  21. Steenland K, Deddens JA. Increased precision using countermatching in nested case-control studies. Epidemiol. 1997;8:238–42.

    Article  CAS  Google Scholar 

  22. Colin R, Grzebyk M, Wild P, Hédelin G, Bourgkard È. Bladder cancer and occupational exposure to metalworking fluid mist: a counter-matched case-control study in French steel-producing factories. Occup Environ Med. 2018;75:328–36.

    Article  Google Scholar 

  23. Boice JD Jr, Mandel JS, Doody MM, Yoder RC, McGowan R. A health survey of radiologic technologists. Cancer. 1992;69:586–98.

    Article  Google Scholar 

  24. Freedman DM, Kimlin MG, Hoffbeck RW, Alexander BH, Linet MS. Multiple indicators of ambient and personal ultraviolet radiation exposure and risk of non-Hodgkin lymphoma (United States). J Photochem Photobiol B. 2010;101:321–5.

    Article  CAS  Google Scholar 

  25. Charlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J Clin Epidemiol. 1994;47:1245–51.

    Article  CAS  Google Scholar 

  26. Cologne JB, Sharp GB, Neriishi K, Verkasalo PK, Land CE, Nakachi K. Improving the efficiency of nested case-control studies of interaction by selecting controls using counter matching on exposure. Int J Epidemiol. 2004;33:485–92.

    Article  Google Scholar 

  27. Garrido PM, Borges-Costa J. Hydrochlorothiazide treatment and risk of non-melanoma skin cancer: Review of the literature. Rev Port Cardiol. 2020;39:163–70.

    Article  Google Scholar 

  28. Pedersen S, Gaist D, Schmidt SAJ, Hölmich LR, Friis S, Pottegård A. Hydrochlorothiazide use and risk of nonmelanoma skin cancer: A nationwide case-control study from Denmark. J Am Acad Dermatol. 2018;78:673–81.

    Article  CAS  Google Scholar 

  29. Lecaros-Astorga DA, Molina-Guarneros JA, Rodríguez-Jiménez P, Martin-Arias LH, Sainz-Gil M. Hydrochlorothiazide use and risk of non-melanoma skin cancer in Spain: A case/non-case study. Int J Clin Pharmacol Ther. 2021;59:280–8.

    Article  CAS  Google Scholar 

  30. U.S. Food and Drug Administration. FDA approves label changes to hydrochlorothiazide to describe small risk of non-melanoma skin cancer. Published August 2020. Accessed 8 Jul 2021.

  31. Flohil SC, de Vries E, Neumann HA, Coebergh JW, Nijsten T. Incidence, prevalence and future trends of primary basal cell carcinoma in the Netherlands. Acta Derm Venereol. 2011;91:24–30.

    Article  Google Scholar 

  32. Kauvar AN, Cronin T Jr, Roenigk R, Hruza G, Bennett R, American Society for Dermatologic Surgery. Consensus for nonmelanoma skin cancer treatment: basal cell carcinoma, including a cost analysis of treatment methods. Dermatol Surg. 2015;41:550–71.

    Article  CAS  Google Scholar 

  33. Ciazynska M, Kamińska-Winciorek G, Lange D, et al. The incidence and clinical analysis of non-melanoma skin cancer. Sci Rep. 2021;11:4337.

    Article  CAS  Google Scholar 

Download references


The authors gratefully acknowledge the assistance of all study staff and participants.


This study was funded by philanthropic support of the Marshfield Clinic Research Institute's General Medical Research Fund.

Author information

Authors and Affiliations



EA was the study PI. EA, JV, RB designed the study methodology. RB conducted the statistical analyses. JV drafted the initial manuscript. All authors critically reviewed and edited manuscript drafts, and approved the final manuscript.

Corresponding author

Correspondence to Jeffrey J. VanWormer.

Ethics declarations

Ethics approval and consent to participate

All study procedures were approved in advance by the Marshfield Clinic Institutional Review Board, with a request to waive documentation of informed consent. For the survey on sun exposure, a passive consent procedure was utilized whereby participants were informed in the study invitation that their completed surveys would be used for research.

Consent for publication

Not applicable.

Competing interests

The authors report no conflicting or competing interests in this study.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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 The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

VanWormer, J.J., Abokede, E.B. & Berg, R.L. Hydrochlorothiazide use, sun exposure, and risk of keratinocyte cancer. BMC Public Health 22, 1282 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: