scholarly journals Statistical Methods to Study Variation in Associations Between Food Store Availability and Body Mass in the Multi-Ethnic Study of Atherosclerosis

Epidemiology ◽  
2017 ◽  
Vol 28 (3) ◽  
pp. 403-411 ◽  
Author(s):  
Jonggyu Baek ◽  
Jana A. Hirsch ◽  
Kari Moore ◽  
Loni Philip Tabb ◽  
Tonatiuh Barrientos-Gutierrez ◽  
...  
Nutrients ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2369 ◽  
Author(s):  
Momosaki ◽  
Wakabayashi ◽  
Maeda ◽  
Shamoto ◽  
Nishioka ◽  
...  

This study sought to clarify the association between food store availability and the incidence of disability in older adults. This study utilized a population-based cohort study of independent Japanese adults aged ≥65 years, which was a 6 year follow-up of participants in the Japan Gerontological Evaluation Study. A total of 31,273 respondents were extracted. Food store availability was evaluated based on the existence of food stores within 500/1000 m of the home. We utilized participant-reported subjective measurement as well as geographic information system-based objective measurement for the evaluation. The incidence of disability was determined using municipal data on eligibility for long-term care insurance benefits. There were 7643 (24.4%) community-dwelling participants with low subjective food store availability and 5673 (18.1%) with low objective food store availability. During the follow-up period of 6 years, the cumulative incidence of disability was 20.9%, with a significant association between low subjective food store availability and increased disability. Participants who reported low subjective food store availability had a significantly higher likelihood of developing disability (hazard ratio = 1.18, 95% confidence interval: 1.11–1.25) than those who reported high subjective food store availability after adjusting for age, sex, sociodemographic status, environmental status, walking and going out, dietary food intake, body mass index, and comorbidities. Low subjective food store availability was associated with early onset of disability. Accessibility of food stores might contribute to maintaining a disability-free life.


2012 ◽  
Vol 22 (10) ◽  
pp. 705-709 ◽  
Author(s):  
Laura J. Rasmussen-Torvik ◽  
Christina L. Wassel ◽  
Jingzhong Ding ◽  
Jeffery Carr ◽  
Mary Cushman ◽  
...  

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Matthew J. Singleton ◽  
Charles A. German ◽  
Mercedes Carnethon ◽  
Elsayed Z. Soliman ◽  
Alain G. Bertoni ◽  
...  

Background Higher body mass index (BMI) is associated with increased risk of incident atrial fibrillation (AF), but it is not known whether this relationship varies by race/ethnicity. Methods and Results Eligible participants (6739) from MESA (Multi‐Ethnic Study of Atherosclerosis) were surveilled for incident AF using MESA hospital surveillance, scheduled MESA study ECG, and Medicare claims data. After a median 13.8 years of follow‐up, 970 participants (14.4%) had incident AF. With BMI modeled categorically in a Cox proportional hazards model, only those with grade II and grade III obesity had increased risks of AF (hazard ratio [HR], 1.50; 95% CI, 1.14–1.98, P =0.004 for grade II obesity and HR, 2.13; 95% CI, 1.48–3.05, P <0.0001 for grade III obesity). The relationship between BMI and AF risk was J‐shaped. However, the risk of AF as a function of BMI varied substantially by race/ethnicity ( P value for interaction=0.02), with Chinese‐American participants having a much higher risk of AF with higher BMI and Black participants having minimal increased risk of AF with higher BMI. Conclusions Obesity is associated with an increased risk of incident AF, but the relationship between BMI and the risk of AF is J‐shaped and this relationship differs by race/ethnicity, such that Chinese‐American participants have a more pronounced increased risk of AF with higher BMI, while Black participants have minimal increased risk. Further exploration of the differential effects of BMI by race/ethnicity on cardiovascular outcomes is needed.


2009 ◽  
Vol 9 (5) ◽  
pp. 339-343 ◽  
Author(s):  
Maida P. Galvez ◽  
Lu Hong ◽  
Elizabeth Choi ◽  
Laura Liao ◽  
James Godbold ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document