Alcohol consumption in Iran: A systematic review and meta‐analysis of the literature

2020 ◽  
Vol 39 (5) ◽  
pp. 525-538 ◽  
Author(s):  
Maryam Chegeni ◽  
Atiyeh Kamel Khodabandeh ◽  
Mohammad Karamouzian ◽  
Mostafa Shokoohi ◽  
Leili Abedi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Alcohol Consumption ◽  
Meta Analysis

scholarly journals Alcohol consumption, unprovoked seizures, and epilepsy: A systematic review and meta-analysis

Epilepsia ◽  
2010 ◽  
Vol 51 (7) ◽  
pp. 1177-1184 ◽  
Author(s):  
Andriy V. Samokhvalov ◽  
Hyacinth Irving ◽  
Satya Mohapatra ◽  
Jürgen Rehm
Keyword(s):  
Systematic Review ◽  
Alcohol Consumption ◽  
Meta Analysis

Prenatal alcohol consumption and placental outcomes: A systematic review and meta-analysis of clinical studies

2021 ◽  
Author(s):  
Sarah E. Steane ◽  
Sophia L. Young ◽  
Vicki L. Clifton ◽  
Linda A. Gallo ◽  
Lisa K. Akison ◽  
...  
Keyword(s):  
Systematic Review ◽  
Alcohol Consumption ◽  
Clinical Studies ◽  
Meta Analysis ◽  
Prenatal Alcohol

scholarly journals Effectiveness of Digital Interventions for Reducing Behavioral Risks of Cardiovascular Disease in Nonclinical Adult Populations: Systematic Review of Reviews

10.2196/19688 ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. e19688
Author(s):  
Natalie Gold ◽  
Amy Yau ◽  
Benjamin Rigby ◽  
Chris Dyke ◽  
Elizabeth Alice Remfry ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Alcohol Consumption ◽  
Meta Analysis ◽  
Face To Face ◽  
Positive Effects ◽  
Digital Interventions ◽  
Diet And Physical Activity ◽  
Intent To Treat

Background Digital health interventions are increasingly being used as a supplement or replacement for face-to-face services as a part of predictive prevention. They may be offered to those who are at high risk of cardiovascular disease and need to improve their diet, increase physical activity, stop smoking, or reduce alcohol consumption. Despite the popularity of these interventions, there is no overall summary and comparison of the effectiveness of different modes of delivery of a digital intervention to inform policy. Objective This review aims to summarize the effectiveness of digital interventions in improving behavioral and health outcomes related to physical activity, smoking, alcohol consumption, or diet in nonclinical adult populations and to identify the effectiveness of different modes of delivery of digital interventions. Methods We reviewed articles published in the English language between January 1, 2009, and February 25, 2019, that presented a systematic review with a narrative synthesis or meta-analysis of any study design examining digital intervention effectiveness; data related to adults (≥18 years) in high-income countries; and data on behavioral or health outcomes related to diet, physical activity, smoking, or alcohol, alone or in any combination. Any time frame or comparator was considered eligible. We searched MEDLINE, Embase, PsycINFO, Cochrane Reviews, and gray literature. The AMSTAR-2 tool was used to assess review confidence ratings. Results We found 92 reviews from the academic literature (47 with meta-analyses) and 2 gray literature items (1 with a meta-analysis). Digital interventions were typically more effective than no intervention, but the effect sizes were small. Evidence on the effectiveness of digital interventions compared with face-to-face interventions was mixed. Most trials reported that intent-to-treat analysis and attrition rates were often high. Studies with long follow-up periods were scarce. However, we found that digital interventions may be effective for up to 6 months after the end of the intervention but that the effects dissipated by 12 months. There were small positive effects of digital interventions on smoking cessation and alcohol reduction; possible effectiveness in combined diet and physical activity interventions; no effectiveness for interventions targeting physical activity alone, except for when interventions were delivered by mobile phone, which had medium-sized effects; and no effectiveness observed for interventions targeting diet alone. Mobile interventions were particularly effective. Internet-based interventions were generally effective. Conclusions Digital interventions have small positive effects on smoking, alcohol consumption, and in interventions that target a combination of diet and physical activity. Small effects may have been due to the low efficacy of treatment or due to nonadherence. In addition, our ability to make inferences from the literature we reviewed was limited as those interventions were heterogeneous, many reviews had critically low AMSTAR-2 ratings, analysis was typically intent-to-treat, and follow-up times were relatively short. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42019126074; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=126074.

Abstract P149: The Effect of Alcohol Consumption on Insulin Sensitivity and Glycemic Status: A Systematic Review and Meta-analysis of Intervention Studies

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Ilse C Schrieks ◽  
Annelijn L Heil ◽  
Henk F Hendriks ◽  
Kenneth J Mukamal ◽  
Joline W Beulens
Keyword(s):  
Systematic Review ◽  
Insulin Sensitivity ◽  
Alcohol Consumption ◽  
Intervention Studies ◽  
Meta Analysis ◽  
Moderate Alcohol Consumption ◽  
Fasting Insulin ◽  
Glycemic Status ◽  
Reduced Risk

Introduction: Moderate alcohol consumption is associated with a reduced risk of type 2 diabetes, but this relation appears stronger for women than men. The reduced risk of diabetes could be explained by improved insulin sensitivity or glycemic status, but results of intervention studies on this relation are inconsistent. Our aim was to conduct a systematic review and meta-analysis of intervention studies investigating the effect of alcohol consumption on insulin sensitivity and glycemic status. Design: Systematic review and meta-analysis of intervention studies. Data sources: PubMed and Embase were searched until May 2013 using a pre-specified search string. Methods: Intervention studies on the effect of more than 2 weeks alcohol consumption on biological markers of insulin sensitivity or glycemic status were identified and assessed on their quality. Pooled standardized mean differences (SMD) were calculated using either fixed or random effects models. Gender-stratified analyses and sensitivity analyses excluding studies with high doses of alcohol (> 40 g/day). In a meta-regression the influence of dosage and duration of intervention was tested. Results: We included 14 intervention studies in a meta-analysis on 6 glycemic endpoints. Alcohol consumption did not influence insulin sensitivity (SMD=0.06 [-0.13 to 0.26]) or fasting glucose (SMD=0.09 [-0.09 to 0.27]). Alcohol consumption reduced HbA1c (SMD=-0.62 [-1.01 to -0.23], P=0.002) and insulin concentrations (SMD=-0.17 [-0.34 to 0.00] P=0.049) compared with the control group. In women, alcohol consumption reduced fasting insulin (SMD=-0.23 [-0.41 to -0.04], P=0.019) and improved insulin sensitivity (SMD=0.19 [-0.03 to 0.41], P=0.087), but no significant differences were observed among men. Results were similar when only studies with moderate alcohol dosages were analysed and were not influenced by dosage and duration of the intervention. Conclusions: This study showed that moderate alcohol consumption may reduce fasting insulin and improve insulin sensitivity among women, but not among men. These effects may provide an explanation for the relation between alcohol consumption and type 2 diabetes. Furthermore, moderate alcohol consumption may reduce HbA1c levels among both men and women.

Effectiveness of Workplace Intervention for Reducing Alcohol Consumption: a Systematic Review and Meta-Analysis

2019 ◽  
Vol 54 (3) ◽  
pp. 264-271 ◽  
Author(s):  
K Yuvaraj ◽  
Salin K Eliyas ◽  
S Gokul ◽  
S Manikandanesan
Keyword(s):  
Systematic Review ◽  
Alcohol Consumption ◽  
Meta Analysis ◽  
Workplace Intervention

Alcohol Consumption and the Risk of Age-Related Macular Degeneration: A Systematic Review and Meta-Analysis

2008 ◽  
Vol 145 (4) ◽  
pp. 707-715.e2 ◽  
Author(s):  
Elaine W.-T. Chong ◽  
Andreas J. Kreis ◽  
Tien Y. Wong ◽  
Julie A. Simpson ◽  
Robyn H. Guymer
Keyword(s):  
Systematic Review ◽  
Alcohol Consumption ◽  
Macular Degeneration ◽  
Meta Analysis ◽  
Age Related Macular Degeneration ◽  
Age Related
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