Maryam Ghaderpanahi, Farshad Sharifi, Hossein Fakhrzadeh, Mojde Mirarefin, Zohre Badamchizade, Mahshid Foroughan, Parvaneh Mohammadkhani, Bagher Larijani,
Volume 4, Issue 2 (3-2010)
Abstract
Objectives: In this study, the relation of late-life body mass index (BMI) and waist circumference with incident dementia risk was investigatedin a group of iranian elderly peopel.
Methods & Materials: In cross-sectional present study 107 elderly residents of the Kahrizak Charity Foundation aged 80 and older were participated. Dementia was assessed using Mini-Mental State Examination questionnaire. Body mass index (BMI) was computed by weight (kg)/ height (m2).
Results: In a multivariate logistic regression model, late-life overweight was indicated an independent and significant protective factor against developing dementia (Odd Ratio: 0.24, 95% Confidence Interval: 0.06-0.93), also there was no significant association between waistcircumference and risk of dementia incident.
Conclusion: Overweight in late-life was shown as a protective factor against incident dementia risk incident.
Ali Dadgari, Seyed Mohammad Mirrezaei, Seyedeh Solmaz Talebi, Yasaman Alaghemand Gheshlaghi, Marzieh Rohani-Rasaf,
Volume 16, Issue 1 (3-2021)
Abstract
Objectives: The outbreak of Coronavirus Disease 2019 (COVID-19) has influenced all age groups; however, the risk of mortality increases with age. Several factors impact the development of this disease. This study aimed to determine the relationship between some risk factors in the development of COVID-19 among community dwellers of ≥50 years of age.This cross-sectional study was performed at Shahroud University of Medical Sciences from April 1, 2019, to June 20, 2020.
Methods & Materials: This cross-sectional study was conducted on individuals aged ≥50 years, including middle-aged and aging suspected of COVID-19 referring to registration centers in Shahroud University of Medical Sciences from Feb. 20th to Jun. 20th, 2020. The basis for diagnosing COVID-19 in suspected cases was a positive Reverse Transcription Polymerase Chain Reaction (RT-PCR) test based on a nasopharyngeal swab or Computed Tomography (CT) scan. The data used included demographic information, a history of smoking, and comorbidities. Data analysis was performed in SPSS by descriptive statistics, Chi-squared test, Independent Samples t-test, and logistic regression model.
Results: In the first 4 months of the COVID-19 outbreak, 3945 suspicious cases were referred to Shahroud healthcare centers. After removing the missing cases, of the 3119 registered cases, 1348 participants were aged ≥50 years. Of all eligible participants, 602 cases were diagnosed with COVID-19, and 303 were males. The obtained data suggested that the Mean±SD age of the study subjects was 66.62±11.33 years. Diabetes (P=0.014) and other comorbidities, such as asthma, acute respiratory, hepatic and kidney diseases, and cancer in borderline significantly increased the incidence of COVID-19 by 38% and 32%, respectively. An increase of one unit in Body Mass Index (BMI) (P=0.002) enhanced the odds of infection by 4%.
Conclusion: Based on the multivariate logistic regression results, high BMI and diabetes were significant risk factors in the development of COVID-19 among aged subjects. This conclusion emphasizes the importance of BMI and diabetes in the assessment of patients in middle-aged and aging groups.
