Elsevier

Annals of Epidemiology

Volume 23, Issue 4, April 2013, Pages 172-178
Annals of Epidemiology

The association between excess weight and comorbidity and self-rated health in the Italian population

https://doi.org/10.1016/j.annepidem.2013.02.003Get rights and content

Abstract

Purpose

To evaluate the association of obesity with comorbidity and with subjective health perception in a large sample representative of the Italian population and how the association differs by age and gender.

Methods

Cross-sectional data were obtained from nine waves of the “Multipurpose Household Survey,” conducted by the Italian National Institute of Statistics. Self-reported height and weight, six weight-associated diseases and self-rated health (SRH) were evaluated on 352,020 subjects aged 20 to 89 years. Comorbidity was defined as the presence of two or more diseases.

Results

The prevalence of comorbidity was significantly different between obese and normal weight subjects in all age categories. SRH was worse in obese subjects than in those of normal weight; this difference persisted, at least in females, into older ages.

Conclusions

Obesity is associated with comorbidity and self-rated health; this association varies across ages and genders. The results found for obese subjects of a given age category were similar to (or worse than) those found for older normal weight subjects of the next age class. For comorbidity, this was true both in males and in females of all the considered age categories; for SRH, this was true in particular for females and younger males.

Introduction

An epidemic of obesity has been observed in the last few years in the United States [1], as well as in Europe [2], [3], and even extends into older ages. Although obesity, mainly visceral obesity, in adult ages has been shown to be related to hypertension, type 2 diabetes, cardiovascular diseases morbidity, and mortality [4], [5], the prognostic importance of excess weight in elderly persons is questioned by some authors [6], [7], [8].

Further, some evidence shows that excess body weight may determine a lower self-rated general health perception [9]. Self-rated health (SRH) is a global summary measure of general health status that encompasses physical, mental, and social well-being [10]; it is known that it is associated with many health conditions and it predicts mortality [11], [12], [13]. Given the association between SRH and health outcomes, understanding the link between obesity and SRH could be valuable in developing strategies to improve overall health [10]. Some evidence exists that links obesity with SRH [10], [14], even if this link is not clear [10]. Furthermore, in the National Health Interview Survey it has been shown that the degree of association varies across ages and gender [14] and in the Atherosclerosis Risk in Communities Study, age, lower education, smoking, and obesity contributed to the decline in SRH over time [15]. However, studies concerning the relation between overweight, obesity, comorbidity, and SHR in subjects older than 80 years are not frequent in the literature.

The aim of the present study was to analyze the gender- and age-specific association between excess weight and comorbidity and SRH in a very large sample representative of the Italian population, comprehensive of a large number of older subjects.

Section snippets

Methods

The Multipurpose Household Survey (MHS) is a series of cross-sectional, nationally representative health and lifestyle habits examination surveys, conducted by the Italian National Institute of Statistics employing a complex probabilistic multistage design [16], [17]. All the individuals were interviewed face to face. Nonresponse rate accounted for 17% of the total sample size [17]. This study is based on data from the nine MHS waves conducted between 2001 and 2010.

From the MHS questionnaire,

Results

In the national sample (352,020 subjects; 172,420 males and 179,600 females), 54.3% of the subjects interviewed were normal weight (45.1% of males, 63.0% of females), 35.6% overweight (44.4% of males, 27.1% of females), and 10.1% obese (10.4% of males, 9.8% of females). In Table 1, the age-adjusted prevalences of the self-reported presence of selected diseases are shown according to BMI categories. Table 1 shows also the ratio between the odds for the presence of a disease estimated among

Discussion

Our study shows that, in addition to differences across ages, males and females revealed significant differences in the prevalence of both comorbidity and SRH and that the association of BMI with comorbidity and SRH varied across ages and genders. The prevalence of comorbidity was always higher among obese than normal weight subjects of the same gender and age class. Similarly, SRH was worse among obese than normal weight subjects and this difference persisted, at least in females, even

Acknowledgments

The corresponding author had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

This study was supported by grants from the MIUR project 2009KENS9K_002 ‘‘The role of intramuscular lipid infiltration: obesity, sarcopenia and aging” and partly by the Intramural Research Program of NIA.

References (47)

  • A. Heiat et al.

    An evidence based assessment of federal guidelines for overweight and obesity as they apply to elderly persons

    Arch Intern Med

    (2001)
  • E.M. Inelmen et al.

    Can obesity be a risk factor in the elderly?

    Obes Rev

    (2003)
  • I. Janssen

    Morbidity and mortality associated with an overweight BMI in older men and women

    Obesity

    (2007)
  • J.C. Seidell et al.

    The relation between overweight and subjective health according to age, social class, slimming behavior and smoking habits in Dutch adults

    Am J Public Health

    (1986)
  • Okosun IS,Choi S, Matamoros T, Dever GEA. Obesity is associated with reduced self-rated general health status: evidence...
  • B.S. Kennedy et al.

    Repeated hospitalizations and self-rated health among the elderly: a multivariate failure time analysis

    Am J Epidemiol

    (2001)
  • F.D. Wolinsky et al.

    Self-rated health: changes, trajectories, and their antecedents among African Americans

    J Aging Health

    (2008)
  • C. Bardage et al.

    Self-rated health as a predictor of mortality among persons with cardiovascular disease in Sweden

    Scand J Public Health

    (2001)
  • K. Imai et al.

    The association of BMI with functional status and self-rated health in US adults

    Obesity

    (2008)
  • R.E. Foraker et al.

    Socioeconomic status and the trajectory of self-rated health

    Age Ageing

    (2011)
  • ISTAT

    Manuali di Tecniche di Indagine

    (1989)
  • R. Fraboni et al.

    A micro analysis of the macro differences in refusal risk among metropolitan areas. The case of the Italian multipurpose survey

    Statist Meth Appl

    (2005)
  • P.S. Levy et al.

    Sampling of populations: methods and applications

    (1999)
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