Prevalence of metabolic syndrome in Middle-East countries: Meta-analysis of cross-sectional studies

2018 ◽  
Vol 12 (2) ◽  
pp. 195-201 ◽  
Author(s):  
Alireza Ansarimoghaddam ◽  
Hosein Ali Adineh ◽  
Iraj Zareban ◽  
Sohrab Iranpour ◽  
Ali HosseinZadeh ◽  
...  
2018 ◽  
Vol 120 (4) ◽  
pp. 373-384 ◽  
Author(s):  
Mijin Lee ◽  
Hanna Lee ◽  
Jihye Kim

AbstractA systematic review and a meta-analysis of observational studies were performed to assess the dose–response relationship between specific types of dairy foods and the risk of the metabolic syndrome (MetS) and its components. Studies of dairy foods and the risk of the MetS and its components published up to June 2016 were searched using PubMed, EMBASE and a reference search. Random-effects models were used to estimate the pooled relative risks (RR) with 95 % CI. Finally, ten cross-sectional studies, two nested case–control studies and twenty-nine cohort studies were included for the analysis. In a dose–response analysis of cohort studies and cross-sectional studies, the pooled RR of the MetS for a one-serving/d increment of total dairy food (nine studies) and milk (six studies) consumption (200 g/d) were 0·91 (95 % CI 0·85, 0·96) and 0·87 (95 % CI 0·79, 0·95), respectively. The pooled RR of the MetS for yogurt (three studies) consumption (100 g/d) was 0·82 (95 % CI 0·73, 0·91). Total dairy food consumption was associated with lower risk of MetS components, such as hyperglycaemia, elevated blood pressure, hypertriacylglycerolaemia and low HDL- cholesterol. A one-serving/d increment of milk was related to a 12 % lower risk of abdominal obesity, and a one-serving/d increment of yogurt was associated with a 16 % lower risk of hyperglycaemia. These associations were not significantly different by study design, study location or adjustment factors. This meta-analysis showed that specific types of dairy food consumption such as milk and yogurt as well as total dairy food consumption were inversely related to risk of the MetS and its components.


2019 ◽  
Vol 22 (11) ◽  
pp. 2055-2062 ◽  
Author(s):  
Lixiao Cheng ◽  
Danqing Hu ◽  
Wenjie Jiang

AbstractObjectiveEpidemiological investigations evaluating the association of dietary Ca intake with metabolic syndrome (MetS) risk have yielded controversial results. Therefore, a meta-analysis was conducted to quantitatively summarize the association between dietary Ca intake and the risk of MetS.DesignPubMed, Embase and Web of Science were searched for relevant articles published up to October 2018. The pooled OR and 95 % CI were calculated with a random-effects model.SettingMeta-analysis.ParticipantsNine cross-sectional studies.ResultsA total of nine articles with fifteen studies for dietary Ca intake were finally included in the meta-analysis. The combined OR with 95 % CI of MetS for the highest v. lowest category of dietary Ca intake was 0·80 (95 % CI 0·70, 0·91). For dose–response analysis, a non-linear relationship was found between dietary intake of Ca and risk of MetS (Pnon-linearity<0·001). The threshold for dietary Ca intake was 280 mg/d (OR=0·87; 95 % CI 0·82, 0·93), reducing the risk of MetS by 13 %.ConclusionsThe present meta-analysis suggests that dietary Ca intake might reduce the risk of MetS, which needs to be further confirmed by larger prospective cohort studies.


2018 ◽  
Vol 17 (2) ◽  
pp. 357-364 ◽  
Author(s):  
Ozra Tabatabaei-Malazy ◽  
Shirin Djalalinia ◽  
Hamid Asayesh ◽  
Yalda Shakori ◽  
Mohammad Esmaeili Abdar ◽  
...  

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Yousef Moradi ◽  
Ahmed N Albatineh ◽  
Hassan Mahmoodi ◽  
Reza Ghanei Gheshlagh

Abstract Introduction The link between metabolic syndrome and depression has always been controversial. Different studies that have examined the relationship between metabolic syndrome and depression have reported different results. Therefore, the goal of the present study was to examine the association between depression and MetS by meta-analysis. Methods Embase, Scopus, PubMed, and ISI were searched for publications in English from January 1990 to February 2020. Search included cohort and cross-sectional studies aimed at examining the association between depression and MetS. The risk of bias was assessed by Newcastle-Ottawa Scale. Heterogeneity and publication bias were tested, subgroup analysis and meta-regression were conducted. Results 49 studies with total sample size 399,494 were analyzed. Results indicated the odds of MetS was higher in depressed compared to non-depressed individuals [OR: 1.48; 95 %CI: 1.33–1.64) vs. (OR: 1.38; 95 %CI: 1.17–1.64)]. For cross-sectional studies, depressed patients in Europe (OR = 1.35; 95 %CI: 1.47–1.99) were at higher odds of MetS compared to those in America and Asia. For cohort studies, depressed patients in America (OR = 1.46; 95 %CI: 1.16–1.84) were at higher odds of MetS than those in Europe. Cross-sectional studies indicated women with depression were at higher odds of MetS (OR = 1.95; 95 %CI: 1.38–2.74) compared to men. In both types of studies, the odds of MetS decreased with age. Conclusions Metabolic syndrome is more common in depressed compared to non-depressed individuals.


2019 ◽  
Vol 53 (2) ◽  
Author(s):  
Leah Antoinette M. Caro-Chang ◽  
Mia Katrina R. Gervasio ◽  
Claudine Yap-Silva

Objectives. The study aimed to confirm the association between androgenetic alopecia (AGA) and Metabolic Syndrome (MetS). It also aimed to determine if early-onset AGA among males and AGA among females increases the risk of developing MetS, and if severity of AGA increases the odds of developing MetS. Methods. Observational studies from electronic databases were selected by the consensus of three independent review authors. The Newcastle-Ottawa Scale for assessing the quality of non-randomized studies in meta-analysis was used. Statistical analyses were accomplished using Review Manager software. Results. A total of 11 case-control studies, one prospective cohort study, and five cross-sectional studies were selected. In the meta-analysis of ten case-control studies and three cross-sectional studies (3840 participants), AGA was significantly correlated with MetS (OR 2.59, 95% CI 1.51 to 4.44; p<0.0005). Early-onset AGA among males (<35 years old) showed significant association (OR 3.69, 95% CI 2.15 to 6.33; p<0.00001). AGA among females also increased the odds of developing MetS (OR 5.59, 95% CI 2.06 to 15.12; p<0.0007). Moderate to severe AGA in males, Norwood-Hamilton IV or higher, was also significant (OR 1.65, 95% CI 1.12 to 2.42; p=0.01). The same trend was noted for females with Ludwig II and III (OR 5.82, 95% CI 2.54 to 13.34; p<0.00001). Conclusion. Although the pathophysiology still remains under investigation, the present study points to an association between AGA and MetS. It can be used as a marker to identify patients who should be screened for MetS and managed accordingly.


2021 ◽  
Vol 12 ◽  
Author(s):  
Jianian Hua ◽  
Hezi Jiang ◽  
Hui Wang ◽  
Qi Fang

Objective: Epidemiological studies have reported inconsistent findings for the association between sleep duration and metabolic syndrome. We aimed to clarify the effects of short and long sleep durations on metabolic syndrome in adults by performing a meta-analysis.Methods: Adopting random-effects models, this study analyzed the effects of short and long sleep durations based on data from prospective cohort studies and cross-sectional studies retrieved from four electronic databases from inception to May 2020.Results: We collected data from 235,895 participants included in nine prospective cohort studies and 340,492 participants included in 27 cross-sectional studies. In cohort studies, short sleep duration was associated with an increased risk of metabolic syndrome (RR, 1.15; 95% CI, 1.05–1.25, I2 = 63.1%, P &lt; 0.001) compared with normal sleep duration. While long sleep duration was not associated with new-onset metabolic syndrome (RR, 1.02, 0.85–1.18, I2 = 38.0%, P = 0.491). In cross-sectional studies, both short (OR, 1.06, 95% CI, 1.01–1.11, I2 = 66.5%, P &lt; 0.001) and long (OR, 1.11, 95% CI, 1.04–1.17, I2 = 73.8%, P &lt; 0.001) sleep durations were associated with a high prevalence of metabolic syndrome.Conclusions: Only a short sleep duration was associated with an increased risk of metabolic syndrome. Future studies should address whether the association is casual and modifiable.


2019 ◽  
Vol 122 (07) ◽  
pp. 723-733 ◽  
Author(s):  
Mijin Lee ◽  
Miso Lim ◽  
Jihye Kim

AbstractA systematic review and meta-analysis of observational studies were performed to assess the dose–response associations between fruit or vegetable consumption and the chance of the metabolic syndrome (MetS). Studies on the association between fruit or vegetable consumption and the risk of the MetS published from January 1958 to 30 October 2018 were searched using the PubMed, MEDLINE and Embase databases, and the references of relevant articles were reviewed. Random-effects models were used to estimate the summary OR with 95 % CI for the MetS, and dose–response analysis was conducted to quantify the associations. Heterogeneity among studies was evaluated using Q and I2 statistics. A total of nine observational studies (seven cross-sectional studies and two cohort studies) were included in the meta-analysis. In a dose–response analysis of cohort studies and cross-sectional studies, the summary estimate of the MetS for an increase of 100 g/d in fruit consumption (nine studies) was 0·97 (95 % CI 0·95, 0·99; I2 = 26·7 %), whereas an increase of 100 g/d in vegetable consumption (nine studies) was not associated with a reduction in the MetS (OR 0·98; 95 % CI 0·96, 1·01; I2 = 54·6 %). In conclusion, an increased intake of fruit may reduce the risk of the MetS. For future research, prospective studies or randomised clinical trials are needed to identify the effects of fruits and vegetables by variety on the risk of the MetS.


2020 ◽  
Author(s):  
Jianian Hua ◽  
Hezi Jiang ◽  
Qi Fang

Objective: Epidemiologic studies have reported inconsistent findings about the association between sleep duration and metabolic syndrome. We aimed to clarify this association by method of meta-analysis. Methods: Medline, Embase, CINAHL and PsycINFO databases were searched from inception to May 2020. We collected data from 235,895 participants from 9 prospective cohort studies, and 340,492 participants from 26 cross-sectional studies. Risk ratios (RR) or odds ratios (OR) were calculated separately for cohort studies and cross-sectional studies, through meta-analysis of adjusted data from individual studies. Results: For cohort studies, short sleep duration was associated with an increased risk of metabolic syndrome (RR, 1.15; 95% CI, 1.05-1.25). Long sleep duration was not associated with new onset metabolic syndrome (RR, 1.02, 0.85-1.18). For cross-sectional studies, both short (OR, 1.12, 95% CI, 1.08-1.18) and long (OR, 1.06, 1.01-1.11) sleep duration was associated with high prevalence of metabolic syndrome. Conclusions: Only short sleep duration was associated with an increased risk of metabolic syndrome. Future studies should address whether the association is casual and modifiable.


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