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PURPOSE: China is facing various societal pressures owing to its rapidly aging population. In order to provide evidence-based suggestions to promote elderly care, this study investigated the community-based elderly care centres (CBECCs) in Chongqing of China, focusing on the site selections, physical environment, facilities, and operation. METHODS: All CBECCs in a district of Chongqing were analysed via a single-stage cluster sampling survey design. Descriptive statistics were used to analyse the data. RESULTS: A total of 69 CBECCs (60 government-run and 9 collective-run centres) were identified and analysed. Most site selections were reasonable. CBECCs that were located inside of apartment complexes with entrance guards, not located on main roads, and near a market were more popular. Only 4 (13.3%) CBECCs that were not located on the ground floor were equipped with elevators. A small number of CBECCs were near a noise pollution (10.1%) or far from a medical institution (11.6%). Nearly half (42.7%) of CBECCs only had an indoor area of <200 m2. Nearly all CBECCs had sufficient ventilation, natural lighting, and sufficient floor-to-floor height. 51.5% and 88.4% of the CBECCs fully met the criteria of 'four rooms and one canteen' and 'eight functional zones', but no significant difference was found in terms of the number of people served per month between the CBECCs that met the criteria and those that did not. A quarter of the CBECCs were operated by part-time staff. Only half provided home services (54.5%). The median of average number of people they served every month was 100 (interquartile range = 10–300). CONCLUSION: Certain problems existed in the current CBECCs. Better elderly care especially calls for adequate elevator establishment, sufficient indoor and outdoor space, appropriate facilities and service, qualified managers and caregivers. A feasible and evidence-based plan to optimize the physical environment and facilities, functional layout and service provision is crucial to improve the CBECC service.

Ziyi Yang,1 Yi Jiang,2– 4 Min Wang,5 Huan Zeng2– 4 1The First Clinical College, Chongqing Medical University, Chongqing, People's Republic of China; 2School of Public Health and Management, Chongqing Medical University, Chongqing, People's Republic of China; 3Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing, People's Republic of China; 4Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, People's Republic of China; 5North Sichuan Medical College, Nanchong, Sichuan, People's Republic of ChinaCorrespondence: Huan ZengPostal Address: School of Public Health and Management, Chongqing Medical University, 1 Yixueyuan Road, Yuzhong District, Chongqing 400016, People's Republic of ChinaTel/Fax + 86 23 65714388Email huanzeng@cqmu.edu.cnPurpose: China is facing various societal pressures owing to its rapidly aging population. In order to provide evidence-based suggestions to promote elderly care, this study investigated the community-based elderly care centres (CBECCs) in Chongqing of China, focusing on the site selections, physical environment, facilities, and operation.Methods: All CBECCs in a district of Chongqing were analysed via a single-stage cluster sampling survey design. Descriptive statistics were used to analyse the data.Results: A total of 69 CBECCs (60 government-run and 9 collective-run centres) were identified and analysed. Most site selections were reasonable. CBECCs that were located inside of apartment complexes with entrance guards, not located on main roads, and near a market were more popular. Only 4 (13.3%) CBECCs that were not located on the ground floor were equipped with elevators. A small number of CBECCs were near a noise pollution (10.1%) or far from a medical institution (11.6%). Nearly half (42.7%) of CBECCs only had an indoor area of < 200 m2. Nearly all CBECCs had sufficient ventilation, natural lighting, and sufficient floor-to-floor height. 51.5% and 88.4% of the CBECCs fully met the criteria of 'four rooms and one canteen' and 'eight functional zones', but no significant difference was found in terms of the number of people served per month between the CBECCs that met the criteria and those that did not. A quarter of the CBECCs were operated by part-time staff. Only half provided home services (54.5%). The median of average number of people they served every month was 100 (interquartile range = 10– 300).Conclusion: Certain problems existed in the current CBECCs. Better elderly care especially calls for adequate elevator establishment, sufficient indoor and outdoor space, appropriate facilities and service, qualified managers and caregivers. A feasible and evidence-based plan to optimize the physical environment and facilities, functional layout and service provision is crucial to improve the CBECC service.Keywords: community-based elderly care centre, site selection, physical environment, facilities, cross-sectional survey, China

Background: The gut microbiota plays important roles in modulating host metabolism. Previous studies have demonstrated differences in the gut microbiome of T2D and prediabetic individuals compared to healthy individuals, with distinct disease-related microbial profiles being reported in groups of different age and ethnicity. However, confounding factors such as anti-diabetic medication hamper identification of the gut microbial changes in disease development. Method: We used a combination of in-depth metagenomics and metaproteomics analyses of faecal samples from treatment-naïve type 2 diabetic (TN-T2D, n = 77), pre-diabetic (Pre-DM, n = 80), and normal glucose tolerant (NGT, n = 97) individuals to investigate compositional and functional changes of the gut microbiota and the faecal content of microbial and host proteins in Pre-DM and treatment-naïve T2D individuals to elucidate possible host-microbial interplays characterizing different disease stages. Findings: We observed distinct differences characterizing the gut microbiota of these three groups and validated several key features in an independent TN-T2D cohort. We also demonstrated that the content of several human antimicrobial peptides and pancreatic enzymes differed in faecal samples between three groups. Interpretation: Our findings suggest a complex, disease stage-dependent interplay between the gut microbiota and the host and point to the value of metaproteomics to gain further insight into interplays between the gut microbiota and the host. Fund: The study was supported by the National Natural Science Foundation of China (No. 31601073), the National Key Research and Development Program of China (No. 2017YFC0909703) and the Shenzhen Municipal Government of China (No. JCYJ20170817145809215). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

BACKGROUND: The gut microbiota plays important roles in modulating host metabolism. Previous studies have demonstrated differences in the gut microbiome of T2D and prediabetic individuals compared to healthy individuals, with distinct disease-related microbial profiles being reported in groups of different age and ethnicity. However, confounding factors such as anti-diabetic medication hamper identification of the gut microbial changes in disease development. METHOD: We used a combination of in-depth metagenomics and metaproteomics analyses of faecal samples from treatment-naïve type 2 diabetic (TN-T2D, n = 77), pre-diabetic (Pre-DM, n = 80), and normal glucose tolerant (NGT, n = 97) individuals to investigate compositional and functional changes of the gut microbiota and the faecal content of microbial and host proteins in Pre-DM and treatment-naïve T2D individuals to elucidate possible host-microbial interplays characterizing different disease stages. FINDINGS: We observed distinct differences characterizing the gut microbiota of these three groups and validated several key features in an independent TN-T2D cohort. We also demonstrated that the content of several human antimicrobial peptides and pancreatic enzymes differed in faecal samples between three groups. INTERPRETATION: Our findings suggest a complex, disease stage-dependent interplay between the gut microbiota and the host and point to the value of metaproteomics to gain further insight into interplays between the gut microbiota and the host. FUND: The study was supported by the National Natural Science Foundation of China (No. 31601073), the National Key Research and Development Program of China (No. 2017YFC0909703) and the Shenzhen Municipal Government of China (No. JCYJ20170817145809215). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

The gut microbiota plays important roles in modulating host metabolism. Previous studies have demonstrated differences in the gut microbiome of T2D and prediabetic individuals compared to healthy individuals, with distinct disease-related microbial profiles being reported in groups of different age and ethnicity. However, confounding factors such as anti-diabetic medication hamper identification of the gut microbial changes in disease development. We used a combination of in-depth metagenomics and metaproteomics analyses of faecal samples from treatment-naïve type 2 diabetic (TN-T2D, n = 77), pre-diabetic (Pre-DM, n = 80), and normal glucose tolerant (NGT, n = 97) individuals to investigate compositional and functional changes of the gut microbiota and the faecal content of microbial and host proteins in Pre-DM and treatment-naïve T2D individuals to elucidate possible host-microbial interplays characterizing different disease stages. We observed distinct differences characterizing the gut microbiota of these three groups and validated several key features in an independent TN-T2D cohort. We also demonstrated that the content of several human antimicrobial peptides and pancreatic enzymes differed in faecal samples between three groups. Our findings suggest a complex, disease stage-dependent interplay between the gut microbiota and the host and point to the value of metaproteomics to gain further insight into interplays between the gut microbiota and the host. FUND: The study was supported by the National Natural Science Foundation of China (No. 31601073), the National Key Research and Development Program of China (No. 2017YFC0909703) and the Shenzhen Municipal Government of China (No. JCYJ20170817145809215). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.