11 research outputs found
The effect of training in reduced energy density eating and food self-monitoring accuracy on weight loss maintenance
Background: Failure to maintain weight losses in lifestyle change programs continues to be a major problem and warrants investigation of innovative approaches to weight control.Objective: The goal of this study was to compare two novel group interventions, both aimed at improving weight loss maintenance, with a control group.Methods and Procedures: A total of 103 women lost weight on a meal replacement–supplemented diet and were then randomized to one of three conditions for the 14-week maintenance phase: cognitive-behavioral treatment (CBT); CBT with an enhanced food monitoring accuracy (EFMA) program; or these two interventions plus a reduced energy density eating (REDE) program. Assessments were conducted periodically through an 18-month postintervention. Outcome measures included weight and self-reported dietary intake. Data were analyzed using completers only as well as baseline-carried-forward imputation.Results: Participants lost an average of 7.6 plusminus 2.6 kg during the weight loss phase and 1.8 plusminus 2.3 kg during the maintenance phase. Results do not suggest that the EFMA intervention was successful in improving food monitoring accuracy. The REDE group decreased the energy density (ED) of their diets more so than the other two groups. However, neither the REDE nor the EFMA condition showed any advantage in weight loss maintenance. All groups regained weight between 6- and 18-month follow-ups.Discussion: Although no incremental weight maintenance benefit was observed in the EFMA or EFMA + REDE groups, the improvement in the ED of the REDE group\u27s diet, if shown to be sustainable in future studies, could have weight maintenance benefits.<br /
Multiple types of dieting prospectively predict weight gain during the freshman year of college.
The freshman year of college is a period of heightened risk for weight gain. This study examined measures of restrained eating, disinhibition, and emotional eating as predictors of weight gain during the freshman year. Using Lowe\u27s multi-factorial model of dieting, it also examined three different types of dieting as predictors of weight gain. Sixty-nine females were assessed at three points during the school year. Weight gain during the freshman year averaged 2.1 kg. None of the traditional self-report measures of restraint, disinhibition, or emotional eating were predictive of weight gain. However, both a history of weight loss dieting and weight suppression (discrepancy between highest weight ever and current weight) predicted greater weight gain, and these effects appeared to be largely independent of one another. Individuals who said they were currently dieting to lose weight gained twice as much (5.0 kg) as former dieters (2.5 kg) and three times as much as never dieters (1.6 kg), but the import of this finding was unclear because there was only a small number of current dieters (N=7). Overall the results indicate that specific subtypes of dieting predicts weight gain during the freshman year better than more global measures of restraint or overeating.<br /
A randomized trial examining differential meal replacement adherence in a weight loss maintenance program after one-year follow-up
The purpose of the present study was to examine the relationship between patterns of meal replacement (MR) adherence and changes in outcomes during a behaviorally-oriented weight loss program. Data from the present study are based on sixty female participants (age: 29–62 years, BMI: 27.99–37.50 kg/m2). Participants were randomized into either a control or experimental condition, which tested the use of MRs during weight loss maintenance. Outcome measures included body weight, depression, physical activity, cognitive restraint, disinhibition, hunger, and binge eating collected at four assessment points. Within the experimental condition, we further examined adherence to MRs and its relationship with the outcome measures. We found evidence of differences at baseline on some measures (e.g., weight, physical activity and depression) while on others (cognitive restraint, disinhibition, and hunger), differences that emerged over the course of treatment. Further research is necessary to determine if there are measures associated with successful MR use that can be detected at baseline and if MR adherence itself leads to changes in eating behavior
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Analysis of measurements of Saharan dust by airborne and ground-based remote sensing methods during the Puerto Rico Dust Experiment (PRIDE)
Journal of Geophysical Research, 108(D19), 8586The article of record as published may be located at http://dx.doi.org/10.1029/2002JD002493.For 26 days in mid-June and July 2000, a research group comprised of U.S. Navy,
NASA, and university scientists conducted the Puerto Rico Dust Experiment (PRIDE).
In this paper we give a brief overview of mean meteorological conditions during the
study. We focus on our findings on African dust transported into the Caribbean
utilizing a Navajo aircraft and AERONET Sun photometer data. During the study
midvisible aerosol optical thickness (AOT) in Puerto Rico averaged 0.25, with a
maximum >0.5 and with clean marine periods of 0.08. Dust AOTs near the coast of
Africa (Cape Verde Islands and Dakar) averaged 0.4, 30% less than previous years.
By analyzing dust vertical profiles in addition to supplemental meteorology and
MPLNET lidar data we found that dust transport cannot be easily categorized into any
particular conceptual model. Toward the end of the study period, the vertical
distribution of dust was similar to the commonly assumed Saharan Air Layer (SAL)
transport. During the early periods of the study, dust had the highest concentrations in
the marine and convective boundary layers with only a weak dust layer in the
SAL being present, a state usually associated with wintertime transport patterns. We
corroborate the findings of Maring et al. [2003] that in most cases, there was an
unexpected lack of vertical stratification of dust particle size. We systematically
analyze processes that may impact dust vertical distribution and speculate that dust
vertical distribution predominately influenced by flow patterns over Africa and
differential advection coupled with fair weather cloud entrainment, mixing by easterly
waves, and regional subsidence