Dietary Consumption Patterns Research Articles

Dietary Protein Consumption Pattern in Hyperphosphatemia Management Among Haemodialysis Patients: A Cross-Sectional Study at Kenyatta National Hospital, Kenya

Poor nutrition status in haemodialysis patients is associated with high mortality rates. A low phosphorus diet is likely to compromise dietary protein intake and nutrition status in this population. This study evaluated dietary protein consumption pattern and nutrition status among forty out-patient haemodialysis patients from Renal Unit at Kenyatta National Hospital using cross-sectional study. The Chi-square test and Kruskal‒Wallis H test were used to determine relationship between variables. More than half (58%) of the patients were male. Study participants had a mean age of 45.4±14.7 years with the majority (40%) between 40-59 years. More than three quarters (88%) had poor nutrition status with more than a third (38%) severely undernourished. More than half of the patients (53%) had dialysed for a period of more than one year. Most of study participants consumed only five types of legumes. Yellow bean, butterfly Kenyan kidney bean, butterfly haricot bean, red kidney bean and green lentil were commonly consumed legumes; 2-4 times per week by 45%, 23%, 23%, 8% and 15% of the patients respectively. Beef was the most consumed animal protein by more than half (53%) of the patients in 2-4 times a week. Second most consumed animal protein was egg white at least 2-3 times a week. Majority of the patients (58%) had poor knowledge scores (<50 % score) on food phosphorus reduction food preparation procedures in protein rich foods. This study found high prevalence of poor nutrition status and inadequate consumption of dietary protein among haemodialysis patients. This study recommends nutrition education and counseling on locally available dietary proteins and their preparation in order to meet dietary protein requirements without risk of hyperphosphatemia

Evolution of global water footprints of crop production in 1990–2019

Abstract Crop production has the largest water footprint (WF) of all economic sectors and ranks as a leading cause of water scarcity. Despite this, our understanding of historical changes in global WFs of crops remains limited. In this study, we analyse the recently published dataset on green and blue WFs of 175 individual crops in 1990–2019. We explore the main changes in unit WFs (expressed in m3t−1 yr−1) and WFs of production (m3 yr−1) and connect the observed changes to various physical and socio-economic drivers. We find that nearly 80% of crops reduced global average unit WFs (required less water per tonne) as crop yields improved and cultivation centred around more productive areas. However, the total WF of crop production increased by 30% as these productivity gains were insufficient to compensate for cropland expansion of mostly water-intensive crops. Close to 90% of the increase occurred between 2000–2019 likely driven by accelerated economic growth, globalisation, changing diets, and production of first-generation biofuels. Among crops, we observe the largest increases for oil palm fruit, soya beans, and maize as they became the main providers of crop-based nutrients, animal feed, and biofuels for the modern economy. Among regions, most of the increase occurred across the tropics, mainly in Indonesia, Brazil, and Nigeria. However, India, China, and the USA had the largest WFs of production over the study period. Humanity consumed 6.8 trillion m3 of water (87.1% green) to produce crops in 2019. This number is likely to increase in the future which may exacerbate already existing environmental and socio-economic issues. Thus, it is important to transition to more water-sustainable agrifood systems. Much potential still exists in increasing crop water productivity, shifting production to less water-scarce geographies, and rethinking our dietary and industrial consumption patterns.

Plastics in human diets: development and evaluation of the 24-h Dietary Recall - Plastic Exposure and the Dietary Plastics Score.

Humans are commonly exposed to plastic through their dietary intake and food consumption patterns. Plastic-associated chemicals (PAC), such as bisphenols and phthalates, are recognized as endocrine-disrupting and are associated with increased risk of cardiovascular disease and metabolic syndrome. However, accurate methods to assess dietary exposure to plastic products and PAC are inadequate, limiting interrogation of health impacts. To develop a tool that captures complete dietary exposure to plastics and establish a diet quality score to measure adherence to a low plastic dietary pattern. We developed the 24-h Dietary Recall - Plastic Exposure (24DR-PE) and administered it to healthy adults (n = 422). This computer-assisted, interviewer-administered tool systematically collects data on food volumes and types, packaging materials, storage, processing, cooking, and consumption methods to assess a food's exposure to plastic. Specifically, the 24DR-PE incorporates predefined criteria for identifying high-risk practices and food characteristics, such as individually packaged items or those microwaved in plastic, enabling the assignment of scores based on a theoretically derived Dietary Plastics Scoring Matrix. The 24DR-PE is the first tool specifically designed to capture detailed data on dietary exposures to plastic products. The next step is to validate the score using laboratory results of urine samples we collected contemporaneous to the dietary information. Once validated, the tool has potential for widespread distribution making it valuable for population monitoring, intervention guidance, and future research investigating the interplay between plastics, diet, and human health.

The Relationship Between Dietary Fiber Consumption Patterns and Physical Activity with the Incidence of Hemorrhoids

The purpose of this study was to explain the relationship between fiber food consumption patterns and physical activity with hemorrhoidal events. This study used a retrospective correlational analytic study design. The population in this study were patients with signs and symptoms of hemorrhoids in the General Surgery Specialist Poly of Petrokimia Gresik Hospital as many as 89 respondents, with sampling using purposive sampling and 72 respondents were obtained. Data analysis using the Chi-square test. Data collection using a fiber food consumption pattern questionnaire, a physical activity questionnaire, and the results of the diagnosis of the General Surgeon Specialist in the respondent's Medical Record. The results of statistical analysis with the Chi-square test with a significance level of alpha <0.05 obtained a p-value of 0.001 and 0.000, which means that there is a relationship between fiber food consumption patterns and physical activity with hemorrhoidal incidence. Insufficient fiber food consumption patterns cause feces to settle longer in the rectum so that the consistency of feces will become harder. This condition stimulates a straining reflex to appear during defecation, causing hemorrhoids. Meanwhile, a pattern of physical activity that is lacking causes continuous and repeated pressure on the lower part of the digestive tract, causing vascularization to be less than optimal and causing hemorrhoids. This study is expected to be a reference for hospitals to be able to add educational media and health promotion as an effort to prevent hemorrhoidal incidence in the community and prevent recurrence in patients who have undergone hemorrhoid treatment.

A field survey on the dietary use of traditional Chinese medicine in selected regions with the Cantonese, Hakka, and Teochew populations in Guangdong province, China.

The purpose of this study was to assess the dietary consumption patterns of traditional Chinese medicine (TCM) among the population in Guangdong province. Employing a cross-sectional design, the survey was conducted from 2019 to 2021 to examine the inclusion of TCM in the diet of participants in Guangdong province. Information regarding consumption of TCM during the preceding 12 months was collected using a food frequency questionnaire. The participant cohort comprised a total of 3031 participants, consisting of 1081 Cantonese, 967 Hakka, and 983 Teochew individuals. The survey included 42 TCM, with consumption rates ranging from 2.6% to 47.3%. The top five TCM comprised Citri Reticulatae Pericarpium (47.3%), Lonicerae Japonicae Flos (47.0%), Codonopsis Radix (46.4%), Polygonati Odorati Rhizoma (43.1%), and Siraitiae Fructus (41.5%), along with Panacis Quinquefolii Radix (41.5%). These TCM possess recognized therapeutic properties within TCM for clearing heat, drying dampness, and detoxification. Within the top decile of 10 TCM, only Lonicerae Japonicae Flos was ubiquitous across all three sub-populations. Nonetheless, 11 TCM from the top 20 and 17 TCM from the top 30 overlapped among the three sub-populations. The study revealed substantial variability in the consumption rates of different TCM. Notably, those with traditional Chinese medicine effects of clearing heat, drying dampness, and detoxification exhibited higher consumption rates. Disparities in the consumption rates of these TCM were noted among the Cantonese, Hakka, and Teochew populations.

Dietary consumption patterns in breast cancer survivors: Pilot evaluation of diet, supplements and clinical factors

PurposeAdherence to dietary intake guidelines is recommended for optimal nutrition and outcomes in breast cancer survivors. The purpose of this study was to examine dietary quality in a cohort of breast cancer survivors related to current guidelines, guiding further education-based research. MethodsThis exploratory evaluation examined compliance with current dietary guidelines. Data collected included demographics, medical histories and repeated, three-day 24-h dietary recalls. Women with early-stage breast cancer (n = 97) who completed breast cancer treatment between 6 and 24 months were recruited. Descriptive statistics and frequencies were calculated for demographic and lifestyle characteristics, reported fish consumption, body mass index categories, supplement consumption, and adequacy of macronutrient and micronutrient consumption (classified as below, meeting, or exceeding needs). ResultsIn this cohort, 28.9% were classified as overweight and 35% were obese. The mean dietary macronutrient consumption was 44.3% (±8.9%) carbohydrates, 36.6% (±7.3%) fat, and 17.3% (±4.7%) protein. Additionally, 32.3% participants consumed >45 g sugar/d. The mean n-6 to n-3 ratio was 8.0 (±3.3):1. Further, 38% of survivors reported consuming less than 1 serving of fish per week. Participants consumed between 0 and 1.03 servings of fish per day, with an average consumption of 0.16 (±0.26) servings per day and 61.5% (n = 59) consuming 0 servings per day. The mean daily combined dietary and supplement consumption of multiple micronutrients was below the Recommended Daily Allowance for Vitamin D (30%), Calcium (52.6%), Magnesium (42.1%), and Vitamin E (80%). ConclusionBreast cancer survivors 0.5–2 years post-treatment are not meeting recommended nutrition consumption guidelines for a number of nutrients. Findings suggested that nutrition therapy targeting weight loss through reduced sugar, total and saturated fat, while increasing foods rich in omega-3, and ensuring adequate micronutrient consumption would promote better nutritional consumption patterns and improve overall health during survivorship.

Nutritional Practices, Quality of Life and, Health Status of Elderly in Rural Communities in Owo Local Government Area, Ondo State, Nigeria

The study investigates the nutrition practices, health status, and quality of life of elderly individuals in Owo, Ondo State, Nigeria. It involves a descriptive cross-sectional design with 346 elderly participants aged 60-90, systematically sampled from six rural communities. Data were collected via structured, interviewer-administered questionnaires on demographics, medical and lifestyle histories, daily activities, health-seeking behaviors, food consumption, and nutritional care practices. Nutritional status and high blood pressure were assessed using anthropometric indices and a digital sphygmomanometer. Key findings indicate that 37.6% of participants were aged 60-64. Significant differences were noted between sexes in socio-demographic variables. Alcohol consumption, tobacco sniffing, and cigarette smoking were reported by 15.3%, 11.0%, and 4.6% respectively. Additionally, 23.1% were on hypertensive drugs and 20.1% were confirmed diabetics. Meal frequency varied, with 16.5% eating less than three times daily and 59.2% eating three times daily. Lunch (58.0%) and breakfast (36.6%) were the most skipped meals, and 15% ate outside the home. Dietary diversity scores revealed 66.5% with medium and 27.5% with good diversity. Significant gender differences were observed in dietary diversity and consumption patterns of cereals, roots, tubers, and fruits. Nutritional care practices and daily living activities scores showed 90.2% and 80.6% with fair practices and good activity scores, respectively, while 46.2% demonstrated good health-seeking behavior. Common health complaints included body and joint pain. Central obesity rates were 33.8% (WC), 30.3% (WHtR), and 30.6% (WHR). Elevated systolic and diastolic blood pressure were found in 36.7% and 23% of participants, respectively. Only 31.2% reported a good quality of life. Significant positive correlations were found between nutritional status, quality of life, nutritional care practices, and functionality. Malnutrition, poor quality of life, and inadequate care practices among the elderly in rural areas highlight a public health challenge requiring targeted interventions.

Did COVID-19 influence fruit and vegetable consumption? Explaining and comparing pandemic peak and post-peak periods

The COVID-19 pandemic, one of the worst global health crises in the last century, impacted nearly every aspect of people's lives, including their dietary choices and food consumption patterns. It arrived during a long shift in American diets featuring increasingly large portions of processed foods as well as fruit and vegetable consumption that is well below recommended levels. Improving the latter has been a key part of policymakers' efforts to improve consumers' diets. This study surveyed individuals in the US South to determine the factors influencing their consumption of fruit and vegetables during the pandemic peak and how these have changed post-peak. During the peak, food venue, demographics, and concerns about diet and the seriousness of the virus heavily affected consumption. Greater amounts of fresh fruit and vegetables were consumed post-peak pandemic. Changes post-peak were predicted by food venue. Cooking meals at home was the main positive predictor for consumption. US policymakers should try and leverage the changes since the peak to promote greater consumption of fruit and vegetables.

Tomato (Solanum lycopersicum L.) YTH Domain-Containing RNA-Binding Protein (YTP) Family Members Participate in Low-Temperature Treatment and Waterlogging Stress Responses

YT521-B homology (YTH) domain-containing RNA-binding proteins (YTPs) are important N6-methyladenosine (m6A) readers that have crucial roles in determining the destiny of m6A-modified RNAs, which are the most widespread RNA modifications in eukaryotes. Tomatoes (Solanum lycopersicum L.) hold significant importance in both dietary consumption patterns and scientific inquiries. While the YTP gene family has been characterized in tomatoes, their specific reactions to the low temperature and waterlogging stresses remain to be elucidated. In our study, nine tomato SlYTPs could be divided into five subclasses, YTHDFa-c and YTHDCa-b. After gene cloning and measuring their expression levels under stress conditions, it was revealed that SlYTP8 exhibited increased sensitivity to low-temperature treatment, while the expression levels of SlYTP9 were notably upregulated in leaf tissues subjected to waterlogging conditions. As members of the YTHDFc subfamily, SlYTP8 and SlYTP9 are both localized in the cytoplasm. Nevertheless, overexpression (OE) of SlYTP8 increased the sensitivity of tomato plants to low-temperature treatment, which was manifested by a higher accumulation of malondialdehyde (MDA) and hydrogen peroxide (H2O2) and a weaker reactive oxygen species scavenging ability compared to wild-type (WT) tomatoes. However, in comparison to WT plants, the leaves of SlYTP9 OE tomatoes showed higher chlorophyll content and a stronger reactive oxygen species scavenging ability after 3 days of waterlogging treatment, thereby increasing the resistance of tomatoes to waterlogging stress. Moreover, in order to investigate the possible molecular mechanisms underlying their responses to the low temperature and waterlogging stresses, the transcription factors and interacting protein networks associated with SlYTP8/9 promoters and proteins were also predicted, respectively. These results could fill the gap in the understanding of tomato YTPs in response to the low temperature and waterlogging stresses, while also providing a theoretical and experimental basis for subsequent studies on their molecular mechanisms.

Household Food Consumption Typologies: Examining Population Adherence to Healthy Eating Guidelines for Evidence-Informed Policy Making

Food and nutrition are important issues of interest to policy makers, practitioners, and academics around the world due to the far-reaching consequences for society, households and individuals, and guidelines related to food consumption have been included in several policies both nationally and internationally. This study identifies household ‘typologies’ with regard to household food consumption of ‘marker’ food groups, and examines related associations with household demographics, analysing quantitative data on households (n = 4144) from the most recently available Northern Ireland Health Survey (2014/2015). Latent Class Analysis identified five household typologies; ‘Hedonistic Households (19%), Healthier Households (13%), General Households (42%), Unhealthier Households (3%), Balanced Households (23%)’, which individually vary in their adherence to recommended guidelines, and in their demographic composition. The study provides insight into how households’ dietary consumption patterns accord with government recommendations, and findings have implications for policy, for example through informing decision-making related to promoting behavioural change, and informing future collection of data related to ‘marker’ food groups.

Dietary fat consumption frequency and body mass index of middle-age adults in Mumbai city, India during COVID-19 pandemic

Obesity and COVID-19 are global pandemics listed by World Health Organization, which need urgent attention. Obesity involves low grade chronic inflammation, which is characterised by sustained pro-inflammatory innate immune responses mediated through activation of the NLR family pyrin domain-containing 3 (NLRP3) inflammasome/IL-1 axis, and is a strong risk factor for Diabetes and Heart diseases(1). Dietary fats provide energy, satiety, source of fat-soluble vitamins and essential fatty acids – Omega 3 (n-3) and Omega 6 (n-6) fatty acids, but must be consumed in right amounts and ratios. Essential fatty acids (EFA) deficiency and n-6/n-3 imbalance is linked with chronic illnesses such as, heart attacks, cancer, insulin resistance, stroke, obesity, and diabetes(2). Excess dietary fat intake and imbalance of fatty acids, contribute to obesity, inflammation, comorbidities and faster disease progression. A cross-sectional survey aimed to understand the fatty food frequency of overweight and obese middle age adults from Mumbai, India during the COVID-19 outbreak. Using purposive sampling, 100 adults (30-60 years), a questionnaire (demographics, anthropometrics and fat food frequency questionnaire) was administered. Data was analysed using SPSS 26.0. As per BMI standards, 60.2% participants were overweight, 12.6% were obese and 27.1% had normal BMI. For visible fat consumption, sunflower oil (47.6%), ghee (38.8%), rice bran oil (34%) groundnut oil (11.7%) and invisible fats – milk (100%). Other dairy products, nuts and oilseeds were consumed weekly. twice a week, majority (92.3%) consumed packaged high fat foods as compared to eating deep-fried items (58.9%). We concluded that excess dietary fat intake is high risk factor for obesity and related comorbidities diabetes, and hypertension. High BMI increases the risk for non-communicable diseases (NCDs) such as obesity, cardiovascular disease (CVD), insulin resistance and type 2 diabetes. People with co-morbidities are high risk groups for COVID-19 infection susceptibility. Hence, managing weight could be a cost-effective preventive strategy to help in delaying the onset and progression of NCDs, thereby lowering the susceptibility to COVID-19. Our findings have important implications in working towards adopting healthy fats and reducing mortality and reducing the global burden of pandemic. High dietary fat intake is a modifiable risk factor for overweight and obesity. Comorbidities increased risk for COVID-19 infection, disease severity and mortality. Hence, there is a need to understand the dietary fat consumption patterns in obesity and COVID-19. Dietary carbohydrate, sugar and fat quality in relation to obesity and pandemic such as, COVID-19 could be explored in future studies.

Assessment of dietary consumption pattern of selected vegetable growers of district Kangra of Himachal Pradesh

Assessment of dietary consumption pattern of selected vegetable growers of district Kangra of Himachal Pradesh

The correlation between the frequent intake of dietary migraine triggers and increased clinical features of migraine (analytical cross-sectional study from Egypt)

Despite the high prevalence of primary headaches, the role of food in modifying clinical characteristics among migraine patients is often overlooked. The aim is to detect the correlation between adopting unhealthy dietary habits and migraine severity and identify foods that have a greater chance of triggering specific subtypes of migraine. The present study was a cross-sectional analytical study that was conducted at Kasralainy Hospital, Cairo University, headache clinic at Alexandria University Hospital, and Al-Azhar University Hospitals from January to June 2020. We included 124 patients fulfilling the ICHD-3 criteria for migraine. A full clinical profile for migraine headaches was reported using a headache sheet applied to the Al-Azhar University headache unit. A nutritionist obtained data collected about dietary habits using many reliable scales and questionnaires such as food frequently sheets questionnaire. Logistic regression and Pearson correlation coefficients have been used to identify foods that are more likely to be associated with increased clinical features of migraine. Our participants reported that the fried meat, fried chicken, processed meats, fava beans, falafel, aged cheese “Pottery salted cheese” and “Rummy cheese”, salted-full fatty cheese “Damietta cheese”, citrus fruits, tea, coffee, soft drinks, nuts, pickles, chocolate, canned foods, sauces, ice cream, smoked herring, in addition to the stored food in the refrigerator for many days were significantly associated with the diagnosis of chronic migraine CM compared to episodic migraine (EM). Margarine, pickles, and smoked herring were significantly associated with the diagnosis of migraine with aura (MA) compared to migraine without aura (MO). Adopting unhealthy eating habits was a more prevalent dietary consumption pattern among people with chronic migraines compared to those with episodic migraine.

Analisis Faktor Predisposing, Enabling, dan Reinforcing terhadap Kecukupan dan Jumlah Asupan Zat Gizi Mahasiswa Asing di Surabaya, Indonesia

Dietary habits or consumption patterns refers to the arrangement and quantity of food consumed by individuals or groups within a specific period. Dietary habits can influence daily patterns, affecting an individual’s nutritional intake and adequacy. For foreign college students, the process of adapting to environmental changes can alter their eating habits. The purpose of the study was to analyze the relationship between predisposing, enabling, and reinforcing factors of dietary habits with the nutritional intake and adequacy of foreign college students in Surabaya. This study adopts a cross-sectional design with a sample size 30 foreign students selected through snowball sampling. Data was collected using in-depth interviews and questionnaires with Semi-Quantitative Food Frequency Questionnaire and Dietary History as instruments. Statistical analysis includes Pearson correlation test and chi-square test. According to the results, there was a weak correlation between gender and energy adequacy. Weak correlation was also found between age, food expenditure, income, and cooking habits with nutritional intake. A weak correlation was identified between residential area and energy adequacy. There was also a moderate correlation between food access and levels of energy adequacy, while a strong correlation between social environment and energy adequacy. The conclusion of this study is predisposing, enabling, and reinforcing factors related to dietary habits of foreign college studentsinclude age, gender, food access, income, food expenditure, residential area, social environment, and cooking habits.

Comparative analysis of dietary diversity and food consumption patterns among public and private University Students in Bangladesh

Introduction: University students represent a crucial period for establishing long-term dietary patterns and are particularly susceptible to nutritional challenges due to lifestyle changes. This study focuses on the dietary habits of university students in Bangladesh, a demographic undergoing significant changes in eating patterns amid urbanization and exposure to Westernized food cultures. Aim: This study aims to investigate the socio-demographic characteristics and dietary patterns of university students in Bangladesh, distinguishing between public and private university attendees. Methods: A descriptive, cross-sectional study conducted over four months at two public and two private universities in Bangladesh. The sample consisted of 296 students, selected through systematic random sampling. Data collection involved face-to-face interviews using a semi-structured questionnaire. Dietary diversity was assessed based on the last 24 hours’ intake, and household food consumption scores were calculated over the past 7 days. Statistical analysis was performed using SPSS (Version 17) and Stata (Version 13). Results: The study consists of approximately equal representation of students from public (48.63%) and private (51.37%) universities, with a slight male majority (53.87%). Significant economic disparities were found between students from public and private universities, impacting their monthly expenditures and dietary habits. Students from private universities displayed a more diverse diet, especially in higher consumption of vegetables, fruits, and protein sources. A notable correlation was found between economic status and dietary diversity, with private university students having higher food consumption scores. Conclusion: The study highlights substantial socio-economic disparities between students from public and private universities in Bangladesh, significantly influencing their dietary habits. Findings emphasize the need for targeted nutritional interventions and educational programs to mitigate the gaps in dietary diversity and health among university students. The study provides valuable insights for public health policymakers and educators in understanding and addressing the nutritional needs and challenges of university students in Bangladesh.

Characteristics and related factors of waterborne and foodborne infectious disease outbreaks before and after the onset of the COVID-19 pandemic (2017-2021) in the Republic of Korea: a descriptive study.

The incidence of waterborne and foodborne infectious diseases (WFIDs) continues to increase annually, attracting significant global attention. This study examined trends in WFID outbreaks in the Republic of Korea over the 5-year period before and during the coronavirus disease 2019 (COVID-19) pandemic and provided foundational data to establish measures for the prevention and control of WFID outbreaks. We analyzed 2,541 WFID outbreaks from 2017 to 2021 (42,805 cases) that were reported through the Integrated Disease Surveillance System of the Korea Disease Control and Prevention Agency. Outbreaks were defined as the occurrence of gastrointestinal symptoms in ≥2 individuals within a group with temporal and regional epidemiological associations. The related factors associated with WFID outbreaks during the observation period were statistically analyzed. The total number of WFID outbreaks significantly decreased in 2020 during the COVID-19 pandemic and increased to the pre-pandemic level in 2021. Different patterns were observed for each pathogen. The incidence of Salmonella outbreaks more than doubled, while norovirus outbreaks decreased significantly. WFID outbreaks in the Republic of Korea showed different patterns before and during the COVID-19 pandemic, influenced by infection control measures and changes in dietary consumption patterns. Outbreaks of some diseases increased, but the infection control measures applied during the pandemic resulted in a significant decrease in the overall number of WFID outbreaks. This highlights the importance of strengthening the management strategies for outbreak prevention through hygiene inspections, long-term monitoring, education, and promotion by conducting multidimensional analyses to understand the complex related factors.

Identifying dietary consumption patterns from survey data: a Bayesian nonparametric latent class model.

Dietary assessments provide the snapshots of population-based dietary habits. Questions remain about how generalisable those snapshots are in national survey data, where certain subgroups are sampled disproportionately. We propose a Bayesian overfitted latent class model to derive dietary patterns, accounting for survey design and sampling variability. Compared to standard approaches, our model showed improved identifiability of the true population pattern and prevalence in simulation. We focus application of this model to identify the intake patterns of adults living at or below the 130% poverty income level. Five dietary patterns were identified and characterised by reproducible code/data made available to encourage further research.

Impact of COVID-19: Dietary Consumption Patterns and Family Nutritional Intake

The COVID-19 pandemic has caused various very drastic changes related to the nutritional and economic needs of families in Indonesia. The existence of differences in instant food consumption dominates to cause nutritional intake of nutrients that do not meet the body’s needs. This research aims to identify patterns of food consumption and family nutritional intake. This research method uses a quantitative type and the design is survey analytics. The population was 500 people, because of the pandemic red zone area, a limited study sample of 30 respondents was taken with purposive sampling on the head of the family in Ronowijayan Siman Ponorogo. Food consumption patterns and nutritional intake were determined based on interviews with respondents using a 24-hour Recall questionnaire. The research data were analysed using Kendall-Tau with a value of alpha more than a sig value of 0.05 more than 0.010 so that it was stated to have a significant relationship with the value of the coefficient of very weak correlation of consumption patterns with family nutritional intake. Good consumption patterns and nutritional intake can strengthen immunity, indirectly reducing COVID-19 infection transmission for families.

Dietary patterns in relation with nutritional outcomes and associated factors among adolescents: implications for context-specific dietary intervention for the Agrarian Community, Northwest Ethiopia.

Dietary pattern analysis allows us to characterize the dietary intakes of individuals rather than nutrient intake data and strongly predicts disease risks. The relationship between food intake and adolescents' nutritional health is not well understood yet. Therefore, this study aimed to generate evidence for context-specific dietary intervention for adolescents. This study aimed to determine dietary patterns and their relationship with nutritional outcomes and identify the contributing factors among adolescents in the Agrarian Community of Northwest Ethiopia. A cross-sectional survey was conducted among 622 randomly selected adolescents. Dietary data were collected over a 1-week recall period using the Food Frequency Questionnaire (FFQ). After testing the basic assumptions, an exploratory factor analysis was conducted to determine the dietary patterns. Anthropometric data on weight and height were collected to determine the nutritional status using WHO Anthroplus 2010 software. A chi-square test was conducted to evaluate the effect of different dietary patterns on nutritional outcomes. A multivariable binary logistic regression model was used to identify factors affecting the dietary patterns of adolescents. Three types of dietary patterns, namely, traditional, mixed, and animal-source foods with traditional alcoholic beverage consumption were identified. These dietary patterns explain 58.64% of the variance in adolescent diet in the study setting. The burden of stunting was 15.12% vs. 11.21, 19.40% vs. 6.94, and 8.36% vs.17.97% among adolescents with lower traditional, mixed, and higher animal sources with alcoholic dietary pattern consumption habits, respectively (value of p <0.05). Adolescents who resided in low-land agroecology (AOR = 2.44; 95% CL: 1.24, 4.81) and had access to animal-source foods (AOR = 1.64; 95% CI: 1.04, 2.60) were associated with lower consumption of traditional dietary patterns. Similarly, adolescents who resided in low-land (AOR = 1.80; 95% CI: 1.18, 2.74) had formal education (AOR = 2.38; 95% CI: 1.35, 4.19) and had poor nutrition knowledge (AOR = 2.83; 95% CL: 1.55, 5.19) were associated with lower consumption of mixed dietary patterns. Moreover, adolescents residing in the high-land (AOR = 2.50; 95% CI: 1.37, 4.56) and being female (AOR =1.87; 95% CI: 1.27, 2.74) were significant factors associated with lower consumption of animal-sourced foods with traditional alcoholic beverage consumption patterns. Multidimensional modifiable factors were explored that could be targeted for public health interventions for the identified dietary patterns. Integrated and multifaceted dietary intervention approaches are needed to promote healthy diets and discourage the consumption of unhealthy diets to reduce undernutrition in the study area and similar settings.

Body fat, overweight and obesity in adult menopausal women

Background This study aimed to assess the factors correlated with the percentage of body fat, overweight, and obesity in menopausal adult women. Methods In this retrospective cohort study, data were extracted from the medical records of women aged 40 to 60 years, encompassing both premenopausal and menopausal phases. The variables under consideration comprised anthropometric indicators like weight, height, age, percentage of body fat, as well as sociodemographic elements including place of origin, marital status, physical activity, frequency of visits to nutritional consultations, and dietary consumption patterns. Additionally, the body mass index (BMI) was computed to determine overweight and obesity. Results The application of multiple regression analysis unveiled that a range of 8 to 16 nutritional consultations (Relative Risk (RR): 1.78 [95% Confidence Interval (CI): 1.42-2.25]; p &lt; 0.001), along with abstaining from coffee consumption (RR = 8.13 [95% CI: 1.22-54.31]; p &lt; 0.031), exhibited associations with lower body fat among menopausal women. Conclusions The absence of coffee consumption and engagement in nutritional consultations were linked to diminished levels of body fat in menopausal women. Consequently, it is imperative to comprehensively evaluate middle-aged women to timely address overweight or obesity with suitable nutritional guidance and recommendations.