573 research outputs found

    Faktor-faktor Pengolahan Dan Komposisi Bahan Yang Mempengaruhi Citarasa "Off Flavour" Formula Tempe

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    PROCESSING FACTORS AND INGREDIENTS CONTRIBUTED IN TEMPE FORMULA'S OFF FLAVOUR.Background: Tempe Formula is processed food with tempe as the main ingredient. was previously formulated as infant formula and under five years children formula who have diarrhea problem. In later researches, tempe Fromula was found to be efective to increase nutritional satatus of severe malnourished children, to cure gastrointestinal infection of 6-24 months children, and had benefit to repair dislipldemia in adults and bone reformation of pre and post menopause women. However, this formula had off flavour that limit Its utilization. Methods: The design is laboratory experiment. The type of research is explorative. The panelist is trained panelist.Results: The result shows that off flavour component identified were beany odour, moldy odour, tangy taste and bitter taste. Tempe processing with half boiled of soybean and steam sterilization with traditional starter of mixed innoculum gave the best sensori quality. Less intensity of beany flavour and bitter taste were gained by improving the composition of palm oil and sesame oil with composition 1:1. The additon of mocca and milk flavours also reduced the beany odour of the formula. Conclusion: Improved tempe formula was determined to have higher intensity of sweetness, less intensity of saltyness, bitemess and tangy taste, and less beany, rancid, and moldy odours than original formula

    Kualitas Beberapa Telur Bermerek Khusus Dibandingkan Dengan Telur Ayam Ras Dan Buras

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    Quality of Branded Eggs as Compared to Layer and Domestic Chicken Eggs.Many branded eggs found in the market claimed as low in cholesterol (Low Cholesterol Egg, Golden Egg), or claimed as high in omega-3 fatty acid content (Omega-3 Egg), besides common domestic and layer chicken eggs. This brand trend attracted the consumer to buy. Nonetheless, there is a need to evaluate further on the quality they claimed besides the physical quality. The evaluation was done regarded of those 5 types of eggs on their outer measurements (shape abnormalities, size indexes, shell thickness); and inner measurements (Haugh Units, yolk color score). The results indicated that all egg types had normal appearance with size indexes of 1.24-1.38. The Haugh Units was arround 28.7-67.3 and yolk color score was arround 5.0-13.3. Based on those results, the zerro week marketed eggs (Group I) clasified as A quality and the one week marketed eggs (Group II) were B quality. The data on chemical analyses indicated that the omega-3 fatty acid content was significantly the highest (p<0.05) in Omega-3 egg, while the cholesterol content was \u27similar in all types of eggs. The easiest way to judge the quality are from the shape and size of the eggs. Those have to be in normal shape and uniform size. While the claimed on low cholesterol content is not proven

    Cost-Effectiveness Findings from the Agewell Pilot Study of Behaviour Change to Promote Health and Wellbeing in Later Life.

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    Background: Participation in cognitive and physical activities may help to maintain health and wellbeing in older people. The Agewell study explored the feasibility of increasing cognitive and physical activity in older people through a goal-setting approach. This paper describes the findings of the cost-effectiveness analysis. Method: Individuals over the age of 50 and attending an Agewell centre in North Wales were randomised to one of three conditions: control (IC), goal-setting (GS), or goal-setting with mentoring (GM). We undertook a cost-effectiveness analysis comparing GS vs. IC, GM vs. IC and GM vs. GS. The primary outcome measure for this analysis was the QALY, calculated using the EQ-5D. Participants’ health and social care contacts were recorded and costed using national unit costs. Results: Seventy participants were followed-up at 12 months. Intervention set up and delivery costs were £252 per participant in the GS arm and £269 per participant in the GM arm. Mean health and social care costs over 12 months were £1,240 (s.d. £3,496) per participant in the IC arm, £1,259 (s.d. £3,826) per participant in the GS arm and £1,164 (s.d. £2,312) per participant in the GM arm. At a willingness to pay threshold of £20,000 per QALY there was a 65% probability that GS was cost-effective compared to IC (ICER of £1,070). However, there was only a 41% probability that GM was cost-effective compared to IC (ICER of £2,830) at a threshold of £20,000 per QALY. Conclusion: Setting up and running the community based intervention was feasible. Due to the small sample size it is not possible to draw a firm conclusion about cost-effectiveness; however, our preliminary results suggest that goal- setting is likely to be cost-effective compared to the control condition of no goal-setting, the addition of mentoring was effective but not cost-effective.Lifelong Health and Well-being Programme through the Medical Research Counci

    Promotion of healthy aging within a community center through behavior change: health and fitness findings from the AgeWell pilot randomized controlled trial

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    The purpose of this randomized controlled trial was to determine if behavior change through individual goal setting (GS) could promote healthy aging, including health and fitness benefits in older adults who attended a community “AgeWell” Center for 12 months. Seventy-five older adults were randomly allocated to either a control or a GS group. Health outcomes were measured at baseline and after 12 months of the participants’ having access to the exception of Agewell Center facilities. The findings demonstrate that participation in the Center in itself was beneficial, with improved body composition and reduced cardiovascular risk in both groups (p < .05), and that this kind of community-based resource offers valuable potential for promoting protective behaviors and reducing health risk. However, a specific focus on identifying individual behavior change goals was required in order to achieve increased activity engagement (p < .05) and to bring about more substantial improvements in a range of health, diet, and physical function measures (p < .05)

    Small Ubiquitin-like Modifier protein SUMO enables plants to control growth independently of the phytohormone gibberellin

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    Plants survive adverse conditions by modulating their growth in response to a changing environment. Gibberellins (GAs) play a key role in these adaptive responses by stimulating the degradation of growth-repressing DELLA proteins. GA binding to its receptor GID1 enables association of GID1 with DELLAs. This leads to the ubiquitin-mediated proteasomal degradation of DELLAs and consequently growth promotion. We report that DELLA-dependent growth control can be regulated independently of GA. We demonstrate that when a proportion of DELLAs is conjugated to the Small Ubiquitin-like Modifier (SUMO) protein, the extent of conjugation increases during stress. We identify a SUMO-interacting motif in GID1 and demonstrate that SUMO-conjugated DELLA binds to this motif in a GA-independent manner. The consequent sequestration of GID1 by SUMO-conjugated DELLAs leads to an accumulation of non-SUMOylated DELLAs, resulting in beneficial growth restraint during stress. We conclude that plants have developed a GA-independent mechanism to control growth

    Cost-effectiveness findings from the Agewell pilot study of behaviour change to promote health and wellbeing in later life

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    Background: Participation in cognitive and physical activities may help to maintain health and wellbeing in older people. The Agewell study explored the feasibility of increasing cognitive and physical activity in older people through a goal-setting approach. This paper describes the findings of the cost-effectiveness analysis.Method: Individuals over the age of 50 and attending an Agewell centre in North Wales were randomised to one of three conditions: control (IC), goal-setting (GS), or goal-setting with mentoring (GM). We undertook a cost-effectiveness analysis comparing GS vs. IC, GM vs. IC and GM vs. GS. The primary outcome measure for this analysis was the QALY, calculated using the EQ-5D. Participants’ health and social care contacts were recorded and costed using national unit costs.Results: Seventy participants were followed-up at 12 months. Intervention set up and delivery costs were £252 per participant in the GS arm and £269 per participant in the GM arm. Mean health and social care costs over 12 months were £1,240 (s.d. £3,496) per participant in the IC arm, £1,259 (s.d. £3,826) per participant in the GS arm and £1,164 (s.d. £2,312) per participant in the GM arm. At a willingness to pay threshold of £20,000 per QALY there was a 65% probability that GS was cost-effective compared to IC (ICER of £1,070). However, there was only a 41% probability that GM was cost-effective compared to IC (ICER of £2,830) at a threshold of £20,000 per QALY.Conclusion: Setting up and running the community based intervention was feasible. Due to the small sample size it is not possible to draw a firm conclusion about cost-effectiveness; however, our preliminary results suggest that goalsetting is likely to be cost-effective compared to the control condition of no goal-setting, the addition of mentoring was effective but not cost-effective

    The Agewell trial: a pilot randomised controlled trial of a behaviour change intervention to promote healthy ageing and reduce risk of dementia in later life.

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    This is the final version of the article. Available from BioMed Central via the DOI in this record.BACKGROUND: Lifestyle factors represent prime targets for behaviour change interventions to promote healthy ageing and reduce dementia risk. We evaluated a goal-setting intervention aimed at promoting increased cognitive and physical activity and improving mental and physical fitness, diet and health. METHODS: This was a pilot randomised controlled trial designed to guide planning for a larger-scale investigation, provide preliminary evidence regarding efficacy, and explore feasibility and acceptability. Primary outcomes were engagement in physical and cognitive activity. Participants aged over 50 living independently in the community were recruited through a community Agewell Centre. Following baseline assessment participants were randomly allocated to one of three conditions: control (IC) had an interview in which information about activities and health was discussed; goal-setting (GS n = 24) had an interview in which they set behaviour change goals relating to physical, cognitive and social activity, health and nutrition; and goal-setting with mentoring (GM, n = 24) had the goal-setting interview followed by bi-monthly telephone mentoring. Participants and researchers were blinded to group assignment. Participants were reassessed after 12 months. RESULTS: Seventy-five participants were randomised (IC n = 27, GS n = 24, GM n = 24). At 12-month follow-up, the two goal-setting groups, taken together (GS n = 21, GM n = 22), increased their level of physical (effect size 0.37) and cognitive (effect size 0.15) activity relative to controls (IC n = 27). In secondary outcomes, the two goal-setting groups taken together achieved additional benefits compared to control (effect sizes ≥ 0.2) in memory, executive function, cholesterol level, aerobic capacity, flexibility, balance, grip strength, and agility. Adding follow-up mentoring produced further benefits compared to goal-setting alone (effect sizes ≥ 0.2) in physical activity, body composition, global cognition and memory, but not in other domains. Implementation of the recruitment procedure, assessment and intervention was found to be feasible and the approach taken was acceptable to participants, with no adverse effects. CONCLUSIONS: A brief, low-cost goal-setting intervention is feasible and acceptable, and has the potential to achieve increased activity engagement. TRIAL REGISTRATION: Current Controlled Trials ISRCTN30080637.This trial was funded by Medical Research Council grant G1001888/1 to LC, JVH, IRJ, JT and CJW. The funding body played no role in the design of the study, in collection, analysis and interpretation of data, in the writing of the manuscript, or in the decision to submit the manuscript for publication. We acknowledge the support of Age Cymru Gwynedd a Môn including John Clifford Jones, Maldwyn Roberts, Stephen Williams and Mici Plwm. We would like to thank Sharman Harris and Catrin Searell, Department of Clinical Chemistry, Ysbyty Gwynedd, Bangor, the volunteers at the Nefyn Agewell Centre, and all the members of the Nefyn Agewell Centre, and especially all those who took part in the research project. We are grateful to Professor Carol Brayne, Cambridge University, Professor Martin Knapp, London School of Economics, Professor Mike Martin, Zürich University, and Professor Robin Morris, King’s College London Institute of Psychiatry, who acted as external advisors to the project. Special thanks go to Andrew Brand for statistical advice

    Spirometry reference equations for central European populations from school age to old age.

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    Spirometry reference values are important for the interpretation of spirometry results. Reference values should be updated regularly, derived from a population as similar to the population for which they are to be used and span across all ages. Such spirometry reference equations are currently lacking for central European populations. To develop spirometry reference equations for central European populations between 8 and 90 years of age. We used data collected between January 1993 and December 2010 from a central European population. The data was modelled using "Generalized Additive Models for Location, Scale and Shape" (GAMLSS). The spirometry reference equations were derived from 118'891 individuals consisting of 60'624 (51%) females and 58'267 (49%) males. Altogether, there were 18'211 (15.3%) children under the age of 18 years. We developed spirometry reference equations for a central European population between 8 and 90 years of age that can be implemented in a wide range of clinical settings
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