scholarly journals Age Differences in the Relationship between Secondhand Smoke Exposure and Risk of Metabolic Syndrome: A Meta-Analysis

2019 ◽  
Vol 16 (8) ◽  
pp. 1409
Author(s):  
Hui-Jian Chen ◽  
Gai-Ling Li ◽  
Ao Sun ◽  
Dang-Sheng Peng ◽  
Wan-Xia Zhang ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Age Differences ◽  
Secondhand Smoke ◽  
Metabolic Disorder ◽  
Meta Analysis ◽  
Public Health Problem ◽  
Mean Difference ◽  
Age Difference ◽  
Age Group ◽  
The Relationship

Secondhand smoke (SHS), a common environmental exposure factor, has become a serious public health problem. Metabolic syndrome is another worldwide clinical challenge. Our study tried to determine the age differences in the relationship between SHS and the risk of metabolic syndrome. Studies were searched in PubMed and Web of Science from 11 November to 30 November 2018. Eighteen studies were finally included based on inclusion and exclusion criteria. The relationship between SHS and the risk indicators of metabolic syndrome was analyzed. The weighted mean difference (WMD) of fasting plasma glucose (FPG), insulin, body mass index (BMI), and waist circumference (WC), and the standard mean difference (SMD) of total cholesterol, triglycerides, and low- and high-density lipoprotein-cholesterol (LDL-C, HDL-C) were calculated in a meta-analysis. SHS was positively associated with the level of insulin and WC. According to the subgroup analysis based on age difference, SHS was positively associated with FPG in the upper age group, and positively associated with LDL-C and negatively associated with HDL-C in the lower age group. BMI showed a more obvious positive correlation in the adults group than in the children and the teenagers group. In conclusion, the association of metabolic syndrome with SHS varies with age. When exposed to SHS, older people may be more susceptible to glucose metabolic disorder, but younger people may be more susceptible to lipid metabolic disorder.

Intra- and intergenerational communication satisfaction as a function of an individual’s age and age stereotypes

2002 ◽  
Vol 26 (6) ◽  
pp. 562-570 ◽  
Author(s):  
Yiwei Chen ◽  
Brian Edward King
Keyword(s):  
Young Adults ◽  
Age Differences ◽  
Communication Satisfaction ◽  
Intergenerational Communication ◽  
Age Group ◽  
Age Stereotypes ◽  
Old Adults ◽  
Alternative Hypotheses ◽  
Ingroup Outgroup ◽  
The Relationship

The present study assessed the positivity of an individual’s age stereotypes and examined the relationship between individuals’ age stereotypes and intra- and intergenerational communication satisfaction. In addition, two alternative hypotheses (i.e., an ingroup/outgroup hypothesis and a developmental hypothesis) were tested for explaining age differences in intra- and intergenerational communication satisfaction. Specifically, 118 young adults and 102 old adults participated in the study and were asked to generate traits about “a typical 20-year-old woman” and “a typical 70-year-old woman”. Participants also imagined a conversation with the targets and filled out a questionnaire measuring intra- and intergenerational communication satisfaction. Participants with a positive age stereotype toward the opposite age group perceived a higher level of intergenerational communication satisfaction and a lower level of dissatisfaction than those who held a neutral or a negative stereotype. In addition, old adults expressed lower levels of communication dissatisfaction than young adults regardless of which age group they interacted with. Results of this study supported the developmental hypothesis.

scholarly journals Metabolic Syndrome Increases the Risk for Knee Osteoarthritis: A Meta-Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Huajun Wang ◽  
Yanmei Cheng ◽  
Decheng Shao ◽  
Junyuan Chen ◽  
Yuan Sang ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Knee Osteoarthritis ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Significant Heterogeneity ◽  
Metabolic Factors ◽  
Knee Oa ◽  
The Metabolic Syndrome ◽  
The Cochrane Library ◽  
The Relationship

Background. Studies revealed that metabolic factors might contribute substantially to osteoarthritis (OA) pathogenesis. There has been an increasing interest to understand the relationship between knee OA and the metabolic syndrome (MetS). The purpose of this study was to explore the association between metabolic syndrome and knee osteoarthritis using meta-analysis.Methods. Databases, including PUBMED, EMBASE, and the Cochrane Library, were searched to get relevant studies. Data were extracted separately by two authors and pooled odds ratio (OR) with 95% confidence interval (CI) was calculated.Results. The meta-analysis was finished with 8 studies with a total of 3202 cases and 20968 controls finally retrieved from the database search. The crude pooled OR is 2.24 (95% CI = 1.38–3.64). Although there was significant heterogeneity among these studies, which was largely accounted for by a single study, the increase in risk was still significant after exclusion of that study. The pooled adjusted OR remained significant with pooled adjusted OR 1.05 (95% CI = 1.03–1.07,p<0.00001). No publication bias was found in the present meta-analysis.Conclusions. The synthesis of available evidence supports that metabolic syndrome increases the risk for knee osteoarthritis, even after adjustment for many risk factors.

scholarly journals Metabolic Syndrome and Its Components in Patients with COVID-19: Severe Acute Respiratory Syndrome (SARS) and Mortality. A Systematic Review and Meta-Analysis

2021 ◽  
Vol 8 (12) ◽  
pp. 162
Author(s):  
Sergio Rico-Martín ◽  
Julián F. Calderón-García ◽  
Belinda Basilio-Fernández ◽  
María Zoraida Clavijo-Chamorro ◽  
Juan F. Sánchez Muñoz-Torrero
Keyword(s):  
Systematic Review ◽  
Metabolic Syndrome ◽  
Severe Acute Respiratory Syndrome ◽  
Meta Analysis ◽  
Risk Of Bias ◽  
Newcastle Ottawa Scale ◽  
Abstract Screening ◽  
The Relationship ◽  
Metabolic Comorbidities ◽  
Ottawa Scale

Recent meta-analysis studies have reported that metabolic comorbidities such as diabetes, obesity, dyslipidaemia and hypertension are associated with higher risk of severe acute respiratory syndrome (SARS) and mortality in patients with COVID-19. This meta-analysis aims to investigate the relationship between metabolic syndrome (MetS) and its components with SARS and mortality in COVID-19 patients. Methods: A systematic search was conducted in the several databases up until 1 September 2021. Primary observational longitudinal studies published in peer review journals were selected. Two independent reviewers performed title and abstract screening, extracted data and assessed the risk of bias using the Newcastle–Ottawa Scale. Results: The random effects meta-analysis showed that MetS was significantly associated with SARS with a pooled OR (95% CI) of 3.21 (2.88–3.58) and mortality with a pooled OR (95% CI) of 2.32 (1.16–4.63). According to SARS, the pooled OR for MetS was 2.19 (1.71–2.67), p < 0.001; significantly higher than the hypertension component. With regard to mortality, although the pooled OR for MetS was greater than for its individual components, no significant differences were observed. Conclusions: this meta-analysis of cohort studies, showed that MetS is better associated to SARS and mortality in COVID-19 patients than its individual components.

scholarly journals Metabolic Syndrome In Saudi Women With Low Bone Mineral Density

2020 ◽  
Vol 9 (4) ◽  
Author(s):  
Essra Aldawood ◽  
Mubashir Zafar
Keyword(s):  
Bone Mineral Density ◽  
Metabolic Syndrome ◽  
Bone Mineral ◽  
Public Health Problem ◽  
Major Public Health Problem ◽  
Mineral Density ◽  
Saudi Women ◽  
Menopausal Women ◽  
Bone Marrow Density ◽  
The Relationship

Background ― Metabolic syndrome (MetS) is the world's major public health problem. Objectives ― Assessment of metabolic syndrome impact on bone mineral density (BMD) among Saudi menopausal women in Eastern Province – Saudi Arabia. Material and Methods ― It’s a case control study and 380 menopausal Saudi women were selected through stratified random sampling; they are divided into 190 cases with osteoporosis and 190 without osteoporosis. BMD at the total hip were determined using dual-energy X-ray absorptiometry (DEXA). The T score was calculated, the relationship between the risk factors of MetS and bone mineral density were analyzed by statistical methods. Results ― Prevalence of MetS was substantially higher among osteoprotic women. The MetS is significantly correlated with bone mineral density (r=0.08, P=0.05). The occurrence of MetS was associated with increased osteoporosis among Saudi women (B=0.004; 0.05) after adjustment of confounders. The presence of obesity (component of MetS) was significantly associated with increased odds of Bone marrow density among women (OR 2.56, 95% CI, 2.22–3.44, P=0.030) after adjustment of confounders. Conclusion ― MetS was significantly associated with an osteoporosis in Saudi women.

scholarly journals Oxygen Cost of Walking in People with Multiple Sclerosis and Its Association with Fatigue: A Systematic Review and Meta-analysis

2021 ◽  
Author(s):  
Scott Rooney ◽  
Gavin McWilliam ◽  
Leslie Wood ◽  
Fiona Moffat ◽  
Lorna Paul
Keyword(s):  
Multiple Sclerosis ◽  
Systematic Review ◽  
Energy Expenditure ◽  
Meta Analysis ◽  
Positive Association ◽  
Mean Difference ◽  
Oxygen Cost ◽  
Future Studies ◽  
Standardized Mean Difference ◽  
The Relationship

Abstract Background: This systematic review and meta-analysis aimed to compare the oxygen cost of walking in people with multiple sclerosis (MS) and controls and to assess the relationship between oxygen cost of walking and fatigue in people with MS. Methods: Four databases (CINAHL, MEDLINE, ProQuest, Web of Science) were searched up to September 2020. Studies were included if they recruited adults with MS and either compared oxygen cost of walking in those with MS and a control population or determined the relationship between oxygen cost of walking and fatigue. Meta-analysis of the standardized mean difference in oxygen cost of walking between people with MS and controls was performed. Results: Nine studies were included in this review, of which seven compared oxygen cost of walking in people with MS (n = 176) and controls (n = 142) and four investigated the relationship between oxygen cost of walking and fatigue. Meta-analysis revealed that people with MS (with predominantly mild-to-moderate disability) had a significantly higher oxygen cost of walking compared with controls (standardized mean difference = 2.21, 95% CI = 0.88 to 3.54, P = .001). In addition, three studies found a significant yet weak positive association between oxygen cost of walking and fatigue. Conclusions: People with MS expend more energy when walking compared with controls. This increase in energy expenditure may contribute to the development of fatigue, as some studies found that higher oxygen costs of walking were associated with greater fatigue. Future studies should investigate whether reducing energy expenditure during movement improves fatigue.

scholarly journals The effect of temperature on childhood hand, foot and mouth disease in Guangdong Province, China, 2010-2013: A multicity study

2019 ◽  
Author(s):  
Zece Xu ◽  
Wenqi Hu ◽  
Kedi Jiao ◽  
Ci Ren ◽  
Baofa Jiang ◽  
...  
Keyword(s):  
Local Governments ◽  
Meta Analysis ◽  
Foot And Mouth Disease ◽  
Public Health Problem ◽  
Guangdong Province ◽  
Mouth Disease ◽  
Effect Of Temperature ◽  
Non Linear ◽  
Foot And Mouth ◽  
The Relationship

Abstract Background Hand, foot and mouth disease (HFMD) is a serious infectious disease, which has become a public health problem. Previous studies have shown that temperature may influence the incidence of HFMD, but most only focus on single city and the results are highly heterogeneous. Therefore, a multicity study was conducted to explore the association between temperature and HFMD in different cities and search for modifiers that influence the heterogeneity. Methods We collected daily cases of childhood HFMD (aged 0-5 years) and meteorological factors of 21 cities in Guangdong Province in the period of 2010-2013. Distributed lag non-linear model (DLNM) with quasi-Poisson was adopted to quantify the effects of temperature on HFMD in 21 cities. Then the effects of each city were pooled by multivariate meta-analysis to obtain the heterogeneity among 21 cities. Potential city-level factors were included in meta-regression to explore effect modifiers. Results A total of 1,048,574 childhood cases were included in this study. There was a great correlation between daily childhood HFMD cases and temperature in each city, which was non-linear and lagged. High heterogeneity was showed in the associations between temperature and HFMD in 21 cities. The pooled temperature-HFMD association was peaking at the 79th percentile of temperature with relative risk (RR) of 2.474(95%CI: 2.065-2.965) as compared to the median temperature. Latitude was the main modifier for reducing the heterogeneity to 69.28% revealed by meta-analysis. Conclusions There was a strong non-linear and lagged correlation between temperature and HFMD. Latitude was strongly associated with the relationship between temperature and HFMD. Meanwhile, it had an effect on modifying the relationship. These findings can conducive to local governments developing corresponding preventive measures.

scholarly journals The relationship between depression and risk of metabolic syndrome: a meta‐analysis of observational studies

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Yousef Moradi ◽  
Ahmed N Albatineh ◽  
Hassan Mahmoodi ◽  
Reza Ghanei Gheshlagh
Keyword(s):  
Metabolic Syndrome ◽  
Observational Studies ◽  
Meta Analysis ◽  
Total Sample ◽  
Cross Sectional ◽  
Depressed Patients ◽  
Newcastle Ottawa Scale ◽  
Cross Sectional Studies ◽  
The Relationship ◽  
Ottawa Scale

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.

scholarly journals Metabolic syndrome and esophageal cancer risk: a systematic review and meta‑analysis

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Jinjia Zhang ◽  
Huadong Wu ◽  
Rongying Wang
Keyword(s):  
Metabolic Syndrome ◽  
Esophageal Cancer ◽  
Cancer Risk ◽  
Clinical Studies ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Case Control Studies ◽  
The Metabolic Syndrome ◽  
Subgroup Analyses ◽  
The Relationship

Abstract Objective Many clinical studies evaluating the relationship between metabolic syndrome and esophageal cancer yielded uncertain results. The purpose of this study is to systematically assess the relationship between metabolic syndrome and esophageal cancer. Methods We searched clinical studies on metabolic syndrome and esophageal cancer risk in PubMed, Embase, and the Cochrane Library. Meta-analysis was conducted by RevMan 5.3 softwares. Results A total of four cohort studies and two case–control studies met eligibility criteria and were included in the meta-analysis. Meta-analysis using a fixed-effect model indicated that MetS was related with a higher risk of EC (OR: 1.16, 95% CI 1.08–1.25). Subgroup analyses grouped by pathological types showed that MetS was related with a higher risk of EAC (OR: 1.19, 95% CI 1.10–1.28). Subgroup analyses grouped by metabolic conditions showed hyperglycemia (OR: 1.12, 95% CI 1.03–1.21),hypertension (OR: 1.23, 95% CI 1.04–1.46), obesity (OR: 1.40, 95% CI 1.22–1.60, P < 0.05) were related with a higher risk of EAC. Conclusions Overall, our meta-analysis provides high quality evidence that metabolic syndrome was related with a higher risk of EAC. Among the individual components of the metabolic syndrome, hyperglycemia, hypertension and obesity may be the key factors.

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