983 resultados para Nutrition Intervention


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BACKGROUND: Behavioral interventions show potential for promoting increased fruit and vegetable consumption in the general population. However, little is known about their effectiveness or cost-effectiveness among socioeconomically disadvantaged groups, who are less likely to consume adequate fruit and vegetables. OBJECTIVE: This study investigated the effects and costs of a behavior change intervention for increasing fruit and vegetable purchasing and consumption among socioeconomically disadvantaged women. DESIGN: ShopSmart 4 Health was a randomized controlled trial involving a 3-mo retrospective baseline data collection phase [time (T) 0], a 6-mo intervention (T1-T2), and a 6-mo no-intervention follow-up (T3). Socioeconomically disadvantaged women who were primary household shoppers in Melbourne, Australia, were randomly assigned to either a behavior change intervention arm (n = 124) or a control arm (n = 124). Supermarket transaction (sales) data and surveys measured the main outcomes: fruit and vegetable purchases and self-reported fruit and vegetable consumption. RESULTS: An analysis of supermarket transaction data showed no significant intervention effects on vegetable or fruit purchasing at T2 or T3. Participants in the behavior change intervention arm reported consumption of significantly more vegetables during the intervention (T2) than did controls, with smaller intervention effects sustained at 6 mo postintervention (T3). Relative to controls, vegetable consumption increased by ∼0.5 serving · participant(-1) · d(-1) from baseline to T2 and remained 0.28 servings/d higher than baseline at T3 among those who received the intervention. There was no intervention effect on reported fruit consumption. The behavior change intervention cost A$3.10 (in Australian dollars) · increased serving of vegetables(-1) · d(-1)CONCLUSIONS: This behavioral intervention increased vegetable consumption among socioeconomically disadvantaged women. However, the lack of observed effects on fruit consumption and on both fruit and vegetable purchasing at intervention stores suggests that further investigation of effective nutrition promotion approaches for this key target group is required. The ShopSmart 4 Health trial was registered at www.isrctn.com as ISRCTN48771770.

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Over two billion people suffer from micronutrient deficiencies. Food fortification is a prominent nutrition intervention to combat such deficiencies; however, its effectiveness, risks, and ethical implications vary depending on the contexts associated with the deficiency it is addressing and the circumstances with its implementation. The aim of this research was to analyse the profile of nutrition interventions for combating micronutrient deficiency with particular focus on food fortification reported in existing systematic reviews (SRs), guidelines and policy statements, and implementation actions for nutrition. A review of secondary data available from online databases of SRs, guidelines and policy statements, and implementation actions, categorised as either "nutrition-specific interventions" (NSpI) or "nutrition-sensitive interventions" (NSeI), was conducted. Currently, there is evidence available for a diversity of food fortification topics, and there has been much translation into action. Indeed, food fortification and micronutrient supplementation interventions and NSpI more broadly dominate the profile of interventions for which there were SRs, guidelines, and policy statements available. The findings demonstrate that, although there is a rational linear relationship between evidence synthesis and translation in formulating policy and actions to combat micronutrient deficiencies, the various nutrition interventions available to help combat micronutrient deficiencies are not equally represented in the evidence synthesis and translation processes. Effective and safe policies and actions to combat micronutrient deficiencies require decisions to be informed from a body of evidence that consists of evidence from a variety of interventions. Into the future, investment in making available a higher number of SRs, guidelines and policy statements, and actions of NSeI is indicated.

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Background Primary prevention of childhood overweight is an international priority. In Australia 20-25% of 2-8 year olds are already overweight. These children are at substantially increased the risk of becoming overweight adults, with attendant increased risk of morbidity and mortality. Early feeding practices determine infant exposure to food (type, amount, frequency) and include responses (eg coercion) to infant feeding behaviour (eg. food refusal). There is correlational evidence linking parenting style and early feeding practices to child eating behaviour and weight status. A focus on early feeding is consistent with the national focus on early childhood as the foundation for life-long health and well being. The NOURISH trial aims to implement and evaluate a community-based intervention to promote early feeding practices that will foster healthy food preferences and intake and preserve the innate capacity to self-regulate food intake in young children. Methods/Design This randomised controlled trial (RCT) aims to recruit 820 first-time mothers and their healthy term infants. A consecutive sample of eligible mothers will be approached postnatally at major maternity hospitals in Brisbane and Adelaide. Initial consent will be for re-contact for full enrolment when the infants are 4-7 months old. Individual mother- infant dyads will be randomised to usual care or the intervention. The intervention will provide anticipatory guidance via two modules of six fortnightly parent education and peer support group sessions, each followed by six months of regular maintenance contact. The modules will commence when the infants are aged 4-7 and 13-16 months to coincide with establishment of solid feeding, and autonomy and independence, respectively. Outcome measures will be assessed at baseline, with follow up at nine and 18 months. These will include infant intake (type and amount of foods), food preferences, feeding behaviour and growth and self-reported maternal feeding practices and parenting practices and efficacy. Covariates will include sociodemographics, infant feeding mode and temperament, maternal weight status and weight concern and child care exposure. Discussion Despite the strong rationale to focus on parents’ early feeding practices as a key determinant of child food preferences, intake and self-regulatory capacity, prospective longitudinal and intervention studies are rare. This trial will be amongst to provide Level II evidence regarding the impact of an intervention (commencing prior to age 12 months) on children’s eating patterns and behaviours. Trial Registration: ACTRN12608000056392

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This study aimed to identify: i) the prevalence of malnutrition according to the scored Patient Generated-Subjective Global Assessment (PG-SGA); ii) utilization of available nutrition resources; iii) patient nutrition information needs; and iv) external sources of nutrition information. An observational, cross-sectional study was undertaken at an Australian public hospital on 191 patients receiving oncology services. According to PG-SGA, 49% of patients were malnourished and 46% required improved symptom management and/or nutrition intervention. Commonly reported nutrition-impact symptoms included: peculiar tastes (31%), no appetite (24%) and nausea (24%). External sources of nutrition information were accessed by 37%, with popular choices being media/internet (n=19) and family/friends (n=13). In a sub-sample (n=65), 32 patients were aware of the available nutrition resources, 23 thought the information sufficient and 19 patients had actually read them. Additional information on supplements and modifying side effects was requested by 26 patients. Malnutrition is common in oncology patients receiving treatment at an Australian public hospital and almost half require improved symptom management and/or nutrition intervention. Patients who read the available nutrition information found it useful, however awareness of these nutrition resources and the provision of information on supplementation and managing symptoms requires attention.

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Aims To determine the effect of nutritional status on the presence and severity of pressure ulcers in statewide? public healthcare facilities, in Queensland, Australia. Research Methods A multicentre, cross sectional audit of nutritional status of a convenience sample of subjects was carried out as part of a large audit of pressure ulcers in a sample of state based public healthcare facilities in 2002 and 2003. Dietitians in 20 hospitals and six residential aged care facilities conducted single day nutritional status audits of 2208 acute and 839 aged care subjects using the Subjective Global Assessment. The effect of nutritional status on the presence, highest stage and number of pressure ulcers was determined by logistic regression in a model controlling for age, gender, medical specialty and facility location. The potential clustering effect of facility was accounted for in the model using an analysis of correlated data approach. Results Subjects with malnutrition had an adjusted odds risk of 2.6 (95% CI 1.8-3.5, p<0.001) of having a pressure ulcer in acute facilities and 2.0 (95% CI 1.5-2.7, p<0.001) for residential aged care facilities. There was also increased odds risk of having a pressure ulcer, having a higher stage pressure ulcer and a higher number of pressure ulcers with increased severity of malnutrition. Conclusion Malnutrition was associated with at least twice the odds risk of having a pressure ulcer of in public healthcare facilities in Queensland. Action must be taken to identify, prevent and treat malnutrition, especially in patients at risk of pressure ulcer.

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Background: The Malnutrition Screening Tool (MST) is a valid nutrition screening tool in the acute hospital setting but has not been assessed in residential aged care facilities. The aim of this secondary analysis was to determine whether the MST could be a useful nutrition screening tool when compared with a full nutrition assessment by Subjective Global Assessment (SGA) in the residential aged care setting. ----- Methods: Two hundred and eighty-five residents (29% male; mean age: 84 ± 9 years) from eight residential aged care facilities in Australia participated. A secondary analysis of data collected during a nutrition intervention study was conducted. The MST consists of two questions related to recent weight loss and appetite. While the MST was not specifically applied, weight loss and appetite information was available and an estimated MST score (0-5) calculated. Nutritional status was assessed by a research assistant trained in using SGA. ----- Results: Malnutrition prevalence was 42.8% (122 malnourished out of 285 residents). Compared to the SGA, the MST was an effective predictor of nutritional risk (sensitivity = 83.6%, specificity = 65.6%, positive predictive value = 0.65, negative predictive value =0.84). ----- Conclusions: The components of the MST have acceptable sensitivity and specificity suggesting it can play a valuable role in quickly identifying malnutrition risk in the residential aged care setting. Further prospective research using the MST tool against a broader array of objective and subjective nutritional parameters is required to confirm its validity as a screening tool in aged care settings.

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This paper provides an overview of the Healthy Weight Program as delivered by the Bidgerdii Aboriginal and Torres Strait Islander Community Health Service through its Aboriginal Health Workers in the Central Highlands of Central Queensland, Australia.

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Objective To describe the impact of a parent-led, family focused child weight management program on the food intake and activity patterns of pre-pubertal children. Methods n assessor-blinded, randomized controlled trial involving 111 (64% female) overweight, pre-pubertal children 6 to 9 years of age randomly assigned to parenting-skills training plus intensive lifestyle education, parenting-skills training alone, or a 12-month wait-listed control. Study outcomes were assessed at baseline, 6 months, and 12 months. This paper presents data on food intake assessed via a validated 54-item parent completed dietary questionnaire and activity behaviours assessed via a parent-report 20-item activity questionnaire. Results Intake of energy-dense nutrient poor foods was lower in both intervention groups at 6 months (mean difference, P+DA -1.5 serves [CI -2.0;-1.0]; P -1.0 serves [-2.0;-0.5]) and 12 months (mean difference P+DA -1.0 serves [CI -2.0;-0.5]; P -1.0 serves [-1.5; 0.0]) compared to baseline. Intake of vegetables, fruit, breads and cereals, meat and alternatives and dairy foods remained unchanged. Regardless of study group there were significant reductions over time in the reported time spent engaged in small screen activities and an increase in the time reported spent in active play. Conclusion Child weight management intervention that promotes food intake in line with national dietary guidelines achieves a reduction in children’s intake of energy dense, nutrient poor foods. This was achieved without compromising intake of nutrient-rich food and changes in were maintained even once the intervention ceased.

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Background: Rapid weight gain in infancy is an important predictor of obesity in later childhood. Our aim was to determine which modifiable variables are associated with rapid weight gain in early life. Methods: Subjects were healthy infants enrolled in NOURISH, a randomised, controlled trial evaluating an intervention to promote positive early feeding practices. This analysis used the birth and baseline data for NOURISH. Birthweight was collected from hospital records and infants were also weighed at baseline assessment when they were aged 4-7 months and before randomisation. Infant feeding practices and demographic variables were collected from the mother using a self administered questionnaire. Rapid weight gain was defined as an increase in weight-for-age Z-score (using WHO standards) above 0.67 SD from birth to baseline assessment, which is interpreted clinically as crossing centile lines on a growth chart. Variables associated with rapid weight gain were evaluated using a multivariable logistic regression model. Results: Complete data were available for 612 infants (88% of the total sample recruited) with a mean (SD) age of 4.3 (1.0) months at baseline assessment. After adjusting for mother's age, smoking in pregnancy, BMI, and education and infant birthweight, age, gender and introduction of solid foods, the only two modifiable factors associated with rapid weight gain to attain statistical significance were formula feeding [OR=1.72 (95%CI 1.01-2.94), P= 0.047] and feeding on schedule [OR=2.29 (95%CI 1.14-4.61), P=0.020]. Male gender and lower birthweight were non-modifiable factors associated with rapid weight gain. Conclusions: This analysis supports the contention that there is an association between formula feeding, feeding to schedule and weight gain in the first months of life. Mechanisms may include the actual content of formula milk (e.g. higher protein intake) or differences in feeding styles, such as feeding to schedule, which increase the risk of overfeeding. Trial Registration: Australian Clinical Trials Registry ACTRN12608000056392

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During nutrition intervention programs, some form of dietary assessment is usually necessary. This dietary assessment can be for: initial screening; development of appropriate programs and activities; or, evaluation. Established methods of dietary assessment are not always practical, nor cost effective in such interventions, therefore an abbreviated dietary assessment tool is needed. The Queensland Nutrition Project developed such a tool for male Blue Collar Workers, the Food Behaviour Questionnaire, consisting of 27 food behaviour related questions. This tool has been validated in a sample of 23 men, through full dietary assessment obtained via food frequency questionnaires and 24 hour dietary recalls. Those questions which correlated poorly with the full dietary assessment were deleted from the tool. In all, 13 questions was all that was required to distinguish between high and low dietary intakes of particular nutrients. Three questions when combined had correlations with refined sugar between 0.617 and 0.730 (p<0.005); four questions when combined had correlations with dietary fibre as percentage of energy of 0.45 (p<0.05); five questions when combined had a correlation with total fat of 0.499 (p<0.05); and, 4 questions when combined had a correlation with saturated fat of between 0.451 and 0.589 (p<0.05). A significant correlation could not be found for food behaviour questions with respect to dietary sodium. Correlations for fat as a function of energy could not be found.

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Aim: Up to 60% of older medical patients are malnourished with further decline during hospital stay. There is limited evidence for effective nutrition intervention. Staff focus groups were conducted to improve understanding of potential contextual and cultural barriers to feeding older adults in hospital. Methods: Three focus groups involved 22 staff working on the acute medical wards of a large tertiary teaching hospital. Staff disciplines were nursing, dietetics, speech pathology, occupational therapy, physiotherapy, pharmacy. A semistructured topic guide was used by the same facilitator to prompt discussions on hospital nutrition care including barriers. Focus groups were tape-recorded, transcribed and analysed thematically. Results: All staff recognised malnutrition to be an important problem in older patients during hospital stay and identified patient-level barriers to nutrition care such as non-compliance to feeding plans and hospital-level barriers including nursing staff shortages. Differences between disciplines revealed a lack of a coordinated approach, including poor knowledge of nutrition care processes, poor interdisciplinary communication, and a lack of a sense of shared responsibility/coordinated approach to nutrition care. All staff talked about competing activities at meal times and felt disempowered to prioritise nutrition in the acute medical setting. Staff agreed education and ‘extra hands’ would address most barriers but did not consider organisational change. Conclusions: Redesigning the model of care to reprioritise meal-time activities and redefine multidisciplinary roles and responsibilities would support coordinated nutrition care. However, effectiveness may also depend on hospitalwide leadership and support to empower staff and increase accountability within a team-led approach.

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This report documents the results of a qualitative study of young people experiencing disadvantage who are responsible for feeding themselves. The purpose of the study was to explore the knowledge, skills and behaviours they use in their day to day eating. The results of this study were considered alongside those of an earlier study of Australian food experts in order to develop a definition of food literacy, identify its components and propose a model for its relationship with diet quality and chronic disease. This young people's study also examined how young people's relationship with food developed and its relationship with the social determinants of health. This report will help practitioners working in food literacy better target their practice and investment.

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The 'variety effect' describes the greater consumption that is observed when multiple foods with different sensory characteristics are presented either simultaneously or sequentially. Variety increases the amount of food consumed in test of ad libitum intake. However, outside the laboratory, meals are often planned in advance and then consumed in their entirety. We sought to explore the extent to which the variety effect is anticipated in this pre-meal planning. Participants were shown two food images, each representing a first or a second course of a hypothetical meal. The two courses were either, i) exactly the same food, ii) different foods from the same sensory category (sweet or savoury) or, iii) different foods from a different sensory category. In Study 1 (N = 30) these courses comprised typical ‘main meal’ foods and in Study 2 (N = 30) they comprised snack foods. For each pair of images, participants rated their expected liking of the second course and selected ideal portion sizes, both for the second course and the first and second course, combined. In both studies, as the difference between the courses (from (i) same to (ii) similar to (iii) different) increased, the second course was selected in a larger portion and it was rated as more pleasant. To our knowledge, these are the first studies to show that the variety effect is evident in the energy content of self-selected meals. This work shows that effects of variety are learned and anticipated. This extends our characterisation beyond a passive process that develops towards the end of a meal.

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Obesity has reached epidemic levels in most affluent countries. In contrast, South Asia is presently considered a minimally affected region as malnutrition and infectious diseases are still their main health concerns.1 South Asians have poor attitudes toward obesity and being obese is considered as a sign of prosperity...

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Eat Well Queensland 2002-2012: Smart Eating for a Healthier State (EWQ) was developed by the Queensland Public Health Forum in 2002 as a 10-year strategy to improve the health of Queenslanders through better food and nutrition. This study aimed to evaluate the implementation of EWQ and identify future strategic action required. Queensland Health funded a mid-point review of EWQ in 2008, to identify achievements, gaps, barriers and emerging issues associated with EWQ. 31 key stakeholders were interviewed, 83 stakeholders responded to an online survey, 150 stakeholders attended a state-wide practitioner workshop and 209 EWQ-related project reports were assessed.