Trends and association of BMI between sociodemographic and living conditions variables in the Brazilian elderly: 2002/03-2008/09

Factors associated with body mass index in a cohort of older adults: Structural equation modeling analysis

BACKGROUND

Considering the interrelationship between the multiple determinants of nutritional status, analyses are needed to estimate direct and mediated effects between the variables that influence body mass index (BMI) in older adults. We aimed to verify the direct and indirect effects of sociodemographic, behavioral and health conditions on the BMI of older adults in the community.

METHODS

This is a longitudinal study based on data collection in 2015 and 2020. Descriptive analysis and Structural Equation Modeling were performed, considering p<0.05.

RESULTS

The sample consisted of 220 older adults with a mean baseline age of 68.86 years (± 7.10). Direct associations of higher BMI value with younger age, higher monthly family income, greater functional disability to perform instrumental activities of daily living and greater number of morbidities were found. In addition, education, gender, moderate to vigorous physical activity were indirectly associated with high BMI.

CONCLUSION

These findings provide insights into the complex relationship of multiple determinants of nutritional status in older adults and support the design of public health policies that consider the specificities of this population group.

[Sociodemographic characteristics associated with underweight and overweight in adults aged 50 years and over (ELSI-Brasil): differences between sexes]

The objective were to describe the prevalence of underweight and overweight, assessed by body mass index (BMI), stratified by sex and age group, and to analyze the sociodemographic characteristics associated with BMI in older women and men. This is a cross-sectional analysis of 8,974 participants aged ≥ 50 years from the baseline of the Brazilian Longitudinal Study of Aging (ELSI-Brasil, 2015-2016). BMI was classified as underweight, eutrophy, and overweight according to the participant's age. A multinomial logistic regression model was used, considering the sociodemographic characteristics of women and men. The results showed a higher prevalence of overweight in women compared to men (64.1% vs. 57.3%). In both sexes, the prevalence of underweight was higher in the longest-lived individuals, while overweight was lower. In women, the chance of underweight was higher than the chance of eutrophy in those who were single/widowed/divorced (OR = 1.95; 95%CI: 1.42-2.66) and in those living in rural areas (OR = 1.58; 95%CI: 1.01-2.49), while the chance of being overweight was lower than the chance of being eutrophy in those living in rural areas (OR = 0.78; 95%CI: 0.62-0.97) and in all geographic macro-regions related to the South Region. For men, the chance of being overweight was lower than the chance of being eutrophy among single/widowed/divorced individuals (OR = 0.58; 95%CI: 0.48-0.69). The richest had a lower chance of being underweight (OR = 0.59; 95%CI: 0.38-0.90), as well as a higher chance of being overweight (OR = 1.52; 95%CI: 1.20-1.92). In conclusion, the sociodemographic characteristics associated with BMI differed between the sexes.

Time trend of overweight and obesity prevalence among older people in Brazilian State Capitals and the Federal District from 2006 to 2019

Although the share of older people has been growing in Brazil in past decades, studies investigating trends in overweight and obesity prevalence in this population remain scarce. The objective of this study was to analyze the time trend of overweight and obesity prevalence in older adults in Brazilian State Capitals and the Federal District from 2006 to 2019. This is a time trend study based on data from the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey. The subsample used was composed of individuals aged 60 years or older (n = 202,049). Self-reported weight and height data were used to calculate Body Mass Index (BMI). Overweight (BMI ≥ 25 kg/m2) and obesity (BMI ≥ 30 kg/m2) prevalence were estimated per year for the total population and according to sex, age, schooling, region, and NCD presence. Prais-Winsten regression models were used to identify significant trends in overweight and obesity prevalence over the years. Overweight prevalence increased (p < 0.05) from 53.7 to 61.4% (1.09% per year) within the assessed period, whereas obesity prevalence increased from 16.1 to 22.3% (2.28% per year). Greater increases were observed among men, those aged 70 years old and over, with more than 9-year of schooling, and from less developed regions. The highest increases were observed in groups with the lowest values at the beginning of the study period. Results evidenced the high and growing prevalence of overweight and obesity among older people in Brazilian.

General and Central Adiposity in Older Adults in Palmas (TO): Prevalence and Associated Factors

Objectives: To evaluate the prevalence and associated factors with general and central adiposity in older adults in Palmas (TO).Methods: Cross-sectional study with older adults (≥60 years) of both sexes enrolled in the Family Health Strategy program in Palmas (TO). Sociodemographic aspects, health conditions, and functionality were evaluated as independent variables and Body Mass Index (BMI) for general adiposity and Waist Circumference (WC) for central adiposity as dependent variables. Descriptive analysis and hierarchical multiple Poisson regression with robust variance were performed.Results: A total of 449 seniors (50.6% women) from 60 to 92 years of age, average of 68.3 years, were evaluated. The prevalence of general adiposity was 46.8% (95% CI: 42.2%-51.4%) and central adiposity was 78.8% (95% CI: 74.7%-82.3%). The prevalence of both outcomes was significantly higher among women and the participants with a history of hypertension, diabetes, dyslipidemia, and rheumatic diseases and those dependent in activities of daily living (ADL) than among men. Lower frequency of adiposity (general and central) was found with increasing age. After adjustment, the prevalence of both outcomes was significantly higher in women aged 70-79 years and hypertensive.Conclusions: The results of this study confirm the need to establish nutritional status monitoring and direct obesity prevention and control interventions in programs to promote health and quality of life of older adults and those in the stages prior to old age.