The Experts below are selected from a list of 78 Experts worldwide ranked by ideXlab platform
Carol Byrdbredbenner - One of the best experts on this subject based on the ideXlab platform.
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Generational differences a comparison of weight related cognitions and behaviors of generation x and millennial mothers of preschool children
International Journal of Environmental Research and Public Health, 2019Co-Authors: Ruiying Xiong, Kim Spaccarotella, Virginia Quick, Carol ByrdbredbennerAbstract:A ‘generation’ is an identifiable Group sharing birth years and significant life events at critical developmental ages. There is a paucity of literature examining how parental cognitions and lifestyle behaviors differ by generation and whether Generational differences are substantial enough to warrant consideration during the development of health interventions. This study compared Generational differences in weight-related cognitions and lifestyle behaviors of mothers of young children who were categorized as Generation X (born 1965–1981, n = 158) and Generation Y (aka Millennials; born 1982–1999, n = 162). Survey results indicated that Generation X had significantly higher family affluence; thus, this was controlled in subsequent analyses. Analysis of covariance indicated that Millennials had more positive expectations about the benefits of engaging in healthy eating and physical activity than comparators, but not significantly so. Millennial mothers placed significantly higher value on physical activity for themselves than Generation X mothers, but both generations were neutral on the value of personal physical activity. No Generational differences were noted in self-efficacy of mothers for promoting childhood obesity-prevention practices to children and self-efficacy for personally engaging in weight-protective behaviors. Millennial mothers had significantly more family meals/week, however generations did not differ on the value placed on family meals, where family meals were eaten, or whether media devices were used at mealtime. Few differences were noted between the generations for most child feeding behaviors, except that Millennials reported placing significantly less pressure on children to eat. Mothers’ modeling of weight-related behaviors as a means for children’s observational learning about healthy eating, physical activity, and sedentary behaviors did not differ by Generational Group. The eating behaviors of mothers differed little between generations. Millennial mothers allowed significantly more media devices in children’s bedrooms and personally engaged in more screen time daily than comparators. Overall, the two Generational Groups were more similar than different in weight-related cognitions as well as for personal and parenting lifestyle behaviors. The results suggest that tailoring interventions for individuals at a similar life-stage (e.g., mothers of young children) by generation may not be warranted.
Nicholas J. Beutell - One of the best experts on this subject based on the ideXlab platform.
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Generational Differences in Work-Family Conflict and Synergy
International journal of environmental research and public health, 2013Co-Authors: Nicholas J. BeutellAbstract:This paper examines differences in work-family conflict and synergy among the four Generational Groups represented in the contemporary workforce: Generation Y Generation X, Baby Boomers, and Matures using data from the 2008 National Study of the Changing Workforce (n = 3,502). Significant Generational differences were found for work-family conflict (work interfering with family and family interfering with work) but not for work-family synergy. Mental health and job pressure were the best predictors of work interfering with family conflict for each Generational Group. Work-family synergy presented a more complex picture. Work-family conflict and synergy were significantly related to job, marital, and life satisfaction. Implications and directions for future research are discussed.
Ruiying Xiong - One of the best experts on this subject based on the ideXlab platform.
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Generational differences a comparison of weight related cognitions and behaviors of generation x and millennial mothers of preschool children
International Journal of Environmental Research and Public Health, 2019Co-Authors: Ruiying Xiong, Kim Spaccarotella, Virginia Quick, Carol ByrdbredbennerAbstract:A ‘generation’ is an identifiable Group sharing birth years and significant life events at critical developmental ages. There is a paucity of literature examining how parental cognitions and lifestyle behaviors differ by generation and whether Generational differences are substantial enough to warrant consideration during the development of health interventions. This study compared Generational differences in weight-related cognitions and lifestyle behaviors of mothers of young children who were categorized as Generation X (born 1965–1981, n = 158) and Generation Y (aka Millennials; born 1982–1999, n = 162). Survey results indicated that Generation X had significantly higher family affluence; thus, this was controlled in subsequent analyses. Analysis of covariance indicated that Millennials had more positive expectations about the benefits of engaging in healthy eating and physical activity than comparators, but not significantly so. Millennial mothers placed significantly higher value on physical activity for themselves than Generation X mothers, but both generations were neutral on the value of personal physical activity. No Generational differences were noted in self-efficacy of mothers for promoting childhood obesity-prevention practices to children and self-efficacy for personally engaging in weight-protective behaviors. Millennial mothers had significantly more family meals/week, however generations did not differ on the value placed on family meals, where family meals were eaten, or whether media devices were used at mealtime. Few differences were noted between the generations for most child feeding behaviors, except that Millennials reported placing significantly less pressure on children to eat. Mothers’ modeling of weight-related behaviors as a means for children’s observational learning about healthy eating, physical activity, and sedentary behaviors did not differ by Generational Group. The eating behaviors of mothers differed little between generations. Millennial mothers allowed significantly more media devices in children’s bedrooms and personally engaged in more screen time daily than comparators. Overall, the two Generational Groups were more similar than different in weight-related cognitions as well as for personal and parenting lifestyle behaviors. The results suggest that tailoring interventions for individuals at a similar life-stage (e.g., mothers of young children) by generation may not be warranted.
Bert B Boyer - One of the best experts on this subject based on the ideXlab platform.
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age of initiation of cigarette smoking and smokeless tobacco use among western alaska native people secondary analysis of the watch study
Addictive Behaviors Reports, 2019Co-Authors: Christi A Patten, Kathryn R Koller, Christie A Flanagan, Gretchen E Day, Jason G Umans, Melissa A Austin, Scarlett E Hopkins, Bert B BoyerAbstract:Abstract Objective This study examined self-reported age of tobacco initiation (cigarette smoking and smokeless tobacco [ST] use) and explored potential sex and Generational Group influences on tobacco use onset among Alaska Native (AN) adult ever tobacco users. Methods Secondary analysis of consolidated data from the Western Alaska Tribal Collaborative for Health (WATCH) study comprised 2800 AN adult ever tobacco users (1490 women, 1310 men; mean age = 39.2 years) from two rural western Alaska regions. ST use data were limited to one region. Logistic regression was used to examine potential sex and Generational Group (age 18–29, 30–49, ≥50) effects on initiation at ≤13 years of age. Results Thirty-seven percent of the sample reported using any tobacco product by age 13 years. Initiation of any ST use by age 13 was greater than for cigarette smoking (52.7% vs. 18.2%), and women were more likely than men to report initiation of any ST use at ≤13 years (52.6% vs. 38.4%). Nearly one-third of ever smokers (31%) initiated in young adulthood (ages 18–29). For ST use, logistic regression analyses revealed significant sex differences (women more likely to initiate by 13 years of age than men) and Generational Group effects with younger and middle age Groups more likely to report initiation ≤13 years compared to the eldest participants. For smoking, no sex differences were observed but the youngest Generational Group was more likely to report initiation by age 13 compared to the eldest Group. Conclusions Earlier age of tobacco initiation is found among younger generations of AN people. Findings highlight the need to focus prevention efforts on initiation of smoking in young adulthood and uptake of ST use among girls.
Jason G Umans - One of the best experts on this subject based on the ideXlab platform.
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age of initiation of cigarette smoking and smokeless tobacco use among western alaska native people secondary analysis of the watch study
Addictive Behaviors Reports, 2019Co-Authors: Christi A Patten, Kathryn R Koller, Christie A Flanagan, Gretchen E Day, Jason G Umans, Melissa A Austin, Scarlett E Hopkins, Bert B BoyerAbstract:Abstract Objective This study examined self-reported age of tobacco initiation (cigarette smoking and smokeless tobacco [ST] use) and explored potential sex and Generational Group influences on tobacco use onset among Alaska Native (AN) adult ever tobacco users. Methods Secondary analysis of consolidated data from the Western Alaska Tribal Collaborative for Health (WATCH) study comprised 2800 AN adult ever tobacco users (1490 women, 1310 men; mean age = 39.2 years) from two rural western Alaska regions. ST use data were limited to one region. Logistic regression was used to examine potential sex and Generational Group (age 18–29, 30–49, ≥50) effects on initiation at ≤13 years of age. Results Thirty-seven percent of the sample reported using any tobacco product by age 13 years. Initiation of any ST use by age 13 was greater than for cigarette smoking (52.7% vs. 18.2%), and women were more likely than men to report initiation of any ST use at ≤13 years (52.6% vs. 38.4%). Nearly one-third of ever smokers (31%) initiated in young adulthood (ages 18–29). For ST use, logistic regression analyses revealed significant sex differences (women more likely to initiate by 13 years of age than men) and Generational Group effects with younger and middle age Groups more likely to report initiation ≤13 years compared to the eldest participants. For smoking, no sex differences were observed but the youngest Generational Group was more likely to report initiation by age 13 compared to the eldest Group. Conclusions Earlier age of tobacco initiation is found among younger generations of AN people. Findings highlight the need to focus prevention efforts on initiation of smoking in young adulthood and uptake of ST use among girls.