Associations of low levels of air pollution with cardiometabolic outcomes and the role of diet quality in individuals with obesity.

BACKGROUND: Exposure to air pollution is associated with adverse cardiometabolic health effects and increased mortality, even at low concentrations. Some of the biological mechanisms through which air pollution can affect cardiometabolic health overlap with health outcomes associated with diet quality and changes in diet. OBJECTIVE: The objective of this study is to investigate associations of air pollutants at average concentrations below the World Health Organization, 2021 air quality guidelines with cardiometabolic outcomes. Furthermore, potential interaction between air pollutants and diet quality will be assessed. METHODS: 82 individuals with obesity participated in a combined weight loss and weight loss maintenance study for a total of 33 weeks. A secondary analysis was conducted incorporating air pollution measurements. Data were analysed with linear mixed-effects models. RESULTS: A total of 17 significant associations were observed for single pollutants with 10 cardiometabolic outcomes, predominantly related to blood lipids, hormones, and glucose regulation. Diet quality, as measured by the Baltic Sea Diet score, did not appear to mediate the association of air pollution with cardiometabolic outcomes, however, diet quality was observed to significantly modify the association of PM2.5 with total cholesterol, and the associations of NO and O3 with ghrelin. DISCUSSION: These findings suggest that exposure to ambient air pollutants, especially particulate matter, at levels below World Health Organization, 2021 air quality guidelines, were associated with changes in cardiometabolic risk factors. Diet may be a personal-level approach for individuals to modify the impact of exposure to air pollution on cardiometabolic health.

Maximal Resistance Training in the Treatment of Anorexia Nervosa - A Case Report Series.

Objective: Anorexia Nervosa (AN) has one of the highest mortality rates of all mental health disorders, low recovery rate and is associated with widespread endocrine dysfunction. Resistance training (RT) has been consistently shown to provide beneficial effects on health outcomes that are often negatively affected by AN, however participation in exercise is controversial for individuals with AN. The objective of this study was to assess the effects of maximal RT as an add-on to standard of care in patients with AN. Methods: Originally, a controlled clinical trial was planned but due to COVID-19 pandemic, the study was prematurely ended and reported as a case series design. Three female inpatients with AN (Age 18-29 years, body mass index (BMI) 14.5-16.3 kg/m2, illness duration 1-7 years) underwent a supervised 6-week RT intervention as an add-on to standard of care. Primary outcome was muscular strength, as measured by a 1-repetition maximum. Secondary outcomes included BMI, eating disorder psychopathology and maladaptive exercise tendencies. Results: No adverse events were reported. All three participants improved lower body muscle strength, ranging from 32% to 134% in the leg press. Changes of 4% to 134% in the bench press and -3% to 38% in the pulldown were also observed. Conclusions: RT improved muscular strength in the participants. RT as part of standard of care may also provide additional benefits for individuals with AN, although further research is required to determine which subtype of patients would benefit from the addition of RT to their treatment protocol.

Longitudinal associations of an exposome score with serum metabolites from childhood to adolescence.

Environmental and lifestyle factors, including air pollution, impaired diet, and low physical activity, have been associated with cardiometabolic risk factors in childhood and adolescence. However, environmental and lifestyle exposures do not exert their physiological effects in isolation. This study investigated associations between an exposome score to measure the impact of multiple exposures, including diet, physical activity, sleep duration, air pollution, and socioeconomic status, and serum metabolites measured using LC-MS and NMR, compared to the individual components of the score. A general population of 504 children aged 6-9 years at baseline was followed up for eight years. Data were analysed with linear mixed-effects models using the R software. The exposome score was associated with 31 metabolites, of which 12 metabolites were not associated with any individual exposure category. These findings highlight the value of a composite score to predict metabolic changes associated with multiple environmental and lifestyle exposures since childhood.