Association Between the Risk of Multiple Sclerosis and Dietary Proinflammatory/Anti-Inflammatory Food Intake and Dietary Diversity: A Case-Control Study.

A diet rich in proinflammatory components and inflammation are suggested to be significant risk factors for multiple sclerosis (MS). This study aimed to investigate the association between the risk of MS and the inflammatory potential of an individual's diet and dietary diversity through pro-inflammatory/anti-inflammatory food intake score (PAIFIS) and dietary diversity score (DDS). In a hospital-based case-control study, 397 participants, including 197 patients with MS and 200 healthy participants aged over 18 years, were evaluated. The history of smoking, dietary intake, and anthropometric characteristics, including body mass index, waist circumference, total body fat, and fat-free mass were assessed. A validated 160-item semiquantitative food frequency questionnaire was used to calculate the PAIFIS and DDS scores. The mean age of the participants was 32.45 ± 8.66 years, and most were females (274, 79.4%). The PAIFIS score was significantly higher among MS patients than healthy participants (p = 0.001). Between PAIFIS and DDS, only PAFIS was significantly related to MS risk (odds ratio, 1.002; 95% confidence interval, 1.001-1.004; p = 0.001). PAIFIS, as an index of dietary inflammation, can predict MS. Further studies are needed to document these findings.

Adherence to healthy dietary pattern is associated with lower risk of multiple sclerosis.

Background: Different studies have confirmed the role of nutritional factors in the etiology of Multiple sclerosis (MS). However, dietary patterns associated with the risk of MS remain unknown. Objectives: This study aimed to investigate the possible relationship between the existing dietary patterns and the risk of MS. Methods: This case-control study was conducted in Mashhad city, Iran in 2015. In total, 197 MS patients and 200 control subjects (matched in terms of age, gender, education level, and body mass index) were enrolled in this study. The required data were collected through interviews and questionnaire completion. Moreover, the data on the usual dietary intake of each participant during the past year were evaluated using a valid and reliable semi-quantitative food frequency questionnaire (160 items). Logistic regression analysis was applied to discover the associations between dietary patterns and the risk of MS. Results: Four major dietary patterns were identified in this study, including Unhealthy, Western, Healthy, and Traditional. After adjustment for smoking habits, the family history of autoimmune diseases and the duration of breastfeeding, the highest tertile of Healthy dietary pattern was found to be associated with the reduced risk of MS by 74% (OR = .26; P < .001), whereas the Unhealthy dietary pattern was associated with a three-fold increased risk of MS (OR = 3.04; P < .001). However, no correlation was observed between the Western and Traditional dietary patterns and the risk of MS. Conclusion: According to the results of this study, a healthy diet may reduce the risk of MS, whereas an unhealthy dietary pattern may.

Correlation of Body Mass Index and Physical Activity Among 7- to 11-Year Children at Zahedan, Iran.

BACKGROUND: Childhood obesity is currently one of the major concerns in pediatric field. In recent literature, correlation of obesity with some behavioral factors such as physical activity (PA) received attention. OBJECTIVE: The purpose of this study was to determine the relationship between body mass index (BMI) and PA. MATERIALS AND METHODS: This cross-sectional study was carried out in 2012 on 548 randomly selected 7- to 11-year schoolchildren from Zahedan, Iran. The underweight, normal weight, overweight, and obesity status were all based on BMI percentiles for age and sex. Moderate to vigorous PA during the previous 7 days was assessed by a modified version of the Physical Activity Questionnaire for Children. RESULTS: The prevalence of underweight, normal weight, overweight, and obesity among the participants was 18.3%, 47.9%, 11.8%, and 22.1%, respectively. Overweight and obesity were significantly higher among girls than boys. Mean PA score in participants was 2.4 ± 0.5. The results showed the PA score was significantly higher among boys than girls. The PA score had a significant association with BMI ( P = .018), and it was greater in normal participants than in obese participants. CONCLUSION: On the basis of observed data and due to the impact of PA on BMI as an indicator of nutritional status and health, teaching children to have better nutrition and lifestyle changes is very important. Therefore, more studies should focus on childhood obesity prevention programs to prevent nonoverweight children from becoming overweight or obese in the future.