scholarly journals Ghrelin, Adiponectin, and Leptin Do Not Predict Long-term Changes in Weight and Body Mass Index in Older Adults: Longitudinal Analysis of the Rancho Bernardo Cohort

2005 ◽  
Vol 162 (12) ◽  
pp. 1189-1197 ◽  
Author(s):  
Claudia Langenberg ◽  
Jaclyn Bergstrom ◽  
Gail A. Laughlin ◽  
Elizabeth Barrett-Connor
2021 ◽  
pp. 1-11
Author(s):  
Kylie R. Kadey ◽  
John L. Woodard ◽  
Allison C. Moll ◽  
Kristy A. Nielson ◽  
J. Carson Smith ◽  
...  

Background: Body mass index (BMI) has been identified as an important modifiable lifestyle risk factor for dementia, but less is known about how BMI might interact with Apolipoprotein E ɛ4 (APOE ɛ4) carrier status to predict conversion to mild cognitive impairment (MCI) and dementia. Objective: The aim of this study was to investigate the interaction between APOE ɛ4 status and baseline (bBMI) and five-year BMI change (ΔBMI) on conversion to MCI or dementia in initially cognitively healthy older adults. Methods: The associations between bBMI, ΔBMI, APOE ɛ4 status, and conversion to MCI or dementia were investigated among 1,289 cognitively healthy elders from the National Alzheimer’s Coordinating Center (NACC) database. Results: After five years, significantly more carriers (30.6%) converted to MCI or dementia than noncarriers (17.6%), p <  0.001, OR = 2.06. Neither bBMI (OR = 0.99, 95%CI = 0.96–1.02) nor the bBMI by APOE interaction (OR = 1.02, 95%CI = 0.96–1.08) predicted conversion. Although ΔBMI also did not significantly predict conversion (OR = 0.90, 95%CI = 0.78–1.04), the interaction between ΔBMI and carrier status was significant (OR = 0.72, 95%CI = 0.53–0.98). For carriers only, each one-unit decline in BMI over five years was associated with a 27%increase in the odds of conversion (OR = 0.73, 95%CI = 0.57–0.94). Conclusion: A decline in BMI over five years, but not bBMI, was strongly associated with conversion to MCI or dementia only for APOE ɛ4 carriers. Interventions and behaviors aimed at maintaining body mass may be important for long term cognitive health in older adults at genetic risk for AD.


Author(s):  
Prarthna V. Bhardwaj ◽  
Vida Rastegar ◽  
Rohini Meka ◽  
Khalid Sawalha ◽  
Maura Brennan ◽  
...  

1997 ◽  
Vol 46 (2) ◽  
pp. 117-123
Author(s):  
Norio TAKEUCHI ◽  
Yoshikatsu MOCHIZUKI ◽  
Iwao SUGIMURA ◽  
Yuzo FUKUYAMA

2019 ◽  
Vol 5 (4) ◽  
pp. 291-303 ◽  
Author(s):  
L. Sares‐Jäske ◽  
P. Knekt ◽  
S. Männistö ◽  
O. Lindfors ◽  
M. Heliövaara

Author(s):  
Jie Guo ◽  
Xuerui Li ◽  
Rongrong Yang ◽  
Anna Marseglia ◽  
Abigail Dove ◽  
...  

2012 ◽  
Vol 25 (2) ◽  
pp. 342-363 ◽  
Author(s):  
Anda Botoseneanu ◽  
Jersey Liang

Objectives: To evaluate latent heterogeneity in long-term trajectories of body weight in older adults. Methods: We analyzed 14-year longitudinal data on 10,314 older adults from the Health and Retirement Study. Semiparametric mixture models identified latent subgroups of similar trajectories of body mass index (BMI). Results: Five distinct trajectory subgroups emerged: normal starting-BMI with accelerated increase over time (trajectory #1), overweight and increasing (trajectory #2), borderline-obese and increasing (trajectory #3), obese and increasing (trajectory #4), and morbidly obese with decelerating gain (trajectory #5). Blacks and Hispanics had greater risk of membership in ascending high-BMI trajectory groups. Females had approximately half the risk of following overweight and obese increasing BMI trajectories compared with males. Discussion: Distinct latent subgroups of BMI trajectories and significant racial/ethnic and gender trajectory heterogeneity exist in the older adult population. The propensity of men and minorities to experience high-risk BMI trajectories may exacerbate existing disparities in morbidity/ mortality in older age.


2021 ◽  
Vol 13 (2) ◽  
pp. 52-61
Author(s):  
Eunjung Kim ◽  
Ji-Hyeon Park ◽  
Eun-Mi Seol ◽  
Seong-Ho Kong ◽  
Do Joong Park ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document