Sakineh Shab-Bidar

Dr. Sakineh Shab-Bidar

School of Nutritional Sciences and Dietetics, Tehran, Iran

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 September 2020 in BMJ
Verified
Journal Article
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AJAhmad Jayedi
Ahmad Jayedi
SSSepideh Soltani
Sepideh Soltani
MZMahdieh Sadat Zargar
Mahdieh Sadat Zargar
TKTauseef Ahmad Khan
Tauseef Ahmad Khan
SSSakineh Shab-Bidar
Sakineh Shab-Bidar
Objective: To quantify the association of indices of central obesity, including waist circumference, hip circumference, thigh circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, with the risk of all cause mortality in the general population, and to clarify the shape of the dose-response relations.Design: Systematic review and meta-analysis.Data sources: PubMed and Scopus from inception to July 2019, and the reference lists of all related articles and reviews.Eligibility criteria for selecting studies: Prospective cohort studies reporting the risk estimates of all cause mortality across at least three categories of indices of central fatness. Studies that reported continuous estimation of the associations were also included.Data synthesis: A random effects dose-response meta-analysis was conducted to assess linear trend estimations. A one stage linear mixed effects meta-analysis was used for estimating dose-response curves.Results: Of 98 745 studies screened, 1950 full texts were fully reviewed for eligibility. The final analyses consisted of 72 prospective cohort studies with 2 528 297 participants. The summary hazard ratios were as follows: waist circumference (10 cm, 3.94 inch increase): 1.11 (95% confidence interval 1.08 to 1.13, I2=88%, n=50); hip circumference (10 cm, 3.94 inch increase): 0.90 (0.81 to 0.99, I2=95%, n=9); thigh circumference (5 cm, 1.97 inch increase): 0.82 (0.75 to 0.89, I2=54%, n=3); waist-to-hip ratio (0.1 unit increase): 1.20 (1.15 to 1.25, I2=90%, n=31); waist-to-height ratio (0.1 unit increase): 1.24 (1.12 to 1.36, I2=94%, n=11); waist-to-thigh ratio (0.1 unit increase): 1.21 (1.03 to 1.39, I2=97%, n=2); body adiposity index (10% increase): 1.17 (1.00 to 1.33, I2=75%, n=4); and A body shape index (0.005 unit increase): 1.15 (1.10 to 1.20, I2=87%, n=9). Positive associations persisted after accounting for body mass index. A nearly J shaped association was found between waist circumference and waist-to-height ratio and the risk of all cause mortality in men and women. A positive monotonic association was observed for waist-to-hip ratio and A body shape index. The association was U shaped for body adiposity index.Conclusions: Indices of central fatness including waist circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, independent of overall adiposity, were positively and significantly associated with a higher all cause mortality risk. Larger hip circumference and thigh circumference were associated with a lower risk. The results suggest that measures of central adiposity could be used with body mass index as a supplementary approach to determine the risk of premature death.

18 January 2022 in BMJ
Verified
Journal Article
Open access
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AJAhmad Jayedi
Ahmad Jayedi
SSSepideh Soltani
Sepideh Soltani
SMSheida Zeraat-Talab Motlagh
Sheida Zeraat-Talab Motlagh
AEAlireza Emadi
Alireza Emadi
HSHosein Shahinfar
Hosein Shahinfar
SSSakineh Shab-Bidar
Sakineh Shab-Bidar
Objective To present a comprehensive review of the association between measures of body weight, waist, and fat, and different ratios of these measures, and the risk of type 2 diabetes. Design Systematic review and dose-response meta-analysis of cohort studies. Data sources PubMed, Scopus, and Web of Science up to 1 May 2021. Review methods Cohort studies looking at the association between general or central adiposity and body fat content and the risk of type 2 diabetes in the general adult population were included. Two of the authors extracted the data in duplicate. Random effects dose-response meta-analyses were performed to estimate the degree of the associations. Curvilinear associations were modelled with a one stage weighted mixed effects meta-analysis. Results 216 cohort studies with 2.3 million individuals with type 2 diabetes among 26 million participants were identified. Relative risks were 1.72 (95% confidence interval 1.65 to 1.81; n=182 studies) for an increase in body mass index of 5 units, 1.61 (1.52 to 1.70; n=78) for a 10 cm larger waist circumference, 1.63 (1.50 to 1.78; n=34) for an increase in waist-to-hip ratio of 0.1 units, 1.73 (1.51 to 1.98; n=25) for an increase in waist-to-height ratio of 0.1 units, 1.42 (1.27 to 1.58; n=9) for an increase in visceral adiposity index of 1 unit, 2.05 (1.41 to 2.98; n=6) for a 10% higher percentage body fat, 1.09 (1.05 to 1.13, n=5) for an increase in body shape index of 0.005 units, 2.55 (1.59 to 4.10, n=4) for a 10% higher body adiposity index, and 1.11 (0.98 to 1.27; n=14) for a 10 cm larger hip circumference. A strong positive linear association was found between body mass index and the risk of type 2 diabetes. Positive linear or monotonic associations were also found in all regions and ethnicities, without marked deviation from linearity at a specific cut-off value. Indices of central fatness, independent of overall adiposity, also had positive linear or monotonic associations with the risk of type 2 diabetes. Positive linear or monotonic associations were also found for total and visceral fat mass, although the number of studies was small. Conclusions A higher body mass index was associated with a greater risk of developing type 2 diabetes. A larger waist circumference, independent of overall adiposity, was strongly and linearly associated with the risk of type 2 diabetes. Systematic review registration PROSPERO CRD42021255338.

30 June 2020 in British Journal of Nutrition
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Journal Article
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AJAhmad Jayedi
Ahmad Jayedi
SSSepideh Soltani
Sepideh Soltani
AAAnna Abdolshahi
Anna Abdolshahi
SSSakineh Shab-Bidar
Sakineh Shab-Bidar
We aimed to fully review the association of empirical dietary patterns with the risk of noncommunicable chronic diseases and to rate the quality of the evidence. Published meta-analyses of observational studies investigating the association of empirically-derived dietary patterns with the risk of chronic diseases were identified by searching PubMed and Scopus till September, 2019. Two independent reviewers extracted the information and rated the quality of the evidence by NutriGrade score. For each meta-analysis, cross-sectional and case-control studies were excluded and then, summary relative risk (SRR) was recalculated by using a random-effects model. Sixteen meta-analyses of prospective cohort studies, reporting 18 SRRs for healthy dietary patterns and 16 SRRs for unhealthy patterns obtained from 116 primary prospective cohort studies with 4.8 million participants, were included. There was moderate quality of evidence for the inverse association of healthy dietary patterns with the risk of type 2 diabetes, fracture, and colorectal and breast cancers. There was also low quality evidence for the inverse relation between healthy dietary patterns and the risk of all-cause and cardiovascular mortality, depression, and coronary heart and respiratory diseases. There was moderate quality of evidence for a positive association between unhealthy dietary patterns and the risk of type 2 diabetes, fracture, and metabolic syndrome. Adopting a healthy dietary pattern may reduce the risk of type 2 diabetes, coronary heart disease, and premature death. More research is needed for outcomes for which the quality of the evidence was rated low, such as respiratory disease, mental illness, and site-specific cancers.

1 November 2019 in Advances in Nutrition
Verified
Journal Article
Closed access
SSSepideh Soltani
Sepideh Soltani
AJAhmad Jayedi
Ahmad Jayedi
SSSakineh Shab-Bidar
Sakineh Shab-Bidar
NBNerea Becerra-Tomás
Nerea Becerra-Tomás
Jordi Salas-SalvadóJordi Salas-Salvadó
Jordi Salas-Salvadó
A previous meta-analysis provided convincing evidence for an inverse association between adherence to a Mediterranean diet (MedDiet) and the risk of all-cause mortality. Since then, 19 prospective studies have been published. We updated the evidence from these prospective studies and conducted a dose-response meta-analysis to test the linear and potential nonlinear dose-response associations between adherence to a MedDiet and the risk of all-cause mortality. The PubMed, Scopus, ISI Web of Knowledge, and Embase bibliographic databases were systematically searched up to August 24, 2018. Summary HRs were estimated with the use of a random-effects meta-analysis to assess the association between a 2-point increment in MedDiet adherence and the risk of all-cause mortality. Sensitivity and subgroup analyses were performed and potential publication bias was tested. Twenty-nine prospective studies with 1,676,901 participants and 221,603 cases of all-cause mortality were included in the final analysis. The pooled HR of all-cause mortality was 0.90 (95% CI: 0.89, 0.91; I2 = 81.1%) for a 2-point increment in adherence to a MedDiet. Subgroup analyses showed that a significant inverse association was stronger in participants who lived in the Mediterranean region compared with non-Mediterranean areas (HRs: 0.82 compared with 0.92, respectively), and in studies that used the Panagiotakos MedDiet score. A nonlinear dose-response meta-analysis indicated that the risk of all-cause mortality linearly decreased with the increase in adherence to a MedDiet. The robustness of findings was confirmed in the sensitivity analyses. In conclusion, low-quality evidence from prospective cohort studies suggests an inverse association between adherence to a MedDiet and the risk of all-cause mortality, especially in Mediterranean regions. An inverse linear dose-response relation was also observed between adherence to a MedDiet and the risk of all-cause mortality.


30 January 2019 in Heart
Verified
Journal Article
Closed access
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AJAhmad Jayedi
Ahmad Jayedi
KRKazem Rahimi
Kazem Rahimi
LBLeonelo E Bautista
Leonelo E Bautista
MNMilad Nazarzadeh
Milad Nazarzadeh
MZMahdieh Sadat Zargar
Mahdieh Sadat Zargar
SSSakineh Shab-Bidar
Sakineh Shab-Bidar
Objective: To systematically assess the association of circulating inflammation markers with the future risk of hypertension. Methods: We did a systematic literature search of PubMed and Scopus, from database inception to July 10, 2018. Prospective and retrospective cohort studies evaluating the association of circulating C reactive protein (CRP), high-sensitive CRP (hs-CRP), interleukin 6 (IL-6) and IL-1β to the risk of developing hypertension in the general population were included. The relative risks (RRs) for the top versus bottom tertiles of circulating biomarkers were calculated using a fixed-effects/random-effects model. A potential non-linear dose-response association was tested. Results: Fourteen prospective cohort studies, two retrospective cohort studies and five nested case-control studies involving 142 640 participants and 20 676 cases were identified. The RR for the third versus first tertiles of circulating CRP was 1.23 (95% CI 1.11 to 1.35; I2=59%, n=12). The association remained unchanged after adjustment for body mass index. The RRs for other biomarkers were as follows: hs-CRP (RR 1.20, 95% CI 1.02 to 1.37; I2=74%, n=7), IL-6 (RR 1.51, 95% CI 1.30 to 1.71; I2=0%, n=5), and IL-1β (RR 1.22, 95% CI 0.92 to 1.51; I2=0%, n=3). A non-linear dose-response meta-analysis demonstrated that the risk of hypertension increased linearly with increasing circulating inflammation markers, even within the low-risk and intermediate-risk categories. Conclusions: Higher levels of circulating CRP, hs-CRP and IL-6, but not IL-1β, were associated with the risk of developing hypertension. The association persisted in subgroups of studies defined by major sources of heterogeneity.