Literature DB >> 10351850

Psychosocial and demographic correlates of television viewing.

C D Williams1, J F Sallis, K J Calfas, R Burke.   

Abstract

PURPOSE: The present study was grounded in the notion that previously identified physical activity determinants were associated in reverse with television viewing. Identifying demographic and psychosocial correlates and other potential determinants of television viewing may allow for the development and conceptualization of models and interventions to reduce sedentary behavior.
DESIGN: Cross-sectional data from self-report measures were analyzed using multiple hierarchical regression.
SETTING: Data were collected from 1995 to 1996 on seniors attending a large public university in southern California. SAMPLE: Subjects were 321 female and 255 male university seniors attending a public university in southern California. The sample's ethnic distribution was 53.8% European-American, 16.3% Latino, 16.6% Asian/Pacific Islander, 16.1% African-American, and 4.3% other. MEASURES: Typical television viewing practices on weekdays and weekends were assessed using self-report items. Physical activity determinants were assessed using self-report measures derived from social cognitive theory and the transtheoretical model of behavior change.
RESULTS: The variables explaining a significant amount of variance after controlling for ethnicity and employment status in females were barriers to physical activity (p < .05), body image dissatisfaction (p < .01), and processes of change (p < .02). The entire model for females captured 16% of the variance, with the psychosocial variables accounting for 8% of the variance. The significant variables in the male model were quality of life (p < .01) and grade point average (p < .03). The full model accounted for 15% of the variance, with nondemographic variables accounting for 5% of the variance in television viewing.
CONCLUSIONS: Relationships between television viewing and potential determinants were found. However, additional variables that may influence the amount of television viewing need to be conceptualized and investigated.

Entities:  

Mesh:

Year:  1999        PMID: 10351850     DOI: 10.4278/0890-1171-13.4.207

Source DB:  PubMed          Journal:  Am J Health Promot        ISSN: 0890-1171


  8 in total

1.  Television viewing and pedometer-determined physical activity among multiethnic residents of low-income housing.

Authors:  Gary G Bennett; Kathleen Y Wolin; K Viswanath; Sandy Askew; Elaine Puleo; Karen M Emmons
Journal:  Am J Public Health       Date:  2006-07-27       Impact factor: 9.308

2.  Associations between Screen-Based Activity, Spiritual Well-Being, and Life Satisfaction among Adolescents.

Authors:  Sunwoo Lee; Ivo Jirásek
Journal:  J Relig Health       Date:  2019-06

3.  Correlates of extended sitting time in older adults: an exploratory cross-sectional analysis of the Canadian Community Health Survey Healthy Aging Cycle.

Authors:  Shilpa Dogra; Liza Stathokostas
Journal:  Int J Public Health       Date:  2014-01-29       Impact factor: 3.380

4.  Correlates of socio-economic inequalities in women's television viewing: a study of intrapersonal, social and environmental mediators.

Authors:  Megan Teychenne; Kylie Ball; Jo Salmon
Journal:  Int J Behav Nutr Phys Act       Date:  2012-01-20       Impact factor: 6.457

5.  Physical activity and sedentary behaviours among rural adults in Suixi, China: a cross-sectional study.

Authors:  Ding Ding; James F Sallis; Melbourne F Hovell; Jianzhong Du; Miao Zheng; Haiying He; Neville Owen
Journal:  Int J Behav Nutr Phys Act       Date:  2011-04-26       Impact factor: 6.457

6.  Socio-demographic, psychosocial and home-environmental attributes associated with adults' domestic screen time.

Authors:  Delfien Van Dyck; Greet Cardon; Benedicte Deforche; Neville Owen; Katrien De Cocker; Katrien Wijndaele; Ilse De Bourdeaudhuij
Journal:  BMC Public Health       Date:  2011-08-25       Impact factor: 3.295

7.  Descriptive study of sedentary behaviours in 35,444 French working adults: cross-sectional findings from the ACTI-Cités study.

Authors:  Madina Saidj; Mehdi Menai; Hélène Charreire; Christiane Weber; Christophe Enaux; Mette Aadahl; Emmanuelle Kesse-Guyot; Serge Hercberg; Chantal Simon; Jean-Michel Oppert
Journal:  BMC Public Health       Date:  2015-04-14       Impact factor: 3.295

8.  Active children use more locations for physical activity.

Authors:  Kirsten Corder; James F Sallis; Noe C Crespo; John P Elder
Journal:  Health Place       Date:  2011-04-29       Impact factor: 4.078

  8 in total

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