Physical Activity Clusters and Income Inequality in Brazilian Adults

2020 ◽  
Vol 17 (9) ◽  
pp. 859-866
Author(s):  
Sofia Wolker Manta ◽  
Kelly Samara da Silva ◽  
Giovani Firpo Del Duca ◽  
Luís Eduardo A. Malheiros ◽  
Margarethe Thaisi Garro Knebel ◽  
...  

Background: Income is an important determinant of physical activity (PA) when analyzed in its different domains. Sociodemographic characteristics such as sex, age, education, and marital status reveal distinct population profiles when PA domains are analyzed in isolation. This study aimed to describe clusters of PA in domains within income inequalities and to investigate the associated sociodemographic characteristics of Brazilian adults. Methods: A secondary analysis of the National Health Survey was performed (N = 50,176). PA, sociodemographic characteristics, and family income were investigated. Low- (n = 9504) and high-income adults (n = 6330) were analyzed. Two-step cluster and Rao–Scott chi-square tests were employed. Results: High-income adults accumulated 1.06 times more PA in leisure time compared with low-income adults. Of the 3 clusters observed, the inactive cluster was more prevalent (low-income group: 65.9%; 95% confidence interval [CI], 64.1–67.5; high-income group: 84.5%; 95% CI, 82.9–86.0). Work/leisure activities (21.2%; 95% CI, 19.8–22.8) and commuting/household activities (12.9%; 95% CI, 11.8–14.1) characterized low-income adults. Work/household activities (10.9%; 95% CI, 9.6–12.3) and commuting/leisure activities (4.6%, 95% CI, 3.9–5.4) characterized high-income adults. Sex (P < .001), age (P < .001), and marital status (P = .0023) were associated with low-income clusters. Conclusion: PA clustering differs within income inequalities. PA in leisure differentiates the opportunities in low- and high-income groups, but it is representative of a very small portion of the wealth.

Author(s):  
Emma Lawlor ◽  
Ruth Hunter ◽  
Deepti Adlakha ◽  
Frank Kee ◽  
Mark Tully

Active travel (AT) has gained increasing attention as a way of addressing low levels of physical activity. However, little is known regarding the relationship between income and AT. The aim of this study was to investigate characteristics associated with undertaking AT in an adult population and by low- and high-income groups. Data collected from the Physical Activity and the Rejuvenation of Connswater (PARC) study in 2017 were used. Participants were categorised into socio-economic groups according to their weekly household income, and were categorised as participating in ‘no’ AT or ‘some’ AT and ‘sufficient’ AT. Multivariable logistic regression explored characteristics associated with AT in the full cohort, and the low- and high-income groups separately. Variables associated with AT in the low-income group were body mass index (BMI), physical activity self-efficacy, marital status, long term illness, difficulty walking and housing tenure. For the high-income group, BMI, marital status, housing tenure and education were associated with AT. For both income groups, there were consistent positive associations with the action/maintenance phase of the stage of change model across all AT categories. The findings suggest that population sub-groups may benefit from targeted initiatives to support engagement in AT and prevent further widening of inequalities.


2019 ◽  
Vol 53 ◽  
pp. 112
Author(s):  
Sofia Wolker Manta ◽  
Rodrigo Siqueira Reis ◽  
Tânia Rosane Bertoldo Benedetti ◽  
Cassiano Ricardo Rech

ABSTRACT OBJECTIVE: To analyze the association between sociodemographic characteristics of census tracts and the presence/quality of public open spaces and physical activity facilities. METHODS: A cross-sectional study was conducted in 643 census tracts in Florianópolis, Brazil, the presence and quality of public open spaces and physical activity facilities were objectively analyzed and the data by census tracts using Geographic Information Systems was treated. Outcomes were analyzed considering the census tracts as having: ≥ 1 public open spaces; ≥ 1 public open spaces with high quality; ≥ 2 physical activity facilities and high-quality physical activity facilities. Sociodemographic characteristics were the independent variables. Logistic regression analysis was performed. RESULTS: Census tracts with a medium-income (OR = 1.8; 95%CI 1.1–3.0) and high-income (OR = 2.4; 95%CI 1.4–4.0), in those with medium (OR = 1.7; 95%CI 1.0–2.7) and high residential density (OR = 2.0; 95%CI 1,2–3.3), and with higher proportions of older adults (OR = 3.3; 95%CI 1.9–5.7) had a higher proportion of public open spaces. Census tracts with higher proportions of children/adolescents (OR = 0.3; 95%CI 0.2–0.6) and non-white residents (OR= 0.6; 95%CI 0.3–0.9) were less likely to contain public open spaces. The tracts with medium (OR = 4.0; 95%CI 1.4–11.3) and high-income (OR = 3.6; 95%CI 1.2–10.2) were more likely to contain public open spaces with ≥ 2 structures for physical activity, compared with those with low-income. We observed the inverse in sectors with a high proportion of non-white residents (OR = 0.3; 95%CI 0.1–0.9). CONCLUSIONS: Census tracts with higher proportions of children or adolescents, non-white individuals and those in the low-income strata had lower odds of containing public open spaces and physical activity facilities.


Author(s):  
Seungmin Jeong ◽  
Sung-il Cho ◽  
So Yeon Kong

We investigated whether income level has long-term effects on mortality rate in stroke patients and whether this varies with time after the first stroke event, using the National Health Insurance Service National Sample Cohort data from 2002 to 2015 in South Korea. The study population was new-onset stroke patients ≥18 years of age. Patients were categorized into Category (1) insured employees and Category (2) insured self-employed/Medical Aid beneficiaries. Each category was divided into three and four income level groups, retrospectively. The study population comprised of 11,668 patients. Among the Category 1 patients (n = 7720), the low-income group’s post-stroke mortality was 1.15-fold higher than the high-income group. Among the Category 2 patients (n = 3948), the lower income groups had higher post-stroke mortality than the high-income group (middle-income, aOR (adjusted odds ratio) 1.29; low-income, aOR 1.70; Medical Aid beneficiaries, aOR 2.19). In this category, the lower income groups’ post-stroke mortality risks compared to the high-income group were highest at 13–36 months after the first stroke event(middle-income, aOR 1.52; low-income, aOR 2.31; Medical Aid beneficiaries, aOR 2.53). Medical Aid beneficiaries had a significantly higher post-stroke mortality risk than the high-income group at all time points.


PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0262221
Author(s):  
Md. Shahjalal ◽  
Samar Kishor Chakma ◽  
Tanvir Ahmed ◽  
Irin Yasmin ◽  
Rashidul Alam Mahumud ◽  
...  

Background While conventional medicine (CM) is commonly used to treat non-communicable diseases (NCDs), complementary and alternative medicine (CAM) is gaining popularity as a healthcare option in Bangladesh. We aimed to investigate the prevalence and factors associated with using CAM solely and using CAM in conjunction with CM for chronic illness treatment among NCD patients in Bangladesh. Methods A multicenter cross-sectional study was conducted, including 549 adults with a confirmed chronic illness diagnosis from three tertiary care hospitals in Dhaka city. Interviews were used to gather socio-demographic data, while medical records were used to get information on chronic illnesses. A multinomial logistic regression model was used to determine the associated factors of utilizing CAM primarily and CAM use in conjunction with CM to manage the chronic disease. Results Out of 549 NCD patients (282 women [51.4%], mean [standard deviation] age 45.4 [12.8] years), 180 (32.8%) ever used CAM for the treatment of chronic illness. Also, 15.3% of patients exclusively used CAM among the NCD patients, while 17.5% used CAM in conjunction with CM. Homeopathy medicine was the most prevalent type of treatment among CAM users (52.2%). Furthermore, 55.5% of CAM users said they used it due to its less adverse effects, and 41.6% trusted its effectiveness for chronic illness. Elderly patients (≥60 years) preferred CAM in complementary with CM, but they did not rely only on CAM. According to the multinomial regression analysis, unmarried patients, predominantly in the younger age group, adopted CAM significantly for chronic illness treatment (Relative risk ratio, RRR = 0.29, 95% CI = 0.12–0.71, reference = Unmarried). Patients in the high-income group used CAM in conjunction with CM (RRR = 6.26, 95% CI = 1.35–18.90, reference: low-income), whereas patients in the high-income group did not rely on CAM alone (RRR = 0.99, 95% CI = 0.34–2.85). Conclusion Although CM remains the mainstream of health care in Bangladesh, CAM services play an essential role in people’s health care, particularly in treating chronic illnesses. Physicians of Bangladesh should be aware that their patients may be using other services and be prepared to ask and answer questions regarding the risks and benefits of using CAM in addition to regular medical care. Thus, clinicians required to follow best-practice guidelines, which are currently not practiced in Bangladesh, when disseminating information regarding integrative techniques that combine CM and CAM approaches.


2020 ◽  
Vol 110 (6) ◽  
pp. 868-870
Author(s):  
Courtney Keeler ◽  
Wendy Max ◽  
Tingting Yao ◽  
Yingning Wang ◽  
Xueying Zhang ◽  
...  

Objectives. To compare the association of California Proposition 56 (Prop 56), which increased the cigarette tax by $2 per pack beginning on April 1, 2017, with smoking behavior among low- and high-income adults. Methods. Drawing on a sample of 17 206 low-income and 21 324 high-income adults aged 21 years or older from the 2012 to 2018 California Behavioral Risk Factor Surveillance System data, we explored 2 outcomes: current smoking prevalence and smoking intensity (average number of cigarettes per day among current smokers). For each income group, we estimated a multivariable logistic regression to analyze the association of Prop 56 with smoking prevalence and a multivariable linear regression to analyze the association of Prop 56 with smoking intensity. Results. Although we observed no association between smoking intensity and Prop 56, we found a statistically significant decline in smoking prevalence among low-income adults following Prop 56. No such association was found among the high-income group. Conclusions. Given that low-income Californians smoke cigarettes at greater rates than those with higher incomes, our results provide evidence that Prop 56 is likely to reduce income disparities in cigarette smoking in California.


Author(s):  
. Yunita ◽  
. Lifianthi ◽  
Muhammad Arbi

The study was conducted on 150 respondents living in Palembang city that were randomly selected based on the assumptions of community groups that have high income groups (50 respondents), medium income groups (50 respondents), and low income groups (50 respondents). The purpose of the study is to describe the characteristics of consumers and analyze consumer preferences for rice attributes based on the level of household income in Palembang city. This showed that the characteristics of households from the three level groups, both from the high, medium, and low income groups are very diverse which can influence the decision to choose and buy rice to be consumed. Rice attributes include the level of rice extinction, rice retention, taste of rice, aromatic, type of rice, volume of development, head rice, broken grains, grain groats, lime grains, and color. Household consumer preferences based on the importance level of rice attributes for the very important category most selected in the high and medium income groups are the quality before the rice becomes rice, while the low income group is a resilience factor in rice. Household consumer preferences based on the level of preference for the attribute of rice for the category of very like the most chosen in the high income group is the taste of rice, for the medium income group is rice cake and the low income group is rice and head rice.


Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4503
Author(s):  
Wen-Chi Yang ◽  
Wen-Min Lu ◽  
Alagu Perumal Ramasamy

This study estimates the environmental efficiency of 150 economies during the period of 2010–2017 to understand the environmental efficiency trend worldwide. This research adopts the meta-Malmquist approach to compare and capture the dynamic change in environmental efficiency among different income groups. The empirical results indicate that among the four income groups, only the low-income group suffers from regression in terms of environmental efficiency, while the high-income group achieves the greatest progress. For the high-income group, the source of improvement originates from the frontier shift rather than from efficiency change. By contrast, the improvement of the lower-income groups results from the catching-up effect. With regard to the effect of the Paris Agreement, only the lower middle-income group exhibits a statistical difference between the two periods, and environmental efficiency increases after the adoption of the Paris Agreement. The fight against global warming cannot succeed by relying only on specific countries. The whole world must cooperate and improve together, and thus, additional help must be devoted to the low-income group. The statistical results support that differences exist in terms of environmental efficiency among the four income groups. In particular, the low-income group is deteriorating.


2011 ◽  
Vol 8 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Young-Shin Lee ◽  
Susan S. Levy

Objectives:To examine physical activity (PA) in multiple contexts (household, walking, and leisure-time PA) and blood pressure (BP) across gender and income among older adults living independently.Methods:A convenience sample of 372 older adults completed 2 BP measurements and PA questionnaires.Results:Older adults with high incomes (≥$30,000) engaged in less household activity, more leisure time PA and better controlled their BP than those with low incomes (<$30,000). Men walked more than women. Older women in the low-income group had less controlled BP than those women in the high-income group. Participants with normal or controlled BP were engaged in more household and walking activities than those with uncontrolled BP.Conclusion:Findings suggest that older men and women at high or low-income levels have different mode of PA and BP management that should be considered for intervention strategies.


Author(s):  
Bertrand Ebner ◽  
Morgan Karetnick ◽  
Jelani Grant ◽  
Louis Vincent ◽  
Jennifer Maning ◽  
...  

Introduction: Due to the inability to keep up with the demand for heart transplantation, there is an increased utilization of left ventricular assist devices (LVAD). However, paucity of data exists regarding the association of household income with in-hospital outcomes after LVAD implantation. Methods: Retrospective cohort study using the NIS to identify all patients ≥18 years who underwent LVAD implantation from 2011-2017. Statistical analysis was performed comparing low household income (≤50th percentile) and high income (>50th percentile). Results: A total of 25,503 patients underwent LVAD implantation. The low-income group represented 53% and the high-income group corresponded to 47% of the entire cohort. The low-income group was found to be younger (mean age 55 ±14 vs. 58 ±14 years), higher proportion of females (24% vs. 22%), and higher proportion of blacks (32% vs. 16%, p<0.001 for all). The low-income group was found to have higher prevalence of hypertension, chronic pulmonary disease, smoking, dyslipidemia, obesity and pulmonary hypertension (p<0.001 for all). However, the high-income cohort had higher rate of atrial tachyarrhythmias and end-stage renal disease (p<0.001). During hospitalization, patients in the high-income group had increased rates of ischemic stroke, acute kidney injury, acute coronary syndrome, bleeding and need of extracorporeal membrane oxygenation (p<0.001 for all). We found that the unadjusted mortality had an OR 1.30 (CI [1.21-1.41], p<0.001) and adjusted mortality of OR 1.14 (CI [1.05-1.23], p=0.002). Conclusion: In patients undergoing LVAD implantation nationwide, low-income was associated with increased comorbidity burden, younger age, and fewer in-hospital complications and all-cause mortality.


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