49 research outputs found

    Perceptions of carotenoid and melanin colouration in faces among young Australian adults

    Get PDF
    Objective:  Human skin colour is influenced by three pigments: haemoglobin, carotenoids, and melanin. Carotenoids are abundant in fruits and vegetables, and when consumed accumulate in all layers of the skin, predominantly imparting yellowness (b*). This study investigated the effect of the manipulation of carotenoid-based skin colour, relative to the skin colour conferred by melanin on the perceptions of health amongst a group of Australian adults. Method:  Fifty-seven participants (n = 4 male; mean age 27.9 ± 7.5 years) completed three computer-based experiments on 50 trial faces. In the first two experiments, face image colour was manipulated along one or two independent single carotenoid or melanin axes on each trial to ‘make the face appear as healthy as possible’. In the third trial, face colour was manipulated on both the carotenoid and melanin axes simultaneously. Results:  For the single axis, participants significantly increased melanin colouration and added carotenoid colouration to facial images that were initially low in skin yellowness (b*). When carotenoid and melanin axes were simultaneously manipulated, carotenoid colouration was raised (ΔE  = 3.15 ( SE  ±0.19)) and melanin colouration was lowered (ΔE  = −1.04 ( SE  ±0.1)). Conclusions:  Young Australian adults perceive facial skin colouration, associated with both carotenoid intake from fruit and vegetables and melanin due to sun exposure as conveying the appearance of health in young adults. However, carotenoid colouration was more important to health perception.PostprintPeer reviewe

    Latent Class Analysis of Multiple Health Risk Behaviors among Australian University Students and Associations with Psychological Distress

    No full text
    University students have high rates of health risk behaviors and psychological distress. This study explores patterns of health behaviors among a sample of Australian university students, and determines whether patterns of health behaviors are associated with psychological distress and demographic characteristics. Cross-sectional data from the University of Newcastle Student Healthy Lifestyle Survey 2019 were analyzed. Fruit and vegetable intake, sugar-sweetened beverage intake, physical activity, sitting time, smoking, alcohol intake, drug use, sleep and psychological distress were assessed. Latent class analysis (LCA) was used to identify patterns of health risk behaviors, and latent class regression to explore associations between psychological distress and demographic characteristics with health behavior classes. Analysis included 1965 students (mean age 25.8 ± 8.6 years, 70.7% female). Three patterns of health behaviors were identified: healthier (48.6%), moderate (40.2%) and unhealthy (11.2%) lifestyle classes. Students in the moderate and unhealthy lifestyle classes had higher odds of moderate (OR 1.43 and 2.37) and high/very high psychological distress risk (OR 2.71 and 11.69). Students in the unhealthy and moderate lifestyle classes had a higher odds of being male, younger, enrolled in transition to university and English language courses, Aboriginal or Torres Strait Islander descent and to report some financial difficulty. Study findings may be used to inform the design of mental health interventions for university students that target key health risk behaviors

    Fruit, vegetable and dietary carotenoid intakes explain variation in skin-color in young caucasian women : a cross-sectional study

    Get PDF
    This work was supported by a scholarship top-up grant from HMRI. Kristine Pezdirc is supported by an Australian Postgraduate Awards scholarship. Melinda Hutchesson is supported by a Postdoctoral Fellowship (100177) from the National Heart Foundation of Australia.Fruit and vegetables contain carotenoid pigments, which accumulate in human skin, contributing to its yellowness. This effect has a beneficial impact on appearance. The aim was to evaluate associations between diet (fruit, vegetable and dietary carotenoid intakes) and skin color in young women. Ninety-one Caucasian women (Median and Interquartile Range (IQR) age 22.1 (18.1–29.1) years, BMI 22.9 (18.5–31.9) kg/m2) were recruited from the Hunter region (Australia). Fruit, vegetable and dietary carotenoid intakes were estimated by a validated food frequency questionnaire. Skin color was measured at nine body locations (sun exposed and unexposed sites) using spectrophotometry. Multiple linear regression was used to assess the relationship between fruit and vegetable intakes and skin yellowness adjusting for known confounders. Higher combined fruit and vegetable intakes (β = 0.8, p = 0.017) were associated with higher overall skin yellowness values. Higher fruit combined fruit and vegetable intakes (β = 1.0, p = 0.004) were associated with increased unexposed skin yellowness. Combined fruit and vegetables plus dietary carotenoid intakes contribute to skin yellowness in young Caucasian women. Evaluation of interventions using improvements in appearance as an incentive for increasing fruit and vegetable consumption in young women is warranted.Publisher PDFPeer reviewe

    Weight management interventions targeting young women : A systematic review

    No full text
    Young women are at high risk of weight gain. The aim of this systematic review was to evaluate randomized controlled trials of weight management interventions specifically targeting young women. Nine databases were searched for randomized controlled trials conducted from 1980 to December 2011 that recruited women aged 18 to 35 years, evaluated a weight management intervention, and reported weight as the primary outcome. Eight studies of moderate to poor quality met the inclusion criteria. Three interventions were specifically designed for young women and compared behavioral weight gain prevention interventions to control groups. Four of the five remaining studies evaluated weight gain prevention interventions, including daily weighing with feedback (n = 2), a science course (n = 1), and an exercise programs (n = 1). The single weight loss intervention lowered the energy density of the participants' diet (n = 1). Intervention lengths ranged from 4 weeks to 1 year, and only three studies followed-up with participants after the intervention. Retention rates ranged from 54% to 100% at post-intervention follow-up, with over half of the studies' retention rates <80%. Five studies reported significant differences in weight change in the intervention group (-1.9 kg to +0.1 kg) compared with controls (-0.2 kg to +3.1 kg) after the intervention. The available evidence suggests weight management interventions targeting young women are limited in number and quality and are highly heterogeneous. Therefore, their overall effectiveness cannot be established at this time. High-quality randomized controlled trials evaluating interventions that are tailored to the unique needs of young women, and that can be disseminated broadly, are urgently needed to address the unmet needs of this high-risk group.</p

    A systematic review of eHealth behavioral interventions targeting smoking, nutrition, alcohol, physical activity and/or obesity for young adults

    No full text
    A systematic review of randomized control trials (RCT) was undertaken to evaluate the effectiveness of eHealth behavioral interventions aiming to improve smoking rates, nutrition behaviors, alcohol intake, physical activity levels and/or obesity (SNAPO) in young adults. Seven electronic databases were searched for RCTs published in English from 2000 to April 2015 and evaluating eHealth interventions aiming to change one or multiple SNAPO outcomes, and including young adult (18–35 years) participants. Of 2,159 articles identified, 45 studies met the inclusion criteria. Most interventions targeted alcohol (n = 26), followed by smoking (n = 7), physical activity (n = 4), obesity (n = 4) and nutrition (n = 1). Three interventions targeted multiple behaviors. The eHealth interventions were most often delivered via websites (79.5%). Most studies (n = 32) compared eHealth interventions to a control group (e.g. waiting list control, minimal intervention), with the majority (n = 23) showing a positive effect on a SNAPO outcome at follow-up. Meta-analysis demonstrated a significantly lower mean number of drinks consumed/week in brief web or computer-based interventions compared to controls (Mean Difference − 2.43 [− 3.54, − 1.32],

    Efficacy of standard versus enhanced features in a Web-based commercial weight-loss program for obese adults, part 2: randomized controlled trial

    No full text
    Background: Commercial Web-based weight-loss programs are becoming more popular and increasingly refined through the addition of enhanced features, yet few randomized controlled trials (RCTs) have independently and rigorously evaluated the efficacy of these commercial programs or additional features. Objective: To determine whether overweight and obese adults randomized to an online weight-loss program with additional support features (enhanced) experienced a greater reduction in body mass index (BMI) and increased usage of program features after 12 and 24 weeks compared to those randomized to a standard online version (basic). Methods: An assessor-blinded RCT comparing 301 adults (male: n=125, 41.5%; mean age: 41.9 years, SD 10.2; mean BMI: 32.2 kg/m2, SD 3.9) who were recruited and enrolled offline, and randomly allocated to basic or enhanced versions of a commercially available Web-based weight-loss program for 24 weeks. Results: Retention at 24 weeks was greater in the enhanced group versus the basic group (basic 68.5%, enhanced 81.0%; P=.01). In the intention-to-treat analysis of covariance with imputation using last observation carried forward, after 24 weeks both intervention groups had reductions in key outcomes with no difference between groups: BMI (basic mean –1.1 kg/m2, SD 1.5; enhanced mean –1.3 kg/m2, SD 2.0; P=.29), weight (basic mean –3.3 kg, SD 4.7; enhanced mean –4.0 kg, SD 6.2; P=.27), waist circumference (basic mean –3.1 cm, SD 4.6; enhanced mean –4.0 cm, SD 6.2; P=.15), and waist-to-height ratio (basic mean –0.02, SD 0.03; enhanced mean –0.02, SD 0.04, P=.21). The enhanced group logged in more often at both 12 and 24 weeks, respectively (enhanced 12-week mean 34.1, SD 28.1 and 24-week mean 43.1, SD 34.0 vs basic 12-week mean 24.6, SD 25.5 and 24-week mean 31.8, SD 33.9; P=.002). Conclusions: The addition of personalized e-feedback in the enhanced program provided limited additional benefits compared to a standard commercial Web-based weight-loss program. However, it does support greater retention in the program and greater usage, which was related to weight loss. Further research is required to develop and examine Web-based features that may enhance engagement and outcomes and identify optimal usage patterns to enhance weight loss using Web-based programs

    Response to: self-directed interventions to promote weight loss: a systematic review of reviews

    No full text
    In the February issue of the Journal of Medical Internet Research, Tang et al reported a systematic review of reviews examining the effectiveness of self-directed interventions to promote weight loss [1]. They reviewed 20 systematic reviews which incorporated 99 primary studies relevant to their review question. They concluded that self-directed interventions promote weight loss both independently and when provided as an adjunct to personal contact interventions
    corecore