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Peer reviewed
Direct linkBalaji, Alexandra B.; Brener, Nancy D.; McManus, Tim – Journal of School Health, 2010
Background: To identify whether school health policies and programs vary by demographic characteristics of schools, using data from the School Health Policies and Programs Study (SHPPS) 2006. This study updates a similar study conducted with SHPPS 2000 data and assesses several additional policies and programs measured for the first time in SHPPS…
Descriptors: Private Schools, Catholics, Health Programs, White Students
Arbour-Nicitopoulos, Kelly P.; Kwan, Matthew Y. W.; Lowe, David; Taman, Sara; Faulkner, Guy E. J. – Journal of American College Health, 2010
Objective: To study actual and perceived substance use in Canadian university students and to compare these rates with US peers. Participants: Students (N = 1,203) from a large Canadian university. Methods: Participants were surveyed using items from the National College Health (NCHA) Assessment of the American College Health Association…
Descriptors: College Students, Substance Abuse, Marijuana, Cultural Differences
Li, Xiaoming; Mao, Rong; Stanton, Bonita; Zhao, Qun – Journal of Child and Family Studies, 2010
We designed this study to assess parental, behavioral, and psychological factors associated with tobacco use among Chinese adolescents. The data were collected from 995 middle school students in Nanjing, China. Both smoking experimentation and current smoking (smoking in the past 30 days) were assessed among the study sample. Psychosocial measures…
Descriptors: Smoking, Prevention, Parenting Styles, Adolescents
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
Rhodes, Darson L. – ProQuest LLC, 2009
A sample of 656 undergraduate students from multiple sections of an introductory nutrition course, a personal health course, and a physical fitness course at a large Midwestern University completed one of four surveys. Using matrix sampling, each participant completed a survey measuring one of four personal and social competence constructs; coping…
Descriptors: Undergraduate Students, Drug Use, Interpersonal Competence, Grade Point Average
Terzian, Mary; Moore, Kristin Anderson – Child Trends, 2009
Concern about physical inactivity among U.S. youth has been mounting in recent years, in light of studies suggesting that few adolescents (about one out of three) engage in recommended levels of physical activity. Although much attention has been paid to individual factors that may contribute to this problem, such as television viewing and…
Descriptors: Neighborhoods, Television Viewing, Physical Activities, Physical Activity Level
Download full textShore, Rima; Shore, Barbara – Annie E. Casey Foundation, 2009
Despite decades of research and prevention efforts, low birthweight (less than 2,500 grams, or 5 lbs., 8 ozs.) remains a major public health challenge. Preterm birth (before 37 weeks of gestation) is by far the most common reason for low birthweight (LBW), and trendlines for LBW tend to parallel those for preterm birth. Since 1990, the U.S.…
Descriptors: Body Weight, Prevention, Public Health, Premature Infants
Sun, Fei; Park, Nan Sook; Klemmack, David L.; Roff, Lucinda L.; Li, Zhihong – International Journal of Aging and Human Development, 2009
This article examined the differences between rural/urban older adults in their trajectories of activities of daily living (ADL) over a 4-year period. The sample included 2,490 community dwelling older adults who completed three waves (1998, 2000, and 2002) of the Chinese Longitudinal Healthy Longevity Survey. Among them, 63.5% were from rural…
Descriptors: Daily Living Skills, Rural Urban Differences, Physical Activities, Physical Mobility
Baillie, Lynne; Callaghan, Doris; Smith, Michelle; Bottorff, Joan; Bassett-Smith, Joan; Budgen, Claire; Federsen, Melissa – Health Education Research, 2009
The college years occur during the stage of life when many people develop permanent smoking habits, and approximately one-third go on to become addicted smokers. The 18-24 year demographic that makes up the majority of undergraduate attendees represents the earliest years that the tobacco industry now can legally attempt to lure new customers into…
Descriptors: Foreign Countries, Smoking, Geographic Location, Educational Policy
Kimber, Birgitta; Sandell, Rolf – Journal of Adolescence, 2009
The study considers the impact of a program for social and emotional learning in Swedish schools on use of drugs, volatile substances, alcohol and tobacco. The program was evaluated in an effectiveness study. Intervention students were compared longitudinally with non-intervention students using nonparametric latent class analysis to identify…
Descriptors: Intervention, Smoking, Program Effectiveness, Effect Size
Nasim, Aashir; Belgrave, Faye Z.; Corona, Rosalie; Townsend, Tiffany G. – Journal of Child & Adolescent Substance Abuse, 2009
This study sought to determine the relative contributions of individual, family, peer, and community risk and promotive factors in explaining alcohol and tobacco refusal attitudes among 227 African-American adolescents (ages 12 to 17) from urban and rural areas. Hierarchical linear regression (HLR) results revealed differences in the predictive…
Descriptors: Smoking, At Risk Persons, Adolescents, Regression (Statistics)
Raynor, Douglas A.; Levine, Heidi – Journal of American College Health, 2009
Objective: In fall 2006, the authors examined associations between the five-factor model of personality and several key health behaviors. Methods: College students (N = 583) completed the American College Health Association-National College Health Assessment and the International Personality Item Pool Big Five short-form questionnaire. Results:…
Descriptors: College Students, Health Behavior, Personality, Factor Analysis
Li, Li; Lin, Chunqing; Cao, Haijun; Lieber, Eli – American Journal of Health Behavior, 2009
Objective: To explore intergenerational health habits and compare differences between urban and rural families. Methods: A total of 2500 families with children ages 6-18 in China were surveyed regarding their health habits. Results: Urban families reported significantly greater food variety and more time exercising (for fathers and children) than…
Descriptors: Smoking, Health Behavior, Rural Urban Differences, Foreign Countries
Schleicher, Holly E.; Harris, Kari Jo; Catley, Delwyn; Nazir, Niaman – Journal of American College Health, 2009
Objective: Expectancies about nicotine's ability to alleviate negative mood states may play a role in the relationship between smoking and depression. The authors examined the role of negative affect regulation expectancies as a potential mediator of depression (history of depression and depressive symptoms) and smoking among college students.…
Descriptors: Undergraduate Students, Smoking, Depression (Psychology), Affective Behavior
Brief Report: The Theory of Planned Behaviour Applied to Physical Activity in Young People Who Smoke
Everson, Emma S.; Daley, Amanda J.; Ussher, Michael – Journal of Adolescence, 2007
It has been hypothesised that physical activity may be useful as a smoking cessation intervention for young adults. In order to inform such interventions, this study evaluated the theory of planned behaviour (TPB) for understanding physical activity behaviour in young smokers. Regular smokers aged 16-19 years (N=124), self-reported physical…
Descriptors: Intention, Young Adults, Physical Activities, Smoking
