Migraine is a complicated brain disorder which affects approximately 12% of the population, whilst the presence of migraine headaches is typically higher in women than men. Several nutrients are posited to improve headache severity. The aim of this study was to investigate the relationship between dietary nutrients patterns and intensity and duration of migraine headaches. This cross-sectional study was conducted with 266 women. Physical activity, general characteristics, anthropometric values, and dietary intake were collected. Nutrient patterns were derived using principal component analysis (PCA) with varimax rotation, and based on the correlation matrix, after completing the 147 item semi-quantitative food frequency questionnaire (FFQ), we discerned 3 nutrients patterns. The validated Migraine Disability Assessment (MIDAS) questionnaire and Visual Analog Scale (VAS) was used for assessing migraine intensity. Duration of headaches were defined as the hours the participants had headache in one day in last month. Chi-square, ANOVA, and linear regression tests were used to interrogate the data. Linear regression showed there was a positive relationship between second pattern rich in vitamin B1, carbohydrate, vitamin B3, vitamin B9, protein, and total fiber and VAS and pain duration. Furthermore, there was an inverse relationship between MIDAS and the first nutrient pattern characterized by dietary calcium, vitamin A, vitamin K, vitamin C, vitamin B6, vitamin B2, and Magnesium among women. Furthermore, there was a positive significant association between vitamin D and B12 (pattern 3) and headache duration. Dietary nutrients patterns should be monitored closely in individuals suffering with migraine.

Background/objectivesPolycystic ovary syndrome (PCOS) is a prevalent endocrine disorder in women that can alter blood glucose, lipid profile and sexual hormonal level. Therefore, the evaluation of potential therapeutic agents in this population is important. The aim of the study was to determine the effects of cinnamon, ginger, and metformin intake on improvement of sex hormones level, metabolic health (lipid profiles, insulin level and fasting blood glucose) and anthropometric indices (weight, body mass index (BMI), etc.) in women with PCOS.MethodsA total of 100 women with PCOS were randomly assigned to one of the following four groups: cinnamon (500 mg of cinnamon, 3 × day), ginger (500 mg of ginger, 3 × day), metformin (500 mg of metformin 3 × day) or placebo. However, 17 participants were excluded for various reasons and consequently, 83 participants were considered for analysis. Sexual hormones, anthropometrics, glycemic and lipid markers were evaluated before and after the 8-week intervention.ResultsWeight and BMI decreased significantly in all intervention groups. The consumption of metformin and cinnamon significantly decreased insulin resistance (HOMA-IR) in comparison to the placebo and ginger groups (P < 0.05). Moreover, a significant decrease in FSH (follicle-stimulating hormone) and LH (Luteinizing hormone) levels were observed in the ginger compared to the placebo group. While metformin and cinnamon significantly lowered testosterone levels (P < 0.05), none of the groups experienced a significant change in DHEA (dehydroepiandrosterone).ConclusionOur findings suggest that in women with PCOS, cinnamon supplementation causes similar reductions in insulin resistance and testosterone level to that of metformin. Ginger supplementation decreased FSH and LH, hormonal effects not seen following metformin consumption. Overall, cinnamon and ginger supplementations may potentially be used as alternative treatment in women with PCOS.Clinical trial registration[https://www.irct.ir/trial/28548], identifier [IRCT20171227038105N1].

A series of recent studies have indicated that the Caveolin-1 (CAV-1) gene variant may be associated with metabolic and inflammatory markers and anthropometric measures. Furthermore, it has been shown that a plant-based dietary index (PDI) can elicit a positive impact on these metabolic markers. Therefore, we sought to examine whether PDI intakes may affect the relationship between CAV-1 (rs3807992) and metabolic factors, as well as serum inflammatory markers and anthropometric measures, in women with obesity. This current study consisted of 400 women with overweight and obesity, with a mean (SD) age of 36.67 ± 9.10 years. PDI was calculated by a food frequency questionnaire (FFQ). The anthropometric measurements and serum profiles were measured by standard protocols. Genotyping of the CAV-1(rs3807992) was conducted by the PCR–RFLP method. The following genotypic frequencies were found among the participants: GG (47.8%), AG (22.3%), and AA (2.3%). In comparison to GG homozygotes, risk-allele carriers (AA + AG) with higher PDI intake had lower ALT (P: 0.03), hs-CRP (P: 0.008), insulin (P: 0.01) and MCP-1 (P: 0.04). Furthermore, A-allele carriers were characterized by lower serum ALT (P: 0.04), AST (P: 0.02), insulin (P: 0.03), and TGF-β (P: 0.001) when had the higher following a healthful PDI compared to GG homozygote. Besides, risk-allele carriers who consumed higher unhealthful PDI had higher WC (P: 0.04), TC/HDL (P: 0.04), MCP-1 (P: 0.03), and galactin-3 (P: 0.04). Our study revealed that A-allele carriers might be more sensitive to PDI composition compared to GG homozygotes. Following a healthful PDI in A-allele carriers may be associated with improvements in metabolic and inflammatory markers and anthropometric measures.

The resting metabolic rate (RMR) represents the largest component of total daily energy expenditure. The sale of ultra-processed foods (UPF) is increasing globally; however, UPF can have many adverse effects, including increasing inflammatory markers and altering RMRs. This cross-sectional study included 285 healthy overweight and obese women. Anthropometric measurements were evaluated using a bioelectrical impedance analyzer InBody 770 scanner. High-sensitivity C-reactive protein (hs-CRP), plasminogen activator-1 (PAI-1), monocyte chemoattractant protein (MCP-1), and interleukin-1 beta (IL-1β) blood levels were measured after a 12-h fasting. Indirect calorimetry was used to evaluate the RMR by using the Weir equation, and RMR deviation (RMR estimated - RMR actual), RMR per body mass index (BMI), and free fat mass (FFM) were estimated. A validated food frequency questionnaire (FFQ) was used, and seven groups of UPFs were extracted based on the NOVA method. A negative association between the RMR [β = −0.159, 95% confidence interval (CI): −0.471, −0.052, P = 0.044], RMR per BMI (β = −0.014, 95% CI: −0.025, −0.006, P = 0.036), and RMR per FFM (β = −0.241, 95% CI: −0.006, −0.000, P = 0.041) using the NOVA score was observed after adjusting for confounders. This association disappeared after inclusion of each inflammatory marker. All the markers may inversely mediate the relationship between the mentioned variables and the NOVA score. hs-CRP and MCP-1 also had a negative effect on the relationship between the NOVA score and RMR deviation. Finally, UPF intake is likely related with the RMR, mediated through changes in the production of hs-CRP, PAI-1, MCP-1, and IL-1β.

Aims: Energy density (ED) is known to influence body composition (BC). Indeed, consumption of high ED foods can increase body fat mass (BFM) and inflammatory markers. We sought to assess the mediatory role of high-sensitive-C-reactive protein (hs-CRP), transforming growth factorβ (TGF-beta), and plasminogen activator inhibitor-1 (PAI-1) on the relationship between ED and BC in women with overweight/ obesity.Methods: This was a cross-sectional study consisting of 391 women. Body composition (Bioelectrical Impedance Analysis) and a food frequency questionnaire (FFQ) was used to assess the BC and food intake of individuals. Blood samples and serum level of hs-CRP, PAI-1, and TGFβ were collected. ED per one gram of foods was calculated and divided to quartiles. Linear logistic regression was used to investigate the association between BC across quartiles of ED intake.Results: Total body water (TBW), fat free mass (FFM), visceral fat area (VFA), and fat free mass index (FFMI) appeared to be mediated by hs-CRP across ED quartiles. TBW, FFM with PAI-1, bone mineral content (BMC) with PAI-1 and TGF-beta, and skeletal lean mass (SLM) were inversely associated with hs-CRP, respectively. Fat trunk, TBW, BFM, FFM, SLM, waist circumference (WC), FFMI, and FMI were positively mediated by TGF-beta with increasing ED food intakes. Fat trunk, BFM, SLM, WC, FFMI and FMI were positively mediated by PAI-1.Conclusions: Most BC subcategories were positively associated with higher ED intake, mediated by increasing serum levels of PAI-1 and TGF-beta. Moreover, higher serum hs-CRP levels may be related to body fat and water alteration concomitant to a higher ED intake. How to cite this article: Bahrampour N, Mirzababaei A, Shiraseb F, Clark CCT, Mirzaei K. The mediatory role of inflammatory markers on the relationship between dietary energy density and body composition among obese and overweight adult women: A cross-sectional study. Int J Clin