999 resultados para Truck weight


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High molecular weight bovine lactoferrin (HMW-bLf) has been successfully purified from bovine colostrum.The novel bioassay based findings from this study clearly proved the potential of HMW-bLf as a strong and promising therapeutic agent for targeting different kinds of cancers such as ovarian, breast and colon cancers.

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Limiting gestational weight gain (GWG) to recommended levels is important to optimize health outcomes for mother and baby. Surprisingly, a recent review revealed that theory-based interventions to limit GWG were less effective than interventions that did not report a theory-base; however, strict criteria were used to identify theory-informed studies. We extended this review and others by systematically evaluating the theories of behaviour change informing GWG interventions using a generalized health psychology perspective, and meta-analysing behaviour change techniques reported in the interventions. Interventions designed to limit GWG were searched for using health, nursing and psychology databases. Papers reporting an underpinning theory were identified and the CALO-RE taxonomy was used to determine individual behaviour change techniques. Nineteen studies were identified for inclusion. Eight studies were informed by a behaviour change theory; six reported favourable effects on GWG. Overall, studies based on theory were as effective as non–theory-based studies at limiting GWG. Furthermore, the provision of information, motivational interviewing, behavioural self-monitoring and providing rewards contingent on successful behaviour appear to be key strategies when intervening in GWG. Combining these behaviour change techniques with dietary interventions may be most effective. Future research should focus on determining the exact combination of behaviour change techniques, or which underpinning theories, are most useful for limiting GWG.

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Background

There is an increased risk of obesity amongst socioeconomically disadvantaged populations and emerging evidence suggests that psychological stress may be a key factor in this relationship. This paper reports the results of cross-sectional and longitudinal analyses of relationships between perceived stress, weight and weight-related behaviours in a cohort of socioeconomically disadvantaged women.

Methods.
This study used baseline and follow-up self-report survey data from the Resilience for Eating and Activity Despite Inequality study, comprising a cohort of 1382 women aged 18 to 46 years from 80 of the most socioeconomically disadvantaged neighbourhoods in Victoria, Australia. Women reported their height (baseline only), weight, sociodemographic characteristics, perceived stress, leisure-time physical activity, sedentary and dietary behaviours at baseline and three-year follow-up. Linear and multinomial logistic regression were used to examine cross-sectional and longitudinal associations between stress (predictor) and weight, and weight-related behaviours.

Results:
Higher perceived stress in women was associated with a higher BMI, and to increased odds of being obese in cross-sectional and longitudinal analyses. Cross-sectional and longitudinal associations were found between stress and both less leisure-time physical activity, and more frequent fast food consumption. Longitudinal associations were also found between stress and increased television viewing time.

Conclusion:
The present study contributes to the literature related to the effects of stress on weight and weight-related behaviours. The findings suggest that higher stress levels could contribute to obesity risk in women. Further research is needed to fully understand the mechanisms underlying these associations. However, interventions that incorporate stress management techniques might help to prevent rising obesity rates among socioeconomically disadvantaged women.

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This study examined the utility of the biopsychosocial model to predict accuracy of weight status perception among Australian adolescents. The factors included in this framework were: age, gender, and BMI-z (biological factors); satisfaction with body weight and shape (psychological factors); socioeconomic status, peer weight (social factors). Cross-sectional data, including measured height and weight, and self-reported weight status, was obtained from 2954 adolescents (mean age = 14.6, 56% male) who participated in the It's Your Move! study. Accuracy of weight status perception was associated with gender, BMI-z, SES, and weight and shape satisfaction. Gender differences in weight status perception were moderated by satisfaction with weight. In boys, weight satisfaction was associated with perceived healthy weight; in girls, it was associated with perceived healthy weight and underweight. Moderately overweight adolescents are most at risk of underestimating their weight status and could benefit from education about the boundaries of the healthy weight range.