Lifestyle patterns associated with diet, physical activity, body mass index and amount of recent weight loss in a sample of successful weight losers

In this study, we assessed the influences of change in moderate-to-vigorous physical activity (MVPA)/sedentary time (ST) of caregivers participating in a commercial weight-loss program on their children’s change in MVPA/ST. Data from 29 caregivers and their children were collected over 8 weeks. We used multivariable linear regression to assess associations of changes in caregiver’s percent of time spent in MVPA/ST and changes in their child’s percent of time spent in MVPA/ST. For caregivers that decreased body mass index (BMI) over 8 weeks, changes in caregivers’ MVPA was strongly associated with the change in children’s MVPA (β = 2.61 [95% CI: 0.45, 4.77]) compared to caregivers who maintained/increased BMI (β = 0.24 [–2.16, 2.64]). Changes in caregivers’ ST was strongly associated with changes in children’s ST (β = 2.42 [1.02, 3.81]) compared to caregivers who maintained/increased BMI (β = 0.35 [–0.45, 1.14]). Findings reinforce encouraging caregivers to enroll in weight-loss programs for the benefit of their children as well as for themselves.

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Are Men More Intuitive When It Comes to Eating and Physical Activity?

American Journal of Men s Health ◽

10.1177/1557988311428090 ◽

2011 ◽

Vol 6 (2) ◽

pp. 164-171 ◽

Cited By ~ 20

Author(s):

Julie Gast ◽

Hala Madanat ◽

Amy Campbell Nielson

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Weight Loss ◽

Intrinsic Motivation ◽

Weight Management ◽

Body Mass ◽

Demographic Variables ◽

Intuitive Eating ◽

Lower Body ◽

Behavioral Regulation

The purpose of this study was to determine where men fall on the motivation continuum based on intuitive eating status and if motivation for physical activity and intuitive eating are correlated. Results indicate that being an intuitive eater was associated with a lower body mass index. In terms of demographic variables, as age increased, intuitive eating status decreased and body mass index increased. Men scored high on the antidieting and self-care subscales of the Intuitive Eating Scale. Men who were classified as intuitive eaters scored higher on the external and introjected regulation of the Behavioral Regulation in Exercise Questionnaire but no significant differences were reported by eating status and the identified and intrinsic motivation subscales. Intuitive eating holds promise as a weight management and weight loss tool for men. Intuitive eating may also influence initial motivation for physical activity for men.

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Group-Based Trajectory Analysis of Physical Activity Change in a US Weight Loss Intervention

Journal of Physical Activity and Health ◽

10.1123/jpah.2017-0484 ◽

2018 ◽

Vol 15 (11) ◽

pp. 840-846 ◽

Cited By ~ 1

Author(s):

Christopher C. Imes ◽

Yaguang Zheng ◽

Dara D. Mendez ◽

Bonny J. Rockette-Wagner ◽

Meghan K. Mattos ◽

...

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Weight Loss ◽

Body Mass ◽

Behavioral Treatment ◽

Group Membership ◽

Multinomial Logistic Regression ◽

Step Count ◽

Weight Loss Intervention ◽

Trajectory Group

Background: The obesity epidemic is a global concern. Standard behavioral treatment including increased physical activity, reduced energy intake, and behavioral change counseling is an effective lifestyle intervention for weight loss. Purpose: To identify distinct step count patterns among weight loss intervention participants, examine weight loss differences by trajectory group, and examine baseline factors associated with trajectory group membership. Methods: Both groups received group-based standard behavioral treatment while the experimental group received up to 30 additional, one-on-one self-efficacy enhancement sessions. Data were analyzed using group-based trajectory modeling, analysis of variance, chi-square tests, and multinomial logistic regression. Results: Participants (N = 120) were mostly female (81.8%) and white (73.6%) with a mean (SD) body mass index of 33.2 (3.8) kg/m2. Four step count trajectory groups were identified: active (>10,000 steps/day; 11.7%), somewhat active (7500–10,000 steps/day; 28.3%), low active (5000–7500 steps/day; 27.5%), and sedentary (<5000 steps/day; 32.5%). Percent weight loss at 12 months increased incrementally by trajectory group (5.1% [5.7%], 7.8% [6.9%], 8.0% [7.4%], and 13.63% [7.0%], respectively; P = .001). At baseline, lower body mass index and higher perceived health predicted membership in the better performing trajectory groups. Conclusions: Within a larger group of adults in a weight loss intervention, 4 distinct trajectory groups were identified and group membership was associated with differential weight loss.

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Changes in Body Mass Index and Physical Activity Predict Changes in Vitality During a Weight Loss Trial in Breast Cancer Survivors

Annals of Behavioral Medicine ◽

10.1093/abm/kay004 ◽

2018 ◽

Vol 52 (12) ◽

pp. 999-1009 ◽

Cited By ~ 3

Author(s):

Kelly M Kenzik ◽

Wendy Demark-Wahnefried ◽

Patricia A Ganz ◽

Graham Colditz ◽

Cheryl L Rock ◽

...

Keyword(s):

Breast Cancer ◽

Physical Activity ◽

Body Mass Index ◽

Weight Loss ◽

Cancer Survivors ◽

Body Mass ◽

Structural Equation ◽

Breast Cancer Survivors ◽

Structural Equation Models ◽

The Mean

AbstractBackgroundBreast cancer survivors rank fatigue (e.g., decreased vitality) as their number one concern affecting quality of life. Excess adiposity is associated with decreased vitality in breast cancer survivors, yet weight loss intervention trials report inconsistent effects on this parameter.MethodsThis is a secondary analysis of the Exercise and Nutrition to Enhance Recovery and Good Health for You trial, in which 692 overweight or obese breast cancer survivors ≤5 years from diagnosis, initiated weight loss interventions, and completed assessments semi-annually for 2 years. Assessments included the Godin Leisure-Time Exercise Questionnaire and the SF-36 MOS vitality subscale as an inverse measure of fatigue. Multilevel structural equation models estimated the direct effects of physical activity on vitality and indirect effects through body mass index (BMI) changes.ResultsWithin-person findings show that at assessments with greater physical activity, BMI was significantly lower (B = −0.07, p < 0.001) and vitality was higher (B = 0.22, p < 0.001). However, there was no direct relationship between lower BMI and higher vitality (B = −0.11, p = 0.262) after controlling for the relationship of physical activity with BMI and physical activity with vitality. The between-person indirect effect of physical activity change through BMI change to vitality was significant (B = 0.03, p < 0.001). Participants whose physical activity was above the mean (B = 0.37, p < 0.001) and whose BMI was below the mean (B = −1.05, p < 0.001) were more likely to report greater vitality.ConclusionImprovements in vitality are primarily associated with increases in physical activity rather than BMI changes in this trial. Vitality was lower among survivors with higher BMI, although within-individual changes in BMI had no effect on vitality. Physical activity and weight loss share mechanistic links to vitality with physical activity potentially increasing (e.g., in an additive or synergistic manner) the effect of BMI reduction on vitality.

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Asthma as a Barrier to Children's Physical Activity: Implications for Body Mass Index and Mental Health

Yearbook of Sports Medicine ◽

10.1016/s0162-0908(08)70151-x ◽

2007 ◽

Vol 2007 ◽

pp. 179-180

Author(s):

T. Rowland

Keyword(s):

Mental Health ◽

Physical Activity ◽

Body Mass Index ◽

Body Mass ◽

Children’S Physical Activity

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Dietary Habits and Physical Activity in Young Adults with Inappropriately High Body Mass Index - a Cross-Sectional Study in Medical Students

Medicina Sportiva ◽

10.2478/v10036-007-0015-1 ◽

2007 ◽

Vol 11 (3) ◽

pp. 78-83

Author(s):

Lukasz J. Krzych

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Young Adults ◽

Medical Students ◽

Body Mass ◽

Dietary Habits ◽

High Body Mass Index ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional

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Disentangling the obesity paradox in upper gastrointestinal cancers: Weight loss matters more than body mass index

Cancer Epidemiology ◽

10.1016/j.canep.2021.101912 ◽

2021 ◽

Vol 72 ◽

pp. 101912

Author(s):

Shria Kumar ◽

Nadim Mahmud ◽

David S. Goldberg ◽

Jashodeep Datta ◽

David E. Kaplan

Keyword(s):

Body Mass Index ◽

Weight Loss ◽

Body Mass ◽

Obesity Paradox ◽

Gastrointestinal Cancers ◽

Upper Gastrointestinal

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The Relationship between Body Mass Index and Mammographic Density during a Premenopausal Weight Loss Intervention Study

Cancers ◽

10.3390/cancers13133245 ◽

2021 ◽

Vol 13 (13) ◽

pp. 3245

Author(s):

Emma C. Atakpa ◽

Adam R. Brentnall ◽

Susan Astley ◽

Jack Cuzick ◽

D. Gareth Evans ◽

...

Keyword(s):

Body Mass Index ◽

Weight Loss ◽

Body Mass ◽

Breast Density ◽

Small Sample ◽

Weight Loss Intervention ◽

Short Term ◽

Dense Area ◽

Short Term Change ◽

Term Change

We evaluated the association between short-term change in body mass index (BMI) and breast density during a 1 year weight-loss intervention (Manchester, UK). We included 65 premenopausal women (35–45 years, ≥7 kg adult weight gain, family history of breast cancer). BMI and breast density (semi-automated area-based, automated volume-based) were measured at baseline, 1 year, and 2 years after study entry (1 year post intervention). Cross-sectional (between-women) and short-term change (within-women) associations between BMI and breast density were measured using repeated-measures correlation coefficients and multivariable linear mixed models. BMI was positively correlated with dense volume between-women (r = 0.41, 95%CI: 0.17, 0.61), but less so within-women (r = 0.08, 95%CI: −0.16, 0.28). There was little association with dense area (between-women r = −0.12, 95%CI: −0.38, 0.16; within-women r = 0.01, 95%CI: −0.24, 0.25). BMI and breast fat were positively correlated (volume: between r = 0.77, 95%CI: 0.69, 0.84, within r = 0.58, 95%CI: 0.36, 0.75; area: between r = 0.74, 95%CI: 0.63, 0.82, within r = 0.45, 95%CI: 0.23, 0.63). Multivariable models reported similar associations. Exploratory analysis suggested associations between BMI gain from 20 years and density measures (standard deviation change per +5 kg/m2 BMI: dense area: +0.61 (95%CI: 0.12, 1.09); fat volume: −0.31 (95%CI: −0.62, 0.00)). Short-term BMI change is likely to be positively associated with breast fat, but we found little association with dense tissue, although power was limited by small sample size.

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