ABSTRACT
BACKGROUND/OBJECTIVES@#To determine the weight change trend among the adult Turkish population after 1 yr of the coronavirus disease 2019 (COVID-19) pandemic and factors associated with weight change.MATERIALS/METHODS: This cross-sectional study was conducted between 26 February and 6 March 2021 using an online questionnaire that included questions for sociodemographic variables, eating habits, stress level, and the Three-Factor Eating Questionnaire-R18. Those who weighed themselves 1–2 weeks before the pandemic was declared in Turkey and remembered their weight were invited to participate in the study. Trends in weight and body mass index (BMI) change were calculated. The variables associated with a 1% change in BMI were assessed using hierarchical regression analysis. @*RESULTS@#The study was conducted with 1,630 adults (70.25% female) with a mean age of 32.09 (11.62) yrs. The trend of weight change was found to increase by an average of 1.15 ± 6.10 kg (female +0.72 ± 5.51, male +2.16 ± 7.22 kg) for the first year of the COVID-19 pandemic. The rate of participants with a normal BMI (18.50–24.99 kg/m 2 ) decreased to 51.91% from 55.75%. Consuming an "Increased amount of food compared to before the pandemic" was found to be the independent variable that had the strongest association with a 1% increase in BMI (β = 0.23 P < 0.001). The average change in the BMI was higher in older individuals than in those who were younger. A high stress level was associated with a decrease in BMI (β = –0.04 P = 0.048). @*CONCLUSIONS@#In this study, the factors associated with weight change after 1 yr of the pandemic in the Turkish population was reported for the first time. A high stress level and increased weight gain trend still occur in Turkey after 1 yr of the pandemic.
ABSTRACT
Objective: Sleeping disorders are common among Haemodialysis-HD patients. In addition to well-known factors, food consumption impact on sleep quality needs being discovered. Aim was to examine the nutrition-related factors that may influence sleep quality in HD patients
Methods: One hundred and three patients in three HD centres participated. Data were collected with Pittsburgh Sleep Quality Index-PSQI and Questionnaire Form about socio-demographic characteristics and appetite. Biochemical findings were obtained; food consumption for three consecutive days was recorded. Independent Samples t/Mann Whitney U tests for mean comparison; Logistic Regression Analysis for determining variables affecting sleep quality, were used
Results: Mean age was 59.19+/-14.57 years. 51.5% were women. 37.9% had good [PSQI<5] and 62.1% had poor [PSQI>/=5] sleep quality. Appetite had significant impact on sleep quality; poor sleeping risk was 4.194 fold higher in patients with bad appetite than those with good appetite [p=0.038]. Biochemical findings of poor and good sleepers were similar, except for potassium and creatinine. Vitamins B1, B6 and folate intake of good and poor sleepers were significantly different. Patients with good sleep quality consumed significantly higher amounts of above B vitamins [p=0.030, p=0.036, p=0.034, respectively]
Conclusions: Favourable effect of appetite and certain nutrients intake on sleep quality in HD patients was shown. Improving nutritional status of HD patients has potential to increase their sleep quality