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Liu A, Ding C, Qiu Y, Yuan F, Wang Q, Hong H, Shan F, Feng J, Song C, Zhou Y. [Age distribution of nutrition and health knowledge among Chinese adults in 2021]. Wei Sheng Yan Jiu 2022; 51:876-880. [PMID: 36539861 DOI: 10.19813/j.cnki.weishengyanjiu.2022.06.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
OBJECTIVE To analyze the age distribution of nutrition and health knowledge level of Chinese residents aged 18-64. METHODS A total of 102 398 residents aged 18-64 were selected from 302 survey sites in China by multi-stage cluster random sampling method, a total of 98 567 respondents were included in the study. Both mean and rate were calculated by complex sampling weighting. RESULTS The nutrition and health knowledge score of residents aged 18-24, 25-34, 35-44, 45-54 and 55-64 years old in China were(65.1±11.4) points, (64.6±11.7) points, (64.7±12.0) points, (62.2±12.8) points and(59.5±13.3) points. The nutrition and health knowledge awareness rates were 20.3%, 19.1%, 20.3%, 16.9% and 12.1%, respectively(P<0.001). A decreasing trend in all dimensions and overall nutrition and health knowledge with increasing age was found(β<0, P_(trend)<0.001). This trend was also reflected across gender or regions. While the trend of nutrition and health knowledge level with age varies with different literacy levels. Differences in knowledge points with positive response rates <30% by age groups. CONCLUSION The level of nutrition and health knowledge among Chinese adult residents of all ages is relatively low in 2021, but the knowledge shortcomings are different.
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Affiliation(s)
- Ailing Liu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Caicui Ding
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yujie Qiu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Fan Yuan
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Qiannan Wang
- Chinese Association for Student Nutrition and Health Promotion, Beijing 100050, China
| | - Huiru Hong
- Nan'an Maternal and Child Health Hospital, Quanzhou 362300, China
| | - Fangling Shan
- Enshi Center for Disease Control and Prevention, Enshi 445000, China
| | - Jingwen Feng
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Chao Song
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Ying Zhou
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Qiu Y, Ding C, Zhang Y, Yuan F, Zhao B, Hao L, Gong W, Feng J, Chen Z, Liu A. [Geographical distribution differences of nutrition and health knowledge among Chinese adults in 2021]. Wei Sheng Yan Jiu 2022; 51:881-885. [PMID: 36539862 DOI: 10.19813/j.cnki.weishengyanjiu.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
OBJECTIVE To explore the geographical distribution of nutrition and health knowledge among 18-64 years old adults in China. METHODS A total of 102 398 residents aged 18-64 from 302 survey sites were selected by multi-stage cluster random sampling method, a total of 98 567 respondents were included in the study. Both mean and rate were calculated by complex sampling weighting. RESULTS The nutrition and health knowledge score in eastern region(65.5±12.0) was higher than that in central(62.4±11.9) and western(61.4±12.9), and the score in northern region(63.9±11.8) was higher than that in southern(63.1±12.8). In the seven geographical regions, the highest score was in north(65.8±11.4), and the lowest score was in northwest(61.6±12.2). The awareness rate of nutrition and health in eastern region(22.4%) was higher than that in central(14.7%) and western(14.9%), the highest awareness rate among the seven geographic regions was in east(23.2%), followed by north(22.5%) and the lowest was in northwest(13.2%). There were also differences in nutritional health knowledge levels of residents in different regions in the five dimensions(P<0.001). Northwest China had the lowest awareness of food characteristics and nutrition and disease dimensions, South China had the lowest awareness of dietary recommendations and food choices dimensions, and Southwest China had the lowest awareness of food safety dimensions. CONCLUSION The level of nutrition and health knowledge of Chinese adults have large geographical differences.
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Affiliation(s)
- Yujie Qiu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Caicui Ding
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yan Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Fan Yuan
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Boya Zhao
- Institute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100086, China
| | - Lixin Hao
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Weiyan Gong
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Jingwen Feng
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Zheng Chen
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Ailing Liu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Yan J, Zhang J, Jiang Y, Yu L. [Sleep conditions of adult residents in Shandong Province from 2010 to 2012]. Wei Sheng Yan Jiu 2019; 48:884-887. [PMID: 31875809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To understand the sleep conditions of adults in Shandong Province. METHODS From 2010 to 2012, 10 201 residents aged ≥6 years old were selected from 7 counties and cities in Shandong Province by multi-stage stratified cluster sampling method in proportion to the population. A face-to-face interview was conducted with a questionnaire uniformly formulated by "China National Nutrition and Health Surveillance"to investigate and analyze the sleep status of residents aged 18 years and above. RESULTS A total of 6626 people over the age of 18 were investigated. The average daily sleep was(7. 84±1. 29) h. There was no significant difference between male((7. 80 ± 1. 07) h) and female((7. 86 ± 1. 18) h). However, there was significant difference between males((7. 87±1. 17) h) and females((8. 01±1. 27) h) in rural areas(t = 3. 08, P < 0. 01). There was significant difference in different regions(big cities(7. 62± 1. 17) h, small and medium-sized cities(7. 85 ± 0. 89) h, rural areas(7. 95 ±1. 23) h, F = 39. 733, P<0. 001) and in different age groups(18-44 years old(7. 97±0. 98) h, 45-49 years old(7. 80±1. 07) h, 60 years old and above(7. 74±1. 33) h, F =21. 642, P<0. 001), the average daily sleep time was decreased with increasing age. The insufficient sleep rate was 9. 8%, there was no significant different between male(9. 5%)and female(10. 1%). There was significant difference in different regions(big cities15. 3%, small and medium-sized cities 5. 2%, rural areas 9. 7%, χ~2= 105. 870, P <0. 001) and in different age groups(18-44 years old 5. 1%, 45-59 years old 9. 7%, 60 years old and above 15. 3%, χ~2= 114. 308, P < 0. 001). Big cities had the higher insufficient sleep rate than medium-sized cities and rural areas, The insufficient sleep rate showed an upward trend with the increase of age. The proportion of excessive sleep was9. 3%. The difference between male(8. 4%) and female(10. 0%) was statistically significant(t = 2. 11, P < 0. 05). There were statistically significant differences in different regions(7. 0% in large cities, 6. 0% in medium and small cities, 12. 8% in rural areas, χ~2= 77. 156, P< 0. 01) and different, age groups(6. 7% in 18-44 years old, 6. 1% in 45-59 years old, 16. 8% in 60 years old and above, χ~2= 175. 556, P <0. 01). The rate of excessive sleep in rural areas was higher than that in cities, and the rate of excessive sleep in the 45-59 age group was the highest. CONCLUSION Insufficient sleep is common in adult residents in Shandong Province. The insufficient sleep is more significant among elderly population and residents of big cities. The problem of excessive sleep also exists.
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Affiliation(s)
- Jingyi Yan
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - Junli Zhang
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - Ying Jiang
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
| | - Lianlong Yu
- Shandong Center for Disease Control and Prevention, Jinan 250014, China
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Hunduma G, Girma M, Digaffe T, Weldegebreal F, Tola A. Prevalence and determinants of common mental illness among adult residents of Harari Regional State, Eastern Ethiopia. Pan Afr Med J 2017; 28:262. [PMID: 29881505 PMCID: PMC5989183 DOI: 10.11604/pamj.2017.28.262.12508] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 06/18/2017] [Indexed: 11/11/2022] Open
Abstract
INTRODUCTION Common mental disorders include depression, anxiety and somatoform disorders are a public health problem in developed as well as developing countries. It represents a psychiatric morbidity with significant prevalence, affecting all stages of life and cause suffering to the individuals, their family and communities. Despite this fact, little information about the prevalence of common mental illness is available from low and middle-income countries including Ethiopia. The aim of this study was to determine the magnitude of common mental disorders and its associated factors among adult residents of Harari Region. METHODS Comparative cross-sectional, quantitative community-based survey was conducted From February 1, 2016 to March 30, 2016 in Harari Regional State using multi-stage sampling technique. A total of 968 residents was selected using two stage sampling technique. Of this 901 were participated in the study. Validated and Pretested Self reported questionnaire (SQR_20) was used to determine the maginitude of common mental disorders. Data was entered and analyzed using Epi-info version 3.5.1 and SPSS-17 for windows statistical packages. Univirate, Bi-variate and multivariate logistic regression analysis with 95% CI was employed in order to infer associations. RESULTS The prevalence of common mental illnesses among adults in our study area was 14.9%. The most common neurotic symptoms in this study were often head ache (23.2%), sleep badly (16%) and poor appetite (13.8%). Substance use like Khat chewing (48.2%), tobacco use (38.2%) and alcohol use (10.5%) was highly prevalent health problem among study participant. In multivariate logistic regression analysis, respondents age between 25-34 years, 35-44 years, 45-54 years and above 55years were 6.4 times (AOR 6.377; 95% CI: 2.280-17.835), 5.9 times (AOR 5.900; 95% CI: 2.243-14.859), 5.6 times (AOR 5.648; 95% CI: 2.200-14.50) and 4.1 times (AOR 4.110; 95% CI: 1.363-12.393) more likely having common mental illnesses than those age between 15-24 years, respectively. The occurrence of common mental illness was twice (AOR: 2.162; 95% CI 1.254-3.728) higher among respondents earn less than the average monthly income than those earn more than average monthly income. The odds of developing common mental illnesses were 6.6 times (AOR 6.653; 95% CI: 1.640-6.992) higher among adults with medically confirmed physical disability than those without physical disability. Similarly, adults who chewed Khat were 2.3 times (AOR 2.305; 95% CI: 1.484-3.579) more likely having common mental illnesses than those who did not chew Khat. Adults with emotional stress were twice (AOR 2.063; 95% CI: 1.176-3.619) higher chance to have common mental illnesses than adults without emotional stress. CONCLUSION This study had reveals that common mental disorders are major public health problems. Advancing age, low average family monthly income, Khat chewing and emotional stress were independent predictors of common mental illnesses. Whereas sex, place of residence, educational status, marital status, occupation, family size, financial stress, taking alcohol, tobacco use and family history of mental illnesses were not statistically associated with common mental illnesses.
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Affiliation(s)
- Gari Hunduma
- Haramaya University, College of Health and Medical Sciences, School of Nursing and Midwifery, Harar, Ethiopia
| | - Mulugeta Girma
- Haramaya University, College of Health and Medical Sciences, School of Nursing and Midwifery, Harar, Ethiopia
| | - Tesfaye Digaffe
- Haramaya University, College of Health and Medical Sciences, Department of Medical Laboratory Science, Harar, Ethiopia
| | - Fitsum Weldegebreal
- Haramaya University, College of Health and Medical Sciences, Department of Medical Laboratory Science, Harar, Ethiopia
| | - Assefa Tola
- Harar Health Sciences College, Harar, Ethiopia
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Chen X, Zhao L, Gao Y, Zhang Y, Yu J, Li L. [Health knowledge awareness in Guangzhou adult residents based on latent profile model]. Wei Sheng Yan Jiu 2017; 46:930-934. [PMID: 29903202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
OBJECTIVE To explore the application of latent profile model in classification of health knowledge awareness in Guangzhou residents, and identify the characteristics of the heterogeneous population from multi dimensions. METHODS By stratified cluster sampling, health knowledge and health behavior among 1179 residents in Guangzhou City were investigated. Latent profile model was used to population classification based on health knowledge scores, and compared with traditional clustering method, the demographic and health behaviors with different levels of health knowledge were analyzed. RESULTS Community residents were divided into three classes of health knowledge awareness model crowd by latent profile model, which accounted for 62. 2%, 27. 4% and 10. 4%, respectively, was superior to the traditional cluster method. Therewere significant differences in the demographic characteristics of different health knowledge subgroups, people who is younger, low education, manual worker with weak health knowledge. And the result showed that the higher level of health knowledge awareness with the better health behavior. CONCLUSION The application of latent profile model is extended to the field of health education. It can identify the heterogeneous subgroups of different health knowledge awareness effectively, which can indicate the key of health education programmes.
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Affiliation(s)
- Xiaona Chen
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510000, China
| | - Li Zhao
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510000, China
| | - Yanhui Gao
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510000, China
| | - Ying Zhang
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510000, China
| | - Jiahong Yu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510000, China
| | - Lixia Li
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510000, China
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Wang Y, Jia X, Du W, Wang Z, Wang H, Zhang B. [Dairy consumption characteristics among Chinese adult residents from 1989 to 2011]. Wei Sheng Yan Jiu 2017; 46:409-433. [PMID: 29903251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
OBJECTIVE To understand dairy consumption characteristics among adult residents in nine provinces of China. METHODS Using the 9 rounds data from the "China health and nutrition survey "( CHNS) on the subjects aged 18 to 59 years old with complete 24-hour-dietary for 3 days, analyze dairy consumption rate, average dairy intake and variation characteristics, and compare with the Chinese residents ' dietary guidelines recommended. RESULTS There were increasing trends of dairy consumption rate and average daily intake among adult residents from 1989-2011, in which dairy consumption rate rose from 1. 45% in 1989 g/d to 16. 84% in 2011. The average dairy intake rose from 2. 06 g/d in 1989 to 26. 47 in 2011. The rate of the average dairy intake more than300 g/d( the recommended dairy intake of the dietary guidelines for Chinese people) rose from 0. 12% in 1989 to 1. 13% in 2011. CONCLUSION The condition of dairy consumption among Chinese adult residents was improved significantly, but there was still huge gap with the 300 g/d proposed by the Chinese residents' dietary guidelines.
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Affiliation(s)
- Yun Wang
- National Institute of Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Xiaofang Jia
- National Institute of Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Wenwen Du
- National Institute of Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Zhihong Wang
- National Institute of Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Huijun Wang
- National Institute of Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Bing Zhang
- National Institute of Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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