Payam Sharifan; Mahdi Rafiee; Niloofar Shabani; Sara Saffar Soflaei; Susan Darroudi; Mahnaz Amini; Maryam Mohamadi Bajgiran; Zahra Ghazizadeh; shima Dehghani; zahra Aghaee; Mahshid Farsi; Melika Malek; Niloofar Safari; Hamideh Ghazizadeh; Reza Assaran Darban; Mahsa Rastegar Moghaddam Poorbagher; Gordon A. Ferns; Habibollah Esmaily; Majid Ghayour
Abstract
Introduction: Depression, anxiety, and stress have been shown to be associated with quality of life and sleep quality. This association did not examine separately in men and women. In the present study, we aim to examine the association between depression, anxiety and stress with RLS, Epworth, insomnia, ...
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Introduction: Depression, anxiety, and stress have been shown to be associated with quality of life and sleep quality. This association did not examine separately in men and women. In the present study, we aim to examine the association between depression, anxiety and stress with RLS, Epworth, insomnia, apnea, PSIQ and QoL by gender in Mashhad-study data.Methods: A total of 289 individuals (143 male and 146 female) aged 30-50 years old who completed the SUVINA study. They completed the Epworth sleepiness scale (ESS), Pittsburg sleep quality index (PSQI) and quality of life (QoL). For statistical analysis, SPSS software was used for data analysis and p value 0<0.05 was considered significant.Results: Depression scores were correlated with higher scores for RLS, ESS, insomnia, and PSQI in men but inversely related to QoL (P < 0.05). RLS and PSQI was positively correlated with anxiety in women, and subjects without anxiety had lower mean of RLS and PSQI scores than the other anxiety groups (P < 0.05 for both). QoL was conversely associated with anxiety in women. Stress was related with higher scores of RLS, ESS, insomnia and PSQI in men (all P <0.05).Conclusion: OlderAlthough scores for depression, anxiety and stress were higher in women compared to men, the association of depression, anxiety and stress with RLS, quality of life and sleep quality varies between genders and unlike our expectation these disorders were more highly correlated with RLS, QoL and sleep quality in men.
Susan Darroudi; Payam Sharifan; Mahsa Rastegar Moghaddam Poorbagher; Maryam Mohamadi Bajgiran; Sara Saffar Soflaei; Hamideh Ghazizadeh; habibollah esmaily; Niloofar Shabani; Ramin Sadeghi; Vahid Reza Dabbagh Kakhki; Ali Ebrahimi Dabbagh; Mohammad Amin Mohammadi; Mohammad Amin Mohammadi; sara Moazedi; Mahdi Rafiee; reza Assaran Darban; Gordon A. Ferns; Mohsen Mohebati; majid Ghayour
Abstract
Introduction: Metabolic syndrome (MetS) is comprised of a clustering of various cardiovascular risk factors that can also affect bone health. We aimed the associations between MetS and bone mineral density (BMD) and trabecular bone score (TBS) in subjects with abdominal adiposity.Methods: Individuals ...
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Introduction: Metabolic syndrome (MetS) is comprised of a clustering of various cardiovascular risk factors that can also affect bone health. We aimed the associations between MetS and bone mineral density (BMD) and trabecular bone score (TBS) in subjects with abdominal adiposity.Methods: Individuals with body mass index less than 25 kg/m2 were enrolled from the SUVINA study and allocated into two groups according criteria of IDF for metabolic syndrome. TBS T-score and Z/T score of fore skeletal region were measured using dual-energy X-ray absorptiometry (DXA). SPSS software was used for statistical analysis and p value 0<0.05 was considered significant.Results: DXA measurements were made in 201 participants, of whom 75 had MetS and 126 did not. Scores related to the neck of femur and total femur, radius Z-score and TBST-score were lower in subjects with MetS (all P<0.05). Subjects with FBG≥100 had lower TBST-score (p < 0.05). SBP≥130 and DBP≥85 in subjects, led to the lower TBST-score, and lumbar T-score (both P < 0.05). Subjects with (LDL-C≥160 mg/dl) had lower TBST-score, neck of femur Z score, and total femur T/Z scores (all P < 0.05). TBST-score and scores related to neck of femur, and total femur were lower in participants with serum cholesterol≥200 mg/dl (P < 0.05).Conclusion: MetS is negatively associated with TBS and BMD scores. Higher levels of LDL-C and cholesterol were the most associated factors related to TBST-score decrease. The neck of femur was the most vulnerable skeletal against the MetS components increment.
Mina Nosrati; Neda Shakour; Toktam Sahranavard; Fatemeh Sadabadi; Sara Saffar Soflaei; Hamideh Ghazizadeh; Maryam Mohammadi Bajgiran; Mohamad Reza Latifi; Mohammad Amin Mansouri; Mahmoud Ebrahimi; Mohsen Mouhebati; Seyed Hassan Mirshafee; Masoumeh Haghighi; Reza Assaran Darban; Ensieh Akbarpour; Gordon A. Ferns; Habibollah Esmaily; Majid Ghayour-Mobarhan
Abstract
Introduction: Diabetes (DM) is a type of metabolic disorder that its types are generated by collectingof genetic and environmental risk agents. Here, the association between HSPB1 polymorphism as a genetic risk factor and DM was investigated.
Methods: Total 690 participants from MASHAD cohort study ...
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Introduction: Diabetes (DM) is a type of metabolic disorder that its types are generated by collectingof genetic and environmental risk agents. Here, the association between HSPB1 polymorphism as a genetic risk factor and DM was investigated.
Methods: Total 690 participants from MASHAD cohort study population were recruited into the study.Anti-HSP27-level was assessed followed by genotyping using Taqman®-probes-based assay. Anthropometric, demographic and hematological/biochemical characteristics were evaluated. Kaplan-Meier curves were utilized, while logistic regression models were used to assess the association of the genetic variant with clinical characteristics of population.
Results: Finds was shown there are meaningful differences among groups of age, height, waist circumference, systolic blood pressure, FBG,TG, HDL-C, and hs-CRP, and was no big -significant difference between theexists in different HSP27 SNP in the two studied groups (with and without DM), also was no remarkable relation between genetic forms of HSPB1and T2DM. This investigation was the first research that analyzed the relationship between the genetic type of the HSPB1 gene (rs2868371) and Type 2 diabetes (DM2). In our population, the CC genotype (68.1%) had a higher prevalence versus GC (26.6%) and GG (5.3%) genotypes and the data shown that no genetic difference of HSPB1 gene polymorphism (rs2868371) was related with DM2.
Conclusion: HSPB1 polymorphism, rs2868371, was not associated with type 2 diabetes mellitus.