Alessandra Silva, Lidyane do Vale Camelo, Amanda Viana Machado, Marina Campos Araújo, Alexandre da Costa Pereira, Luana Giatti Gonçalves, Maria de Jesus Mendes da Fonseca, Sandhi Maria Barreto, Rosane Harter Griep
{"title":"Telomere length as a predictor of obesity: A longitudinal analysis in ELSA-Brasil","authors":"Alessandra Silva, Lidyane do Vale Camelo, Amanda Viana Machado, Marina Campos Araújo, Alexandre da Costa Pereira, Luana Giatti Gonçalves, Maria de Jesus Mendes da Fonseca, Sandhi Maria Barreto, Rosane Harter Griep","doi":"10.1016/j.cnd.2026.08.076","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>To investigate the association of telomere length (TL) with obesity in a sub sample of participants from the Longitudinal Study of Adult Health (ELSA-Brasil).</div></div><div>To investigate the association of telomere length (TL) with obesity in a sub sample of participants from the Longitudinal Study of Adult Health (ELSA-Brasil).</div><div><h3>Methods</h3><div>This was a cross-sectional and longitudinal analysis with data from the ELSA-Brasil cohort (ethics committees’ number 976/2006): baseline: 2008–2010; wave 2: 2012–2014; wave 3: 2017–2019. All participants signed an informed consent form. TL was measured using qPCR at baseline, age-corrected, and categorized into tertiles (T1: long; T2: medium; T3: short). Obesity was defined as a body mass index<!--> <!-->≥<!--> <!-->30<!--> <!-->kg/m<sup>2</sup>. The cross-sectional (baseline) association of TL with obesity was assessed using multiple logistic regression. To assess the longitudinal association of baseline TL tertiles and obesity through the waves, a Generalized Linear Mixed Model with a binomial distribution and a random intercept per individual was used. Time was modeled as a categorical variable representing the follow-up waves. Sex, schooling, smoking, alcohol use, physical activity, and energy intake were used as adjustments. Data were presented as Odds Ratios (OR) and 95% CI using R software (v4.4.0) and α of 5%.</div></div><div>This was a cross-sectional and longitudinal analysis with data from the ELSA-Brasil cohort (ethics committees’ number 976/2006): baseline: 2008–2010; wave 2: 2012–2014; wave 3: 2017–2019. All participants signed an informed consent form. TL was measured using qPCR at baseline, age-corrected, and categorized into tertiles (T1: long; T2: medium; T3: short). Obesity was defined as a body mass index<!--> <!-->≥<!--> <!-->30<!--> <!-->kg/m<sup>2</sup>. The cross-sectional (baseline) association of TL with obesity was assessed using multiple logistic regression. To assess the longitudinal association of baseline TL tertiles and obesity through the waves, a Generalized Linear Mixed Model with a binomial distribution and a random intercept per individual was used. Time was modeled as a categorical variable representing the follow-up waves. Sex, schooling, smoking, alcohol use, physical activity, and energy intake were used as adjustments. Data were presented as Odds Ratios (OR) and 95% CI using R software (v4.4.0) and α of 5%.</div><div><h3>Results</h3><div>A total of 1,830 participants were evaluated. They were 52.35 (SD 9.09) years old, most were female, had completed higher education, never smoked, engaged in light physical activity, and were alcohol users. The prevalence of obesity in baseline and in waves 2 and 3 was 19.1%, 21.8%, and 24.8%, respectively. In a cross-sectional analysis, individuals in the second and third thirds of TL (shorter TL) had 47% and 53% higher odds of obesity, respectively, regardless of confounders. The temporal advancement of the follow-up proved to be the main independent predictor for obesity. It was observed that those with shorter TL had 41% higher odds (OR<!--> <!-->=<!--> <!-->1.41; 95% CI 0.61–3.22) of having obesity, but without statistical significance. When adjusting for confounders, the gradient and direction of the association remained (OR<!--> <!-->=<!--> <!-->3.77; 95% CI: 0.35–1.79), but without statistical significance.</div></div><div>A total of 1,830 participants were evaluated. They were 52.35 (SD 9.09) years old, most were female, had completed higher education, never smoked, engaged in light physical activity, and were alcohol users. The prevalence of obesity in baseline and in waves 2 and 3 was 19.1%, 21.8%, and 24.8%, respectively. In a cross-sectional analysis, individuals in the second and third thirds of TL (shorter TL) had 47% and 53% higher odds of obesity, respectively, regardless of confounders. The temporal advancement of the follow-up proved to be the main independent predictor for obesity. It was observed that those with shorter TL had 41% higher odds (OR<!--> <!-->=<!--> <!-->1.41; 95% CI 0.61–3.22) of having obesity, but without statistical significance. When adjusting for confounders, the gradient and direction of the association remained (OR<!--> <!-->=<!--> <!-->3.77; 95% CI: 0.35–1.79), but without statistical significance.</div><div><h3>Conclusion</h3><div>Short TL showed a cross-sectional association with obesity, but no association in longitudinal analyses. This study is pioneering in Brazil by investigating the association between telomere length and obesity, especially longitudinally.</div></div><div>Short TL showed a cross-sectional association with obesity, but no association in longitudinal analyses. This study is pioneering in Brazil by investigating the association between telomere length and obesity, especially longitudinally.</div>","PeriodicalId":43722,"journal":{"name":"CAHIERS DE NUTRITION ET DE DIETETIQUE","volume":"61 ","pages":"Pages e41-e42"},"PeriodicalIF":0.3000,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CAHIERS DE NUTRITION ET DE DIETETIQUE","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0007996026001525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/24 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
To investigate the association of telomere length (TL) with obesity in a sub sample of participants from the Longitudinal Study of Adult Health (ELSA-Brasil).
To investigate the association of telomere length (TL) with obesity in a sub sample of participants from the Longitudinal Study of Adult Health (ELSA-Brasil).
Methods
This was a cross-sectional and longitudinal analysis with data from the ELSA-Brasil cohort (ethics committees’ number 976/2006): baseline: 2008–2010; wave 2: 2012–2014; wave 3: 2017–2019. All participants signed an informed consent form. TL was measured using qPCR at baseline, age-corrected, and categorized into tertiles (T1: long; T2: medium; T3: short). Obesity was defined as a body mass index ≥ 30 kg/m2. The cross-sectional (baseline) association of TL with obesity was assessed using multiple logistic regression. To assess the longitudinal association of baseline TL tertiles and obesity through the waves, a Generalized Linear Mixed Model with a binomial distribution and a random intercept per individual was used. Time was modeled as a categorical variable representing the follow-up waves. Sex, schooling, smoking, alcohol use, physical activity, and energy intake were used as adjustments. Data were presented as Odds Ratios (OR) and 95% CI using R software (v4.4.0) and α of 5%.
This was a cross-sectional and longitudinal analysis with data from the ELSA-Brasil cohort (ethics committees’ number 976/2006): baseline: 2008–2010; wave 2: 2012–2014; wave 3: 2017–2019. All participants signed an informed consent form. TL was measured using qPCR at baseline, age-corrected, and categorized into tertiles (T1: long; T2: medium; T3: short). Obesity was defined as a body mass index ≥ 30 kg/m2. The cross-sectional (baseline) association of TL with obesity was assessed using multiple logistic regression. To assess the longitudinal association of baseline TL tertiles and obesity through the waves, a Generalized Linear Mixed Model with a binomial distribution and a random intercept per individual was used. Time was modeled as a categorical variable representing the follow-up waves. Sex, schooling, smoking, alcohol use, physical activity, and energy intake were used as adjustments. Data were presented as Odds Ratios (OR) and 95% CI using R software (v4.4.0) and α of 5%.
Results
A total of 1,830 participants were evaluated. They were 52.35 (SD 9.09) years old, most were female, had completed higher education, never smoked, engaged in light physical activity, and were alcohol users. The prevalence of obesity in baseline and in waves 2 and 3 was 19.1%, 21.8%, and 24.8%, respectively. In a cross-sectional analysis, individuals in the second and third thirds of TL (shorter TL) had 47% and 53% higher odds of obesity, respectively, regardless of confounders. The temporal advancement of the follow-up proved to be the main independent predictor for obesity. It was observed that those with shorter TL had 41% higher odds (OR = 1.41; 95% CI 0.61–3.22) of having obesity, but without statistical significance. When adjusting for confounders, the gradient and direction of the association remained (OR = 3.77; 95% CI: 0.35–1.79), but without statistical significance.
A total of 1,830 participants were evaluated. They were 52.35 (SD 9.09) years old, most were female, had completed higher education, never smoked, engaged in light physical activity, and were alcohol users. The prevalence of obesity in baseline and in waves 2 and 3 was 19.1%, 21.8%, and 24.8%, respectively. In a cross-sectional analysis, individuals in the second and third thirds of TL (shorter TL) had 47% and 53% higher odds of obesity, respectively, regardless of confounders. The temporal advancement of the follow-up proved to be the main independent predictor for obesity. It was observed that those with shorter TL had 41% higher odds (OR = 1.41; 95% CI 0.61–3.22) of having obesity, but without statistical significance. When adjusting for confounders, the gradient and direction of the association remained (OR = 3.77; 95% CI: 0.35–1.79), but without statistical significance.
Conclusion
Short TL showed a cross-sectional association with obesity, but no association in longitudinal analyses. This study is pioneering in Brazil by investigating the association between telomere length and obesity, especially longitudinally.
Short TL showed a cross-sectional association with obesity, but no association in longitudinal analyses. This study is pioneering in Brazil by investigating the association between telomere length and obesity, especially longitudinally.
期刊介绍:
Les Cahiers de nutrition et de diététique sont le lieu de communication reconnu pour les médecins spécialistes de la nutrition, les diététiciens, les professionnels et les chercheurs de agro-alimentaire, les enseignants et les étudiants. Les Cahiers de nutrition et de diététique abordent les sujets se rapportant à la biologie générale, à la médecine et à la nutrition, aux aliments, aux comportements alimentaires, à la diététique pratique, ainsi que des thèmes variés : activité physique, apports nutritionnels conseillés, dénutrition, alcool, obésité de enfant, aliments à effet santé, plaisir alimentaire, restauration collective, goûters et collations, allergies alimentaires...