| Literature DB >> 27302671 |
C W Leung1, B A Laraia2, K Coleman-Phox1, N R Bush1,3, J Lin4, E H Blackburn4, N E Adler1,3, E S Epel1,3.
Abstract
Leukocyte telomere length (LTL) has been inversely associated with sugar-sweetened beverage (SSB) consumption in cross-sectional studies, but no studies have examined whether dietary intake influences LTL over time. This study examined longitudinal associations between sugary foods and beverages and LTL. Participants were 65 overweight and obese pregnant women, aged 18-45 years, from a mindfulness intervention study conducted from early pregnancy (⩽16 weeks gestation) and followed through 9 months postpartum. During pregnancy and postpartum, dietary intake was measured with 24-h diet recalls, and LTL was assessed using quantitative PCR. Adjusting for sociodemographic and health characteristics, decreased SSB consumption from baseline to 9 months postpartum was associated with greater concurrent LTL lengthening (β=-0.102, 95% confidence interval (CI) -0.192, -0.013). No associations between sugary foods and LTL were found in either period. The finding that reduced SSB consumption is associated with increased LTL warrants investigation in large cohort studies.Entities:
Mesh:
Substances:
Year: 2016 PMID: 27302671 PMCID: PMC5014682 DOI: 10.1038/ejcn.2016.93
Source DB: PubMed Journal: Eur J Clin Nutr ISSN: 0954-3007 Impact factor: 4.016
Sociodemographic and health characteristics of 65 study participants and baseline LTL z-score
| n (%) or mean (SE) | LTL z-score, mean (SE) |
| |
|---|---|---|---|
| Age at enrollment, in years | 28.4 (0.7) | −0.02 (0.13) |
|
| Race/ethnicity |
| ||
| White or Other | 20 (30.8) | −0.14 (0.24) | |
| African American | 23 (35.4) | −0.15 (0.15) | |
| Hispanic | 22 (33.9) | 0.23 (0.25) | |
| Educational attainment |
| ||
| High school diploma or less | 22 (33.9) | −0.10 (0.17) | |
| Some college or higher | 43 (66.2) | 0.03 (0.17) | |
| Prepregnancy BMI |
| ||
| <30 kg/m2 | 36 (55.4) | 0.15 (0.20) | |
| ≥30 kg/m2 | 29 (44.6) | −0.23 (0.13) | |
| Smoking |
| ||
| Current or former smoker[ | 26 (41.9) | −0.02 (0.17) | |
| Never smoker | 36 (58.1) | −0.03 (0.19) | |
| Leisure-time physical activity[ |
| ||
| Inactive or light activity | 37 (56.9) | −0.10 (0.19) | |
| Moderate or vigorously active 3 times/week | 10 (15.4) | 0.48 (0.26) | |
| Moderate or vigorously active 5 or more times/week | 14 (21.5) | −0.16 (0.22) |
LTL, leukocyte telomere length
Only one study participant was a current smoker at baseline; thus the current and former smoker groups were combined.
Measured using the Stanford Brief Activity Survey
Change in intakes of foods and beverages with added sugars in relation to change in LTL z-score
| Mean (SD) servings | Change in LTL z-score from baseline to 3 months postpartum[ | Change in LTL z-score from baseline to 9 months postpartum[ | |||||
|---|---|---|---|---|---|---|---|
| Baseline | 32-34 weeks gestation | 9 months postpartum |
β
[ | 95% CI |
β
[ | 95% CI | |
| Dairy desserts | 0.34 (0.32) | 0.23 (0.28) | 0.12 (0.17) | 0.101 | −0.070, 0.273 | 0.109 | −0.087, 0.306 |
| Sweetened yogurt | 0.04 (0.09) | 0.13 (0.24) | 0.00 (0.02) | 0.054 | −0.340, 0.448 | −0.442 | −1.334, 0.451 |
| Baked goods | 0.42 (0.68) | 0.57 (0.30) | 0.40 (0.24) | 0.017 | −0.030, 0.064 | −0.021 | −0.069, 0.027 |
| Candy | 0.20 (0.49) | 0.07 (0.17) | 0.16 (0.39) | −0.021 | −0.245, 0.204 | 0.133 | −0.147, 0.413 |
| Syrups and sweet sauces | 1.20 (0.12) | 0.87 (0.56) | 1.33 (0.13) | 0.029 | −0.032, 0.091 | −0.017 | −0.079, 0.045 |
| Sugar-sweetened beverages | 1.30 (1.01) | 1.02 (0.60) | 1.27 (0.95) | ||||
Boldface indicates statistical significance (p<0.05)
LTL, leukocyte telomere length
Compared with changes in diet from baseline to 32-34 weeks gestation
Compared with changes in diet from baseline to 9 months postpartum
Adjusted for age, race/ethnicity, education, prepregnancy BMI, baseline smoking and physical activity, and concurrent change in Alternate Healthy Eating Index-2010 scores.
Adjusted for age, race/ethnicity, education, prepregnancy BMI, and concurrent changes in smoking, physical activity, and Alternate Healthy Eating Index-2010 scores.