Chronotype, Unhealthy Lifestyle, and Diabetes Risk in Middle-Aged U.S. Women : A Prospective Cohort Study.

BACKGROUND: Evening chronotype may promote adherence to an unhealthy lifestyle and increase type 2 diabetes risk. OBJECTIVE: To evaluate the role of modifiable lifestyle behaviors in the association between chronotype and diabetes risk. DESIGN: Prospective cohort study. SETTING: Nurses' Health Study II. PARTICIPANTS: 63 676 nurses aged 45 to 62 years with no history of cancer, cardiovascular disease, or diabetes in 2009 were prospectively followed until 2017. MEASUREMENTS: Self-reported chronotype using a validated question from the Morningness-Eveningness Questionnaire. The lifestyle behaviors that were measured were diet quality, physical activity, alcohol intake, body mass index (BMI), smoking, and sleep duration. Incident diabetes cases were self-reported and confirmed using a supplementary questionnaire. RESULTS: Participants reporting a "definite evening" chronotype were 54% (95% CI, 49% to 59%) more likely to have an unhealthy lifestyle than participants reporting a "definite morning" chronotype. A total of 1925 diabetes cases were documented over 469 120 person-years of follow-up. Compared with the "definite morning" chronotype, the adjusted hazard ratio (HR) for diabetes was 1.21 (CI, 1.09 to 1.35) for the "intermediate" chronotype and 1.72 (CI, 1.50 to 1.98) for the "definite evening" chronotype after adjustment for sociodemographic factors, shift work, and family history of diabetes. Further adjustment for BMI, physical activity, and diet quality attenuated the association comparing the "definite evening" and "definite morning" chronotypes to 1.31 (CI, 1.13 to 1.50), 1.54 (CI, 1.34 to 1.77), and 1.59 (CI, 1.38 to 1.83), respectively. Accounting for all measured lifestyle and sociodemographic factors resulted in a reduced but still positive association (HR comparing "definite evening" vs. "definite morning" chronotype, 1.19 [CI, 1.03 to 1.37]). LIMITATIONS: Chronotype assessment using a single question, self-reported data, and homogeneity of the study population. CONCLUSION: Middle-aged nurses with an evening chronotype were more likely to report unhealthy lifestyle behaviors and had increased diabetes risk compared with those with a morning chronotype. Accounting for BMI, physical activity, diet, and other modifiable lifestyle factors attenuated much but not all of the increased diabetes risk. PRIMARY FUNDING SOURCE: National Institutes of Health.

Open Science Standards at Journals that Inform Evidence-Based Policy.

Evidence-based policy uses intervention research to inform consequential decisions about resource allocation. Research findings are often published in peer-reviewed journals. Because detrimental research practices associated with closed science are common, journal articles report more false-positives and exaggerated effect sizes than would be desirable. Journal implementation of standards that promote open science-such as the transparency and openness promotion (TOP) guidelines-could reduce detrimental research practices and improve the trustworthiness of research evidence on intervention effectiveness. We evaluated TOP implementation at 339 peer-reviewed journals that have been used to identify evidence-based interventions for policymaking and programmatic decisions. Each of ten open science standards in TOP was not implemented in most journals' policies (instructions to authors), procedures (manuscript submission systems), or practices (published articles). Journals implementing at least one standard typically encouraged, but did not require, an open science practice. We discuss why and how journals could improve implementation of open science standards to safeguard evidence-based policy.

Use of research electronic data capture (REDCap) in a COVID-19 randomized controlled trial: a practical example.

BACKGROUND: Randomized controlled trials (RCT) are considered the ideal design for evaluating the efficacy of interventions. However, conducting a successful RCT has technological and logistical challenges. Defects in randomization processes (e.g., allocation sequence concealment) and flawed masking could bias an RCT's findings. Moreover, investigators need to address other logistics common to all study designs, such as study invitations, eligibility screening, consenting procedure, and data confidentiality protocols. Research Electronic Data Capture (REDCap) is a secure, browser-based web application widely used by researchers for survey data collection. REDCap offers unique features that can be used to conduct rigorous RCTs. METHODS: In September and November 2020, we conducted a parallel group RCT among Indiana University Bloomington (IUB) undergraduate students to understand if receiving the results of a SARS-CoV-2 antibody test changed the students' self-reported protective behavior against coronavirus disease 2019 (COVID-19). In the current report, we discuss how we used REDCap to conduct the different components of this RCT. We further share our REDCap project XML file and instructional videos that investigators can use when designing and conducting their RCTs. RESULTS: We reported on the different features that REDCap offers to complete various parts of a large RCT, including sending study invitations and recruitment, eligibility screening, consenting procedures, lab visit appointment and reminders, data collection and confidentiality, randomization, blinding of treatment arm assignment, returning test results, and follow-up surveys. CONCLUSIONS: REDCap offers powerful tools for longitudinal data collection and conduct of rigorous and successful RCTs. Investigators can make use of this electronic data capturing system to successfully complete their RCTs. TRIAL REGISTRATION: The RCT was prospectively (before completing data collection) registered at ClinicalTrials.gov; registration number: NCT04620798 , date of registration: November 9, 2020.

Depression and loneliness during April 2020 COVID-19 restrictions in the United States, and their associations with frequency of social and sexual connections.

PURPOSE: To estimate the prevalence of depression and loneliness during the US COVID-19 response, and examine their associations with frequency of social and sexual connections. METHODS: We conducted an online cross-sectional survey of a nationally representative sample of American adults (n = 1010), aged 18-94, running from April 10-20, 2020. We assessed depressive symptoms (CES-D-10 scale), loneliness (UCLA 3-Item Loneliness scale), and frequency of in-person and remote social connections (4 items, e.g., hugging family member, video chats) and sexual connections (4 items, e.g., partnered sexual activity, dating app use). RESULTS: One-third of participants (32%) reported depressive symptoms, and loneliness was high [mean (SD): 4.4 (1.7)]. Those with depressive symptoms were more likely to be women, aged 20-29, unmarried, and low-income. Very frequent in-person connections were generally associated with lower depression and loneliness; frequent remote connections were not. CONCLUSIONS: Depression and loneliness were elevated during the early US COVID-19 response. Those who maintained very frequent in-person, but not remote, social and sexual connections had better mental health outcomes. While COVID-19 social restrictions remain necessary, it will be critical to expand mental health services to serve those most at-risk and identify effective ways of maintaining social and sexual connections from a distance.

The Relationship Between Household Microfinance Group Participation and Vaccine Adherence Among Children in Rural Western Kenya.

INTRODUCTION: High childhood vaccine adherence is critical for disease prevention, and poverty is a key barrier to vaccine uptake. Interventions like microfinance programs that aim to lift individuals out of poverty could thus improve vaccine adherence of the children in the household. BIGPIC Family Program in rural Western Kenya provides group-based microfinance services while working to improve access to healthcare and health screenings for the local community. The aim of the present paper is to evaluate the association between household participation in BIGPIC's microfinance program and vaccine adherence among children in the household. We hypothesize that microfinance group participation will have a positive impact on vaccine adherence among children in the household. METHODS: From 2018 to 2019, we surveyed a sample of 300 participants from two rural communities in Western Kenya, some of whom were participants in the BIGPIC Family's microfinance program. The primary outcome of interest was vaccine adherence of children in the household. Log-binomial models were used to estimate the relationship between microfinance group participation and vaccine adherence, adjusted for key covariates. We also assessed whether the relationship differed by gender of the adult respondent. RESULTS: Microfinance group members were more likely to have all children in their households fully vaccinated [aPR (95% CI): 1.68 (1.20,2.35)] compared to non-microfinance group members. Further, the association was stronger when women were the microfinance members [PR (95% CI): 1.87 (1.27,2.76)] compared to men [PR (95% CI): 1.24 (0.81,1.90)]. CONCLUSIONS: Microfinance participation was associated with higher childhood vaccine adherence in rural Western Kenya. Microfinance interventions should be further explored as strategies to improve child health and well-being in low- and middle-income countries.

Active surveillance of ticks in peri-domestic areas of Indiana, Midwest United States.

BACKGROUND & OBJECTIVES: The incidence of Borreliosis, Anaplasmosis, Babesiosis and other tick-borne diseases acquired from private residential/peri-domestic areas has increased over the decades. However, tick activity and proportion of private residential properties with established tick populations remain unknown. The purpose of the current study was to determine the predictors of tick activity in peri-domestic areas. METHODS: In a cross-sectional study design, we used snowball-sampling with cold-calling techniques to collect free-living ticks, sociodemographic, and microclimatic data from June to November 2018 from a total of 96 private residential areas in south-central Indiana, USA. RESULTS: Thirty-eight percent of peri-domestic areas sampled had tick activity, and of these, 50% had established tick populations. Nymphal ticks were the most abundant life stage. Self-reported TBD diagnosis was 16%. Amblyomma americanum [Linnaeus (lone star tick)] was the most abundant tick species collected. Other tick species identified include: Ixodes scapularis [Say (black-legged/deer tick)] and Dermacentor variabilis [Say (American dog tick)]. Increasing temperature was positively associated with tick activity, while elevation was negatively associated with tick abundance. INTERPRETATION & CONCLUSION: Our study results reveal that the proportion of peri-domestic areas in Indiana with established tick populations is high. Amblyomma americanum tick is the most predominant tick species in peri-domestic areas of south-central Indiana. Active surveillance of ticks in peri-domestic areas is necessary for informing decisions by households and communities about where to target tick exposure and tick-borne disease prevention efforts.

Associations between hurricane exposure, food insecurity, and microfinance; a cross-sectional study in Haiti.

Natural disaster and food insecurity are prevalent in Haiti. Natural disasters may cause long-term food insecurity. Microfinance programs may provide resilience against this outcome. The objectives of this study were 1) to assess the association between the impact of Hurricane Matthew and long-term food insecurity and 2) to understand whether this association varies by participants' membership in a microfinance program. In 2017-2018, we interviewed 304 Haitian female microfinance clients. We used log-binomial regression to evaluate the association between hurricane Matthew impact and long-term food insecurity, with evaluation of effect modification by timing of microfinance exposure. We found that one year after the hurricane, participants who were severely impacted by the hurricane were more likely to report poor dietary diversity and moderate to severe household hunger, compared to the less severely impacted participants. Both associations became insignificant among those who received their first microfinance loan before the hurricane. Natural disasters like hurricanes are associated with long-term food insecurity at individual and household levels. Microfinance programs might improve post-hurricane long-term food security.

Prevalence of Risk and Protective Factors for Tick Exposure and Tick-Borne Disease Among Residents of Indiana.

OBJECTIVE: To determine the prevalence of risk and protective factors for tick exposure and tick-borne disease (TBD) based on gender and living in urban or rural areas (urbanicity) among a cross section of Indiana adults. METHODS: Data were collected from 3003 adults (81% response rate) spread across all 92 Indiana counties. Study participants were recruited from existing online panels maintained by Qualtrics. We calculated prevalence ratio (PR) and 95% confidence interval (CI) of 8 primary outcomes for 2 different exposures: (1) gender (male/female) and (2) urbanicity. RESULTS: Female participants were 10% less likely to find a tick on themselves than male participants (PR = 0.90; 95% CI, 0.74-0.99) and significantly more likely to worry about their health and safety because of ticks, whereas males avoided the outdoors less because of worry about ticks. Female participants were significantly more likely to adopt various personal protective measures, specifically because of concern for ticks. Female participants were also less likely to have been told by a health care provider that they have a TBD (PR = 0.53; 95% CI, 0.38-0.75). Rural participants were significantly more likely to report seeing a tick at their residential property (PR = 2.40; 95% CI, 2.11-2.76), report finding ticks on themselves (PR = 1.90; 95% CI, 1.68-2.23), and report finding a tick on a child at their residential property within the past 6 months than urban dwellers (PR = 1.37; 95% CI, 1.06-1.77). In addition, we found that 62% of participants have very high trust in government sources of information on TBD and tick prevention. CONCLUSIONS: In Indiana, the area around people's residences may constitute an important source of tick exposure for humans. Being exposed to ticks is most prevalent in those living in rural areas of Indiana. Finally, risk factors for TBD are higher among males than among females.

The relationship between a microfinance-based healthcare delivery platform, health insurance coverage, health screenings, and disease management in rural Western Kenya.

BACKGROUND: Structural barriers often prevent rural Kenyans from receiving healthcare and diagnostic testing. The Bridging Income Generation through grouP Integrated Care (BIGPIC) Family intervention facilitates microfinance groups, provides health screenings and treatment, and delivers education about health insurance coverage to address some of these barriers. This study evaluated the association between participation in BIGPIC microfinance groups and health screening/disease management outcomes. METHODS: From November 2018 to March 2019, we interviewed a sample of 300 members of two rural communities in Western Kenya, 100 of whom were BIGPIC microfinance members. We queried participants about their experiences with health screening and disease management for HIV, diabetes, hypertension, tuberculosis, and cervical cancer. We used log-binomial regression models to estimate the association between microfinance membership and each health outcome, adjusting for key covariates. RESULTS: Microfinance members were more likely to be screened for most of the health conditions we queried, including those provided by BIGPIC [e.g. diabetes: aPR (95% CI): 3.46 (2.60, 4.60)] and those not provided [e.g. cervical cancer: aPR (95% CI): 2.43 (1.21, 4.86)]. Microfinance membership was not significantly associated with health insurance uptake and disease management outcomes. CONCLUSIONS: In rural Kenya, a microfinance program integrated with healthcare delivery may be effective at increasing health screening. Interventions designed to thoughtfully and sustainably address structural barriers to healthcare will be critical to improving the health of those living in low-resource settings.

Predictors of Tick Exposure Risk-Reduction Behavior in Indiana.

To identify significant predictors of the adoption of more than one tick-exposure and tick-borne disease risk reduction behavior among a cross-section of Indiana residents. Study participants were recruited through quota sampling, before completing an online self-administered questionnaire in Qualtrics. The most adopted tick exposure risk reduction behavior (TERRB) (was 'Walking on established trails and avoiding contact with adjacent vegetation' (83%, n = 2418). This was followed by 'Conducting a thorough check of clothing and the body soon after returning from the outdoors' (81%, n = 2373). The two least adopted TERRBs were,' Treating outdoor clothing with special insect repellent (e.g. Permethrin)' (48%, n = 1409) and 'Wearing appropriate clothing' ('Tucking shirt into pants, and the pants into socks when outdoors') respectively (52%, n = 1524). Study participants who engaged in residential tick control practices (i.e. 'three-foot wide barrier of wood chips/gravel between lawn and woodland', 'yard pesticide application', 'shrub & tree-branch trimming', 'yard fencing', 'fixed time lawn mowing', and 'leaf litter removal') were significantly more likely to adopt nearly all the assessed TERRBs. Higher scores on TERRB efficacy index were associated with engaging in multiple TERRBs. Higher degree of worry about safety/health because of ticks was also associated with adoption of multiple TERRBs. In conclusion, increased risk perceptions, among Indiana residents is significantly associated with adoption of multiple TERRBs. Identifying the predictors of the adoption of more than one TERRB is vital for the prevention of tick-borne diseases.

Associations Between Personal Protective Measures and Self-Reported Tick-Borne Disease Diagnosis in Indiana Residents.

Several personal protective measures (PPMs) are recommended to prevent tick-borne diseases (TBD). We aimed to quantify the strength of seven PPMs and self-reported TBD diagnosis associations and to understand what variables modify these associations. In June-July 2018, with a cross-sectional study design, we surveyed a sample of adult Indiana state residents. Overall, 2927 participants were eligible for this analysis. All data were self-reported. We used the double robust approach of stabilized inverse probability weighting and propensity score adjustment to obtain ORs. Approximately 5% of participants (n = 142) self-reported TBD diagnosis. Practicing different PPMs ranged from 48% for treating outdoor clothing with special bug-spray to 83% for walking on established trails. Using insect repellent on exposed skin was protective against TBD diagnosis [OR (95% CI): 0.55 (0.35, 0.88)]. A thorough body/clothes check after being outdoors was also protective against TBD diagnosis [OR (95% CI): 0.40 (0.25, 0.67)]. In stratified analyses, TBD knowledge, safety worry because of ticks, avoiding outdoors because of ticks, and pet TBD risk modified the associations between different PPMs and self-reported TBD diagnosis. In the state of Indiana, thorough body/clothes check after being outdoors and use of insect repellent on exposed skin might be strongly effective in preventing TBD. The protective effect of different PPMs might be stronger among people with high TBD knowledge, high safety worry because of ticks, high avoidance of being outdoors because of ticks, and low pet TBD risk. These results might be useful in the design of intervention programs.

Latent class analysis of symptoms for sexually transmitted infections among Iranian women: Results from a population-based survey.

A preliminary symptom-based screening test would lower the financial burden of sexually transmitted infections (STIs) caused by clinical testing. To develop such a screening method, we should first identify the most specific STI symptoms. We aim to distinguish the specific STI symptom(s) that are most likely to be found in the truly infected individuals. We used data from a population-based survey that was conducted in Iran, in 2014. Using Latent Class Analysis (LCA) in R software, we classified 3049 Iranian women, 18-60 years old, with reference to seven self-reported STI-associated symptoms. Using LCA, we categorized nearly 1% of women as "probably STI-infected". Above 70% of participants reported the "seven symptoms" that are associated with STIs, except for genital ulcer. These symptoms could be used to distinguish healthy participants from infected ones. The "probably healthy" class incorporated about 77% of the participants. Lower abdominal pain and abnormal vaginal discharge were the most frequently reported symptoms of this class. The LCA determined classes along with the WHO syndromic guidelines for STI diagnosis can help physicians to make a more accurate diagnosis. Hence, cost-effectively, only patients who are classified as probably infected need to be referred to medical laboratories for further investigations.

Health Education Training Embedded in a Microfinance Platform Associated with Safer Sexual Behavior in Haitian Women.

Sexual health education interventions have generally yielded modest impact, but may be more successful when integrated into programs designed to alleviate poverty and empower women. Between December 2017 and February 2018, we interviewed 304 Haitian female microfinance clients, 75 of whom had received health education training delivered within their regular meetings. Participants reported six key sexual health outcomes. We used log-binomial models to estimate the association between health education training and each outcome, and tested for interaction by age and literacy status. Women with health education training reported more condom use with unfaithful partners [PR (95% CI) 1.78 (1.04, 3.02)], more HIV testing [PR (95% CI) 1.56 (1.28, 1.90)], and fewer STI symptoms [PR (95% CI) 0.37 (0.19, 0.73)], compared to women with no training. Some of the associations were stronger among older women [e.g. HIV testing: PR (95% CI) 2.09 (1.49, 2.82)] and illiterate women [e.g. condom use: PR (95% CI) 3.46 (1.05, 11.38)]. These findings add to the growing body of evidence demonstrating the potential to use microfinance programs as platforms for health education delivery, and provide the first evidence for the association in Haiti.

Knowledge and perceptions of Zika virus transmission in the community of Puerto Plata, Dominican Republic.

BACKGROUND: Zika virus is associated with increased cases of both microcephaly and Guillain-Barré syndrome. Community knowledge, perceptions and practices to prevent infection with the Zika virus are not well understood, particularly among high risk populations living in resource-poor and Zika-endemic areas. Our objective was to assess knowledge of symptoms, health effects and prevention practices associated with Zika virus in rural communities on the northern coast of the Dominican Republic. METHODS: Study participants were contacted while attending community events such as free medical clinics and invited to be interviewed regarding their knowledge, attitudes, and perceptions of Zika virus using the World Health Organization's Zika survey tool. RESULTS: Of the 75 Dominicans that participated, 33% did not know who could become infected with Zika. In addition, only 40% of respondents were able to identify mosquitoes or sexual transmission as the primary routes of infection though 51% of respondents thought that Zika was an important issue in their community. CONCLUSIONS: This study found that general knowledge regarding the basic risks and transmission of Zika were not well understood among a sample of rural Dominicans. Our findings highlight disparities in knowledge and perception of risk from Zika in rural areas compared to previous studies conducted in the Dominican Republic. Education about the basic risks and transmission of Zika are critically needed in these remote populations to reduce Zika transmission.

Spatial Clusters and Non-spatial Predictors of Tick-Borne Disease Diagnosis in Indiana.

The purpose of this study was two-fold. First, we sought to identify spatial clusters of self-reported tick-borne disease (TBD) diagnosis in Indiana. Secondly, we determined the significant predictors of self-reported TBD diagnosis in a sample of Indiana residents. Study participants were selected from existing online panels maintained by Qualtrics and completed a cross-sectional survey (n = 3003). Our primary outcome of interest was self-reported TBD diagnosis (Yes/No). Cases and background population were aggregated to the county level. We used a purely spatial discrete Poisson model in SatScan® to determine significant clusters of high-risk TBD diagnosis counties. We also used X2 tests in bivariate analyses, to identify potential predictor variables for inclusion in an initial model, and backward elimination selection method to identify the final model. Two clusters of counties with significant high relative risk of self-reported TBD diagnosis in the southeast and southwest of Indiana were detected. Males in Indiana were more likely to self-report TBD diagnosis compared to females. Study participants who conducted a thorough tick check after being outdoors were significantly less likely to report TBD diagnosis compared to those who did not. Increased positive perceptions of TBD personal protective measures were associated with reduced self-reported TBD diagnosis. Older study participants were less likely to self-report TBD diagnosis compared to younger participants. The identification of two clusters of TBD diagnosis in southern Indiana is consistent with a northern spread of TBDs and suggests a need for continued surveillance of the counties in the vicinity of the observed clusters. Future studies should be designed to identify risk factors for TBD diagnosis in the affected counties of Indiana.

Associations of Slow-Wave Sleep With Prevalent and Incident Type 2 Diabetes in the Multi-Ethnic Study of Atherosclerosis.

CONTEXT: N3 sleep (i.e., slow-wave sleep), a marker of deep restorative sleep, is implicated in hormonal and blood pressure regulation and may impact cardiometabolic health. OBJECTIVE: We conducted cross-sectional and prospective analyses to test whether a higher proportion and longer duration of N3 sleep are associated with reduced type 2 diabetes risk. METHODS: A subsample of participants from the Multi-Ethnic Study of Atherosclerosis completed 1-night polysomnography at Exam 5 (2010-2013) and were prospectively followed until Exam 6 (2016-2018). We used modified Poisson regression to examine the cross-sectional associations of N3 proportion and duration with prevalent diabetes and Cox proportional hazards models to estimate risk of diabetes according to N3 measures. RESULTS: In cross-sectional analyses (n = 2026, mean age: 69 years), diabetes prevalence was 28% (n = 572). Compared with the first quartile (Q1) of the N3 proportion (<2.0%), participants in Q4 (≥15.4%) were 29% (95% CI 0.58, 0.87) less likely to have prevalent diabetes (P trend = .0016). The association attenuated after adjustment for demographics, lifestyles, and sleep-related factors (P trend = .3322). In prospective analyses of 1251 participants and 129 incident cases over 6346 person-years of follow-up, a curvilinear relationship was observed between N3 proportion and incident diabetes risk. In the fully adjusted model, the hazard ratio (95% CI) of developing diabetes vs Q1 was 0.47 (0.26, 0.87) for Q2, 0.34 (0.15, 0.77) for Q3, and 0.32 (0.10, 0.97) for Q4 (P nonlinearity = .0213). The results were similar for N3 duration. CONCLUSION: Higher N3 proportion and longer N3 duration were prospectively associated with lower type 2 diabetes risk in a nonlinear fashion among older American adults.

Exploring enablers and barriers to implementing the Transparency and Openness Promotion Guidelines: a theory-based survey of journal editors.

The Transparency and Openness Promotion (TOP) Guidelines provide a framework to help journals develop open science policies. Theories of behaviour change can guide understanding of why journals do (not) implement open science policies and the development of interventions to improve these policies. In this study, we used the Theoretical Domains Framework to survey 88 journal editors on their capability, opportunity and motivation to implement TOP. Likert-scale questions assessed editor support for TOP, and enablers and barriers to implementing TOP. A qualitative question asked editors to provide reflections on their ratings. Most participating editors supported adopting TOP at their journal (71%) and perceived other editors in their discipline to support adopting TOP (57%). Most editors (93%) agreed their roles include maintaining policies that reflect current best practices. However, most editors (74%) did not see implementing TOP as a high priority compared with other editorial responsibilities. Qualitative responses expressed structural barriers to implementing TOP (e.g. lack of time, resources and authority to implement changes) and varying support for TOP depending on study type, open science standard, and level of implementation. We discuss how these findings could inform the development of theoretically guided interventions to increase open science policies, procedures and practices.

Development and validation of a model for measuring alcohol consumption from transdermal alcohol content data among college students.

BACKGROUND AND AIMS: Transdermal alcohol content (TAC) data collected by wearable alcohol monitors could potentially contribute to alcohol research, but raw data from the devices are challenging to interpret. We aimed to develop and validate a model using TAC data to detect alcohol drinking. DESIGN: We used a model development and validation study design. SETTING: Indiana, USA PARTICIPANTS: In March to April 2021, we enrolled 84 college students who reported drinking at least once a week (median age = 20 years, 73% white, 70% female). We observed participants' alcohol drinking behavior for 1 week. MEASUREMENTS: Participants wore BACtrack Skyn monitors (TAC data), provided self-reported drinking start times in real time (smartphone app) and completed daily surveys about their prior day of drinking. We developed a model using signal filtering, peak detection algorithm, regression and hyperparameter optimization. The input was TAC and outputs were alcohol drinking frequency, start time and magnitude. We validated the model using daily surveys (internal validation) and data collected from college students in 2019 (external validation). FINDINGS: Participants (N = 84) self-reported 213 drinking events. Monitors collected 10 915 hours of TAC. In internal validation, the model had a sensitivity of 70.9% (95% CI = 64.1%-77.0%) and a specificity of 73.9% (68.9%-78.5%) in detecting drinking events. The median absolute time difference between self-reported and model-detected drinking start times was 59 min. Mean absolute error (MAE) for the reported and detected number of drinks was 2.8 drinks. In an exploratory external validation among five participants, number of drinking events, sensitivity, specificity, median time difference and MAE were 15%, 67%, 100%, 45 minutes and 0.9 drinks, respectively. Our model's output was correlated with breath alcohol concentration data (Spearman's correlation [95% CI] = 0.88 [0.77, 0.94]). CONCLUSION: This study, the largest of its kind to date, developed and validated a model for detecting alcohol drinking using transdermal alcohol content data collected with a new generation of alcohol monitors. The model and its source code are available as Supporting Information (https://osf.io/xngbk).

Wearable alcohol monitors for alcohol use data collection among college students: Feasibility and acceptability.

OBJECTIVE: We assessed the feasibility and acceptability of using BACtrack Skyn wearable alcohol monitors for alcohol research in a college student population. METHODS: We enrolled n = 5 (Sample 1) and n = 84 (Sample 2) Indiana University undergraduate students to wear BACtrack Skyn devices continuously over a 5-day to 7-day study period. We assessed feasibility in both samples by calculating compliance with study procedures, and by analyzing amount and distributions of device output [e.g., transdermal alcohol content (TAC), temperature, motion]. In Sample 1, we assessed feasibility and acceptability with the Feasibility of Intervention Measure (FIM) scale and the Acceptability of Intervention Measure (AIM) scale. RESULTS: All participants were able to successfully use the alcohol monitors, producing a total of 11,504 h of TAC data. TAC data were produced on 567 days of the 602 total possible days of data collection. The distribution of the TAC data showed between-person variation, as would be expected with between-person differences in drinking patterns. Temperature and motion data were also produced as expected. Sample 1 participants (n = 5) reported high feasibility and acceptability of the wearable alcohol monitors in survey responses with a mean FIM score of 4.3 (of 5.0 possible score) and mean AIM score of 4.3 (of 5.0 possible score). CONCLUSIONS: The high feasibility and acceptability we observed underscore the promise of using BACtrack Skyn wearable alcohol monitors to improve our understanding of alcohol consumption among college students, a population at particularly high risk for alcohol-related harms.

Relationship between high-risk alcohol consumption and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroconversion: a prospective sero-epidemiological cohort study among American college students.

AIMS: To estimate the associations between high-risk alcohol consumption and (1) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroconversion, (2) self-reported new SARS-CoV-2 infection and (3) symptomatic COVID-19. DESIGN: Prospective cohort study. SETTING: Indiana University Bloomington (IUB), IN, USA. PARTICIPANTS: A total of 1027 IUB undergraduate students (64% female), aged 18 years or older, residing in Monroe County, Indiana, seronegative for SARS-CoV-2 at study baseline. MEASUREMENTS: Primary exposure was high-risk alcohol consumption measured with an Alcohol Use Disorders Identification Test (AUDIT) questionnaire score of 8 or more. Primary outcome was SARS-CoV-2 seroconversion since baseline, assessed with two SARS-CoV-2 antibody tests, at baseline (September 2020) and end-line (November 2020). Secondary outcomes were (a) self-reported new SARS-CoV-2 infection at the study end-line and (b) self-reported symptomatic COVID-19 at baseline. FINDINGS: Prevalence of high-risk alcohol consumption was 32 %. In models adjusted for demographics, students with high-risk alcohol consumption status had 2.44 [95% confidence interval (CI) = 1.35, 4.25] times the risk of SARS-CoV-2 seroconversion and 1.84 (95% CI = 1.04, 3.28) times the risk of self-reporting a positive SARS-CoV-2 infection, compared with students with no such risk. We did not identify any association between high-risk alcohol consumption and symptomatic COVID-19 (prevalence ratio = 1.17, 95% CI = 0.93, 1.47). Findings from sensitivity analyses corroborated these results and suggested potential for a dose-response relationship. CONCLUSIONS: Among American college students, high-risk alcohol consumption appears to be associated with higher risk for severe acute respiratory syndrome coronavirus 2 seroconversion/infection.