Wisconsin Versus Minnesota: A Border Battle for the Healthiest State

BACKGROUND

Measuring and ranking the health of counties helps raise awareness of health disparities based on where people live. Recently, there has been increasing interest in comparing the health of counties across state lines, to potentially measure the impact of local and state-level policies.

METHODS

The counties in Minnesota (n = 87) and Wisconsin (n = 72) were combined into a single 2-state region, and all 159 counties were ranked according to the County Health Rankings methods, with summary ranks for health outcomes and health factors. Multivariable regression analysis was then used to examine the potential impact of state-based programs and policies on health outcomes.

RESULTS

Minnesota was healthier overall than Wisconsin, with lower rates of premature death and better quality of life. Minnesota also performed better than Wisconsin for all 9 health behavior measures, 4 of 7 clinical care measures, 7 of 8 social and economic factors, and 3 of 5 physical environment measures. Furthermore, counties in Wisconsin were more likely to have lower (worse) ranks than counties in Minnesota for both health outcomes and health factors, as well as for the subcategories that make up these summary ranks. Regression analysis showed that Minnesota’s better health status was explained primarily by healthier behaviors and more desirable social and economic factors.

CONCLUSIONS

Minnesota’s better health outcomes are largely explained by better social, economic, and behavioral factors. These findings suggest a need for examination of policies and strategies that may be influencing the observed differences across these 2 states.

Understanding young adult physical activity, alcohol and tobacco use in community colleges and 4-year post-secondary institutions: A cross-sectional analysis of epidemiological surveillance data

Background

Young adults experience many adverse health behavior changes as they transition from adolescence into adulthood. A better understanding of the relationships between health promoting and risky health behaviors may aid in the development of health promotion interventions for various types of young adult post-secondary students. Therefore, the purpose of this study was to examine associations between alcohol and tobacco use and physical activity among 2-year and 4-year college students.

Methods

Cross-sectional analyses were conducted using 2007 survey data, collected as part of an on-going post-secondary health surveillance system in Minnesota. Students were randomly selected to participant from 14 Minnesota colleges and universities (six 2-year community and/or technical colleges, eight 4-year post-secondary institutions). The 2007 surveillance data included 9,931 respondents.

Results

The prevalence of demographic characteristics and health behaviors (e.g., physical activity, tobacco use) differed between young adults attending 2-year and 4-year post-secondary institutions; in general, those attending 2-year institutions are representative of more at-risk populations. Overall, higher levels of moderate, vigorous and strengthening physical activity were associated with higher levels of alcohol consumption and lower levels of smoking. In general, despite the disparities in the prevalence of these risk behaviors, the associations between the behaviors did not differ substantially between 2-year and 4-year post-secondary populations.

Conclusions

These findings illustrate links between leading risk behaviors. Interventions targeting multiple risk behaviors among young adults may warrant further consideration. Overall, future research is needed to support and inform young adult health promotion efforts that may be implemented in a wide array of post-secondary institutions.

Smoker self-identification versus recent smoking among college students

BACKGROUND

College students who engage in occasional or social cigarette smoking are less likely to identify themselves as smokers and to attempt to quit. This analysis aimed to determine: (1) the correlates of denying being a smoker among students reporting smoking in the past 30 days and (2) if denying this label was related to not attempting to quit smoking in the past 12 months.

METHODS

A total of 9931 students at 14 colleges completed a random sample survey in 2007.

RESULTS

Of 2255 students reporting having smoked a cigarette in the past 30 days, 50.7% responded No to Do you consider yourself a smoker. Logistic regression indicated that, after controlling for the number of smoking days in the past 30, being younger (OR=0.94, p<0.001); being male (OR=1.59, p=0.009); attending a 4-year (versus 2-year) college (OR=1.73, p=0.004); and consuming alcohol in the previous 30 days (OR=2.14, p=0.03) were correlates of denying being a smoker. Logistic regression indicated that denial was related to not attempting to quit in the past 12 months (OR=1.72, p<0.001), after controlling for the number of smoking days, age, gender, type of school, and other health factors.

CONCLUSIONS

Half of college smokers deny being smokers, particularly those who are younger, male, attending 4-year colleges, and alcohol consumers. Denying being a smoker was associated with not attempting to quit smoking. Therefore, traditional methods of ascertaining smoking status may not be valid in this population. Healthcare providers should more specifically ask students about recent smoking behavior. Further research is needed to develop interventions targeting smoking among this population.

Symptoms of cough and shortness of breath among occasional young adult smokers

INTRODUCTION

The perception of negative health consequences is a common motive for quitting smoking, but specific information on the immediate health effects of occasional smoking among young adults is limited.

METHOD

To examine the relationship between cigarette use and symptoms of (a) cough or sore throat and (b) shortness of breath or fatigue after regular activities among young adults, we performed online health screening of a random sample of 25,000 college undergraduates. The screening survey assessed demographic characteristics, smoking and related health behaviors, and respiratory symptoms in the previous 30 days.

RESULTS

The response rate was 26% (6,492/25,000). Among individuals reporting no smoking in the prior 30 days and smoking on 1-4, 5-10, 11-20, or 21-30 days, the prevalence of one or more days of cough/sore throat increased from 62.5% to 68.3%, 72.0%, 71.4%, and 73.7%, respectively (p < .001). Similarly, the prevalence of shortness of breath/fatigue increased from 42.7% to 47.1%, 56.2%, 59.5%, and 64.6%, respectively (p < .001). After controlling for demographics, other important health behaviors (e.g., days consuming alcohol and getting adequate sleep), and environmental tobacco smoke (ETS) exposure, reporting symptoms of cough/sore throat was associated with smoking on at least 21 days, whereas shortness of breath/fatigue was associated with smoking on 5 or more days. Among those reporting symptoms, increased number of days with respiratory symptoms was associated with smoking on most days as well as ETS exposure.

DISCUSSION

In conclusion, this cross-sectional study found that occasional smoking and ETS exposure were associated with an increase in the rate of respiratory symptoms (cough/sore throat and shortness of breath/fatigue) among young adults.

Burden of influenza-like illness and effectiveness of influenza vaccination among working adults aged 50-64 years

BACKGROUND

Uncertainties regarding influenza disease impact and benefits of vaccination may contribute to low vaccination rates among adults aged 50-64 years.

METHODS

This prospective cohort study assessed the burden of influenza-like illness (ILI) among working adults aged 50-64 years and the effectiveness of influenza vaccination in reducing the rate of ILI and productivity losses. Employees of the University of Minnesota (Minneapolis) were invited via e-mail to participate in the study during October 2006. The study data were collected using internet-based surveys at baseline (October 2006) and during the follow-up period (from November 2006 through April 2007). Months included in the 2006-2007 influenza season were identified retrospectively from Minnesota Department of Health surveillance data. Vaccine effectiveness for reducing the rate of ILI, ILI-associated health care use, the number of days of illness, work loss, and reduced on-the-job productivity during the influenza season were assessed using multivariable regression models after controlling for important confounders.

RESULTS

Four hundred ninety-seven persons were included in the study, 85 (17.1%) of whom experienced an ILI. Among unvaccinated participants, ILI was responsible for 45% of all days of illness during the influenza season, 39% of all illness-related work days lost, and 49% of all days with illness-related reduced on-the-job productivity. In the multivariable regression analyses, vaccination was associated with a significant reduction in the rate of ILI (adjusted odds ratio, 0.48; 95% confidence interval, 0.27-0.86) and fewer days of illness, absenteeism, and impaired on-the-job performance.

CONCLUSION

ILIs were common among our study participants, accounting for a large portion of illness, work loss, and impaired work performance during the influenza season. Vaccination was associated with substantial health and productivity benefits. Vaccine delivery should be improved for this high-priority group.

The role of peer e-mail support as part of a college smoking-cessation website

BACKGROUND

Helping young smokers to quit early in life substantially reduces the risk of later morbidity and mortality due to tobacco use. The RealU study demonstrated the efficacy of a smoking-cessation website for college students that incorporated both individually tailored feedback and peer e-mail support. The relationship between peer e-mail support and cessation outcomes among intervention participants is examined here.

METHODS

This study was conducted at the University of Minnesota Twin Cities from Fall 2004 through Spring 2005. During the intervention period, peer-support students (E-pals) wrote weekly e-mails to intervention group participants (n=257) encouraging healthy behaviors including smoking abstinence. Ten survey items assessed perceived E-pal supportiveness. The number of e-mails replies sent by the participants to their E-pal was tracked as a measure of e-mail engagement. The primary outcome was self-reported 30-day abstinence at the end of the intervention period.

RESULTS

Over the course of the intervention, participants sent an average of 4.6 (SD=3.6) e-mails to their E-pals. Perceived E-pal support was significantly correlated with e-mail engagement (p<0.001). At Week 30, 40.5% of individuals in the RealU intervention group (104/257) reported not smoking any cigarettes in the prior 30 days. Bivariate analyses indicated that 30-day abstinence was related to both perceived support from the E-pal (p<0.001) and e-mail engagement (p<0.001). Multivariate analyses indicated that after controlling for age and baseline-level smoking, e-mail engagement remained a significant predictor of 30-day abstinence (p<0.001).

CONCLUSIONS

Greater peer engagement via e-mail was associated with increased smoking abstinence and reduced frequency of smoking. These findings suggest that online peer support may be an important strategy when delivering Internet-assisted cessation programs to young adults.

Predictors of meningococcal vaccination among university students

Invasive disease secondary to Neisseria meningitidis is a rare but devastating illness among university students. The Advisory Committee on Immunization Practices recommends educating college freshmen about meningococcal disease and vaccinating all college freshmen who live in residence halls. We conducted this survey to gain a better understanding of current immunization rates and factors associated with vaccination.

Burden of upper respiratory illnesses among college and university students: 2002–2003 and 2003–2004 cohorts

Upper respiratory illnesses, including colds and influenza-like illnesses, are common among college and university students. We have established an ongoing, serial cohort study to assess the occurrences of these illnesses among college and university students as well as the impact of these illnesses on overall health, school and work performance, and health care use. In this paper we report on the first 2 years of this study (2002-2003 and 2003-2004). For each year, more than 4000 students responded to the e-mail invitations to participate, and they provided more than 3000 person-seasons of follow-up information during the monthly surveys conducted November-April. In both years, colds and influenza-like illnesses were common and associated with significant numbers of bed days, reduced activity days, school and work loss, impaired school performance, and increased health care utilization. Efforts to prevent upper respiratory illnesses among college and university students could improve their health and reduce health care utilization during the winter months.

Colds and Influenza-Like Illnesses in University Students: Impact on Health, Academic and Work Performance, and Health Care Use

BACKGROUND

Upper respiratory tract illnesses (URIs) are a major cause of morbidity among adults, with substantial direct and indirect costs to society, but their impact among university students has not been well described. We sought to assess the impact of URIs (colds and influenza-like illnesses [ILIs]) on the health, academic and work performance, and health care use of university students.

METHODS

This was a cohort study of college students at the University of Minnesota, Twin Cities campus (Minneapolis-St. Paul), who were recruited during October 2002 and followed up from November 2002 through April 2003. All 42,000 registered students were invited via e-mail to participate. Baseline information was obtained in October 2002. Monthly follow-up information about colds or ILIs was obtained for the period of November 2002 through April 2003. Data were collected by use of Internet-based questionnaires.

RESULTS

Of 4919 volunteers, 3249 completed all follow-up surveys. The mean age was 22.7 years; 68% of the volunteers were female. Ninety-one percent had > or = 1 URI (83% had > or = 1 cold, and 36.7% had > or = 1 ILI). These URIs caused 6023 bed-days, 4263 missed school days, 3175 missed work days, and 45,219 days of illness. Of the cohort, 22.2% had > or = 1 health care visit, and 15.8% used antibiotics to treat a URI; 27.8% did poorly on a test and 46.3% did poorly on a class assignment. ILIs versus colds had a much greater impact on all parameters (e.g., general health level was 55%-60% lower with ILI vs. no URI and 33%-39% lower for colds vs. no URI; P < .001 for each).

CONCLUSION

Colds and ILIs were common and associated with substantial morbidity in university students. Enhanced efforts to prevent and control URIs, especially influenza vaccination, could improve the health and well-being of the 17 million college and university students in this country.

Lead levels in high-risk and low-risk young children in the Minneapolis-St Paul metropolitan area

OBJECTIVES

To determine distribution of lead levels among children in a low-risk area; to validate a prescreening questionnaire; and to determine if universal lead screening is necessary in children in this area.

DESIGN

Blood lead levels and questionnaires were obtained on eligible patients. Data were analyzed using stepwise regression analysis.

SETTING

Community clinics and a health maintenance organization (HMO) in the Minneapolis-St Paul metropolitan area.

PATIENTS

A total of 9603 children at well-child visits, age 6 months to 6 years at community clinics, and 6 months to 3 years at the HMO.

OUTCOME MEASURES

Whole blood lead levels (WBLs) and questionnaires.

RESULTS

The total sample rate of WBLs at >/=10 microg/dL was 12%, at >/=15 microg/dL was 31/2%, and at >/=20 microg/dL was 1.2%. At both 10 microg/dL and 15 microg/dL, the non-HMO group was at higher risk. For both groups, risk factors included living in the central cities, and living in housing built before 1950. For the non-HMO group a history of the child eating paint chips, or the child or a sibling having previous lead poisoning were also risk factors.

CONCLUSIONS

Not all children need lead screening. Children living in the central cities, or with the risk factors of living in housing built before 1950 or a previous history of lead poisoning should be screened.