Objective: To assess the prevalence of metabolic syndrome (MetS) in Chinese adults living in Ningbo and to examine the association between alcohol consumption and MetS and its medical components.Design: A representative survey in Ningbo was conducted in 2015 covering socio-demography. A FFQ together with additional questionnaires was used to collect information on alcohol consumption, diet, demography, lifestyle and medical information. Multivariable logistic regression and generalised linear models were used to examine the association between alcohol consumption and both MetS and its medical components, respectively.Setting: Ningbo, China.Participants: A total of 2853 adults ≥ 20 years (44 % men) in this final analysis.Results: The prevalence of frequent alcohol drinkers and MetS was 29·9 % and 28·0 %, respectively. Significantly higher prevalence of MetS and mean values of medical components were found in the group of frequent alcohol drinkers with an exception for HDL-cholesterol, compared with less or non-alcohol drinkers. Frequent alcohol consumption was associated with higher odds of developing MetS and positively associated with medical components excepting waist circumference.Conclusions: Frequent alcohol consumption contributed to a higher prevalence of MetS and unfavourable influence on MetS and its medical components among Chinese adults. A public health intervention on alcohol restriction is necessary for the prevention and control of the ongoing epidemic MetS.

Objective: We estimated the relationship between dietary behaviors and sleep quality in adults. Methods: Using data from the 2015 Ningbo Adult Chronic Diseases and Risk Factors Survey, a total of 5160 participants were included in this study. Sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI). PSQI score ≥ 7 was defined as poor sleep quality. Logistic regression was used to estimate the associations between dietary behaviors and sleep quality. Linear regression was used to explore the associations between dietary behaviors and PSQI total score. Results: Approximately 8.6% (n = 442) participants reported poor sleep quality. After adjusted for multivariates, there was 0.022 point increase in PSQI score for every gram increase in each meal consumption of soy sauce (β = 0.022, p = 0.001). Less intake of dark fruits, water and more intake of alcohol were associated with higher PSQI score (β = −0.394, p = 0.001; β = −0.246, p = 0.001; and β = 0.217, p = 0.005, respectively). Conclusions: About 8.6% (n = 442) adults reported poor sleep quality in Ningbo. Intake of soy sauce and alcohol were positively associated with poor sleep quality, and consumption of dark fruits and water were positively associated with good sleep quality.

Background: Noncommunicable diseases (NCDs) have become the main public health concern worldwide. With rapid economic development and changes in lifestyles, the burden of NCDs in China is increasing dramatically every year. Monitoring is a critical measure for NCDs control and prevention. However, because of the lack of regional representativeness, unsatisfactory data quality, and inefficient data sharing and utilization, the existing surveillance systems and surveys in China cannot track the status and transition of NCDs epidemic. Objective: To efficaciously track NCDs epidemic in China, this pilot program conducted in Ningbo city by the Chinese Center for Disease Control and Prevention (CDC) aimed to develop an innovative model for NCDs surveillance and management: the integrated noncommunicable disease collaborative management system (NCDCMS). Methods: This Ningbo model was designed and developed through a 3-level (county/district, municipal, and provincial levels) direct reporting system based on the regional health information platform. The uniform data standards and interface specifications were established to connect different platforms and conduct data exchanges. The performance of the system was evaluated based on the 9 attributes of surveillance system evaluation framework recommended by the US CDC. Results: NCDCMS allows automatic NCDs data exchanging and sharing via a 3-level public health data exchange platform in China. It currently covers 201 medical institutions throughout the city. Compared with previous systems, automatic popping up of the report card, automatic patient information extraction, and real-time data exchange process have highly improved the simplicity and timeliness of the system. The data quality meets the requirements to monitor the incidence trend of NCDs accurately, and the comprehensive data types obtained from the database (ie, directly from the 3-level platform on the data warehouse) also provide a useful information to conduct scientific studies. So far, 98.1% (201/205) of medical institutions across Ningbo having been involved in data exchanges with the model. Evaluations of the system performance showed that NCDCMS has high levels of simplicity, data quality, acceptability, representativeness, and timeliness. Conclusions: NCDCMS completely reshaped the process of NCD surveillance reporting and had unique advantages, which include reducing the work burden of different stakeholders by data sharing and exchange, eliminating unnecessary redundancies, reducing the amount of underreporting, and structuring population-based cohorts. The Ningbo model will be gradually promoted elsewhere following this success of the pilot project, and is expected to be a milestone in NCDs surveillance, control, and prevention in China.

Background: Since 2015, the Global Burden of Disease Study (GBD) has measured progress in achieving health-related Sustainable Development Goals (SDGs) annually worldwide. Little is known about the status and attainment of indicators of non-communicable diseases (NCDs) by 65 countries from the Belt and Road Initiative (BRI) proposed by China in 2013. Methods: Data from GBDs were used to estimate 24 NCD-related SDG indicators in BRI countries from 1990 to 2017. Each indicator was scored from 0 to 100 to compare multiple indicators over the study period. The natural log of the annual change in each location and year and weighted annual rates of change were used to generate projections for 2030. National-level estimates were determined by socio-demographic index (SDI) quintiles in BRI countries with more than 1 million inhabitants. Results: In 2017, the median overall score of NCD-related SDG index for the 66 BRI countries was 60 points, ranging from 29 points in Afghanistan to 84 points in Israel. More than 80% of countries achieved the SDG 2030 maternal mortality (MM) rate target in 2017, and the national skilled birth attendance rate was above 99% in more than 59% countries. However, none of the BRI countries achieved the goal for children’s overweight, modern methods of contraception, and universal health coverage. It was predicted that 80.4% of NCD-related SDG targets would be achieved in these countries by 2030. The overall score of NCD-related SDG index were positively associated with SDI quintiles. Conclusion: For many indicators, the achieved progress in many countries is less than the annual rate necessary to meet SDG targets, indicating that substantial efforts need to be made in the coming years. Progress should be accelerated through collaborations between countries, implementation of NCD prevention and control strategies, and monitoring of inequalities in NCD-related SDGs within populations.