Can resistance training improve mental health outcomes in older adults? A systematic review and meta-analysis of randomized controlled trials.

Purpose This systematic review and meta-analysis aimed to analyze the effects of resistance training (RT) and to compare the different RT prescriptions, sample characteristics, and mental health outcomes (depressive and anxiety symptoms) in older adults. Methods All studies that were available on 28th April 2023. For the analysis of intervention effects on depressive and anxiety symptoms, standardized mean differences and standard errors were calculated. Meta-analyses using random-effects models, employing robust variance meta-regression for multilevel data structures, with adjustments for small samples. Results For depressive symptoms, the mean effect was - 0.94 (95 %CI: -1.45 - -0.43, P< 0.01, I2= 93.4 %), and for anxiety symptoms, the mean effect was -1.33 (95 %CI: -2.10 - -0.56, P< 0.01, I2= 92.3 %). The mean effect was -0.51 (95 %CI: -0.67 - -0.35, P< 0.01, I2= 36.7 %) for older adults without mental disorders, and those with mental disorders the mean effect was ES= -2.15 (95 %CI: -3.01 - - 1.29, P< 0.01, I2= 91.5 %). Conclusion RT was able to improve mental health outcomes in individuals with and without mental disorders, and some RT characteristics influenced the effect of RT on mental health.

Patterns of sedentary behavior in adults: A cross-sectional study.

Introduction: Sedentary behavior (SB) has been associated with adverse health outcomes, however, it is not completely clear whether total time in SB during the day or prolonged uninterrupted SB are interrelated. The aim of the current study was to describe the different patterns of SB of adults, their relationships, and associated factors. Methods: The sample included 184 adults aged ranging from 18 to 59 years old. SB was objectively measured by an accelerometer and the following SB pattern parameters were obtained: total time in sedentary bouts, mean time of sedentary bouts, and total time in sedentary breaks. Demographic data (age and sex), anthropometry [weight, height, body mass index (BMI)], blood pressure (BP), medical history (self-reported comorbid conditions), and cardiac autonomic modulation, were assessed to identify factors associated with SB. Multiple linear regressions were used to analyze the relationship between SB parameters and the associated factors. Results: The parameters of SB indicated 2.4 (0.9) h/day for total time in sedentary bouts, 36.4 (7.9) min for the mean time of sedentary bouts, and 9.1 (1.9) h/day for the total time in sedentary breaks. Multiple adjusted regression indicated that age was the only factor associated with SB patterns (p < 0.05) after adjustment for confounding variables (sex, age, BMI, dyslipidemia, systolic and diastolic BP). Young adults (18-39 years old) spent more time in sedentary bouts and less time in uninterrupted sedentary bouts compared to middle-aged adults (40-59 years old) (2.58 (0.88) h/day vs. 2.13 (0.90) h/day, respectively; p = 0.001 and 34.5 (5.8) min 18-39 years old vs. 38.8 (9.6) min 40-59 years old; p ≤ 0.001; respectively). The total time in sedentary breaks was similar between age groups (p = 0.465). The total time in sedentary bouts was significantly correlated with the mean time of sedentary bouts (r = -0.58; p ≤ 0.001), and with the total time in sedentary breaks (r = -0.20; p = 0.006). The mean time of sedentary bouts was significantly related to the total time in sedentary breaks (r -= 0.19; p = 0.007). Discussion and Conclusion: In conclusion, age seems to be a relevant factor associated with sedentary behavior with young adults spending more time in SB and accumulating this behavior in a higher amount of sedentary bouts compared to middle-aged adults.

The same storm but not the same boat: Effects of COVID-19 stay-at-home order on mental health in individuals with overweight.

OBJECTIVE: To describe the effects of stay-at-home orders and social distancing during the coronavirus disease (COVID-19) outbreak on mental health and to compare these outcomes between individuals with normal weight and overweight. METHODS: This cross-sectional study included 1857 Brazilian adults, who were invited through social media to answer an online questionnaire from 5 May 2020 to 17 May 2020. The instrument included questions related to health behaviour, mental health (anxiety, depression, self-esteem, sadness and stress) and overall health. Overweight was defined as body mass index (BMI) ≥ 25 Kg/m2 . Multiple logistic regression was conducted to identify whether overweight is associated with mental health variables. RESULTS: Women reported increased anxiety (36.5% vs 22.2%, P < .01), depression (16.2% vs 8.8%, P < .01), low self-esteem (19.8% vs 10.6%, P < .01), sadness (17.7% vs 10.2%, P < .01), and stress (29.5% vs 19.3%, P < .01) relative to men. Women with overweight are more likely to report higher feeling of anxiety (OR 1.62, CI 95% 1.22-2.14), depression (OR 1.79, CI 95% 1.25-2.55), low self-esteem (OR 1.82, CI95% 1.28-2.58) and sadness (OR 1.51, CI 95% 1.08-2.10), adjusted for age, social isolation days, educational level, chronic diseases, smoke, alcohol intake and physical activity. CONCLUSION: Women, specially those with overweight are more vulnerable to the deleterious effects of stay-at-home orders on mental health during the COVID-19 pandemic.