The validity of self-rated health as a measure of health status among young military personnel: evidence from a cross-sectional survey

Abstract Background Single item questions about self ratings of overall health status are widely used in both military and civilian surveys. Limited information is available to date that examines what relationships exist between self-rated health, health status and health related behaviors among relatively young, healthy individuals. Methods The current study uses the population of active duty United States Air Force recruits (N = 31,108). Participants completed surveys that asked about health behaviors and health states and were rated their health on a continuum from poor to excellent. Results Ratings of health were consistently lower for those who used tobacco (F = 241.7, p < .001), reported binge drinking (F = 69.0, p < .001), reported drinking and driving (F = 19.4, p < .001), reported taking health risks (F = 109.4, p < .001), were depressed (F = 256.1, p < .001) and were overweight (F = 39.5, p < .001). Conclusion Given the consistent relationship between self-rated overall health and factors important to military health and fitness, self-rated health appears to be a valid measure of health status among young military troops.Peer Reviewe

Evaluating Active U: an Internet-mediated physical activity program.

Background: Engaging in regular physical activity can be challenging, particularly during the winter months. To promote physical activity at the University of Michigan during the winter months, an eight-week Internet-mediated program (Active U) was developed providing participants with an online physical activity log, goal setting, motivational emails, and optional team participation and competition. Methods: This study is a program evaluation of Active U. Approximately 47,000 faculty, staff, and graduate students were invited to participate in the online Active U intervention in the winter of 2007. Participants were assigned a physical activity goal and were asked to record each physical activity episode into the activity log for eight weeks. Statistics for program reach, effectiveness, adoption, and implementation were calculated using the Re-Aim framework. Multilevel regression analyses were used to assess the decline in rates of data entry and goal attainment during the program, to assess the likelihood of joining a team by demographic characteristics, to test the association between various predictors and the number of weeks an individual met his or her goal, and to analyze server load. Results: Overall, 7,483 individuals registered with the Active U website (≈16% of eligible), and 79% participated in the program by logging valid data at least once. Staff members, older participants, and those with a BMI < 25 were more likely to meet their weekly physical activity goals, and average rate of meeting goals was higher among participants who joined a competitive team compared to those who participated individually (IRR = 1.28, P < .001). Conclusion: Internet-mediated physical activity interventions that focus on physical activity logging and goal setting while incorporating team competition may help a significant percentage of the target population maintain their physical activity during the winter months

A Cluster Randomized Controlled Trial for a Multi-Level, Clinic-Based Smoking Cessation Program with Women in Appalachian Communities: Study Protocol for the Break Free Program

BACKGROUND: The cervical cancer burden is high among women living in Appalachia. Cigarette smoking, a cervical cancer risk factor, is also highly prevalent in this population. This project aims to increase smoking cessation among women living in Appalachia by embedding a smoking cessation program within a larger, integrated cervical cancer prevention program. METHODS: The broader program, the Take CARE study, is a multi-site research collaborative designed to address three risk factors for cervical cancer incidence and mortality: tobacco use, human papillomavirus (HPV) infection, and cervical cancer screening. Break Free is a primary care clinic-based implementation program that aims to promote smoking cessation among female smokers in Appalachia by standardizing clinical practice protocols. Break Free includes: (1) implementation of a tobacco user identification system in the Electronic Health Record, (2) clinic staff and provider training on the Ask, Advise and Refer (AAR) model, (3) provider implementation of AAR to identify and treat women who want to quit smoking within the next 6 months, (4) facilitated access to cessation phone counseling plus pharmacotherapy, and (5) the bundling of Break Free tobacco cessation with HPV vaccination and cervical cancer screening interventions in an integrated approach to cervical cancer prevention. The study spans 35 Appalachian health clinics across 10 healthcare systems. We aim to enroll 51 adult female smokers per health system (total N = 510). Baseline and follow-up data will be obtained from participant (provider and patient) surveys. The primary outcome is self-reported 12-month point prevalence abstinence among enrolled patients. All randomized patients are asked to complete follow-up surveys, regardless of whether they participated in tobacco treatment. Data analysis of the primary aims will follow intent-to-treat methodology. Secondary outcomes will assess program implementation and cost effectiveness. DISCUSSION: Addressing high tobacco use rates is critical for reducing cervical cancer morbidity and mortality among women living in Appalachia. This study evaluates the implementation and effectiveness of a smoking cessation program in increasing smoking cessation among female smokers. If results demonstrate effectiveness and sustainability, implementation of this program into other health care clinics could reduce both rates of smoking and cervical cancer. Trial registration NCT04340531 (April 9, 2020)

Trading between healthy food, alcohol and physical activity behaviours

BACKGROUND: While recent lifestyle studies have explored the role that food, alcohol or physical activity have on health and wellbeing, few have explored the interplay between these behaviours and the impact this has on a healthy lifestyle. Given the long term health advantages associated with leading healthier lifestyles, this study seeks to: 1) explore the interplay between the food, alcohol and physical activity behaviours of young adults (aged 19–26 years) in the North East of England; 2) explore the trade-offs young adults make between their food, alcohol and physical activity behaviours; and 3) recognise the positive and negative associations between the three behaviours. METHODS: Qualitative self-reported lifestyle diaries and in-depth interviews were conducted with 50 young adults from the North East of England between February and June 2008. Qualitative thematic analysis was undertaken using Nvivo QSR software, and diary coding using Windiets software. RESULTS: Young adults who attempt to achieve a ‘healthy lifestyle’ make trade-offs between the food and alcohol they consume, and the amounts of physical activity they undertake. There are negative reasons and positive consequences associated with these trade-offs. Young adults recognise the consequences of their behaviours and as a result are prepared to undertake healthy behaviours to compensate for unhealthy behaviours. They prefer certain strategies to promote healthier behaviours over others, in particular those that relate to personalised advice and support, more affordable ways to be healthier and easily-accessed advice from a range of media sources. CONCLUSIONS: Young adults seek to compensate unhealthy behaviours (e.g. binge drinking) with healthy behaviours (e.g. physical activity). Creative solutions may be required to tackle these trade-offs and promote a balance across the food, alcohol and physical activity behaviours of this age group. Solutions that may be effective with this age group include environmental changes (e.g. green spaces and increasing the price of alcohol) designed to encourage and facilitate young people making healthier choices and improving their access to, and lowering the price of, healthy food products. Solutions must recognise these trade-offs and in particular, the strong reluctance of young adults to alter their higher-than-recommended levels of alcohol consumption