| Literature DB >> 36249194 |
Bin Cui1,2,3, Linda Dong-Ling Wang4,5, Fu Rong Wang6, Jing Peng7, Jian Ying Ma6, Xiang Chen2,3, Mei Yin Xu1, Jun Ke1, Yi Tian1.
Abstract
Knowledge of adequate diets can improve an individual's health status. Although previous studies have identified the main resources from which Chinese people acquire dietary knowledge, it is still unclear whether information sources regarding diets (ISRDs) can increase individuals' knowledge of adequate diets (KAD) and which ISRDs are most effective in conveying KAD to the Chinese population. In this study, we interviewed 4,710 residents in Eastern China regarding their ISRDs and KAD. Descriptive statistics, ANOVA, and multivariate linear regression were used to analyze the effectiveness of different ISRDs in transmitting KAD to Chinese individuals and to determine the relationship between ISRDs and KAD. Results showed that the KAD scores of the respondents were low overall in Eastern China. Providing dietary information through expert lectures, books, newspapers, magazines, and social media could significantly improve the average KAD score of Chinese individuals. Respondents with a greater number of ISRDs were more likely to have higher KAD scores. These findings suggest that the number of ISRDs should be increased. In particular, emphasis should be placed on the role of expert lectures, books, newspapers, magazines, and social media.Entities:
Keywords: Eastern China; adequate diets; dietary; information sources; knowledge
Mesh:
Year: 2022 PMID: 36249194 PMCID: PMC9554651 DOI: 10.3389/fpubh.2022.955766
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Respondent characteristics (N = 4,710).
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| Male | 2,049 | 43.5 |
| Female | 2,661 | 56.5 |
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| ≤ 20 years | 885 | 18.8 |
| 21–35 | 1,293 | 27.5 |
| 36–45 | 1,327 | 28.2 |
| 46–55 | 908 | 19.3 |
| 56–65 | 254 | 5.4 |
| 66–75 | 34 | 0.7 |
| ≥76 years | 8 | 0.2 |
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| Primary or below | 92 | 2.0 |
| Junior high school | 655 | 13.9 |
| Senior high school | 905 | 19.2 |
| Three-year college | 830 | 17.6 |
| Undergraduate college | 1,789 | 38.0 |
| Postgraduate and above | 439 | 9.3 |
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| ≤ 5,000 | 1,301 | 27.6 |
| 5,000–9,999 | 1,548 | 32.9 |
| 10,000–19,999 | 1,099 | 23.3 |
| 20,000–39,999 | 464 | 9.9 |
| 40,000–80,000 | 158 | 3.4 |
| ≥80,001 | 140 | 3.0 |
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| Jiangsu | 913 | 19.4 |
| Shandong | 801 | 17.0 |
| Anhui | 953 | 20.2 |
| Shanghai municipality | 618 | 13.1 |
| Zhejiang | 709 | 15.1 |
| Fujian | 716 | 15.2 |
Number of correct answers to each knowledge of adequate diets item (N = 4,710).
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| Daily use of cooking oil 25–30 g | 1,539 | 32.7 |
| Daily salt intake not to exceed 6 g | 1,939 | 41.2 |
| Daily sugar take amount not to exceed 50 g | 1,243 | 26.4 |
| Daily intake of milk and dairy products 300 g | 1,015 | 21.5 |
| Daily water intake 1,500–1,700 ml | 1,276 | 27.1 |
| Daily intake of vegetables 300–500 g | 1,635 | 34.7 |
| Eat at least 12 types of food a day | 751 | 15.9 |
Origin of information regarding diet and ANOVA analysis of knowledge of adequate diets score means among different information sources regarding diets (N = 4,710).
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| Expert lectures | No | 3,453 (73.3) | 25.94 | 158.55 | 0.000 |
| Yes | 1,257 (26.7) | 36.86 | |||
| Books, newspapers, and magazines | No | 2,126 (45.1) | 24.24 | 118.30 | 0.000 |
| Yes | 2,584 (54.9) | 32.66 | |||
| Television and radio | No | 2,859 (60.7) | 28.27 | 3.54 | 0.060 |
| Yes | 1,851 (39.3) | 29.77 | |||
| Friends or relatives | No | 2,363 (50.2) | 29.38 | 1.79 | 0.181 |
| Yes | 2,347 (49.8) | 28.33 | |||
| Social media | No | 2,266 (48.1) | 27.61 | 9.49 | 0.002 |
| Yes | 2,444 (51.9) | 30.01 | |||
| Health care product sales staff | No | 4,399 (93.4) | 28.97 | 1.16 | 0.281 |
| Yes | 311 (6.6) | 27.28 |
Multiple regression coefficients (odds ratio, standardized β) for socio-economic variables in terms of different information sources regarding, reasonable diets (ISRDs) associated with knowledge of adequate diets (KAD) score.
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| Gender (female) | 0.822** | 1.079 | 1.082 | 1.424** | 1.328** | 1.234 | 0.058** | −0.004 |
| Age | 0.810** | 1.014 | 1.047 | 1.096** | 0.791** | 0.697** | −0.066** | 0.098** |
| Level of education | 1.174** | 1.236** | 0.986 | 0.934** | 0.977 | 0.837** | 0.039** | 0.125** |
| Income | 1.168** | 1.090** | 0.947* | 1.063* | 1.120** | 1.130** | 0.076** | 0.049** |
| Number of | - | - | - | - | - | - | - | 0.119** |
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*P < 0.05, **P < 0.01.
“-” indicates no data.
OR, odds ratio; β, standardized coefficient.