Towards a healthy diet: from nutrition recommendations to dietary advice.
Ontology highlight
ABSTRACT:
SUBMITTER: Andersson A
PROVIDER: S-EPMC2606986 | biostudies-other | 2007 Mar
REPOSITORIES: biostudies-other
Similar Datasets
Project description:Personalized nutrition (PN) behavior-change interventions are being used increasingly in attempts to improve dietary intake; however, the impact of PN advice on improvements in dietary intake has not been reviewed systematically. The aim of this systematic review was to evaluate the effect of PN advice on changes in dietary intake compared with generalized advice in healthy adults. Three databases (EMBASE, PubMed, and CINAHL) were searched between 2009 and 2020 for randomized controlled trials (RCTs) that tested the effect of PN and tailored advice based on diet, phenotype, or genetic information. The Evidence Analysis Library Quality Criteria checklist was used to conduct a risk-of-bias assessment. Information on intervention design and changes in nutrients, foods, and dietary patterns was extracted from the 11 studies meeting the inclusion criteria. Studies were conducted in the United States, Canada, or Europe; reported outcomes on 57 to 1488 participants; and varied in follow-up duration from 1 to 12 mo. Five studies incorporated behavior-change techniques. The risk of bias for included studies was low. Overall, the available evidence suggests that dietary intake is improved to a greater extent in participants randomly assigned to receive PN advice compared with generalized dietary advice. Additional well-designed PN RCTs are needed that incorporate behavior-change techniques, a broader range of dietary outcomes, and comparisons between personalization based on dietary, biological, and/or lifestyle information.
| S-EPMC8166555 | biostudies-literature
Project description:ObjectiveA high-fibre diet is associated with a lower risk for diseases. However, few adults meet the dietary fibre recommendation. Therefore, the effects and acceptance of an algorithm-generated personalised dietary advice (PDA) compared with general advice (GA) on fibre intake were investigated.DesignA 6-week, single-blind randomised controlled trial with a 3-month follow-up.SettingPDA was based on habitual intake and provided fibre-rich alternatives using a website; GA contained brochures. Dietary intake was assessed at baseline, week 1, week 6 and 3-month follow-up. Both groups evaluated their advice at week 6. All participants had access to PDA from week 7 until 3-month follow-up.ParticipantsTwo groups of healthy adults: PDA (n 34) and GA (n 47). For 3-month follow-up analysis, participants were re-divided into visitors (n 52) and non-visitors (n 26) of the PDA.ResultsAt week 6, energy intake remained stable in both groups, but fibre intake per 1000 kcal increased non-significantly in both groups (PDA = Δ0·5 ± 2·8; GA = Δ0·8 ± 3·1, P = 0·128). Importantly, a significantly higher percentage of PDA participants adhered to the recommendation compared with week 1 (PDA = 21 % increase; GA = 4 % increase, P ≤ 0·001). PDA participants evaluated the advice significantly better compared with GA participants. At 3-month follow-up, fibre intake increased compared with baseline (visitors = Δ2·2 ± 2·6, P < 0·001; non-visitors = Δ1·5 ± 1·9, P = 0·001), but was insignificantly different between groups. Visitors had a decrease and non-visitors had an increase in energy intake (visitors =Δ - 132 ± 525; non-visitors = Δ109 ± 507, P = 0·055).ConclusionsThe algorithm-generated PDA was well accepted and stimulated adherence to the recommendations more than GA, indicating to be a suitable and cost-efficient method for improving dietary fibre intake in healthy adults.
| S-EPMC8025104 | biostudies-literature
Project description:Multifaceted community interventions directed at improving food environments are emerging, but their impact on dietary change and obesity prevalence has not been adequately documented. The Healthy Communities Study (HCS) is seeking to identify characteristics and combinations of programs and policies that are associated with children's diets and obesity-related outcomes in various types of communities across the U.S. The purpose of this paper is to describe the methods used in 2013-2015 in the HCS to assess dietary intake, school nutrition environments, and other nutrition-related behaviors. The conceptual framework of the HCS is based on the socioecological model and behaviors shown in previous studies to be related to obesity in children guided selection of domains. Nine domains were identified as essential measures of nutrition in the HCS: (1) intake of selected foods and beverages; (2) food patterns and behaviors; (3) social support; (4) home environment; (5) school environment; (6) community environment; (7) breastfeeding history; (8) household food insecurity; and (9) dieting behaviors and body image. Children's dietary intake was assessed using a dietary screener and up to two automated 24-hour recalls. Dietary-related behaviors were assessed by a survey administered to the parent, child, or both, depending on child age. School nutrition measures were obtained from a combination of school staff surveys and researcher observations. Information from these measures is expected to contribute to a better understanding of "what is working" to improve the dietary behaviors that are likely to prevent obesity and improve health in children.
| S-EPMC4575770 | biostudies-literature
Project description:ObjectiveMany dietary assessment methods attempt to estimate total food and nutrient intake. If the intention is simply to determine whether participants achieve dietary recommendations, this leads to much redundant data. We used data mining techniques to explore the number of foods that intake information was required on to accurately predict achievement, or not, of key dietary recommendations.DesignWe built decision trees for achievement of recommendations for fruit and vegetables, sodium, fat, saturated fat and free sugars using data from a national dietary surveillance data set. Decision trees describe complex relationships between potential predictor variables (age, sex and all foods listed in the database) and outcome variables (achievement of each of the recommendations).SettingUK National Diet and Nutrition Survey (NDNS, 2008-12).SubjectsThe analysis included 4156 individuals.ResultsInformation on consumption of 113 out of 3911 (3 %) foods, plus age and sex was required to accurately categorize individuals according to all five recommendations. The best trade-off between decision tree accuracy and number of foods included occurred at between eleven (for fruit and vegetables) and thirty-two (for fat, plus age) foods, achieving an accuracy of 72 % (for fat) to 83 % (for fruit and vegetables), with similar values for sensitivity and specificity.ConclusionsUsing information on intake of 113 foods, it is possible to predict with 72-83 % accuracy whether individuals achieve key dietary recommendations. Substantial further research is required to make use of these findings for dietary assessment.
| S-EPMC4873899 | biostudies-literature
Project description:OBJECTIVE:To describe the relationship between adherence to distinct dietary patterns and nutrition literacy. DESIGN:We identified distinct dietary patterns using principal covariates regression (PCovR) and principal components analysis (PCA) from the Diet History Questionnaire II. Nutrition literacy was assessed using the Nutrition Literacy Assessment Instrument (NLit). Cross-sectional relationships between dietary pattern adherence and global and domain-specific NLit scores were tested by multiple linear regression. Mean differences in diet pattern adherence among three predefined nutrition literacy performance categories were tested by ANOVA. SETTING:Metropolitan Kansas City, USA. PARTICIPANTS:Adults (n 386) with at least one of four diet-related diseases. RESULTS:Three diet patterns of interest were derived: a PCovR prudent pattern and PCA-derived Western and Mediterranean patterns. After controlling for age, sex, BMI, race, household income, education level and diabetes status, PCovR prudent pattern adherence positively related to global NLit score (P < 0·001, ? = 0·36), indicating more intake of prudent diet foods with improved nutrition literacy. Validating the PCovR findings, PCA Western pattern adherence inversely related to global NLit (P = 0·003, ? = -0·13) while PCA Mediterranean pattern positively related to global NLit (P = 0·02, ? = 0·12). Using predefined cut points, those with poor nutrition literacy consumed more foods associated with the Western diet (fried foods, sugar-sweetened beverages, red meat, processed foods) while those with good nutrition literacy consumed more foods associated with prudent and Mediterranean diets (vegetables, olive oil, nuts). CONCLUSIONS:Nutrition literacy predicted adherence to healthy/unhealthy diet patterns. These findings warrant future research to determine if improving nutrition literacy effectively improves eating patterns.
| S-EPMC6827561 | biostudies-literature
Project description:BackgroundSmall-area estimation models are regularly commissioned by public health bodies to identify areas of greater inequality and target areas for intervention in a range of behaviours and outcomes. Such local modelling has not been completed for diet consumption in England despite diet being an important predictor of health status. The study sets out whether aspects of adult diet can be modelled from previously collected data to define and evaluate area-level interventions to address obesity and ill-health.MethodsAdults aged 16 years and over living in England. Consumption of fruit, vegetables, and sugar-sweetened beverages (SSB) are modelled using small-area estimation methods in English neighbourhoods (Middle Super Output Areas [MSOA]) to identify areas where reported portions are significantly different from recommended levels of consumption. The selected aspects of diet are modelled from respondents in the National Diet and Nutrition Survey using pooled data from 2008-2016.ResultsEstimates indicate that the average prevalence of adults consuming less than one portion of fruit, vegetables or 100% juice each day by MSOA is 6.9% (range of 4.3 to 14.7%, SE 0.06) and the average prevalence of drinking more than 330ml/day of SSB is 11.5% (range of 5.7 to 30.5%, SE 0.03). Credible intervals around the estimates are wider for SSB consumption. The results identify areas including regions in London, urban areas in the North of England and the South coast which may be prioritised for targeted interventions to support reduced consumption of SSB and/or an increase in portions of fruit and vegetables.ConclusionThese estimates provide valuable information at a finer spatial scale than is presently feasible, allowing for within-country and locality prioritisation of resources to improve diet. Local, targeted interventions to improve fruit and vegetable consumption such as subsidies or voucher schemes should be considered where consumption of these foods is predicted to be low.
| S-EPMC8221484 | biostudies-literature
Project description:BackgroundPeople with serious mental illness have consistently higher levels of mortality and morbidity than the general population. They have greater levels of cardiovascular disease, metabolic disease, diabetes, and respiratory illness. Although genetics may have a role in the physical health problems of these people, lifestyle and environmental factors such as smoking, obesity, poor diet, and low levels of physical activity play a prominent part.ObjectivesTo review the effects of dietary advice for schizophrenia and schizophrenia-like psychosis.Search methodsWe searched the Cochrane Schizophrenia Group's Trials Register (September 09, 2013 and February 24, 2016).Selection criteriaWe planned to include all randomised clinical trials focusing on dietary advice versus standard care.Data collection and analysisThe review authors (RP, KTP) independently screened search results but did not identify any studies that fulfilled the review's criteria.Main resultsWe did not identify any studies that met our inclusion criteria.Authors' conclusionsDietary advice has been shown to improve the dietary intake of the general population. Research is needed to determine whether dietary advice can have a similar benefit in people with serious mental illness.
| S-EPMC7100542 | biostudies-literature
Project description:PurposeAdopting a Mediterranean-like dietary pattern may help in preventing several chronic diseases. We assessed the eating behaviour and compliance with the Mediterranean diet pyramid recommendations in Italy.MethodsThis is a cross-sectional study conducted in subjects aged ≥ 20 years. A 14-question survey based on the updated Mediterranean diet pyramid was launched online from April 2015 to November 2016. At test completion, a personalized pyramid displaying the possible deficiencies and/or excesses was generated, that could be the basis to plan diet and lifestyle modifications.ResultsOverall, 27,540 subjects completed the survey: the proportion of females (75.6%), younger subjects (20.7%) and people with a University degree (33.1%) resembled those of the Italian population of Internet users rather than of the general population. 37.8% of participants declared a sedentary lifestyle, including 29.6% of those aged 20-29 years. A lower-than-recommended intake of all food categories included in the Mediterranean diet pyramid, along with excess of sweets, red and processed meats, emerged, that may affect health in the long term. Low adherence to recommendations was observed especially among females and older people. Notably, a discrepancy surfaced between the responders' perceived and actual behaviour toward the regular consumption of fruits and vegetables (81.8% vs 22.7-32.8%, respectively).ConclusionsThe nutritional habits and lifestyle of Italian participants are poorly adherent to the Mediterranean diet recommendations. The personalized pyramid tool may help in raising the awareness of individuals and their families on where to intervene, possibly with the support of healthcare professionals, to improve their behaviour.Level of evidenceLevel V, cross-sectional descriptive study.
| S-EPMC7581569 | biostudies-literature
Project description:Obesity prevalence is increasing. The management of this condition requires a detailed analysis of the global risk factors in order to develop personalised advice. This study is aimed to identify current dietary patterns and habits in Spanish population interested in personalised nutrition and investigate associations with weight status. Self-reported dietary and anthropometrical data from the Spanish participants in the Food4Me study, were used in a multidimensional exploratory analysis to define specific dietary profiles. Two opposing factors were obtained according to food groups' intake: Factor 1 characterised by a more frequent consumption of traditionally considered unhealthy foods; and Factor 2, where the consumption of "Mediterranean diet" foods was prevalent. Factor 1 showed a direct relationship with BMI (? = 0.226; r² = 0.259; p < 0.001), while the association with Factor 2 was inverse (? = -0.037; r² = 0.230; p = 0.348). A total of four categories were defined (Prudent, Healthy, Western, and Compensatory) through classification of the sample in higher or lower adherence to each factor and combining the possibilities. Western and Compensatory dietary patterns, which were characterized by high-density foods consumption, showed positive associations with overweight prevalence. Further analysis showed that prevention of overweight must focus on limiting the intake of known deleterious foods rather than exclusively enhance healthy products.
| S-EPMC4663610 | biostudies-literature
Project description:Tailored dietary counseling could be specifically efficient during pregnancy, a period accompanied by a rise in nutrition awareness, but little is known about the expectations of pregnant women in this regard. We studied these expectations regarding tailored dietary advice in French women during their pregnancy, as well as their motivations and the perceived barriers and enablers. In French pregnant women, we evaluated the perceptions of tailored dietary advice provided by stepwise dietary counseling based on three types of dietary changes, consisting of: (1) a modification of the amounts consumed, (2) substitutions within the food subgroups, and (3) substitutions between food subgroups. A sequential explanatory mixed-method approach was designed. Using qualitative data from a focus group study (n = 40), we intended to explore in depth the women's expectations regarding dietary advice and adherence to a tailored approach. These were combined with quantitative and qualitative data from a 6-week online longitudinal study (n = 115), using questionnaires designed to assess the modifications of dietary habits during pregnancy and to evaluate each type of dietary change. Both studies confirmed that most women in our samples did indeed intend to institute changes regarding healthier dietary practices during pregnancy. The principal motivation behind changes to their habits was to ensure the health and well-being of both their babies and themselves. The proposal of dietary advice that is tailored to both the current diet and the specific needs of pregnant women, but that is also positive and credible, was perceived as enabling implementing healthier dietary practices during pregnancy. Regarding the implementation of the dietary changes proposed, the enablers and barriers identified differed between modifications of the amounts consumed and substitutions. The women displayed interest in all types of dietary changes. This gave relevance to combining different types of changes in order to propose dietary counseling during pregnancy. Tailored dietary counseling was identified by French pregnant women in our samples as enabling them to adopt a healthier diet. However, perceived barriers might limit the implementation of dietary changes, especially when they involved marked modifications to their usual diet.
| S-EPMC8747067 | biostudies-literature