Consuming a low-calorie amount of routine food and drink does not affect bioimpedance body fat percentage in healthy individuals

Association of sociodemographic, anthropometric, and sleep quality factors with accelerometer-measured sitting and physical activity times among Emirati working women during the COVID-19 pandemic: A cross-sectional study

BACKGROUND

Although a significant lack of physical activity has been linked to an increase in obesity among Emirati women, the factors associated with accelerometer-measured sitting and physical activity times in Emirati women remain unclear.

OBJECTIVES

To explore the association of accelerometer-measured sitting and physical activity times with sociodemographic, anthropometric, and sleep quality factors among Emirati working women.

DESIGN

A cross-sectional study.

METHODS

A convenience sample of 163 healthy working Emirati women aged 18-45 years was used. Sedentary and physical activity times were measured using the Fibion accelerometers worn on the thighs for 4-7 days. General demographic information, anthropometric measurements, and self-reported sleep quality (Pittsburgh sleep quality index score) were collected. Only participants who had valid data (i.e. wear time of ⩾600 min (10 h) per day for a minimum of 4-7 days) were evaluated. All values were normalized to a 16-h day to mitigate differences in wear time among the participants.

RESULTS

Overall, 110 Emirati women were included. The mean sitting time per 16-h day was 11.6 ± 1.1 h; mean moderate activity time per day, 40.88 ± 17.99 min; and mean vigorous activity time per day, 2.41 ± 1.21 min. Longer sitting time was associated with high body fat, secondary education, and divorce. Sitting time was reduced in those with good sleep quality. Moderate-to-vigorous physical activity time was increased in women with postgraduate education and was decreased in women with a longer work experience and with comorbidities. The total activity time increased with increasing age and good sleep quality, whereas it decreased with increasing body fat, presence of at least one comorbidity, secondary education, and divorce.

CONCLUSION

Certain demographic, anthropometric, and sleep quality factors were associated with accelerometer-measured sitting and physical activity times among Emirati working women. Future longitudinal studies should consider these factors when investigating predictors of physical activity levels in this population.

Detregiachi C, Gabaldi Rocha M, Cincotto dos Santos Bueno P, Fornari Laurindo L, Barbalho SM. The Influence of Body Fat and Lean Mass on HbA1c and Lipid Profile in Children and Adolescents with Type 1 Diabetes Mellitus

Glycated hemoglobin (HbA1c) is used to assess glycemic control in Type 1 diabetes (DM1) patients. Apolipoproteins play an essential role in DM1 pathophysiology and may be associated with complications and HbA1c. This cross-sectional observational study of 81 children and adolescents of both sexes diagnosed with DM1 investigated the relationship between body fat distribution and lean mass with HbA1C and apolipoprotein values, analyzing biochemical and body composition measurements. A Shapiro-Wilk test with Lilliefors correction, a non-parametric Mann-Whitney test, and others were used with a significance level of 5%. The sample had a diagnosis time of 4.32 years and high blood glucose levels (mean 178.19 mg/dL) and HbA1c (mean 8.57%). Subjects also had a moderate level of adiposity, as indicated by arm and thigh fat areas. The study also found significant differences in the distribution of patients concerning levels of apolipoproteins A and B, with a smaller proportion of patients having undesirable levels. Finally, the study found a significant difference in the distribution of patients with estimated cardiovascular risk based on the ApoB/ApoA-I ratio. Conclusively, visceral fat in children and adolescents with DM1 may increase the risk of DM1 long-term complications owing to its association with elevated HbA1C and apolipoprotein values.

The Effect of Fasting on Body Composition Assessment in Hospitalized Cancer Patients

Guidelines for bioelectrical impedance analysis (BIA) recommend fasting before measurements, but how it affects the outcomes is unclear. This descriptive, before-and-after study examines the effect of fasting on BIA results and its impact on the diagnosis of malnutrition in hospitalized cancer patients. Fifty-three oncology patients (admitted in January-March 2020) were consecutively enrolled regardless of their nutritional status. Patients were assessed by the same dietician 24-48 h after admission, following the usual clinical practice. The measurements were taken after 12-h fasting (fasting state) and 60-90 min after breakfast (non-fasting state). Bioimpedance parameters (resistance [R], reactance [Xc], phase angle [PA]) and body composition indices (free-fat mass index [FFMI] and appendicular skeletal muscle index [ASMI]) were calculated. On average, R values did not significantly differ between fasting and non-fasting states (mean difference: +1.82 Ω; p = 0.64). The non-fasting Xc and PA were reduced (mean differences: -1.55 Ω, p = 0.93 and 0.09°, p = 0.82, respectively). Fasting and non-fasting FFMI and ASMI were similar (mean differences: -0.13 kg/m2 (p = 0.5) and -0.10 kg/m2 (p not calculated)). These results suggest that BIA does not require fasting, facilitating its routine use in hospitalized cancer patients.