A predictive model of apartment-living based on socio-economic and demographic factors with health-based approach in Iran

Glob J Health Sci. 2015 Mar 9;7(3):324-34. doi: 10.5539/gjhs.v7n3p324.

Abstract

Objective: Due to importance and progressive growth of apartment-living phenomenon in the world today, it is essential to survey the different dimensions of this modern lifestyle. The aim of this study is to predict rate of apartment-living based on the different predicted variables of socio-economic and demographic factors with approach to different health aspects.

Methods: A descriptive- analytic study was carried out between 600 apartment and 800 non-apartment residents in the Shiraz (Southern Region of Iran) through multi-stage cluster sampling during the year 2011. The statistical analysis was performed on the obtained data using multi-variable logistic regression as well as ANOVA analysis.

Result: the rate for apartment-living in above 30 years old age group was 8.31 times more than 15-30 years old, 9.6 times more in employed vs. unemployed; 6.57 and 9.49 times more in families with average and high monthly incomes, respectively, vs. family with low monthly income; 8.73 times more in owner sub-group vs. renter sub-group; and 1.30 times more in people living lonely than those living with family. People living in an apartment are in poor health status considering physical, mental and social aspects.

Conclusion: Based on the results, it is very important that policy makers in urban areas consider the determinative role of socio-economic and demographic factors, which are involved in selecting apartment-living lifestyle by urban residents and also are effective on health.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Female
  • Health Status*
  • Housing / statistics & numerical data*
  • Humans
  • Iran
  • Life Style
  • Logistic Models
  • Male
  • Middle Aged
  • Socioeconomic Factors
  • Urban Population / statistics & numerical data*
  • Young Adult