Dose-response-relationship between occupational exposure to diesel engine emissions and lung cancer risk: A systematic review and meta-analysis.

BACKGROUND: In 2012, the International Agency for Research on Cancer (IARC) concluded that diesel engine emissions (DEE) emissions cause cancer in humans. However, there is still controversy surrounding this conclusion, due to several studies since the IARC decision citing a lack of evidence of a dose-response relationship. OBJECTIVES: Through a systematic review, we aimed to evaluate all evidence on the association between occupational DEE and lung cancer to investigate whether there is an increased risk of lung cancer for workers exposed to DEE and if so, to describe the dose-response relationship. METHODS: We registered the review protocol with PROSPERO and searched for observational studies in relevant literature databases. Two independent reviewers screened the studies' titles/abstracts and full texts, and extracted and assessed their quality. Studies with no direct DEE measurement but with information on length of exposure for high-risk occupations were assigned exposure values based on the DEE Job-Exposure-Matrix (DEE-JEM). After assessing quality and informativeness, we selected appropriate studies for the dose-response meta-analysis. RESULTS: Sixty-five reports (from thirty-seven studies) were included in the review; one had a low risk of bias (RoB) (RR per 10 µg/m3-years: 1.014 [95%CI 1.007-1.021]). There was an increased, statistically significant risk of lung cancer with increasing DEE exposure for all studies (RR per 10 µg/m3-years = 1.013 [95%CI 1.004-1.021]) as well as for studies with a low RoB in the exposure category (RR per 10 µg/m3-years = 1.008 [95% CI1.001-1.015]). We obtained a doubling dose of 555 µg/m3-years for all studies and 880 µg/m3-years for studies with high quality in the exposure assessment. DISCUSSION: We found a linear positive dose-response relationship for studies with high quality in the exposure domain, even though all studies had an overall high risk of bias. Current threshold levels for DEE exposure at the workplace should be reconsidered.

Health and Care Dependency of Older Adults in Dresden, Germany: Results from the LAB60+ Study.

As the population in Europe ages, an increased focus on the health of older adults is necessary. The purpose of the population-based LAB60+ study was to examine the current health and care situation of the population of older adults in Dresden, Germany, and to assess the effect of age, gender, and socioeconomic status (SES) on health outcomes. In the first half of 2021, 2399 out of 6004 randomly sampled residents of Dresden aged 60 years or older answered questions on their chronic conditions, care dependency, health-related quality of life (HRQoL), and well-being, among others. Of the participants, 91.6% were afflicted with at least one chronic condition, and 73.1% had multimorbidities. More than one-tenth (11.3%) of participants were care dependent. Lower levels of HRQoL and well-being were observed compared to a published German reference population, perhaps because of the ongoing COVID-19 pandemic. Gender differences were observed for some chronic health conditions, and women had a higher risk for lower HRQoL, well-being, and depressivity compared to men. A low SES was associated with a higher risk of the vast majority of health outcomes. Particularly, socioeconomic factors and gender-related inequalities should be considered for the development of prevention and health-promoting measures during late life.

The isolated effect of age on the risk of COVID-19 severe outcomes: a systematic review with meta-analysis.

INTRODUCTION: Increased age has been reported to be a factor for COVID-19 severe outcomes. However, many studies do not consider the age dependency of comorbidities, which influence the course of disease. Protection strategies often target individuals after a certain age, which may not necessarily be evidence based. The aim of this review was to quantify the isolated effect of age on hospitalisation, admission to intensive care unit (ICU), mechanical ventilation and death. METHODS: This review was based on an umbrella review, in which Pubmed, Embase and preprint databases were searched on 10 December 2020, for relevant reviews on COVID-19 disease severity. Two independent reviewers evaluated the primary studies using predefined inclusion and exclusion criteria. The results were extracted, and each study was assessed for risk of bias. The isolated effect of age was estimated by meta-analysis, and the quality of evidence was assessed using Grades of Recommendations, Assessment, Development, and Evaluation framework. RESULTS: Seventy studies met our inclusion criteria (case mortality: n=14, in-hospital mortality: n=44, hospitalisation: n=16, admission to ICU: n=12, mechanical ventilation: n=7). The risk of in-hospital and case mortality increased per age year by 5.7% and 7.4%, respectively (effect size (ES) in-hospital mortality=1.057, 95% CI 1.038 to 1.054; ES case mortality=1.074, 95% CI 1.061 to 1.087), while the risk of hospitalisation increased by 3.4% per age year (ES=1.034, 95% CI 1.021 to 1.048). No increased risk was observed for ICU admission and intubation by age year. There was no evidence of a specific age threshold at which the risk accelerates considerably. The confidence of evidence was high for mortality and hospitalisation. CONCLUSIONS: Our results show a best-possible quantification of the increase in COVID-19 disease severity due to age. Rather than implementing age thresholds, prevention programmes should consider the continuous increase in risk. There is a need for continuous, high-quality research and 'living' reviews to evaluate the evidence throughout the pandemic, as results may change due to varying circumstances.

The Effect of Ambient Environmental Conditions on COVID-19 Mortality: A Systematic Review.

Weather conditions may have an impact on SARS-CoV-2 virus transmission, as has been shown for seasonal influenza. Virus transmission most likely favors low temperature and low humidity conditions. This systematic review aimed to collect evidence on the impact of temperature and humidity on COVID-19 mortality. This review was registered with PROSPERO (registration no. CRD42020196055). We searched the Pubmed, Embase, and Cochrane COVID-19 databases for observational epidemiological studies. Two independent reviewers screened the title/abstracts and full texts of the studies. Two reviewers also performed data extraction and quality assessment. From 5051 identified studies, 11 were included in the review. Although the results were inconsistent, most studies imply that a decrease in temperature and humidity contributes to an increase in mortality. To establish the association with greater certainty, future studies should consider accurate exposure measurements and important covariates, such as government lockdowns and population density, sufficient lag times, and non-linear associations.