Aluminum (Al) is widely found in the nature. Although the relation between Al and neurodegenerative diseases is still controversial, Al is related with many brain diseases including Alzheimer's disease, Parkinson's disease, and multiple sclerosis. Al exposure occurs mainly through environment, occupational, and dietary factors for humans. Al exposure with diet can be through foods, food additives, water, and contamination of Al equipment/utensils. The aim of this review is to summarize various hypotheses, which link Al and neurodegeneration, and to determine the roles of Al exposure through different sources including diet, environment, and occupation. Future studies should be done in vulnerable subgroups of population including children, patients receiving antacid or Al-containing pharmeteucials on a daily basis, patients with reduced renal function, and patients on parenteral nutrition regimens that are likely to be affected by possible adverse health effects of Al. In addition, gender, age, and Al interactions need to be determined. One of the most important challanges in future epidemiological studies is to determine which variables should be controlled. In addition, experimental studies should be more focused and translational. In this context, exposure dose, dose–response effects, and time lapse between exposures and cognitive assessments are very important.
This study aimed to investigate whether there was any difference in eating pattern, abnormal eating behaviour, obesity and the number of food addiction symptoms according to food addiction presence. A total sample of 851 healthy subjects living in Ankara (n = 360 male, n = 491 female) aged 19–65 years were included in this cross-sectional survey. Data on demographic information, 24-hour dietary recalls, Yale Food Addiction Scale (YFAS), Eating Attitudes Test-26 (EAT-26), and anthropometric measurements were collected through face-to-face interviews. Overall, 11.4% of participants were identified as “food addicted” (F: 13.0%; M: 9.2%). Subjects meeting criteria for ‘food addiction' had higher body mass index (35.1% were obese and 3.1% were underweight), compared to subjects without food addiction (13.1% were obese and 10.2% were underweight) (p<0.05). Abnormal eating attitudes estimated with EAT-26 were determined as 45.5% in males, 37.5% in females and 40.2% in total, among subjects with food addiction. Daily energy, protein and fat intakes were significantly higher in food addicted females, compared to non-addicted females (p<0.05). Participants with food addiction reported significantly more problems with foods, which contain high amounts of fat and sugar, compared to the participants without food addiction. Food addiction behaviour should be considered as a part of efforts towards reducing food related problems involving obesity.
The use of the nutrition facts label has been associated with healthy eating behaviors for adults. However, the relationship between nutrition facts label use and overall diet quality is not well known in young adults, a vulnerable group that acquire lifelong eating behaviors during this period of life. This study aimed to assess if the use of information on the nutrition facts label is associated with a higher diet quality in young adults. In this cross-sectional study, 958 university students aged 18–34 years were recruited. Nutrition facts label use was recorded. Dietary intake was assessed using 24-h dietary recall. Healthy Eating Index-2005 (HEI-2005) scores were calculated. HEI-2005 score was significantly associated with using nutrition facts label (p < 0.001). The mean total HEI-2005 score was 60.7 ± 10.11, 62.4 ± 11.43 and 67.1 ± 12.23 respectively for never, sometimes and everytime users of nutrition facts label (p < 0.001). Sub-group scores of HEI-2005 for total fruits, whole fruits, total vegetables, whole grains, milk, oils, saturated fat, and calories from solid fat, alcohol and added sugar (SoFAAS) were significantly higher in regular nutrition facts label users (p < 0.05, for each). This study showed that young adults who regularly use the nutrition facts label have a higher diet quality.
Background: Yale Food Addiction Scale (YFAS) was established to identify individuals exhibiting signs of addiction towards certain types of food. This study aimed to develop a Turkish version of the Yale Food Addiction Scale and test its psychometric properties. Methods: The backward translation techniques were used to develop Turkish versions of the YFAS, and its reproducibility was assessed. Turkish version of the YFAS was administered to a total of 1033 participants (439 men and 594 women), aged 19–65 years. Exploratory factor analysis and confirmatory factor analysis were used to examine the factorial structure of the tool. Construct validity was assessed by principal component factor analysis with varimax rotation. Reliabilities were estimated with Cronbach’s alpha coefficient. The criterion-related validity was tested by the administration of Eating Attitude Test-26 (EAT-26) to all participants. Results: The primary factor loadings for seven items were ranged between 0.45 and 0.79, and no items cross-loaded onto other factors. The fit indices showed that eight items of the YFAS were a good representation of the item responses and each item loaded significantly on the specified factor (p < 0.001 for each). YFAS subscales had a high internal consistency and test–retest reliability. The criterion-related validity of the tool showed a positive relationship with scales of the EAT-26. Conclusion: Current study suggested that the Turkish version of the YFAS is a reliable, valid, and useful tool for assessing the signs of food addiction in a non-clinical sample.
Plate colour was previously shown to alter the amount of food consumption due to its environmental effect on food intake. However, different studies have indicated that the effect of plate colour cannot be generalized. In light of this finding, the main objective of this study was to determine whether food consumption during an open buffet meal was different when using same-sized white, red or black plates. This study was a crossover study conducted with 54 female participants aged 18–30 years with normal BMIs. On experimental days, participants ate a standard breakfast and were then randomly assigned to eat ad libitum lunch (pasta with tomato sauce and soft drinks) using white, red or black plates. Visual analogue scale (VAS) scores on satiety outcomes were measured for all meals. Energy and macronutrient intake during lunch was recorded. The results showed that plate colour exerted a significant effect on food intake during the test days (p = 0.021). The average total energy intake with red (1102.16 ± 47.12 kcal, p = 0.05) and black plates (1113.19 ± 47.12 kcal, p = 0.034) was significantly increased when compared to that with white plates (945.72 ± 47.12 kcal). There were no differences between red and black plates (p = 0.985). Overall, mean VAS scores did not indicate a significant difference between the groups. Plate colour may be a crucial determinant of energy intake.