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Articles 19801 - 19830 of 55709
Full-Text Articles in Public Health
2021-09-15_Michigandaily_Covidmap, Michigan Department Of Health & Human Services
2021-09-15_Michigandaily_Covidmap, Michigan Department Of Health & Human Services
Daily Michigan COVID-19 Update
The "WHERE WE STAND WITH COVID-19" map was obtained from Michigan's main COVID-19 page: https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated daily at 3p.m., Monday - Saturday.
The State of Michigan is working around the clock to test and treat COVID-19 patients. Below is the most recent data healthcare experts across the state have compiled.
The image contained a map, indicating total cases by county, and also provides statistics on Total Confirmed Cases, Total COVID-19 Deaths, Daily Confirmed Cases, and Daily COVID-19 Deaths. There …
2021-09-15_Michiganoverview_Covidbedppe, Michigan Department Of Health & Human Services
2021-09-15_Michiganoverview_Covidbedppe, Michigan Department Of Health & Human Services
Michigan COVID-19 Hospital Data
Contains the tables Statewide Hospital Capacity Report for COVID-19, COVID-19 Metrics, Statewide Hospital Available PPE Tracking for COVID-19, as well as the tables PPE Days On Hand and Patient Census.
Pre-Exposure Prophylaxis (Prep) Uptake Among Black Men Who Have Sex With Men (Bmsm) In The Southern U.S, Oluwafemi Adeagbo, Sayward Elizabeth Harrison, Shan Qiao Ph.D., Xiaoming Li Ph.D.
Pre-Exposure Prophylaxis (Prep) Uptake Among Black Men Who Have Sex With Men (Bmsm) In The Southern U.S, Oluwafemi Adeagbo, Sayward Elizabeth Harrison, Shan Qiao Ph.D., Xiaoming Li Ph.D.
Faculty Publications
Black men who have sex with men (BMSM) living in the United States (U.S.) South are disproportionately affected by HIV and experience significant disparities in HIV incidence, access to HIV care, and prevention across ages and socio-economic statuses. The aim of this commentary is to critically review current literature on the state of PrEP use among BMSM in the U.S. South, including identifying barriers and facilitators to PrEP use in order to inform intervention development. Extant literature shows that despite the documented benefits of PrEP as an effective HIV-prevention method, its uptake among BMSM is limited across the U.S. South. …
Do Water Safety Lessons Improve Water Safety Knowledge?, Michael J. Tipton, Joseph Muller, Cristian Abelairas Gomez, Jo Corbett
Do Water Safety Lessons Improve Water Safety Knowledge?, Michael J. Tipton, Joseph Muller, Cristian Abelairas Gomez, Jo Corbett
International Journal of Aquatic Research and Education
A person, usually a child or young adult, dies by drowning every 90 seconds around the planet. Most drowning prevention initiatives do not assess the efficacy of the intervention. In this study, thirteen- to fourteen-year-olds had their level of water safety knowledge (covering cold shock, rips and tides) assessed before, just after, and 3-6 months after one, 25-minute water safety lesson on these topics. We evaluated the knowledge gained and retained on water safety “awareness” (i.e., knowledge of risks) and “confidence” in terms of knowing what to do in an emergency. The results demonstrated that the lesson significantly increased water …
Emergency Medicine And Covid-19: Now And Next Year, Theodore A. Christopher, Adrienne N. Christopher
Emergency Medicine And Covid-19: Now And Next Year, Theodore A. Christopher, Adrienne N. Christopher
Department of Emergency Medicine Faculty Papers
The COVID-19 pandemic is responsible for infecting to date more than 93 million people worldwide and causing more than 2 million deaths. That the vast majority of deaths have occurred in the United States (U.S.) can be attributed to nonadherence by Americans to basic public health mitigation strategies that are known to curtail coronavirus spread. Emergency Departments (ED’s) throughout the U.S. experienced a dramatic decrease in patient visits during the first surge of COVID-19, followed by an ED patient visit rebound to approximately 80% of pre-COVID-19 numbers, which have remained relatively stable through the current second COVID-19 surge. The pandemic …
Analysis Of Genes (Tmem106b, Grn, Abcc9, Kcnmb2, And Apoe) Implicated In Risk For Late-Nc And Hippocampal Sclerosis Provides Pathogenetic Insights: A Retrospective Genetic Association Study, Adam J. Dugan, Peter T. Nelson, Yuriko Katsumata, Lincoln M. P. Shade, Kevin L. Boehme, Merilee A. Teylan, Matthew D. Cykowski, Shubhabrata Mukherjee, John S. K. Kauwe, Timothy J. Hohman, Julie A. Schneider, Alzheimer’S Disease Genetics Consortium, David W. Fardo
Analysis Of Genes (Tmem106b, Grn, Abcc9, Kcnmb2, And Apoe) Implicated In Risk For Late-Nc And Hippocampal Sclerosis Provides Pathogenetic Insights: A Retrospective Genetic Association Study, Adam J. Dugan, Peter T. Nelson, Yuriko Katsumata, Lincoln M. P. Shade, Kevin L. Boehme, Merilee A. Teylan, Matthew D. Cykowski, Shubhabrata Mukherjee, John S. K. Kauwe, Timothy J. Hohman, Julie A. Schneider, Alzheimer’S Disease Genetics Consortium, David W. Fardo
Biostatistics Faculty Publications
Limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) is the most prevalent subtype of TDP-43 proteinopathy, affecting up to 1/3rd of aged persons. LATE-NC often co-occurs with hippocampal sclerosis (HS) pathology. It is currently unknown why some individuals with LATE-NC develop HS while others do not, but genetics may play a role. Previous studies found associations between LATE-NC phenotypes and specific genes: TMEM106B, GRN, ABCC9, KCNMB2, and APOE. Data from research participants with genomic and autopsy measures from the National Alzheimer’s Coordinating Center (NACC; n = 631 subjects included) and the Religious Orders Study and Memory …
2021-09-14_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services
2021-09-14_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services
Michigan COVID-19 Syndromic Surveillance System Data
The Syndromic Surveillance System Data report was obtained from Michigan's COVID-19 dashboard, from under the link "Coronavirus Symptoms": https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated three times a week on Mondays, Wednesdays and Fridays.
Syndromic Surveillance System data is obtained from approximately 216 facilities participating in syndromic surveillance (139 Emergency Departments (ED), 77 Urgent Care) across the State of Michigan. The reporting is based on individuals who present at EDs and may not be representative of the overall population. The coronavirus-like symptoms query searches visit free-text (chief complaint, …
2021-09-14_Michiganoverview_Covidlongtermcare, Michigan Department Of Health & Human Services
2021-09-14_Michiganoverview_Covidlongtermcare, Michigan Department Of Health & Human Services
Michigan COVID-19 Long Term Care Data
The COVID Long Term Care Facilities page was obtained from Michigan's COVID-19 data page: https://www.michigan.gov/coronavirus/0,9753,7-406-98163_98173-526911--,00.html.
This report is created by the Michigan Department of Health & Human Services from data self-reported by long-term care facilities into EMResource. Data for all reporting facilities is posted weekly each Monday.
The information below represents COVID-19 data reported directly to MDHHS by licensed and operating Skilled Nursing, Home for the Aged and Adult Foster Care facilities (licensed to serve 13 or more individuals) in Michigan from January 1, 2020. All long-term care facilities additionally have an obligation to report COVID-positive residents and/or staff …
Covid-19 Newsletter (Vol. 88), Center For Disaster Medicine, New York Medical College
Covid-19 Newsletter (Vol. 88), Center For Disaster Medicine, New York Medical College
COVID-19 Newsletter
No abstract provided.
Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole Hair, Nicholas Yell, Zhenlong Li, Shan Qiao Ph.D., Xiaoming Li Ph.D.
Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole Hair, Nicholas Yell, Zhenlong Li, Shan Qiao Ph.D., Xiaoming Li Ph.D.
Faculty Publications
Disparities and their geospatial patterns exist in morbidity and mortality of COVID-19 patients. When it comes to the infection rate, there is a dearth of research with respect to the disparity structure, its geospatial characteristics, and the pre-infection determinants of risk (PIDRs). This work aimed to assess the temporal-geospatial associations between PIDRs and COVID-19 infection at the county level in South Carolina. We used the spatial error model (SEM), spatial lag model (SLM), and conditional autoregressive model (CAR) as global models and the geographically weighted regression model (GWR) as a local model. The data were retrieved from multiple sources including …
Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole L. Hair, Nicholas Yell, Zhenlong Li, Shan Qiao, Chen Liang, Xiaoming Li
Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole L. Hair, Nicholas Yell, Zhenlong Li, Shan Qiao, Chen Liang, Xiaoming Li
Faculty Publications
Disparities and their geospatial patterns exist in morbidity and mortality of COVID-19 patients. When it comes to the infection rate, there is a dearth of research with respect to the disparity structure, its geospatial characteristics, and the pre-infection determinants of risk (PIDRs). This work aimed to assess the temporal–geospatial associations between PIDRs and COVID-19 infection at the county level in South Carolina. We used the spatial error model (SEM), spatial lag model (SLM), and conditional autoregressive model (CAR) as global models and the geographically weighted regression model (GWR) as a local model. The data were retrieved from multiple sources including …
Engaging Rural High School Youth In E-Cigarette Prevention And Advocacy, Melinda J. Ickes, Olivia Zidzik, Nathan L. Vanderford
Engaging Rural High School Youth In E-Cigarette Prevention And Advocacy, Melinda J. Ickes, Olivia Zidzik, Nathan L. Vanderford
Journal of Interprofessional Practice and Collaboration
Introduction: Recent national data reinforce over 3.6 million young people across the United States are currently using e-cigarettes, but little research exists on prevention and/or youth engagement strategies.
Purpose: Pilot a peer led e-cigarette prevention and advocacy training and determine attitudes and self-efficacy among participating rural high school leaders post-training.
Methods: The study incorporated a one-group, post-test design. Participants were recruited from an existing student leadership program (N = 16) which provides advanced cancer education and training to high school students who are from Appalachian Kentucky who participated in an e-cigarette prevention and empowerment training in December 2019. Data …
2021-09-13_Michiganoverview_Covidschooloutbreak, Michigan Department Of Health & Human Services
2021-09-13_Michiganoverview_Covidschooloutbreak, Michigan Department Of Health & Human Services
Michigan COVID-19 Outbreak Reports
The School Outbreak Data page was obtained from Michigan's COVID-19 data page: https://www.michigan.gov/coronavirus/0,9753,7-406-98163_98173_102480---,00.html.
This report is created by the Michigan Department of Health & Human Services from data self-reported by local health departments. Data is updated every week.
In accordance with the Council of State and Territorial Epidemiologists’ outbreak definition, schools that have been found by their local health department to have two (2) or more COVID-19 cases who may have shared exposure on school grounds and are from different households are included. Case counts for school-related outbreaks include those associated with before and after school programs (e.g., school-sponsored …
2021-09-13_Michigandaily_Covidmap, Michigan Department Of Health & Human Services
2021-09-13_Michigandaily_Covidmap, Michigan Department Of Health & Human Services
Daily Michigan COVID-19 Update
The "WHERE WE STAND WITH COVID-19" map was obtained from Michigan's main COVID-19 page: https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated daily at 3p.m., Monday - Saturday.
The State of Michigan is working around the clock to test and treat COVID-19 patients. Below is the most recent data healthcare experts across the state have compiled.
The image contained a map, indicating total cases by county, and also provides statistics on Total Confirmed Cases, Total COVID-19 Deaths, Daily Confirmed Cases, and Daily COVID-19 Deaths. There …
2021-09-13_Michiganoverview_Covidbedppe, Michigan Department Of Health & Human Services
2021-09-13_Michiganoverview_Covidbedppe, Michigan Department Of Health & Human Services
Michigan COVID-19 Hospital Data
Contains the tables Statewide Hospital Capacity Report for COVID-19, COVID-19 Metrics, Statewide Hospital Available PPE Tracking for COVID-19, as well as the tables PPE Days On Hand and Patient Census.
2021-09-13_Michiganoverview_Covidcounts, Michigan Department Of Health & Human Services
2021-09-13_Michiganoverview_Covidcounts, Michigan Department Of Health & Human Services
Michigan COVID-19 Confirmed Cases by Date of Onset Data
Data was downloaded as an Excel spreadsheet which appeared in the Public Use Datasets section under the Cumulative Data link of Michigan's Coronavirus webpage, under the url https://www.michigan.gov/coronavirus/0,9753,7-406-98163_98173---,00.html.
Cases are aggregated by the date of onset of COVID-19 symptoms, if known, otherwise by laboratory specimen date if known, otherwise by case referral date. Deaths are aggregated by the date of death if known, otherwise by the last date of a change to the case status.
2021-09-13_Michiganoverview_Covidoutbreak, Michigan Department Of Health & Human Services
2021-09-13_Michiganoverview_Covidoutbreak, Michigan Department Of Health & Human Services
Michigan COVID-19 Outbreak Reports
The Outbreak Data page was obtained from Michigan's COVID-19 data page: https://www.michigan.gov/coronavirus/0,9753,7-406-98163_98173_102057---,00.html.
This report is created by the Michigan Department of Health & Human Services from data self-reported by local health departments. Data is updated every week.
COVID-19 outbreaks are generally defined as two or more cases with a link by place and time indicating a shared exposure outside of a household. Local health departments report the number of new and ongoing outbreaks they are investigating by the setting of the outbreak. New outbreaks are those outbreaks that were first identified during the current reporting week. Ongoing outbreaks are …
2021-09-13_Michiganoverview_Covidstats, Michigan Department Of Health & Human Services
2021-09-13_Michiganoverview_Covidstats, Michigan Department Of Health & Human Services
Cumulative Michigan COVID-19 Data
The COVID Overview page was obtained from Michigan's main COVID-19 page: https:/www.michigan.gov/coronavirus/0,9753,7-406-98163-520743--,00.html.
The State of Michigan is working around the clock to test and treat COVID-19 patients. Below is the most recent data healthcare experts across the state have compiled. COVID case and testing data will be posted three times a week on Mondays, Wednesdays and Fridays.
This report is provisional and subject to change. City of Detroit and Wayne County are reported separately. MDHHS began tracking probable cases April 5, 2020. FCI indicates federal correctional institute. MDOC indicates Michigan Department of Corrections. Diagnostic tests, including nucleic acid amplification/real-time …
Real-Time Geospatial Analysis Identifies Gaps In Covid-19 Vaccination In A Minority Population, Cici Bauer, Kehe Zhang, Miryoung Lee, Michelle Jones, Arturo Rodriguez, Isela De La Cerda, Belinda Reininger, Susan P Fisher-Hoch, Joseph B Mccormick
Real-Time Geospatial Analysis Identifies Gaps In Covid-19 Vaccination In A Minority Population, Cici Bauer, Kehe Zhang, Miryoung Lee, Michelle Jones, Arturo Rodriguez, Isela De La Cerda, Belinda Reininger, Susan P Fisher-Hoch, Joseph B Mccormick
Faculty, Staff and Student Publications
COVID-19 vaccination is being rapidly rolled out in the US and many other countries, and it is crucial to provide fast and accurate assessment of vaccination coverage and vaccination gaps to make strategic adjustments promoting vaccine coverage. We reported the effective use of real-time geospatial analysis to identify barriers and gaps in COVID-19 vaccination in a minority population living in South Texas on the US-Mexico Border, to inform vaccination campaign strategies. We developed 4 rank-based approaches to evaluate the vaccination gap at the census tract level, which considered both population vulnerability and vaccination priority and eligibility. We identified areas with …
Emergency Medicine Shift Factors Causing The Most Stress Among Emergency Medicine Residents, Mohamad Moussa, Kristen Hayden, Chia-Hao Shih, Sadik Khuder, Zayd Safadi, Connor Parsell
Emergency Medicine Shift Factors Causing The Most Stress Among Emergency Medicine Residents, Mohamad Moussa, Kristen Hayden, Chia-Hao Shih, Sadik Khuder, Zayd Safadi, Connor Parsell
Journal of Wellness
Introduction: Past studies demonstrate that stress and anxiety affect emergency medicine physicians, but the causal factors identified are usually from sources outside the work shift. We attempt to show the relationship between intrinsic factors of a work shift and anxiety perceived by residents, while also examining differing gender responses.
Methods: In 2018, a cross-sectional survey of emergency medicine residents in the United States was distributed anonymously through the Emergency Medicine Residents Association. The survey consisted of demographic questions, novel questions identifying intrinsic factors, and the Generalized Anxiety Disorder 7-item (GAD-7) scale. Spearman correlation, independent t-test, and multivariate analysis of variance …
Ankyrin-Dependent Na+ Channel Clustering Prevents Neuromuscular Synapse Fatigue, Chuansheng Zhang, Abhijeet Joshi, Yanhong Liu, Ozlem Sert, Seth G Haddix, Lindsay H Teliska, Anne Rasband, George G Rodney, Matthew N Rasband
Ankyrin-Dependent Na+ Channel Clustering Prevents Neuromuscular Synapse Fatigue, Chuansheng Zhang, Abhijeet Joshi, Yanhong Liu, Ozlem Sert, Seth G Haddix, Lindsay H Teliska, Anne Rasband, George G Rodney, Matthew N Rasband
Faculty, Staff and Students Publications
Skeletal muscle contraction depends on activation of clustered acetylcholine receptors (AchRs) and muscle-specific Na+ channels (Nav1.4). Some Nav1.4 channels are highly enriched at the neuromuscular junction (NMJ) and their clustering is thought to be essential for effective muscle excitation. However, this has not been experimentally tested, and how NMJ Na+ channels are clustered is unknown. Here, using muscle-specific AnkyrinR, AnkyrinB, and AnkyrinG single, double, and triple-conditional knockout mice we show that Nav1.4 channels fail to cluster only after deletion of all three ankyrins. Remarkably, ankyrin-deficient muscles have normal NMJ morphology, AchR clustering, sarcolemmal levels of Nav1.4, and muscle force, and …
2021-09-12_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services
2021-09-12_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services
Michigan COVID-19 Syndromic Surveillance System Data
The Syndromic Surveillance System Data report was obtained from Michigan's COVID-19 dashboard, from under the link "Coronavirus Symptoms": https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated three times a week on Mondays, Wednesdays and Fridays.
Syndromic Surveillance System data is obtained from approximately 216 facilities participating in syndromic surveillance (139 Emergency Departments (ED), 77 Urgent Care) across the State of Michigan. The reporting is based on individuals who present at EDs and may not be representative of the overall population. The coronavirus-like symptoms query searches visit free-text (chief complaint, …
2021-09-10_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services
2021-09-10_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services
Michigan COVID-19 Syndromic Surveillance System Data
The Syndromic Surveillance System Data report was obtained from Michigan's COVID-19 dashboard, from under the link "Coronavirus Symptoms": https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated three times a week on Mondays, Wednesdays and Fridays.
Syndromic Surveillance System data is obtained from approximately 216 facilities participating in syndromic surveillance (139 Emergency Departments (ED), 77 Urgent Care) across the State of Michigan. The reporting is based on individuals who present at EDs and may not be representative of the overall population. The coronavirus-like symptoms query searches visit free-text (chief complaint, …
2021-09-10_Michigandaily_Covidmap, Michigan Department Of Health & Human Services
2021-09-10_Michigandaily_Covidmap, Michigan Department Of Health & Human Services
Daily Michigan COVID-19 Update
The "WHERE WE STAND WITH COVID-19" map was obtained from Michigan's main COVID-19 page: https://www.michigan.gov/coronavirus. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated daily at 3p.m., Monday - Saturday.
The State of Michigan is working around the clock to test and treat COVID-19 patients. Below is the most recent data healthcare experts across the state have compiled.
The image contained a map, indicating total cases by county, and also provides statistics on Total Confirmed Cases, Total COVID-19 Deaths, Daily Confirmed Cases, and Daily COVID-19 Deaths. There …
Forward Together Update [Student Health Center, Testing, & Panther Health Survey], September 10, 2021, University Of Northern Iowa
Forward Together Update [Student Health Center, Testing, & Panther Health Survey], September 10, 2021, University Of Northern Iowa
UNI Response to COVID-19
Explains that if a person wants to be tested for COVID at the Student Health Center, they should call and make an appointment. Reminds that the self-test kits can be picked up withour making an appointment. Reminds that the Panther Health Survey is still to be used by everyone who is either having symptoms of COVID-19, exposed to COVID-19 and unvaccinated, or need to access COVID-19 leave. Reminds that vaccines are available and for people to practice self-care as the semester starts to get busier.
2021-09-10_Michiganoverview_Covidbedppe, Michigan Department Of Health & Human Services
2021-09-10_Michiganoverview_Covidbedppe, Michigan Department Of Health & Human Services
Michigan COVID-19 Hospital Data
Contains the tables Statewide Hospital Capacity Report for COVID-19, COVID-19 Metrics, Statewide Hospital Available PPE Tracking for COVID-19, as well as the tables PPE Days On Hand and Patient Census.
2021-09-10_Michiganoverview_Covidvaccinestats, Michigan Department Of Health & Human Services
2021-09-10_Michiganoverview_Covidvaccinestats, Michigan Department Of Health & Human Services
Michigan COVID-19 Vaccine Data
The COVID Vaccine Dashboard page was obtained from Michigan's main COVID-19 page: https://www.michigan.gov/coronavirus/0,9753,7-406-98178_103214-547150--,00.html.
Previously reported numbers of administered vaccine doses may change as new data are received. A possible lag in reporting vaccine doses will result in increases in numbers previously reported.
This report is created by the Michigan Department of Health and Human Services Division of Immunization from data reported to the Michigan Care Improvement Registry (MCIR).
The dashboard contained the tabs Vaccines Delivered, Delivery Trend, Doses Administered, Doses by Vaccine, Doses Metrics, Additnl. Doses, Coverage, Age/Sex, Race/Ethnicity, Enrolled …
2021-09-10_Michiganoverview_Covidstats, Michigan Department Of Health & Human Services
2021-09-10_Michiganoverview_Covidstats, Michigan Department Of Health & Human Services
Cumulative Michigan COVID-19 Data
The COVID Overview page was obtained from Michigan's main COVID-19 page: https:/www.michigan.gov/coronavirus/0,9753,7-406-98163-520743--,00.html.
The State of Michigan is working around the clock to test and treat COVID-19 patients. Below is the most recent data healthcare experts across the state have compiled. COVID case and testing data will be posted three times a week on Mondays, Wednesdays and Fridays.
This report is provisional and subject to change. City of Detroit and Wayne County are reported separately. MDHHS began tracking probable cases April 5, 2020. FCI indicates federal correctional institute. MDOC indicates Michigan Department of Corrections. Diagnostic tests, including nucleic acid amplification/real-time …
Functions Of Social Networks In Maternal Food Choice For Children In Mexico, Ligia I. Reyes, Edward A. Frongillo, Spencer Moore, Christine E. Blake, Wendy Gonzalez, Anabelle Bonvecchio
Functions Of Social Networks In Maternal Food Choice For Children In Mexico, Ligia I. Reyes, Edward A. Frongillo, Spencer Moore, Christine E. Blake, Wendy Gonzalez, Anabelle Bonvecchio
Faculty Publications
Food choice for children has important implications in establishing early-life dietary habits and preferences. Food choice for children has been studied as parent–child dyad dynamics, but little is known about the extended system of relationships in maternal food choice for children. The objective of this study was to understand the functions of mothers' social networks in the food choices that mothers make for their children ages 1 to 5 years old in rural Mexico. In-depth interviews were conducted with 46 participants in three rural communities. The interviews inquired about participants' child-feeding practices, personal and local beliefs about child feeding and …
The Association Of Parent-Child Communication With Internet Addiction In Left-Behind Children In China: A Cross-Sectional Study, Jingjing Cai, Yun Wang, Feng Wang, Jingjing Lu, Lu Li, Xudong Zhou
The Association Of Parent-Child Communication With Internet Addiction In Left-Behind Children In China: A Cross-Sectional Study, Jingjing Cai, Yun Wang, Feng Wang, Jingjing Lu, Lu Li, Xudong Zhou
Pharmacy Faculty Articles and Research
Objective: Internet addiction has emerged as a growing concern worldwide. This study aimed to compare the prevalence of Internet addiction between left-behind children (LBC) and non-left-behind children (non-LBC), and explore the role of paternal and maternal parent-child communication on LBC.
Methods: We conducted a cross-sectional survey in rural areas in Anhui, China. The complete data were available from 699 LBC and 740 non-LBC. Multivariable logistic regression was used to examine 1) whether LBC were more likely to develop Internet addiction, and 2) the association between parent-child communication and Internet addiction among LBC.
Results: LBC had a higher likelihood to report …