| Literature DB >> 28320328 |
Denise Rodrigues Bueno1, Maria de Fátima Nunes Marucci2, Luis Alberto Gobbo3, Manuela de Almeida-Roediger4, Yeda Aparecida de Oliveira Duarte5, Maria Lucia Lebrão6.
Abstract
BACKGROUND: The literature shows the inverse association between physical activity level (PAL) and chronic diseases that have a significant burden over health care costs. However, in upper-middle income countries and in elderly population this information are scarce.Entities:
Keywords: Diabetes; Elderly; Expenditures; Hypertension; Medicine use; Physical Activity
Mesh:
Year: 2017 PMID: 28320328 PMCID: PMC5359806 DOI: 10.1186/s12877-017-0437-0
Source DB: PubMed Journal: BMC Geriatr ISSN: 1471-2318 Impact factor: 3.921
Fig. 1Prevalence of inactive and active individuals according to the self-reported chronic disease
Description of annual expenditures for medicine use according gender, PAL and walking. (São Paulo, 2015 [n = 806])
| Annual expenditures of medicine use-US$ | ||
|---|---|---|
| Variable | Mean (CI 95%)-Median [25th- 75th] | Sum - ∑ |
| All sample | 85.40 (68.79–102.00) – 20.89 [15.05; 53.05] | 73.386.09 |
| Gender | ||
| Men | 84.90 (54.55–115.25) – 17.71 [3.22; 49.03] | 25.553.35 |
| Woman | 85.72 (66.65–14.79) – 21.69 [4.82; 54.64] | 47.832.74 |
| PAL | ||
| Active | 60.57 (43.83–77.32) – 16.67 [4.82; 43.42] | 14.816.44 |
| Insufficiently active | 95.07 (72.99–117.16) – 22.49 [4.82; 54.68] | 58.569.66 |
| Walking | ||
| Yes | 77.55 (59.57–95.54) – 17.71 [3.22; 44.97] | 42.918.59 |
| No | 102.03 (67.05–137.02) – 25.71 [6.41; 62.64] | 30.467.51 |
| Walking | ||
| No Walking | 102.03 (52.16–107.92) – 25.71 [6.41; 62.64] | 30.467.51 |
| 1–3 days | 74.13 (55.32–92.94) – 20.89 [4.82; 57.87] | 16.534.61 |
| ≥ 4 days | 80.04 (67.19–137.02) – 17.67 [3.22; 41.79] | 26.383.96 |
Note: PAL Physical activity level, CI 95%– confidence interval 95%
Prevalence of medicine use (%) and annual expenditures sum (∑ − US$) according to medicine type. (São Paulo, 2015 [n = 806])
| Type of medication | Prevalence of medicine use (%) | ∑ Annual Cost |
|---|---|---|
| Renin Angiotensin System controller | 24.3 | 4782.19 |
| Diuretics | 18.4 | 3155.22 |
| Anti-diabetics | 17.8 | 13244.32 |
| Lipid-lowering agents | 11.5 | 20221.64 |
| Beta Blockers | 10.7 | 4141.92 |
| Calcium channel blockers | 10.2 | 1622.26 |
| Cardiovasculars | 4.1 | 12710.62 |
| Anti-hypertensive | 2.0 | 10667.27 |
| Vasodilators | 1.0 | 745.99 |
Association between PAL and walking with higher annual expenditures of medicine use (≥75th), to overall sample and according to gender
| Annual expenditures of medicine use (≥75th) | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Overall ( | Men ( | Women (n = 525) | |||||||
| Groups/Variable | OR | CI 95% | p | OR | CI 95% |
| OR | CI 95% |
|
| Model 1 PAL | |||||||||
| Active | 1.00 | -- | 1.00 | -- | 1.00 | -- | |||
| Insuf. Active | 1.27 | 0.86–1.86 | 0.23 | 3.19 | 1.10–9.30 | 0.03 | 0.94 | 0.41–2.20 | 0.90 |
| Model 2 Walking | |||||||||
| Yes | 1.00 | -- | 1.00 | -- | 1.00 | -- | |||
| No | 1.39 | 0.96–2.00 | 0.07 | 1.04 | 0.53–2.02 | 0.91 | 1.51 | 0.97–2.35 | 0.07 |
| Model 3 Walking | |||||||||
| ≥ 4 days | 1.00 | -- | -- | 1.00 | -- | 1.00 | -- | ||
| 1–3 days | 1.56 | 1.00–2.43 | 0.05 | 1.78 | 0.78–4.07 | 0.16 | 1.42 | 0.83–2.43 | 0.20 |
| No Walking | 1.70 | 1.11–2.58 | 0.01 | 1.27 | 0.62–2.60 | 0.51 | 1.83 | 1.08–3.09 | 0.02 |
Note: PAL Physical activity level, OR Odds ratio, CI Confidence interval, Logistic regression models adjusted for gender, BMI age, marital status, socioeconomic status, andeducational level
Fig. 2Odd s ratio to highest expenditures according to engagement in walking. Logistic regression models