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1.
Int J Obes (Lond) ; 38(4): 603-9, 2014 Apr.
Article in English | MEDLINE | ID: mdl-23867782

ABSTRACT

BACKGROUND: Evidence is mixed regarding sugar-sweetened beverage (SSB) intake and adiposity among adults, perhaps because of reporting bias. OBJECTIVE: The objective of this study is to determine the impact of reporting bias on any associations between increased SSB intake and overweight/obesity. DESIGN: Beverage intake and overweight/obese status (body mass index ≥ 25 kg m(-2)) were examined among adults from a dietary assessment and doubly labeled water study (n=250). Four web-based, 24-h recalls assessed dietary intake. SSB intake was categorized as no intake, 1-99 kcals per day and >99 kcals per day. Logistic regression models adjusted for total caloric intake, age, race, education and diet quality compared SSB intake with overweight/obese status. To investigate dietary self-reporting bias, analyses were replicated in a subset of 'true reporters': those with self-reported total caloric intake within 25% of total energy expenditure per doubly labeled water assessments (n=108). RESULTS: One-half of participants were overweight/obese; more overweight/obese participants consumed SSB than normal-weight participants (69% vs 47%; P<0.001). Intake of other beverages did not differ by adiposity. Less number of White participants (48%) consumed SSB compared with African-American participants (68%; P=0.002). Compared with no intake, SSB intake up to the median intake doubled the risk of being overweight/obese (odds ratio: 2.1, 95% confidence interval: 1.0-4.3; P=0.046) and SSB intake over the median more than doubled the risk (odds ratio: 2.6, 95% confidence interval: 1.2-6.0; P=0.018). When limited to true reporters, SSB intake significantly increased the risk of being overweight/obese by nearly fourfold. CONCLUSION: Underreporting of SSB intake may be attenuating true associations of SSB intake and the risk of being overweight/obese.


Subject(s)
Black or African American/statistics & numerical data , Carbonated Beverages , Dietary Sucrose/adverse effects , Obesity/etiology , Water , White People/statistics & numerical data , Adult , Aged , Body Mass Index , Carbonated Beverages/adverse effects , Cross-Sectional Studies , Energy Intake , Energy Metabolism , Feeding Behavior , Female , Humans , Male , Middle Aged , Nutrition Surveys , Obesity/epidemiology , Obesity/prevention & control , Risk Factors , Socioeconomic Factors , United States
2.
Int J Obes (Lond) ; 31(12): 1859-63, 2007 Dec.
Article in English | MEDLINE | ID: mdl-17684509

ABSTRACT

BACKGROUND: The mechanisms underlying food choices are complex and involve neuroendocrine and biochemical signaling. Among neuroendocrine signals, leptin may play a prominent role in food preference. OBJECTIVE: This study was designed to obtain an understanding of the effects of leptin replacement on macro- and micronutrient preferences in leptin-deficient adults. DESIGN: We studied the effects of leptin replacement on three adults with genetic leptin deficiency during the initial 12 months of treatment. Dietary intake was measured in our study by weighed food consumption records. Nutrient intake was calculated using a nutrition analysis software. RESULTS: After leptin replacement was started, all patients had initially a marked reduction in food intake. The reduction in caloric intake differentially affected intake of macro- and micronutrients. There was an initial shift toward a higher percentage consumption of fats and a decrease in the intake of carbohydrates. Significant differences also occurred in 7 distinct types of macronutrients, 12 vitamins, 11 minerals and 1 amino acid. CONCLUSIONS: We documented several specific leptin-induced changes in macro- and micronutrients intake during the course of leptin-replacement treatment, the majority of which were not related to the decrease in total caloric consumption.


Subject(s)
Dietary Carbohydrates/administration & dosage , Dietary Fats/administration & dosage , Dietary Proteins/administration & dosage , Food Preferences/physiology , Leptin/deficiency , Micronutrients/administration & dosage , Analysis of Variance , Diet Records , Energy Intake , Female , Humans , Leptin/genetics , Leptin/metabolism , Male , Nutritive Value , Satiation/drug effects , Time Factors
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