The Association Between Adolescent Life Satisfaction, Family Structure, Family Affluence and Gender Differences in Parent–Child Communication

2011 ◽  
Vol 106 (2) ◽  
pp. 287-305 ◽  
Author(s):  
Kate Ann Levin ◽  
Lorenza Dallago ◽  
Candace Currie
Keyword(s):  
Gender Differences ◽  
Life Satisfaction ◽  
Family Structure ◽  
Family Affluence ◽  
Parent Child Communication ◽  
Adolescent Life Satisfaction ◽  
And Gender ◽  
Parent Child

Explaining educational inequalities in adolescent life satisfaction: do health behaviour and gender matter?

2013 ◽  
Vol 59 (2) ◽  
pp. 309-317 ◽  
Author(s):  
Irene Moor ◽  
Thomas Lampert ◽  
Katharina Rathmann ◽  
Benjamin Kuntz ◽  
Petra Kolip ◽  
...  
Keyword(s):  
Life Satisfaction ◽  
Health Behaviour ◽  
Educational Inequalities ◽  
Adolescent Life Satisfaction ◽  
And Gender

Social-Ecological Correlates of Excessive TV Viewing: Difference by Race and Sex

2012 ◽  
Vol 9 (3) ◽  
pp. 449-455 ◽  
Author(s):  
Susan B. Sisson ◽  
Stephanie T. Broyles
Keyword(s):  
Family Structure ◽  
Family Meals ◽  
Poverty Level ◽  
Tv Viewing ◽  
Social Ecological ◽  
Parent Child Communication ◽  
Ecological Correlates ◽  
Race Ethnicity ◽  
American Children ◽  
Parent Child

Background:The primary and secondary purposes were to examine social-ecological correlates of excessive TV viewing (>2hr/day) in American children 1) between race/ethnic groups and 2) between boys and girls.Methods:Children (n = 48,505) aged 6 to 18 years from the 2007 National Survey of Children’s Health were included. Social-ecological correlates included individual-, family-, and community-level variables. Logistic regression analyses were used for race/ethnicity [Non-Hispanic White (NHW), Non-Hispanic Black (NHB), Hispanic, other] and sex groups (boys, girls), to determine associated correlates.Results:By race/ethnicity, 16.6%, 37.8%, and 24.5% of NHW, NHB, and Hispanic exceeded recommendations. For boys and girls, 23.7% and 18.2% viewed excessive TV. Having a TV in the bedroom and higher poverty level were associated with excessive TV in all groups. Differences by race/ethnicity were age, sex, TV in the bedroom, extracurricular activities, physical activity, adequate sleep, family structure, family meals, knowing child’s friends, parent/ child communication, and neighborhood characteristics. Differences by sex were family structure, parent/ child communication, family meals, and neighborhood elements.Conclusion:Social-ecological correlates and associated prevalence of excessive TV viewing differed across subgroups. These specific correlates can be targeted in tailored interventions.

Locus of control as a mediator of the relationship between religiosity and life satisfaction: Age, race, and gender differences

2006 ◽  
Vol 9 (3) ◽  
pp. 239-263 ◽  
Author(s):  
Katherine L. Fiori ◽  
Edna E. Brown ◽  
Kai S. Cortina ◽  
Toni C. Antonucci
Keyword(s):  
Gender Differences ◽  
Life Satisfaction ◽  
Locus Of Control ◽  
Race And Gender ◽  
And Gender ◽  
The Relationship

Influences of Age and Gender on Workers' Goals for Retirement

2002 ◽  
Vol 55 (2) ◽  
pp. 163-179 ◽  
Author(s):  
Douglas A. Hershey ◽  
Joy M. Jacobs-Lawson ◽  
Kirstan A. Neukam
Keyword(s):  
Gender Differences ◽  
Life Satisfaction ◽  
Transition Period ◽  
Critical Determinant ◽  
Age And Gender ◽  
Working Adults ◽  
Age And Gender Differences ◽  
Employment Transition ◽  
And Gender

Having clear goals for retirement is a critical determinant of life satisfaction and adjustment during the post-employment transition period. The purpose of the present study was to explore individuals' goals for retirement and determine whether age and gender differences exist among those goals. A sample of 55 working adults (aged 20–67) were asked to list their retirement goals. Items contained on respondents' lists were then classified into a taxonomy of retirement goals adapted from the work of LaPierre, Bastin, and Bouffard (1997). Both age and gender differences were identified in the concreteness of individuals' goals. Additionally, the number of retirement goals individuals hold decreased across the lifespan. Results also revealed patterns of age and gender differences across the various coding categories in the goal taxonomy. Findings are discussed in terms of the applied benefits of understanding the retirement goals of American workers.

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