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Raju Kanukula; Joanne E. McKenzie; Lisa Bero; Zhaoli Dai; Sally McDonald; Cynthia M. Kroeger; Elizabeth Korevaar; Andrew Forbes; Matthew J. Page – Research Synthesis Methods, 2024
We aimed to explore, in a sample of systematic reviews (SRs) with meta-analyses of the association between food/diet and health-related outcomes, whether systematic reviewers selectively included study effect estimates in meta-analyses when multiple effect estimates were available. We randomly selected SRs of food/diet and health-related outcomes…
Descriptors: Meta Analysis, Intervention, Comparative Analysis, Food
Ching-Ling Lin; Yao-Tsung Chang; Li-Chi Huang; Ruey-Yu Chen; Shwu-Huey Yang – Health Education & Behavior, 2025
This study aimed to look into the effectiveness of a 6-month health coaching intervention on kidney function in treating patients with type 2 diabetes and early-stage chronic kidney disease (CKD). It was conducted via a two-armed, randomized-controlled trial involving 92 diabetic patients who were regularly followed under the shared care system at…
Descriptors: Intervention, Coaching (Performance), Diabetes, Patients
R. Jebai; T. Asfar; R. Nakkash; S. Chehab; M. Schmidt; W. Wu; Z. Bursac; W. Maziak – Health Education Research, 2023
This study compares the impact of pictorial health warning labels (HWLs) and their placements on waterpipe parts (device, tobacco and charcoal packages) on health communication outcomes between waterpipe smokers and nonsmokers in Lebanon. An online randomized crossover experimental study was conducted among young adults (n = 403, August 2021) who…
Descriptors: Smoking, Health Behavior, Comparative Analysis, Merchandise Information
Olanipekun, Oluwaseun L.; Zhao, JuLong; Wang, Rongdong; A. Sedory, Stephen; Singh, Sarjinder – Sociological Methods & Research, 2023
In carrying out surveys involving sensitive characteristics, randomized response models have been considered among the best techniques since they provide the maximum privacy protection to the respondents and procure honest responses. Over the years, researchers have carried out studies on the estimation of proportions of the population possessing…
Descriptors: Correlation, Smoking, Thinking Skills, Health Behavior
Johanna Nyman; Sanna Salanterä; Miko Pasanen; Heidi Parisod – Health Education & Behavior, 2024
Smoking poses a significant threat to adolescent health because of its immediate and long-term detrimental health effects. Smoking refusal self-efficacy predicts smoking behavior in adolescence. In adolescents' health education, digital interventions are potential tools to support smoking refusal self-efficacy. The aim of this two-arm cluster…
Descriptors: Smoking, Self Efficacy, Health Behavior, Intervention
Hagen, Bridget E. – ProQuest LLC, 2023
Rates of overweight and obesity have reached epidemic proportions in the United States with 42% of Americans being classified as obese (BMI >30) and 73% as overweight according to the CDC. The prevalence of obesity has steadily increased over the years and is not only a chronic disease in itself but is also a risk factor for countless others…
Descriptors: Body Weight, Behavior Change, Intervention, Health Behavior
Elling, J. M.; Crutzen, R.; Talhout, R.; de Vries, H. – Health Education Research, 2023
The effectiveness of e-cigarettes in smoking cessation is under debate. Informing smokers who are motivated to quit smoking about e-cigarettes may help them to make an informed decision about their use for smoking cessation, which, however, may also lead to unintended effects such as less quitting. This experimental study assessed the influence of…
Descriptors: Smoking, Health Behavior, Electronic Equipment, Intervention
Goswami, Rekha; Garner, Shelby L.; George, Carol Elizabeth – Health Education Journal, 2023
Objective: Mobile health (mHealth) technologies are a rapidly evolving field in India and are increasingly being used to address noncommunicable diseases, such as type 2 diabetes mellitus (T2DM). However, few studies have addressed user perceptions of T2DM mHealth applications (apps) in India. The purpose of this study was to determine the…
Descriptors: Diabetes, Telecommunications, Handheld Devices, Health Services
Amanda J. Aubel; Garen J. Wintemute; Aaron B. Shev; Nicole Kravitz-Wirtz – Health Education & Behavior, 2025
Optimism bias is common across health risk assessments, including firearm injury risk, and can have behavioral consequences. Using data from the 2018 California Safety and Wellbeing Survey, we examine whether optimism bias influences firearm injury prevention practices and policy support by comparing the characteristics, behaviors, and opinions of…
Descriptors: Prevention, Injuries, Weapons, Safety
Gantiva, Carlos; Correal-Grijalba, Nicolás; Murcia-Vaca, Laura – Health Education Journal, 2022
Objective: The key to controlling tobacco use lies in preventing new smokers. Graphic health warnings and plain packaging are policy interventions to discourage cigarette consumption. This study examined the effect of the warning message frame (gain vs loss) and cigarette packaging (branded vs plain) in non-smokers. Methods: Young adult…
Descriptors: Smoking, Merchandise Information, Health Behavior, Prevention
Nelsen, Sarah K.; Kayaalp, Alper; Page, Kyle J. – Journal of American College Health, 2023
The study examined the relationship between perfectionism (categorized by adaptive, maladaptive, and non-perfectionist clusters), substance use (i.e., drinking and smoking), and mental health in a large sample of college student (N = 841; M = 19.6 years of age) in a time-lagged design. Students were classified using a two-step cluster analysis…
Descriptors: Personality Problems, Undergraduate Students, Drinking, Comparative Analysis
Abby Marshall; Grace Mackson; Farnaz Kaighobadi; Neal D. Hoffman; Adam Ciarleglio; Theo G. M. Sandfort – Health Education & Behavior, 2025
This study explored sexual orientation and gender identity as predictors of health literacy among adolescents attending New York City (NYC) public high schools. Many studies have demonstrated disparities in sexual health among sexual and gender minority (SGM) adolescents. However, little is known about their health literacy. Health literacy,…
Descriptors: Health, Knowledge Level, Health Behavior, LGBTQ People
Gülpinar Aslan; Deniz Didem Savci Magol; Ayse Berivan Savci Bakan – Health Education Journal, 2024
Background: The most effective approach to food allergy management is to avoid consuming the specific allergens that trigger an allergic reaction. It is crucial to make school environments prepared for the potential of food allergic reactions, including anaphylaxis, which is a rare but documented outcome. The high prevalence of anaphylactic…
Descriptors: Food, Allergy, Self Efficacy, Disease Control
Bryan, Leah N.; Smith-Grant, Jennifer; Brener, Nancy; Kilmer, Greta; Lo, Annie; Queen, Barbara; Underwood, J. Michael – Journal of School Health, 2022
Background: Since the inception of the Youth Risk Behavior Surveillance System in 1991, all surveys have been conducted in schools, using paper and pencil instruments (PAPI). For the 2019 YRBSS, sites were offered the opportunity to conduct their surveys using electronic data collection. This study aimed to determine whether differences in select…
Descriptors: Risk, Health Behavior, Incidence, Adolescents
Hassan Barekati; Sakineh Rakhshanderou; Yadollah Mehrabi; Leili Mazar; Mohtasham Ghaffari – Health Education Research, 2025
Nosocomial infections are among the major challenges faced by health systems worldwide, with hand hygiene being one of the simplest and most important preventive measures. This study aimed to assess the effectiveness of an educational intervention based on the Theory of Planned Behaviour (TPB) in improving hand hygiene behaviour among hospital…
Descriptors: Hygiene, Health Promotion, Health Behavior, Intervention