Knowledge level and influencing factors of sugar-sweetened beverages among Chinese adults aged 18-64 years in 2021
BackgroundExcessive intake of sugar-sweetened beverages (SSBs) is harmful to health. In recent decades, the consumption of SSBs by Chinese residents has increased rapidly, increasing the risk of death and burden of disease. ObjectiveTo analyze the knowledge level and influencing factors of SSBs for...
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Veröffentlicht in: | Huan jing yu zhi ye yi xue = Journal of environmental & occupational medicine 2023, Vol.40 (7), p.743-748 |
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Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | chi ; eng |
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Zusammenfassung: | BackgroundExcessive intake of sugar-sweetened beverages (SSBs) is harmful to health. In recent decades, the consumption of SSBs by Chinese residents has increased rapidly, increasing the risk of death and burden of disease. ObjectiveTo analyze the knowledge level and influencing factors of SSBs for Chinese residents aged 18-64 years in 2021. MethodsA multi-stage cluster random sampling approach was used to conduct a questionnaire survey among residents aged 18-64 years in 302 survey sites across the country in 2021, and 98567 valid questionnaires were obtained. Four questions are about SSBs among the questionnaire's 5 dimensions. Respondents who answered 3 or more questions correctly were considered to have a basic understanding of SSBs. Frequency and weighted proportion were used for description. With individual as level 1 and resident council (village council) as level 2, a two-level logistic regression model was applied to examine the influencing factors. A null model was used to determine whether the two-level logistic regression model was appropriate. ResultsThe knowledge awareness rate of SSBs was 57.0% among the Chinese residents aged 18-64 years in 2021. The knowledge point with the lowest correct rate was "It is best to consume no more than 25 grams of added sugar per day" (22.6%), while the one with the highest correct rate was "Excessive intake of SSBs can increase the risk of obesity and diabetes" (81.1%). The results of the null model showed that SSBs knowledge level had a clustering effect at resident council (village council) level (t=25.00, P |
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ISSN: | 2095-9982 |
DOI: | 10.11836/JEOM22519 |