Change in Diet, Physical Activity, and Body Weight in Female College Freshman

Butler, Scott M.; Black, David R.; Blue, Carolyn L.; Gretebeck, Randall J.

doi:10.5993/ajhb.28.1.3

Cited by 266 publications

(263 citation statements)

References 21 publications

(27 reference statements)

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“…The mean weight gain was reduced to 1.6 kg, but remained significantly different (Po0.01) from the experimental group. Levitsky et al 12 1.9 Anderson et al 13 1.3 Hovell et al 14 1.3 Butler et al 15 0.59 Matvienko et al 16 1.8…”

Section: Resultsmentioning

confidence: 99%

Monitoring weight daily blocks the freshman weight gain: a model for combating the epidemic of obesity

et al. 2006

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Background: The Tissue Monitoring System (TMS) is an algorithm that estimates changes in body tissue from a series of daily weight measures. It is intended to provide people with a feedback of changes in their tissue weight so they may have a basis for estimating how much they would have to change their intake or expenditure to maintain their weight at a prescribed level. We tested the effectiveness of the TMS to prevent freshmen from gaining weight during their first semester in college. Methods: In two similar but independent studies (Fall 2002(Fall , 2003, female freshmen college students were given analog bathroom scales and instructed to weigh themselves each morning immediately after rising from bed, then e-mail their weight to our staff. After 7 days, a linear function was performed on the most recent 7 days of the weight-day function for each participant. In the first study, the slope of this function was e-mailed back to the participants. In the second study, the difference between last point and the original weight was determined, using linear regression techniques, converted to calories, and the information was e-mailed back to the participants. Control participants in both studies were weighed at the beginning and the end of the semester. Results: The untreated controls gained 3.170.51 kg and 2.070.65 kg, respectively (Po0.01 for both studies), whereas weight gain of the experimental groups was 0.170.99 kg and À0.8270.56 kg, values that were not significantly different than zero. Conclusions: The TMS appears to be an effective technique to help female college freshmen resist gaining weight in an environment that is conducive to weight gain. These results suggest that the TMS may be a useful method to help curb the slow increase in the prevalence of overweight and obesity that is characteristic of all industrialized societies.

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Section: Resultsmentioning

confidence: 99%

Monitoring weight daily blocks the freshman weight gain: a model for combating the epidemic of obesity

et al. 2006

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“…Engaging in moderate and vigorous physical activity (PA) has been shown to be influenced by various life events, such as decreasing activity following marriage, declining health, the birth of the first child and transitioning from school to university or the workforce (Bell and Lee, 2006, Butler et al, 2004, Brown et al, 2009. It is conceivable that these life events may also influence ST.…”

Section: Introductionmentioning

confidence: 99%

Nine year changes in sitting time in young and mid-aged Australian women: Findings from the Australian Longitudinal Study for Women's Health

Clark

Peeters

Gomersall

et al. 2014

Preventive Medicine

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Word count abstract: 200 Word count main text: 2 769 Highlights• Over nine years sitting time (ST) decreased in young women and increased in midaged women.• Decreased ST was associated with having a baby, beginning work and decreased income in young women.• Decreased ST was associated with retirement and decreased income in mid-aged women. 2• Increased ST was associated with returning to study and job loss in young women.• Increased ST was associated with changes at work in mid-aged women. Results Against a background of complex changes there was an overall decrease in ST in young women(median change -0.48 hrs/day, interquartile range [IQR] =-2.54, 1.50) and an increase in ST in mid-aged women (median change 0.43 hrs/day; IQR =-1.29, 2.0) over nine years. In young women, returning to study and job loss were associated with increased ST, while having a baby, beginning work and decreased income were associated with decreased ST. In mid-aged women, changes at work were associated with increased ST, while retiring and decreased income were associated with decreased ST. ConclusionsST changed over nine years in young and mid-aged Australian women. The life events they experienced, particularly events related to work and family, were associated with these changes.

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“…Seven of those studies 26,27,29,36,37,40,41 suggested that diet quality was a predictor of weight gain, with inadequate consumption of fruit and vegetables 27,29,36,40,41 , low fibre 26 and high fat/cholesterol 26, 27, 37 diets being commonplace amongst the students. Of these seven studies, five measured diet/dietary changes using a dietary behaviour questionnaire 26,29,37,40,41 , while two measured diet using a food frequency questionnaire (FFQ) 27,36 . The use of the FFQ allowed one study to report changes in caloric intake 27 .…”

Section: Contraceptionmentioning

confidence: 99%

“…Of these seven studies, five measured diet/dietary changes using a dietary behaviour questionnaire 26,29,37,40,41 , while two measured diet using a food frequency questionnaire (FFQ) 27,36 . The use of the FFQ allowed one study to report changes in caloric intake 27 . In that study, while average caloric intake decreased by 349 kcal/day over the five month period, consumption of alcohol and percent fat intake increased, and fruit and vegetable intake decreased 27 .…”

Section: Contraceptionmentioning

confidence: 99%

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Determinants of Weight Gain in Young Women: A Review of the Literature

Wane

Uffelen

Brown

2010

Journal of Women's Health

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Abstract:Background: Young adult women (18-36 years) are gaining weight at rates higher than women in other age groups. Given its long term deleterious health effects, it is important to know the determinants of this weight gain. However, other than in relation to pregnancy, little is known about the determinants of weight gain in this population group.Method: Papers examining non-pregnancy weight gain in young women were identified through a literature search in PubMed in August 2008. Subsequently, reference lists of included papers were checked for additional eligible papers. Results: 29 papers were included in this review. They were grouped into five categories on the basis of the main identified determinant of weight gain: contraception (4); dietary behaviours (3); quitting smoking (1); physical activity (1) and university transition (20 papers). Study duration ranged from 13 days to 15 years. Weight was objectively measured in 25 studies and selfreported in 4 studies. 27 papers reported weight gain; the highest rates were observed with initial exposure to contraceptive use and the first semester of university.Conclusions: Even though young adulthood is a vulnerable time for weight gain in women, the number of studies examining specific determinants of weight gain was small.Those located identified five social and behavioural determinants, with most of the research focussing on the transition to and through university, and few studies in nonuniversity populations. More studies are needed to assess the concurrent contributions of multiple determinants of weight gain at this life-stage, so that appropriate interventions to prevent excess weight gain can be developed.

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Change in Diet, Physical Activity, and Body Weight in Female College Freshman

Cited by 266 publications

References 21 publications

Monitoring weight daily blocks the freshman weight gain: a model for combating the epidemic of obesity

Monitoring weight daily blocks the freshman weight gain: a model for combating the epidemic of obesity

Nine year changes in sitting time in young and mid-aged Australian women: Findings from the Australian Longitudinal Study for Women's Health

Determinants of Weight Gain in Young Women: A Review of the Literature

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