To assess the relationship between programme attendance in a produce prescription (PRx) programme and changes in cardiovascular risk factors.

The Georgia Food for Health (GF4H) programme provided six monthly nutrition education sessions, six weekly cooking classes and weekly produce vouchers. Participants became programme graduates attending at least 4 of the 6 of both the weekly cooking classes and monthly education sessions. We used a longitudinal, single-arm approach to estimate the association between the number of monthly programme visits attended and changes in health indicators.

GF4H was implemented in partnership with a large safety-net health system in Atlanta, GA.

Three hundred thirty-one participants living with or at-risk of chronic disease and food insecurity were recruited from primary care clinics. Over three years, 282 participants graduated from the programme.

After adjusting for programme site, year, participant sex, age, race and ethnicity, Supplemental Nutrition Assistance Program participation and household size, we estimated that each additional programme visit attended beyond four visits was associated with a 0·06 kg/m2 reduction in BMI (95 % CI –0·12, –0·01; P = 0·02), a 0·37 inch reduction in waist circumference (95 % CI –0·48, –0·27; P < 0·001), a 1·01 mmHg reduction in systolic blood pressure (95 % CI –1·45, –0·57; P < 0·001) and a 0·43 mmHg reduction in diastolic blood pressure (95 % CI –0·69, –0·17; P = 0·001).

Each additional cooking and nutrition education visit attended beyond the graduation threshold was associated with modest but significant improvements in CVD risk factors, suggesting that increased engagement in educational components of a PRx programme improves health outcomes.

The current study was conducted to assess the nutritional status and associated risk factors among foreign students residing at King Saud University for different periods and to explore its correlations.

A cross-sectional study was conducted during the spring semester of 2018. A total of 400 male students aged 18–35 years had participated in the current study after signing a written consent form according to Helsinki Declaration.

A structural questionnaire was used to collect data on daily food intake and habits and socio-economic characteristics. Nutrients of food intake were assessed using the Esha programme and compared with that of dietary requirement intake (DRI). A body composition analyser was used to measure body fat (BF), visceral fat (VF) and BMI. Spearman correlation coefficients and simple regression analysis were performed to determine associations between variables.

Foreign students residing for different periods (<6 months: 200 students and >6 months: 200 students) were used as subjects.

The students who stayed <6 months consumed lower level of some nutrients than that of the DRI compared with those stayed >6 months. Overweight and obesity were more common among students who stayed >6 months with high values of BF and VF. Several risk factors were positively or negatively correlated with the students’ nutrition proxies.

Most of the students who stayed >6 months are suffered from overweight. Some independent variables were found to be significantly correlated with the students’ nutrition proxies either positively or negatively.

Prior studies have found evidence of a relationship between food insecurity and functional limitations among older populations in the USA.

This is a longitudinal investigation of food security in relation to functional limitations, assessed as Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) scores.

The Greater Boston, MA area.

1461 Boston Puerto Rican Health study participants, predominantly (70·5 %) female and aged 57·1 years (sd ± 7·6) at baseline followed for 6·2 (sd ± 0·98) years.

In cross-sectional analysis at baseline, participants reporting severe food insecurity had greater functional limitations (higher ADL; β = 2·34; 95 % CI (1·48, 3·19)) and higher IADL (β = 1·17, 95 % CI (0·68, 1·65)) compared with food secure participants. In longitudinal linear mixed models, severely food insecure participants at baseline had greater functional limitations over 5 years, as assessed by ADL (β = 1·74; 95 % CI (0·95, 2·53); P < 0·001) and IADL (β = 0·93, 95 % CI (0·48, 1·38)) compared with food secure participants. However, baseline food security did not significantly alter the 5-year trajectory in ADL (P-interaction between baseline food security and time for ADL and IADL = 0·41 and 0·47, respectively).

In this cohort of Boston area Puerto Rican adults, those who are food insecure had consistently higher ADL and IADL scores over time, compared with those who are food secure. Baseline food security did not appear to alter the trajectory in ADL or IADL score.

To examine the height-for-age z-score (HAZ) of 0–35 months’ children along with stunting prevalence to identify trends, changes and available nutrition-sensitive and specific determinants that could help explain the long-term variation in child linear growth using successive Bangladesh Demographic and Health Surveys (BDHS) data from 1996 to 2018.

The BDHS pooled data are used for determining the key outcome variables HAZ, stunting and severe stunting. Trends, kernel-weighted local polynomial smoothing illustrations, pooled multivariable linear probability model (LPM), ordinary least squares method (OLS) and regression decomposition were used.

Mothers having 0–35 months’ children, the most critical age range for growth faltering.

The mean HAZ increased by 0·91(±1·53) with 0·041 annual average change, while the percentages of stunting (–26·63 ± 0·54) and severe stunting (–21·12 ± 0·48) showed a reduction with 1·21 and 0·96 average annual changes, respectively. The average HAZ improvement (0·42 ± 1·56) in urban areas was less than the rural areas (1·16 ± 1·44). Similar patterns followed for stunting and severe stunting. The prenatal doctor visits (3064·65 %), birth in a medical facility (1054·32 %), breastfeeding initiation (153·18 %) and asset index (144·73 %) demonstrated a huge change. The findings of OLS, LPM and regression decomposition identified asset index, birth order, paternal and maternal education, bottle-fed, prenatal doctor visit, birth in a medical facility, vaccination, maternal BMI and ever-breastfed as influencing factors to predict the long-term changes of stunting and severe stunting.

The nutrition-sensitive and specific factors identified through regression decomposition describing long-term variation in child linear growth should be focused further to attain the sustainable development goals.

This study aims to evaluate the validity and reliability of the Turkish version of the Food–Mood Questionnaire (FMQ) for university students.

The original questionnaire developed by Begdache et al. (2019) was modified and translated into Turkish. The content validation ratio (CVR) and the content validity index (CVI) were used for content validity assessment. The construct validity was assessed by exploratory factor analysis and confirmatory factor analysis (CFA) on data collected on university students who completed the survey online. Pearson’s correlation coefficients and Cronbach’s α were used to assess reliability and validity (P < 0·05).

This study was conducted at five different universities in Turkey.

A total of 251 (67 males and 184 females) undergraduate students participated in the study. Of these, seventy-five students completed a pre- and post-test assessment.

In the current study, 251 university students with a mean age of 21·9 ± 4·1 years participated. The mean CVR and CVI were 0·96 and 0·98, respectively. Factor loadings ranged from 0·341 to 0·863, and item total score correlations ranged from 0·142 to 0·749. Cronbach’s α coefficient was 0·633 for the whole scale. Five factors were extracted that had a good fit in CFA (χ 2/DF = 1·37, root mean error of approximation: 0·039, goodness-of-fit index: 0·911 and comparative fit index: 0·933).

The Turkish FMQ is a valid and a reliable tool for university students. FMQ can be used by clinicians or researchers to examine the mental distress and dietary patterns of university students. Further testing of the FMQ is required for validation in the general population.

We examined whether associations between the food environment, frequency of home cooking, diet quality and BMI were modified by the level of cooking skills.

Cross-sectional study using linear and modified Poisson regression models adjusted for age, sex, energy intake, education, income, household size and urbanisation. The frequency of home cooking was categorised into <6 and 6–7 d. Diet quality was based on a validated Dutch healthy diet index (0–150 points). Count of restaurants and food stores were determined by their count in a 1000m buffer around home and work. Cooking skills (score 1–5) were assessed using a validated questionnaire and added as interaction term.

The Netherlands.

1461 adults aged 18–65 years.

Count of restaurants and food stores were not associated with the frequency of home cooking. A 10-unit higher count of food stores was associated with a higher diet quality (β: 0·58 (95 % CI (0·04, 1·12)), and a 10-unit higher count of restaurants was associated with a lower BMI kg/m2 (β: −0·02 (95 % CI (-0·04, −0·004)). Better cooking skills were associated with a higher likelihood of cooking 6–7 d compared with <6 d (risk ratio: 1·24 (95 % CI (1·16, 1·31)) and a higher diet quality (β: 4·45 (95 % CI (3·27, 5·63)) but not with BMI. We observed no interaction between the food environment and cooking skills (P-for-interaction > 0·1).

Exposure to food stores was associated with a higher diet quality and exposure to restaurants with a lower BMI. Better cooking skills were associated with a higher frequency of home cooking and better diet quality but did not modify associations with the food environment. Future studies should explore different approaches to understand how individuals interact with their food environment.

To assess the prevalence of promotions on foods and non-alcoholic drinks purchased by New Zealand households and to determine if they vary according to healthiness of products.

We undertook a cross-sectional analysis of Nielsen New Zealand Homescan® 2018/19 panel data. We conducted multivariate analyses to examine the variability in quantities of healthy v. unhealthy food and beverage products purchased on promotion. Promotion was self-reported by the panellist. Healthiness of products was measured by the Health Star Rating (HSR) system. We also carried out a subgroup analysis for beverages according to the threshold of < 5 g v. ≥ 5 g sugar per 100 ml content of products.

The Nielsen New Zealand Homescan® data were linked with two New Zealand Food Composition Databases (Nutritrack and the FOODfiles).

Food and beverage purchases data by 1800 panel households were used.

Overall, 46 % (1 803 601/3 940 458) of all purchases made were on promotion. Compared with purchases of food and beverage products with HSR < 3·5 (unhealthy), food and beverage products with HSR ≥ 3·5 (healthy) were significantly less likely to be on promotion (OR = 0·78, 95 % CI 0·77, 0·79). The subgroup analysis for beverages shows that products with < 5 g sugar per 100 ml were significantly less likely to be on promotion than those with ≥ 5 g sugar per 100 ml (OR = 0·77, 95 % CI 0·75, 0·79).

Policies to improve healthy food retailing should focus on increasing the promotion of healthier food and drink options in stores and supermarkets.

Improved food availability and a growing economy in Tanzania may insufficiently decrease pre-existing nutritional deficiencies and simultaneously increase overweight within the same individual, household or population, causing a double burden of malnutrition (DBM). We investigated economic inequalities in DBM at the household level, expressed as a stunted child with a mother with overweight/obesity, and the moderating role of dietary diversity in these inequalities.

We used cross-sectional data from the 2015–2016 Tanzania Demographic and Health Survey.

A nationally representative survey.

Totally, 2867 children (aged 6–23 months) and their mothers (aged 15–49 years). The mother–child pairs were categorised into two groups based on dietary diversity score: achieving and not achieving minimum dietary diversity.

The prevalence of DBM was 5·6 % (sd = 0·6) and significantly varied by region (ranging from 0·6 % to 12·2 %). Significant interaction was observed between dietary diversity and household wealth index (Pfor interaction < 0·001). The prevalence of DBM monotonically increased with greater household wealth among mother–child pairs who did not achieve minimum dietary diversity (Pfor trend < 0·001; however, this association was attenuated in those who achieved minimum dietary diversity (Pfor trend = 0·16), particularly for the richest households (P = 0·44). Analysing household wealth index score as a continuous variable yielded similar results (OR (95 % CI): 2·10 (1·36, 3·25) for non-achievers of minimum dietary diversity, 1·38 (0·76, 2·54) for achievers).

Greater household wealth was associated with higher odds of DBM in Tanzania; however, the negative impact of household economic status on DBM was mitigated by minimum dietary diversity.

To explore the relationships between dental problems and underweight status among rural women in Burkina Faso by using nationally representative data.

This was a cross-sectional secondary study of primary data obtained by the 2013 WHO Stepwise Approach to Surveillance survey conducted in Burkina Faso. Descriptive and analytical analyses were performed using Student’s t test, ANOVA, the χ2 test, Fisher’s exact test and logistic regression.

All thirteen Burkinabè regions were categorised using quartiles of urbanisation rates.

The participants were 1730 rural women aged 25–64 years.

The prevalence of underweight was 16·0 %, and 24·1 % of participants experienced dental problems during the 12-month period. The women with dental problems were more frequently underweight (19·9 % and 14·7 %; P < 0·05) and had a lower mean BMI (21·1 ± 3·2 and 21·6 ± 3·7 kg/m2, P < 0·01) than those without dental problems. More risk factors for underweight were observed in less urbanised regions among elderly individuals (> 49 years old) and smokeless tobacco users. Age > 49 years, professions with inconsistent income, a lack of education, smokeless tobacco use and low BMI were factors that were significantly associated with dental problems, while residency in a low-urbanisation area was a protective factor.

The prevalence of underweight in rural Burkinabè women is among the highest in sub-Saharan Africa, and women with dental problems are more frequently affected than those without dental problems. Public health measures for the prevention of these disorders should specifically target women aged over 49 years and smokeless tobacco users.

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.

Ultra-processed foods (UPF) and minimally processed foods (MPF) consumption are differentially connected to adiposity and possibly body composition. Phase angle (PhA) originates from bioelectrical impedance analysis (BIA) and is connected to cellular health. This study is the first to investigate associations between UPF/MPF consumption and PhA.

A cross-sectional study was conducted. Anthropometrical and BIA were performed. The Hellenic Physical Activity Questionnaire was used for physical activity evaluation, while a validated FFQ was used for dietary assessment. UPF and MPF intake (% energy) were determined according to the NOVA system. Partial correlation coefficients of PhA and dietary variables were assessed after multi-adjustment.

Students were recruited (n 151, 114 women).

University

Median and interquartile range (IQR) of PhA were 5·5° (5·1–6·4°) in the total sample, 6·8° (6·1–7·3°) in men and 5·3° (5·1–5·9°) in women (P < 0·001). The median and IQR for UPF consumption was 13·7 (8·1–33·4) % in the total sample, 23·8 (8·1–70·5) % in men and 12·9 (8·1–27·5) % in women (P < 0·001). The mean (sd) of MPF consumption was 60·2 (sd 15·7) % for the total sample, 59·1 (sd 16·4) % for men and 60·5 (sd 15·6) % for women (P = 0·720). The consumption of UPF was negatively (rho = –0·267, P = 0·002), while the consumption of MPF was positively (rho = 0·218, P = 0·010) associated with the PhA, after adjustment for age, sex, BMI and physical activity.

PhA relates inversely to UPF and positively to MPF consumption. The observed associations possibly reflect the effects of diet on cellular health and in turn PhA.