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1.
Obesity (Silver Spring) ; 25(11): 1988-1996, 2017 11.
Article in English | MEDLINE | ID: mdl-28940996

ABSTRACT

OBJECTIVE: The aim of this study was to prospectively investigate the potential effects of alcohol by subtype on reported long-term weight change. METHODS: This study examined changes in alcohol intake (total, wine, light beer, regular beer, and liquor) and simultaneous changes in reported body weight within 4-year periods from 1986 to 2010 from US men in the Health Professionals Follow-Up Study. The study adjusted for age, changes in lifestyle and dietary covariates, and cardiovascular risk factors. RESULTS: The study included observations of 44,603 four-year periods from 14,971 men. Total alcohol, total beer, regular beer, and liquor intakes, modeled as the increase in weight per increase in drinks per day, were each directly associated with moderate weight gain over the 4-year periods, in pounds: total alcohol: 0.23 (0.10 to 0.35); total beer: 0.29 (0.08 to 0.51); regular beer: 0.61 (0.22 to 1.00); and liquor: 0.28 (0.09 to 0.48). Results for wine and light beer were as follows: wine: 0.16 (-0.04 to 0.36) and light beer: -0.38 (-1.07 to 0.08). Results were strongest for men < 55 years old. CONCLUSIONS: Increased alcohol consumption was associated with minor reported weight gain at levels unlikely to be clinically meaningful. Beverage-specific differences were not substantial enough to make dietary recommendations for weight loss or maintenance by beverage type. The greatest risk of weight gain was among men who increased consumption to levels well above moderation.


Subject(s)
Alcohol Drinking/adverse effects , Weight Gain/drug effects , Adult , Aged , Cohort Studies , Follow-Up Studies , Humans , Male , Middle Aged , Risk Factors , United States
3.
Int J Behav Nutr Phys Act ; 13: 67, 2016 Jun 14.
Article in English | MEDLINE | ID: mdl-27297426

ABSTRACT

BACKGROUND: Dietary intervention success requires strong participant adherence, but very few studies have examined factors related to both short-term and long-term adherence. A better understanding of predictors of adherence is necessary to improve the design and execution of dietary intervention trials. This study was designed to identify participant characteristics at baseline and study features that predict short-term and long-term adherence with interventions promoting the Mediterranean-type diet (MedDiet) in the PREvención con DIeta MEDiterránea (PREDIMED) randomized trial. METHODS: Analyses included men and women living in Spain aged 55-80 at high risk for cardiovascular disease. Participants were randomized to the MedDiet supplemented with either complementary extra-virgin olive oil (EVOO) or tree nuts. The control group and participants with insufficient information on adherence were excluded. PREDIMED began in 2003 and ended in 2010. Investigators assessed covariates at baseline and dietary information was updated yearly throughout follow-up. Adherence was measured with a validated 14-point Mediterranean-type diet adherence score. Logistic regression was used to examine associations between baseline characteristics and adherence at one and four years of follow-up. RESULTS: Participants were randomized to the MedDiet supplemented with EVOO (n = 2,543; 1,962 after exclusions) or tree nuts (n = 2,454; 2,236 after exclusions). A higher number of cardiovascular risk factors, larger waist circumference, lower physical activity levels, lower total energy intake, poorer baseline adherence to the 14-point adherence score, and allocation to MedDiet + EVOO each independently predicted poorer adherence. Participants from PREDIMED recruiting centers with a higher total workload (measured as total number of persons-years of follow-up) achieved better adherence. No adverse events or side effects were reported. CONCLUSIONS: To maximize dietary adherence in dietary interventions, additional efforts to promote adherence should be used for participants with lower baseline adherence to the intended diet and poorer health status. The design of multicenter nutrition trials should prioritize few large centers with more participants in each, rather than many small centers. TRIAL REGISTRATION: This study was registered at controlled-trials.com (http://www.controlled-trials. com/ISRCTN35739639). International Standard Randomized Controlled Trial Number (ISRCTN): 35739639. Registration date: 5 October 2005. TRIAL DESIGN: parallel randomized trial.


Subject(s)
Cardiovascular Diseases , Diet, Mediterranean , Feeding Behavior , Health Behavior , Patient Compliance , Aged , Cardiovascular Diseases/etiology , Energy Intake , Exercise , Female , Health Promotion , Humans , Logistic Models , Male , Middle Aged , Nuts , Olive Oil , Risk Factors , Spain , Waist Circumference
4.
J Natl Cancer Inst ; 108(3)2016 Mar.
Article in English | MEDLINE | ID: mdl-26577654

ABSTRACT

BACKGROUND: Several lifestyle factors have been associated with risk of lethal prostate cancer, but little is known about their combined effect. Our objective was to develop and apply a lifestyle score for prevention of lethal prostate cancer. METHODS: We developed a lifestyle score among 42 701 men in the Health Professionals Follow-up Study (HPFS) followed from 1986 to 2010 and applied it among 20 324 men in the Physicians' Health Study (PHS) followed from 1982 to 2010. One point was given for each of: not currently smoking or quit 10 or more years ago, body mass index under 30 kg/m(2), high vigorous physical activity, high intake of tomatoes and fatty fish, and low intake of processed meat. Diet-only scores (range = 0-3) and total scores (range = 0-6) were calculated. We used multivariable Cox proportional hazards regression to estimate the risk of lethal prostate cancer, adjusting for potential risk factors of lethal prostate cancer. All statistical tests were two-sided. RESULTS: We observed 576 lethal prostate cancer events in HPFS and 337 in PHS. Men with 5-6 vs 0-1 points had a 68% decreased risk of lethal prostate cancer (hazard ratio [HR] = 0.32, 95% confidence interval [CI] = 0.19 to 0.52) in HPFS and a non-statistically significant 38% decreased risk (HR = 0.62, 95% CI = 0.30 to 1.26) in PHS. For dietary factors only, men with 3 vs 0 points had a 46% decreased risk (HR = 0.54, 95% CI = 0.30 to 0.96) in the HPFS and a non-statistically significant 30% decreased risk (HR = 0.70, 95% CI = 0.40 to 1.23) in PHS. CONCLUSIONS: Adhering to a healthy lifestyle, defined by not smoking, normal body weight, high physical activity, and a healthy diet, may lower risk of lethal prostate cancer.


Subject(s)
Body Mass Index , Feeding Behavior , Life Style , Motor Activity , Prostatic Neoplasms/epidemiology , Prostatic Neoplasms/prevention & control , Risk Reduction Behavior , Smoking , Adult , Aged , Aged, 80 and over , Animals , Fishes , Humans , Incidence , Solanum lycopersicum , Male , Meat Products , Middle Aged , Odds Ratio , Proportional Hazards Models , Prostatic Neoplasms/mortality , Risk Assessment , Risk Factors , Self Report , Smoking/epidemiology , United States/epidemiology
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