Bin He

Sep 5, 2024 | nature.com | Xingye Zhou |Lei Huang |Bin He |Tingting Ou |Xingren Wang

Although there is an association between income status and concentration of perfluoroalkyl and polyfluoroalkyl substance (PFAS), the association remains uncertain in patients with hypertension, hyperlipidemia, and comorbidities. Data from the 2013–2016 National Health and Nutrition Examination Survey were analyzed. A total of 2665 adults were included, and the data included participants' serum PFAS (perfluorooctanoic acid [PFOA], perfluorononaic acid, perfluorodecanoic acid, perfluoroundecanoic acid, perfluorohexane sulfonic acid, and perfluorooctane sulfonic acid) levels and selected covariates. Multivariate linear regression models were used to examine the association between the ratio of family income to poverty (PIR) and individual serum PFAS concentrations in the hypertensive and/or hyperlipidemia groups after adjusting for covariates. The potential effects of sex and age on the results were explored using stratified analysis. A mediating effect model was used to explore the mediating effects of body mass index (BMI) and waist circumference on the association results. After adjusting for potential confounders, for hyperlipidemia and comorbidities (hypertension and hyperlipidemia), serum levels of multiple common PFAS increased by 0.09% (95%Confidence interval [CI] 0.02–0.15%) to 0.13% (95%CI 0.08–0.19%) and 0.10% (95%CI 0.02–0.17%) to 0.12% (95%CI 0.06–0.18%), respectively, with each 1% increase in PIR. The covariate model and stratified analyses results suggested the potential effects of different covariates such as age and sex, leading to changes in the statistical significance of the association results. BMI significantly mediated the effect of PIR on PFOA in hyperlipidemia (13%, P < 0.001). Household income in adults with hyperlipidemia and comorbidities positively correlated with serum PFAS concentration in the United States. Obesity played an indispensable mediating role in the association between economic income and PFAS concentration.

Aug 23, 2024 | nature.com | Hongtao Xu |Hans W. Chen |Deliang Chen |Yingping Wang |Xu Yue |Lanlan Guo | +7 more

Wildfires cause critical shifts in ecosystem functions, such as dramatic reductions in vegetation productivity. However, how fast vegetation regains its pre-fire productivity levels and the key influencing factors remain poorly understood on a global scale. Here we present the global estimates of post-fire vegetation productivity recovery from 2004 to 2021 using gross primary productivity observations and related proxies at a spatial resolution of 10 km, employing a random forest model to identify the key factors influencing recovery time. Roughly 87% of burned vegetation regained pre-fire productivity levels within 2 years, with evergreen needleleaf forests and savannas displaying the lengthiest recovery periods. During the recovery phase, post-fire climate conditions, such as soil moisture, vapour pressure deficit and air temperature, had nonlinear impacts on recovery time globally. These climatic factors exhibited a dominant role in regional recovery time in ~89% of the globally assessed area. As climate aridity decreased, the areas where recovery time was dominated by soil moisture and vapour pressure deficit decreased, while the influence of temperature increased. Soil-moisture-dominated regions witnessed reduced proportions of promoting vegetation recovery as aridity decreased, whereas vapour pressure deficit and air-temperature-dominated regions saw an increase in such proportions. Regions with strong human interventions were associated with accelerated vegetation recovery compared with similar ecosystems with smaller human interventions. These findings had important implications for global carbon-cycle assessments and fire-management strategies. More than 80% of vegetation burned globally regained its pre-fire level of productivity within 2 years, according to an assessment of post-fire vegetation productivity from 2004 to 2021.