Geographic measurement of diets is generally not available at areas smaller than a national or provincial (state) scale, as existing nutrition surveys cannot achieve sample sizes needed for an acceptable statistical precision for small geographic units such as city subdivisions.

Using geocoded Nielsen grocery transaction data collected from supermarket, supercentre and pharmacy chains combined with a gravity model that transforms store-level sales into area-level purchasing, we developed small-area public health indicators of food purchasing for neighbourhood districts. We generated the area-level indicators measuring per-resident purchasing quantity for soda, diet soda, flavoured (sugar-added) yogurt and plain yogurt purchasing. We then provided an illustrative public health application of these indicators as covariates for an ecological spatial regression model to estimate spatially correlated small-area risk of type 2 diabetes mellitus (T2D) obtained from the public health administrative data.

Greater Montreal, Canada in 2012.

Neighbourhood districts (n 193).

The indicator of flavoured yogurt had a positive association with neighbourhood-level risk of T2D (1·08, 95 % credible interval (CI) 1·02, 1·14), while that of plain yogurt had a negative association (0·93, 95 % CI 0·89, 0·96). The indicator of soda had an inconclusive association, and that of diet soda was excluded due to collinearity with soda. The addition of the indicators also improved model fit of the T2D spatial regression (Watanabe–Akaike information criterion = 1765 with the indicators, 1772 without).

Store-level grocery sales data can be used to reveal micro-scale geographic disparities and trends of food selections that would be masked by traditional survey-based estimation.

Low dietary guideline adherence is persistent, but there is limited understanding of how individuals with varying socio-economic backgrounds reach a certain dietary intake. We investigated how quantitative and qualitative data on dietary guidelines adherence correspond and complement each other, to what extent determinants of guideline adherence in quantitative data reflect findings on determinants derived from qualitative data and which of these determinants emerged as interdependent in the qualitative data.

This mixed-methods study used quantitative questionnaire data (n 1492) and qualitative data collected via semi-structured telephone interviews (n 24). Quantitative data on determinants and their association with total guideline adherence (scored 0–150) were assessed through linear regression. Directed content analysis was used for qualitative data.

Dutch urban areas.

Adults aged 18–65 years.

A range of determinants emerged from both data sources, for example higher levels of cognitive restraint (β 5·6, 95 % CI 4·2, 7·1), habit strength of vegetables (β 4·0, 95 % CI 3·3, 4·7) and cooking skills (β 4·7, 95 % CI 3·5, 5·9), were associated with higher adherence. Qualitative data additionally suggested the influence of food prices, strong dietary habits and the social aspect of eating, and for the determinants cognitive restraint, habit strength related to vegetables, food prices and home cooking, some variation between interviewees with varying socio-economic backgrounds emerged in how these determinants affected guideline adherence.

This mixed-methods exploration provides a richer understanding of why adults with varying socio-economic backgrounds do or do not adhere to dietary guidelines. Results can guide future interventions promoting healthy diets across populations.

Association was found between tea and neural tube defects. However, few studies investigated the relationship between tea consumption and blood folate levels. We aimed to investigate the association between tea consumption and plasma folate concentrations among women aged 18–30 years in different ethnicities of China.

Data were obtained from a national cross-sectional study conducted from 2005 to 2006 of women aged 18–30 years in China. Socio-demographic characteristics and lifestyle were obtained from a questionnaire. Dietary folate intake was determined by 24-h dietary recall. Plasma folate concentrations were measured by a microbiological assay. Multiple linear regression model was used to calculate partial regression coefficients after adjusting for confounding factors.

Nine provinces or autonomous regions in China.

A total of 2932 women aged 18–30 years in China.

After stratifying by ethnicity and tea type, tea consumption was significantly positively associated with plasma folate levels in Han women who drank unfermented tea weekly (β = 0·067, and P = 0·037) or daily (β = 0·119, and P = 0·031) and in Uighur women who drank fermented tea weekly (β = 0·325, and P = 0·028). For women who drank unfermented tea in Han ethnicity, weekly and daily tea drinkers had 6·77 % (95 % CI: 6·36 %, 7·21 %) and 7·13 % (95 % CI: 6·40 %, 7·96 %) increase in plasma folate concentration compared with no tea drinkers.

There is a suggestion of possible positive association between unfermented tea drinking in Han ethnicity and plasma folate concentrations, for Chinese women aged 18–30 years. The relationship between tea drinking in other ethnic groups and plasma folate still needs to be further explored.

This study aimed to examine cross-sectional and longitudinal associations between dietary intake and educational outcomes (EO) in Australian first-year university students.

This cross-sectional and longitudinal study measured outcomes of interest at three points over 1 year. Measures included self-reported dietary patterns and dietary intake via a three-day estimated food record. Objective EO (corresponding semester grade point average (GPA), overall GPA and graduation status) variables were extracted from academic records. Cross-sectional and longitudinal associations were examined using regression models and generalised estimating equations, respectively.

A large university in Queensland, Australia.

Participants (n 80) were first-year students who had completed high school in the previous year.

Some significant associations were found with semester GPA, including: (a) moderate positive associations between serves of vegetables and semester GPA at time point 2 and over time; and (b) a weak negative association between Na intake and semester GPA at time point 2. Although insignificant, meaningful negative associations were found between alcohol consumption and semester GPA at time point 1 and over time. Some significant associations were also found with graduation status, including: (a) a positive association between meeting Australian carbohydrate recommendations and graduation status; and (b) a negative association between Fe intake and graduation status, both at time point 1.

Both cross-sectional and longitudinal findings highlight positive associations between vegetable intake and EO and negative associations between alcohol consumption and EO. Further relevant work is needed with larger, more variable samples in demographic, dietary and EO characteristics.

The aim of this study is to assess the validity and reliability of the Adult Eating Behaviour Questionnaire (AEBQ-TR) for adults.

Hunot et al. (2016) developed the original questionnaire, which was modified and translated into Turkish. On data collected from adults, construct validity was assessed using exploratory factor analysis and confirmatory factor analysis. Pearson’s and Cronbach’s correlation coefficients were used to evaluate reliability and validity (P < 0·05).

This research was carried out in Ankara, Turkey.

A total of 311 adults from Ankara (148 men and 163 women) took part in the study. Seventy-two of these adults take the retest.

In the present study, 311 adults with a mean age of 29·3 ± 11·3 years participated. Factor loadings ranged from 0·404 to 0·907. In general, food approach and food avoidance scales showed a positive correlation within themselves. According to the results of confirmatory factor analysis and goodness-of-fit indicators, the seven-factor model showed a better model fit in the Turkish data (chi-square/degrees of freedom = 2·137, root mean error of approximation: 0·061, comparative fit index: 0·884, and normed fit index: 0·850). Higher BMI was associated with higher Emotional Over-eating, higher Enjoyment of the Food, lower Food Satiety and lower Emotional Under-eating.

The Turkish AEBQ is a valid and reliable tool for 20- to 65-year adults to determine appetitive properties related to the aetiology of weight change and especially obesity risk. Besides, AEBQ testing is required for validation in early and late adulthood.

The present study was conducted to assess the current status of iodine-deficiency disorders (IDD) in the National Capital Region of Delhi (NCR Delhi) and evaluate the implementation and impact of the National Iodine Deficiency Disorders Control Programme (NIDDCP).

Cross-sectional study.

School-going children (n 1230) in the age group of 6–12 years were enrolled from thirty primary schools in the Municipal Corporation of Delhi. Thirty schools were selected using the probability-proportional-to-size cluster sampling methodology. In each identified school forty-one children were surveyed. Urine and salt samples were collected and studied for iodine concentration. A total of sixty salt samples from retail level were also collected.

Schoolchildren aged 6–12 years.

The median urinary iodine excretion (UIE) was found to be 198·4 μg/l. The percentage of children with UIE levels of <20·0, 20·0–49·9, 50·0–99·9 and ≥100·0 μg/l was 1·9, 4·3, 9·5 and 84·2 %, respectively. The proportion of households consuming adequately iodized salt (salt with iodine levels of at least 15 ppm at consumption level) was 88·8 %. The assessment of iodine content of salt revealed that only 6·1 % of the families were consuming salt with iodine content less than 7 ppm. At retail level 88·3 % of salt samples had >15 ppm iodine.

Significant progress has been achieved towards elimination of IDD from NCR Delhi. There is a need for further strengthening of the system to monitor the quality of iodized salt provided to the beneficiaries under the universal salt iodization programme and so eliminate IDD from NCR Delhi.

Evidence on the relationship between sleep duration and irregularity in daily energy intake with diet quality in Iranian adults is scarce. We aimed to evaluate the association of sleep duration with diet quality and irregularity in daily energy intake.

This is a cross-sectional study.

The study was performed in healthcare centres in Tehran.

739 adults aged 20–59 years were recruited. Dietary intake was assessed by a FFQ and three 24-h dietary recalls. Diet quality was assessed using the Healthy Eating Index-2015 (HEI-2015). An irregularity score of daily energy intake was calculated based on the deviation from the 3-d mean energy intake. Sleep duration was estimated using self-reported nocturnal sleep duration by each person.

The mean age of the study participants was 44·4 ± 10·7 years; 70 % were women. The mean nocturnal sleep duration, HEI score and irregularity score were 6·7 ± 1·22 h/d, 52·5 ± 8·55 and 22·9 + 19, respectively. After adjusting for potential confounders, sleep duration was not associated with adherence to HEI-2015 (OR: 1·16; 95 % CI 0·77, 1·74). Longer sleep duration was marginally associated with a lower odd of irregularity in daily energy intake. However, after adjustment for various confounders, this association was not significant (OR: 0·82; 95 % CI 0·50, 1·33; Ptrend = 0·45). No significant interaction was observed between sleep duration and irregularity in daily energy intake in relation to adherence to HEI-2015 (Pinteraction = 0·48).

We found that sleep duration was not associated with adherence to HEI-2015 and irregularity in daily energy intake. Further prospective studies are warranted.

We examined the association between food insecurity and positive childhood experiences (PCE).

Outcome measure was number of PCE and seven PCE constructs. Food insecurity was assessed with a three-category measure that ascertained whether the respondent could afford and choose to eat nutritious food. We then used bivariate and multivariable Poisson and logistic regressions to analyse the relationship between food insecurity and the outcome measures. The analyses were further stratified by age (≤ 5, 6–11 and 12–17 years).

The National Survey of Children’s Health (NSCH) from 2017 to 2020, a nationally representative sample of children and adolescents in the USA.

Parents/caregivers who reported on their children’s experiences of PCE and food insecurity from the 2017–2020 NSCH (n 114 709).

Descriptively, 22·13 % of respondents reported mild food insecurity, while 3·45 % of respondents reported moderate to severe food insecurity. On multivariable Poisson regression analyses, there was a lower rate of PCE among children who experienced mild (incidence rate ratio (IRR) = 0·93; 95 % CI 0·92, 0·94) or moderate/severe food insecurity (IRR = 0·84; 95 % CI 0·83, 0·86) compared with those who were food secure. We found an inverse relationship between food insecurity and rate of PCE across all age categories.

Our study finding lends evidence to support that interventions, public health programmes, as well as public health policies that reduce food insecurity among children and adolescents may be associated with an increase in PCE. Longitudinal and intervention research are needed to examine the mechanistic relationship between food insecurity and PCE across the life course.

The purpose of the current study was to cross-culturally adapt and validate an online questionnaire to assess eating habits and physical activity of university students under confinement due to coronavirus disease (COVID-19).

Generation of a cross-sectional online survey to university students conducted during confinement due to COVID-19. The study was divided into two phases.

Students, Chile.

Phase 1 considered the process of translation and back translation, expert panel, cultural adaptation and the generation of a pilot to validate a preliminary format of the questionnaire. In Phase 2, information from the instrument was collected from two hundred and sixty-eight university students, ages 16 to 30 years old, with a mean age of 21·6 (3·3) The major proportion of participants were female (82 %).

The adapted questionnaire was statistically validated in three dimensions: (A) eating habits and behaviours during quarantine, (B) perception of risk and (C) physical activity changes during the quarantine. The reliability of Cronbach’s α for dimensions A, B and C was 0·59, 0·85 and 0·97, respectively. The complete questionnaire obtained 0·61 in internal consistency and 0·61 (0·58–0·67) ICC reliability. A statistically significant positive correlation matrix was observed.

This questionnaire is a practical tool to obtain accurate information about the relation of COVID-19 confinement on people’s eating habits and physical activity. Therefore, it could contribute to establishing appropriate strategies to prevent negative effects on people’s health.

To test whether adherence to the Mediterranean diet, the Dietary Approaches to Stop Hypertension (DASH) or a dietary pattern in-line with the 2015–2020 Dietary Guidelines for Americans (DGA) was associated with obesity.

24-h dietary recall data from the Canadian Community Health Survey (CCHS)-Nutrition, 2004 and 2015 cycles, were analysed. Diet quality index scores were computed for the Mediterranean-Style Dietary Pattern Score (MSDPS), a DASH index and the 2015 Dietary Guidelines for Americans Adherence Index (DGAI). Higher scores indicated greater adherence. Association between scores and obesity was examined using logistic regression, adjusting for age, sex, physical activity, smoking status, sequence of dietary recall and alcohol and energy intake.

Canada (excluding territories and the institutionalised population).

Canadian adults (≥ 18 years), non-pregnant and non-breast-feeding; 11 748 from CCHS 2004 and 12 110 from CCHS 2015. The percentage of females in each sample was 50 %.

Mean MSDPS, DASH and DGAI scores were marginally but significantly higher in CCHS 2015 than in CCHS 2004. Those affected by obesity obtained lower scores for all indexes in CCHS 2004 (OR 10th v. 90th percentile for DASH: 2·23 (95 % CI 1·50, 3·32), DGAI: 3·01 (95 % CI 1·98, 4·57), MSDPS: 2·02 (95 % CI 1·14, 3·58)). Similar results were observed in CCHS 2015; however, results for MSDPS were not significant (OR 10th v. 90th percentile for DASH: 2·45 (95 % CI 1·72, 3·49), DGAI: 2·73 (95 % CI 1·85, 4·03); MSDPS: 1·30 (95 % CI 0·82, 2·06)).

Following DASH or the 2015–2020 DGA was associated with a lower likelihood of obesity. Findings do not indicate causation, as the data are cross-sectional.