Machine-learning prediction of BMI change among doctors and nurses in North China during the COVID-19 pandemic

ObjectiveThe COVID-19 pandemic has become a major public health concern over the past 3 years, leading to adverse effects on front-line healthcare workers. This study aimed to develop a Body Mass Index (BMI) change prediction model among doctors and nurses in North China during the COVID-19 pandemic, and further identified the predicting effects of lifestyles, sleep quality, work-related conditions, and personality traits on BMI change.MethodsThe present study was a cross-sectional study conducted in North China, during May-August 2022. A total of 5,400 doctors and nurses were randomly recruited from 39 COVID-19 designated hospitals and 5,271 participants provided valid responses. Participants’ data related to social-demographics, dietary behavior, lifestyle, sleep, personality, and work-related conflicts were collected with questionnaires. Deep Neural Network (DNN) was applied to develop a BMI change prediction model among doctors and nurses during the COVID-19 pandemic.ResultsOf participants, only 2,216 (42.0%) individuals kept a stable BMI. Results showed that personality traits, dietary behaviors, lifestyles, sleep quality, burnout, and work-related conditions had effects on the BMI change among doctors and nurses. The prediction model for BMI change was developed with a 33-26-20-1 network framework. The DNN model achieved high prediction efficacy, and values of R2, MAE, MSE, and RMSE for the model were 0.940, 0.027, 0.002, and 0.038, respectively. Among doctors and nurses, the top five predictors in the BMI change prediction model were unbalanced nutritional diet, poor sleep quality, work-family conflict, lack of exercise, and soft drinks consumption.ConclusionDuring the COVID-19 pandemic, BMI change was highly prevalent among doctors and nurses in North China. Machine learning models can provide an automated identification mechanism for the prediction of BMI change. Personality traits, dietary behaviors, lifestyles, sleep quality, burnout, and work-related conditions have contributed to the BMI change prediction. Integrated treatment measures should be taken in the management of weight and BMI by policymakers, hospital administrators, and healthcare workers

Analysis on consumption of drinking water among the population over the age of 3 in sixteen provinces of China

Objective This study aims to investigate the consumption of packaged drinking water in sixteen provinces in China, and provide scientific basis for related food safety risk assessment. Methods The data was from the resident food consumption survey by China National Center for Food Safety Risk Assessment, including 43 319 residents above 3 years old from 16 provinces during 2013-2014. The database establishment and data analysis were conducted by SAS 9.4. χ2 test and Kruskal-Wallis test were used to analyze the consumption and influencing factors of barreled drinking water and bottled drinking water. Results The consumption percentage of barreled water was 26.2% and the consumption percentage of bottled water was 14.4%. The average consumption of bottled water was 249.7 mL/d and the average consumption of bottled water was 56.4 mL/d, the average consumption of barreled water for consumers was 951.6 mL/d, and the average consumer consumption bottled water was 392.2 mL/d. The consumption percentage, consumption of whole population and consumers for barreled drinking water and bottled drinking water in male were higher than that in female. The consumption percentage, consumption of whole population and consumers for barreled drinking water in population with income under 10 000 yuan were higher than that in other groups. The consumption percentage, consumption of whole population and consumers for bottled drinking water in population with income over 30 000 yuan were higher than that in other groups. The consumption percentage, consumption of whole population and consumers for bottled water in urban areas were higher than those in rural areas, while it was the opposite for barreled drinking water. In addition, the consumption were also affected by age, education level and other factors. Conclusion The consumption and consumption percentage of drinking water were relatively low in China. The consumption of drinking water varies among different populations in China, the consumption of barreled drinking water and bottled drinking water was related to age, education, family income and region factors

Method of upper and lower solutions for fractional differential equations

In this paper, we show the existence and uniqueness of solutions for the boundary-value problems of fractional differential equations, using the upper and lower solutions method and monotone iterative algorithm. An example is also included to illustrate our results

Genetic mutations in ribosomal biogenesis gene TCOF1 identified in human neural tube defects

Abstract Background Rare mutations in multiple genes have been associated with human neural tube defects (NTDs), but their causative roles in NTDs disease are poorly understood. Insufficiency of the ribosomal biogenesis gene treacle ribosome biogenesis factor 1(Tcof1) results in cranial NTDs and craniofacial malformations in mice. Here, we aimed to identify genetic association of TCOF1 with human NTDs. Methods High‐throughput sequencing targeted on TCOF1 was performed on samples from 355 human cases affected by NTDs and 225 controls from a Han Chinese population. Results Four novel missense variants were found in the NTD cohort. Cell‐based assays indicated that the p.(A491G) variant carried by an individual, who shows anencephaly and single‐nostril abnormality, attenuates production of total proteins, suggesting a loss‐of‐function mutation in ribosomal biogenesis. Importantly, this variant promotes nucleolar disruption and stabilizes p53 protein, highlighting an unbalancing effect on cell apoptosis. Conclusions This study explored the functional impact of a missense variant in TCOF1, implicating a set of novel causative biological factors involved in the pathogenicity of human NTDs, particularly whom combined with craniofacial abnormality

Investigation on the adsorption-interaction mechanism of Pb(II) at surface of silk fibroin protein-derived hybrid nanoflower adsorbent

For further the understanding of the adsorption mechanism of heavy metal ions on the surface of protein-inorganic hybrid nanoflowers, a novel protein-derived hybrid nanoflower was prepared to investigate the adsorption behavior and reveal the function of organic and inorganic parts on the surface of nanoflowers in the adsorption process in this study. Silk fibroin (SF)-derived and copper-based protein-inorganic hybrid nanoflowers of SF@Cu-NFs were prepared through self-assembly. The product was characterized and applied to adsorption of heavy metal ion of Pb(II). With Chinese peony flower-like morphology, the prepared SF@Cu-NFs showed ordered three-dimensional structure and exhibited excellent efficiency for Pb(II) removal. On one hand, the adsorption performance of SF@Cu-HNFs for Pb(II) removal was evaluated through systematical thermodynamic and adsorption kinetics investigation. The good fittings of Langmuir and pseudo-second-order models indicated the monolayer adsorption and high capacity of about 2000 mg g of Pb(II) on SF@Cu-NFs. Meanwhile, the negative values of Δ r G m ( T ) θ and Δ r H m θ proved the spontaneous and exothermic process of Pb(II) adsorption. On the other hand, the adsorption mechanism of SF@Cu-HNFs for Pb(II) removal was revealed with respect to its individual organic and inorganic component. Organic SF protein was designated as responsible 'stamen' adsorption site for fast adsorption of Pb(II), which was originated from multiple coordinative interaction by numerous amide groups; inorganic Cu(PO) crystal was designated as responsible 'petal' adsorption site for slow adsorption of Pb(II), which was restricted from weak coordinative interaction by strong ion bond of Cu(II). With only about 10% weight content, SF protein was proven to play a key factor for SF@Cu-HNFs formation and have a significant effect on Pb(II) treatment. By fabricating SF@Cu-HNFs hybrid nanoflowers derived from SF protein, this work not only successfully provides insights on its adsorption performance and interaction mechanism for Pb(II) removal, but also provides a new idea for the preparation of adsorption materials for heavy metal ions in environmental sewage in the future

Risk–Benefit Assessment of Consumption of Rice for Adult Men in China

Objective: To evaluate the health impact of current and alternative patterns of rice consumption in Chinese adult men (40–79 years of age). Methods: We applied a risk–benefit assessment (RBA) model that took into account the health effects of selenium (Se), cadmium (Cd), and inorganic arsenic (i-As). The health effects included the prevention of prostate cancer associated with exposure to Se, and an increased risk of lung, bladder, and skin cancer for i-As and chronic kidney disease (CKD) for Cd. We defined the baseline scenario (BS) as the current individual mean daily consumption of rice in the population of interest and two alternative scenarios (AS): AS1 = 50 g/day and AS2 = 200 g/day. We estimated the health impact for different age groups in terms of change in Disability-Adjusted Life Years (ΔDALY). Results: The BS of rice consumption was 71.5–105.4 g/day in different age groups of adult men in China. We estimated that for AS1, the mean ΔDALY was −2.76 to 46.2/100,000 adult men of 40–79 years old. For AS2, the mean ΔDALY was 41.3 to 130.8/100,000 individuals in this population group. Conclusion: Our results showed that, based on associated exposure to selenium, cadmium, and i-As in rice, the current consumption of rice does not pose a risk to adult men in China. Also, a lower (50 g/day) or higher (200 g/day) rice consumption will not bring larger beneficial effects

Pseudorogneria libanotica Intraspecific Genetic Polymorphism Revealed by Fluorescence In Situ Hybridization with Newly Identified Tandem Repeats and Wheat Single-Copy Gene Probes

The genus Pseudoroegneria (Nevski) Löve (Triticeae, Poaceae) with its genome abbreviated ‘St’ accounts for more than 60% of perennial Triticeae species. The diploid species Psudoroegneria libanotica (2n = 14) contains the most ancient St genome. Therefore, investigating its chromosomes could provide some fundamental information required for subsequent studies of St genome evolution. Here, 24 wheat cDNA probes covering seven chromosome groups were mapped in P. libanotica to distinguish homoelogous chromosomes, and newly identified tandem repeats were performed to differentiate seven chromosome pairs. Using these probes, we investigated intraspecific population chromosomal polymorphism of P. libanotica. We found that (i) a duplicated fragment of the 5St long arm was inserted into the short arm of 2St; (ii) asymmetrical fluorescence in situ hybridization (FISH) hybridization signals among 2St, 5St, and 7St homologous chromosome pairs; and (iii) intraspecific population of polymorphism in P. libanotica. These observations established the integrated molecular karyotype of P. libanotica. Moreover, we suggested heterozygosity due to outcrossing habit and adaptation to the local climate of P. libanotica. Specifically, the generated STlib_96 and STlib_98 repeats showed no cross-hybridization signals with wheat chromosomes, suggesting that they are valuable for identifying alien chromosomes or introgressed fragments of wild relatives in wheat