Multimorbidity as an important issue among women: Results of a gender difference investigation in a large population-based cross-sectional study in West Asia

Autor: Samad Qaravi, Alireza Delavari, Akram Pourshams, Sanford M. Dawsey, Farin Kamangar, Akbar Feyz-Sani, Farhad Islami, Christian C. Abnet, Mohammad H. Derakhshan, Paul Brennan, Batoul Ahmadi, Alireza Sadjadi, Reza Malekzadeh, Azam Majidi, Amir Mahdi Sadjadi, Hossein Poustchi, Paolo Boffetta, Mohammad Amani, Mehdi Yaseri, Masoud Khoshnia, Masoomeh Alimohammadian
Přispěvatelé: Alimohammadian, M. and Majidi, A. and Yaseri, M. and Ahmadi, B. and Islami, F. and Derakhshan, M. and Delavari, A. and Amani, M. and Feyz-Sani, A. and Poustchi, H. and Pourshams, A. and MahdiSadjadi, A. and Khoshnia, M. and Qaravi, S. and Abnet, C.C. and Dawsey, S. and Brennan, P. and Kamangar, F. and Boffetta, P. and Sadjadi, A. and Malekzadeh, R.
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Gerontology
Male
Cross-sectional study
physical activity
Iran
Cohort Studies
0302 clinical medicine
Risk Factors
middle aged
Medicine
Gender differences
030212 general & internal medicine
Multiple Chronic Conditions
Marriage
multiple chronic condition
Sex Characteristics
education
adult
Regression analysis
General Medicine
Golestan Cohort Study
sexual characteristic
female
Cohort
symbols
Population study
Educational Status
Regression Analysis
ethnicity
epidemiology
Public Health
0305 other medical science
Cohort study
lifestyle
social class
Adult

sex difference
cohort analysi
Social class
Article
smoking
Regression Analysi
03 medical and health sciences
symbols.namesake
Environmental health
Humans
cross-sectional study
Poisson regression
human
Exercise
Aged
Cross-Sectional Studie
030505 public health
business.industry
Research
Risk Factor
Multimorbidity
Sex Characteristic
major clinical study
social statu
Educational Statu
Health promotion
Cross-Sectional Studies
Social Class
Cohort Studie
business
population research
Zdroj: BMJ Open
Popis: Objectives To investigate the impact of gender on multimorbidity in northern Iran. Design A cross-sectional analysis of the Golestan cohort data. Setting Golestan Province, Iran. Study population 49 946 residents (age 40–75 years) of Golestan Province, Iran. Main outcome measures Researchers collected data related to multimorbidity, defined as co-existence of two or more chronic diseases in an individual, at the beginning of a representative cohort study which recruited its participants from 2004 to 2008. The researchers utilised simple and multiple Poisson regression models with robust variances to examine the simultaneous effects of multiple factors. Results Women had a 25.0% prevalence of multimorbidity, whereas men had a 13.4% prevalence (p
Databáze: OpenAIRE