Farhang Hooshmand; Vahid Rahmanian; Mohammad Shojaei; Karamatollah Rahmanian
Abstract
Background: The overall prevalence of metabolically unhealthy (MU) phenotype in Iranian adults is a matter of debate. This study aimed to estimate the prevalence and determinants of metabolically unhealthystate in people over 30 years old in the general population in Southern Iran.Methods: In this cross-sectional ...
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Background: The overall prevalence of metabolically unhealthy (MU) phenotype in Iranian adults is a matter of debate. This study aimed to estimate the prevalence and determinants of metabolically unhealthystate in people over 30 years old in the general population in Southern Iran.Methods: In this cross-sectional population-based study, 891 participants aged ≥30 were selected using a multi-stage cluster sampling method. The study examined age, sex, education, marital status, smoking behavior, weight, height, blood pressure, fasting blood sugar, and lipid profiles. MU was defined as the existence of at least two of four constituents of metabolic abnormalities based on ATP III criteria. Data analysis was carried out in Stata version 14. Finally, a logistic regression was performed to identify the risk factors for MU prevalence.Results: The overall prevalence of MU was 49.4%, corresponding to 37.5%, 55.6%, and 60.2% of normal weight, overweight, and obese participants, respectively. MU prevalence significantly increased from 30.6% in participants aged 30-39 years to 69.7% in participants aged 60 years or older. The results of multivariate logistic regression showed that dyslipidemia (OR=2.98, CI95%:2.13-4.16), high LDL (OR=2.73, CI95%:1.77-4.20), obesity (OR=2.83, CI95%:1.84-4.36), overweight (OR=2.13, CI95%:1.53- 2.98), and higher age (OR=1.04, CI95%:1.03-1.05) was positively associated with the MU state.Conclusion: Metabolically unhealthy state is a public health problem in the study area. In terms of public health, screening for obesity and other metabolic disorders should be regularly performed in clinical practice to take appropriate preventive measures.
Vahid Rahmanian; Farhang Hooshmand; Razieh Zahedi; Narges Rahmanian; Seyede Somayeh Hoseini; Zeynab Sahraian; Maryam Chegeni
Abstract
Background: Currently, COVID-19 is a global public health problem. This study aimed to estimate the seroprevalence of antibodies related to Covid-19 in the general population in southern Iran.Methods: This cross-sectional population-based study of the seroepidemiological type investigated the serological ...
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Background: Currently, COVID-19 is a global public health problem. This study aimed to estimate the seroprevalence of antibodies related to Covid-19 in the general population in southern Iran.Methods: This cross-sectional population-based study of the seroepidemiological type investigated the serological prevalence of COVID-19 from October to December 2020 in Jahrom, Fars province, Iran. A total of 612 participants were selected using multistage cluster random sampling regardless of age or gender. The dataset in the study included the participants’ demographic information, the history of exposure to COVID-19 patients, the history of PCR tests, and the history of COVID-19 symptoms in previous months. In addition, this study examined the raw and survey weight adjusted estimates with Stata version 14. Finally, logistic regression was performed to identify risk factors for serum prevalence.Results: The participants’ mean age was 38.88±13.91 and the majority were 30 to 49 years (51.4%), with a female preponderance (58.7%). The estimated adjusted seroprevalence was 32.66 (95%CI: 28.93-36.63), with 207 positive cases for either IgG or IgM. The results of multivariable logistic regression showed that seropositivity in the participants was 4.95 times more likely associated with a history of positive PCR test (OR: 4.95, 95%CI: 2.46-10.90) and 2.14 times in patients with a history of muscle pain in previous months (OR: 2.14, 95%CI: 1.03-4.47).Conclusion: The actual number of patients with COVID-19 is significantly higher than the number of cases confirmed by the disease monitoring system based on PCR tests. Therefore, tracking individuals’ contact with confirmed patients using extensive testing and segregation of asymptomatic patients can help control the epidemic.
