Association between hedonic hunger and body mass index in adults: A systematic review and meta-analysis.

Hedonic hunger has been proposed as one of the important causes of obesity in recent years. In the present study, we systematically reviewed and meta-analyzed the relationship between hedonic hunger and body mass index (BMI) in healthy adults. PubMed, Web of Science, and Scopus were searched until January 19, 2023. All English-language original observational studies conducted on healthy adult subjects, which used the Power of Food Scale (PFS) to evaluate hedonic hunger were included. Quality assessment was done using the Joanna Briggs Institute checklist, and StataMP-17 software was used for the meta-analysis. After screening, 25 observational studies with a total of 14457 participants were included. Twenty-four studies were cross-sectional, and one was a cohort study. Twenty-two studies examined both sexes, two studies were conducted only on women, and one study conducted analysis separately on men and women. The results of the meta-analysis showed a positive and significant association between hedonic hunger and BMI with a small effect size (r = 0.13, 95% CI: 0.08, 0.18). In addition, a positive significant association was observed between subscales of PFS ("food available", "food present", and "food tasted") and BMI. The association between hedonic hunger and BMI was not affected by the results of meta-regression analysis of %female, mean age & BMI, and sample size. In conclusion, there was a positive significant association between hedonic hunger and BMI, but the effect size was weak. Considering the low quality of included studies, we need longitudinal design studies considering the association between these two variables as a primary outcome for a more accurate conclusion.

Night eating habits, sleep quality, and depression, are they associated with vitamin D status?

INTRODUCTION: In addition to the well-established roles of vitamin D on bone health, it also appears to be an effective factor on mental health and circadian behaviors, that include eating and sleeping habits. OBJECTIVE: This study aimed to assess the association between vitamin D status with night eating habits, sleep quality and depression in female college students. MATERIALS AND METHODS: This cross-sectional study studied healthy female students from Shiraz University of Medical Sciences, Iran. Demographic and anthropometric information as well as data on sleep quality and depression were recorded and serum levels of 25-hydroxyvitamin D were measured. A 3-day food record questionnaire was completed to assess night eating habits. Data analyses were undertaken using Chi-square, Mann-Whitney U test and logistic regression. A P-value of <0.05 was considered significant. RESULTS: The study participants comprised of 272 female students with median (Inter Quartile Range) age of 22 (21-24) years. The majority of the participants (82.3 %) were classified as night eaters, who had higher rates of poor sleep quality compared to non-night eaters (P < 0.05). With 1 ng/ml increase in serum levels of 25-hydroxyvitamin D, the odds of being a night eater fell by 3 % (OR = 0.97; 95%CI = 0.95, 0.99), and the odds of having depression or poor sleep quality decreased by 5 % (OR = 0.95; 95%CI = 0.93, 0.97) and 6 % (OR = 0.94; 95%CI = 0.91, 0.97), respectively. CONCLUSION: There was an inverse association between serum 25-hydroxyvitamin D level with night eating habits, depression and poor sleep quality. This association needs be confirmed using cohort and interventional studies.

Structural equation modeling of direct and indirect associations of social media addiction with eating behavior in adolescents and young adults.

Social media (SM) exerts important effects on health-related behaviors such as eating behaviors (EB). The present study was designed to determine the direct and indirect association of SM addiction with EB in adolescents and young adults through body image (BI). In this cross-sectional study, 12-22 years old adolescents and young adults, with no history of mental disorders or psychiatric medications usage were studied through an online questionnaire shared via SM platforms. Data were gathered about SM addiction, BI, and EB in its sub-scales. A single approach and multi-group path analyses were performed to find possible direct and indirect associations of SM addiction with EB through BI concerns. Overall, 970 subjects, 55.8% boys, were included in the analysis. Both multi-group (ß = 0.484, SE = 0.025, P < 0.001) and fully-adjusted (ß = 0.460, SE = 0.026, P < 0.001) path analyses showed higher SM addiction is related to disordered BI. Furthermore, the multi-group analysis showed one unit increment in SM addiction score was associated with 0.170 units higher scores for emotional eating (SE = 0.032, P < 0.001), 0.237 for external stimuli (SE = 0.032, P < 0.001), and 0.122 for restrained eating (SE = 0.031, P < 0.001). The present study revealed that SM addiction is associated with EB both directly and also indirectly through deteriorating BI in adolescents and young adults.

Developing a Model for Prediction of Serum 25-Hydroxyvitamin D Level: The Use of Linear Regression and Machine Learning Methods.

OBJECTIVE: Because vitamin D status affects many organs and tissues of the body, it is important to determine the factors affecting it. The purpose of this study was to develop a model for predicting the serum 25-hydroxyvitamin D [25(OH)D] level in healthy young adults. METHOD: This cross-sectional study was conducted on 201 healthy individuals aged 20 to 40 years old in Shiraz, Iran. Data regarding demographic characteristics, vitamin D intake through supplements, and sun exposure habits were gathered. Serum 25(OH)D concentration was also measured. Data were analyzed with R software using linear regression and different machine learning methods such as conditional tree, conditional forest and random forest. RESULTS: Based on the linear regression, male sex (p < 0.001), taking 50,000 IU vitamin D3 supplement monthly (p < 0.001), and lower waist circumference (p = 0.018) were identified as effective factors in increasing serum 25(OH)D levels. According to the conditional tree, taking 50,000 IU vitamin D3 supplement monthly (p < 0.001) and sex (p < 0.001) were two main factors in the classification of individuals in terms of serum 25(OH)D levels. Besides, conditional forest and random forest results showed that the most important variable was taking 50,000 IU vitamin D3 supplement monthly. CONCLUSIONS: Supplement use is the first and most important predictor of 25(OH)D levels and other factors, including sex and waist circumference, are ranked thereafter, and the importance of these factors is greater in those who do not take vitamin D3 supplements.

Did Iranians change their eating behavior following COVID-19 outbreak?

BACKGROUND: Significant lifestyle changes have been reported after COVID-19 outbreak. The present study aimed at investigating changes in dietary habits in response to the COVID-19 outbreak in an Iranian population sample. MATERIALS AND METHODS: In this cross-sectional study, the dietary habits of Iranian adults were assessed before and during the COVID-19 outbreak. Consumption of different food groups such as meats, dairy, fruits, vegetables, seeds, and nuts was assessed using a digital questionnaire which was shared on social media platforms. For the statistical analysis, the Wilcoxon signed-rank test was used. RESULTS: In this online survey, 1553 questionnaires were completed. The results showed that the reported consumption of protein-rich foods increased (P < 0.05), but fish and dairy consumption showed a significant reduction (P = 0.006 and <0.001, respectively). There was a significant reduction in reported fast-food consumption (P < 0.001). Fruits and vegetables (P < 0.001), natural fruit juices (P < 0.001), and water (P < 0.001) were consumed more frequently. Individuals also consumed more vitamin and mineral supplements (P < 0.001) including those containing Vitamin D. CONCLUSION: During the COVID-19 pandemic, participants reported a significant change in their dietary habits and intake of supplements. Higher intakes of meats, protein-rich foods, fruits, vegetables, and nutritional supplements and lower intakes of fish, dairy, and fast foods were reported.

The effects of cashew nut intake on lipid profile and blood pressure: A systematic review and meta-analysis of randomized controlled trials.

BACKGROUND: Dyslipidemia and hypertension are important risk factors for cardiovascular disease (CVD). Some studies have suggested that the consumption of nuts may reduce CVD risk. OBJECTIVE: The present systematic review and meta-analysis was conducted to investigate the efficacy of cashew nut consumption on lipid profile and blood pressure. METHODS: PubMed, Embase, Scopus, Web of Science and Cochrane Library were systematically searched to identify randomized control trials (RCTs) examining the effects of cashew nut intake on serum triglycerides (TG), high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C), serum total cholesterol (TC), systolic blood pressure (SBP) or diastolic blood pressure (DBP) until 15 November 2019. A random-effects model was used to pool weighted mean difference (WMD) and 95 % confidence intervals (CI). Potential publication bias was assessed using Egger's test. Sensitivity analysis was performed to assess the impact of each individual study on the pooled results. RESULTS: A meta-analysis on 392 participants showed that cashew nut consumption had no significant effects on lipid profile and DBP. However, there was a significant reduction in SBP (WMD = -3.39, 95 % CI = [-6.13, -0.65], P = 0.01, I2 = 0.0 %) in the group receiving cashew nut compared to the controls. There was no significant publication bias in the meta-analysis. A sensitivity analysis showed that omitting each study did not change the significance of results. CONCLUSION: This meta-analysis demonstrated that cashew nut consumption might reduce SBP but has no effects on lipid profile and DBP.