scholarly journals 4098 Health and HIV: Weight status associations with multiple co-morbidities

2020 ◽  
Vol 4 (s1) ◽  
pp. 133-133
Author(s):  
Kierra Renee Butler ◽  
Faye R. Harrell ◽  
Jeffrey Robinson ◽  
Bridgett Rahim-Williams ◽  
Wendy A. Henderson
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Highly Active Antiretroviral Therapy ◽  
Weight Status ◽  
Latent Class ◽  
Healthy Weight ◽  
Shortness Of Breath ◽  
Personalized Care ◽  
Co Morbidity ◽  
Gi Symptoms

OBJECTIVES/GOALS: Highly Active Antiretroviral Therapy (HAART) is beneficial for managing HIV infection, however the long-term use of HAART may be problematic for healthy weight maintenance. The aim of the study was to investigate the association of race, weight status, and co-morbidities among individuals with HIV. METHODS/STUDY POPULATION: Self-reported data from 283 participants who completed the Symptom Checklist, the Co-Morbidity Questionnaire, and the Sociodemographic Questionnaire were included in the data analyses. Data were analyzed using Latent Class Analysis on JMP 13. Approximately 50% of participants self-identified as Black, 69% as male, and 35% as having AIDS. Participants’ age ranged from 25 to 66 years (mean age = 43.70 years, SD = 8.14). Participants were grouped by race (self- reported Black or non-Black), and then each group was clustered based on the top three most prevalent symptoms. The clusters identified were least symptomatic, weight gain, and weight loss. RESULTS/ANTICIPATED RESULTS: The non-Black weight gain cluster reported a higher incidence of AIDS (70.6% vs 38.2%), nausea (70.6% vs 17.6%), diarrhea (70.6% vs 26.5%), and shortness of breath (58.8% vs 20.6%) compared to the Black weight gain cluster. The Black weight loss cluster reported a higher incidence of cardiovascular symptoms including chest palpitations (42.2% vs 2.7%), chest pain (44.4% vs 8.1%), and shortness of breath (73.3% vs 35.1%) and a higher incidence of all GI symptoms with the most prominent being diarrhea (71.1% vs 48.6%) compared to the non-Black weight loss cluster. DISCUSSION/SIGNIFICANCE OF IMPACT: Future studies supporting these results will assist practitioners to target treatments that may prevent adverse health outcomes for individuals with HIV on HAART. Further studies will also assist with setting standards that allow practitioners to provide personalized care for individuals with HIV on HAART.

scholarly journals Symptoms and Comorbidities Differ Based on Race and Weight Status in Persons Living With HIV in the Northern United States: a Cross Sectional Study.

2021 ◽  
Author(s):  
Kierra R. Butler ◽  
Faye R. Harrell ◽  
Bridgett Rahim-Williams ◽  
Jeffrey M. Robinson ◽  
Xuemin Zhang ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Weight Status ◽  
Latent Class ◽  
Shortness Of Breath ◽  
Clinical Trial Registration ◽  
Co Morbidity ◽  
Persons Living With Hiv ◽  
Gi Symptoms ◽  
Living With Hiv

Abstract Background: Persons living with HIV (PLWHIV) on highly active antiretroviral treatments (HAART) may require specialized care based on health and demographic indicators. This study investigated the association of co-morbidities, race, weight status, gastrointestinal (GI), and cardiovascular symptoms (CV) and among PLWHIV. Methods: The Symptom Checklist, Co-Morbidity, and Sociodemographic Questionnaires were used to assessed weight status, GI, and CV symptoms among 283 PLWHIV. Data were analyzed using Latent Class Analysis on John's Macintosh Project 13 Platform. Results: Participants were majority Black (50%), 69% male, and 35% AIDS diagnosed. Ages were 25 to 66. Clusters included least symptomatic status, weight gain, and weight loss by Black and non-Black participants. The non-Black weight gain cluster reported a higher incidence of AIDS (70.6% vs 38.2%), nausea (70.6% vs 17.6%), diarrhea (70.6% vs 26.5%), and shortness of breath (58.8% vs 20.6%) compared to the Black weight gain cluster. The Black weight loss cluster reported a higher incidence of CV symptoms such as chest palpitations (42.2% vs 2.7%), chest pain (44.4% vs 8.1%), and shortness of breath (73.3% vs 35.1%), and a higher incidence of all GI symptoms with the most prominent being diarrhea (71.1% vs 48.6%) compared to the non-Black weight loss cluster. Conclusions: The existing racial disparities in health-related quality of life for PLWHIV may be improved through precision health and nutrition modifications. Continued research is needed investigating differential health outcomes among PLWHIV on HAART.Clinical Trial Registration Number: NCT00222716

Changes in Health Behaviors Associated With Weight Gain by Weight Classification During the COVID-19 Pandemic

2021 ◽  
pp. 089011712110229
Author(s):  
Kristie Rupp ◽  
Ciarán P. Friel
Keyword(s):  
Weight Gain ◽  
Health Behaviors ◽  
Weight Status ◽  
Vegetable Consumption ◽  
Caloric Intake ◽  
Healthy Weight ◽  
Cross Sectional ◽  
Obesity Epidemic ◽  
Logistic Regression Models ◽  
Online Panels

Purpose: To determine whether perceived changes (i.e. perception of engagement during the pandemic relative to pre-pandemic) in specific health behaviors differ by weight status (i.e. healthy weight, overweight, obese). Design: Cross-sectional. Recruitment took place between June-August 2020, via social media posts and Qualtrics online panels. Setting: Participants completed the survey online through the Qualtrics platform. Sample: Analyses included N = 502 participants (≥18 years); 45.2% healthy weight (n = 227), 28.5% overweight (n = 143), and 26.3% obese (n = 132). Measures: Study-specific survey items included questions about demographics and perceived changes in health behaviors. Analysis: Logistic regression models, adjusted for age, race, ethnicity, gender, education, and COVID-19 diagnosis, assessed the odds of perceiving changes in health behaviors considered a risk for weight gain. Results: Participants with obesity, but not overweight, were significantly more likely to report deleterious changes to health behaviors compared to healthy weight peers, including: (1) decreased fruit/vegetable consumption [adjusted odds ratio (AOR) = 1.92; 95% confidence interval (CI): (1.13, 3.26)]; (2) increased processed food consumption [AOR = 1.85; 95%CI: (1.15, 3.00)]; (3) increased caloric intake [AOR = 1.66; 95% CI: (1.06, 2.61)]; (4) decreased physical activity [AOR = 2.07; 95%CI: (1.31, 3.28)]; and (5) deterioration in sleep quality [AOR = 2.07; 95%CI: (1.32, 3.25)]. Conclusion: Our findings suggest that adults with obesity may be at greater risk for unhealthy behaviors during a period of prolonged social distancing, potentially exacerbating the obesity epidemic.

Perceptions of unintentional weight loss among cancer survivors.

2018 ◽  
Vol 36 (7_suppl) ◽  
pp. 138-138 ◽  
Author(s):  
Alexandra Katherine Zaleta ◽  
Shauna McManus ◽  
Thomas William LeBlanc ◽  
Joanne S Buzaglo
Keyword(s):  
Weight Loss ◽  
Cancer Survivors ◽  
Weight Status ◽  
Online Survey ◽  
Health Care Team ◽  
Healthy Weight ◽  
Unintentional Weight Loss ◽  
Weight Category ◽  
Perceived Weight ◽  
The Impact

138 Background: Unintentional weight loss (WL) can be a disruptive symptom of cancer, yet its psychosocial impact is not well understood. We examined cancer survivors’ experiences with unintentional WL. Methods: 320 cancer survivors completed an online survey, provided demographic, health, and unintentional WL history, and rated (0 = not at all; 4 = extremely) 19 statements about WL outcomes. We examined bivariate associations between weight status, unintentional WL, and WL outcomes. Results: Participants were 90% White; mean age = 58.8 years, SD= 11; 41% breast cancer, 23% blood cancer, 8% prostate cancer, mean time since diagnosis = 6.0 years, SD= 5; 18% metastatic, 22% current recurrence/relapse, 51% remission. 55 participants (17%) reported unintentional WL in the past 6 months (mean = 16lbs; range = 2-70; mean BMI = 27.6, SD= 6.3). These participants were less likely to be in disease remission ( p< .05). Participants with unintentional WL tended to underestimate their weight category (e.g., of BMI-classified healthy weight participants, 26% believed they were underweight); κ = -.17, p< .01. 51% of participants felt (somewhat to extremely) positive about WL, 49% said their health care team was supportive of WL; these statements were more strongly endorsed by people describing themselves as overweight ( ps < .05). 27% believed WL caused physical weakness, 23% said WL resulted in lost control over nutrition/eating, 16% said WL made them feel like a burden, 14% said WL caused them to lose their identity; these statements were more strongly endorsed by people describing themselves as underweight ( ps < .01). 20% viewed their WL as a sign of approaching end of life, 13% believed WL meant they would not be able to continue treatment; these views did not differ by perceived weight status. Conclusions: Many cancer survivors experience unintentional weight loss and associate their weight loss with negative outcomes. Survivors also often underestimate their weight status, which is notable given that personal views of one’s weight status, not BMI-derived weight status, is associated with beliefs about the impact of unintentional weight loss. Our findings suggest that people believe unintentional WL meaningfully affects their quality of life.

Effect of anti-tuberculosis treatment on weight of tuberculous patients following up in Gulab Devi Hospital, Lahore

2021 ◽  
Vol 15 (1) ◽  
pp. 31-34
Author(s):  
Usman Ali Rahman ◽  
Anjum Razzaq ◽  
Muhammad Adil Iftikhar ◽  
Shabbar Hussain Changazi ◽  
Samiullah Bhatti ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Group Treatment ◽  
Positive Association ◽  
Cross Sectional Study ◽  
Tuberculosis Treatment ◽  
Maximum Weight ◽  
Cross Sectional ◽  
Co Morbidity ◽  
Tuberculosis Therapy

Background: Tuberculosis is the most prevalent disease in Pakistan. Multiple studies have been conducted on disease pattern and anti-tuberculosis therapy however; there is sparse literature of anti-tuberculosis therapy on weight gain of patients. The objective of this study was to measure the effect of anti-tuberculosis treatment on weight of the patient. Subjects and methods: It was a cross sectional study conducted for a period of 1 year at Pulmonology and Surgical OPD of Gulab Devi Chest Hospital Lahore. Interview of 400 patients were recorded and there record of weight and height was collected at start of the treatment, at 02 months and at 6 months of treatment. Results: Mean weight change in 400 patients were 3.06 ± 3.97 Kg. Out of 400 patients 310 had weight gain, 50 patients had weight loss and in 40 patients weight remain unchanged. Mean weight gain in 310 patients was 4.53 ± 2.95 kg with maximum weight gain of 16 Kg. Mean weight loss in 50 patients was 3.67 ± 2.63 Kg with maximum weight loss of 14 Kg. Conclusion: A significant weight gain was seen in patients undergoing anti tuberculosis treatment. Younger age group, treatment completion and drug compliance had positive association with weight gain of the patient. Diabetes mellitus was the only co morbidity found to have negative association with weight gain of the patient.

scholarly journals Genetic causal attributions for weight status and weight loss during a behavioral weight gain prevention intervention

2015 ◽  
Vol 18 (5) ◽  
pp. 476-482 ◽  
Author(s):  
Megan A. McVay ◽  
Dori M. Steinberg ◽  
Sandy Askew ◽  
Kimberly A. Kaphingst ◽  
Gary G. Bennett
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Weight Status ◽  
Causal Attributions ◽  
Weight Gain Prevention ◽  
Prevention Intervention

scholarly journals Dietary Patterns and Changes in Weight Status Among Chinese Men and Women During the COVID-19 Pandemic

2021 ◽  
Vol 9 ◽  
Author(s):  
Xiaoyue Xu ◽  
Alice F. Yan ◽  
Youfa Wang ◽  
Zumin Shi
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Chinese Population ◽  
Weight Status ◽  
Communicable Disease ◽  
Soft Drinks ◽  
Men And Women ◽  
Fresh Vegetables

Aims: To identify dietary patterns during the coronavirus disease-2019 (COVID-19) pandemic and to examine their association with changes in weight status in the Chinese population.Methods: The 2020 China COVID-19 cross-sectional survey is an anonymous 74-item survey administered via social media across 31 provinces in mainland China between April and May 2020. Dietary data were assessed by a Food Frequency Questionnaire and the changes in weight status were self-reported. Exploratory factor analysis using the principal component analysis method was applied to identify dietary patterns. The multinomial regression models were conducted, and forest plots were used to present the associations between dietary patterns and changes in weight status.Results: Of a total of 10,545 adults (aged ≥18 years), more than half of participants reported to have weight gain, with 18.6% of men and 16.3% of women having weight gain &gt;2.5 kg. Approximately 8% of participants reported to have weight loss, with 2.1% of men and 2.5% women having weight loss &gt;2.5 kg. Two dietary patterns, namely, the modern and prudent dietary patterns, were identified during the COVID-19 pandemic. The modern dietary pattern was loaded heavily with soft drinks, fried foods, pickles, and inversely with fresh vegetables. The prudent dietary pattern was characterized by high intake of fresh fruits, vegetables, and inversely with soft drinks and fried food. The modern dietary pattern was positively associated with weight gain in men and women, while the prudent dietary pattern was negatively associated with both weight gain and loss in men and women during the COVID-19 pandemic.Conclusion: Dietary patterns during COVID-19 are significantly associated with the changes in weight status, which may subsequently increase the risk of diet-related non-communicable disease among the Chinese population.

Preoperative weight gain does not predict failure of weight loss or co-morbidity resolution of laparoscopic Roux-en-Y gastric bypass for morbid obesity

2008 ◽  
Vol 4 (3) ◽  
pp. 445-450 ◽  
Author(s):  
Michael C. Harnisch ◽  
Dana D. Portenier ◽  
Aurora D. Pryor ◽  
Rebecca Prince-Petersen ◽  
John P. Grant ◽  
...  
Keyword(s):  
Morbid Obesity ◽  
Weight Loss ◽  
Gastric Bypass ◽  
Weight Gain ◽  
Failure Of Weight Loss ◽  
Co Morbidity ◽  
Preoperative Weight

scholarly journals Are Antidepressants Associated with Energy Intake and Obesity Among U.S. Adolescents and Young Adults

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1148-1148
Author(s):  
Juliana Toro ◽  
Lais Botelho ◽  
Adriana Campa ◽  
Cristina Palacios
Keyword(s):  
Weight Loss ◽  
Young Adults ◽  
Weight Gain ◽  
Energy Intake ◽  
Weight Status ◽  
Age Groups ◽  
Prescription Medication ◽  
Adolescents And Young Adults ◽  
Obesity Prevalence ◽  
Antidepressant Use

Abstract Objectives Depression and use of antidepressants in U.S. adolescents and young adults are becoming more prevalent. Antidepressant use may lead to higher energy intake and obesity; however, the evidence is not clear. Our objective was to assess whether energy intake and obesity differ between U.S. adolescents and young adults on antidepressants and those who are not. Methods Data from the NHANES 2015–2016 on prescription medication use, energy intake and weight status were obtained for participants 10–34 years. Inclusion criteria were completion of two dietary recalls, not underweight and non-pregnant women. Energy intake between users and non-users of antidepressants was compared using ANCOVA, adjusting for age, gender, BMI, and use of weight loss or weight gain diets and for obesity prevalence, we used Chi-square. Results The sample consisted of 802 adolescents (10–17 years) and 1126 young adults (18–34 years), with 50.7% female and 32.4% Hispanic, 27.9% White, 22.6% Black, 22.4% Multi-racial/other and 11.7% Asian. Obesity was 15.7% in adolescents and 35.1% in young adults and use of antidepressants was 2.4% in adolescents and 4.3% in young adults. Energy intake was higher among antidepressants’ users (2208 ± 780 kcals) compared to non-users (1982 ± 718 kcals; P &lt; 0.001) after adjusting for age, gender, BMI, and weight loss/gain diet. In adolescents, energy intake was higher among antidepressants’ users (2145 ± 951 kcals) compared to non-users (1898 ± 676 kcals; P &lt; 0.001). In young adults, energy intake was higher among users of antidepressants (2233 ± 712 kcals vs. non-users 2044 ± 742 kcals; P &lt; 0.001). Obesity prevalence was higher among users (40.3% vs. non-users 26.5%, P = 0.038). When the two age groups were independently analyzed, obesity in young adults was significantly higher among users (47.9% vs. non-users 34.5%, P = 0.016), however, obesity in adolescents was not significantly different between groups (21.1% users vs.15.6% non-users, P = 0.682). Conclusions In this study, the use of antidepressants was associated with higher energy intake and higher prevalence of obesity, mainly in young adults. These results could be relevant when providing nutrition counseling to adolescents and young adults receiving pharmaceutical treatment for depression to help prevent excess energy intake and weight gain. Funding Sources FIU internal funds.

scholarly journals How Is the Practice of Yoga Related to Weight Status? Population-Based Findings From Project EAT-IV

2017 ◽  
Vol 14 (12) ◽  
pp. 905-912 ◽  
Author(s):  
Dianne Neumark-Sztainer ◽  
Richard F. MacLehose ◽  
Allison W. Watts ◽  
Marla E. Eisenberg ◽  
Melissa N. Laska ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Weight Gain ◽  
Body Mass ◽  
Weight Status ◽  
Population Based ◽  
Healthy Weight ◽  
Yoga Practice ◽  
Cross Sectional ◽  
Overweight Women

Background: Yoga may provide a strategy for healthy weight management in young adults. This study examined prevalence and characteristics of young adults’ yoga practice and associations with changes in body mass index. Methods: Surveys were completed by 1830 young adults (31.1 ± 1.6 y) participating in Project EAT-IV. Cross-sectional and 5-year longitudinal analyses were conducted stratified by initial weight status. Results: Two-thirds (66.5%) of nonoverweight women and 48.9% of overweight women reported ever doing yoga, while 27.2% of nonoverweight women and 16.4% of overweight women practiced regularly (≥30 min/wk). Fewer men practiced yoga. Among young adults practicing regularly (n = 294), differences were identified in intensity, type, and location of yoga practice across weight status. Young adults who were overweight and practiced yoga regularly showed a nonsignificant 5-year decrease in their body mass index (−0.60 kg/m2; P = .49), whereas those not practicing regularly had significant increases in their body mass index (+1.37 kg/m2; P < .01). Frequency of yoga was inversely associated with weight gain among both overweight and nonoverweight young adults practicing yoga regularly. Conclusions: Young adults of different body sizes practice yoga. Yoga was associated with less weight gain over time, particularly in overweight young adults. Practicing yoga on a regular basis may help with weight gain prevention.

scholarly journals Weight Trajectories After Delivery are Associated with Adiposity and Cardiometabolic Markers at 3 Years Postpartum Among Women in Project Viva

2020 ◽  
Vol 150 (7) ◽  
pp. 1889-1898 ◽  
Author(s):  
Diana C Soria-Contreras ◽  
Sheryl L Rifas-Shiman ◽  
Izzuddin M Aris ◽  
Wei Perng ◽  
Karen M Switkowski ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Inflammatory Markers ◽  
Latent Class ◽  
Multinomial Logistic Regression ◽  
Overweight And Obesity ◽  
Cardiometabolic Health ◽  
Maternal Weight ◽  
Postpartum Weight ◽  
Weight Trajectories

ABSTRACT Background Postpartum weight trajectories and its implications on later cardiometabolic health are not entirely understood. Objectives Our objectives were: 1) to characterize maternal weight trajectories from 1 to 24 mo postpartum, 2) to determine the association of prepregnancy BMI, gestational weight gain (GWG), and pregnancy behaviors with the trajectories, and 3) to evaluate the association of weight trajectories with BMI, waist circumference (WC), lipid profile, glucose, insulin resistance, blood pressure, and inflammatory markers at 3 y postpartum. Methods We studied 1359 mothers from the prospective cohort Project Viva. Using weights at 1, 6, 12, and 24 mo postpartum, we characterized weight trajectories using a latent class growth model. For objectives 2 and 3, we used multinomial logistic regression and multiple linear regression models, respectively. Results Around 85% of women fell into a trajectory of sustained weight loss (1–12 mo) + maintenance (12–24 mo) (reference), 5.7% followed a trajectory characterized by fast weight loss + slight gain, and 9.7% fell into a trajectory of little weight loss + slight gain. Prepregnancy overweight and obesity increased the odds of falling into the fast weight loss + slight gain trajectory, compared with the reference. Prepregnancy overweight [OR 1.57 (95% CI: 1.01, 2.46)] and a higher total GWG rate [3.69 (2.90, 4.68)] increased the odds of falling into the little weight loss + slight gain trajectory, whereas a higher Prudent dietary pattern score was protective [0.73 (0.54, 0.98)]. Women in this trajectory had higher BMI, WC, weight gain from prepregnancy, low-density lipoprotein cholesterol, and inflammatory markers at 3 y postpartum. Conclusions Women following a trajectory of little weight loss + slight gain during the first 2 y postpartum had an adverse cardiometabolic profile 3 y after delivery. Targeting diet and GWG during pregnancy and facilitating postpartum weight loss could improve women's long-term health.

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