Adherence to physical activity in adults with chronic diseases: ELSA-Brasil

Rev Saude Publica. 2018 Apr 9:52:31. doi: 10.11606/S1518-8787.2018052000215.


Objective: The objective of this study is to investigate the adherence and the factors that influence adherence to physical activity in adults with dyslipidemia, hypertension, or diabetes.

Methods: The analyses were based on data collected at the baseline of the 14,521 participants from the study ELSA-Brasil aged between 35 and 74 years. The level of leisure time physical activity was determined using the International Physical Activity Questionnaire. Logistic regression analyses were performed to examine the influence of the demographic data, socioeconomic conditions, perceived health status, and access to exercise facilities in the neighborhood on adherence to physical activity.

Results: Men with hypertension and dyslipidemia were more active than women. The results show that 17.8%, 15.1%, and 13.9% of the subjects who reported dyslipidemia, hypertension, and diabetes, respectively, adhere to the physical activity recommendations. The factors positively associated with adherence were higher education and income. Older individuals who reported poor perceived health, were overweight and obese, regularly smoked, and had fewer opportunities to exercise in the neighborhood presented lower adherence.

Conclusions: The number of adults with dyslipidemia, hypertension, and diabetes who adhere to the physical activity recommendations is very low. Higher education and income are positively associated with adherence, while age, excess body weight, negative perceived health, regular smoking, and lack of opportunity to exercise in the neighborhood were considered barriers to physical activity.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Brazil
  • Chronic Disease
  • Diabetes Mellitus*
  • Dyslipidemias*
  • Exercise*
  • Female
  • Humans
  • Hypertension*
  • Leisure Activities*
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Patient Compliance / statistics & numerical data*
  • Residence Characteristics
  • Risk Factors
  • Self Concept
  • Sex Factors
  • Socioeconomic Factors