Dyslipidaemia is a metabolic anomaly which has been related to numerous morbidities. Orange juice (OJ) is a popular flavonoid-rich drink consumed worldwide. Due to the existing controversies regarding its impact on blood lipids, we decided to investigate the impact of OJ supplementation on lipid profile parameters. Major scientific databases (Cochrane library, Scopus, PubMed and Embase) were searched. Pooled effects sizes were reported as weighted mean difference (WMD) and 95 % confidence intervals (CIs). Out of 6334 articles retrieved by the initial search, 9 articles met our inclusion criteria. Overall, supplementation with OJ did not exert any significant effects on blood levels of TG (WMD −1·53 mg/dl, 95 % CI −6·39, 3·32, P = 0·536), TC (WMD −5·91 mg/dl, 95 % CI −13·26, 1·43, P = 0·114) or HDL-C (WMD 0·61 mg/ dl, 95 % CI −0·61, 1·82, P = 0·333). OJ consumption did reduce LDL-C levels significantly (WMD −8·35 mg/dl, 95 % CI −15·43, −1·26, P = 0·021). Overall, we showed that the consumption of OJ may not be beneficial in improving serum levels of TG, TC or HDL-C. Contrarily, we showed that daily intake of OJ, especially more than 500 ml/d, might be effective in reducing LDL-C levels. In the light of the existing inconsistencies, we propose that further high-quality interventions be conducted in order to make a solid conclusion.

Plums are abundant in bioactive compounds which have been associated with numerous health benefits. In the present study, we aimed at examining the impact of plum supplementation on lipid profile of individuals. Electronic bibliographical databases were searched for relevant randomised clinical trials. Articles meeting our eligibility criteria were included for data extraction and final analysis. Weighted mean difference (WMD) was estimated using a random-effect model. Of the total articles retrieved in the initial search, nine articles were found to be eligible to be included in the analysis. Our results show that plum supplementation significantly improves total cholesterols levels in the unhealthy individuals. Moreover, plum supplementation reduces the LDL-c levels in the pooled sample (WMD = −11⋅52 mg/dl; 95 % CI −21⋅93, −1⋅11, P = 0⋅03, I2 = 98⋅7 %) and also in some of the subgroups of individuals (dried plum, unhealthy subjects, duration more than 8 weeks). Moreover, it had a significant reducing effect on TC levels just in unhealthy subjects. Although plum supplementation did not have any significant impact on serum levels of TG nor HDL-c. Our results show that supplementation with plums is potentially effective in reducing serum total cholesterol and LDL-c.

Chylomicron particles are continually synthesised and secreted from the intestine even in the absence of ingested fat. It is possible that following consumption of low doses of fat the basal level of chylomicron secretion and subsequent metabolism are sufficient to metabolise this fat without an increase in postprandial chylomicron concentrations. To test this hypothesis, healthy male subjects were randomised to receive, on three separate occasions, meals containing a range of doses of fat (average 8·1–19 g) and effects on postprandial lipaemia and chylomicron concentration were determined. Furthermore, to delineate the effect on lipid-rich v. lipid-poor (remnant) forms lipid levels were also determined in a density <1·006 g/ml fraction. Following consumption of the very low dose of fat the postprandial concentration of chylomicrons was unaltered, whereas following the medium dose postprandial chylomicron concentrations were significantly increased. Interestingly, this increase was only detected in the lipid-rich chylomicron fraction, with postprandial levels of chylomicron remnants remaining unchanged. In conclusion, it appears that consumption of what would be considered low to medium doses of fat are not associated with transient postprandial increases in chylomicron remnants in healthy male subjects.

This study aimed to compare the differences in the intake of food groups and nutrients between Japanese adults who consumed the recommended daily vegetable intake (350 g/day) and those who did not. Dietary information was obtained from one-day dietary records collected from the 2016 National Health and Nutrition Survey, which was conducted in 46 prefectures in Japan. The participants aged ≥20 years (n = 21,606; 53.8% women) were classified into the < and ≥350 g/day groups. Inter-group differences for 17 food groups and 27 nutrients were assessed as percentages of consumers (food groups only) and energy-adjusted intake (units/MJ/d or % of total energy intake). Overall, 29% of participants consumed ≥350 g/day of vegetables. The ≥350 g/day group had a higher percentage of consumers and energy-adjusted intakes for all vegetable subgroups than the <350 g/day group. For other food groups, the ≥350 g/day group had higher percentages of consumers for all food groups, except for cereals, eggs, and condiments and seasonings, which showed no significant differences. However, the ≥350 g/day group had a significantly higher energy-adjusted intake for potatoes and other tubers, mushrooms, meats, and condiments and seasonings but a significantly lower value for cereals, eggs, savoury snacks and confectionaries, and beverages. The ≥350 g/day group had a significantly higher intake of almost all (25/27) nutrients, including sodium, than the <350 g/day group. Participants with vegetable intake ≥350 g/day might have a more favourable intake of food groups and nutrients; however, watching for salt intake is necessary when promoting vegetable intake.

Two promising strategies to manage eating behaviour are intuitive eating (IE; following hunger) and pinned eating (PE; ignoring hunger/eating at specific times of the day). This study compared IE and PE on behavioural markers. Participants (n 56) were randomly assigned to IE (n 28) or PE (n 28) and given instructions to follow for 1 week. Drive to eat, behaviour, behavioural intentions and self-efficacy were measured at baseline and follow-up. Participants also evaluated their specific intervention. Comparable changes over time were found for both conditions for many measures. Significant conditions by time interactions were found for healthy snacking, total self-efficacy and self-efficacy for weight loss: those following IE showed an increase in each of these outcomes compared to those following PE who showed no change. The IE group found their intervention more useful than those following PE. Further research is needed to build on these preliminary findings.

The poor assessment of child malnutrition impacts both national-level trends and prioritisation of regions and vulnerable groups based on malnutrition burden. Namibia has reported a high prevalence of malnutrition among children younger than 5 years of age. The present study's aim was to identify the optimal methods for estimating child stunting and wasting prevalence in Namibia using two datasets with suspected poor data quality: Namibia Demographic and Health Surveys (NDHS) (1992–2013) and Namibia Household Income and Expenditure Survey (NHIES), 2015/16. This comparative secondary data analysis used two prevalence estimation methods: WHO flags and PROBIT. WHO flags is the standard analysis method for most national household surveys, while the PROBIT method is recommended for poor quality anthropometry. In NHIES (n 4960), the prevalence of stunting (n 4780) was 30·3 and 20·9 % for the WHO flags and PROBIT estimates, respectively, and the national wasting prevalence (n 4637) was 11·2 and 4·2 %, respectively. The trends in nutritional status from NDHS and NHIES showed improvement across WHO flags and PROBIT until 2013; however, from 2013 to 2016, PROBIT showed smaller increases in stunting and wasting prevalence (2·5 and 0·6 percentage points) than WHO flags (6·6 and 5·0 percentage points). PROBIT identified the Khoisan ethnic group and Northern geographical regions with the highest stunting and wasting prevalence, while WHO flags identified similar prevalence across most groups and regions. The present study supports the recommendation to use PROBIT when poor data quality is suspected for constructing trends, and for targeting regions and vulnerable groups.

This scoping review aimed to identify the breadth of healthcare-based food assistance programmes in the United States and organize them into a typology of programmes to provide implementation guidance to aspiring food assistance programmers in healthcare settings. We searched PubMed, Cochrane, and CINAHL databases for peer-reviewed articles published between 1 January 2010 and 31 December 2021, and mined reference lists. We used content analysis to extract programmatic details from each intervention and to qualitatively analyse intervention components to develop a typology for healthcare institutions in the United States. Eligible articles included descriptions of patient populations served and programmatic details. Articles were not required to include formal evaluations for inclusion in this scoping review. Our search resulted in 8706 abstracts, which yielded forty-three articles from thirty-five interventions. We identified three distinct programme types: direct food provision, referral, and voucher programmes. Programme type was influenced by programme goals, logistical considerations, such as staffing, food storage or refrigeration space, and existence of willing partner CBOs. Food provision programmes (n 13) were frequently permanent and leveraged partnerships with community-based organisations (CBOs) that provide food. Referral programmes (n 8) connected patients to CBOs for federal or local food assistance enrollment. Voucher programmes (n 14) prioritised provision of fruits and vegetables (n 10) and relied on a variety of clinic staff to refer patients to months-long programmes. Healthcare-based implementers can use this typology to design and maintain programmes that align with the needs of their sites and patient populations.

Leptin, a hormone produced by adipose tissue, has been linked to many regulatory pathways. Its role in the complex relationship between obesity and CVD is not yet clear. The aim of the present study was to evaluate whether leptin interferes directly with cardiac function regulation, altering its contractile force character, and hence contributing to different pathological processes. Muscle samples were obtained from human atrial myocardium. Each trial included two samples from the same patient. They were simultaneously electrically stimulated under sustained perfusion to perform isometric contractions. One sample was treated with a high concentration of human recombinant leptin (1 µg/ml). The other was treated with placebo and served as a control. The exhibited contraction forces (CF) and the contraction duration (CD) after 20 min of treatment were normalised by dividing them by the values before the treatment and reported as a percentage. A total of ten successful trials were conducted. Exposure to leptin did not yield a statistically significant variation in both CF and CF. In the treatment group, CF% measured 108 (95 % CI 91, 125) % and CD% measured 95 (95 % CI 90, 101) % after 20 min. In the control group, CF% measured 105 (90 % CI 84, 126) % and CD% measured 92 (95 % CI 80, 105) % after 20 min. We concluded that leptin does not alter the contractile character of human atrial tissues, even in supraphysiological dosage. These results suggest that leptin does not play a role in short-term cardiac regulation.

The objective was to investigate which predictive equations provide the best estimates of resting energy expenditure (REE) in postpartum women with overweight and obesity. Lactating women with overweight or obesity underwent REE measurement by indirect calorimetry, and fat-free mass (FFM) was assessed by dual-energy X-ray absorptiometry at three postpartum stages. Predictive equations based on body weight and FFM were obtained from the literature. Performance of the predictive equations were analysed as the percentage of women whose REE was accurately predicted, defined as a predicted REE within ±10 % of measured REE. REE data were available for women at 10 weeks (n 71), 24 weeks (n 64) and 15 months (n 57) postpartum. Thirty-six predictive equations (twenty-five weight-based and eleven FFM-based) were validated. REE was accurately predicted in ≥80 % of women at all postpartum visits by six predictive equations (two weight-based and four FFM-based). The weight-based equation with the highest performance was that of Henry (weight, height, age 30–60 years) (HenryWH30−60), with an overall mean of 83 % accurate predictions. The HenryWH30−60 equation was highly suitable for predicting REE at all postpartum visits (irrespective of the women's actual age), and the performance was sustained across changes in weight and lactation status. No FFM-based equation was remarkably superior to HenryWH30−60 for the total postpartum period.

The present study assessed dietary diversity and anthropometric status of children attending early development centres in South Africa. In the Vhembe District of Limpopo province, South Africa, 273 children were conveniently chosen from 8 randomly selected early childhood development centres for a cross-sectional study. Data were gathered via a questionnaire administered by the interviewer in June 2021. Height, body weight and mid-upper arm circumference were measured to assess anthropometric status. A 24-h dietary recall was obtained to provide information on dietary diversity. The prevalence of underweight, wasting and stunting was 9, 4 and 26 %, respectively. More than half of the children had a low dietary diversity score, according to the Food and Agriculture Organization scoring system for children. Grains, roots, tubers, dairy products, other fruits and vegetables, and flesh-based foods were the highest consumed food groups. The lowest consumption was for eggs, vitamin A-rich fruits and vegetables, legumes and nuts. Height for age and weight for age were significantly associated with dietary diversity score, but not weight for height. Children who did not meet the reference value of greater than 4 for dietary diversity had a significant risk of being underweight (AOR 0⋅25, 95 % CI 0⋅08, 0⋅75) and stunted (AOR 0⋅32, 95 % CI 0⋅14, 0⋅74). The nutritional status of the children was impacted by a lack of adequate dietary diversity. Young children in rural areas need to receive a wide range of food to promote greater diversification of diets in order to diminish the risk of undernutrition.

Nutrients are an essential part of building and maintaining optimal health. Certain nutrient exposure has been shown to be associated with many important health outcomes, although there is variability among studies. Despite the scientific efforts of many, it is unclear why some well-hypothesised nutrients lack sufficient evidence for clear association with health outcomes. One potential reason for conflicting results is that certain subgroups of patients benefit or are harmed more by adequate or inadequate exposure to certain nutrients. These subgroup-specific effects have historically not been studied, or if they are, it is often in a one-off type of approach where the investigator believes that a subgroup effect could exist based on limited previous data. In the era of big data, improvements can be made in efforts to generate new hypotheses for subgroups of patients and recommendations for precision nutrition can be made. In the present paper, we present a strategy for exploring subgroup-specific effects in nutrient-related studies. This data-driven method can be useful in secondarily exploring which subgroups are harmed/helped most by inadequate/adequate nutrient exposure and could suggest target groups for future clinical trials to test the identified hypotheses. We then present an example study utilizing the National Health and Nutrition Examination Survey (NHANES) data from the years 2001–2006. In this example, a limited selection of nutrients is protective in subgroups of participants with diabetes on their self-reported number of poor mental health days.

The present study aimed to perform the validity and reliability study of the Food Frequency Questionnaire (FFQ) on the frequency of foods rich in antioxidant nutrients and used in Age-Related Eye Diseases (AREDs). In the first interview of the study, the first application of FFQ was carried out, and blank forms of Dietary Records (DRs) were given. For the validity of the FFQ, a total of 12 d (3 days * 4 weeks) of DR were taken. For the reliability of the FFQ, a test–retest application was made with an interval of 4 weeks. The daily intake means of antioxidant nutrients, omega 3 and total antioxidant capacity data obtained from both the FFQ and DR were calculated, and the concordance between the two methods was evaluated with the Pearson Correlation Coefficient (PCC) and Bland–Altman graphs. The present study was carried out at Ege University İzmir/Turkey, Department of Ophthalmology, Retina Unit. The study was conducted with individuals aged ≥50 years who suffered from Age-Related Macular Degeneration (n 100, 72⋅0 ± 8⋅03 years). The values obtained from the test–retest applications for FFQ reliability were the same. The nutrient intake means obtained from the FFQ were similar or significantly higher than DR (P < 0⋅05). In the Bland–Altman graphical approach, the nutrient data were within the limits of agreement, and the PCCs between the two methods were moderately related. Considered together, this FFQ is a suitable tool for determining the dietary intakes of antioxidant nutrients in the Turkish population.

Undernutrition in elders remains under-detected, under-treated, and under-resourced and leads to further weight loss, increased infections, and delay in recovery from illness as well as increased hospital admissions and length of stay. The reports of the findings were fragmented and inconsistent in Ethiopia. Therefore, the main objective of this meta-analysis was to estimate the pooled prevalence of undernutrition and its association with dietary diversity among older persons in Ethiopia. Online databases (Medline, PubMed, Scopus, and Science Direct), Google, Google Scholar, and other grey literature were used to search articles until the date of publication. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline was followed. The random effect model was used to estimate the pooled prevalence; whereas subgroup analysis and meta-regression were performed to identify the probable source of heterogeneity using Stata version 14.0 software. Out of 522 studies accessed, 14 met our criteria and were included in the study. A total of 7218 older people (aged above 60 years old) were included in the study. The pooled proportion of undernutrition among older persons in Ethiopia was 20⋅6 % (95 % CI 17⋅3, 23⋅8). Elders who consumed low dietary diversity scores were strongly associated with undernutrition among older persons. Therefore, promoting appropriate intervention strategies for elders to improve dietary diversity practices and nutritional status is crucial.

Background: Cancer has become a significant public health issue around the world and an increasingly important contributor to disease burdens. In countries like Ethiopia with high nutrient demands, people with chronic diseases like cancer are at a high risk of macro and micronutrient deficiencies. Therefore, the present study attempted to assess dietary diversity and associated factors among adult cancer patients attending treatment at Black Lion Specialized Hospital, Addis Ababa, Ethiopia. Method and Materials: Hospital-based cross-sectional study was conducted from 22 April 2021 to 22 May 2021 on 416 adult cancer patients at Black Lion Specialized Hospital (BLSH). A systematic random sampling technique was applied to select study subjects. Quantitative data were collected using a structured, pretested and interviewer-administered questionnaire. The questionnaire comprised the standard dietary diversity measurement tool, which was adopted from the Food and Technical Assistance (FANTA) then data were entered into EPI INFO software and analysed using Statistical Package for the Social Sciences (SPSS) version 25. Frequency, mean and standard deviation were used to describe variables. A binary logistic regression model was fitted to elicit factors associated with the dietary diversity of cancer patients and a P-value of less than 0⋅2 was used as a cut-off for further analysis. Logistic regression analysis with a 95 % confidence interval (CI) was estimated to measure the strength of association at P < 0⋅05. Results: The present study revealed that 61⋅5 % of patients had low dietary diversity. Being from a family size of five and more (AOR = 1⋅48, 95 % CI 1⋅28, 1⋅83), having no permanent income (AOR = 1⋅31, 95 % CI 1⋅15, 1⋅67), alcohol consumption (AOR = 3⋅97, 95 % CI 1⋅20, 13⋅1), not doing regular physical exercise (AOR = 1⋅83, 95 % CI 1⋅07, 3⋅12), lack of nutritional information (AOR = 2⋅23, 95 % CI 1⋅30, 3⋅82), poor nutritional knowledge (AOR = 1⋅84, 95 % CI 1⋅05, 3⋅25) and minimum meal frequency (AOR = 10⋅7, 95 % CI 5⋅04, 22⋅7) were factors associated with inadequate dietary diversity. Conclusion: The present study showed that the majority of cancer patients had low dietary diversity, suggesting that they are highly vulnerable to micronutrient deficiencies. Therefore, efforts should be strengthened to improve patients’ income level, access to nutrition information and nutritional knowledge.

Consumers intending to eat healthily should consult available information on the energy, salt, sugar and saturated fat content of foods. Some consumers, however, do this more than others do. The objective of this research was to identify distinct subgroups within the group of consumers who intend to eat healthily, segmented according to the timing and frequency of their use of information about energy, salt, sugar and saturated fat. Furthermore, we analysed whether consulting this information actually led to healthier food choices. Data on use of specific nutritional information in a computerised task in which participants made multiple dichotomous food choices (e.g. high-fat v. low-fat cheese) were recorded from 240 participants using process tracing software. Participants could view nutritional information by hovering the mouse over specific areas of the screen. We found three clusters of participants based on use of information about energy, salt, sugar and saturated fat: low, medium and high information users. There was a between-clusters difference in how often the healthy option was chosen (88·95 % with high information v. 67·17 % with low information usage). Presence in the medium and high information clusters was partially predicted by perceived self-efficacy in making healthy choices. It appears that some consumers are very confident of their ability to make healthy choices, which is a reason for making less use of nutritional information prior to making food choices and may result in unhealthy choices. Our findings improve understanding of the conditions needed to develop effective interventions targeted at health-conscious consumers.

Obesity is a growing problem in dogs. Therefore, there is an increasing need of foods for obese dogs with high-fibre content to dilute energies and to reduce energy absorption. Soya hulls are cheap and are widely available as a fibre source. We aimed at evaluating the body condition of dogs fed diets containing 0 % soya hulls (0SH) or 16 % soya hulls (16SH) in replacement of maize. Twelve adult dogs, with 11·3 (se 1·6) kg average body weight (BW), 4·1 (se 0·1) years old and body condition score (BCS) between 4 and 7, were completely randomised assigned (six per treatment) and were fed the 0SH diet according to their maintenance energy requirements or the same amount in grams (g/kg BW0·75) of the 16SH diet once daily for 56 d. The animals were evaluated on days 0 and 57 for BW, BCS (1, very thin to 9, obese), subcutaneous fat thickness in the L7 vertebra using ultrasound (L7), canine BMI (CBMI) and body fat (BF). Data were analysed by the Student's t test and Kruskal–Wallis test (P < 0·05). The change (final – initial) in BW (−0·58 v. −0·49 kg), BCS (−1 v. −1), L7 (−2 v. 0·35 mm), CBMI (−0·85 v. −0·63 kg/m2) and BF (−5·0 v. −5·4 %) of dogs fed the 0SH and 16SH diets, respectively, were not different (P > 0·05). The 16SH diet, with 11·4 % restriction in metabolisable energy, did not change the BCS of adult dogs. Further studies evaluating the supply of soya hulls only to overweight/obese dogs should to be carried out, because these dogs may respond differently than the group evaluated, which had a BCS between 4 and 7 (ideal to overweight).

The present study examined the association of contextual factors (social and food preparation location) with the energy density of meals and snacks consumed in a sample of young Australian adults (18–30 years old) identified using wearable camera technology. Over three consecutive days, a subsample of young adults wore a wearable camera that captured images in 30 s intervals. Eating episodes from 133 participants were annotated for preparation location and social context (covering social interaction and screen use). Over the same period, participants completed daily 24 h recalls. The nutritional composition of meals and snacks was calculated by matching the items identified in the camera to the 24 h recall using time and date stamps. Self-reported data (weight and height) was used to calculate body mass index and (residential postcode) to assign socio-economic status. The association of context and demographic factors with energy density was determined using a mixed linear regression model employing the bootstrap method with bias-corrected and accelerated. In total, 1817 eating episodes were included in the analysis (n 8 preparation unclear and n 15 food components could not be identified excluded). Food prepared within the home was 1⋅1 kJ/g less energy-dense than other preparation locations. Lunches (CI −1⋅7 to −0⋅3) and dinners (CI −1⋅6 to −0⋅5) were both 1⋅0 kJ/g lower in energy density than breakfasts. Snacks were 3⋅5 kJ/g (CI 2⋅8–4⋅1) more energy-dense than breakfasts. Food prepared outside the home and food consumption during snacking appear to be adversely contributing to energy-dense food intake.

This pilot study provides preliminary insights into whether Latino preschool children living in an emerging Latino community (ELC) are meeting recommendations for healthy diet and activity behaviours and whether those behaviours are associated with sociodemographic or home environment variables. Secondary data analysis was conducted utilising cross-sectional baseline survey data from ANDALE Pittsburgh, a home-based intervention study. Measures included parent-reported information on child dietary intake, screen time and the home environment, and objectively measured physical activity and anthropometry. χ2 and Fischer's exact tests were used to determine associations. The study was conducted in an ELC in western Pennsylvania in the US. Fifty-one Latina mothers (age: 33⋅5 ± 6⋅1 years; 63 % Mexican origin; 86 % low acculturation) and their children (age: 3⋅9 ± 1⋅3 years; 55 % male) 2–5 years of age. On average, children consumed 2⋅25 ± 1⋅44 cups of fruits/vegetables, viewed 98⋅7 ± 74⋅2 min of screen time, accumulated 12⋅9 ± 2⋅9 min/h of total physical activity and consumed 15⋅5 ± 26⋅0 kcals of sugar-sweetened beverages per day. Forty-one percent met the fruit/vegetable recommendation, 54 % met the screen time recommendation, 27 % met the physical activity recommendation and 58 % met the sugary drink recommendation. Country of origin (P = 0⋅032) and acculturation (P = 0⋅048) were significantly associated with children meeting sugary drink recommendations. No other relationships were significant. The proportion of children in this sample meeting diet and activity recommendations was mixed. More research with larger sample sizes is needed in ELCs to identify effective intervention strategies for improving health behaviours.