Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 5 |
Since 2006 (last 20 years) | 9 |
Descriptor
Adults | 9 |
Older Adults | 9 |
Smoking | 9 |
Age Differences | 5 |
Diseases | 4 |
Aging (Individuals) | 3 |
Body Composition | 3 |
Correlation | 3 |
Drinking | 3 |
Educational Attainment | 3 |
Gender Differences | 3 |
More ▼ |
Source
American Journal of Health… | 3 |
Developmental Psychology | 1 |
Gerontologist | 1 |
Health Education Journal | 1 |
Institute for Social Research | 1 |
Journal of Intellectual &… | 1 |
Research Quarterly for… | 1 |
Author
Ando, Fujiko | 1 |
Arroyo, Rebecca | 1 |
Azema, Bernard | 1 |
Bachman, Jerald G. | 1 |
Bansal Travers, Maansi | 1 |
Berger, Dasa Moravec | 1 |
Buono, Serafino | 1 |
Cara, Alexandra Carmen | 1 |
Caruso, Rosalie | 1 |
Choi, Jeong-Kyun | 1 |
Diaz, Destiny | 1 |
More ▼ |
Publication Type
Reports - Research | 9 |
Journal Articles | 8 |
Numerical/Quantitative Data | 1 |
Education Level
Elementary Education | 1 |
Grade 10 | 1 |
Grade 12 | 1 |
Grade 8 | 1 |
High Schools | 1 |
Higher Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Location
California | 1 |
Japan | 1 |
New York | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Behavioral Risk Factor… | 1 |
Center for Epidemiologic… | 1 |
What Works Clearinghouse Rating
Mshigeni, Salome K.; Rittenhouse, Annie; Gwanzura, Tendai; Arroyo, Rebecca; Vaughn, Caitlin – American Journal of Health Education, 2021
Background: E-cigarette use has increased rapidly in the past decade despite studies showing their negative health outcomes. There is limited knowledge on the characteristics of users and possible interventions. Purpose: This study presents the demographic characteristics of e-cigarette users in California, propose tailored interventions, and…
Descriptors: Smoking, Electronic Equipment, Health Behavior, Public Policy
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
Kozakai, Rumi; Nishita, Yukiko; Otsuka, Rei; Ando, Fujiko; Shimokata, Hiroshi – Research Quarterly for Exercise and Sport, 2020
Physical fitness is one of the key factors in healthy aging. Although physical fitness is widely recognized to decline with age, age-related decreases in the individual dimensions of physical fitness in later life are less clear. Purpose: The purpose of the present study was to describe the age-related changes in six fitness components covering a…
Descriptors: Physical Fitness, Aging (Individuals), Older Adults, Adults
Diaz, Destiny; Fix, Brian; Caruso, Rosalie; Bansal Travers, Maansi; O'Connor, Richard J. – American Journal of Health Education, 2020
Background: Numeracy is one's ability to use numbers in context and influence's decision making and perceptions of health risk. Worry about lung cancer is an indicator of perceived risk (PR) and is related to interest in cessation and cancer screening. Purpose: The analysis sought to explore underlying relationships among worry about lung cancer,…
Descriptors: Risk, Cancer, Smoking, Health Behavior
Johnston, Lloyd D.; Miech, Richard A.; O'Malley, Patrick M.; Bachman, Jerald G.; Schulenberg, John E.; Patrick, Megan E. – Institute for Social Research, 2021
Monitoring the Future (MTF) is a long-term study of substance use and related factors among U.S. adolescents, college students, and adult high school graduates through age 60. It is conducted annually and supported by the National Institute on Drug Abuse. MTF findings identify emerging substance use problems, track substance use trends, publish…
Descriptors: National Surveys, Drug Use, College Students, High School Graduates
Hostinar, Camelia E.; Lachman, Margie E.; Mroczek, Daniel K.; Seeman, Teresa E.; Miller, Gregory E. – Developmental Psychology, 2015
We examined the joint contributions of self-reported adverse childhood experiences (ACEs) and recent life events (RLEs) to inflammation at midlife, by testing 3 competing theoretical models: stress generation, stress accumulation, and early life stress sensitization. We aimed to identify potential mediators between adversity and inflammation.…
Descriptors: Adults, Older Adults, Experience, Anxiety
Schafer, Markus H.; Ferraro, Kenneth F. – Gerontologist, 2012
Purpose: The purpose of this study was to examine whether childhood misfortune reduces the likelihood of being disease free in adulthood. Design and Methods: This article used a sample of 3,000+ American adults, aged 25-74, who were first interviewed in 1995 and reinterviewed in 2005. Logistic regression was used to estimate the odds of avoiding…
Descriptors: Obesity, Smoking, Diseases, Children
Lee, Hee Yun; Choi, Jeong-Kyun; Park, Ji Hye – Health Education Journal, 2014
Objective: To evaluate the level of cancer literacy among Korean American immigrants and to identify the most influential predictors of cancer literacy in this population. Method: Using a quota-sampling strategy, 407 Korean American immigrants were recruited in the New York metropolitan area. The study was theoretically guided by the Andersen's…
Descriptors: Korean Americans, Immigrants, Predictor Variables, Knowledge Level
Haveman, Meindert; Perry, Jonathan; Salvador-Carulla, Luis; Walsh, Patricia Noonan; Kerr, Mike; Lantman-De Valk, Henny Van Schrojenstein; Van Hove, Geert; Berger, Dasa Moravec; Azema, Bernard; Buono, Serafino; Cara, Alexandra Carmen; Germanavicius, Arunas; Linehan, Christine; Maatta, Tuomo; Tossebro, Jan; Weber, Germain – Journal of Intellectual & Developmental Disability, 2011
Background: POMONA II was a European Commission public health-funded project. The research questions in this article focus on age-specific differences relating to environmental and lifestyle factors, and the 17 medical conditions measured by the POMONA Checklist of Health Indicators (P15). Method: The P15 was completed in a cross-sectional design…
Descriptors: Public Health, Check Lists, Life Style, Mental Retardation