Does muscular fitness predict cardiorespiratory fitness in adolescent girls? A 3-year follow-up study.

The main purpose of the study was to establish, whether future cardiorespiratory fitness might be predicted by the level of muscular fitness at baseline. In this 3-year follow-up study, we recruited 240 secondary school girls at the age of 15 y, who were followed until the age of 17 y. Muscular fitness included the following tests: (i) standing broad jump (cm), (ii) sit-ups in 60 s (#) and (iii) squats in 60 s (#). Cardiorespiratory fitness was split into aerobic endurance (the 800-m run test) and speed endurance (the 400-m run test). Better performances in the 800-m run and the 400-m run tests at follow-up were correlated with higher levels of standing broad jump, sit-ups and squats in 60 s measured at baseline. In regression models adjusted for fat mass and maturity offset, standing broad jump, sit-ups and squats in 60 s were positively associated with the 800-m run test, while only standing broad jump remained significantly and positively associated with the 400-m run test. These data suggest that interventions enhancing muscular fitness should be recommended, as the effects are likely to be associated with future cardiorespiratory fitness in adolescent girls.

The Associations Between Objectively Measured Gait Speed and Subjective Sleep Quality in First-Year University Students, According to Gender.

PURPOSE: To examine the associations between gait speed and sleep quality in first-year university students, according to gender. METHODS: In this cross-sectional study, we recruited 193 first-year university students [mean age±standard deviation (SD): 19.6±1.1 years; mean height: 178.0±10.5 cm; mean weight: 74.0±11.0 kg; 26.9% women). Sleep quality was assessed using the Pittsburgh Sleep Quality questionnaire, with a lower score indicating "better" sleep quality. Gait speed was measured using the Zebris pressure platform. The associations were examined with generalized linear models and multiple regression analysis. RESULTS: In the unadjusted model, faster participants had significantly "better" sleep quality (ß=-3.15, 95% CI -3.82 to -2.47, p<0.001). When the model was adjusted for sex, age, body-mass index, self-rated health, smoking status, and psychological distress, faster participants remained having "better" sleep quality (ß=-2.88, 95% CI -3.53 to -2.22, p<0.001). CONCLUSION: This study shows that sleep quality can be predicted by gait speed in the first-year university students.

Normative Data for Blood Pressure in Croatian War Veterans: A Population-Based Study.

Purpose: The current study aimed to investigate the normative data for blood pressure. Materials and Methods: From 2017 to 2020, 2032 men and women classified as 'war veterans' were recruited (mean age ± standard deviation (SD): 60.97 ± 7.98 years; mean stature: 172.50 ± 9.10 cm; mean body mass: 90.25 ± 36.45 kg; mean body-mass index: 29.66 ± 5.59 kg/m2; 29.9% women). Their systolic and diastolic blood pressures were measured three times. The procedure was carried out according to the American Heart Organization. The sex-specific and age-specific normative data for the 5th, 25th, 50th (median), 75th, and 90th percentiles for systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (measured as SBP-DBP) and mid-BP (the average of SBP and DBP) were presented. Results: The men had higher SBP (p < 0.001), DBP (p < 0.001), pulse pressure (p < 0.001) and mid-BP (p < 0.001) compared to the women. The age-specific differences showed that older individuals had higher values of SBP (p < 0.001), pulse pressure (p < 0.001), and mid-BP (p < 0.001), while no significant differences for DBP (p = 0.496) were observed. Conclusions: This is the first study providing sex-specific and age-specific normative data for blood pressure in war veterans.

Normative Data for Gait Speed and Height Norm Speed in ≥ 60-Year-Old Men and Women.

PURPOSE: To determine normative data for gait speed and height-normalized gait speed in community-dwelling older men and women. MATERIALS AND METHODS: In this cross-sectional study, we recruited 565 men and women aged ≥60 years old. Age was calculated from the date of birth and further classified into four categories: (1) 60-65 years, (2) 66-70 years, (3) 71-75 years and (4) ≥76 years. Gait speed was assessed by a pressure platform (ZEBRIS, Munich, Germany) in meters per second (m/s). Height and weight were objectively measured. Height-normalized gait speed was calculated by dividing gait speed by height. We created the 20th, 40th, 60th and 80th percentile curves for both outcome measures using Cole's Lambda (L), Mu (M) and Sigma (S) method. RESULTS: Mean gait speed and height-normalized gait speed was 1.24 (standard deviation 0.28) and 0.75 (0.17). Significant age-related decline in gait speed for both sexes was observed (p < 0.001). Being a woman (ß = - 0.09, p < 0.001), being older (ß = - 0.02, p < 0.001) and having higher body mass index values (ß = - 0.02, p < 0.001) were significantly associated with slower gait speed. CONCLUSION: Gait speed significantly declines with age in both older men and women. Providing normative data can be used in screening and monitoring "slow" walkers to prevent from foot pain and higher risk of falls.