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Several studies have elucidated the link between outdoor noise and depression, but the relationship between indoor noise levels and depression symptoms in residential and public places remains unclear. This study was a multicenter observational study with a cross-sectional design. In 2019, a total of 10 545 indoor noise levels on-site and 26 018 health data from practitioners were collected from 2402 hotels in 111 cities. Indoor daily noise data levels were detected, and PHQ-9 questionnaires were used to collect health data. Logistic analysis was used to determine the association between depression score and noise level, negative binomial regression was used to determine potential risks. The geometric mean indoor noise level was 38.9 dB (A), with approximately 40.9% of hotels exceeding the 45 dB value (A). Approximately 19.1% of hotel workers exhibited mild and above depressive symptoms. In addition to functional zoning, geographic location, central air conditioner, decoration status, and other factors had an impact on noise levels (p 0.05). Results of logistic and negative binomial regression showed the following: (1) there was significantly positive association between indoor noise and high depression scores above 2 (OR = 1.007, 95% CI: 1.002, 1.012) and (2) some sub-groups were more susceptible to this effect, especially for the younger female workers working in the first-tier cities, having higher education level, lower level of income, smoking, and longer working hours. This study confirms an early potential effect of indoor noise on depression. It is recommended to implement evidence-based measures to control noise sources in hotels.

SummaryPolycyclic aromatic hydrocarbons (PAHs) in indoor dust are one of the common exposure sources for children worldwide. The aim of this study is to explore PAHs pollution status in indoor dust and estimate health risk on Chinese children with big data. Weighted average concentration was used to analyze source and characterization of PAHs in indoor dust based on peer-reviewed literature. According to specific inclusion criteria, 17 studies were included finally to analyze weighted average concentration. The national average concentration of Σ16PAHs was approximately 25.696 µg/g. The highest concentration of Σ16PAHs was in Shanxi (2111.667 µg/g), and the lowest was in Hong Kong (1.505 µg/g). The concentrations in Shanxi and Guangdong were higher than national level and the over standard rate was 18.18%. The concentrations of individual PAHs varied greatly across the country, and Flu in Shanxi was the highest (189.400 µg/g). The sources of PAHs varied in different regions and combustion processes played a leading role. PAHs exposure through ingestion and dermal contact was more carcinogenic than inhalation. The incremental lifetime cancer risk model indicated that children lived in Shanxi were found in the highest health risk coupled with the highest BaPE concentration (54.074 µg/g). Although PAHs concentrations of indoor dust showed a downward trend from 2005 to 2018, indoor environmental sanitation should be improved with multidisciplinary efforts. Health standard should be possibly established to minimize children exposure to PAHs in indoor dust in China.

What is already known about this topic? Elderly persons are vulnerable to infectious diseases, and nutritional status and health conditions were important to evaluate for disease prevention and ability to recover for the elderly during the coronavirus disease 2019 (COVID-19) pandemic. What is added by this report? In our study, a rapid assessment questionnaire was used to investigate the change of household life and dietary intake of the elderly (aged 60 years or more) during community closure. Food consumption frequency of aquatic food products, soybeans, and fresh fruits declined dramatically with reductions of 70.9%, 70.9%, and 53.0%, respectively, and 49.6% of the elderly lived with chronic non-communicable diseases but had little knowledge of nutrition and health. What are the implications for public health practice? Community closure measures in Wuhan City have played a key role in cutting off the transmission route of COVID-19 and protecting vulnerable groups. As a high-risk population, the elderly should be advised to maintain and strengthen a balanced diet with proper nutrition through increasing intake of aquatic food products, soybeans, fruits, and vegetables, reducing total caloric intake, and decreasing oil and salt consumption. These measures will be significant for the elderly to reduce the risk of chronic disease complications and COVID-19 infection and to decrease the chance of critical illness.

What is already known about this topic? Residential air pollution can cause a large disease burden, and residential air quality is directly influenced by residential fine particulate matter (PM2.5). Residential PM2.5 pollution is of critical concern in China given that the characteristics and influencing factors of residential PM2.5 in China are not clear. What is added by this report? This study focuseed on residential PM2.5 concentration of 12 cities with the on-site investigation in 2018, and provided the latest characteristics and potential influencing factors of residential PM2.5 under general living scenarios in China. What are the implications for public health practice? This study suggested that the control of residential PM2.5 pollution should be reinforced with revised indoor air quality standards under obvious spatial diversity.

Residential airborne culturable bacteria (RAB) are commonly used to assess indoor microbial loads, which is a very effective and recognized indicator of public concern about residential air quality. Many countries and organizations have set exposure limits for residential bacteria. Nevertheless, few studies have been conducted in multicenter cities about the distribution and influencing factors of RAB. It is a challenge to investigate the distribution of RAB and identify the association between indoor influencing variables and RAB in China. The current finding implied the comparative results from a one-year on-site survey of 12 cities in China. The concentration of RAB ranged from 0 CFU/m

To explore the pollution characteristics of metals in household dust in China and their exposure to children, this study searched peer-reviewed papers published during 1980-2020 and analyzed 30 eligible papers screened under the per-decided strategy. We evaluated the sample-weighted concentration (SWC) of each metal, explored the sources of metals, and presented the quantitative description of spatial-temporary characteristics and children exposure to 13 metals with multi-route under a general living scenario. The results showed the concentrations of 13 metals with a range of 0.89-29 090.19 mg/kg. The SWC of Cd in household dust from rural areas was 3.29 times of that from urban areas, while the SWC of Ni from urban areas was 3.71 times of that from rural areas. The results showed that four principal components were extracted, and the cumulative contribution rate reached 79.127%. The exposure dose of 13 metals to children aged 2-3 years was presented with the highest by ingestion. Metals such as Fe, Zn, and Mn posed inevitable health risk to children with high exposure. Countermeasures should be carried out to minimize the children exposure to metals in household dust urgently, such as the establishment of environmental health standard for household dust.

Residential formaldehyde pollution is one of the leading residential harmful pollutants with a large production and consumption globally and remains much uncertainty in Chinese families with huge health burden for children worldwide. A multi-center observation study from 11 cities was conducted to investigate residential formaldehyde pollution levels measured by phenol reagent spectrophotometry. Data on household characteristics and schoolchildren's health were collected by questionnaire. The median concentration of residential formaldehyde was 0.025 (0.002-0.281) mg/m

This study examined indoor air pollutants and their health effects on allergic rhinitis in 3194 employees of 226 bus station halls and then constructed a nomogram model to predict allergic rhinitis risk in those employees. Indoor air temperature, relative humidity, PM10 , PM2.5 , total bacteria, and total fungi were measured, and questionnaires were used to collect basic station information and employee health information. The results revealed that the over-standard rates of PM10 , PM2.5 , total bacteria, and total fungi were 18.16%, 31.13%, 2.22%, and 55.89%, respectively. Seasonal variations were found in temperature, relative humidity, and PM2.5 . Passenger flow could affect temperature, and total bacteria. Central air conditioning could affect total bacteria. A total of 15.90% of the employees were diagnosed as allergic rhinitis by physicians. Relative humidity, fungi, self-reported allergic rhinitis symptoms, and exposure to smoking were the influencing factors for allergic rhinitis. These four variables were incorporated to construct a nomogram. The concordance index of the nomogram was 0.775 (95% CI: 0.745-0.806) and 0.749 (95% CI: 0.715-0.783) for the training cohort and test cohort, respectively. The calibration plot revealed that the nomogram model exhibited good discrimination and consistency. This nomogram model may help predict the occurrence of allergic rhinitis.