OBJECTIVE: The relationship between benign prostatic hyperplasia (BPH) and the oxidative balance score (OBS) will be discussed in this study. METHODS: The clinical data on 16 dimensions of diet and 4 dimensions of lifestyle from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2008 were used to calculate OBS. We considered BPH as the outcome and investigated the linear and nonlinear relationships between the two. Additionally, subgroup analyses and interaction tests were conducted as well. Furthermore, the methods of machine learning including XGBoost, support vector machine (SVM) and naive Bayes (NB) were used to establish a predictive model for BPH. RESULTS: Higher OBS was consistently associated with an increased prevalence of BPH, with Restricted Cubic Splines highlighting a significant positive nonlinear association (P=0.015). Subgroup analyses revealed differences and interactive relationships based on alcohol consumption. Among the seven machine learning models that we included the OBS score in, the XGBoost model emerged as the best, with an AUC value of 0.769. CONCLUSION There is a significant association between OBS and the prevalence of BPH in the American population, which provides a valuable insight for further diagnosis and research of the disease.
Humans ; Male ; Prostatic Hyperplasia/epidemiology* ; Machine Learning ; Bayes Theorem ; Nutrition Surveys ; Support Vector Machine ; Life Style ; Oxidative Stress ; Aged ; Diet ; Prevalence

Humans ; Vitamins/therapeutic use* ; Iron, Dietary ; Diabetes Mellitus, Type 2 ; Nutrition Surveys ; Diet ; Vitamin A ; Vitamin K

OBJECTIVE: This study aimed to develop an artificial neural network (ANN) model combined with dietary retinol intake from different sources to predict the risk of non-alcoholic fatty liver disease (NAFLD) in American adults. METHODS: Data from the 2007 to 2014 National Health and Nutrition Examination Survey (NHANES) 2007-2014 were analyzed. Eligible subjects ( n = 6,613) were randomly divided into a training set ( n ₁ = 4,609) and a validation set ( n ₂ = 2,004) at a ratio of 7:3. The training set was used to identify predictors of NAFLD risk using logistic regression analysis. An ANN was established to predict the NAFLD risk using a training set. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the accuracy of the model using the training and validation sets. RESULTS: Our study found that the odds ratios ( ORs) and 95% confidence intervals ( CIs) of NAFLD for the highest quartile of plant-derived dietary retinol intake (i.e., provitamin A carotenoids, such as β-carotene) ( OR = 0.75, 95% CI: 0.57 to 0.99) were inversely associated with NAFLD risk, compared to the lowest quartile of intake, after adjusting for potential confounders. The areas under the ROC curves were 0.874 and 0.883 for the training and validation sets, respectively. NAFLD occurs when its incidence probability is greater than 0.388. CONCLUSION The ANN model combined with plant-derived dietary retinol intake showed a significant effect on NAFLD. This could be applied to predict NAFLD risk in the American adult population when government departments formulate future health plans.
Adult ; Humans ; Vitamin A ; Non-alcoholic Fatty Liver Disease/epidemiology* ; Nutrition Surveys ; Diet ; Neural Networks, Computer

Objective To investigate the food preferences and explore the potential association between dietary knowledge and food preferences in residents aged 18 and over in China,so as to provide a basis for promoting healthy diets.Methods The latent class analysis was carried out with the 2015 cross-sectional data of China health and nutrition survey to categorize the food preferences among 8 783 residents aged 18 and over.Multinomial Logistic regression was adopted to assess the association between and dietary knowledge and food preferences.Results The food preferences of the residents aged 18 and over in China were classified into preference for less vegetable(3.28%),lack of preference(11.20%),diverse preferences(4.19%),and preference for healthy diets(81.33%).The proportion of the adults with dietary knowledge was 36.87%(3 238/8 783).The dietary knowledge varied in the adults with different food preferences(all P<0.001).After adjusting for gender,age,urban and rural distribution,education background,and annual household income,for each point increase in the dietary knowledge score,there was an estimated reduction of 22% in the probability of preferring less vegetables(OR=0.78,95%CI=0.76-0.80, P<0.001),13% in the probability of lacking preference(OR=0.87,95%CI=0.86-0.89, P<0.001),and 3% in the probability of having diverse preferences(OR=0.97,95%CI=0.94-1.00, P=0.030).Compared with those lacking dietary knowledge,the individuals with dietary knowledge had a 77% less probability of preferring less vegetables(OR=0.23,95%CI=0.16-0.32, P<0.001),a 55% less probability of lacking preference(OR=0.45,95%CI=0.39-0.53, P<0.001),and a 23% less probability of having diverse preferences(OR=0.77,95%CI=0.61-0.96, P=0.023).Conclusions The residents aged 18 and over in China presented four food preferences,including preference for less vegetables,lack of preference,diverse preferences,and preference for healthy diets,the last of which had the highest proportion.The individuals with lower levels of dietary knowledge have higher probability of preferring unhealthy food.
Adult ; Humans ; Adolescent ; Food Preferences ; Latent Class Analysis ; Cross-Sectional Studies ; Diet ; Nutrition Surveys ; China

Nowadays in China, digital technology is sweeping all walks of life. To deal with the increasing incidence of chronic diseases and people's pursuit of a healthy life expectancy, modern nutrition, which is a core element in the prevention and treatment of chronic diseases, has gradually entered the digital age and raised broader needs and higher standards for achieving individualized precision nutrition. Artificial intelligence and augmented reality technologies have been used to improve the accuracy of dietary surveys. The digital dietary quality monitoring and evaluation system established by integrating multiple nutritional and health databases are conducive to scientifically and effectively assessing the overall dietary quality. Wearable devices and chemical sensors have made nutrition assessment more efficient. Digital and precise nutrition developed for different populations and different diseases are realized. Nutrition education has been carried out rapidly with the popularization of "Internet+", new media, and application software. The various digital intelligent technologies have gradually penetrated into the dietetics field and empowered personalized health management. In addition, the technologies of digital nutrition in China still face a lot of challenges from theory to practice. How to promote scientific and technological innovation in digital nutrition to stimulate and enhance people's nutritional health is the major task ahead of nutrition science nowadays. This article will briefly introduce digital nutrition survey and assessment, digital nutrition intervention, and intelligent nutrition education, in order to provide a reference for realizing national nutrition and health by digital means.
Humans ; Artificial Intelligence ; Digital Technology ; Nutritional Status ; Surveys and Questionnaires ; Diet

Objective: Nutrition is closely related to the health of the elderly population. This study aimed to provide a comprehensive picture of the nutrition status of elderly Chinese and its related dietary, geographical, and socioeconomic factors. Methods: A total of 13,987 ≥ 60-year-old persons from the 2010-2013 Chinese National Nutrition and Health Survey were included to evaluate various aspects of malnutrition, including underweight, overweight or obesity, and micronutrient inadequacy. Results: Overall, the prevalence of obesity, overweight, and underweight was 12.4%, 34.8%, and 5.7%, respectively, with disparities both geographically and socioeconomically. The prevalence of underweight was higher among the older old (≥ 75 years), rural residents and those with low income, with low education status, and residing in undeveloped West areas. More than 75% of the elderly do not meet the Dietary Reference Intakes for vitamins A, B Conclusions Obesity epidemic, inadequacy of micronutrient intake, and high prevalence of underweight and anemia in susceptible older people are the major nutrition challenges for the rapidly aging population in China.
Age Factors ; Aged ; Aged, 80 and over ; China/epidemiology* ; Cross-Sectional Studies ; Diet/statistics & numerical data* ; Female ; Health Surveys ; Humans ; Male ; Malnutrition/etiology* ; Micronutrients/deficiency* ; Middle Aged ; Nutritional Status ; Overweight/etiology* ; Risk Factors ; Socioeconomic Factors ; Thinness/etiology*

PURPOSE: The purpose of this study was to evaluate the reproducibility and validity of a short food frequency questionnaire (FFQ) for food group intake in Japan, the reproducibility and partial validity of which were previously confirmed for nutrients. METHODS: A total of 288 middle-aged healthy volunteers from 11 different areas of Japan provided nonconsecutive 3-day weighed dietary records (DRs) at 3-month intervals over four seasons. We evaluated reproducibility based on the first (FFQ1) and second (FFQ2) questionnaires and their validity against the DRs by comparing the intake of 20 food groups. Spearman's rank correlation coefficients (SRs) were calculated between energy-adjusted intake from the FFQs and that from the DRs. RESULTS: The intake of 20 food groups estimated from the two FFQs was mostly equivalent. The median energy-adjusted SRs between the FFQ1 and FFQ2 were 0.61 (range 0.38-0.86) for men and 0.66 (0.45-0.84) for women. For validity, the median de-attenuated SRs between DRs and the FFQ1 were 0.51 (0.17-0.76) for men and 0.47 (0.23-0.77) for women. Compared with the DRs, the proportion of cross-classification into exact plus adjacent quintiles with the FFQ1 ranged from 58 to 86% in men and from 57 to 86% in women. According to the robust Z scores and the Bland-Altman plot graphs, the underestimation errors in the FFQ1 tended to be greater in individuals with high mean levels of consumption for meat for men and for other vegetables for both men and women. CONCLUSION The FFQ demonstrated high reproducibility and reasonable validity for food group intake. This questionnaire is short and remains appropriate for identifying associations between diet and health/disease among adults in Japan.
Adult ; Aged ; Diet/statistics & numerical data* ; Diet Surveys ; Energy Intake ; Female ; Food/statistics & numerical data* ; Healthy Volunteers ; Humans ; Japan ; Male ; Middle Aged ; Reproducibility of Results

BACKGROUND: The 2019 novel coronavirus disease (COVID-19) has had a massive impact on public health, resulting in sudden dietary and behavioral habit changes. Frontline epidemic prevention workers play a pivotal role against COVID-19. They must face high-risk infection conditions, insufficient anti-epidemic material supplies, mental pressure, and so on. COVID-19 seriously affects their dietary and behavioral habits, and poor habits make them more susceptible to COVID-19. However, their baseline dietary and behavioral habits before COVID-19 and their willingness to change these habits after the outbreak of COVID-19 remain unclear for these workers in China. This study aimed to explore the baseline dietary and behavioral habits of frontline workers and their willingness to change these habits after the outbreak of the epidemic; in addition, susceptible subgroups were identified by stratified analyses as targets of protective measures to keep them from being infected with COVID-19. METHODS: A cross-sectional study was conducted through an online questionnaire using a sample of 22,459 valid individuals living in China, including 9402 frontline epidemic prevention workers. RESULTS: Before COVID-19, 23.9% of the frontline epidemic prevention workers reported a high-salt diet, 46.9% of them reported a high frequency of fried foods intake, and 50.9% of them smoked cigarettes. After the outbreak of COVID-19, 34.6% of them expressed a willingness to reduce salt intake, and 43.7% of them wanted to reduce the frequency of pickled vegetables intake. A total of 37.9% of them expressed a willingness to decrease or quit smoking, and 44.5% of them wanted to increase sleep duration. Significant differences in the baseline dietary and behavioral habits and the willingness to change their habits were observed between frontline epidemic prevention workers and other participants. Among the frontline epidemic prevention workers with poor dietary and behavioral habits before COVID-19, frontline epidemic prevention experience was a promoting factor for adopting worse dietary and behavioral habits, including those in the high-salt intake subgroup (OR, 2.824; 95% CI, 2.341-3.405) and the 11-20 cigarettes/day subgroup (OR, 2.067; 95% CI, 1.359-3.143). CONCLUSIONS The dietary and behavioral habits of frontline epidemic prevention workers were worse than that those of other participants before COVID-19. They had a greater willingness to adopt healthy dietary and behavioral habits after experiencing the outbreak of COVID-19. However, frontline epidemic prevention workers with poor dietary and behavioral habits before COVID-19 continued in engage in these poor habits. Dietary and behavioral intervention policies should be drafted to protect their health, especially frontline epidemic prevention workers with poor habits at baseline.
Adult ; COVID-19/psychology* ; China/epidemiology* ; Cross-Sectional Studies ; Diet/standards* ; Female ; Health Behavior ; Health Knowledge, Attitudes, Practice ; Health Personnel/psychology* ; Humans ; Male ; Risk Reduction Behavior ; SARS-CoV-2 ; Surveys and Questionnaires

BACKGROUND: Although long maternal working hours are reported to have a negative effect on children's dietary habits, few studies have investigated this issue in Japan. Healthy dietary habits in childhood are important because they may reduce the risk of future disease. Here, we examined the relationship between maternal employment status and children's dietary intake in 1693 pairs of Japanese primary school 5th and 6th graders and their mothers. METHODS: The survey was conducted using two questionnaires, a brief-type self-administered diet history questionnaire and a lifestyle questionnaire. The analysis also considered mothers' and children's nutrition knowledge, attitudes toward diet, and some aspects of family environment. RESULTS: Longer maternal working hours were associated with children's higher intake of white rice (g/1000kcal) (β 11.4, 95%CI [1.0, 21.9]; working ≥8h vs. not working), lower intake of confectioneries (g/1000kcal) (β -4.0 [-7.6, -0.4]), and higher body mass index (BMI) (kg/m CONCLUSIONS Longer maternal working hours were significantly associated with higher intake of white rice and lower intake of confectioneries, as well as higher BMI among children. Even when a mother works, however, it may be possible to improve her child's dietary intake by other means such as nutrition education for children or enhancement of food environment.
Adult ; Child ; Child Health/standards* ; Diet/standards* ; Diet Surveys ; Employment ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Japan ; Life Style ; Male ; Middle Aged ; Mothers ; Nutritional Status ; Surveys and Questionnaires

OBJECTIVE: To investigate nutritional knowledge, attitudes and dietary behaviors of teachers and students in a medical college in Beijing and their influencine factors, and to provide evidence for nutrition education and promotion. METHODS: The subjects of this study were teachers, as well as first-year and second-year graduate students, and first-year to third-year undergraduate students. The teachers and students were respectively sampled by stratified cluster sampling with equal proportion. t-test or ANOVA was used to compare the means between the groups, and multiple linear regression was used to analyze the influencing factors of knowledge, attitude and practice (KAP) score. RESULTS: The average score of nutrition knowledge was 5.7±1.5. The knowledge rate of nutrition was 57.3%. The average score of nutritional attitudes was 8.3±3.0. The mean nutritional behavior score was 5.1±2.0. The average nutritional KAP score was 19.1±4.6, with the teachers 19.9±5.2 higher than the students 18.9±4.5; the female 19.5±4.5 higher than the male 18.4±4.5; All the differences were statistically significant (P < 0.05). The scores of nutritional attitudes, nutritional behavior and total KAP scores of doctoral students were significantly higher than those of the undergraduate and postgraduate students (P < 0.01). CONCLUSION The nutrition attitudes of teachers and students is relatively correct, the nutrition knowledge needs to be further strengthened, and there are some unreasonable aspects in the nutrition behaviors. Gender, identity and degree are the main influencing factors of the nutrition score of knowledge, attitudes and behaviors. It is necessary to carry out nutritional education in schools to improve the nutrition knowledge of teachers and students, correct bad eating habits, and promote the construction of healthy China action.
China ; Diet ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Male ; Students ; Surveys and Questionnaires