Background: Lockdown due to COVID-19 influenced food habits and lifestyles with potential negative health impact. This study aims to identify patterns of change in eating habits and physical activity during COVID-19 lockdown in Spain and to identify associations with sociodemographic factors and usual habits. Methods: This cross-sectional study included 1155 adults recruited online to answer a 10-section questionnaire. The protocol assessed usual diet by means of a semi-quantitative food frequency questionnaire, usual physical activity (PA) and supplement use, dietary changes, sedentary time, PA, exposure to sunlight, sleep quality, and smoking during confinement. Patterns of dietary change were identified by factor analysis. Factor scores were included in cluster analysis together with change in PA. Results: Six patterns of dietary change were identified that together with PA changes during lockdown defined three clusters of lifestyle change: a cluster less active, a more active cluster, and a third cluster as active as usual. People who were usually less active were more likely to be classified in the cluster that increased physical activity in confinement. Scores of the Healthy Mediterranean-Style dietary pattern were higher in this group. Conclusions: Different patterns of change in lifestyles in confinement suggest the need to tailor support and advice to different population groups.

Background: Myostatin has been proposed as a candidate biomarker for frailty and sarcopenia. However, the relationship of myostatin with these conditions remains inconclusive. Objective: To determine the association of serum myostatin concentration with body composition, physical fitness, physical activity level, and frailty in long-term nursing home residents. We also aimed to ascertain the effect of an exercise program on myostatin levels. Methods: We obtained study data on 112 participants from long-term nursing homes. Participants were randomly assigned to a control or an intervention group and performed a 6-month multicomponent exercise program. Serum myostatin levels were analyzed by ELISA. Assessments also included body composition (anthropometry and bioelectrical impedance), physical fitness (Senior Fitness Test), physical activity level (accelerometry), and frailty (Fried frailty criteria, Clinical Frailty Scale, and Tilburg frailty indicator). Results: The concentration of myostatin at baseline was positively correlated with: a leaner body composition (p < 0.05), and a higher number of steps per day and light and moderate-vigorous physical activity in women (p < 0.005); greater upper and lower limb strength, endurance, and poorer flexibility (p < 0.05) in men; and better performance (less time) in the 8-ft timed up-and-go test in both women (p < 0.01) and men (p < 0.005). We observed higher concentrations of serum myostatin in non-frail than in frail participants (p < 0.05). Additionally, we found that the implemented physical exercise intervention, which was effective to improve physical fitness, increased myostatin concentration in men (p < 0.05) but not in women. The improvements in physical condition were related with increases in serum myostatin only in men (p < 0.05–0.01). Conclusions: Higher serum levels of myostatin were found to be associated with better physical fitness. The improvements in physical fitness after the intervention were positively related to increases in myostatin concentrations in men. These results seem to rule out the idea that high serum myostatin levels are indicative of frailty in long-term nursing home residents. However, although the direction of association was opposite to that expected for the function of myostatin, the use of this protein as a biomarker for physical fitness, rather than frailty, merits further study.

Understanding the modifiable factors that improve and maximize peak bone mass at an early age is necessary to design more effective intervention programs to prevent osteoporosis. To identify these modifiable factors, we analyzed the relationship of physical activity (PA), physical fitness, body composition, and dietary intake with bone stiffness index (SI), measured by quantitative ultrasonometry in young university students (18–21 years). Moderate-to-vigorous PA (MVPA) was the strongest predictor of SI (β = 0.184; p = 0.035). SI was most closely related with very vigorous PA in males (β = 0.288; p = 0.040) and with the number of steps/day in females (β = 0.319; p = 0.002). An association between thigh muscle and SI was consistent in both sexes (β = 0.328; p < 0.001). Additionally, extension maximal force was a bone SI predictor factor in females (β = 0.263; p = 0.016) independent of thigh muscle perimeter. Calcium intake was the only nutrition parameter that had a positive relationship with SI (R = 0.217; p = 0.022). However, it was not included as a predictor for SI in our regression models. This study identifies predictors of bone status in each sex and indicates that muscle and bone interrelate with PA and fitness in young adults.

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