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Behavioral Risk Factor…16
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Showing 1 to 15 of 16 results Save | Export
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Olatokunbo Osibogun; Olufemi Erinoso; Wei Li; Mohammad Ebrahimi Kalan; Zoran Bursac; Akin Osibogun – Health Education & Behavior, 2024
Objective: Adverse childhood experiences (ACEs), which refer to childhood traumatic events, have been identified as risk factors for tobacco use in adulthood. However, studies are limited on the effect of sex on the association of ACEs with e-cigarettes and dual use of e-cigarettes and cigarettes. This study explored sex differences in the…
Descriptors: Trauma, Child Development, Gender Differences, Smoking
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Jenny L. Olson; David E. Conroy; Scherezade K. Mama; Kathryn H. Schmitz – Health Education & Behavior, 2024
Healthy lifestyle behaviors can improve health-related quality of life (HRQOL) in cancer survivors; but the combination of behaviors most important for HRQOL is not known. This study investigated the patterns of lifestyle behaviors among cancer survivors and differences in HRQOL between behavioral classes. Cancer survivors (n = 2,463) were invited…
Descriptors: Health Behavior, Life Style, Quality of Life, Cancer
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Oh, Minsuk; Ylitalo, Kelly R. – American Journal of Health Education, 2023
Background: The role of physical activity (PA) in mitigating fall risk among adults with cardiovascular disease (CVD) is unclear. Purpose: We examined the associations of CVD-PA phenotypes with falls. Methods: Adults [greater than or equal to] 45 years (n = 295,282; N = 130,103,093) from the 2018 Behavioral Risk Factor Surveillance System who…
Descriptors: Heart Disorders, Physical Activity Level, Adults, Older Adults
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Stellefson, Michael; Wang, Min Qi; Balanay, Jo Anne G.; Wu, Rui – American Journal of Health Education, 2020
Background Little is known about risk factors associated with poor health among employees with COPD [chronic obstructive pulmonary disease] living in Central Appalachia. Purpose: Determine variability in health distress based on risk factors, including race and income, among employees with COPD from Central Appalachian U.S. States. Methods:…
Descriptors: Risk, Adults, Chronic Illness, Employment
Kraus, L.; Lauer, E.; Coleman, R.; Houtenville, A. – Institute on Disability, University of New Hampshire, 2018
The "2017 Disability Statistics Annual Report" presents statistics to address the following types of questions: (1) How many people with disabilities live in the United States; (2) What is the percentage of people with disabilities in different age groups; (3) What is the percentage of people with disabilities for different types of…
Descriptors: Disabilities, Statistics, Annual Reports, Demography
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Srivastav, Aditi; Davis, Rachel E.; Strompolis, Melissa; Crouch, Elizabeth; Thrasher, James F.; Spencer, Mindi – Journal of Child & Adolescent Substance Abuse, 2020
Evidence shows that adverse childhood experiences (ACEs) are a root cause of risk behaviors. Safe, stable, and nurturing relationships (SSNRs) can potentially moderate the health risks associated with ACEs. This study examines the relationships among SSNRs in childhood, ACEs, and two risk behaviors in adulthood (smoking tobacco and binge…
Descriptors: Alcohol Abuse, Smoking, Health Behavior, Child Development
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Greaney, Mary L.; Puleo, Elaine; Sprunck-Harrild, Kim; Haines, Jess; Houghton, Serena C.; Emmons, Karen M. – Health Education & Behavior, 2018
Introduction: Social support is important for behavior change, and it may be particularly important for the complexities of changing multiple risk behaviors (MRB). Research is needed to determine if participants in an MRB intervention can be encouraged to activate their social network to aid their change efforts. Methods: Healthy Directions 2, a…
Descriptors: Social Support Groups, Randomized Controlled Trials, Behavior Modification, Intervention
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Windle, Michael; Haardörfer, Regine; Getachew, Beth; Shah, Jean; Payne, Jackie; Pillai, Dina; Berg, Carla J. – Journal of American College Health, 2018
Objective: This study investigated associations between adverse childhood experiences (ACE) prior to age 18 years and multiple health behaviors (eg, cigarette and other substance use) and outcomes (eg, obesity, depression) for a large college sample. Participants: 2,969 college students from seven universities in the state of Georgia were included…
Descriptors: College Students, Early Experience, Multivariate Analysis, Student Surveys
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Kendzor, Darla E.; Reitzel, Lorraine R.; Businelle, Michael S. – Health Education & Behavior, 2015
This pilot study was conducted to explore the associations between stressors related to homelessness and modifiable health risk factors (poor diet, insufficient physical activity, and overweight/obesity) and to provide direction for future research. Participants (N = 57) were homeless adults enrolled in a smoking cessation program. Analyses were…
Descriptors: Stress Variables, Risk, Homeless People, Smoking
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Trumbo, Craig W.; Harper, Raquel – Journal of American College Health, 2013
Objective: This study provides insight into how electronic cigarettes (e-cigarettes) may affect the social normative environment for tobacco use among college students. Participants: Participants were 244 freshman and sophomore students. Methods: Students completed an online self-report survey in April 2011. Results: There is a higher acceptance…
Descriptors: Smoking, College Students, Student Attitudes, Attitude Measures
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Seo, Dong-Chul; Torabi, Mohammad R.; Chin, Ming-Kai; Lee, Chung Gun; Kim, Nayoung; Huang, Sen-Fang; Chen, Chee Keong; Mok, Magdalena Mo Ching; Wong, Patricia; Chia, Michael; Park, Bock-Hee – Health Education Journal, 2014
Objective: To identify levels of moderate-intensity physical activity (MPA) and vigorous-intensity physical activity (VPA) in a representative sample of college students in six East Asian economies and examine their relationship with weight, alcohol consumption and cigarette smoking. Design: Cross-sectional survey. Setting: College students…
Descriptors: Physical Activity Level, Body Composition, Drinking, Smoking
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Wyatt, Laura C.; Trinh-Shevrin, Chau; Islam, Nadia S.; Kwon, Simona C. – Health Education & Behavior, 2014
Although the New York City Chinese population aged =65 years increased by 50% between 2000 and 2010, the health needs of this population are poorly understood. Approximately 3,001 Chinese individuals from high-density Asian American New York City areas were included in the REACH U.S. Risk Factor Survey; 805 (26.8%) were aged =65 years and…
Descriptors: Health Behavior, Quality of Life, Gender Differences, Risk
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Jackson, Bradford E.; Suzuki, Sumihiro; Coultas, David; Singh, Karan P.; Bae, Sejong – Health Education & Behavior, 2013
Introduction: Individuals with chronic obstructive pulmonary disease (COPD) experience irreversible airflow obstruction, dyspnea, coughing, and fatigue. One of the goals of treating individuals with COPD is to improve their quality of life. The aim of this research was to evaluate the 2009 Texas Behavioral Risk Factor Surveillance System (BRFSS)…
Descriptors: Quality of Life, Risk, Diseases, Health Behavior
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Fuller-Thomson, Esme; Bejan, Raluca; Hunter, John T.; Grundland, Tamara; Brennenstuhl, Sarah – Child Abuse & Neglect: The International Journal, 2012
Objectives: This study examined the relationship between childhood sexual abuse (CSA) and myocardial infarction in men and women, while controlling for social determinants (i.e., socioeconomic status, social support, mental health) and traditional cardiovascular risk factors (i.e., age, race, obesity, smoking, physical inactivity, diabetes…
Descriptors: Child Abuse, Sexual Abuse, Heart Disorders, Socioeconomic Status
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Sa, Jaesin; Seo, Dong-Chul; Nelson, Toben F.; Lohrmann, David K. – Journal of American College Health, 2013
Objective and Participants: This study explored (1) the prevalence of cigarette smoking among South Korean international college students in the United States, (2) differences in smoking between on- and off-campus living arrangements, and (3) predictors of an increase in smoking over time in the United States Methods: An online survey was…
Descriptors: Smoking, College Students, Foreign Students, Asians
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