Christina L Bell1, Taina Rantanen2, Randi Chen3, James Davis4, Helen Petrovitch5, G Webster Ross5, Kamal Masaki6. 1. The John A. Hartford Center of Excellence in Geriatrics, Department of Geriatric Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI. Electronic address: bellcl@hawaii.edu. 2. Department of Health Sciences and Gerontology Research Centre, University of Jyvaskyla, Jyvaskyla, Finland. 3. Kuakini Medical Center, Honolulu, HI. 4. Clinical Research Program, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI. 5. The John A. Hartford Center of Excellence in Geriatrics, Department of Geriatric Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI; Veterans Affairs Pacific Islands Health Care System, Honolulu, HI; Pacific Health Research and Education Institute, Honolulu, HI. 6. The John A. Hartford Center of Excellence in Geriatrics, Department of Geriatric Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI; Kuakini Medical Center, Honolulu, HI.
Abstract
OBJECTIVE: To examine baseline prestroke weight loss and poststroke mortality among men. DESIGN: Longitudinal study of late-life prestroke body mass index (BMI), weight loss, and BMI change (midlife to late life) with up to 8-year incident stroke and mortality follow-up. SETTING: Community-based aging study data. PARTICIPANTS: Japanese-American men (N=3581; age range, 71-93y) who were stroke free at baseline. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Poststroke mortality: 30 days poststroke, analyzed with stepwise multivariable logistic regression; and long-term poststroke (up to 8y), analyzed with stepwise multivariable Cox regression. RESULTS: Weight loss (4.5kg decrements) was associated with increased 30-day poststroke mortality (adjusted odds ratio=1.48; 95% confidence interval [CI], 1.14-1.92), long-term mortality after incident stroke (all types, n=225; adjusted hazards ratio (aHR)=1.25; 95% CI, 1.09-1.44), and long-term mortality after incident thromboembolic stroke (n=153; aHR=1.19; 95% CI, 1.01 to 1.40). Men with overweight/obese late-life BMI (≥25kg/m(2), compared with healthy/underweight BMI) had increased long-term mortality after incident hemorrhagic stroke (n=54; aHR=2.27; 95% CI, 1.07-4.82). Neither desirable nor excessive BMI reductions (vs no change/increased BMI) were associated with poststroke mortality. In the overall sample (N=3581), nutrition factors associated with increased long-term mortality included the following: (1) weight loss (10lb decrements; aHR=1.15; 95% CI, 1.09-1.21), (2) underweight BMI (vs healthy BMI; aHR=1.76; 95% CI, 1.40-2.20), and (3) both desirable and excessive BMI reductions (vs no change or gain, separate model from weight loss and BMI; aHR range, 1.36-1.97; P<.001). CONCLUSIONS: Although obesity is a risk factor for stroke incidence, prestroke weight loss was associated with increased poststroke (all types and thromboembolic) mortality. Overweight/obese late-life BMI was associated with increased posthemorrhagic stroke mortality. Desirable and excessive BMI reductions were not associated with poststroke mortality. Weight loss, underweight late-life BMI, and any BMI reduction were all associated with increased long-term mortality in the overall sample.
OBJECTIVE: To examine baseline prestroke weight loss and poststroke mortality among men. DESIGN: Longitudinal study of late-life prestroke body mass index (BMI), weight loss, and BMI change (midlife to late life) with up to 8-year incident stroke and mortality follow-up. SETTING: Community-based aging study data. PARTICIPANTS: Japanese-American men (N=3581; age range, 71-93y) who were stroke free at baseline. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Poststroke mortality: 30 days poststroke, analyzed with stepwise multivariable logistic regression; and long-term poststroke (up to 8y), analyzed with stepwise multivariable Cox regression. RESULTS:Weight loss (4.5kg decrements) was associated with increased 30-day poststroke mortality (adjusted odds ratio=1.48; 95% confidence interval [CI], 1.14-1.92), long-term mortality after incident stroke (all types, n=225; adjusted hazards ratio (aHR)=1.25; 95% CI, 1.09-1.44), and long-term mortality after incident thromboembolic stroke (n=153; aHR=1.19; 95% CI, 1.01 to 1.40). Men with overweight/obese late-life BMI (≥25kg/m(2), compared with healthy/underweight BMI) had increased long-term mortality after incident hemorrhagic stroke (n=54; aHR=2.27; 95% CI, 1.07-4.82). Neither desirable nor excessive BMI reductions (vs no change/increased BMI) were associated with poststroke mortality. In the overall sample (N=3581), nutrition factors associated with increased long-term mortality included the following: (1) weight loss (10lb decrements; aHR=1.15; 95% CI, 1.09-1.21), (2) underweight BMI (vs healthy BMI; aHR=1.76; 95% CI, 1.40-2.20), and (3) both desirable and excessive BMI reductions (vs no change or gain, separate model from weight loss and BMI; aHR range, 1.36-1.97; P<.001). CONCLUSIONS: Although obesity is a risk factor for stroke incidence, prestroke weight loss was associated with increased poststroke (all types and thromboembolic) mortality. Overweight/obese late-life BMI was associated with increased posthemorrhagic stroke mortality. Desirable and excessive BMI reductions were not associated with poststroke mortality. Weight loss, underweight late-life BMI, and any BMI reduction were all associated with increased long-term mortality in the overall sample.
Authors: L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie Journal: J Gerontol A Biol Sci Med Sci Date: 2001-03 Impact factor: 6.053
Authors: Anne B Newman; Alice M Arnold; Barbara L Naydeck; Linda P Fried; Gregory L Burke; Paul Enright; John Gottdiener; Calvin Hirsch; Daniel O'Leary; Russell Tracy Journal: Arch Intern Med Date: 2003-10-27
Authors: Hugo J Aparicio; Jayandra J Himali; Alexa S Beiser; Kendra L Davis-Plourde; Ramachandran S Vasan; Carlos S Kase; Philip A Wolf; Sudha Seshadri Journal: J Am Heart Assoc Date: 2017-06-24 Impact factor: 5.501