Evidence-Based Approach to Healthy Food Choices for Hispanic Women

2020 ◽  
pp. 154041532092147
Author(s):  
Beth A. McVey ◽  
Raul Lopez ◽  
Blanca Iris Padilla
Keyword(s):  
Health Care ◽  
Body Mass Index ◽  
Nutrition Education ◽  
Body Mass ◽  
Hispanic Women ◽  
Food Choices ◽  
The United States ◽  
Culturally Sensitive ◽  
Healthy Food ◽  
Obesity Status

Obesity rates have reached epidemic proportions in the United States and Hispanic women, particularly Mexican American women, are disproportionately affected. This quality improvement project, which took place at a clinic in East Los Angeles, California, implemented body mass index calculation, an eight-item starting the conversation (STC) tool, and culturally sensitive nutrition education in an effort to change the overweight/obesity status of these women. There were 36 female Hispanic patients who participated in this study. There was a significant decrease in body mass index percentile from pre implementation to 2-months post implementation. The total STC score decreased significantly from pre implementation to 2-months post implementation, indicating a positive change in dietary behavior. Dietary screening and intervention tools can assist health care providers with early identification of overweight/obesity status and prevention of overweight/obesity-related diseases. The STC tool will allow the health care provider to start the conversation about healthy food choices and provide for further culturally sensitive nutrition education.

scholarly journals Obesity Status and Colorectal Cancer Screening in the United States

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Karima A. Kendall ◽  
Euni Lee ◽  
Ilene H. Zuckerman ◽  
Linda Simoni-Wastila ◽  
Marlon Daniel ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
United States ◽  
Body Mass Index ◽  
Body Mass ◽  
The United States ◽  
Screening Tests ◽  
Morbidly Obese ◽  
Medicare Beneficiaries ◽  
Crc Screening ◽  
Obesity Status

Background. Findings from previous studies on an association between obesity and colorectal cancer (CRC) screening are inconsistent and very few studies have utilized national level databases in the United States (US).Methods. A cross-sectional study was conducted using data from the 2005 Medicare Current Beneficiary Survey to describe CRC screening rate by obesity status.Results. Of a 15,769 Medicare beneficiaries sample aged 50 years and older reflecting 39 million Medicare beneficiaries in the United States, 25% were classified as obese, consisting of 22.4% “obese” (30 ≤ body mass index (BMI) < 35) and 3.1% “morbidly obese” (BMI ≥ 35) beneficiaries. Almost 38% of the beneficiaries had a body mass index level equivalent to overweight (25 ≤ BMI < 30). Of the study population, 65.3% reported having CRC screening (fecal occult blood testing or colonoscopy). Medicare beneficiaries classified as “obese” had greater odds of CRC screening compared to “nonobese” beneficiaries after controlling for other covariates (ORadj= 1.25; 95% CI: 1.12–1.39).Conclusions. Findings indicate that obesity was not a barrier but rather an assisting factor to CRC screening among Medicare beneficiaries. Future studies are needed to evaluate physicians’ ordering of screening tests compared to screening claims among Medicare beneficiaries to better understand patterns of patients’ and doctors’ adherence to national CRC screening guidelines.

Brain substrates of unhealthy versus healthy food choices: influence of homeostatic status and body mass index

2017 ◽  
Vol 42 (3) ◽  
pp. 448-454 ◽  
Author(s):  
I H Harding ◽  
Z B Andrews ◽  
F Mata ◽  
S Orlandea ◽  
I Martínez-Zalacaín ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Food Choices ◽  
Healthy Food

Body phenotypes and sexual maturation in Brazilian and US adolescents: evidence for a change in body mass index Category

2020 ◽  
pp. 1-26
Author(s):  
Jéssica Cumpian Silva ◽  
Ana Elisa Madalena Rinaldi ◽  
Francisco de Assis Guedes Vasconcelos ◽  
Maria Alice Altenburg Assis ◽  
Camila Medeiros Mazzeti ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Phase Angle ◽  
Sexual Maturation ◽  
Biochemical Parameters ◽  
Pubertal Development ◽  
The United States ◽  
Pubic Hair ◽  
Cholesterol Ratio

ABSTRACT Objective: Our study aimed to describe body phenotypes (BP) estimated by multivariate analysis and their association with body mass. Design: Body phenotypes were defined based on demographic variables, anthropometric data (body mass, height, skinfolds and circumferences), body composition (phase angle measured by bioelectrical impedance analysis), biochemical parameters (triglycerides, glucose, total cholesterol ratio/Low Density Lipoproteins (LDL), haemoglobin and sexual maturation (pubic hair and breasts or gonads). Analysis of variance (ANOVA) was performed to verify the differences between skin colour and the stages of pubertal development, body phenotypes, body composition, anthropometric, and biochemical variables. Setting: Cities of São Paulo-SP, Piracicaba-SP and Florianópolis-SC from Brazil and the United States. Participants: 9269 adolescents aged between 10 to 15 years old. Results: The composition of BP was similar in all surveys, which are: BP1 was composed by skinfolds, body mass and circumferences variables; BP2 by pubic hair, breast in girls or gonad in boys, height and age; BP3 by cholesterol, triglycerides and glucose; and BP4 by phase angle, haemoglobin and glucose (negative loading). There was a strong correlation (r = 0.9, p <0.001) between BP1 and body mass index. Conclusion: We highlighted independence observed between biochemical parameters, anthropometry, body composition and sexual maturation. BP may support the calculation of scores for diagnosis of obesity based on anthropometric variables and overcome ambiguity in the isolated use of body mass index.

scholarly journals Trends in obesity and adiposity measures by race or ethnicity among adults in the United States 2011-18: population based study

BMJ ◽  
2021 ◽  
pp. n365
Author(s):  
Buyun Liu ◽  
Yang Du ◽  
Yuxiao Wu ◽  
Linda G Snetselaar ◽  
Robert B Wallace ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Ethnic Groups ◽  
Body Mass ◽  
Body Fat ◽  
Lean Mass ◽  
The United States ◽  
Population Based ◽  
Body Fat Percentage ◽  
Fat Percentage

AbstractObjectiveTo examine the trends in obesity and adiposity measures, including body mass index, waist circumference, body fat percentage, and lean mass, by race or ethnicity among adults in the United States from 2011 to 2018.DesignPopulation based study.SettingNational Health and Nutrition Examination Survey (NHANES), 2011-18.ParticipantsA nationally representative sample of US adults aged 20 years or older.Main outcome measuresWeight, height, and waist circumference among adults aged 20 years or older were measured by trained technicians using standardized protocols. Obesity was defined as body mass index of 30 or higher for non-Asians and 27.5 or higher for Asians. Abdominal obesity was defined as a waist circumference of 102 cm or larger for men and 88 cm or larger for women. Body fat percentage and lean mass were measured among adults aged 20-59 years by using dual energy x ray absorptiometry.ResultsThis study included 21 399 adults from NHANES 2011-18. Body mass index was measured for 21 093 adults, waist circumference for 20 080 adults, and body fat percentage for 10 864 adults. For the overall population, age adjusted prevalence of general obesity increased from 35.4% (95% confidence interval 32.5% to 38.3%) in 2011-12 to 43.4% (39.8% to 47.0%) in 2017-18 (P for trend<0.001), and age adjusted prevalence of abdominal obesity increased from 54.5% (51.2% to 57.8%) in 2011-12 to 59.1% (55.6% to 62.7%) in 2017-18 (P for trend=0.02). Age adjusted mean body mass index increased from 28.7 (28.2 to 29.1) in 2011-12 to 29.8 (29.2 to 30.4) in 2017-18 (P for trend=0.001), and age adjusted mean waist circumference increased from 98.4 cm (97.4 to 99.5 cm) in 2011-12 to 100.5 cm (98.9 to 102.1 cm) in 2017-18 (P for trend=0.01). Significant increases were observed in body mass index and waist circumference among the Hispanic, non-Hispanic white, and non-Hispanic Asian groups (all P for trend<0.05), but not for the non-Hispanic black group. For body fat percentage, a significant increase was observed among non-Hispanic Asians (30.6%, 29.8% to 31.4% in 2011-12; 32.7%, 32.0% to 33.4% in 2017-18; P for trend=0.001), but not among other racial or ethnic groups. The age adjusted mean lean mass decreased in the non-Hispanic black group and increased in the non-Hispanic Asian group, but no statistically significant changes were found in other racial or ethnic groups.ConclusionsAmong US adults, an increasing trend was found in obesity and adiposity measures from 2011 to 2018, although disparities exist among racial or ethnic groups.

scholarly journals Effects of a novel mobile health intervention compared to a multi-component behaviour changing program on body mass index, physical capacities and stress parameters in adolescents with obesity: a randomized controlled trial

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
A. Stasinaki ◽  
D. Büchter ◽  
C.-H. I. Shih ◽  
K. Heldt ◽  
S. Güsewell ◽  
...  
Keyword(s):  
Health Care ◽  
Body Mass Index ◽  
Muscle Mass ◽  
Body Mass ◽  
Body Fat ◽  
Mobile Health ◽  
Health Intervention ◽  
Randomized Controlled ◽  
Physical Capacities ◽  
Stress Parameters

Abstract Background Less than 2% of overweight children and adolescents in Switzerland can participate in multi-component behaviour changing interventions (BCI), due to costs and lack of time. Stress often hinders positive health outcomes in youth with obesity. Digital health interventions, with fewer on-site visits, promise health care access in remote regions; however, evidence for their effectiveness is scarce. Methods This randomized controlled not blinded trial (1:1) was conducted in a childhood obesity center in Switzerland. Forty-one youth aged 10–18 years with body mass index (BMI) > P.90 with risk factors or co-morbidities or BMI > P.97 were recruited. During 5.5 months, the PathMate2 group (PM) received daily conversational agent counselling via mobile app, combined with standardized counselling (4 on-site visits). Controls (CON) participated in a BCI (7 on-site visits). We compared the outcomes of both groups after 5.5 (T1) and 12 (T2) months. Primary outcome was reduction in BMI-SDS (BMI standard deviation score: BMI adjusted for age and sex). Secondary outcomes were changes in body fat and muscle mass (bioelectrical impedance analysis), waist-to-height ratio, physical capacities (modified Dordel-Koch-Test), blood pressure and pulse. Additionally, we hypothesized that less stressed children would lose more weight. Thus, children performed biofeedback relaxation exercises while stress parameters (plasma cortisol, stress questionnaires) were evaluated. Results At intervention start median BMI-SDS of all patients (18 PM, 13 CON) was 2.61 (obesity > + 2SD). BMI-SDS decreased significantly in CON at T1, but not at T2, and did not decrease in PM during the study. Muscle mass, strength and agility improved significantly in both groups at T2; only PM reduced significantly their body fat at T1 and T2. Average daily PM app usage rate was 71.5%. Cortisol serum levels decreased significantly after biofeedback but with no association between stress parameters and BMI-SDS. No side effects were observed. Conclusions Equally to BCI, PathMate2 intervention resulted in significant and lasting improvements of physical capacities and body composition, but not in sustained BMI-SDS decrease. This youth-appealing mobile health intervention provides an interesting approach for youth with obesity who have limited access to health care. Biofeedback reduces acute stress and could be an innovative adjunct to usual care.

Examination of Sleep and Obesity in Children and Adolescents in the United States

2021 ◽  
pp. 089011712110291
Author(s):  
Puneet Kaur Chehal ◽  
Livvy Shafer ◽  
Solveig Argeseanu Cunningham
Keyword(s):  
Body Mass Index ◽  
Children And Adolescents ◽  
Sleep Duration ◽  
Body Mass ◽  
The United States ◽  
Weight Category ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Child Height ◽  
Nationally Representative

Purpose: This study contributes to the growing literature on the association between sleep and obesity by examining the associations between hours of sleep, consistency of bedtime, and obesity among children in the US. Design: Analysis of a nationally representative sample of non-institutionalized children from the 2016-17 National Survey of Children’s Health. Setting: US, national. Subjects: Children ages 10-17 years (n = 34,640) Measures: Parent reported weeknight average hours of sleep and consistency of bedtime. Body mass index classified as underweight, normal, overweight or obesity using parent-reported child height and weight information, classified using CDC BMI-for-Age Growth Charts. Analysis: Multivariate logistic regression models were used to estimate associations between measures of sleep and body mass index weight category adjusting for individual, household and neighborhood characteristics. Results: An additional hour of sleep was associated with 10.8% lower odds of obesity, net of consistency in bedtime. After controlling for sleep duration, children who usually went to bed at the same time on weeknights had lower odds of obesity (24.8%) relative to children who always went to bed at the same time. Conclusion: Sleep duration is predictive of lower odds of obesity in US children and adolescents. Some variability in weeknight bedtime is associated with lower odds of obesity, though there were no additional benefits to extensive variability in bedtime.

scholarly journals Patterns of early life body mass index and childhood overweight and obesity status at eight years of age

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Joseph M. Braun ◽  
Heidi J. Kalkwarf ◽  
George D. Papandonatos ◽  
Aimin Chen ◽  
Bruce P. Lanphear
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Early Life ◽  
Childhood Overweight ◽  
Overweight And Obesity ◽  
Childhood Overweight And Obesity ◽  
Obesity Status

State-Level Sexism and Women’s Health Care Access in the United States: Differences by Race/Ethnicity, 2014–2019

2021 ◽  
pp. e1-e10
Author(s):  
Kristen Schorpp Rapp ◽  
Vanessa V. Volpe ◽  
Hannah Neukrug
Keyword(s):  
Health Care ◽  
Health Care Access ◽  
Hispanic Women ◽  
State Level ◽  
The United States ◽  
Barriers To Health Care ◽  
Care Access ◽  
Race Ethnicity ◽  
The Relationship ◽  
Barriers To Health

Objectives. To quantify racial/ethnic differences in the relationship between state-level sexism and barriers to health care access among non-Hispanic White, non-Hispanic Black, and Hispanic women in the United States. Methods. We merged a multidimensional state-level sexism index compiled from administrative data with the national Consumer Survey of Health Care Access (2014–2019; n = 10 898) to test associations between exposure to state-level sexism and barriers to access, availability, and affordability of health care. Results. Greater exposure to state-level sexism was associated with more barriers to health care access among non-Hispanic Black and Hispanic women, but not non-Hispanic White women. Affordability barriers (cost of medical bills, health insurance, prescriptions, and tests) appeared to drive these associations. More frequent need for care exacerbated the relationship between state-level sexism and barriers to care for Hispanic women. Conclusions. The relationship between state-level sexism and women’s barriers to health care access differs by race/ethnicity and frequency of needing care. Public Health Implications. State-level policies may be used strategically to promote health care equity at the intersection of gender and race/ethnicity. (Am J Public Health. Published online ahead of print September 2, 2021: e1–e10. https://doi.org/10.2105/AJPH.2021.306455 )

scholarly journals Body Mass Index and Depressive Symptoms: Testing for Adverse and Protective Associations in Two Twin Cohort Studies

2016 ◽  
Vol 19 (4) ◽  
pp. 306-311 ◽  
Author(s):  
Markus Jokela ◽  
Venla Berg ◽  
Karri Silventoinen ◽  
G. David Batty ◽  
Archana Singh-Manoux ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Depressive Symptoms ◽  
Cohort Studies ◽  
Body Mass ◽  
Genetic Model ◽  
The United States ◽  
Population Based ◽  
The Us ◽  
Mz Twins ◽  
Pair Analysis

Studies have suggested both adverse and protective associations of obesity with depressive symptoms. We examined the contribution of environmental and heritable factors in this association. Participants were same-sex twin pairs from two population-based twin cohort studies, the Older Finnish Twin Cohort (n = 8,215; mean age = 44.1) and the US Midlife Development in the United States (MIDUS; n = 1,105; mean age = 45.1). Body mass index (BMI) was calculated from self-reported height and weight. Depressive symptoms were assessed using Beck's Depression Inventory (BDI; Finnish Twin Cohort), and by negative and positive affect scales (MIDUS). In the Finnish Twin Cohort, higher BMI was associated with higher depressive symptoms in monozygotic (MZ) twins (B = 2.01, 95% CI = 1.0, 3.0) and dizygotic (DZ) twins (B = 1.17, 0.5, 1.9) with BMI >22. This association was observed in within-pair analysis in DZ twins (B = 1.47, CI = 0.4, 2.6) but not in within-pair analysis of MZ twins (B = 0.03, CI = -1.9, 2.0). Consistent with the latter result, a bivariate genetic model indicated that the association between higher BMI and higher depressive symptoms was largely mediated by genetic factors. The results of twin-pair analysis and bivariate genetic model were replicated in the MIDUS sample. These findings suggest an association between obesity and higher depressive symptoms, which is largely explained by shared heritable biological mechanisms.

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