Depression is a common illness worldwide, with more than 340 million people of all ages suffering from depression [1]. Women are more affected by depression than men [2]. Depression is the leading cause of disability worldwide, and is a major contributor to the overall global burden of disease [3]. Especially when long-lasting and with moderate or severe intensity, depression may become a serious health condition [3]. In Palestine, psychological distress is high, quality of life is very low, and daily life of Palestinians is constantly under threat which makes Palestinians more vulnerable to stress and depression [4]. Depression is considered as an independent predictor for the onset of diabetes mellitus (DM) [5]. In addition, individuals with DM have been reported as having a higher prevalence of depression compared to those without the condition [6]. Furthermore, the odds for experiencing depressive symptoms in DM patients is two times more than nondiabetic persons, independent of sex, type of DM, subject source, or assessment method for depression [7]. However, depression has been approximately unrecognized and untreated in two-thirds of DM patients, which may lead to worsened DM complications [8]. In recent years, researchers have posited that there is a bidirectional link between depression and DM [9].

DM is a metabolic disease characterized by hyperglycemia resulting from defects in insulin secretion, insulin action or both [10]. Globally, the World Health Organization estimates that, 422 million adults were living with DM in 2014, and projects that DM will be the seventh leading cause of death in 2030 [11]. Most of DM deaths (More than 80%) occur in low and middle-income countries [12]. In fact, the majority of people with DM are affected by type 2 DM (T2DM) [10]. In Palestine, the prevalence rate of DM was 10.5% in the West Bank and 11.8% in the Gaza Strip among the registered Palestinian refugees [13]. Abu Rmeileh et al. [14], estimated the prevalence of DM in Palestine at 20.8% and 23.4% in 2020 and 2030, respectively.

Dietary patterns are an approach that has been used to investigate diet-disease relations [15] [16]. Dietary pattern is potentially useful in making dietary recommendations because overall dietary patterns might be easy for the public to interpret or translate into diets [17]. In fact, patients with both DM and depression have low adherence to diet and exercise instructions, which may contribute to the worsening of their quality of life and the deterioration of their DM [18]. Diet is one of the lifestyle factors that may play an important role in preventing and managing these conditions [19] [20]. However, few studies have explored the relationship between dietary patterns and depression among T2DM patients. Most studies have examined the associations between individual foods or food groups and nutrients and depression [21] [22], instead of focusing on dietary patterns which is the most sensible approach to test the role of the overall diet on nutrition-related diseases. Therefore, understanding the association between dietary patterns with depression may be helpful in reducing diabetes-related premature mortality and improve outcomes among T2DM patients. To the best of our knowledge, this is the first study, which examined this association among T2DM patients in Gaza Strip, Palestine. Our study was conducted to identify major dietary patterns among T2DM patients and its association with depression.

Study population: This cross-sectional study was conducted in the years 2017 and 2018, among a representative sample of Palestinian T2DM patients, selected by a cluster random sampling method. A total of 480 patients, aged 20 to 64 years attending primary healthcare centers (PHCs) in Gaza Strip, Palestine, were included in the study. Gaza Strip is divided into five smaller governorates. The total number of PHCs in Gaza Strip is fifty-four [23]. The PHCs were distributed in each governorate as follows (Eight, fourteen, sixteen, eleven and five PHCs respectively). The study sample was distributed according to the number of PHCs in each governorate as follows (71,124, 142, 98 and 45 patients respectively). Pregnant, lactating women and patients with other types of serious illness such as cancer or acute myocardial infarction were excluded from the study.

Assessment of dietary patterns: Data about dietary patterns was obtained using a validated semi-quantitative food frequency questionnaire (FFQ). The FFQ in our study contains a list of 98 food items; it was developed and validated among Palestinian population in 2014 [24]. All participants were asked to estimate the number of times per day, week or month he/she consumed these particular food products and the amount usually eaten per food item by making comparisons with the specified reference portion. The answer categories ranged from one to seven times including never, one to three times per month, one to two times per week, three to four times per week, five to six times per week, one time per day or two to three times per day. Dietary intakes were converted into grams per day. In addition, dietary patterns were obtained using factor analysis after the classification of food items into 25 groups [12].

Assessment of depression status: The depression, anxiety, stress scales (DASS, 21-items) questionnaire was used to measure the score of depression [25]. In the short form of the DASS questionnaire, for each subscale of depression, anxiety and stress, seven questions have been presented. Participants responded to each question based on to what extent that item applied to them during the last week. The answer categories ranged from zero to three times (Four categories) including did not apply to me at all, applied to me to some degree or some of the time, applied to me to a considerable degree or a good part of time, and applied to me very much or most of the time, respectively. The scores on the DASS-21 were multiplied by two to calculate the final score. Based on the total score of depression, the patients were divided into five groups: Normal (0 - 9), mild depression (10 - 13), moderate depression (14 - 20), severe depression (21 - 27), and very severe depression (28+). Finally, we divided all patients into two groups: Healthy (Depression scale, 7-items scores < 10), and depressed (Depression scale, 7-items scores ≥ 10) [26].

Assessment of anthropometric measurements: Height (m), weight (kg), and waist circumference (WC) were measured according to standard [27]. In addition, the body mass index (BMI) was calculated by dividing weight in kilograms by the square of height in meters.

Assessment of other variables: Additional information regarding demographic, socioeconomic and medical history variables was obtained with an interview-based questionnaire. Furthermore, data on physical activity was collected using the international physical activity questionnaire (IPAQ short version) [23]. Pilot study was carried out on thirty patients to enable the researcher to examine the tools of the study. The questionnaire and data collection process were modified according to the result of the pilot study. The data was collected by ten qualified data collectors (Five nurses and five nutritionists), who were given a full explanation and training by the researcher about the study.

Statistical analysis: All statistical analysis was performed using SPSS version 20. In our study, the major dietary patterns were obtained by factor analysis after classification of the 98 food items in the FFQ into 25 food groups [12]. The food grouping was based on the similarity of nutrient profiles and was somewhat similar to that used in previous studies [28] [29]. A varimax rotation was used, factor loads under 0.2 were excluded [30]. For determining the number of factors, we considered eigenvalues > 1, the scree plot, and the interpretability of the factors. The adequacy of data was evaluated based on the value of Kaiser-Meyer-Olkin and Bartlett's test. In the present study, the Kaiser-Mayer-Olkin coefficient, was calculated and the obtained value was 0.719. Then, the obtained dietary patterns scores are expressed as tertiles. The chi-square test was used to determine the significant differences between different categorical variable. The differences between mean were tested by independent samples t-test and one-way ANOVA. Finally, the odds ratio (OR) and confidence interval (CI) for the depression scale across tertiles categories of dietary pattern scores were tested by binary logistic regression. P value less than 0.05 was considered as statistically significant.

A total of 480 patients with T2DM aged 20 to 64 years old (59.8% females, 40.2% males) were included in present study. The characteristics of the study population by sex are shown in Table 1. The findings of this study revealed that the

Data are expressed as means ± SD for continuous variables and as percentage for categorical variables. The differences between means were tested by using independent sample t test. The chi-square test was used to examine differences in the prevalence of different categorical variable. P value less than 0.05 was considered as statistically significant. SD, stander deviation.

mean age (years) for male patients was 49.0 ± 10.6 vs. 49.1 ± 11.1 for females. In addition, for the following variables (Educational level, employment history, monthly income, enough income, history of smoking, female menopausal status, dietary supplement use, WC, BMI, and physical activity level (Total MET)), the difference was statistically significant in both sexes (P value < 0.05). With respect to depression scale, Table 2 shows that 29.0% of T2DM patients had depression (58.3% females, 41.7% males). The prevalence of mild, moderate, severe, and very severe depression among T2DM patients was 11.7%, 8.5%, 6.7%, and 2.1%, respectively. Furthermore, for severe depression the difference was statistically significant in both sexes (P value = 0.038). Then, we entered food consumption data for the 25 food groups [12], into the SPSS for factor analysis. Table 3 shows the scree plot of eigenvalues, which indicated two major patterns: 1) The Western dietary pattern characterized by a high intake of refined grains, red meat, organ meat, fast foods, eggs, high-fat dairy products, hydrogenated fats, sugar, sweets & desserts, snacks, and soft drinks as well as a low intake of beans and legumes; 2) The grains-vegetables, and fruits dietary pattern characterized by a high intake of whole grains, potatoes, vegetables, tomatoes, fruits, vegetable oils, olive, and beverages. The factor loading matrixes for the two major patterns are shown in Table 3. These two major dietary patterns explained 13.3% and 22.8% of the total variance, respectively. In the present study, the dietary patterns scores were classified as tertiles. Then, the characteristics of the study population were evaluated within the tertiles. Table 4 shows that patients in the lowest tertile (T1) of the grains-vegetables, and fruits dietary pattern were younger (46.91 ± 11.2 vs. 50.34 ± 9.87 years, P value <0.05), had low educational level (37.0% vs. 27.8%, P value < 0.001), had low monthly income (33.6% vs. 33.2%, P value < 0.001), were premenopausal (37.2 vs. 29.1, P value < 0.05), had a lower WC (101.9 ± 17.1 vs. 106.6 ± 17.4 cm, P value < 0.001), had a lower BMI (29.44 ± 6.2 vs. 30.85 ± 6.1 kg/m², P value < 0.05), and were more frequently physically active (1487.2 ± 1567 vs. 1173.0 ± 1276 Total MET, P value < 0.001) compared to those in the highest tertile (T3). On the other hand, the distribution of patients with regard to age, monthly income, enough income, history of smoking, diabetes duration, female menopausal status, WC, BMI, and physical activity (Total MET) was significantly different across the tertiles of the Western dietary pattern (P value < 0.05 for all). Finally, we computed the OR and CI for the depression scale across tertiles categories of dietary patterns scores (Table 5). Our findings demonstrate that, after adjustment for confounding variables, patients in the lowest tertile (T1) of the grains-vegetables, and fruits dietary pattern characterized by a high intake of whole grains, potatoes, vegetables, tomatoes, fruits, vegetable oils, olive, and beverages had a lower odds for depression (OR 0.763 95% CI (0.667 - 0.871), P value = 0.001); where as a higher odds for healthy (OR 1.443 95% CI (1.131 - 1.839), P value = 0.004), compared to those in the highest tertile (T3). No significant association was found between the Western dietary pattern with depression.

Depression is the leading cause of disability worldwide, and is a major contributor to the overall global burden of disease [1]. In addition, individuals with DM

Data are expressed as means ± SD for continuous variables and as percentage for categorical variables. The differences between means were tested by using independent sample t test. The chi-square test was used to examine differences in the prevalence of different categorical variable. P value less than 0.05 was considered as statistically significant. DS: depression scale; SD: stander deviation; (0): Did not apply to me at all; (1): Applied to me to some degree, or some of the time; (2): Applied to me to a considerable degree or a good part of time; (3): Applied to me very much or most of the time.

have been reported as having a higher prevalence of depression compared to those without the condition [7]. To the best of our knowledge, this is the first study which describes the dietary patterns among T2DM patients and its association with depression in Gaza Strip, Palestine. Our findings demonstrate that, based on the depression, anxiety, stress scales (DASS, 21-items), 29.0% of T2DM patients had depression, (58.3% females, and 41.7% males). Furthermore, the prevalence of mild, moderate, severe, and very severe depression was 11.7%, 8.5%, 6.7%, and 2.1%, respectively. In Palestine, psychological distress is high,

ANOVA test was used for quantitative variables and chi-square for qualitative variables. P value less than 0.05 was considered as statistically significant. SD, stander deviation.

The OR and CI for depressed (Depression scale, 7-items scores ≥ 10), and healthy (Depression scale, 7-items scores < 10) across tertiles categories of dietary pattern scores were tested by binary logistic regression. *Adjusted for age, educational level, family size, monthly income, enough income, history of smoking, diabetes duration, female menopausal status, WC (cm), BMI (kg/m²), and physical activity (Total MET). P value less than 0.05 was considered as statistically significant. OR, odds ratio; CI, confidence interval.

quality of life is very low, and daily life of Palestinians is constantly under threat which make Palestinians more vulnerable to stress and depression [4]. Sweileh et al. [4], show that the prevalence of depression was 40% among T2DM patients in north West-Bank of Palestine. Moreover, the data regarding the prevalence of depression among patients with T2DM in Gaza Strip are scarce, which made the comparison of our results with previous studies difficult. According to previous studies, the prevalence of depression in T2DM patients varies from 30 to 83 percent [31] [32]. The results of our study support these findings. In the current study, the high prevalence of depression may be related in part to the burden of living with DM and its complications which may plays an important role in the etiology of depression [33]. Furthermore, the duration of DM is also associated with development of depression in this study (35.8% of the patients had DM for more than 10 years), and has been reported by other researchers as well [34]. Increased duration of DM is known to significantly increase the risk of developing complications and health care expenditures; as a result, such patients are more prone to develop psychological illnesses [35]. Moreover, the exact mechanisms underlying the relationship between depression and DM have not been established yet [36]. Suggested mechanisms by which anxiety and depression increased the risk of DM are alterations in insulin signaling in the brain, activation of proinflammatory pathways, or distress-induced up regulation of counter regulatory hormone systems like glucocorticoid [37] [38], which could impair insulin sensitivity. Another possible mechanism may be related to the effect of depression on behaviors and lifestyle. It has been shown that depressed persons are more likely to be physically inactive and central or general obese and have unhealthy eating habits, poor diet, and sedentary lifestyle [39], which is associated with increased risk of coronary heart diseases and DM. Additionally, our results showed that the depression is more prevalent among women (58.3%) than among men (41.7%) which is a common finding in previous studies [40] [41]. This is may be due to that, women is influenced by adverse experiences, sociocultural roles, psychological attributes, biological factors including hormones and poor social support, allows them to be more emotional and extroversive in nature, in comparison to men [42] [43].

On the other hand, in the present study two major dietary patterns were identified by factor analysis: 1) The Western dietary pattern characterized by a high intake of refined grains, red meat, organ meat, fast foods, eggs, high-fat dairy products, hydrogenated fats, sugar, sweets & desserts, snacks, and soft drinks as well as a low intake of beans and legumes; 2) The grains-vegetables, and fruits dietary pattern characterized by a high intake of whole grains, potatoes, vegetables, tomatoes, fruits, vegetable oils, olive, and beverages. The main findings of this study indicate that, after adjusting for the potential confounders, patients in the lowest tertile (T1) of the grains-vegetables, and fruits dietary pattern had a lower odds for depression; where as a higher odds for healthy. In fact, limited studies were found in the literature to evaluate the relationship between dietary patterns and depression among T2DM patients. Most studies have examined the associations between individual foods or food groups and nutrients and depression [21] [22], instead of focusing on dietary patterns, which is the most sensible approach to test the role of the overall diet on nutrition-related diseases. Although dietary patterns and diet quality are a novel area of attention in the lifestyle-mental health research field, there is no study in this field among DM patients.

The grains-vegetables, and fruits dietary pattern in our study may be associated with a lower prevalence of depression; where as a higher odds for healthy. No significant association was found between the Western dietary pattern with depression. Akbaraly et al. [44], in a cohort study showed that whole food pattern characterized by a high intake of vegetables, fruits, and fish was inversely associated with depression, while processed food pattern characterized by a high intake of sweetened desserts, fried food, processed meat, refined grains, and high-fat dairy products showed a direct association with depression. In this population, the prevalence of DM was significantly higher among depressed persons compared with non-depressed ones [44]. In another study, Baharzadeh et al. [2], show that, a high intake of total fruits-vegetables, total vegetables, total fruits, citrus, other fruits and green leafy vegetables was independently related to a lower odds of depression. Additionally, Liu X. et al. [45], in a meta-analysis study indicated that intakes of both fruits and vegetables were inversely related to the risk of depression. The results of our study support these findings. Several studies showed higher consumption of unhealthy foods and lower consumption of fruits and vegetables in depressed mood [46]. Sánchez-Villegas et al. [47], demonstrated an inverse relationship between the adherence to Mediterranean diet and depression, while consumption of fast foods and commercial baked goods increased the risk of depression among Spanish. Contrary to these studies, another study among Japanese did not show any significant association between depression and various dietary patterns [48].

In our study, the inverse association between the grains-vegetables, and fruits pattern with depression could be attributed to pattern’s healthy ingredients including micronutrients, phytochemicals, antioxidants, vitamins, dietary fibers, magnesium and anti-infammatory components. These nutrients have been independently associated with reduced risks of depression [49]. Antioxidants such as carotenoids, vitamin C, and vitamin E might prevent depressive symptoms [50]. High intake of B vitamins such as folic acid has been associated with lower risk of depression [51]. Fruits and vegetables also supplies dietary fiber whose role in improving mood has been suggested [52]. Green leafy vegetables are good sources of folate and magnesium, which are important in the prevention of depression [53]. Folate is involved in the metabolism of monoamines such as serotonin in the brain [54]. Reduced synthesis of serotonin results to depressed mood [55]. In magnesium deficiency, high levels of calcium and glutamate reduce synaptic function and lead to depression [56]. In addition, lower levels of C-reactive protein, a marker of low-grade inflammation, has been reported in magnesium sufficiency [57]. In our study, the grains-vegetables, and fruits pattern has been shown to be the healthiest dietary pattern and is quite close to that diet, which generally recommended as a healthy dietary pattern with low in animal foods, saturated fat, trans fat, cholesterol and simple sugar, which may be associated with a higher risks of diabetes and depression [58]. Actually, the relationship between dietary patterns with depression among T2DM patients need more studies in the future. The main limitations of this study is its cross sectional design; the causal relationship could not be determined, and it limits the generalizability of our results. In addition, the possibility of recall bias and misreporting by using FFQ assessment of dietary patterns are other limitations. The main strength of our study was its being the first study, which shows the dietary patterns among T2DM patients and its association with depression in Gaza Strip, Palestine, and its large sample size.

We conclude that, the grains-vegetables, and fruits dietary pattern may be associated with a lower prevalence of depression, and has been shown to be the healthiest dietary pattern among T2DM patients. Further future studies are required to confirm these findings.

The study protocol was approved by the Ethics Committee of Tehran University of Medical Sciences (Code: IR.TUMS.REC.1394.58) and by the Palestinian Health Research Council (Helsinki Ethical Committee of Research PHRC/HC/60/15). In addition, written informed consent was also obtained from each participant.

Not applicable.

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

AHB, MS, AA and HF participated in the design of the study, data collection, performed the statistical analysis and drafted the manuscript. KD and AHB supervised the study and participated in draft review. All authors have read and approved the final version of the manuscript and agree with the order of presentation of the authors.

The authors thank the staff and participants in the Palestinian Ministry of Health, PHCs for their important contributions to the study.

The authors declare that they have no competing interests.

el Bilbeisi, A.H., Srour, M., el Afifi, A., Farag, H.A.M. and Djafarian, K. (2019) Dietary Patterns and Their Association with Depression among Type 2 Diabetes Patients in Gaza Strip, Palestine. Food and Nutrition Sciences, 10, 533-550. https://doi.org/10.4236/fns.2019.105039

DASS: Depression, anxiety, stress scales;

SPSS: Statistical package for the social sciences;

T: Tertile;

OR: Odds ratio;

CI: Confidence interval;

DM: Diabetes mellitus;

T2DM: Type 2 diabetes mellitus;

PHCs: Primary health care centers;

FFQ: Food frequency questionnaire;

WC: Waist circumference;

BMI: Body mass index;

IPAQ: International physical activity questionnaire;

MET: Metabolic equivalents.