The present study assessed the nutrition information displayed on ready-to-eat packaged foods and the nutritional quality of those food products in Thailand.

In March 2015, the nutrition information panels and nutrition and health claims on ready-to-eat packaged foods were collected from the biggest store of each of the twelve major retailers, using protocols developed by the International Network for Food and Obesity/Non-communicable Diseases Research, Monitoring and Action Support (INFORMAS). The Thai Nutrient Profile Model was used to classify food products according to their nutritional quality as ‘healthier’ or ‘less healthy’.

In total, information from 7205 food products was collected across five broad food categories. Out of those products, 5707 (79·2 %), 2536 (35·2 %) and 1487 (20·6 %) carried a nutrition facts panel, a Guideline Daily Amount (GDA) label and health-related claims, respectively. Only 4691 (65·1 %) and 2484 (34·5 %) of the products that displayed the nutrition facts or a GDA label, respectively, followed the guidelines of the Thai Food and Drug Administration. In total, 4689 products (65·1 %) could be classified according to the Thai Nutrient Profile Model, of which 432 products (9·2 %) were classified as healthier. Moreover, among the 1487 products carrying health-related claims, 1219 (82·0 %) were classified as less healthy. Allowing less healthy food products to carry claims could mislead consumers and result in overconsumption of ready-to-eat food products.

The findings suggest effective policies should be implemented to increase the relative availability of healthier ready-to-eat packaged foods, as well as to improve the provision of nutrition information on labels in Thailand.

We evaluated the extent to which providing training and technical assistance to early childcare centre (ECC) directors, faculty and staff in the implementation of evidence-based nutrition strategies improved the nutrition contexts, policies and practices of ECC serving racially and ethnically diverse, low-income children in Broward County, Florida, USA. The nutrition strategies targeted snack and beverage policies and practices, consistent with Caring for Our Children National Standards.

We used the nutrition observation and document review portions of the Environment and Policy Assessment and Observation (EPAO) instrument to observe ECC as part of a one-group pre-test/post-test evaluation design.

ECC located within areas of high rates of poverty, diabetes, minority representation and unhealthy food index in Broward County, Florida, USA.

Eighteen ECC enrolled, mean 112·9 (sd 53·4) children aged 2–5 years; 12·3 (sd 7·2) staff members; and 10·2 (sd 4·6) children per staff member at each centre.

We found significant improvements in centres’ overall nutrition contexts, as measured by total EPAO nutrition scores (P=0·01). ECC made specific significant gains within written nutrition policies (P=0·03) and nutrition training and education (P=0·01).

Our findings support training ECC directors, faculty and staff in evidence-based nutrition strategies to improve the nutrition policies and practices of ECC serving racially and ethnically diverse children from low-income families. The intervention resulted in improvements in some nutrition policies and practices, but not others. There remains a need to further develop the evaluation base involving the effectiveness of policy and practice interventions within ECC serving children in high-need areas.

There is evidence to suggest that individual components of dietary intake are associated with depressive symptoms. Studying the whole diet, through dietary patterns, has become popular as a way of overcoming intercorrelations between individual dietary components; however, there are conflicting results regarding associations between dietary patterns and depressive symptoms. We examined the associations between dietary patterns extracted using principal component analysis and depressive symptoms, taking account of potential temporal relationships.

Depressive symptoms in parents were assessed using the Edinburgh Postnatal Depression Scale (EPDS) when the study child was 3 and 5 years of age. Scores >12 were considered indicative of the presence of clinical depressive symptoms. Diet was assessed via FFQ when the study child was 4 years of age.

Longitudinal population-based birth cohort.

Mothers and fathers taking part in the Avon Longitudinal Study of Parents and Children when their study child was 3–5 years old.

Unadjusted results suggested that increased scores on the ‘processed’ and ‘vegetarian’ patterns in women and the ‘semi-vegetarian’ pattern in men were associated with having EPDS scores ≥13. However, after adjustment for confounders all results were attenuated. This was the case for all those with available data and when considering a sub-sample who were ‘disease free’ at baseline.

We found no association between dietary patterns and depressive symptoms after taking account of potential confounding factors and the potential temporal relationship between them. This suggests that previous studies reporting positive associations may have suffered from reverse causality and/or residual confounding.

To outline the development of a smartphone-based tool to collect thrice-repeated 24 h dietary recall data in rural Nepal, and to describe energy intakes, common errors and researchers’ experiences using the tool.

We designed a novel tool to collect multi-pass 24 h dietary recalls in rural Nepal by combining the use of a CommCare questionnaire on smartphones, a paper form, a QR (quick response)-coded list of foods and a photographic atlas of portion sizes. Twenty interviewers collected dietary data on three non-consecutive days per respondent, with three respondents per household. Intakes were converted into nutrients using databases on nutritional composition of foods, recipes and portion sizes.

Dhanusha and Mahottari districts, Nepal.

Pregnant women, their mothers-in-law and male household heads. Energy intakes assessed in 150 households; data corrections and our experiences reported from 805 households and 6765 individual recalls.

Dietary intake estimates gave plausible values, with male household heads appearing to have higher energy intakes (median (25th–75th centile): 12 079 (9293–14 108) kJ/d) than female members (8979 (7234–11 042) kJ/d for pregnant women). Manual editing of data was required when interviewers mistook portions for food codes and for coding items not on the food list. Smartphones enabled quick monitoring of data and interviewer performance, but we initially faced technical challenges with CommCare forms crashing.

With sufficient time dedicated to development and pre-testing, this novel smartphone-based tool provides a useful method to collect data. Future work is needed to further validate this tool and adapt it for other contexts.

To describe trends across the intake distribution of total, manufactured and homemade sugar-sweetened beverages (SSB) from 1999 to 2012, focusing on high SSB consumers and on changes by socio-economic status (SES) subgroup.

We analysed data from one 24 h dietary recall from two nationally representative surveys. Quantile regression models at the 50th, 75th and 90th percentiles of energy intake distribution of SSB were used.

1999 Mexican National Nutrition Survey and 2012 Mexican National Health and Nutrition Survey.

School-aged children (5–11 years) and women (20–49 years) for trend analyses (n 7718). Population aged >1 year for 2012 (n 10 096).

Over the 1999–2012 period, there were significant increases in the proportion of total and manufactured SSB consumers (5·7 and 10·7 percentage points), along with an increase in per-consumer SSB energy intake, resulting in significant increases in per-capita total SSB energy intake (142, 247 and 397 kJ/d (34, 59 and 95 kcal/d) in school-aged children and 155, 331 and 456 kJ/d (37, 79 and 109 kcal/d) in women at the 50th, 75th and 90th percentile, respectively). Total and manufactured SSB intakes increased sharply among low-SES children but remained similar among high-SES children during this time span.

Large increases in SSB consumption were seen between 1999 and 2012 during this pre-tax SSB period, particularly for the highest consumers. Trends observed in school-aged children are a clear example of the nutrition transition experienced in Mexico. Policies to discourage high intake of manufactured SSB should continue, joined with strategies to encourage water and low-calorie beverage consumption.

Suboptimal nutrition among children remains a problem among South Asian (SA) families. Appropriate complementary feeding (CF) practices can greatly reduce this risk. Thus, we undertook a systematic review of studies assessing CF (timing, dietary diversity, meal frequency and influencing factors) in children aged <2 years in Pakistan.

Searches between January 2000 and June 2016 in MEDLINE, EMBASE, Global Health, Web of Science, OVID Maternity & Infant Care, CINAHL, Cochrane Library, BanglaJOL, POPLINE and WHO Global Health Library. Eligibility criteria: primary research on CF practices in SA children aged 0–2 years and/or their families. Search terms: ‘children’, ‘feeding’ and ‘Asians’ with their derivatives. Two researchers undertook study selection, data extraction and quality appraisal (EPPI-Centre Weight of Evidence).

From 45 712 results, seventeen studies were included. Despite adopting the WHO Infant and Young Child Feeding guidelines, suboptimal CF was found in all studies. Nine of fifteen studies assessing timing recorded CF introduced between 6 and 9 months. Five of nine observed dietary diversity across four of seven food groups; and two of four, minimum meal frequency in over 50 % of participants. Influencing factors included lack of CF knowledge, low maternal education, socio-economic status and cultural beliefs.

This is the first systematic review to evaluate CF practices in Pakistan. Campaigns to change health and nutrition behaviour are needed to meet the substantial unmet needs of these children.

To identify generational differences in the dietary patterns of Brazilian adults born between 1934 and 1975.

A cross-sectional study from the baseline of the multicentre Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort. Year of birth was categorized into three birth generations: Traditionalists (born between 1934 and 1945); Baby Boomers (born between 1946 and 1964); and Generation X (born between 1965 and 1975). Food consumption was investigated using an FFQ. Latent class analysis (LCA) was used to identify data-driven dietary patterns.

Brazil.

Individuals (n 15 069) aged 35–74 years.

A three-class model was generated from the LCA for each birth generation. Generation X presented higher energy intakes (kJ/kcal) from soft drinks (377·4/90·2) and sweets (1262·3/301·7) and lower energy intakes from fruit (1502·5/359·1) and vegetables (311·3/74·4) than Baby Boomers (283·7/67·8, 1047·7/250·4, 1756·0/419·7 and 365·3/87·3, respectively) and Traditionalists (186·2/44·5, 518·8/124·0, 1947·7/465·5 and 404·6/96·7, respectively). For Baby Boomers and Generation X, we found food patterns with similar structures: mixed pattern (22·7 and 29·7 %, respectively), prudent pattern (43·5 and 34·9 %, respectively) and processed pattern (33·8 and 35·4 %, respectively). Among Traditionalists, we could also identify mixed (30·9 %) and prudent (21·8 %) patterns, and a third pattern, named restricted dietary pattern (47·3 %).

The younger generation presented higher frequencies of consuming a pattern characterized by a low nutritional diet, compared with other generations, indicating that they may age with a greater burden of chronic diseases. It is important to develop public health interventions promoting healthy foods, focusing on the youngest generations.

The present study aimed to develop and validate a questionnaire assessing social support for healthy eating in a French-Canadian population.

A twenty-one-item questionnaire was developed. For each item, participants were asked to rate the frequency, in the past month, with which the actions described had been done by family and friends in two different environments: (i) at home and (ii) outside of home. The content was evaluated by an expert panel. A validation study sample was recruited and completed the questionnaire twice. Exploratory factor analysis was performed on items to assess the number of subscales. Internal consistency reliability was assessed using Cronbach’s ɑ. Test–retest reliability was evaluated with intraclass correlations between scores of the two completions.

Online survey.

Men and women from the Québec City area (n 150).

The content validity assessment led to a few changes, resulting in a twenty-two-item questionnaire. Exploratory factor analysis revealed a two-factor structure for both environments, resulting in four subscales: supportive actions at home; non-supportive actions at home; supportive actions outside of home; and non-supportive actions outside of home. Two items were removed from the questionnaire due to low loadings. The four subscales were found to be reliable (Cronbach’s ɑ=0·82–0·94; test–retest intraclass correlation=0·51–0·70).

The Social Support for Healthy Eating Questionnaire was developed for a French-Canadian population and demonstrated good psychometric properties. This questionnaire will be useful to explore the role of social support and its interactions with other factors in predicting eating behaviours.

To (i) evaluate the extent to which Coca-Cola’s ‘Transparency Lists’ of 218 researchers that it funds are comprehensive; (ii) map all scientific research acknowledging funding from Coca-Cola; (iii) identify those institutions, authors and research topics funded by Coca-Cola; and (iv) use Coca-Cola’s disclosure to gauge whether its funded researchers acknowledge the source of funding.

Using Web of Science Core Collection database, we retrieved all studies declaring receipt of direct funding from the Coca-Cola brand, published between 2008 and 2016. Using conservative eligibility criteria, we iteratively removed studies and recreated Coca-Cola’s transparency lists using our data. We used network analysis and structural topic modelling to assess the structure, organization and thematic focus of Coca-Cola’s research enterprise, and string matching to evaluate the completeness of Coca-Cola’s transparency lists.

Three hundred and eighty-nine articles, published in 169 different journals, and authored by 907 researchers, cite funding from The Coca-Cola Company. Of these, Coca-Cola acknowledges funding forty-two authors (<5 %). We observed that the funded research focuses mostly on nutrition and emphasizes the importance of physical activity and the concept of ‘energy balance’.

The Coca-Cola Company appears to have failed to declare a comprehensive list of its research activities. Further, several funded authors appear to have failed to declare receipt of funding. Most of Coca-Cola’s research support is directed towards physical activity and disregards the role of diet in obesity. Despite initiatives for greater transparency of research funding, the full scale of Coca-Cola’s involvement is still not known.

Short screeners for assessing dietary quality are lacking in Asia. We recently developed a short thirty-seven-item diet screener (DS). The present study aimed to evaluate reproducibility and relative validity of the DS in assessing a priori dietary quality indices (DQI; i.e. the Alternative Healthy Eating Index-2010 (AHEI-2010), alternate Mediterranean Diet (aMed) and Dietary Approaches to Stop Hypertension (DASH) diet) and intakes of selected foods.

DS administration and biomarker measurement took place twice within a 4-month interval. A 163-item FFQ was administered one month after the second DS administration.

Singapore, a multi-ethnic urban Asian country.

Singapore residents (n 161) aged 18–79 years, of Chinese, Malay and Indian ethnicity.

Reproducibility coefficients for the two DS were 0·71 (DQI) and 0·65 (food groups). Correlations (ρ) between mean DS and FFQ DQI scores were 0·51 (AHEI-2010), 0·50 (aMed) and 0·61 (DASH; all P<0·05). Cohen’s weighted kappa indicated moderate agreement between the two measures (κw=0·48–0·58). DS DQI scores were associated with concentrations of β-cryptoxanthin (AHEI-2010, ρ=0·26; P<0·05), odd-chain SFA (aMed, ρ=0·24; DASH, ρ=0·25; both P<0·05), and enterolactone, total carotenoids, PUFA and α-linolenic acid (all scores, ρ=0·17–0·30; all P<0·05). Scores were not associated with isoflavone or long-chain n-3 PUFA concentrations.

A short screener can be used to assess DQI with good reproducibility and relative validity compared with a longer FFQ in an Asian population.

Front-of-package (FOP) marketing strategies of a wide variety of beverages were catalogued to examine the prevalence of each strategy prior to a sweeping Chilean restriction of child-directed marketing aimed at reducing obesity-related disease among Chile’s youth.

Photographs of 1005 beverage packages were quantitatively content-analysed to code whether a variety of child-directed, health-oriented and other marketing strategies (e.g. sales promotions) were present on each product’s FOP. Strategies were then analysed based on beverages’ product category, total sugar, energy and tax status (beverages with added sugars are taxed at different rates).

Photographs were taken in six urban supermarkets in Santiago, Chile, representing five different supermarket chains.

Beverages using child-directed characters or nature/fruit references were higher in total sugar and beverages with child-directed characters or childhood/family references were higher in energy than beverages without these respective strategies. Of the beverages taxed at the highest rate (greatest amount of added sugars), 49 % used nutrition and health appeals and 80 % used nature or fruit appeals. Plain waters and plain milks were less likely than other selected product categories to use health-oriented appeals or multiple FOP strategies in combination.

FOP marketing on beverages varied according to the nutritional quality of the product, with heavier use of health-oriented and child-directed strategies in less healthy products. Marketing activities warrant continued observation to evaluate how industry responds to new marketing restrictions as these restrictions are evaluated in the light of existing taxes and other regulatory efforts to improve diets and reduce obesity-related disease.

To evaluate the performance of waist-to-height ratio (WHtR) in predicting cardiometabolic outcomes and compare cut-off points for Brazilian adults.

Cross-sectional study. WHtR areas under the curve (AUC) were compared with those for BMI, waist circumference (WC) and waist-to-hip ratio (WHR). The outcomes of interest were hypertension, diabetes, hypertriacylglycerolaemia and presence of at least two components of metabolic syndrome (≥2 MetS). Cut-offs for WHtR were compared and validity measures were estimated for each point.

Teaching and research institutions in six Brazilian state capitals, 2008–2010.

Women (n 5026) and men (n 4238) aged 35–54 years who participated in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) at baseline.

WHtR age-adjusted AUC ranged from 0·68 to 0·72 in men and 0·69 to 0·75 in women, with smaller AUC for hypertriacylglycerolaemia and the largest for ≥2 MetS. WHtR performed better than BMI for practically all outcomes; better than WHR for hypertension in both sexes; and displayed larger AUC than WC in predicting diabetes mellitus. It also offered better discriminatory power for ≥2 MetS in men; and was better than WC, but not WHR, in women. Optimal cut-off points of WHtR were 0·55 (women) and 0·54 (men), but they presented high false-negative rate compared with 0·50.

We recommend using WHtR (which performed similarly to, or better than, other available indices of adiposity) as an anthropometric index with good discriminatory power for cardiometabolic outcomes in Brazilian adults, indicating the already referenced limit of WHtR≥0·50.

Abdominal obesity (AO) is a relative risk factor for cardiovascular events. We aimed to determine the 6-year incidence of AO and its risk factors among Tehranian adults.

In this population-based cohort study, non-abdominally obese participants, aged ≥20 years, were followed for incidence of AO. Cumulative incidence and incidence rate of AO were calculated for each sex. Cox proportional hazard regression was used to determine the association of potential risk factors including age, BMI, dysmetabolic state, smoking, marital status, educational level and physical activity (PA).

A total of 5044 participants (1912 men) were followed for a median of 6 years. Mean age was 37·7 (sd 13·5) years at baseline, with mean BMI of 24·3 (sd 3·1) kg/m2 (men, 23·0 (sd 2·4) kg/m2; women, 25·0 (sd 3·2) kg/m2). During follow-up, 3093 (1373 men) developed AO with total cumulative incidence of 76·02, 83·59 and 70·90 %, for the whole population, men and women, respectively. Corresponding incidence rates were 96·0, 138·7 and 77·1 per 1000 person-years. The highest incidence rate was observed during their 30s and 50s, in men and women, respectively. Subjects with dysmetabolic state in both sexes, married women, men with lower PA and higher educational levels at baseline were at higher risk of AO.

The incidence of AO is high among Tehranian adults, especially in young men. The risk factors for developing AO should be highlighted to halt this growing trend of AO.

Hunger relief agencies have a limited capacity to monitor the nutritional quality of their food. Validated measures of food environments, such as the Healthy Eating Index-2010 (HEI-2010), are challenging to use due to their time intensity and requirement for precise nutrient information. A previous study used out-of-sample predictions to demonstrate that an alternative measure correlated well with the HEI-2010. The present study revised the Food Assortment Scoring Tool (FAST) to facilitate implementation and tested the tool’s performance in a real-world food pantry setting.

We developed a FAST measure with thirteen scored categories and thirty-one sub-categories. FAST scores were generated by sorting and weighing foods in categories, multiplying each category’s weight share by a healthfulness parameter and summing the categories (range 0–100). FAST was implemented by recording all food products moved over five days. Researchers collected FAST and HEI-2010 scores for food availability and foods selected by clients, to calculate correlations.

Five food pantries in greater Minneapolis/St. Paul, Minnesota, USA.

Food carts of sixty food pantry clients.

The thirteen-category FAST correlated well with the HEI-2010 in prediction models (r = 0·68). FAST scores averaged 61·5 for food products moved, 63·8 for availability and 62·5 for client carts. As implemented in the real world, FAST demonstrated good correlation with the HEI-2010 (r = 0·66).

The FAST is a flexible, valid tool to monitor the nutritional quality of food in pantries. Future studies are needed to test its use in monitoring improvements in food pantry nutritional quality over time.

To evaluate the predictive ability of mid-upper arm circumference (MUAC) for detecting severe wasting (weight-for-height Z-score (WHZ) <−3) among children aged 6–59 months.

Cross-sectional survey.

Rural Uttar Pradesh, India.

Children (n 18 456) for whom both WHZ (n 18 463) and MUAC were available.

The diagnostic test accuracy of MUAC for severe wasting was excellent (area under receiver-operating characteristic curve = 0·933). Across the lower range of MUAC cut-offs (110–120 mm), specificity was excellent (99·1–99·9 %) but sensitivity was poor (13·4–37·2 %); with higher cut-offs (140–150 mm), sensitivity increased substantially (94·9–98·8 %) but at the expense of specificity (37·6–71·9 %). The optimal MUAC cut-off to detect severe wasting was 135 mm. Although the prevalence of severe wasting was constant at 2·2 %, the burden of severe acute malnutrition, defined as either severe wasting or low MUAC, increased from 2·46 to 17·26 % with cut-offs of <115 and <135 mm, respectively. An MUAC cut-off <115 mm preferentially selected children aged ≤12 months (OR=11·8; 95 % CI 8·4, 16·6) or ≤24 months (OR=23·4; 95 % CI 12·7, 43·4) and girls (OR=2·2; 95 % CI 1·6, 3·2).

Based on important considerations for screening and case detection in the community, modification of the current WHO definition of severe acute malnutrition may not be warranted, especially in the Indian context.

To assess if there is a difference in salt intake (24 h urine collection and dietary recall) and dietary sources of salt (Na) on weekdays and weekend days.

A cross-sectional study of adults who provided one 24 h urine collection and one telephone-administered 24 h dietary recall.

Community-dwelling adults living in the State of Victoria, Australia.

Adults (n 598) who participated in a health survey (53·5 % women; mean age 57·1 (95 % CI 56·2, 58·1) years).

Mean (95 % CI) salt intake (dietary recall) was 6·8 (6·6, 7·1) g/d and 24 h urinary salt excretion was 8·1 (7·8, 8·3) g/d. Mean dietary and 24 h urinary salt (age-adjusted) were 0·9 (0·1, 1·6) g/d (P=0·024) and 0·8 (0·3, 1·6) g/d (P=0·0017), respectively, higher at weekends compared with weekdays. There was an indication of a greater energy intake at weekends (+0·6 (0·02, 1·2) MJ/d, P=0·06), but no difference in Na density (weekday: 291 (279, 304) mg/MJ; weekend: 304 (281, 327) mg/MJ; P=0·360). Cereals/cereal products and dishes, meat, poultry, milk products and gravy/sauces accounted for 71 % of dietary Na.

Mean salt intake (24 h urine collection) was more than 60 % above the recommended level of 5 g salt/d and 8–14 % more salt was consumed at weekends than on weekdays. Substantial reductions in the Na content of staple foods, processed meat, sauces, mixed dishes (e.g. pasta), convenience and takeaway foods are required to achieve a significant consistent reduction in population salt intake throughout the week.

To understand parents’ knowledge and use of nutrition labelling and to explore its associated factors.

Cross-sectional survey.

Two schools providing a nine-year educational programme in Putuo District, Shanghai, China, were selected for the study. Information was included on demographic data and knowledge of the Chinese Food Pagoda.

Students and their parents (n 1770) participated in a questionnaire survey.

Of questionnaires, 1766 were completed (response rate 99·8 %). Utilization rate of nutrition labelling was 19·3 %. Among 624 parents knowing nutrition labelling, 22·1 % understood all the information included, 70·7 % understood it partially and 7·2 % could not understand it at all. Use of nutrition labelling by parents was related to the following factors (OR; 95 % CI): high educational level of parent (1·465; 1·165, 1·841), parent’s knowledge of the Chinese Food Pagoda (1·333; 1·053, 1·688), parent’s consumption of top three snacks which are unhealthy (1·065; 1·023, 1·109), parent’s assumption that nutrition labelling would affect their choice of food (1·522; 1·131, 2·048), student’s willingness to learn about labels (1·449; 1·093, 1·920) and student’s knowledge and use of labels (2·214; 1·951, 2·513).

Parents’ knowledge and use of nutrition labelling are still at a lower level, and some information included in the nutrition labels is not understood by parents. The forms of the existing nutrition labelling need to be continuously improved to facilitate their understanding and usefulness. It is necessary to establish nutrition projects focusing on education and use of nutrition labels which help parents and their children make the right choices in selecting foods.

To systematically review the design, implementation and effectiveness of mass media and nutrition education interventions for improving infant and young child feeding (IYCF) practices and related psychosocial factors.

A search of PubMed, Embase and PsycINFO databases, a Google search, and a consultation with experts in the field of IYCF performed in July 2016.

Low- and middle-income countries, as defined by the World Bank Group.

Eligible studies: included a mass media component (with or without nutrition education); conducted a pre–post evaluation (with or without a control group); assessed IYCF knowledge, attitudes, beliefs and/or practices; and were published in English between 2000 and present.

Eighteen unique studies were identified that examined the effect of mass media (types included: television; print; voice and/or SMS (text) messages; radio; megaphones/loudspeakers; videos; social media; songs/dramas) and nutrition education interventions on IYCF practices within thirteen countries. Of these, fifteen studies reported improvements in breast- and/or complementary feeding practices, using indicators recommended by the WHO, and six studies reported improvements in related psychosocial factors. However, little detail was provided on the use of formative research, a formal behaviour change theory and behaviour change techniques. Few studies reported both dose delivered and participants’ exposure to the intervention.

Despite evidence of effectiveness, few common elements in the design of interventions were identified. Future research should consistently report these details to open the ‘black box’ of IYCF interventions, identify effective design components and ensure replicability.

To examine the association between food choice and distress in a large national sample of American Indians/Alaska Natives (AI/AN) with type 2 diabetes.

Participants completed a sociodemographic survey, an FFQ and the Kessler-6 Distress Scale. Foods were identified as ‘healthy’ or ‘unhealthy’ using a classification grounded in the health education provided by the programme case managers; healthy and unhealthy food scores were calculated using reported intake frequencies. Pearson’s correlation coefficients for distress and food scores were calculated for all participants and by gender. Multiple linear regression models stratified by gender assessed the association between distress and food scores, controlling for sociodemographics and duration of type 2 diabetes.

Rural AI reservations and AN villages.

AI/AN (n 2484) with type 2 diabetes.

Both males (34·9 %) and females (65·1 %) had higher healthy food scores than unhealthy scores. In bivariate analysis, distress level had a significant negative correlation with healthy food scores among female participants, but the association was not significant among males. Significant positive correlations between distress and unhealthy food scores were found in both genders. In the final multivariate models, healthy food scores were not significantly related to distress; however, unhealthy food scores showed significant positive relationships with distress for both genders (females: β=0·078, P=0·0007; males: β=0·139, P<0·0001).

Health professionals working with AI/AN diagnosed with type 2 diabetes should offer food choice strategies during difficult times and recognize that males may be more likely than females to select unhealthy foods when distressed.