The dominant evolutionary theory of physical attraction posits that attractiveness reflects physiological health, and attraction is a mechanism for identifying a healthy mate. Previous studies have found that perceptions of the healthiest body mass index (weight scaled for height; BMI) for women are close to healthy BMI guidelines, while the most attractive BMI is significantly lower, possibly pointing to an influence of sociocultural factors in determining attractive BMI. However, less is known about ideal body size for men. Further, research has not addressed the role of body fat and muscle, which have distinct relationships with health and are conflated in BMI, in determining perceived health and attractiveness. Here, we hypothesised that, if attractiveness reflects physiological health, the most attractive and healthy appearing body composition should be in line with physiologically healthy body composition. Thirty female and 33 male observers were instructed to manipulate 15 female and 15 male body images in terms of their fat and muscle to optimise perceived health and, separately, attractiveness. Observers were unaware that they were manipulating the muscle and fat content of bodies. The most attractive apparent fat mass for female bodies was significantly lower than the healthiest appearing fat mass (and was lower than the physiologically healthy range), with no significant difference for muscle mass. The optimal fat and muscle mass for men’s bodies was in line with the healthy range. Male observers preferred a significantly lower overall male body mass than did female observers. While the body fat and muscle associated with healthy and attractive appearance is broadly in line with physiologically healthy values, deviations from this pattern suggest that future research should examine a possible role for internalization of body ideals in influencing perceptions of attractive body composition, particularly in women.

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Background: The COVID-19 pandemic has resulted in high levels of psychological distress worldwide, with experts expressing concern that this could result in corresponding increases in addictive behaviors as individuals seek to cope with their distress. Further, some individuals may be at greater risk than others for developing problematic addictive behaviors during times of high stress, such as individuals with high trait impulsivity and compulsivity. Despite the potential of such knowledge to inform early detection of risk, no study to date has examined the influence of trait impulsivity and compulsivity on addictive behaviors during COVID-19. Toward this aim, the current study examined the association between impulsive and compulsive traits and problematic addictive and compulsive behaviors during the first COVID-19 lockdown in Australia.Methods: Eight hundred seventy-eight adults completed a cross-sectional online survey during the first lockdown, between late May to June 2020. Participants completed scales for addictive and compulsive behaviors for the period prior to and during lockdown for problematic eating, pornography, internet use, gambling, drinking, and obsessive-compulsive behaviors. Negative binomial regressions examined the associations between impulsivity, compulsivity, and their interaction with problematic behaviors during lockdown, controlling for age, gender, sample, psychological distress, exposure to COVID-related stressors, and pre-COVID problems.Results: Greater trait compulsivity was associated with more problematic obsessive-compulsive behaviors (p < 0.001) and less problematic drinking (p = 0.038) during lockdown. Further, trait compulsivity interacted with trait impulsivity in relation to problematic eating behaviors (p = 0.014) such that greater trait compulsivity was associated with more problems among individuals with low impulsivity only (p = 0.030). Finally, psychological distress and/or exposure to COVID-related stressors were associated with greater problems across all addictive and compulsive behaviors, as was severity of pre-COVID problems.Discussion: Trait compulsivity was associated with addictive and compulsive behaviors in different ways. Further, the finding that stress-related variables (psychological distress and COVID-related stressors) were associated with greater problems across all lockdown behaviors supports the idea that stress may facilitate, or otherwise be associated with, problematic behaviors. These findings highlight the need for interventions that enhance resilience to stress, which in turn may reduce risk for addictive and compulsive disorders.

IntroductionMany childhood cancer survivors are disengaged from cancer-related follow-up care despite being at high risk of treatment-related late effects. Innovative models of long-term follow-up (LTFU) care to manage ongoing treatment-related complications are needed. ‘Re-engage’ is a nurse-led eHealth intervention designed to improve survivors’ health-related self-efficacy, targeted at survivors disengaged from follow-up. Re-engage aims to overcome survivor- and parent-reported barriers to care and ensure survivors receive the care most appropriate to their risk level.Methods and analysisThis study will recruit 30 Australian childhood cancer survivors who are not receiving any cancer-related care. Participation involves two online/telephone consultations with a survivorship nurse for medical assessment, a case review, risk stratification and creation of a care plan by a multidisciplinary team of specialists. We will assess the feasibility of implementing ‘Re-engage’ and its acceptability to participants and health professionals involved. The primary outcome will be survivors’ health-related self-efficacy, measured at baseline and 1 and 6 months postintervention. Secondary outcomes will include the effect of ‘Re-engage’ on survivors’ health behaviours and beliefs, engagement in healthcare, information needs and emotional well-being. We will also document the cost per patient to deliver ‘Re-engage’. If Re-engage is acceptable, feasible and demonstrates early efficacy, it may have the potential to empower survivors in coordinating their complex care, improving survivors’ long-term engagement and satisfaction with care. Ideally, it will be implemented into clinical practice to recall survivors lost to follow-up and reduce the ongoing burden of treatment for childhood cancer.Ethics and disseminationThe study protocol has been approved by the South Eastern Sydney Local Health District Human Research Ethics Committee (reference number: 16/366). The results will be disseminated in peer-reviewed journals and at scientific conferences. A lay summary will be published on the Behavioural Sciences Unit website.Trial registration numberACTRN12618000194268.