186,197 research outputs found
Increased thiamine intake may be required to maintain thiamine status during weight loss in patients with type 2 diabetes
No full textDuring weight loss, erythrocyte thiamine pyrophosphate (TPP) decreased (221 ± 52 to 195 ± 39 nmol/L, P < 0.05) on a diet with adequate thiamine (1.1 mg/day) but was unchanged (217 ± 55 vs 218 ± 52 nmol/L, NS) on a high thiamine diet (2.8 mg/day). Attention to thiamine status may be required in patients with diabetes after weight loss.Jennifer B. Keogh, X. Cleanthous, T.P. Wycherley, G.D. Brinkworth, M. Noakes, Peter M. Clifto
Welfare Effects of Pharmaceutical Informative Advertising
Get PDFPharmaceutical markets are characterized by a high degree of innovation, complexity and uncertainty, especially markets of idiosyncratic symptomatolgy and response to treatment such as the antidepressant market. It may, therefore, be unreasonable to assume that consumers are aware of all antidepressants for sale at the time of purchase, as is the case in traditional models of consumer choice. Such an assumption will bias demand curves towards being more elastic and the evaluation of consumer welfare downwards. This paper, therefore, aims at analyzing and evaluating the effects of promotions by pharmaceutical firms on patient welfare taking into account the interaction of multiple agents (patients, physicians, insurance companies and pharmaceutical companies) in the decision process. I present an empirical discrete-choice model of limited information, where advertising influences the set of drugs from which a purchase choice is made. The estimation technique incorporates both macro- and micro-level data. Estimation results indicate that pharmaceutical firms use advertising media to target high-income households and households with more comprehensive prescription drug insurance schemes through their physicians or directly. Model comparison shows that limited information leads to less elastic demand curves and larger estimates of patient welfare due to pharmaceutical innovation that exacerbate the moral hazard issue that coexists with insurance coverage.Advertising, Health, Information, Moral Hazard, Pharmaceuticals, Welfare
Weight loss maintenance in women 3 years after following a 12-week structured weight loss program
No full textCrown copyright © 2007 Published by Elsevier on behalf of the Asia Oceania Association for the Study of ObesitySummaryStructured weight loss programs such as those using meal replacements are associated with both short-term and long-term weight loss, but the effectiveness of structured weight loss programs using whole foods has not been established. The primary aim of the present study was to retrospectively establish self-reported weight status in women, 3 years after participation in a 12-week food based structured weight loss program monitored by dietitians. The secondary aim was to determine which factors were associated with successful weight loss maintenance. Eighty-five of the 100 participants who completed the 12-week program participated in an 18-question telephone interview which included self-reported weight. Weight loss from baseline was 3.8 (S.D. 5.5) kg (4.4 (S.D. 6.1) %) (P < 0.001). Overall, 61% of participants weighed less than at baseline, 13% had gained weight, and the remaining 26% had maintained their baseline weight. From baseline, 37 (44%) participants had a clinically important weight loss of ≥ 5%, and were, on average, 9.8 (S.D. 4.2) % lighter (P < 0.001). The remaining 48 (56%) participants (weight loss < 5%) were not significantly different to their weight at baseline (P = 0.77). We conclude that a food based structured weight loss program monitored by dietitians, as defined by this intervention, was associated with long-term weight loss maintenance.:Xenia Cleanthous, Manny Noakes, Jennifer B. Keogh, Philip Mohr and Peter M. Cliftonhttp://www.elsevier.com/wps/find/journaldescription.cws_home/707820/description#descriptio
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Timing of protein ingestion relative to resistance exercise training does not influence body composition, energy expenditure, glycaemic control or cardiometabolic risk factors in a hypocaloric, high protein diet in patients with type 2 diabetes
No full textAim: To investigate timing of protein ingestion relative to resistance exercise training (RT) on body composition, cardiometabolic risk factors, glycaemic control and resting energy expenditure (REE) during weight loss on a high-protein (HP) diet in overweight and obese patients with type 2 diabetes (T2DM).
Methods: Thirty-four men/women with T2DM (age 57 ± 7 years and body mass index 34.9 ± 4.2 kg m−2) were randomly assigned to the ingestion of a HP meal (860 kJ, 21 g protein, 0.7 g fat, 29.6 g carbohydrate) either immediately prior to RT or at least 2 h following RT. All participants followed a 16-week, energy-restricted (6-7 MJ day−1), HP diet (carbohydrate : protein : fat 43 : 33 : 22) and participated in supervised RT (3 day week−1). Outcomes were assessed pre- and postintervention at 16 weeks.
Results: There was an overall reduction in bodyweight (−11.9 ± 6.1 kg), fat mass (−10.0 ± 4.4 kg), fat-free mass (−1.9 ± 3.1 kg), waist circumference (−12.1 ± 5.3 cm), REE (−742 ± 624 kJ day−1), glucose (−1.9 ± 1.7 mmol l−1), insulin (−6.1 ± 6.7 mU l−1) and glycosylated haemoglobin (−1.1 ± 0.1%), p ≤ 0.01 time for all variables, with no difference between groups (p ≥ 0.41 group effect). Strength improved and cardiometabolic risk factors were reduced similarly in both groups; single repetition maximum chest press 11.0 ± 8.7 kg, single repetition maximum lat pull down 9.9 ± 6.0 kg, total cholesterol −0.6 ± 0.5 mmol l−1, high-density lipoprotein cholesterol −0.1 ± 0.2 mmol l−1, low-density lipoprotein cholesterol −0.3 ± 0.5 mmol l−1, triglycerides −0.6 ± 0.7 mmol l−1, blood pressure (systolic/diastolic) −13 ± 10/−7 ± 7 mmHg (p ≤ 0.04 time effect, p ≥ 0.24 group effect).
Conclusion: A HP, energy-restricted diet with RT was effective in improving glycaemic control, body composition, strength and cardiometabolic risk factors in overweight/obese patients with T2DM irrespective of altering the timing of protein ingestion relative to RT.T. P. Wycherley, M. Noakes, P. M. Clifton, X. Cleanthous, J. B. Keogh & G. D. Brinkwort
Nonparametric Bayesian modelling of longitudinally integrated covariance functions on spheres
No full textTaking into account axial symmetry in the covariance function of a Gaussian random field is essential when the purpose is modelling data defined over a large portion of the sphere representing our planet. Axially symmetric covariance functions admit a convoluted spectral representation that makes modelling and inference difficult. This motivates the interest in devising alternative strategies to attain axial symmetry, an appealing option being longitudinal integration of isotropic random fields on the sphere. This paper provides a comprehensive theoretical framework to model longitudinal integration on spheres through a nonparametric Bayesian approach. Longitudinally integrated covariances are treated as random objects, where the randomness is implied by the randomised spectrum associated with the covariance function. After investigating the topological support induced by our construction, we give the posterior distribution a thorough inspection. A Bayesian nonparametric model for the analysis of data defined on the sphere is described and implemented, its performance investigated by means of the analysis of both simulated and real data sets
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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