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Association between life-course cigarette smoking and metabolic syndrome: a discovery-replication strategy
BACKGROUND: The relation between cigarette smoking and metabolic syndrome (MetS) remains unclear, and previous studies focusing on MetS are limited in sample size. We investigated the association between life-course smoking and MetS with independent discovery and replication samples. METHODS: Prelim...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761321/ https://www.ncbi.nlm.nih.gov/pubmed/35033177 http://dx.doi.org/10.1186/s13098-022-00784-2 |
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author | Wang, Jingya Bai, Yang Zeng, Zihang Wang, Jun Wang, Ping Zhao, Yongai Xu, Weili Zhu, Yun Qi, Xiuying |
author_facet | Wang, Jingya Bai, Yang Zeng, Zihang Wang, Jun Wang, Ping Zhao, Yongai Xu, Weili Zhu, Yun Qi, Xiuying |
author_sort | Wang, Jingya |
collection | PubMed |
description | BACKGROUND: The relation between cigarette smoking and metabolic syndrome (MetS) remains unclear, and previous studies focusing on MetS are limited in sample size. We investigated the association between life-course smoking and MetS with independent discovery and replication samples. METHODS: Preliminary analysis utilized data from an annual cross-sectional survey of 15,222 participants aged ≥ 60 years in Tianjin, China. Suggestive associations were followed-up in 8565 adults from the China Health and Nutrition Survey. MetS was identified according to the criteria of the Chinese Diabetes Society in 2013. Life-course smoking was assessed by a comprehensive smoking index (CSI), based on information on smoking intensity, duration, and time since cessation across life-course, collected through standard questionnaires. Participants were divided into four groups: non-smokers; and the tertiles of CSI in ever smokers. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between life-course smoking and MetS. RESULTS: In the discovery sample, ORs of MetS were 2.01 (95%CI: 1.64–2.47) and 1.76 (95%CI: 1.44–2.16) for smokers in the highest and second tertile of CSI compared with never smokers. Potential interaction was shown for age, with increased ORs for MetS associated with smoking limited to individuals who aged < 70 years (P(interaction) = 0.015). We were able to replicate the association between cigarette smoking and MetS in an independent adult sample (second tertile vs. never: OR = 1.30, 95%CI: 1.04–1.63). The interaction of smoking with age was also replicated. CONCLUSIONS: Life-course cigarette smoking is associated with an increased odds of MetS, especially among individuals who aged < 70 years. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-022-00784-2. |
format | Online Article Text |
id | pubmed-8761321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87613212022-01-18 Association between life-course cigarette smoking and metabolic syndrome: a discovery-replication strategy Wang, Jingya Bai, Yang Zeng, Zihang Wang, Jun Wang, Ping Zhao, Yongai Xu, Weili Zhu, Yun Qi, Xiuying Diabetol Metab Syndr Research BACKGROUND: The relation between cigarette smoking and metabolic syndrome (MetS) remains unclear, and previous studies focusing on MetS are limited in sample size. We investigated the association between life-course smoking and MetS with independent discovery and replication samples. METHODS: Preliminary analysis utilized data from an annual cross-sectional survey of 15,222 participants aged ≥ 60 years in Tianjin, China. Suggestive associations were followed-up in 8565 adults from the China Health and Nutrition Survey. MetS was identified according to the criteria of the Chinese Diabetes Society in 2013. Life-course smoking was assessed by a comprehensive smoking index (CSI), based on information on smoking intensity, duration, and time since cessation across life-course, collected through standard questionnaires. Participants were divided into four groups: non-smokers; and the tertiles of CSI in ever smokers. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between life-course smoking and MetS. RESULTS: In the discovery sample, ORs of MetS were 2.01 (95%CI: 1.64–2.47) and 1.76 (95%CI: 1.44–2.16) for smokers in the highest and second tertile of CSI compared with never smokers. Potential interaction was shown for age, with increased ORs for MetS associated with smoking limited to individuals who aged < 70 years (P(interaction) = 0.015). We were able to replicate the association between cigarette smoking and MetS in an independent adult sample (second tertile vs. never: OR = 1.30, 95%CI: 1.04–1.63). The interaction of smoking with age was also replicated. CONCLUSIONS: Life-course cigarette smoking is associated with an increased odds of MetS, especially among individuals who aged < 70 years. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-022-00784-2. BioMed Central 2022-01-15 /pmc/articles/PMC8761321/ /pubmed/35033177 http://dx.doi.org/10.1186/s13098-022-00784-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wang, Jingya Bai, Yang Zeng, Zihang Wang, Jun Wang, Ping Zhao, Yongai Xu, Weili Zhu, Yun Qi, Xiuying Association between life-course cigarette smoking and metabolic syndrome: a discovery-replication strategy |
title | Association between life-course cigarette smoking and metabolic syndrome: a discovery-replication strategy |
title_full | Association between life-course cigarette smoking and metabolic syndrome: a discovery-replication strategy |
title_fullStr | Association between life-course cigarette smoking and metabolic syndrome: a discovery-replication strategy |
title_full_unstemmed | Association between life-course cigarette smoking and metabolic syndrome: a discovery-replication strategy |
title_short | Association between life-course cigarette smoking and metabolic syndrome: a discovery-replication strategy |
title_sort | association between life-course cigarette smoking and metabolic syndrome: a discovery-replication strategy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761321/ https://www.ncbi.nlm.nih.gov/pubmed/35033177 http://dx.doi.org/10.1186/s13098-022-00784-2 |
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