933 resultados para healthy eating norms


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Background: Chronic disease presents overwhelming challenges to elderly patients, their families, health care providers and the health care system. The aim of this study was to explore a theoretical model for effective management of chronic diseases, especially type 2 diabetes mellitus and/or cardiovascular disease. The assumed theoretical model considered the connections between physical function, mental health, social support and health behaviours. The study effort was to improve the quality of life for people with chronic diseases, especially type 2 diabetes and/or cardiovascular disease and to reduce health costs. Methods: A cross-sectional post questionnaire survey was conducted in early 2009 from a randomised sample of Australians aged 50 to 80 years. A total of 732 subjects were eligible for analysis. Firstly, factors influencing respondents‘ quality of life were investigated through bivariate and multivariate regression analysis. Secondly, the Theory of Planned Behaviour (TPB) model for regular physical activity, healthy eating and medication adherence behaviours was tested for all relevant respondents using regression analysis. Thirdly, TPB variable differences between respondents who have diabetes and/or cardiovascular disease and those without these diseases were compared. Finally, the TPB model for three behaviours including regular physical activity, healthy eating and medication adherence were tested in respondents with diabetes and/or cardiovascular diseases using Structure Equation Modelling (SEM). Results: This was the first study combining the three behaviours using a TPB model, while testing the influence of extra variables on the TPB model in one study. The results of this study provided evidence that the ageing process was a cumulative effect of biological change, socio-economic environment and lifelong behaviours. Health behaviours, especially physical activity and healthy eating were important modifiable factors influencing respondents‘ quality of life. Since over 80% of the respondents had at least one chronic disease, it was important to consider supporting older people‘s chronic disease self-management skills such as healthy diet, regular physical activity and medication adherence to improve their quality of life. Direct measurement of the TPB model was helpful in understanding respondents‘ intention and behaviour toward physical activity, healthy eating and medication adherence. In respondents with diabetes and/or cardiovascular disease, the TPB model predicted different proportions of intention toward three different health behaviours with 39% intending to engage in physical activity, 49% intending to engage in healthy eating and 47% intending to comply with medication adherence. Perceived behavioural control, which was proven to be the same as self-efficacy in measurement in this study, played an important role in predicting intention towards the three health behaviours. Also social norms played a slightly more important role than attitude for physical activity and medication adherence, while attitude and social norms had similar effects on healthy eating in respondents with diabetes and/or cardiovascular disease. Both perceived behavioural control and intention directly predicted recent actual behaviours. Physical activity was more a volitional control behaviour than healthy eating and medication adherence. Step by step goal setting and motivation was more important for physical activity, while accessibility, resources and other social environmental factors were necessary for improving healthy eating and medication adherence. The extra variables of age, waist circumference, health related quality of life and depression indirectly influenced intention towards the three behaviours mainly mediated through attitude and perceived behavioural control. Depression was a serious health problem that reduced the three health behaviours‘ motivation, mediated through decreased self-efficacy and negative attitude. This research provided evidence that self-efficacy is similar to perceived behavioural control in the TPB model and intention is a proximal goal toward a particular behaviour. Combining four sources of information in the self-efficacy model with the TPB model would improve chronic disease patients‘ self management behaviour and reach an improved long-term treatment outcome. Conclusion: Health intervention programs that target chronic disease management should focus on patients‘ self-efficacy. A holistic approach which is patient-centred and involves a multidisciplinary collaboration strategy would be effective. Supporting the socio-economic environment and the mental/ emotional environment for older people needs to be considered within an integrated health care system.

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Many studies have reported increasing levels of obesity and overweight in children. Recent policy developments have examined a range of influences on children's eating habits but have left largely unexamined the role of parents in general and mothers in particular. In this study we examined mothers’ understandings of healthy eating and of their influence on their children's eating patterns. Semi-structured interviews were conducted with nine mothers of children aged between 4 and 12 years of age. Interviewees displayed knowledge of recommended eating practices for their children but distinguished this knowledge from actual eating practices. Avoidance of negative social perceptions, pleasure in eating and opportunities for fast food were regarded as more important than eating in accordance with recommended nutritional guidelines. Moreover, the food choices made were viewed as positive alternatives to eating based on nutritional balance. These views pose a challenge for policy initiatives to address obesity and excess weight in children. Future initiatives should have increased regard for the everyday contexts within which children's eating patterns are understood and justified.

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Purpose:
Social norms influence eating behavior, but little is known about their role in portion size-related behavior. This study
explored the role of social eating norms in Denmark (DK) and the Island of Ireland (IOI) in relation to portion size-related
behavior.

Methods:
In a survey DK (n=1063) and IOI (n=1012) respondents rated social eating norms (11 items) and portion size-related behavior
(3 items) on a 7-point scale (1=strongly disagree to 7=strongly agree). The 3 items relate to: 1) anticipating how
much will be eaten at the beginning of a meal, 2) clearing the plate, and 3) clearing the plate even when full. Sociodemographics
and eating attitudes (e.g. cognitive restraint) were measured as background variables

Results:
Two social eating factors were identified: The ‘limit intake’ norm (6 items) and the ‘plate cleaning’ norm (3 items). The
DK participants reported stronger ‘limit intake’ norms and weaker ‘plate cleaning’ norms than IOI. In both countries
females reported stronger ‘limit intake’ norms while males reported stronger ‘plate cleaning’ norms. In DK, age was
positively correlated with both social eating norm factors. The ‘limit intake’ norm had stronger association with anticipating
how much will be eaten at the beginning of a meal, but the ‘plate cleaning’ norm had stronger association with
clearing the plate. Only the ‘plate cleaning’ norm was associated with clearing the plate even when full.

Conclusions:
The social eating norms vary significantly between countries and genders. The ‘limit intake’ and ‘plate cleaning’ norms
play a role in consumers’ reported portion size-related behavior.

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The notion of educating the public through generic healthy eating messages has pervaded dietary health promotion efforts over the years and continues to do so through various media, despite little evidence for any enduring impact upon eating behaviour. There is growing evidence, however, that tailored interventions such as those that could be delivered online can be effective in bringing about healthy dietary behaviour change. The present paper brings together evidence from qualitative and quantitative studies that have considered the public perspective of genomics, nutrigenomics and personalised nutrition, including those conducted as part of the EU-funded Food4Me project. Such studies have consistently indicated that although the public hold positive views about nutrigenomics and personalised nutrition, they have reservations about the service providers' ability to ensure the secure handling of health data. Technological innovation has driven the concept of personalised nutrition forward and now a further technological leap is required to ensure the privacy of online service delivery systems and to protect data gathered in the process of designing personalised nutrition therapies.

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Field lab in marketing: Children consumer behaviour

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Background: The purpose of this study was to examine the relationships between physical activity and healthy eating behaviour with the participant's motives and goals for each health behaviour. Methods: Participants (N 121; 93.2% female) enrolled in commercial weightloss programs at the time of data collection, completed self-reported instruments using a web-based interface that were in accordance with Deci and Ryan's (2002) Self-Determination Theory (SDT). Results: Multiple linear regression models revealed that motivation and goals collectively accounted for between 0.21 to 0.29 percent and 0.03 to 0.16 percent of the variance in physical and healthy eating behaviours in this sample. In general, goals regarding either behaviour did not appear to have strong predictive relationships with each health behaviour beyond the contributions of motives. Discussion: Overall, findings from this study suggest that motives seem to mattermore than goals for both physical activity and healthy eating behaviour in clientele of commercial weight-loss programs. Therefore commercial weight-loss program implementers may want to consider placing more attention on motives I than goals for their clientele when designing weight-loss and weight-maintenance initiatives.

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This mixed methods investigation examined the nutritional knowledge and habits of adolescent girls in grades 9 through 12 at a secondary school in southern Ontario. Through questionnaires, interviews, and the use of teaching and curriculum documents, this study attempted to understand whether the current nutrition curriculum is influential in developing students' nutritional knowledge, healthy eating habits, and a favourable body image. Data collection occurred over a 2-month period, involving 90 female participants, and the data analysis program SPSS was used for analysis of the quantitative questionnaire data. Interview data were organized into categories, and analysis of any emerging themes occurred. Teaching and curriculum documents were examined to determine any overlap and develop an understanding of the participants' exposure and experience within nutrition within the classroom setting. The findings of this study suggest that the current nutrition education did have an impact on the participants' nutrition knowledge. However, the impact on their eating habits and body image was limited in the context it was measured and tested. The knowledge learned within the classroom may not always be applied outside of the classroom. This study suggests that improvement in the current nutrition curriculum may be needed to have a bigger impact on adolescent females. The findings from the study shine light on areas of improvements for educators as well as development of future curriculum. Changes may need to be made not only in the specific curriculum content and expectations but also the delivery of it by the classroom teacher.

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The aim of the present study was to determine whether under-reporting rates vary between dietary pattern Clusters. Subjects were sixty-five Brazilian women. During 3 weeks, anthropometric data were collected. total energy expenditure (TEE) was determined by the doubly labelled water method and diet Was Measured. Energy intake (El) and the daily frequency of consumption per 1000 kJ of twenty-two food groups were obtained from a FFQ. These frequencies were entered into a Cluster analysis procedure in order to obtain dietary patterns. Under-reporters were defined Lis those who did not lose more than 1 kg of body weight during the study and presented EI:TEE less than 0.82. Three dietary pattern clusters were identified and named according to their most recurrent food groups: sweet foods (SW). starchy foods (ST) and health), (H). Subjects from the healthy cluster had the lowest mean EI:TEE (SW = 0.86, ST = 0.71 and H = 0.58: P = 0.003) and EI - TEE (SW = -0.49 MJ, ST = - 3.20 MJ and H = -5.09 MJ; P = 0.008). The proportion of Under-reporters was 45.2 (95 % CI 35.5, 55.0) % in the SW Cluster: 58.3 (95 % CI 48.6, 68.0) % in the ST Cluster and 70.0 (95 % CI 61.0, 79) % in the H cluster (P=0.34). Thus, in Brazilian women, Under-reporting of El is not uniformly distributed among, dietary pattern clusters and tends to be more severe among subjects from the healthy cluster. This cluster is more consistent with both dietary guidelines and with what lay individuals usually consider `healthy eating`.

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Background
Sporting organisations provide an important setting for health promotion strategies that involve policies, communication of healthy messages and creation of health promoting environments. The introduction of policy interventions within sporting organisations is one strategy to target high risk behaviours such as smoking, alcohol consumption, excess sun exposure, unhealthy eating and discrimination.

Objectives
To review all controlled evaluation studies of policy interventions organised through sporting settings to increase healthy behaviour (related to smoking, alcohol, healthy eating, sun protection, discrimination, safety and access).

Search strategy
We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, PsyclNFO, CINAHL, SPORTDiscus, Sociological Abstracts, Dissertation Abstracts, freely available online health promotion and sports-related databases hosted by leading agencies, and the internet using sport and policy-related key words. We identified further studies in the bibliographies of articles and by contacting authors of key articles in the area.

Selection criteria
We aimed to identify research that had used study designs that incorporated an evaluated intervention and comparison. Uncontrolled studies, meeting other inclusion criteria, were to be reported in an annex to the review.
Types of studies: Studies in which sporting organisations were allocated to a policy intervention or control/comparison group. No minimum follow-up required.
Types of participants: People of all ages.
Types of interventions: Any policy intervention implemented through sporting organisations to instigate and/or sustain healthy behaviour change, intention to change behaviour, or changes in attitudes, knowledge or awareness of healthy behaviour. Policies must address any of the following: smoking, alcohol, healthy eating, sun protection, access for disadvantaged groups, physical safety (not including injuries), and social and emotional health (e.g.. anti-vilification, anti-discrimination).
Types of outcome measures: Behaviour change, intention to change behaviour, change in attitudes, knowledge or awareness of healthy behaviour, and policy presence.

Data collection and analysis
We assessed whether identified citations were controlled evaluation studies and investigated the use of policy implemented in sporting settings. Abstracts were independently inspected by two reviewers and full papers were obtained where necessary. As no controlled evaluation studies were located, no data collection or analysis was undertaken. No uncontrolled studies meeting other inclusion criteria were identified and therefore no annex is presented.

Main results
No rigorous studies were located to test the effectiveness of policy interventions organised through sporting organisations to increase healthy behaviours, attitudes, knowledge or inclusion of health oriented policies within the organisarions.

Authors' conclusions
We were unable to find any controlled studies to guide the use of policy interventions used in sporting settings. The search process revealed a number of case studies with anecdotal reporting of outcomes. We strongly recommend that rigorous evaluation techniques are employed more commonly in this field to illuminate the impact of health promoting policy on outcomes, and the contexts and processes which are likely ro be effective in reducing harmful behaviours.

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Aim: This study set out to examine the socio-cultural, familial and environmental factors influencing health, eating habits and patterns of physical activity contributing to child and adolescent overweight and obesity. Methods: Semi-structured, community-based interviews were conducted with contrasting key informant three-generation families; and generation by generation focus groups of grandparents, parents and children from four cultural communities in the state of Victoria, Australia. Purposive sampling occurred from Turkish, Greek, Indian and Chinese communities that have migrated to Australia within the last three generations (n = 160, eight families, 47 children aged 5–15 years, 29 parents, 42 grandparents). Results: Evidence of two-way influences on eating and physical activity across three generations was evident, with children reporting the greatest cross-cultural diversity. A range of dietary restrictions was reported across all cultural groups. Efforts to foster healthy eating and lifestyle patterns within communities were evident. Parents, as a generation in particular, felt the need for more access to education and support regarding healthy limits for pre-puberty and puberty stages. Conclusion: There is a dynamic influence of culture on many aspects of family lifestyle across three generations. To achieve successful intervention design, childhood obesity researchers need to collaborate with diverse groups and communities. Considering the role and influence of extended family, a multigenerational, whole-of-community approach beyond that of parent and child populations ought to be considered.

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Issue addressed: Supermarkets are a potential setting in which to deliver nutrition promotion to the community. A pilot project was able to examine the requirements for health authorities to form partnerships with other sectors and opportunities and limitations of using industry- based communication strategies to promote healthy eating messages. Methods: Pre-intervention interviews helped determine communication strategies. Post-intervention interviews were used to assess content and appropriateness of nutrition resources, collaboration between key participants, satisfaction with training and barriers/promoters to implementation. An intercept survey with consumers measured the impact of the intervention. Results: The survey of more than 1,120 women indicated only limited success. 12% of respondents from the intervention supermarkets had watched demonstrations and 20% had noticed the recipe leaflets, with only 5% able to name the promotion. Supermarket owners, representatives from participating food companies and demonstrators were supportive of the concept and content used in the promotion and qualitative analysis provides indicators for similar promotions. Conclusions: Health authorities considering 'partnerships' with the food/supermarket industry should recognise the diversity of roles and responsibilities of the organisations involved in the supply of food through the retail market and allow for long term planning when working with them. Head office of the supermarket group has a key coordinating role, however, individual supermarkets will be driven by financial returns. So what?: The recognition and trust in the name of health authorities by consumers means that organisations value an association with them.

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Diet indices represent an integrated approach to assessing eating patterns and behaviors. The aim of this study was to develop a comprehensive food-based dietary index to reflect adherence to healthy eating recommendations, evaluate the construct validity of the index using nutrient intakes, and evaluate this index in relation to sociodemographic factors, health behaviors, risk factors, and self-assessed health status. Data were analyzed from adult participants of the Australian National Nutrition Survey who completed a 108-item FFQ and a food habits questionnaire (n = 8220). The dietary guideline index (DGI) consisted of 15 items reflecting the dietary guidelines, including dietary indicators of vegetables and legumes, fruit, total cereals, meat and alternatives, total dairy, beverages, sodium, saturated fat, alcoholic beverages, and added sugars. Diet quality was incorporated using indicators relating to whole-grain cereals, lean meat, reduced/low fat dairy, and dietary variety. We investigated associations between the DGI score, sociodemographic factors, health behaviors, chronic disease risk factors, and nutrient intakes. We found associations between the DGI scores and sex, age, income, area-level socioeconomic disadvantage, smoking, physical activity, waist:hip ratio, systolic blood pressure (males only), and self-assessed health status (females only) (all P < 0.05). Higher DGI scores were associated with lower intakes of energy, total fat, and saturated fat and higher intakes of fiber, β-carotene, vitamin C, folate, calcium, and iron (P < 0.05). This food-based dietary index is able to discriminate across a variety of sociodemographic factors, health behaviors, and self-assessed health and reflects intakes of key nutrients.

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This study aimed to examine cost disparity and nutritional choices within the
City of Yarra (Yarra), targeting three suburbs that have low- and high-rise
estates: Richmond, Fitzroy, and Collingwood. The healthy food basket
(HFB) was modeled on the Queensland Healthy Food Access Basket for a
six-person family for a fortnight and was constructed to include food items
that are common to ethnic groups living in Yarra. The HFB food item costs
were sampled across 29 food outlets in Yarra. The average cost of HFB per fortnight
for a family of six was significantly lower in Richmond (Mean = $419.26)
than in Collingwood (Mean = $519.28) and in Fitzroy (Mean = $433.98). While
costs for cereal groups, dairy, meats and alternatives, and non-core were
comparable across the suburbs, significant differences were noticed for fruit,
legumes and vegetables. Geographic location alone explained 54% of the
variance in HFB price (F2,26 = 15.23, p < 0.001) and 32.7% in the variance of
fruit, vegetable and legumes (F2,26 = 7.72, p < 0.001). The effect of geographic
location remained consistent after controlling for the type of food
outlets. The type of food outlets had a non-significant effect on the variance
of prices. Richmond had a greater number variety of fruit, vegetables, and
legumes (F2, 26 = 5.7, p < 0.01) and an overall lower number of missing items
(F2, 26 = 3.9, p < 0.05) than Collingwood and Fitzroy. The diversity of food
available in the three suburbs was more likely to reflect the Vietnamese,
Chinese and East-Timorese shopping pattern than the rest of other ethnic

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Objective(s). To look at food and eating practices from the perspectives of Pakistanis and Indians with type 2 diabetes, their perceptions of the barriers and facilitators to dietary change, and the social and cultural factors informing their accounts.

Method. Qualitative, interview study involving 23 Pakistanis and nine Indians with type 2 diabetes. Respondents were interviewed in their first language (Punjabi or English) by a bilingual researcher. Data collection and analysis took place concurrently with issues identified in early interviews being used to inform areas of investigation in later ones.

Results. Despite considerable diversity in the dietary advice received, respondents offered similar accounts of their food and eating practices following diagnosis. Most had continued to consume South Asian foods, especially in the evenings, despite their perceived concerns that these foods could be 'dangerous' and detrimental to their diabetes control. Respondents described such foods as 'strength-giving', and highlighted a cultural expectation to participate in acts of commensality with family/community members. Male respondents often reported limited input into food preparation. Many respondents attempted to balance the perceived risks of eating South Asian foodstuffs against those of alienating themselves from their culture and community by eating such foods in smaller amounts. This strategy could lead to a lack of satiation and is not recommended in current dietary guidelines.

Conclusions. Perceptions that South Asian foodstuffs necessarily comprise 'risky' options need to be tackled amongst patients and possibly their healthcare providers. To enable Indians and Pakistanis to manage their diabetes and identity simultaneously, guidelines should promote changes which work with their current food practices and preferences; specifically through lower fat recipes for commonly consumed dishes. Information and advice should be targeted at those responsible for food preparation, not just the person with diabetes. Community initiatives, emphasising the importance of healthy eating, are also needed.

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Objective: To implement a systematic evidence-informed process to enable Fiji and Tonga to identify the most feasible and targeted policy interventions which would have most impact on diet-related non-communicable diseases.

Design: A multisectoral stakeholder group of policy advisers was formed in each country. They used participatory approaches to identify the problem policies and gaps contributing to an unhealthy food environment. Potential solutions to these problems were then identified, and were assessed by them for feasibility, effectiveness, cost-effectiveness and side-effects. Data were gathered on the food and policy environment to support the assessments. A shortlist of preferred policy interventions for action was then developed.

Results: Sixty to eighty policy problems were identified in each country, affecting areas such as trade, agriculture, fisheries and pricing. Up to 100 specific potential policy solutions were then developed in each country. Assessment of the policies highlighted relevant problem areas including poor feasibility, limited effectiveness or cost-effectiveness and serious side-effects. A shortlist of twenty to twenty-three preferred new policy options for action in each country was identified.

Conclusions: Policy environments in these two countries were not conducive to supporting healthy eating. Substantial areas of potential action are possible, but some represent better choices. It is important for countries to consider the impact of non-health policies on diets.