Obesity is a major determinant of cardiovascular disease in South America. However, population-based data are limited.
A total of 7,524 women and men, aged 35 to 74 years old, were randomly selected ...from 4 cities in the Southern Cone of Latin America between February 2010 and December 2011. Obesity clinical measurements and cardiovascular risk factors were measured using standard methodology.
The prevalence of obesity and central obesity were 35.7% and 52.9%, respectively. The prevalence of obesity and central obesity were higher in women, and even higher in women with lower education compared with women with higher education. In men and women obesity was associated with a higher prevalence of diabetes, odds ratio (OR) 2.38 (95% Confidence Interval CI: 1.86 to 3.05) and 3.01 (95%CI 2.42 to 3.74) respectively, hypertension (OR 2.79 (95%CI 2.32 to 3.36) and 2.40 (95%CI 2.05 to 2.80) respectively, dyslipidemia (OR 1.83 (95%CI 1.50 to 2.24) and 1.69 (95%CI 1.45 to 1.98), respectively, low physical activity (OR 1.38(95%CI 1.14 to 1.68) and 1.38 (95%CI 1.18 to 1.62) respectively and a lower prevalence of smoking (OR, 0.65 (95%CI 0.53 to 0.80) and 0.58(95%CI 0.48 to 0.70) respectively.
Obesity and central obesity are highly prevalent in the general population in the Southern Cone of Latin America and are strongly associated with cardiovascular risk factor prevalence. These data suggest that efforts toward prevention, treatment, and control of obesity should be a public health priority in the Southern Cone of Latin America.
The burden of obesity differs by socioeconomic status. We aimed to characterise the prevalence of obesity among adult men and women in Latin America and the Caribbean by socioeconomic measures and ...the shifting obesity burden over time.
We did a cross-sectional series analysis of obesity prevalence by socioeconomic status by use of national health surveys done between 1998 and 2017 in 13 countries in Latin America and the Caribbean. We generated equiplots to display inequalities in, the primary outcome, obesity by wealth, education, and residence area. We measured obesity gaps as the difference in percentage points between the highest and lowest obesity prevalence within each socioeconomic measure, and described trends as well as changing patterns of the obesity burden over time.
479 809 adult men and women were included in the analysis. Obesity prevalence across countries has increased over time, with distinct patterns emerging by wealth and education indices. In the most recent available surveys, obesity was most prevalent among women in Mexico in 2016, and the least prevalent among women in Haiti in 2016. The largest gap between the highest and lowest obesity estimates by wealth was observed in Honduras among women (21·6 percentage point gap), and in Peru among men (22·4 percentage point gap), compared with a 3·7 percentage point gap among women in Brazil and 3·3 percentage points among men in Argentina. Urban residents consistently had a larger burden than their rural counterparts in most countries, with obesity gaps ranging from 0·1 percentage points among women in Paraguay to 15·8 percentage points among men in Peru. The trend analysis done in five countries suggests a shifting of the obesity burden across socioeconomic groups and different patterns by gender. Obesity gaps by education in Mexico have reduced over time among women, but increased among men, whereas the gap has increased among women but remains relatively constant among men in Argentina.
The increase in obesity prevalence in the Latin American and Caribbean region has been paralleled with an unequal distribution and a shifting burden across socioeconomic groups. Anticipation of the establishment of obesity among low socioeconomic groups could provide opportunities for societal gains in primordial prevention.
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The Patient Health Questionnaire-9 (PHQ-9) is a brief tool to assess the presence and severity of depressive symptoms. This study aimed to validate and calibrate the PHQ-9 to determine appropriate ...cut-off points for different degrees of severity of depression in Argentina.
We conducted a cross-sectional study on an intentional sample of adult ambulatory care patients with different degrees of severity of depression. All patients who completed the PHQ-9 were further interviewed by a trained clinician with the Mini International Neuropsychiatric Interview (MINI) and the Beck Depression Inventory-II (BDI-II). Reliability and validity tests, including receiver operating curve analysis, were performed.
One hundred sixty-nine patients were recruited with a mean age of 47.4 years (SD = 14.8), of whom 102 were females (60.4%). The local PHQ-9 had high internal consistency (Cronbach's alpha = 0.87) and satisfactory convergent validity with the BDI-II scale Pearson's correlation = 0.88 (p < 0.01). For the diagnosis of Major Depressive Episode (MDE) according to the MINI, a PHQ-9 ≥ 8 was the optimal cut-off point found (sensitivity 88.2%, specificity 86.6%, PPV 90.91%). The local version of PHQ-9 showed good ability to discriminate among depression severity categories according to the BDI-II scale. The best cut off points were 6-8 for mild cases, 9-14 for moderate and 15 or more for severe depressive symptoms respectively.
The Argentine version of the PHQ-9 questionnaire has shown acceptable validity and reliability for both screening and severity assessment of depressive symptoms.
According to the Argentine National Risk Factor Survey (ANRFS), between 2005 and 2009, self-reported Diabetes increased in Argentina from 8.4% to 9.6%, accompanied by a raise in the prevalence of ...obesity and low physical activity. In the same period, it also increased blood sugar checks from 69.3% to 75.7%. Since surveillance data in Argentina rely on self-reports, the estimated prevalence of diabetes may be affected by an increase in the proportion of subjects with access to preventive services. We evaluated the independent effect of a recent blood sugar check, on the increase in self-reported diagnoses of diabetes between 2005 and 2009.
A secondary analysis of data from the 2005 and 2009 ANRFS was performed. Diabetes was defined as having been diagnosed Diabetes or high blood sugar by a health professional, obesity was calculated as BMI ≥ 30 kg/m(2), based on self-reported height and weight and physical activity was measured using the International Physical Activity Questionnaire. We used logistic regression models to explore the relationship between prevalence of self-reported diabetes and recent blood sugar check as the main predictor.
The prevalence of diabetes rose from 8.4% to 9.6%; obesity from 14.5% to 18% and low physical activity from 46.2% to 55%, between 2005 and 2009. Among those who recently checked their blood sugar no differences were found in the prevalence of diabetes: 13% in 2005 vs. 13.2% in 2009. Findings of the multivariable analysis showed that obesity and low physical activity were significantly associated with self reported diabetes in the adjusted model (OR = 1.80 for obesity, and OR = 1.12 for low physical activity but the strongest predictor was recent blood sugar check (OR = 4.75).
An increased prevalence of self-reported diabetes between 2005 and 2009 might indicate an improvement in the access to preventive services rather than a positive increase in the prevalence of diabetes.
Health care utilization is an important step to disease management, providing opportunities for prevention and treatment. Anderson's Health Behavior Model has defined utilization by need, ...predisposing, and enabling determinants. We hypothesize that need, predisposing, and enabling, highlighting behavioral factors are associated with utilization in Argentina.
We performed a logistic regression analysis of the 2005 and 2009 Argentinean Survey of Risk Factors, a cohort of 41,392 and 34,732 individuals, to explore the association between need, enabling, predisposing, and behavioral factors to blood pressure measurement in the last year.
In the 2005 cohort, blood pressure measurement was associated with perception of health, insurance coverage, basic needs met, and income. Additionally, female sex, civil state, household type, older age groups, education, and alcohol use were associated with utilization. The 2009 cohort showed similar associations with only minor differences between the models.
We explored the association between utilization of clinical preventive services with need, enabling, predisposing, and behavioral factors. While predisposing and need determinants are associated with utilization, enabling factors such as insurance coverage provides an area for public intervention. These are important findings where policies should be focused to improve utilization of preventive services in Argentina.
Understanding patterns of socio-economic inequalities in tobacco consumption is key to design targeted public health policies for tobacco control. This study examines socio-economic inequalities in ...smoking and involuntary exposure to tobacco smoke between 2005 and 2013.
Data were derived from the Argentine National Risk Factors Surveys, conducted in 2005, 2009, and 2013. Two inequality measures were calculated: the age-adjusted prevalence ratio (PR) and the disparity index (DI). Educational level, household income per consumer unit and employment status were used as proxies for socio-economic status (SES). Generalized linear models were used in the analysis.
Prevalence of smoking decreased from 29.7% to 25.1% between 2005 and 2013, mainly in women (p<0.001). Despite the overall prevalence reduction, socio-economic inequalities in smoking persisted. For both men and women, the DI was moderately high for smoking (14.47%-33.06%) across the three surveys. In men, the PR indicated a higher smoking prevalence for lower educational levels and lower household income throughout the analyzed period. In women, unlike previous years, the 2013 survey showed disparity related to unemployment. Involuntary exposure to tobacco smoke in 2013 was associated with educational level and household income, with lower involuntary exposure among those with higher SES.
While overall smoking rates have decreased in Argentina, socio-economic disparities related to tobacco smoking persist. Comprehensive tobacco control programs targeted to address these inequalities are essential in developing strategies to reduce health disparities in tobacco-related diseases.
Police officials' stressful and physically demanding activities were reported with increased risk of cardiovascular disease (CVD). This study explored the prevalence of CVD risk factors such as ...hypertension, diabetes, tobacco use, alcohol consumption, and overweight among police officials in Kerala, India.
A cross-sectional study was conducted among 255 police officials in selected police stations in the Thiruvananthapuram district, Kerala. The World Health Organization STEPs questionnaire for non-communicable disease risk factor surveillance was used to collect information. We collected STEP 1(demographics, tobacco use, alcohol consumption, physical activity, and diet) and STEP 2 (weight, height, and blood pressure) data. Multivariable analysis was done to identify factors associated with hypertension.
The mean age of participants was 42 years (range:30-55 years) and the majority were men (83.5%). Current use of tobacco or alcohol was reported by 22.7% of the participants. The prevalence of overweight was 64.7% and physical inactivity was 35.1%. Self-reported prevalence of diabetes was 7.5% and hyperlipidemia was 11.4%. Hypertension prevalence was 40.4%. Among hypertensives, 35.9% were aware, 20.4% were treated, and 5.8% had controlled blood pressure. The control rate was 28.6% among treated hypertensives. When controlling for age, diabetic Odds Ratio (OR): 3.57, 95% CI:1.16-10.90 and overweight (OR:1.88, CI:1.06-3.35) participants were more likely to have hypertension compared to their counterparts.
Police officers have a high prevalence of significant CVD risk factors such as hypertension, physical inactivity, and being overweight. These findings reinforce the need for interventions addressing the above risk factors to prevent CVD in this population.
Prior studies have suggest that religiosity mitigates symptoms of depression. However, population-based data in South America are limited. This study determines the prevalence of religiosity and ...explores its association with depression in four cities of the Southern cone of Latin-America. In the CESCAS I study 7524 participants aged between 35 and 74 years old were recruited between 2011 and 2012 from randomly selected samples in 4 cities (Bariloche and Marcos Paz, Argentina; Temuco, Chile; and Pando-Barros Blancos, Uruguay). Religiosity was assessed with a questionnaire from the Hispanic Community Health Study/Study of Latinos. Two dimensions were used: 1) recognition as belonging to a religion; and 2) frequency of participation in religious activities. Depression was measured using the PHQ-9. Prevalence of religiosity was described by sociodemographic characteristics. Association between religiosity and depression was examined through logistic regression models controlling for sex, age and other potential confounders. Weekly religious activities were reported by 32.3% (95% CI: 30.1, 33.6) of participants. Prevalence of major depressive episode (MDE) was 14.6% (95% CI: 13.6, 15.6). After controlling for confounders, older women (≥65 years) who reported religious affiliation had 70% lower likelihood of having MDE (OR: 0.3; 95% CI, 0.1, 0.8). Moreover, in this group, women participating in religious activities more than once per week compared with "never" had 50% lower likelihood of having a MDE (OR: 0.5; 95% CI: 0.3, 0.9). No association between religious activities and depression was found in men. Religiosity is highly prevalent among adults in four cities of South America. Our study found an inverse association between religiosity and depression only in women, stronger in olders. Although longitudinal studies are necessary to determine the true nature of these relationships, religiosity may be a relevant factor that health care providers could take into account when exploring depression in their patients.
Purpose
Little is known on the association of health care access and health-related quality of life (HRQoL) in people with diabetes in the Southern Cone of Latin America (SCLA).
Methods
We analyzed ...data of 1025 participants of CESCAS I. To determine HRQoL, we used the SF-12 physical (PCS-12) and mental component summary (MCS-12). We compared four groups regarding HRQoL: (a) insured people without self-reported barriers to health care, (b) uninsured people without self-reported barriers to health care, (c) insured people with self-reported barriers to health care, and (d) uninsured people with self-reported barriers to health care. We conducted linear regressions with PCS-12 and MCS-12 as outcome. We adjusted for sociodemographic and disease-related factors and having access to a primary physician.
Results
In the first group, there were 407, in the second 471, in the third 44, and in the fourth group 103 participants. Compared to the first group, PCS-12 was 1.9 points lower (95% Confidence Interval, CI: − 3.5, − 0.3) in the second, 4.5 points (95% CI: − 8.1, − 1) lower in the third, and 6.1 points lower (95% CI: − 8.7, − 3.6) in the fourth group. Compared to the first group, MCS-12 was 0.6 points lower (95% CI: − 2.7, 1.4) in the second, 4.8 points lower (95% CI: − 9.3, − 0.3) in the third, and 5.8 points lower (95% CI: − 9.1, − 2.5) in the fourth group.
Conclusion
In the SCLA, impeded access to care is common in people with diabetes. Self-reported barriers to care may be more important than insurance status in determining HRQoL.
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