This study aimed to assess nutritional status and associated factors among adult tuberculosis patients in public health centres in Horro Guduru Wollega Zone, Western Ethiopia, 2021. An institutional-based cross-sectional study was conducted among 334 randomly selected adult TB patients at public health centres from May 7, 2021, to June 21, 2021. Data were collected using structured questionnaires and anthropometric measurements. The nutritional status was measured by using body mass index (BMI). Data was entered into EpiData version 4.6 and exported to SPSS version 25 for analysis. A bivariate and multivariable multinomial logistic regression analysis was done to identify factors associated with nutritional status. The prevalence of under and overnutrition was found to be 48.2% and 8.7%, respectively. Female TB patients (AOR = 3.48, 95% CI: (1.918–6.314)), patients who didn’t receive dietary counselling (AOR = 2.51, 95% CI: (1.335–4.720)), TB patients on the initiation phase of treatment (AOR = 3.76, 95% CI: (2.072–6.852)), and meal frequency less than three times per day (AOR = 3.6, 95% CI: (1.942–6.676)) were significantly associated with under nutrition. The prevalence of undernutrition was high in the study area. Being a female, being in the initiation phase of treatment, lack of dietary counselling, and having meal less than three per day were independently associated with undernutrition. Hence, regular nutritional assessments, dietary counselling, and nutritional support should be encouraged at the facility and community level.

In nutritional epidemiological studies, it is imperative to collect high-quality data to ensure accurate dietary assessment. However, dietary data collection using traditional paper forms has several limitations that may compromise data quality. The aim of this study was to propose novel methods to design and develop software applications (Apps) for dietary data collection to assess the nutritional status of pregnant women and infants. This study is part of the M-SAKHI (Mobile-Solutions for Aiding Knowledge for Health Improvement) cluster randomised controlled trial (cRCT) implemented in central India. Three tablet-based software Apps were developed in this study: the ACEC (Automated Coding and Energy Calculation) App to establish a generic cooked food recipe database, the FFQ (Food Frequency Questionnaire), and the IDR (24 h Infant Dietary Recall) Apps to collect dietary data from pregnant women and their infants from rural area of Bhandara and Nagpur districts. Regional food lists, recipes, and portion resource kits were developed to support the data collection using the Apps. In conclusion, the Apps were user-friendly, required minimal prior training, had built-in validation checks for erroneous data entry and provided automated calculations. The Apps were successfully deployed in low-resource rural settings to accurately collect high-quality regional cooked food data and individual-level dietary data of pregnant women and their infants.

This manuscript details the strategy employed for categorising food items based on their processing levels into the four NOVA groups. Semi-quantitative food frequency questionnaires (FFQs) from the Nurses’ Health Studies (NHS) I and II, the Health Professionals Follow-up Study (HPFS) and the Growing Up Today Studies (GUTS) I and II cohorts were used. The four-stage approach included: (i) the creation of a complete food list from the FFQs; (ii) assignment of food items to a NOVA group by three researchers; (iii) checking for consensus in categorisation and shortlisting discordant food items; (iv) discussions with experts and use of additional resources (research dieticians, cohort-specific documents, online grocery store scans) to guide the final categorisation of the short-listed items. At stage 1, 205 and 315 food items were compiled from the NHS and HPFS, and the GUTS FFQs, respectively. Over 70 % of food items from all cohorts were assigned to a NOVA group after stage 2. The remainder were shortlisted for further discussion (stage 3). After two rounds of reviews at stage 4, 95⋅6 % of food items (NHS + HPFS) and 90⋅7 % items (GUTS) were categorised. The remaining products were assigned to a non-ultra-processed food group (primary categorisation) and flagged for sensitivity analyses at which point they would be categorised as ultra-processed. Of all items in the food lists, 36⋅1 % in the NHS and HPFS cohorts and 43⋅5 % in the GUTS cohorts were identified as ultra-processed. Future work is needed to validate this approach. Documentation and discussions of alternative approaches for categorisation are encouraged.

Types of sugar-sweetened beverages (SSB) can differ greatly between countries, with greater consumption of sweetened tea in Asia. This study aimed to understand changes in SSB consumption by adolescents in Taiwan over 18 years and their association with demographic characteristics and clinical outcome. This study used survey data from the 1993–1996 and 2010–2011 Nutrition and Health Surveys in Taiwan. Participants were high school students aged 13 to 18 years. Data were weighted and analysed using SUDAAN 11.0 and SAS 9.4. Participants were asked about intake frequencies of SSB and were grouped into four different SSB intake groups based on the combination of high or low frequency (including moderate frequency) of intake of sweetened tea and soda/sports/energy drinks. Results indicated over 99 % of teens reported having at least one SSB in the past week. Smoking status was significantly associated with SSB intake types with high tea intake (high tea and low soda (HL) group, OR 7·56, P < 0·001; high tea and high soda (HH) group, OR 9·96, P < 0·001). After adjustment for potential confounders, adolescents in the low tea and high soda (LH) group (β = 0·05, P = 0·034) had significantly higher mean serum uric acid values. In conclusion, sugary tea remains the SSB of choice for Taiwanese adolescents. Those with a frequent intake of soda/sports/energy drinks had a higher chance of being hyperuricaemic.

Nutrition plays a crucial role in the pathophysiology and management of peripheral arterial disease (PAD) and periodontal disease (PD). As PD can have profound effects on an individual’s functional ability to eat and can affect nutrient intake, we aimed to evaluate the role of PD severity on dietary intake (DI) and quality in PAD patients and compare it with current dietary recommendations for CVD. PD stages of 421 consecutive PAD patients were determined according to a standardised basic periodontal examination (Periodontal Screening and Recording Index) (‘healthy’, ‘gingivitis’, ‘moderate periodontitis’ and ‘severe periodontitis’). Dietary intake (24-h recall), dietary quality (food frequency index (FFI)) and anthropometrical data were assessed. Nutritional intake was stratified according to the severity of PD. No significant differences in DI of macronutrients, nutrients relevant for CVD and FFI were seen between the PD stages. Only median alcohol intake was significantly different between gingivitis and severe periodontitis (P = 0·001), and positively correlated with PD severity (P = 0·001; r 0·159). PD severity and the patient’s number of teeth showed no correlation with investigated nutritional parameters and FFI. Few subjects met the recommended daily intakes for fibre (5 %), SFA (10 %), Na (40 %) and sugar (26 %). Macronutrient intake differed from reference values. In our sample of patients with PAD and concomitant PD, we found no differences in DI of macronutrients, nutrients relevant for CVD and diet quality depending on PD severity. The patients’ nutrition was, however, poor, deviating seriously from dietary guidelines and recommendations.

Globally, the prevalence of childhood obesity has substantially increased at an alarming rate. This study investigated associations between dietary patterns and overweight/obesity in 3- to 6-year-old children. Recruited children were from four prefecture-level cities in Eastern China. Childhood overweight and obesity were defined according to WHO Child Growth Standards. Individual dietary patterns were assessed by a comprehensive self-administered FFQ using thirty-five food items. Using factor analysis two dietary patterns were derived: the traditional Chinese pattern was characterised by high consumption of cereals, vegetables and fresh juices while the modern pattern was characterised by high consumption of Western fast food, Chinese fast food, sweets/sugary foods and carbonated beverages. The associations of dietary patterns with overweight/obesity were evaluated by logistic regression models. Data of 8900 preschool children from thirty-five kindergartens recruited from March to June 2015 were used in the final analysis. Adherence to the modern dietary pattern was positively associated with children's age while adherence to the traditional dietary pattern was positively associated with maternal education; these associations were statistically significant. After adjustment, we found that being in the highest tertile of any identified dietary patterns was not significantly associated with overweight and obesity. Dietary patterns are not associated with overweight/obesity in Chinese preschool children. Prospective studies are needed to establish a causal link between dietary patterns and childhood obesity.