Achievement of Guideline-Recommended Targets in Diabetes Care in China : A Nationwide Cross-Sectional Study.

BACKGROUND: Nationwide achievement of guideline-recommended diabetes care targets has not been comprehensively assessed in China. OBJECTIVE: To estimate the proportions of adults with diabetes achieving major clinical risk factor control, body mass index (BMI), lifestyle, and dietary targets specified in the Chinese diabetes guidelines. DESIGN: Nationwide cross-sectional survey. SETTING: China, 2015 to 2017. PARTICIPANTS: A national sample of 8401 adults with self-reported diabetes and a subset of 3531 with dietary data. MEASUREMENTS: The assessed targets included 1) ABC targets (individualized hemoglobin A1c [HbA1c] target; blood pressure [BP] <130/80 mm Hg; and low-density lipoprotein cholesterol [LDL-C] level <2.6 or <1.8 mmol/L [<100 or <70 mg/dL], depending on the presence of atherosclerotic cardiovascular disease), 2) BMI below 24 kg/m2, 3) lifestyle targets (not currently smoking or drinking, guideline-recommended leisure time activity level, and sleep duration of 7 to 8 hours), and 4) dietary targets (50% to 65% of energy from carbohydrate, 15% to 20% from protein, 20% to 30% from fat, ≥14 g of fiber per 1000 kcal, and <2000 mg of sodium per day). RESULTS: The proportion of adults with self-reported diabetes achieving each ABC target was 64.1% (95% CI, 61.4% to 66.8%) for HbA1c, 22.2% (CI, 20.2% to 24.1%) for BP, and 23.9% (CI, 21.9% to 25.9%) for LDL-C. The proportion achieving a BMI below 24 kg/m2 was 32.2% (CI, 30.3% to 34.2%). The proportion achieving each lifestyle target was 75.8% (CI, 73.9% to 77.7%) for smoking, 66.7% (CI, 64.4% to 69.1%) for drinking, 17.9% (CI, 15.8% to 20.1%) for leisure time activity, and 52.0% (CI, 49.6% to 54.3%) for sleep duration. The proportion achieving each dietary target was 39.1% (CI, 36.0% to 42.2%) for carbohydrate, 20.1% (CI, 16.9% to 23.3%) for protein, 20.5% (CI, 17.6% to 23.4%) for fat, 9.0% (CI, 7.0% to 10.9%) for sodium, and 2.5% (CI, 1.3% to 3.6%) for fiber. Only 4.4% (CI, 3.5% to 5.2%) of participants achieved all 3 ABC targets, 5.1% (CI, 4.3% to 6.0%) achieved all 4 lifestyle targets, and 4 participants achieved all 5 dietary targets. LIMITATIONS: Self-reported data and age of the data. CONCLUSION: Achievement of guideline-recommended diabetes care targets in Chinese adults with self-reported diabetes was exceedingly low. The findings highlight the need for immediate national health actions to improve diabetes care. PRIMARY FUNDING SOURCE: Shanghai Municipal Education Commission, National Key R&D Program of the People's Republic of China, and the National Health Commission of the People's Republic of China.

[Changes in mild cognitive impairment and sociodemographic disparity among adults aged 55 years and above in 4 provinces of China].

OBJECTIVE: To investigate the changes in mild cognitive impairment(MCI) and sociodemographic disparity among adults aged 55 years and above in 4 provinces of China. METHODS: A total of 4687 adults aged 55 years and above from Community-based Cohort Study on Nervous System Disease who did not have Alzheimer's disease, participated in both rounds of the survey, and had complete baseline sociodemographic data and two rounds of data on cognitive function were selected. Generalized estimation equations were used to analyse the effect of sociodemographic factors on MCI. RESULTS: The detection rates of MCI in adults aged 55 years and above without Alzheimer's disease in 4 provinces of China in 2018 and 2020 were 48.56% and 42.56% respectively. MCI occurred in 30.11% of those with normal cognition(NC) at baseline, and 44.24% of those with MCI at baseline reverted to NC. The risk of MCI increased and the likelihood of MCI reversion decreased with increasing age and decreasing per capita monthly household income. In the baseline NC population, the risk of MCI in the junior high school and above group was 35% lower than that in the illiterate group(RR=0.65, 95%CI 0.53-0.80), the risk of MCI was lower in those living in rural areas(RR=0.56, 95%CI 0.49-0.65), and the risk of MCI was 1.17 times(95%CI 1.03-1.32) higher in those with a history of chronic diseases than in those without it. In the baseline MCI population, the likelihood of MCI reversion increased with education, the likelihood of MCI reversion was 1.04 times higher for workers than for non-workers(95%CI 1.00-1.08). CONCLUSION: The incidence and reversal rates of MCI were high in adults aged ≥55 years in four provinces of China. Advanced age, low education and low income level are risk factors for cognitive dysfunction.

[Children's dietary patterns and dietary networks in five regions in China].

OBJECTIVE: To analyze the dietary patterns and dietary networks of children in China, explore regional differences in dietary habits in each region. METHODS: The subjects of the study were children aged 3-17(n=5824) in North Coast Economic Zone, Northeast, Central China, East Coast Economic Zone and Southwest Economic Zone who participated in the China Health and Nutrition Survey. The dietary pattern was obtained by factor analysis. Using mutual information, a measure to detect both linear and non-linear correlations between food groups constructed the dietary networks. RESULTS: Factor analysis resulted in five dietary patterns. Pattern 1 was related to high intakes of wheat and other cereals, pattern 2 was related to high intakes of fruits, milk, eggs and fast foods, pattern 3 was associated with high intakes of tubers, snacks, cakes, beverages and fast foods. The Northeast, Central China and North Coast Economic Zone regions had higher pattern 1 score. Pattern 2 scored higher for North Coast Economic Zone and East Coast Economic Zone regions. Pattern 3 scores in the Northeast region were higher than North Coast Economic Zone and East Coast Economic Zone regions. North Coast Economic Zone, Central China and Southwest Economic Zone regions had focused networks. The network of Northeast and East Coast Economic Zone regions were multiple. All regions were characterized by vegetables, or cereals as the hub. CONCLUSION: The dietary patterns and networks of children in the five regions of China exhibit regional differences.

[Epidemiological characteristics of cardio-metabolic risk factors in women aged 15-49 years in 4 provinces of China in 2018].

OBJECTIVE: To analyze the prevalence of cardio-metabolic(CM) risk in women aged 15-49 years in 4 provinces of China and the influence of socioeconomic factors on them. METHODS: A total of 2851 women aged 15-49 years from Community-based Cohort Study on Nervous System Disease in 2018 were selected. Obesity, central obesity, elevated triglyceride(TG), elevated total cholesterol(TC), decreased high-density lipoprotein cholesterol(HDL-C), elevated low-density lipoprotein cholesterol(LDL-C), elevated blood pressure, elevated blood glucose and risk factor aggregation were analyzed. χ~2 test was used for univariate analysis, multinomial Logit model was used to evaluate the relationship between socioeconomic factors and CM risk factors, and Cochran-Armitage trend test was used for trend analysis. RESULTS: The detection rate of CM risk factors in this study from high to low were central obesity(26.76%), overweight(22.41%), pre central obesity(17.47%), decreased HDL-C(15.36%), elevated TG(11.78%), borderline elevated TC(11.40%), borderline elevated TG(11.12%), elevated blood pressure(9.71%) and hypertension(9.12%). The prevalence rates of CM risk factors were different among different age groups, income groups and education levels(P<0.05). In addition to decreased HDL-C, the prevalence of other metabolic risk factors increased with age(P_(trend)<0.05). With the improvement of educational level, the prevalence rates of overweight, obesity, central obesity, central obesity, elevated TG, decreased HDL-C, elevated blood pressure, hypertension, elevated blood pressure and diabetes showed a downward trend(P_(trend)<0.05). Multinomial Logit model showed that the rick of metabolic risk factors in the age group of 40 to 49 years old was higher than that in the younger age group aged 15-29 years, and was more significant in hypertension, elevated blood pressure and elevated blood glucose, which were 8.51 times(95% CI 5.45-13.27), 3.14 times(95%CI 2.20-4.48)and 2.66(95% CI 1.52-4.66)times of the younger age group, respectively. Women with high-income level have a higher risk of borderline elevated TC, elevated TC and borderline elevated LDL-C(OR=1.85, 95% CI 1.44-2.38;OR=2.01, 95% CI 1.25-3.22;OR=2.16, 95% CI 1.61-2.90), but the lower risk of overweight and elevated blood pressure(OR=0.79, 95% CI 0.64-0.98;OR=0.69, 95% CI 0.50-0.94). The risk of obesity, hypertension and diabetes of people with college degree or above was about 50% lower than those with junior high school education or below(OR=0.52, 95% CI 0.35-0.78;OR=0.43, 95% CI 0.27-0.67; OR=0.52, 95% CI 0.28-0.96). CONCLUSION: Central obesity, overweight, pre central obesity and HDL-C decrease were prominent CM risk factors in women aged 15-49 years in four provinces of China in 2018. The detection rate of CM risk factors is higher in women of high age group or low education level.

Sodium content targets for pre-packaged foods, China: a quantitative study and proposal.

Objective: To determine the contribution of pre-packaged foods to population sodium intake in China, and to propose sodium content targets for food subcategories used for the World Health Organization's (WHO's) global sodium benchmarks. Methods: The impact of four different approaches to reducing the sodium content of pre-packaged foods on population sodium intake was estimated using data from national databases covering the nutrient content and ingredients of 51 803 food products and food consumption by 15 670 Chinese adults. We recategorized food products using a food categorization framework developed for WHO's global sodium benchmarks and adapted for China-specific foods. Findings: Pre-packaged foods, including condiments, contributed 1302.5 mg/day of sodium intake per adult in 2021, accounting for 30.1% of population sodium intake in China. Setting maximum sodium content levels using a 90th-percentile target would reduce sodium intake from pre-packaged foods by 96.2 mg/day, corresponding to a 1.9% reduction in population intake. Using the 75th-percentile, a fixed 20% reduction and WHO benchmark targets would further reduce intake by 262.0 mg/day (5.2% population intake), 302.8 mg/day (6.0% population intake) and 701.2 mg/day per person (13.9% population intake), respectively. Maximum sodium content levels based on revised 20% reduction targets were proposed because they should result in substantial and acceptable reductions in sodium content for most food subcategories: overall sodium intake would decline by 305.0 mg/day per person, and population intake by 6.1%. Conclusion: This study provides the scientific rationale for government policy on setting targets for food sodium content in China. Simultaneous action on discretionary salt use should also be taken.

National nutrition surveillance programmes in 18 countries in South-East Asia and Western Pacific Regions: a systematic scoping review.

Objective: To identify and analyse ongoing nutrition-related surveillance programmes led and/or funded by national authorities in countries in South-East Asian and Western Pacific Regions. Methods: We systematically searched for publications in PubMed® and Scopus, manually searched the grey literature and consulted with national health and nutrition officials, with no restrictions on publication type or language. We included low- and middle-income countries in the World Health Organization South-East Asia Region, and the Association of Southeast Asian Nations and China. We analysed the included programmes by adapting the United States Centers for Disease Control and Prevention's public health surveillance evaluation framework. Findings: We identified 82 surveillance programmes in 18 countries that repeatedly collect, analyse and disseminate data on nutrition and/or related indicators. Seventeen countries implemented a national periodic survey that exclusively collects nutrition-outcome indicators, often alongside internationally linked survey programmes. Coverage of different subpopulations and monitoring frequency vary substantially across countries. We found limited integration of food environment and wider food system indicators in these programmes, and no programmes specifically monitor nutrition-sensitive data across the food system. There is also limited nutrition-related surveillance of people living in urban deprived areas. Most surveillance programmes are digitized, use measures to ensure high data quality and report evidence of flexibility; however, many are inconsistently implemented and rely on external agencies' financial support. Conclusion: Efforts to improve the time efficiency, scope and stability of national nutrition surveillance, and integration with other sectoral data, should be encouraged and supported to allow systemic monitoring and evaluation of malnutrition interventions in these countries.

[Cardiovascular health status and related factors among adults aged 20-59 in 15 provinces of China in 2018].

OBJECTIVE: To evaluate the cardiovascular health status of Chinese adults and explore the related influencing factors. METHODS: Adults aged 20-59 from the China Health and Nutrition Survey covering 15 provinces and cities in 2018 were selected as the study subjects. The average score of 8 health factors was calculated using the definition of the "Life's Essential 8" for cardiovascular health released by the American Heart Association in 2022. Cardiovascular health was classified according to the score. Multinomial logit model was used to analyze the impact of demographic characteristics on cardiovascular health. RESULTS: A total of 5977 subjects were included in this study. The total score of cardiovascular health was 73.62. The single factor analysis showed that sleep and physical activity scored higher(91.69 and 87.39, respectively), while blood pressure and diet scored lower(58.88 and 44.16, respectively). Clustering analysis found that only 0.45% of the people with full score of all eight indicators, The average number of full score indicators was 4.22, and the full score indicators were more among 20-44, female, college or above, and urban residents. In addition, the number of people with high, moderate and poor cardiovascular health status were 35.70%, 59.58% and 4.72%, respectively. Multinomial logit analysis showed that compared with low cardiovascular health status, the people with high in 45-59 were 66%(95% CI 0.25-0.45) lower than those in 20-44. Women with moderate and high were 9.93(95%CI 6.44-15.33) and 41.82(95% CI 26.87-65.08) times higher than men, respectively. The moderate cardiovascular health of the people with middle income was 1.47(95% CI 1.07-2.01) times higher than those with low income. People in the south with moderate and high were 31%(95% CI 0.53-0.91) and 38%(95% CI 0.46-0.82) lower than those in the north, respectively. CONCLUSION: Adults in our country were in the moderate cardiovascular health. People aged 20-44, female, people with higher income and living in the north had better cardiovascular health.

[Accuracy verification of diet recording tool based on WeChat applet].

OBJECTIVE: To explore the accuracy of a dietary recording tool based on the mobile phone WeChat applet-"Zhishi AI Dietitian" applied to dietary records. METHODS: The research subjects were 109 full-time undergraduates from Zhejiang University. Respondents completed one round of dietary records of "Zhishi AI Dietitian" for three non-consecutive days and one round of non-consecutive three-day 24-hour dietary review method records. The two method must overlap for one day. The energy, nutrients and various food intake data obtained from the Zhishi AI nutritionist survey were sorted and compared with the corresponding survey result of the 24-hour dietary review method. Pearson correlation coefficient or Spearman correlation coefficient was used for correlation analysis, intra-group correlation coefficient was used for reliability analysis, and Bland-Atlman scatter plot was used for consistency analysis. RESULTS: In terms of reliability, the two method had certain reliability in assessing intake of various foods, energy and nutrients. After energy correction, the reliability of nutrient intake was enhanced. In terms of correlation, the correlation coefficients of food groups ranged from 0.34 to 0.79(mean 0.60), and the energy and nutrient correlation coefficients ranged from 0.34 to 0.72(mean 0.55). In terms of consistency, the proportion of research subjects outside the 95% consistency interval is less than 10%, indicating that the two have good consistency. CONCLUSION: Zhishi AI Dietitian applied to college students' dietary records has good accuracy.

[Cost-benefit analysis on the intervention of application iron-fortified soy sauce for anemia in Deqing 15-54 years women, Zhejiang].

OBJECTIVE: To make a cost-benefit analysis on anemia intervention with iron-fortified soy sauce in 15-54 years old women. METHODS: The study was conducted in Deqing county, Zhejiang province in 2012-2013. A total 585 women as sampling size were estimated with statistical model and randomly selected by probability proportionate to size sampling. Hemoglobin were measured before intervention and after 15 months. The cost of the intervention project were collected with manpower, communication and other invest. The benefit was estimated with profiling model. RESULTS: After the intervention, the anemia prevalence of sampled women decreased from 31.1% to 21.9%(P<0.01). The major cost of the project was 156 400 RMB, and total benefits result ing from projects were 1 448 485 RMB. The cost-benefit ratio of the project is 1∶9.49. If investing one yuan can produce economic benefits of nearly 9.49 yuan, therefore, the intervention projectis worth to be scaling up. Sensitivity analysis showed the result of this study was stable. CONCLUSION: The intervention can significantly reduce the prevalence of anemia in women, and reduce the economic burden of the diseases. .

[Analysis of differentiated regional dietary structures of adults aged 18-64 years in 15 provinces (autonomous regions, municipalities) of China in 2018].

OBJECTIVE: To analyze the status of energy and macronutrient intake among adults aged 18 to 64 years old in 15 provinces(autonomous regions and municipalities) of China. METHODS: A sample of 9481 adults aged 18-64 years from the data of the China Health and Nutrition Survey in 2018 was analyzed. Three consecutive days of 24 h recalls combined with the weighing of household seasonings were used to collect information on food intake and condiment intake. Food consumption was converted into energy and various nutrient intakes by the China Food Composition Table. RESULTS: The median daily intakes of energy were 1942.28 kcal and 1951.14 kcal in urban and rural areas, 1796.94 kcal, 1972.89 kcal, 1989.61 kcal and 1908.98 kcal in northwest, southwest, southeast and northern regions, respectively. The energy supply ratio of protein and fat were 13.61% and 35.85%, respectively, higher than 12.31% and 34.45% in rural areas, while the energy supply ratio of carbohydrates in urban(49.62%) was lower than that in rural areas(52.18%). The energy supply ratios of fat in the southwest and southeast regions were 38.90% and 36.80%, respectively, while the energy supply ratios of carbohydrates were 47.70% and 47.93%. The main food sources of energy, protein, and fat are different in different regions. The percentage of energy, protein, and fat from animal foods decreased with increasing age groups. The adults with low-income levels had a high intake of carbohydrates but a low intake of protein, and the adults with high-income levels had high proportions of energy, protein and fat from animal food sources. CONCLUSION: The total energy intakes of residents in different regions are relatively ideal, but the dietary structures are still unreasonable, and the energy supply ratios of fat are relatively high, especially in the southwest and southeast regions. The intake and food sources of the three macronutrients are varied in different regions and urban and rural areas. Age and income level affect the food choices of residents.