5 resultados para average weight gain
em Aston University Research Archive
Resumo:
OBJECTIVE. Our objective with this study was to examine whether observed maternal control during feeding at 6 months of age moderates the development of early infant weight gain during the first year of life. METHODS. Sixty-nine women were observed feeding their 6-month-old infants during a standard meal. Mealtimes were coded for maternal use of controlling feeding behavior. All infants were weighed at birth and at 6 and 12 months of age, and weight gain was calculated from birth to 6 months and from 6 to 12 months. Weight scores and weight gain scores were standardized for prematurity, age, and gender. RESULTS. Infant weight gain between 6 and 12 months of age was predicted by an interaction between early infant weight gain (birth to 6 months) and observed maternal control during feeding at 6 months. When maternal control was moderate or low, there was a significant interaction with weight gain from birth to 6 months in the prediction of later infant weight gain from 6 to 12 months, such that infants who showed slow early weight gain accelerated in their subsequent weight gain, and those with greater early weight gain decelerated. Conversely, when maternal control was high, infant weight gain followed the opposite pattern. CONCLUSION. Maternal control of solid feeding can moderate infant weight gain.
Resumo:
Aim: N-3 fatty acids, especially eicosapentaenoic acid (EPA), may possess anticachectic properties. This trial compared a protein and energy dense supplement enriched with n-3 fatty acids and antioxidants (experimental: E) with an isocaloric isonitrogenous control supplement (C) for their effects on weight, lean body mass (LBM), dietary intake, and quality of life in cachectic patients with advanced pancreatic cancer. Methods: A total of 200 patients (95 E; 105 C) were randomised to consume two cans/day of the E or C supplement (480 ml, 620 kcal, 32 g protein ± 2.2 g EPA) for eight weeks in a multicentre, randomised, double blind trial. Results: At enrolment, patients' mean rate of weight loss was 3.3 kg/month. Intake of the supplements (E or C) was below the recommended dose (2 cans/day) and averaged 1.4 cans/day. Over eight weeks, patients in both groups stopped losing weight (Δweight E: -0.25 kg/month versus C: -0.37 kg/month; p=0.74) and LBM (ΔLBM E: +0.27 kg/month versus C: +0.12 kg/month; p=0.88) to an equal degree (change from baseline E and C, p<0.001). In view of evident non-compliance in both E and C groups, correlation analyses were undertaken to examine for potential dose-response relationships. E patients demonstrated significant correlations between their supplement intake and weight gain (r=0.50, p<0.001) and increase in LBM (r=0.33, p=0.036). Such correlations were not statistically significant in C patients. The relationship of supplement intake with change in LBM was significantly different between E and C patients (p=0.043). Increased plasma EPA levels in the E group were associated with weight and LBM gain (r=0.50, p<0.001; r=0.51, p=0.001). Weight gain was associated with improved quality of life (p<0.01) only in the E group. Conclusion: Intention to treat group comparisons indicated that at the mean dose taken, enrichment with n-3 fatty acids did not provide a therapeutic advantage and that both supplements were equally effective in arresting weight loss. Post hoc dose-response analysis suggests that if taken in sufficient quantity, only the n-3 fatty acid enriched energy and protein dense supplement results in net gain of weight, lean tissue, and improved quality of life. Further trials are required to examine the potential role of n-3 enriched supplements in the treatment of cancer cachexia.
Resumo:
Atrophy of skeletal muscle is common in patients with cancer and results in increased morbidity and mortality. In order to design effective therapy the mechanism by which this occurs needs to be elucidated. Most studies suggest that the ubiquitin-proteasome proteolytic pathway is most important in intracellular proteolysis, although there have been no reports on the activity of this pathway in patients with different extents of weight loss. In this report the expression of the ubiquitin-proteasome pathway in rectus abdominis muscle has been determined in cancer patients with weight loss of 0-34% using a competitive reverse transcriptase polymerase chain reaction to measure expression of mRNA for proteasome subunits C2 and C5, while protein expression has been determined by western blotting. Overall, both C2 and C5 gene expression was increased by about three-fold in skeletal muscle of cachectic cancer patients (average weight loss 14.5 ± 2.5%), compared with that in patients without weight loss, with or without cancer. The level of gene expression was dependent on the amount of weight loss, increasing maximally for both proteasome subunits in patients with weight loss of 12-19%. Further increases in weight loss reduced expression of mRNA for both proteasome subunits, although it was still elevated in comparison with patients with no weight loss. There was no evidence for an increase in expression at weight losses less than 10%. There was a good correlation between expression of proteasome 20Sα subunits, detected by western blotting, and C2 and C5 mRNA, showing that increased gene expression resulted in increased protein synthesis. Expression of the ubiquitin conjugating enzyme, E214k, with weight loss followed a similar pattern to that of proteasome subunits. These results suggest variations in the expression of key components of the ubiquitin-proteasome pathway with weight loss of cancer patients, and suggest that another mechanism of protein degradation must be operative for patients with weight loss less than 10%. © 2004 Elsevier Ltd. All rights reserved.
Resumo:
The majority of studies of the effects of environmental factors on lichen growth have been carried out in the field. Growth of lichens in the field has been measured as absolute growth rate (e.g., length growth, radial growth, diameter growth, area growth, or dry weight gain per unit of time) or as a relative growth rate, expressed per unit of thallus area or weight, e.g., thallus specific weight. Seasonal fluctuations in growth in the field often correlate best with changes in average or total rainfall or frequency of rain events through the year. In some regions of the world, temperature is also an important climatic factor influencing growth. Interactions between microclimatic factors such as light intensity, temperature, and moisture are particularly important in determining local differences in growth especially in relation to aspect and slope of rock surface, or height on a tree. Factors associated with the substratum including type, chemistry, texture, and porosity can all influence growth. In addition, growth can be influenced by the degree of nutrient enrichment of the substratum associated with bird droppings, nitrogen, phosphate, salinity, or pollution. Effects of environmental factors on growth can act directly to restrict species distribution or indirectly by altering the competitive balance among different species in a community.
Resumo:
Aims: Specialist lifestyle management (SLiM) is a medically supported dietetically led structured group education and self-management programme focusing on weight management. Obese patients with Type 2 diabetes are perceived to find it more difficult to lose weight compared with those without diabetes. We aimed to compare the weight loss achieved by obese patients with or without Type 2 diabetes completing the SLiM programme. Methods: A prospective analysis of patients attending SLiM between 2009 and 2013 was conducted. Results: There were 454 obese patients (mean age 49.1 ± 11.6years, women 72.5%, body mass index 49.8 ± 9.3kg/m2, weight137.3 ± 28kg). 152/454 patients (33%) had Type 2 diabetes of which 31 (20.4%) were insulin treated. Patients with Type 2diabetes were older (52.4 ± 11.3 vs 47.5 ± 11.4 years, p < 0.001). SLiM resulted in significant weight loss in patients with (136.5 ± 27 vs 130.2 ± 25.3, p < 0.001) or without (137.6 ± 29 vs 132.6 ± 28.4, p < 0.001) Type 2 diabetes. Weight loss was comparable between patients with and without Type 2 diabetes (6.1 ± 7.9 vs5.1 ± 7kg, p = 0.2). The proportion of patients achieving ≥ 10%weight loss was similar between patients with and without Type 2diabetes (10.5% vs 9.9%, p = 0.4). Insulin-treated patients lost similar weight to those not treated with insulin (6.3 ± 9.4 vs 6.1 ± 7.6kg, p = 0.9). After adjustment for age, sex, referral weight and medications, Type 2 diabetes did not predict weight change during the SLiM programme (b = 0.3, p = 0.5). Conclusions: Attending the SLiM groups produces a significant weight loss in patients with Type 2 diabetes which is comparable to those without Type 2 diabetes. Insulin-treated patients lost similar weight to those not on insulin. Weight gain with Type 2 diabetes and insulin treatment is not ‘unavoidable’ if patients receive the appropriate support and education.