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The COVID-19 Pandemic: a Call to Action to Identify and Address Racial and Ethnic Disparities.
Laurencin, CT, McClinton, A
Journal of racial and ethnic health disparities. 2020;7(3):398-402
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The severe acute respiratory syndrome coronavirus 2 virus was first identified in late 2019 in Wuhan, China. Various unsubstantiated reports emerged declaring that the genetic constitution of Blacks or even the presence of melanin rendered Blacks immune to the virus. This study is a call of action which reviews preliminary data on race and ethnicity in the peer-reviewed literature for citizens in America affected by COVID-19. Findings demonstrate that communities of colour (Blacks) have a higher rate of infection and death in comparison to their population percentage in the state of Connecticut. However, authors are unable to draw conclusions since race and ethnicity data is missing and the data in this paper is the earliest data available. Therefore, the authors call for action to identify and address racial and ethnic health disparities in the COVID-19 crisis.
Abstract
The Coronavirus disease 2019 (COVID-19) pandemic has significantly impacted and devastated the world. As the infection spreads, the projected mortality and economic devastation are unprecedented. In particular, racial and ethnic minorities may be at a particular disadvantage as many already assume the status of a marginalized group. Black Americans have a long-standing history of disadvantage and are in a vulnerable position to experience the impact of this crisis and the myth of Black immunity to COVID-19 is detrimental to promoting and maintaining preventative measures. We are the first to present the earliest available data in the peer-reviewed literature on the racial and ethnic distribution of COVID-19-confirmed cases and fatalities in the state of Connecticut. We also seek to explode the myth of Black immunity to the virus. Finally, we call for a National Commission on COVID-19 Racial and Ethnic Health Disparities to further explore and respond to the unique challenges that the crisis presents for Black and Brown communities.
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Predicting Weight Loss Using Psychological and Behavioral Factors: The POUNDS LOST Trial.
Liu, X, Hanseman, DJ, Champagne, CM, Bray, GA, Qi, L, Williamson, DA, Anton, SD, Sacks, FM, Tong, J
The Journal of clinical endocrinology and metabolism. 2020;105(4)
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Food cravings are a psychological state associated with increased food intake and body weight. Understanding food cravings and psychological behaviour may help weight management. This randomised control trial of 811 individuals on a weight loss regime aimed to determine relationships between behavioural factors and weight changes over two years. The results showed that individuals who reported the strongest food cravings, lost less weight and those who had weaker cravings lost the most weight. Craving fatty foods was associated with greater weight loss, less calories consumed and reduced fat intake. Craving carbohydrates was associated with less weight loss and greater weight regain after 2 years. Interestingly, participants lost the most weight in the first six months and then regained weight in years one and two. It was concluded that cravings were most likely to influence weight loss and regain. Individuals who craved fatty foods, were more likely to lose weight through decreased calorie and fat intake. This study could be used by health care professionals to understand that helping their obese and overweight patients to manage their food cravings may aid weight loss and prevent weight gain.
Abstract
CONTEXT Eating habits and food craving are strongly correlated with weight status. It is currently not well understood how psychological and behavioral factors influence both weight loss and weight regain. OBJECTIVE To examine the associations between psychological and behavioral predictors with weight changes and energy intake in a randomized controlled trial on weight loss. DESIGN AND SETTING The Prevention of Obesity Using Novel Dietary Strategies is a dietary intervention trial that examined the efficacy of 4 diets on weight loss over 2 years. Participants were 811 overweight (body mass index, 25-40.9 kg/m2; age, 30-70 years) otherwise healthy adults. RESULTS Every 1-point increase in craving score for high-fat foods at baseline was associated with greater weight loss (-1.62 kg, P = .0004) and a decrease in energy intake (r = -0.10, P = .01) and fat intake (r = -0.16, P < .0001) during the weight loss period. In contrast, craving for carbohydrates/starches was associated with both less weight loss (P < .0001) and more weight regain (P = .04). Greater cognitive restraint of eating at baseline was associated with both less weight loss (0.23 kg, P < .0001) and more weight regain (0.14 kg, P = .0027), whereas greater disinhibition of eating was only associated with more weight regain (0.12 kg, P = .01). CONCLUSIONS Craving for high-fat foods is predictive of greater weight loss, whereas craving for carbohydrates is predictive of less weight loss. Cognitive restraint is predictive of less weight loss and more weight regain. Interventions targeting different psychological and behavioral factors can lead to greater success in weight loss.
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Multiple risk-behavior profiles of smokers with serious mental illness and motivation for change.
Prochaska, JJ, Fromont, SC, Delucchi, K, Young-Wolff, KC, Benowitz, NL, Hall, S, Bonas, T, Hall, SM
Health psychology : official journal of the Division of Health Psychology, American Psychological Association. 2014;33(12):1518-29
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Individuals with serious mental illness (SMI) are at greater risk for chronic disease, which are largely preventable through health behaviour change. Within this population tobacco use is a major health concern and recent trials have demonstrated treating tobacco dependence supports mental health recovery. As risk behaviours tend to co-occur, the aim of this study was to examine the behavioural risk profiles of adult smokers with SMI to further understand frequencies and patterns of risks in order to best inform interventional programmes. In the context of a tobacco-treatment trial, 693 adult smokers from inpatient psychiatry wards were recruited. The Staging Health Risk Assessment was used which screens for risk status and readiness to change 11 health behaviours. The findings of this study showed that most smokers with SMI engage in multiple risks including poor diet, inadequate sleep, physical inactivity and marijuana use. This study can help prioritise health intervention programme targets and provide further benefit for this population.
Abstract
OBJECTIVE Individuals with serious mental illness (SMI) are dying on average 25 years prematurely. The leading causes are chronic preventable diseases. In the context of a tobacco-treatment trial, this exploratory study examined the behavioral risk profiles of adults with SMI to identify broader interventional needs. METHOD Recruited from five acute inpatient psychiatry units, participants were 693 adult smokers (recruitment rate = 76%, 50% male, 45% Caucasian, age M = 39, 49% had income < $10,000) diagnosed with mood disorders (71%), substance-use disorders (63%), posttraumatic stress disorder (39%), psychotic disorders (25%), and attention deficit-hyperactivity disorder (25%). The Staging Health Risk Assessment, the primary measure used in this study, screened for risk status and readiness to change 11 health behaviors, referencing the period prior to acute hospitalization. RESULTS Participants averaged 5.2 (SD = 2.1) risk behaviors, including smoking (100%), high-fat diet (68%), inadequate fruits/vegetables (67%), poor sleep (53%), physical inactivity (52%), and marijuana use (46%). The percent prepared to change ranged from 23% for tobacco and marijuana to 76% for depression management. Latent class analysis differentiated three risk groups: the global higher risk group included patients elevated on all risk behaviors; the global lower risk group was low on all risks; and a mood and metabolic risk group, characterized by inactivity, unhealthy diet, sleep problems, and poor stress and depression management. The global higher risk group (11% of sample) was younger, largely male, and had the greatest number of risk behaviors and mental health diagnoses; had the most severe psychopathologies, addiction-treatment histories, and nicotine dependence; and the lowest confidence for quitting smoking and commitment to abstinence. CONCLUSION Most smokers with SMI engaged in multiple risks. Expanding targets to treat co-occurring risks and personalizing treatment to individuals' multibehavioral profiles may increase intervention relevance, interest, and impact on health.