scholarly journals The Determinants of Chronic Bronchitis in Aboriginal Children and Youth

2012 ◽  
Vol 19 (6) ◽  
pp. e75-e80 ◽  
Author(s):  
Alomgir Hossain ◽  
Stephanie Konrad ◽  
James A Dosman ◽  
Ambikaipakan Senthilselvan ◽  
Jesse McCrosky ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Chronic Bronchitis ◽  
Body Mass ◽  
Significant Risk ◽  
Population Characteristics ◽  
Children And Youth ◽  
Aboriginal Peoples ◽  
Cross Sectional ◽  
Aboriginal Children

BACKGROUND: There is limited knowledge concerning chronic bronchitis (CB) in Canadian Aboriginal peoples.OBJECTIVE: To determine the prevalence (crude and adjusted) of CB and its associated risk factors in Canadian Aboriginal children and youth six to 14 years of age.METHODS: Data from the cross-sectional Aboriginal Peoples Survey were analyzed in the present study. Logistic regression analysis was used to determine risk factors influencing the prevalence of CB among Aboriginal children and youth. The balanced repeated replication method was used to compute standard errors of regression coefficients to account for clustering inherent in the study design. The outcome of interest was based on the question: “Have you been told by a doctor, nurse or other health professional that you have chronic bronchitis?” Demographics, environment and population characteristics (predisposing and enabling resources) were tested for an association with CB.RESULTS: The prevalence of CB was 3.1% for boys and 2.8% for girls. Other significant risk factors of CB were age (OR 1.38 [95% CI 1.24 to 1.52] for 12 to 14 year olds versus six to eight year olds), income (OR 2.28 [95% CI 2.02 to 2.59] for income category <$25,000/year versus ≥$85,000/year), allergies (OR 1.96 [95% CI 1.78 to 2.16] for having allergies versus no allergies), asthma (OR 7.61 [ 95% CI 6.91 to 8.37] for having asthma versus no asthma) and location of residence (rural/urban and geographical location). A significant two-way interaction between sex and body mass index indicated that the relationship between the prevalence of CB and body mass index was modified by sex.DISCUSSION: The prevalence of CB was related to well-known risk factors among adults, including older age and lower annual income.

Behavioral Risk Factors and Latino Body Mass Index: A Cross-Sectional Study in Missouri

2012 ◽  
Vol 23 (4) ◽  
pp. 1750-1767 ◽  
Author(s):  
J.S. Onésimo Sandoval ◽  
Jenine K. Harris ◽  
Joel P. Jennings ◽  
Leslie Hinyard ◽  
Gina Banks
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals Cross-Sectional and Longitudinal Associations between Body Mass Index and Cardiometabolic Risk Factors in Adolescents in a Country of the African Region

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Tanica Lyngdoh ◽  
Bharathi Viswanathan ◽  
Edwin van Wijngaarden ◽  
Gary J. Myers ◽  
Pascal Bovet
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Young Adults ◽  
Body Mass ◽  
Weight Status ◽  
Cardiometabolic Risk ◽  
Linear Regression Analysis ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional

We assessed the association between several cardiometabolic risk factors (CRFs) (blood pressure, LDL-cholesterol, HDL-cholesterol, triglycerides, uric acid, and glucose) in 390 young adults aged 19-20 years in Seychelles (Indian Ocean, Africa) and body mass index (BMI) measured either at the same time (cross-sectional analysis) or at the age of 12–15 years (longitudinal analysis). BMI tracked markedly between age of 12–15 and age of 19-20. BMI was strongly associated with all considered CRFs in both cross-sectional and longitudinal analyses, with some exceptions. Comparing overweight participants with those having a BMI below the age-specific median, the odds ratios for high blood pressure were 5.4/4.7 (male/female) cross-sectionally and 2.5/3.9 longitudinally (P<0.05). Significant associations were also found for most other CRFs, with some exceptions. In linear regression analysis including both BMI at age of 12–15 and BMI at age of 19-20, only BMI at age of 19-20 remained significantly associated with most CRFs. We conclude that CRFs are predicted strongly by either current or past BMI levels in adolescents and young adults in this population. The observation that only current BMI remained associated with CRFs when including past and current levels together suggests that weight control at a later age may be effective in reducing CRFs in overweight children irrespective of past weight status.

Concentrations of sex-hormone binding globulin and corticosteroid binding globulin in serum in relation to cardiovascular risk factors and to 12-year incidence of cardiovascular disease and overall mortality in postmenopausal women.

1986 ◽  
Vol 32 (1) ◽  
pp. 146-152 ◽  
Author(s):  
L Lapidus ◽  
G Lindstedt ◽  
P A Lundberg ◽  
C Bengtsson ◽  
T Gredmark
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Body Mass ◽  
Significant Risk ◽  
Sex Hormone ◽  
Sex Hormone Binding Globulin ◽  
Hormone Binding ◽  
Corticosteroid Binding Globulin ◽  
Overall Mortality

Abstract We determined sex-hormone binding globulin (SHBG) and corticosteroid binding globulin (CBG) by radioimmunoassay of serum samples from a group of 253 women, who were 54 or 60 years old when first studied in 1968-69. The SHBG concentration was highly significantly and inversely related to body mass, body mass index, waist-to-hip circumference ratio, and serum triglyceride concentration; CBG concentration was inversely related to body mass and body mass index. The concentration of neither protein was related to whether or not the subject smoked. Decrease in the concentration of SHBG, but not of CBG, was a significant risk factor for 12-year overall mortality. The plot of the 12-year incidence of myocardial infarction vs SHBG concentration was U-shaped. We recommend that SHBG be included when serum androgens or estrogens are being evaluated as risk factors for cardiovascular disease and death.

The Correlates of Body Mass Index and Risk Factors for Being Overweight Among Preschoolers With Motor Delay

2014 ◽  
Vol 31 (2) ◽  
pp. 125-143 ◽  
Author(s):  
Ai-Wen Hwang ◽  
Chiao-Nan Chen ◽  
I-Chin Wu ◽  
Hsin-Yi Kathy Cheng ◽  
Chia-Ling Chen
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Caloric Intake ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Potential Implication ◽  
Motor Delay ◽  
Caregiver Education ◽  
Multiple Risk Factors

This cross-sectional study investigated the correlates of body mass index (BMI) and risk factors for overweight among 91 children with motor delay (MD) aged 9–73 months. Anthropometric measurements and questionnaires regarding multiple risk factors were obtained. Simple correlations between BMI percentile classifications and potential predictors were examined using Spearman’s rank/Pearson’s correlations and χ2 analysis. Multiple predictors of overweight were analyzed using logistic regression. BMI was correlated positively with higher caloric intake (rs = .21, p < .05) and negatively with passive activity (rs = -.21, p < .05). When multiple predictors were considered, more severe dysphagia (odds ratio [OR], 2.81, p = .027, 95% confidence interval [CI], 1.13–7.04) and antiepileptic drug use (OR, 19.12, p = .008, 95% CI, 2.14–170.81) had significant partial effects on overweight status. Agencies supporting early development should consider caregiver education regarding the potential implication of feeding style and medication on BMI.

scholarly journals Prevalence and distribution of hypertension and related risk factors in Jilin Province, China 2015: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. e020126 ◽  
Author(s):  
Junduo Wu ◽  
Tianyi Li ◽  
Xianjing Song ◽  
Wei Sun ◽  
Yangyu Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Alcohol Drinking ◽  
Cross Sectional Study ◽  
Jilin Province ◽  
Sectional Study ◽  
Cross Sectional ◽  
Related Risk ◽  
Modifiable Factors

ObjectiveThis study aimed to investigate the prevalence and distribution of hypertension and its related factors in Jilin province, China.DesignA cross-sectional study in four cities and four rural counties in Jilin as part of a national Chinese study.Participants and settingA total of 15 206 participants who were ≥15 years old and were selected using a stratified multistage random sampling method.Main outcome measuresThe prevalence of hypertension.ResultsThe prevalence of hypertension in Jilin province was 24.7%. Moreover, the prevalence of hypertension increased with age in both sexes, and was higher in men than in women. The modifiable factors that were associated with hypertension were body mass index, smoking and alcohol drinking. The risk factors identified are similar to those in southern China, except smoking, which has no association with hypertension prevalence in the South.ConclusionsAge, sex, body mass index, smoking and alcohol drinking were risk factors of hypertension. Control of these related risk factors, especially smoking, may be helpful in the treatment and management of hypertension in Jilin province.

scholarly journals Status gizi berhubungan positif dengan derajat nyeri sendi penderita osteoartritis lutut

2012 ◽  
Vol 8 (3) ◽  
pp. 144 ◽  
Author(s):  
Nyoman Kertia
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Knee Osteoarthritis ◽  
Body Mass ◽  
Joint Pain ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Knee Oa ◽  
Vas Score ◽  
Bivariate Correlation

Background: Knee osteoarthritis (OA) is a common disorder that is associated with significant morbidity, disability, and medical costs, particularly in its advanced stages. While the cause of knee OA remains unclear, it has been associated with various risk factors, such as age, sex, genetic predisposition, biomechanical, and obesity. Pain in osteoarthritis occurs due to combination of various factors. Pain significantly increases the medical and non medical cost in OA. Data showed that obesity will increase the mechanical stress and pain of knee OA. However, uncertainty remains regarding potential relationship between body mass index (BMI) and pain in osteoarthritis. Moreover, since obesity is one of modifiable and preventable risk factors for the onset and progression of the disease, it is important to know the correlation between BMI and severity of pain in knee OA.Objectives: To investigate the relationship between body mass index and severity of joint pain in knee osteoarthritis.Methods: A cross sectional study was conducted and subjects were osteoarthritis patients in rheumatology clinic of Sardjito general hospital. Body mass index and visual analogue scale (VAS) score were measured. Correlation between BMI and VAS score were analyzed by bivariate correlation test.Results: There were 80 patients with osteoarthritis who participated in the study. Mean BMI was 26.36 +4.23 kg/m2 and VAS score was 52.40+24.53 mm. The correlation test showed that there was a positive but non significant correlation between BMI and VAS scores (r = 0,11; p = 0,33).Conclusion: There was a positive but non significant correlation between body mass index and the severity of joint pain in knee osteoarthritis.

scholarly journals Chronic bronchitis in Aboriginal people—prevalence and associated factors

2013 ◽  
Vol 33 (4) ◽  
pp. 218-225 ◽  
Author(s):  
S Konrad ◽  
A Hossain ◽  
A Senthilselvan ◽  
JA Dosman ◽  
MD Pahwa
Keyword(s):  
Risk Factors ◽  
First Nations ◽  
Chronic Bronchitis ◽  
Rural Areas ◽  
Associated Factors ◽  
Aboriginal People ◽  
Smoking Status ◽  
Aboriginal Peoples ◽  
Cross Sectional ◽  
Factors Associated

Introduction Knowledge about chronic bronchitis (CB) among Aboriginal people in Canada is limited. The aim of this study was to determine the prevalence of CB and its associated factors among Aboriginal people aged 15 years plus. Methods Logistic regression analysis was used on data from the cross-sectional 2006 Aboriginal Peoples Survey to determine risk factors associated with CB. Results CB prevalence was 6.6% among First Nations, 6.2% among Métis and 2.4% among Inuit. Prevalence was higher among females than males (7.2% versus 5.0%). Individuals with CB were more likely to be older, living at a lower income, with a lower educational attainment and residing in rural areas. Smoking status and body mass index were also significantly associated with CB, but their effect differed by sex. Obesity was particularly significantly associated with CB among females compared with males, and current smoking and non-smoking status was significantly associated with CB among females but not males. Conclusion These findings identify factors associated with CB among Aboriginal people. As such, they may represent potentially preventable risk factors that can inform health promotion and disease prevention practices.

Association Between Hypertension, Body Mass Index, and Sleep: A Cross-Sectional Study

2020 ◽  
Vol 3 (01) ◽  
pp. 11-14
Author(s):  
Aishwarya Gonzalez Cherubal ◽  
S. Pooja ◽  
Vijaya Raghavan
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Sleep Disorder ◽  
Sleep Duration ◽  
Body Mass ◽  
Quality Of Sleep ◽  
Cross Sectional

Background: Sleep disorders can act as risk factors and even aggravate underlying conditions. With prevalence of 17% in general population, hypertension is a leading cause of morbidity and mortality in India. Though hypertension has various well established risk factors like family history, sedentary lifestyle, poor diet, smoking and age, sleep is often an understudied and overlooked factor. Body mass index is another important risk factor for various physical conditions. Associations between sleep and body mass index have been documented in many studies around the world. Although a consensus is yet to be drawn, many studies highlight that BMI related disorders could be predicted by sleep duration and quality. Materials and Methods: Two hundred consecutive hypertensive patients who were attending the OPD for follow-up were included as participants in this study after obtaining an informed consent. A semi structured proforma was designed to elicit the socio demographic profile of the participants. Each participant was assessed for the presence of sleep disorders by sleep-50 questionnaire and quality of sleep by the Pittsburgh Sleep Quality Index (PSQI). Results: Results found that BMI was significantly correlated with sleep quality, sleep duration, and sleep disorder. Hypertension was not significantly correlated to sleep quality or duration but associated to sleep disorder. Conclusion: This study found that body mass index was significantly correlated with sleep variables such as sleep duration, sleep quality, and sleep disorders. Maintaining a healthy BMI could in fact impact the amount and quality of sleep an individual receives.

Abstract 15047: Effects of Blood Pressure Percentile, Body Mass Index, and Race on Left Ventricular Mass in Children

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Michelle L Udine ◽  
Jonathan Kaltman ◽  
Qianxi Li ◽  
Jin Liu ◽  
Deyu Sun ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
African American ◽  
Body Mass ◽  
Left Ventricular ◽  
Left Ventricle Mass ◽  
Cross Sectional ◽  
Populations At Risk ◽  
African American Race

Introduction: Childhood hypertension, obesity, and left ventricular hypertrophy (LVH) are risk factors for premature cardiovascular events in adulthood, particularly among minorities. In children, race and body mass index (BMI) have been shown to be independently associated with LVH, with conflicting data on the association of systolic blood pressure (SBP) level with risk of LVH and utility of ECG in assessing LVH. This study looks at the association of SBP percentile, race, and BMI with LVH on electrocardiogram (ECG) and echocardiogram (echo) to define populations at risk. Methods: This is a retrospective cross-sectional study design utilizing a data analytics tool (Tableau) combining ECG and echo databases from 2003-2020. Customized queries identified patients ages 2-18 years old who had an outpatient ECG and echo on the same date with available SBP and body measurements. Cases with congenital heart disease, cardiomyopathy, or arrhythmia diagnoses were excluded. Echos with left ventricle mass (indexed to height 2.7 ) were included. The main outcome was LVH on echo defined as LV mass index greater than the 95 th percentile for age. Results: In a cohort of 13,926 patients, 6.9% of studies had LVH on echo. SBP percentile > 90% has a sensitivity of 36% and specificity of 82% for LVH on echo. LVH on ECG was a poor predictor of LVH on echo (9% sensitivity and 92% specificity). African American race (OR 1.31, 95% CI = 1.11, 1.55, p=.001), SBP percentile > 95% (OR=1.64, 95% CI = 1.37, 1.95, p <.001), and higher body mass index (OR= 7.43, 95% CI = 6.44, 8.55, p <.001) were independently associated with LVH on echo. Figure 1 shows the prevalence of LVH by African American race, obesity, and SBP. Conclusions: African American race, obesity, and hypertension are independent risk factors for LVH in children. Outpatient ECG has low utility in screening for LVH.

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