Study Design and Materials
A cross-sectional study was conducted following obtaining ethical clearance from Zayed University’s Research Ethics Committee. A 12-item food frequency questionnaire, Beck Depression Inventory and Cohen’s Perceived Stress Scale were compiled in one questionnaire.
Population and sampling
The sample was drawn from female students at a national university in United Arab Emirates (UAE). A number of classes were chosen randomly from the list of courses of spring 2018, then emails were sent to the instructors of these classes to ask for permission to administer the questionnaire during the class time starting. Data collection was done from April. 3. 2018 to May. 3. 2018. The sample represented approximately 10% of the targeted population of 4000 students resulted in a total sample size of 389 students. 385 questionnaires were accepted in the study resulting in a response rate of 98.9%. Before data collection, a pilot study was conducted on a sample of 10 students to check that the questionnaire was well understood and was appropriate to use with the intended sample. The pilot study members were not included in the final data analysis reported here.
Materials
Data was collected through a self-reported questionnaire that consisted of three sections; a 12-item food frequency questionnaire, the 10-item Cohen’s Perceived Stress Scale (PSS) and Beck Depression Inventory-II (BDI-II). Weight and height were self-reported which could be a potential source of bias.
- Food Frequency Questionnaire (FFQ)
The food frequency questionnaire (24) assessed the frequency of consumption of 12 food groups; sweets, cake/cookies, snacks, fast food/canned food, fresh fruits, salad/raw vegetables, cooked vegetables, soft drinks, meat/sausages products, fish/seafood, milk/ milk products, and cereal/cereal products. Students were asked to answer the question "How often do you eat the following foods?" on a 5-point scale (several times a day =5, daily =4, several times a week=3, 1–4 times a month=2, and never=1). Cronbach’s = 0.68.
- Cohen’s Perceived Stress Scale (PSS)
The PSS estimates the degree of which situations in a person’s life are considered stressful through 10 items (29,30). Students expressed their feelings and thoughts for each item during the past month on a 5-point scale (0=Never, 1= Almost never, 2= Sometimes, 3= Fairly often, and 4= Very often). In this sample, Cronbach’s = 0.68.
- Beck Depression Inventory-II (BDI-II)
The BDI-II measures the behavioral manifestation of depression (31,32). BDI-II was created in 1996 in alignment with the DSM-IV’s diagnostic criteria for major depressive episode (33). BDI-II consists of 21 items of 4 statements each. Students were asked to choose one statement in each item that best describes their feeling during the past two weeks. The statements were on a 4-point scale; 0 to 3. The creators of the BDI-II have found it to have enhanced validity compared to the original BDI (31). The Arabic version of BDI-II (34) was validated in 18 Arab countries: Palestine, Lebanon, Syria, Jordan, Saudi Arabia, Kuwait, Qatar, Bahrain, United Arab Emirates, Oman, Yemen, Egypt, Sudan, Tunisia, Libya, Algeria and Morocco with Cronbach’s falling between 0.82 to 0.93 (35,36). To compensate for the removal of item 9 (suicidal thoughts and wishes) as per the ethical committee’s instructions, the scoring system was adjusted. The modified version of BDI-II consisted of 20 items and had a Cronbach’s of 0.89.
Main Variables and Statistical Analysis
The FFQ is measured on a five-point scale (several times a day =5, daily =4, several times a week=3, 1–4 times a month=2, and never=1). There are 12 items in the FFQ, the sum of all answers from each respondent to all 12 items was calculated and called the “food frequency sum” (FF Sum).
In order to compare the results to other studies (24), and by taking into consideration the least moderate correlations (Spearman >0.2) among the items of each subscale and factor analysis, and based on theoretical considerations regarding the content of foods, it was decided to combine some food groups into subscales. The following subscales are used: Unhealthy Foods subscale that consist of sweets, cake/cookies, snacks, and fast food, and Fresh Food subscale that consists of fresh fruits, salads/raw vegetables and cooked vegetables. All remaining food groups were left as separate subscales. The subscales’ scores were created as mean scores of the corresponding items.
The BDI-II score (BDI-II Sum) was computed by summing up the responses to all 20 items that measure this mental health indicator. The Perceived Stress Score variable (PSS Sum) was generated by summing all responses to all items of Cohen’s Perceived Stress Scale after reversing scores to the four positively stated items (statements 4, 5, 7, and 8). The reversing was done by recoding the 4 statements using 0 for 4, 1 for 3, 2 kept as 2, 3 for 1, and 0 for 4.
The normality for all score variables was checked from Kurtosis and Skewedness, histogram, and Q_Q plots. It was noticed that all variables were approximately normally distributed
The independent associations between food groups (FFQ) and perceived stress (PSS) and depressive symptoms (BDI-II) were studied in two separate linear regression models; univariable and multivariable. The newly created variables FFQ Sum, PSS Sum, BDI-II Sum served as dependent variables in the study and were used for subsequent data analyses. Socio-demographic and anthropometric variables served as independent variables.
The collected data was coded, entered, and analyzed using the Statistical package SPSS version 25. Statistical tests with p-values < 0.05 were considered statistically significant. Descriptive statistics was computed to describe all items of the questionnaire.
One-way Analysis of Variance (ANOVA) or the independent-sample t-test were carried out to test the equality of population means across the categories of each independent variable (predictor) depending on the independent variable number of categories. Multiple linear regression analysis was used to predict each of the outcome variables using the predictors: marital status, age, BMI, exercise, stress and depressive symptoms.