Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan
The prevalence of overweight and obesity has been increasing in Central Asia. Among numerous potential dietary determinants of overweight and obesity, sugar-sweetened beverages (SSBs) have received a great deal of attention because they are a significant source of calories and added sugars in both c...
| Main Authors: | , |
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| Format: | Journal Article |
| Language: | Inglés |
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Informa UK Limited
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/152393 |
| _version_ | 1855540771577397248 |
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| author | Suyunov, Alisher Akramov, Kamiljon T. |
| author_browse | Akramov, Kamiljon T. Suyunov, Alisher |
| author_facet | Suyunov, Alisher Akramov, Kamiljon T. |
| author_sort | Suyunov, Alisher |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The prevalence of overweight and obesity has been increasing in Central Asia. Among numerous potential dietary determinants of overweight and obesity, sugar-sweetened beverages (SSBs) have received a great deal of attention because they are a significant source of calories and added sugars in both children and adults. In this study, we examine the relationship between SSB consumption and overweight and obesity in Kyrgyzstan using household-level data from the Kyrgyzstan Integrated Household Survey 2011 using propensity score matching in tandem with machine-learning models. The findings of our study indicate SSBs consumption is associated with 1.6 percentage point higher risk of obesity among both men and women in the context of Kyrgyzstan. Besides, we have observed the positive association between age, income, calorie intake, and share of calorie intake from staples and the likelihood of being obese. |
| format | Journal Article |
| id | CGSpace152393 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Informa UK Limited |
| publisherStr | Informa UK Limited |
| record_format | dspace |
| spelling | CGSpace1523932025-12-08T09:54:28Z Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan Suyunov, Alisher Akramov, Kamiljon T. artificial intelligence capacity development beverages machine learning obesity weight gain The prevalence of overweight and obesity has been increasing in Central Asia. Among numerous potential dietary determinants of overweight and obesity, sugar-sweetened beverages (SSBs) have received a great deal of attention because they are a significant source of calories and added sugars in both children and adults. In this study, we examine the relationship between SSB consumption and overweight and obesity in Kyrgyzstan using household-level data from the Kyrgyzstan Integrated Household Survey 2011 using propensity score matching in tandem with machine-learning models. The findings of our study indicate SSBs consumption is associated with 1.6 percentage point higher risk of obesity among both men and women in the context of Kyrgyzstan. Besides, we have observed the positive association between age, income, calorie intake, and share of calorie intake from staples and the likelihood of being obese. 2024-12-31 2024-09-25T17:04:55Z 2024-09-25T17:04:55Z Journal Article https://hdl.handle.net/10568/152393 en Open Access Informa UK Limited Suyunov, Alisher; and Akramov, Kamiljon. 2024. Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan. Journal of Applied Economics 27(1): 2399457. https://doi.org/10.1080/15140326.2024.2399457 |
| spellingShingle | artificial intelligence capacity development beverages machine learning obesity weight gain Suyunov, Alisher Akramov, Kamiljon T. Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan |
| title | Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan |
| title_full | Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan |
| title_fullStr | Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan |
| title_full_unstemmed | Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan |
| title_short | Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan |
| title_sort | economic ai on the move the relationship between sugar sweetened beverages consumption and weight gain in kyrgyzstan |
| topic | artificial intelligence capacity development beverages machine learning obesity weight gain |
| url | https://hdl.handle.net/10568/152393 |
| work_keys_str_mv | AT suyunovalisher economicaionthemovetherelationshipbetweensugarsweetenedbeveragesconsumptionandweightgaininkyrgyzstan AT akramovkamiljont economicaionthemovetherelationshipbetweensugarsweetenedbeveragesconsumptionandweightgaininkyrgyzstan |