Abstract
Background and Aims: This cross-sectional study aimed to determine potential factors with a strong association with metabolic syndrome (MetS) among obesity and lipid-related parameters, and liver enzymes, fasting blood glucose (FBG), and blood pressure (BP) as well as some sociodemographic factors in elderly over 60 years old from a sample of Birjand Longitudinal Aging Study (BLAS).
Methods: A total of 1366 elderly Birjand participants were enrolled and divided into non-MetS (n = 512) and MetS (n = 854) groups based on the status of MetS from January 2018 to October 2018. The anthropometric parameters, blood lipid profiles, liver enzymes, and disease history were evaluated and recorded.
Results: 62.5% of the participants from our sample of elderly Birjand have MetS (33.4% in males and 66.6% in females). The prevalence of MetS in females was significantly higher than in males (P < 0.001). The increasing trend in the number of MetS components (from 0 to 5) was observed in females (p < 0.001). Odds ratio showed a strong association between female gender [8.33 (5.88- 11.82)], obesity [8.00 (4.87-13.14)], and overweight [2.44 (1.76-3.40)] with MetS and acceptable association between TG/HDL [(1.85 (1.62-2.12)] with MetS.
Conclusion: This study indicated that the female sex, overweight and obesity have a strong association with MetS and TG/HDL has an acceptable association found in the sample of the elderly Birjand population. However, due to the obvious limitations of our study including the homogeneous sex and race of population, and no adjustment for several important confounding factors including sex, different ages, stage in the elderly, alcohol consumption, smoking, married status, physical activity, diet, and family history of CVD, more epidemiological investigations are needed to address this question.
Keywords: Metabolic syndrome, obesity, and lipid-related parameters, blood pressure, fasting blood glucose, elderly.
[http://dx.doi.org/10.1055/a-1263-0898] [PMID: 33075830]
[http://dx.doi.org/10.3389/fmed.2021.748037] [PMID: 34869437]
[http://dx.doi.org/10.3389/fendo.2021.770200] [PMID: 34899605]
[http://dx.doi.org/10.2174/1567205018666211209095652] [PMID: 34886772]
[http://dx.doi.org/10.1016/j.envres.2022.112746] [PMID: 35063427]
[http://dx.doi.org/10.5888/pcd14.160287] [PMID: 28301314]
[http://dx.doi.org/10.2337/dc08-1800] [PMID: 19279302]
[http://dx.doi.org/10.1016/j.jacc.2005.12.046] [PMID: 16630996]
[http://dx.doi.org/10.1016/S0168-8227(03)00066-4] [PMID: 12849921]
[http://dx.doi.org/10.7150/ijms.13800] [PMID: 26816492]
[http://dx.doi.org/10.1515/jpem-2021-0034] [PMID: 34142516]
[http://dx.doi.org/10.1007/s40200-020-00504-5] [PMID: 32550207]
[http://dx.doi.org/10.1161/CIRCULATIONAHA.105.169404] [PMID: 16157765]
[http://dx.doi.org/10.1016/j.dsx.2018.11.055] [PMID: 30641809]
[http://dx.doi.org/10.1186/s12944-018-0927-x] [PMID: 30572889]
[http://dx.doi.org/10.1016/S0140-6736(04)17018-9] [PMID: 15364185]
[http://dx.doi.org/10.19082/5402] [PMID: 29238477]
[http://dx.doi.org/10.1016/j.ijcard.2007.10.049] [PMID: 18190978]
[http://dx.doi.org/10.1016/j.numecd.2008.11.006] [PMID: 19188050]
[http://dx.doi.org/10.5812/ijem.84771] [PMID: 30584438]
[http://dx.doi.org/10.3389/fendo.2020.00042] [PMID: 32174887]
[http://dx.doi.org/10.1186/s12933-018-0762-4] [PMID: 30170598]
[http://dx.doi.org/10.1186/1476-511X-13-159] [PMID: 25300321]
[http://dx.doi.org/10.1089/met.2014.0146] [PMID: 25781351]
[http://dx.doi.org/10.4291/wjgp.v8.i2.51] [PMID: 28573067]
[http://dx.doi.org/10.1016/j.exger.2018.02.026] [PMID: 29499373]
[http://dx.doi.org/10.2310/JIM.0b013e318275656a] [PMID: 23111652]
[http://dx.doi.org/10.1111/j.1365-2796.2005.01468.x] [PMID: 15836662]
[http://dx.doi.org/10.1016/j.jacc.2003.10.061] [PMID: 15093872]
[http://dx.doi.org/10.1681/ASN.2005121328] [PMID: 16565234]