🎨🕵️♂️ BREAKING: Ink lovers shocked to discover that injecting colorful chemicals into their skin might not be as healthful as a kale smoothie, according to Danish twin detectives. 📚🔍 But don't worry, BMC Public Health has got your back with a riveting read—just skip the ads and 12 search bars first! 🚀📄
https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-025-21413-3 #InkHealth #Risks #ColorfulChemicals #TattooSafety #BMCPublicHealth #DanishDetectives #HackerNews #ngated
Tattoo ink exposure is associated with lymphoma and skin cancers – a Danish study of twins - BMC Public Health
Background We aim to study the potential association between tattoo ink exposure and development of certain types of cancers in the recently established Danish Twin Tattoo Cohort. Tattoo ink is known to transfer from skin to blood and accumulate in regional lymph nodes. We are concerned that tattoo ink induces inflammation at the deposit site, leading to chronic inflammation and increasing risk of abnormal cell proliferation, especially skin cancer and lymphoma. Methods We conducted two designs of twin studies to improve confounder control: A cohort study of 2,367 randomly selected twins and a case-control study of 316 twins born in the period 1960–1996. Cancer diagnoses (ICD-10) were retrieved from the Danish Cancer Registry and tattoo ink exposure from the Danish Twin Tattoo survey from 2021. The analysis addressed effects of time-varying exposure. Results In the case-control study, individual-level analysis resulted in a hazard of skin cancer (of any type except basal cell carcinoma) that was 1.62 times higher among tattooed individuals (95% CI: 1.08–2.41). Twin-matched analysis of 14 twin pairs discordant for tattoo ink exposure and skin cancer showed HR = 1.33 (95% CI: 0.46–3.84). For skin cancer and lymphoma, increased hazards were found for tattoos larger than the palm of a hand: HR = 2.37 (95% CI: 1.11–5.06) and HR = 2.73 (95% CI: 1.33–5.60), respectively. In the cohort study design, individual-level analysis resulted in a hazard ratio of 3.91 (95% CI: 1.42–10.8) for skin cancer and 2.83 (95% CI: 1.30–6.16) for basal cell carcinoma. Conclusion In conclusion, our study suggests an increased hazard of lymphoma and skin cancers among tattooed individuals, demonstrated through two designs: a twin cohort and a case-cotwin study. We are concerned that tattoo ink interacting with surrounding cells may have severe consequences. Studies that pinpoint the etiological pathway of tattoo ink induced carcinogenesis are recommended to benefit public health.
I'm very happy to announce that my paper on a new way to measure health was finally published in #BMCPublicHealth! #HealthResearch
Find it (open access) here: https://link.springer.com/article/10.1186/s12889-023-16778-2
and follow along for an overview of the paper :) (1/11)
Measuring generic health using the minimum european health module: does it work and is it better than self-rated health? - BMC Public Health
Background Health is a fundamental aspect of many scientific disciplines and its definition and measurement is the analytical core of many empirical studies. Comprehensive measures of health, however, are typically precluded in survey research due to financial and temporal restrictions. Self-rated health (SRH) as a single indicator of health, on the other hand, exhibits a lack of measurement invariance by age and is biased due to non-health influences. In the three-item Minimum European Health Module (MEHM), SRH is complemented with questions on chronic health conditions and activity limitations, thus providing a compromise between single indicators and comprehensive measures. Methods Using data from the German Ageing Survey (2008 & 2014; n = 12,037), I investigated the feasibility to combine the MEHM into a generic health indicator and judged its utility in comparison to SRH as a benchmark. Additionally, I explored the option of an extended version of the MEHM by adding information on multimorbidity and the presence and intensity of chronic pain. Results The analyses showed that both versions of the MEHM had a good internal consistency and each represented a single latent variable that can be computed using generalized structural equation modeling. The utility of this approach showed great promise as it significantly reduced age-specific reporting behavior and some non-health biases present in SRH. Conclusions Using the MEHM to measure generic (physical) health is a promising approach with a wide array of applications. Further research could extend these analyses to additional age groups, other countries, and establish standardized weights for greater comparability.
‼️It’s out‼️
The second chapter of my PhD thesis was just published on #BMCPublicHealth!
With colleagues from DEP Lazio, we analyzed the association between economic disadvantage and SARS-CoV-2 spread in the Italian three-tier restriction system.
👇
https://t.co/zlqBqB2nT7
Mapping Where Overdoses Are More Likely to Kill | The Tyee
New research shows the risk of a drug a poisoning ending in death is high in rural areas.
New
#research led by Leonardo Z. Ferreira International Center for Equity in Health & co-authored by
#WorldPopProject team: Edson Utazi, Kristine Nilsen and Andy Tatem - Geographic
#inequalities in
#health intervention coverage –
#mapping the composite coverage index in
#Peru using
#geospatial #modelling - in
#BMCPublicHealth https://doi.org/10.1186/s12889-022-14371-7Geographic inequalities in health intervention coverage – mapping the composite coverage index in Peru using geospatial modelling - BMC Public Health
Background The composite coverage index (CCI) provides an integrated perspective towards universal health coverage in the context of reproductive, maternal, newborn and child health. Given the sample design of most household surveys does not provide coverage estimates below the first administrative level, approaches for achieving more granular estimates are needed. We used a model-based geostatistical approach to estimate the CCI at multiple resolutions in Peru. Methods We generated estimates for the eight indicators on which the CCI is based for the departments, provinces, and areas of 5 × 5 km of Peru using data from two national household surveys carried out in 2018 and 2019 plus geospatial covariates. Bayesian geostatistical models were fit using the INLA-SPDE approach. We assessed model fit using cross-validation at the survey cluster level and by comparing modelled and direct survey estimates at the department-level. Results CCI coverage in the provinces along the coast was consistently higher than in the remainder of the country. Jungle areas in the north and east presented the lowest coverage levels and the largest gaps between and within provinces. The greatest inequalities were found, unsurprisingly, in the largest provinces where populations are scattered in jungle territory and are difficult to reach. Conclusions Our study highlighted provinces with high levels of inequality in CCI coverage indicating areas, mostly low-populated jungle areas, where more attention is needed. We also uncovered other areas, such as the border with Bolivia, where coverage is lower than the coastal provinces and should receive increased efforts. More generally, our results make the case for high-resolution estimates to unveil geographic inequities otherwise hidden by the usual levels of survey representativeness.
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