Nutrition & Dietetics最新文献

Aim: To modify the Australian and New Zealand Health Star Rating to account for ultra-processing and compare the alignment of the modified ratings with NOVA classifications and the current Australian Dietary Guidelines classifications of core (recommended foods) and discretionary (foods to limit).

Methods: Data was cross-sectionally analysed for 25 486 products. Four approaches were compared to the original Health Star Rating: (1) five 'negative' points added to ultra-processed products (modification 1; inclusion approach); (2) ultra-processed products restricted to a maximum of 3.0 Health Stars (modification 2; capping approach); (3 and 4) same approach used for modifications 1 and 2 but only applied to products that already exceeded 10 'negative' points from existing Health Star Rating attributes (modifications 3 and 4, respectively; hybrid approaches). Alignment occurred when products (i) received <3.5 Health Stars and were NOVA group 4 (for NOVA comparison) or discretionary (for Dietary Guidelines comparison), or (ii) received ≥3.5 Health Stars and were NOVA groups 1-3 or core.

Results: All Health Star Rating modifications resulted in greater alignment with NOVA (ranging from 69% to 88%) compared to the original Health Star Rating (66%). None of the modifications resulted in greater alignment to the Dietary Guidelines classifications overall (69% to 76%, compared with 77% for the original Health Star Rating), but alignment varied considerably by food category.

Conclusions: If ultra-processing were incorporated into the Australian and New Zealand Health Star Rating, consideration of ultra-processing within the broader dietary guidance framework would be essential to ensure coherent dietary messaging to Australians.

Aims: This systematic review aims to describe the dietary quality, dietary intake and related behaviours of adults diagnosed with cystic fibrosis.

Methods: A comprehensive literature search was conducted in four databases (Medline, CINAHL, EMBASE, CENTRAL); studies were included if they addressed dietary intake, diet quality or eating behaviours among adults (≥15 years) living with cystic fibrosis and were published from January 2000 to November 2022. The Mixed Methods Appraisal Tool was used to assess the risk of bias and quality of included studies. Findings were synthesised narratively.

Results: Nineteen observational studies (n = 2236) were included and considered high to moderate quality. Most (13/19) studies reported that individuals with cystic fibrosis were consuming high-energy diets; where studies reported energy intake as a proportion of requirements met, energy intake was high, even when using individualised or cystic fibrosis-specific referents. In addition, fat intakes as a proportion of energy appeared high (29%-39% of total energy), particularly as current guidelines recommend macronutrient profile similar to the general population (<30% of total energy). There was considerable variation in the reporting of fatty acid profiles and other nutrients. Five studies reported on concerns regarding diet and eating in this population.

Conclusion: Findings from the current review suggest dietary intakes of adults with cystic fibrosis appear to be less than optimal and concerns about diet, weight and food may be emerging in this population. Future research utilising consistent measures of dietary assessment and reporting, reporting of medical therapies, and exploring potential concerns about diet and eating is warranted.

Aims: To (1) synthesise evidence from Health at Every Size® interventions on physical and psychological health in people with overweight and obesity and (2) report between-group differences within interventions evaluating the impact of Health at Every Size® interventions on health and health-related outcomes.

Methods: Six databases (Medline, Embase, Cochrane, PsychInfo, CINAHL, and Scopus) were searched from inception until November 2022. Included studies were conducted in adults with overweight or obesity, used Health at Every Size®-based interventions compared with control interventions and reported dietary, physical and/or psychological outcomes, including diet quality, anthropometry, or quality of life. Data on between-group differences were extracted. Risk of bias was assessed using ROB2. Random-effects meta-analyses were undertaken for outcomes with at least three studies reporting the same or comparable data.

Results: From 128 studies identified, 19 full-text articles (10 unique studies, 6 published since 2017), were included. Meta-analysis found a significant reduction for susceptibility to hunger in Health at Every Size® intervention groups relative to controls (p = 0.005), with no significant difference (p > 0.05) between Health at Every Size® interventions and control groups for anthropometric, psychological or cardiometabolic outcomes (total cholesterol, HDL cholesterol, triglycerides, systolic or diastolic blood pressure).

Conclusion: Health at Every Size® interventions had similar results compared with weight-based interventions on anthropometric outcomes and cardiometabolic outcomes. Health at Every Size® interventions had a significant benefit for reducing susceptibility to hunger. The decision to use a Health at Every Size®-based intervention should be personalised to individual needs. Further research in more diverse populations is required using standardised outcome measures to facilitate future meta-analyses.

Aims: This cross-sectional observational study quantified Australian Football League Women's athletes' match volume, and compared match-day dietary intakes against recommendations.

Methods: Self-report, direct observation, and fluid measurements determined dietary intake (n = 17, 25 ± 4.5 years, 22.8 ± 1.8 kg/m²) on five home match days (early or late starting). Global positioning system software captured match volume. Linear mixed effects models evaluated differences in early versus late match volume and nutrient intakes. Data are presented as mean ± standard deviation.

Results: Athletes covered 6712 ± 622 m during matches, with similar numbers of very high-intensity running efforts over equal distances in early and late matches (early vs. late efforts [no.]: 8.5 ± 4.9 vs. 9.5 ± 5.5; distance [m]: 203 ± 127 vs. 212 ± 113). Across all match days, 71% (n = 12) of athletes met their predicted daily energy requirements. However, 82% (n = 14) failed to meet minimum daily carbohydrate recommendations; intake was lower on early compared with late match days (4.7 g/day vs. 5.4 g/kg/day, p = 0.027). On average, no athletes met carbohydrate recommendations in the 2 h prior to a match and only 24% (n = 4) met recommendations during matches. All athletes met post-match carbohydrate and protein requirements.

Conclusion: Athletes cover large distances during games with frequent bursts of high-intensity running. However, they do not adjust their intake to meet the energy demands of competition, with inadequate fuelling prior to and during matches. These findings emphasise the need for greater athlete education and dietary support to maximise strategic fuelling to optimise athletic performance.

Aims: This study aimed to explore the multidisciplinary team attitudes and knowledge of bariatric surgery micronutrient management (pre- and postoperative care) and to evaluate the implementation of an extended-scope of practice dietitian-led model of care for micronutrient monitoring and management.

Methods: A mixed method study design included quantitative evaluation of micronutrient testing practices and deficiency rates. Qualitative reflexive thematic analysis was used to interpret multidisciplinary experience with micronutrient monitoring in a traditional and dietitian-led model of care. In addition, deductive analysis used normalisation process theory mapping of multidisciplinary experience with the implementation of the dietitian-led model of care.

Results: In the traditional model, a lack of quality evidence to guide micronutrient management, and a tension in trust between surgeons and patients related to adherence to micronutrient prescriptions were described as challenges in current practice. The dietitian-led model was seen to overcome some of these challenges, increasing collaborative, and coordinated, consistent and personalised patient care that led to increased testing for and detection of micronutrient deficiencies. Barriers to sustainability of the dietitian-led model included a lack of workforce succession planning, and no clearly defined delegation for some aspects of care.

Conclusion: An extended scope dietitian-led model of care for micronutrient management after bariatric surgery improves clinical care. Challenges such as succession planning must be considered in design of extended scope services.

Aim: To describe popular diet content visible on #intermittentfasting, #keto, and #lowcarb on adolescent social media accounts.

Methods: An adolescent Instagram profile captured 200 'top' images from three popular diet hashtags (#intermittentfasting, #keto, and #lowcarb) across two timepoints. Images were coded using a pre-determined ontology as food (core or discretionary; common foods/food groups), people (group, individual, before/after), or informative. Descriptive statistics were used to summarise these categories across hashtags.

Results: At the time of first data collection, there were 3.8 million #intermittentfasting, 19 million #keto, and 22 million #lowcarb posts on Instagram. At the second timepoint there were 4.3 million #intermittentfasting, 21.5 million #keto, and 24.3 million #lowcarb posts. Images tagged #intermittentfasting were categorised as 44% food, 39% people, 10% information; #keto were 64% food, 28% people, 5% information; and #lowcarb were 69% food, 14% people, 16% information. Food images mostly depicted animal proteins (58.6% of #intermittentfasting; 62.9% of #keto; and 40.1% of #lowcarb). Images of people were individual (44%) or before/after (39%); mostly female (77%), of white (53%) ethnicity. Across all posts, 12.5% were linked to a commercial product/program, and 2.3% provided nutrition information.

Conclusion: Diet-related images visible when adolescents search #intermittentfasting, #keto, and #lowcarb on Instagram promote animal-based foods with or without vegetables. These diet hashtags on Instagram do not provide nutrition information and are not helpful for young people searching for diet information online.