scholarly journals Association Between Weight Change and Leukocyte Telomere Length in U.S. Adults

2021 ◽  
Vol 12 ◽  
Author(s):  
Yiling Zhang ◽  
Ziye Xu ◽  
Yiling Yang ◽  
Shanshan Cao ◽  
Sali Lyu ◽  
...  
Keyword(s):  
Weight Gain ◽  
Telomere Length ◽  
Weight Change ◽  
Reference Group ◽  
Normal Weight ◽  
Leukocyte Telomere Length ◽  
Weight Changes ◽  
Health And Nutrition ◽  
Race Ethnicity ◽  
Stratified Analysis

ObjectiveTo investigate the association of dynamic weight change in adulthood with leukocyte telomere length among U.S. adults.MethodsThis study included 3,886 subjects aged 36-75 years from the National Health and Nutrition Examination Survey (NHANES) 1999-2002 cycle. Survey-weighted multivariable linear regression with adjustments for potential confounders was utilized.Results3,386 individuals were finally included. People with stable obesity had a 0.130 kbp (95% CI: 0.061-0.198, P=1.97E-04) shorter leukocyte telomere length than those with stable normal weight (reference group) during the 10-year period, corresponding to approximately 8.7 years of aging. Weight gain from non-obesity to obesity shortened the leukocyte telomere length by 0.094 kbp (95% CI: 0.012-0.177, P=0.026), while normal weight to overweight or remaining overweight shortened the leukocyte telomere length by 0.074 kbp (95% CI: 0.014-0.134, P=0.016). The leukocyte telomere length has 0.003 kbp attrition on average for every 1 kg increase in weight from a mean age of 41 years to 51 years. Further stratified analysis showed that the associations generally varied across sex and race/ethnicity.ConclusionsThis study found that weight changes during a 10-year period was associated with leukocyte telomere length and supports the theory that weight gain promotes aging across adulthood.

Abstract P668: Clinically Meaningful Weight Gain Before Menopause and Risk of Stroke

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Maria D Zambrano Espinoza ◽  
Emma Kersey ◽  
Amelia K Boehme ◽  
Joshua Willey ◽  
Eliza C Miller
Keyword(s):  
Weight Gain ◽  
Weight Change ◽  
Stroke Risk ◽  
Cox Regression ◽  
Reference Group ◽  
Weight Changes ◽  
Younger Women ◽  
Hazard Ratios ◽  
History Of ◽  
Using Data

Background: Obesity is an independent risk factor for stroke. Weight gain has been associated with a higher risk of cardiovascular diseases in postmenopausal women. It is unclear, however, if weight changes before menopause have similar effects. We hypothesized that clinically meaningful premenopausal weight gain, defined as Body Mass Index (BMI) change >5%, would be associated with a higher stroke risk later in life. Methods: Using data from the California Teachers Study, we identified women aged < 55 with no history of stroke. We used weight changes between 1995-2006 as proxy for premenopausal weight gain. We defined weight change as modest or moderate using BMI changes of 5-10% and >10% respectively. Stroke outcomes were obtained from linkage to California hospitalization records. We used Cox regression models to calculate hazard ratios with 95% confidence intervals for the association of weight change and future stroke, adjusting for vascular risk factors. Results: Of 17,295 women included in the study, 113 had a stroke. In comparison to women who maintained a stable weight, women with moderate weight gain during premenopausal years had 2.0 times the risk of stroke. In the adjusted analysis, women with moderate weight gain had 89.6% higher risk of stroke, compared to the reference group. We found no significant association with stroke in women who had modest weight changes. Conclusion: Moderate premenopausal weight gain significantly increased stroke risk in women. Younger women should be educated about the effects of weight gain on future brain health. Count: 1836/1950

scholarly journals REPORTED WEIGHT CHANGE IN OLDER ADULTS AND PRESENCE OF FRAILTY

2019 ◽  
pp. 1-8
Author(s):  
R.S. Crow ◽  
C.L. Petersen ◽  
S.B. Cook ◽  
C.J. Stevens ◽  
A.J. Titus ◽  
...  
Keyword(s):  
Older Adults ◽  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Primary Outcome ◽  
Weight Changes ◽  
Health And Nutrition ◽  
The Impact ◽  
Current Weight ◽  
Time Point

Objective: A 5% change in weight is a significant predictor for frailty and obesity. We ascertained how self-reported weight change over the lifespan impacts rates of frailty in older adults. Methods: We identified 4,984 subjects ≥60 years with body composition measures from the National Health and Nutrition Examination Survey. An adapted version of Fried’s frailty criteria was used as the primary outcome. Self-reported weight was assessed at time current,1 and 10 years earlier and at age 25. Weight changes between each time point were categorized as ≥ 5%, ≤5% or neutral. Logistic regression assessed the impact of weight change on the outcome of frailty. Results: Among 4,984 participants, 56.5% were female, mean age was 71.1 years, and mean BMI was 28.2kg/m2. A weight loss of ≥ 5% had a higher association with frailty compared to current weight, age 25 (OR 2.94 [1.72,5.02]), 10 years ago (OR 1.68 [1.05,2.69]), and 1 year ago (OR 1.55 [1.02,2.36]). Weight gain in the last year was associated with increased rate of frailty (1.59 [1.09,2.32]). Conclusion: There is an association between frailty and reported weight loss over time while only weight gain in the last year has an association with frailty.

scholarly journals Risk Factors Related to Weight Gain for Chines During Home Confinement in COVID-19 Pandemic: An Observational Retrospective Study

2020 ◽  
Author(s):  
Qing-Song Xia ◽  
Fan Wu ◽  
Ming-Ming Gong ◽  
Yan Zhao ◽  
Ding-Kun Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Weight Gain ◽  
Food Intake ◽  
Linear Regression ◽  
Observational Study ◽  
Weight Change ◽  
Normal Weight ◽  
Weight Changes ◽  
Daily Exercise

Abstract Objective: The observational study was intended to explore the weight changes and risk factors of weight gain during the self-quarantine and find available methods to lose weight.Method: This was an online retrospective observational study investigating the weight changes before and after home confinement. A total of 530 participants completed the online questionnaire. diet, sleep, self-reported depression, disease history and exercise information possibly relating to weight changes were incorporated into the questionnaire. The differences among four groups (underweight, normal weight, overweight and obesity) in BMI change and weight change were compared, and the risk factors of weight gain was also analyzed by multiple linear regression analysis. Result: Participants were mostly between 21-50 years old, getting an average weight change of 0.82±3.31kg, and an average BMI change of 0.35 [-0.37, 1.00]. 43.77% of them gained weight by 2.99±2.29kg averagely. People with normal weight were easier to gain weight than obese group (p=0.001). There were differences in food intake (p<0.001), eating habits(p<0.001), taste preference (p=0.047), daily exercise step change(p=0.007), exercise (p=0.02) between non-weight gain group and weight gain group. The multiple linear regression revealed that weight gains were associated with sex (p=0.002), food intake (p=0.004), current daily exercise step (p=0.009) and self-reported depression (p=0.002) and weight loss was related to food intake (p=0.004) and pre-BMI (p=0.001).Conclusion: Eating irregularly, increasing food intake, self-reported depression and decreased daily steps were risk factors of weight gain, yet weight loss was related to decreased food intake and pre-BMI.

scholarly journals Adiposity and Leukocyte Telomere Length in US Adults by Sex-Specific Race/Ethnicity: National Health and Nutrition Examination Survey

2020 ◽  
Vol 30 (3) ◽  
pp. 441-450 ◽  
Author(s):  
Sharon K. Davis ◽  
Ruihua Xu ◽  
Rumana J. Khan ◽  
Amadou Gaye
Keyword(s):  
Telomere Length ◽  
National Health ◽  
Mexican American ◽  
White Women ◽  
The United States ◽  
Cellular Aging ◽  
Leukocyte Telomere Length ◽  
Health And Nutrition ◽  
Race Ethnicity ◽  
Total Body

Objective: Little is known about the rela­tionship between adiposity and telomere length in the United States population. The objective of our research was to examine this relationship in a representative, socio­economically and sex-specific, diverse ra­cial/ethnic population in the United States.Design: Cross-sectional.Methods: Body mass index (BMI), % total body fat (TBF) and waist circumference (WC) with leukocyte telomere length (LTL) were examined according to sex-specific race/ethnicity using separate adjusted mul­tivariate linear regressions on a sample of 4,919 respondents aged 20-84 years from the National Health and Nutrition Examina­tion Survey’s 1999-2002 data.Results: LTL was shortened .41%, .44%, and .16% in African American (AA) women and was associated with increasing BMI, %TBF, and WC, (β:-.0041, 95%CI: -.0070, -.0012; P=.007; β:-.0044, 95% CI: -.0081, -.0007; P=.02; β:-.0016, 95%CI: -.0031, -.0001; P=.04, respectively). LTL was shortened .29% in White women and was associated with increasing %TBF (β:-.0029, 95%CI: -.0048, -.0009; P=.006). There were no associations among AA men, White men or Mexican American men and women.Conclusions: LTL is associated with an obesity phenotype in AA women. Tailored intervention is needed to ameliorate the burden of excess adiposity and subsequent cellular aging. Ethn Dis. 2020;30(3):441-450; doi:10.18865/ed.30.3.441

scholarly journals Effect of adiposity on leukocyte telomere length in US adults by race/ethnicity: The National Health and Nutrition Examination Survey

2019 ◽  
Author(s):  
Sharon K. Davis ◽  
Ruihua Xu ◽  
Rumana J. Khan ◽  
Amadou Gaye ◽  
Yie Liu
Keyword(s):  
Health Behaviors ◽  
Telomere Length ◽  
Biological Aging ◽  
Leukocyte Telomere Length ◽  
Nutrition Examination Survey ◽  
Telomere Attrition ◽  
Health And Nutrition ◽  
The Us ◽  
Race Ethnicity ◽  
The Relationship

AbstractObjectiveObesity is associated with telomere attrition – a marker of cellular and biological aging. The US has the highest proportion of obesity and is comprised of a racially/ethnic diverse population. Little is known about the relationship between obesity and telomere attrition according to race/ethnicity in the US. Our objective is to examine the differential association.Design and settingThe effect of body mass index (BMI), % total body fat (TBF) and waist circumference (WC) on leukocyte telomere length (LTL) were examined as adiposity measures according to race/ethnicity and sex specific race/ethnicity using separate adjusted linear regressions on a sample of 4,919 respondents aged 20-84 years from cross-sectional 1999-2002 data using the US National Health and Nutrition Examination Survey. Mediation analyses assessed health behaviors associated with relationship between adiposity measures and LTL.Main outcome measureLTLResultsAfrican Americans (AA) experienced a 28% and 11% decrease in LTL associated with increasing BMI and WC, (p=.02 and .03) respectively. Mexican Americans (MA) experienced a 33% decrease in LTL associated with increasing %TBF (p=.04). Whites experienced a 19%, 23%, and .08% decrease in LTL associated with increasing BMI, %TBF, and WC, (p=.05, .003, .02) respectively. White men experienced a 26% decrease in LTL due to increasing BMI (p=.05). AA women experienced a 41%, 44%, and 16% decrease in LTL due to increasing BMI, %TBF, and WC, respectively (p=.007, .02, .04). White women experienced a 29% decrease in LTL associated with increasing %TBF (p=.006). Selected health behaviors were associated with the relationship between adiposity measures and LTL.ConclusionOverall, AA and Whites have worse cellular and biological aging related to collective adiposity measures. According to sex, AA women experienced more deleterious cellular and biological aging. Findings suggest tailored interventions to improve adverse behaviors that contribute to obesity may improve telomere attrition in US adults.

Relationship of Weight Change Patterns From Young to Middle Adulthood With Incident Cardiovascular Diseases

2020 ◽  
Author(s):  
Mengyi Liu ◽  
Zhuxian Zhang ◽  
Chun Zhou ◽  
Panpan He ◽  
Yuanyuan Zhang ◽  
...  
Keyword(s):  
Cardiovascular Diseases ◽  
Young Adulthood ◽  
Weight Change ◽  
Later Life ◽  
Normal Weight ◽  
Self Report ◽  
Middle Adulthood ◽  
Health And Nutrition ◽  
First Occurrence ◽  
Relationship Of

Abstract Context The effect of weight change patterns on cardiovascular diseases (CVD) remains uncertain. Objective We aim to examine the relation of weight change patterns and absolute weight change from young adulthood to midlife with incident CVD. Design Retrospective cohort study. Setting National Health and Nutrition Examination Survey 1999-2016. Participants A total of 20 715 US adults aged 40 through 79 with recalled weight at young adulthood (25 years) and midlife (10 years before baseline). Main Outcome Measure CVD status was determined by self-report of a prior diagnosis, and age at diagnosis was used to establish time of CVD onset. CVD events was defined as the first occurrence of a congestive heart failure, coronary heart disease, angina pectoris, heart attack, or stroke. Results After 9.76 years of follow-up, compared with participants who remained at normal weight, those in maximum overweight, changing from nonobese to obese, changing from obese to nonobese, maintaining obesity between young and middle adulthood had a 39% (hazard ratio [HR], 1.39; 95% confidence interval [CI], 1.19-1.62), 93% (HR, 1.93; 95% CI, 1.64-2.28), 125% (HR, 2.25; 95% CI, 1.29-3.94), and 132% (HR, 2.32; 95% CI, 1.68-3.20) higher risk of CVD, respectively. In addition, compared with weight change within 2.5 kg, weight gain ≥ 10.0 kg was associated with higher risk of CVD. Conclusions Both nonobese to obese, obese to nonobese, and stable obese from young to middle adulthood were associated with increased risks of CVD. The findings emphasize the importance of maintaining normal weight throughout the adulthood for preventing CVD in later life.

scholarly journals Weight changes during chemotherapy for breast cancer

2002 ◽  
Vol 120 (4) ◽  
pp. 113-117 ◽  
Author(s):  
Luciano José Megale Costa ◽  
Paulo César Spotti Varella ◽  
Auro del Giglio
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Body Weight ◽  
Weight Gain ◽  
Weight Change ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Weight Changes ◽  
Free Survival ◽  
Disease Free

CONTEXT: Patients receiving adjuvant chemotherapy for breast cancer have a tendency to gain weight. This tendency has determining factors not completely defined and an unknown prognostic impact. OBJECTIVE: To evaluate weight change during chemotherapy for breast cancer in a defined population and to identify its predisposing factors and possible prognostic significance. DESIGN: Observational, retrospective cohort study. SETTING: Private clinical oncology service. PARTICIPANTS: 106 consecutive patients with breast cancer treated between June 1994 and April 2000, who received neoadjuvant (n = 8), adjuvant (n = 74) or palliative (n = 24) chemotherapy. INTERVETION: Review of medical records and gathering of clinical information, including patients’ body weights before treatment and at follow-up reviews. MAIN MEASUREMENTS: Body weight change, expressed as percentage of body weight per month in treatment; role of clinical data in weight change; and influence of weight change in overall survival and disease-free survival. RESULTS: There was a mean increase of 0.50 ± 1.42% (p = 0.21) of body weight per month of treatment. We noted a negative correlation between metastatic disease and weight gain (r = -0.447, p < 0.0001). In the adjuvant and neoadjuvant therapy groups there was a mean weight gain of 0.91 ± 1.19 % (p < 0.00001) per month, whereas in the metastatic (palliative) group, we observed a mean loss of 0.52 ± 1.21% (p = 0.11) of body weight per month during the treatment. We did not observe any statistically significant correlation between weight changes and disease-free survival or overall survival. CONCLUSIONS: Women with breast cancer undergoing adjuvant or neoadjuvant chemotherapy gain weight, whereas metastatic cancer patients will probably lose weight during palliative chemotherapy. Further studies are needed in order to evaluate the prognostic significance of weight changes during chemotherapy.

Sign in / Sign up

Export Citation Format

Share Document