Changes in individuals’ eating habits and mood, sleep quality, and lifestyle during COVID-19
Bibliographic record
Abstract
<b>Objectives: </b>The COVID-19 outbreak was classified as a global epidemic after it emerged in the first quarter of 2020 and the virus spread rapidly after only three months. The quarantines implemented during the COVID-19 period, the deterioration of economic income, and the uncertain situation about the future have affected the changes in physical inactivity, mood changes, sleep quality, lifestyle, and eating habits. Our study aimed to investigate the changes in individuals’ mood, sleep quality, lifestyle, and eating habits during the COVID-19 pandemic period.<br /> <b>Patients and Methods: </b>COVID-19 phobia scale (C19P-S) and coronavirus anxiety scale (CAS) were used to assess the emotional state of individuals. Pittsburgh sleep quality index was used to assess sleep quality. The data required for the research were collected with an online questionnaire. The study was carried out on individuals over 18 years of age between November 2020 and January 2021. Changes in mood, sleep quality and lifestyle with eating habits of individuals during the COVID-19. The data obtained from the studies were analyzed with appropriate statistical methods using the SPSS 22.0 program.<br /> <b>Results:</b> A total of 6,609 individuals between the ages of 18-70 participated in the study, and 69.8% of the participants were female. Sleep quality and the mean score obtained from the C19P-S in female individuals (50.4±10.63) were found to be significantly higher than in male individuals (46.9±9.94) (p&lt;0.001). Sleep quality showed a positive and significant relationship with CAS and C19P-S, respectively (r=0.190, r=224) (p&lt;0.001). Before the COVID-19 period, the individuals consumed the highest rate of fruit (68.8%), tea, herbal teas (48.4%), vegetables (50.8%), and milk and yogurt (48.4%), while after the pandemic the highest rate of industrial packaged bakery products (41.0%), sugar or sweeteners (36.2%), processed meat products (34.7%), and sugar-sweetened soft drinks (30.3%) were consumed.<br /> <b>Conclusions: </b>The COVID-19 may cause changes in individuals’ mood, sleep quality, lifestyle, and eating habits. This is the first study to evaluate these factors together in the Turkish population. We believe that complications related to COVID-19 may have a negative impact on public health in the long term. In the future, we recommend that governments develop policies to improve public health regarding adequate and balanced nutrition, physical activity, and mood management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".