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1.
Environ Int ; 137: 105553, 2020 04.
Artigo em Inglês | MEDLINE | ID: mdl-32086077

RESUMO

The effects of lead as a dietary pollutant remain a global public health concern that needs urgent resolution. Children are highly susceptible to the adverse outcomes of lead pollution, as even low levels of lead may cause irreversible damage to intellectual development. Since several sources of lead exposure are present in the environment, it is necessary to identify the attributable burden of lead-related diseases arising from different exposure sources. In the present study, we used epidemiological data from studies around the nation to estimate the burden of mild intellectual disability (MID) attributed to lead exposure sources by using disability-adjusted life years (DALYs). To this end, a dose-response approach was used and a model comprising three components was established: exposure, dose-response, and DALYs module. In Chinese children aged 0-6 years, blood lead levels (BLLs) of 5.34 ± 3.09 µg/dL resulted in a MID incidence rate of 12.84 cases per 1000 children, with an estimated burden of disease (BoD) of 42.23 DALYs per 1000 children. Owing to dietary lead exposure, 36.64 healthy life years per 1000 children were lost, which was notably higher than the outcomes associated with exposure from other sources. This was consistent with the result that dietary exposure was the main contributor to children's lead exposure, accounting for 86.76%. According to the regional distribution based on the existing literature, the areas in China with higher BLLs were Heilongjiang, Shanxi, and Jiangxi. Our findings provided the information for lead risk management decisions and policies making.


Assuntos
Dieta , Deficiência Intelectual , Chumbo , Criança , Pré-Escolar , China , Efeitos Psicossociais da Doença , Crianças com Deficiência , Humanos , Lactente , Recém-Nascido , Chumbo/farmacocinética , Chumbo/toxicidade , Anos de Vida Ajustados por Qualidade de Vida
2.
J Cosmet Dermatol ; 19(5): 1231-1238, 2020 May.
Artigo em Inglês | MEDLINE | ID: mdl-31498557

RESUMO

BACKGROUND: For the evaluation results of skin sensitivity, such as clinical parameters, stinging test records and biophysical assessments dates might be impacted by many factors, the influence factors need to be further explored, and the skin sensitivity evaluation process and methodology needed distinction and normalization. In this study, we investigated the changes of sensitive skin indexes and lactic acid stinging test results in different seasons, facial regions, skin photo-type, and living habits. METHODS: Twenty-four healthy subjects had completed this study. Lactic acid stinging test was performed in different seasons. Transepidermal water loss (TEWL), skin hydration, sebum secretion, and pH were measured in an environment-controlled room. Correlations between stinging responses, skin biophysical parameters, and sensitive skin inducements in different seasons were statistically analyzed. RESULTS: Skin TEWL, hydration, sebum secretion, and pH values on different facial parts were various. Two-way correlation analysis between the results of lactic acid stinging test in different seasons and the sensitivity factors showed differences between summer, autumn, and winter. The mean scores of lactic acid stinging test increased in autumn. Linear regression analysis of skin sensitivity factors in type III and type IV photobiology skin found that the frequency of sleeping time and eating spicy food in the past of week could infect the sensitive skin evaluation dates statistically (P < .05). DISCUSSION/CONCLUSIONS: Skin sensitivity assessment results were impacted by seasonal transformation, living habits and customs, and facial regions. These indicted that we should consider above interfering factors when evaluated the skin sensitivity for getting more precise dates.


Assuntos
Dermatite de Contato/diagnóstico , Fenômenos Fisiológicos da Pele , Testes Cutâneos/métodos , Pele/fisiopatologia , Adulto , Dermatite de Contato/fisiopatologia , Face , Feminino , Voluntários Saudáveis , Humanos , Concentração de Íons de Hidrogênio , Pessoa de Meia-Idade , Estações do Ano , Sebo/metabolismo , Pele/química , Pele/metabolismo , Perda Insensível de Água , Adulto Jovem
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