scholarly journals Long-Term Trajectories of Body Weight, Diet, and Physical Activity From Midlife Through Late Life and Subsequent Cognitive Decline in Women

2019 ◽  
Vol 189 (4) ◽  
pp. 305-313 ◽  
Author(s):  
Maude Wagner ◽  
Francine Grodstein ◽  
Cécile Proust-Lima ◽  
Cécilia Samieri

Abstract Healthy lifestyles are promising targets for prevention of cognitive aging, yet the optimal time windows for interventions remain unclear. We selected a case-control sample nested within the Nurses’ Health Study (starting year 1976, mean age = 51 years), including 14,956 women aged ≥70 years who were free of both stroke and cognitive impairment at enrollment in a cognitive substudy (1995–2001). Cases (n = 1,496) were women with the 10% worst slopes of cognitive decline, and controls (n = 7,478) were those with slopes better than the median. We compared the trajectories of body mass index (weight (kg)/height (m)2), alternate Mediterranean diet (A-MeDi) score, and physical activity between groups, from midlife through 1 year preceding the cognitive substudy. In midlife, cases had higher body mass index than controls (mean difference (MD) = 0.59 units, 95% confidence interval (CI): 0.39, 0.80), lower physical activity (MD = –1.41 metabolic equivalent of task–hours/week, 95% CI: –2.07, –0.71), and worse A-MeDi scores (MD = –0.16 points, 95% CI: –0.26, –0.06). From midlife through later life, compared with controls, cases had consistently lower A-MeDi scores but a deceleration of weight gain and a faster decrease in physical activity. In conclusion, maintaining a healthy lifestyle since midlife may help reduce cognitive decline in aging. At older ages, both deceleration of weight gain and a decrease in physical activity may reflect early signs of cognitive impairment.

2010 ◽  
Vol 68 (2) ◽  
pp. 277-281 ◽  
Author(s):  
Camilla N. De Gaspari ◽  
Carlos A.M. Guerreiro

Antiepileptic drugs (AED) may cause body weight changes. OBJECTIVE: To evaluate the dietary habits and body weight associated with AED in epileptic patients. METHOD: Sixty-six patients were subjected to two interviews, and had their weight and body mass index calculated and compared at both times, interval between six to eight months. RESULTS: It was observed that 59.1% showed weight gain. The patients who had no weight gain had a greater proportion of individuals who engaged in some form of physical activity. However, of the 45 patients who maintained their initial dietary and medication pattern, 75.6% recorded a weight gain. Weight gain was seen in 66.7% of patients on carbamazepine (n=18), 60% on valproate (n=5), 50% on carbamazepine+clobazam treatment (n=14), and 58.3% of patients on other(s) polytherapy (n=12). CONCLUSION: The patient should be alerted to possible weight gain, and should be advised about dieting and participating in regular physical activity.


2007 ◽  
Vol 98 (2) ◽  
pp. 121-124 ◽  
Author(s):  
Susan E. Brien ◽  
Peter T. Katzmarzyk ◽  
Cora L. Craig ◽  
Lise Gauvin

2017 ◽  
Vol 138 (3) ◽  
pp. 169-172 ◽  
Author(s):  
M Hobbs ◽  
C Griffiths ◽  
MA Green ◽  
H Jordan ◽  
J Saunders ◽  
...  

Aims: This study investigates associations between the combined physical activity environment and obesity and explores any sub-group effects by individual-level socioeconomic status. Methods: In a large cross-sectional cohort ( n = 22,889) from the Yorkshire Health Study, body mass index was calculated using self-reported height and weight and obesity was defined as a body mass index ≥ 30. The physical activity environment was split into ‘unfavourable physical activity’, ‘moderately favourable physical activity’ and ‘favourable physical activity’ environments. This was based on the count of parks and physical activity facilities within a 2 km radial buffer centred on home addresses. A favourable physical activity environment was defined as having ≥1 physical activity facility and ≥1 park, unfavourable as having no physical activity facility and park and any other combinations defined as moderately favourable. Logistic regression (odds ratios) identified associations with obesity. Results: Relative to ‘unfavourable physical activity environments’, individuals within favourable physical activity environments were less likely to be obese (odds ratio = 0.90; 95% confidence interval = 0.82–0.97), and there was no effect for moderately favourable environment. Furthermore, once stratified by education level, this relationship was only present for those of higher education. Conclusion: Our findings provide novel UK evidence and is one of the first papers internationally that highlights the importance of considering the interplay of individual-level socioeconomic factors when investigating associations between the physical activity environment and obesity.


2013 ◽  
Vol 103 (2) ◽  
pp. 369-375 ◽  
Author(s):  
Peter James ◽  
Philip J. Troped ◽  
Jaime E. Hart ◽  
Corinne E. Joshu ◽  
Graham A. Colditz ◽  
...  

2015 ◽  
Author(s):  
Huakang Tu ◽  
Xia Pu ◽  
Carrie Daniel-MacDougall ◽  
Stephanie C. Melkonian ◽  
Yuanqing Ye ◽  
...  

2010 ◽  
Vol 7 (4) ◽  
pp. 1500-1507 ◽  
Author(s):  
Rute Santos ◽  
Luísa Soares-Miranda ◽  
Susana Vale ◽  
Carla Moreira ◽  
Ana I. Marques ◽  
...  

2010 ◽  
Vol 24 (2) ◽  
pp. 126-130 ◽  
Author(s):  
Benjamin B. Cronk ◽  
David K. Johnson ◽  
Jeffrey M. Burns

Sign in / Sign up

Export Citation Format

Share Document