Positive Attitudes and Reasons for Consuming Legumes Are Associated with Legume Intake Among Adults in Puerto Rico

Abstract Objectives Legumes are a healthy staple of the traditional Puerto Rican diet. Emphasizing legume intake could be a culturally acceptable strategy for chronic disease prevention in Puerto Rico. This study aimed to investigate attitudes, reasons, intentions, and expectations about legume consumption in Puerto Rico and associations with dietary intake. Methods This study includes adult participants (30–75y) from the Puerto Rico Assessment of Diet, Lifestyle and Diseases, who completed a validated food frequency questionnaire and a legumes questionnaire (n = 206). Attitudes and reasons were assessed with a Likert scale and assigned 0 points for disagree, 1 point for neutral, and 2 points for agree. Scores were computed by summing the points for 12 attitudes or 12 reasons; higher scores indicate more positive attitudes and stronger reasons for consuming legumes. Adjusted linear regression models examined associations between each score and bean intake, rice intake, and ratio of bean to rice intake. Adjusted logistic regression models tested the associations between specific intentions and expectations about legume consumption and bean intake. Results Most participants were female (70%), Puerto Rican (80%), and lived in urban areas (90%). Participants reported consuming a median of 0.47 servings/d of beans and 0.57 servings/d of rice. After adjusting for sociodemographic and lifestyle factors, each additional positive attitude was associated with a 0.08 (95% CI: 0.04, 0.1) servings/d higher bean intake and 0.66 (95% CI: 0.04, 1.28) higher ratio of bean to rice intake. Each additional reason to consume legumes was associated with a 0.04 (95% CI: 0.004, 0.06) servings/d higher bean intake. No other significant associations were observed for the attitudes or reasons scores, nor for expectations or intentions to consume legumes. Conclusions Having positive attitudes and more reasons for consuming legumes are associated with higher bean intake. Positive attitudes are also associated with a higher ratio of bean to rice intake. Interventions aiming to increase legume intake to prevent cardiometabolic disease in Puerto Rico should emphasize building positive attitudes and reasons for consuming legumes. Funding Sources Anonymous donations; Northarvest Bean Growers Association; FDI Clinical Research; and National Institutes of Health.

Download Full-text

The Association Between Peanut and Peanut Butter Consumption and Cognitive Function

Current Developments in Nutrition ◽

10.1093/cdn/nzab033_026 ◽

2021 ◽

Vol 5 (Supplement_2) ◽

pp. 26-26

Author(s):

Elizabeth Katzman ◽

Samara Nielsen

Keyword(s):

Cognitive Function ◽

Regression Models ◽

Peanut Butter ◽

Digit Symbol Substitution Test ◽

Logistic Regression Models ◽

Funding Sources ◽

Gender Education ◽

Symbol Substitution ◽

Adjusted Logistic Regression ◽

Fluency Test

Abstract Objectives This study investigated the association of peanut and peanut butter (P/PB) consumption and cognitive function. Methods Using 2011–2014 NHANES data, we selected 60–80 year-olds who had two 24-hour diet recalls, cognitive function tests, and education information. P/PB and tree nut (TN) consumption was measured as well as the participant's performance on the CERAD Word Learning subtest (CERAD W-L), Animal Fluency test (AFT), and the Digit Symbol Substitution test (DSST). Scores from the three cognitive tests were dichotomized. Individuals were classified as either P/PB consumers or non-consumers and TN consumers or non-consumers. Unadjusted and adjusted logistic regression models examined associations between P/PB consumption, TN consumption, age, gender, education and cognitive function. Results Among the 2,857 individuals examined, participants who did not consume P/PB were more likely to do poorly on the CERAD W-L (adjusted OR = 1.55, 95% CI 1.25–1.92), AFT (adjusted OR = 1.30, 95% CI 1.06–1.60), and DSST (adjusted OR = 1.37, 95% CI 1.10–1.71) when compared to those who did consume P/PB. Conclusions These findings suggest an association between P/PB consumption and cognitive function. Funding Sources The Peanut Institute provided funding.

Download Full-text

Challenging the Link Between Early Childhood Television Exposure and Later Attention Problems: A Multiverse Approach

Psychological Science ◽

10.1177/0956797620971650 ◽

2021 ◽

pp. 095679762097165

Author(s):

Matthew T. McBee ◽

Rebecca J. Brand ◽

Wallace E. Dixon

Keyword(s):

Early Childhood ◽

Regression Models ◽

Propensity Score Analysis ◽

Harmful Effect ◽

Attention Problems ◽

Linear Regression Models ◽

Data Set ◽

Logistic Regression Models ◽

Score Analysis ◽

Television Exposure

In 2004, Christakis and colleagues published an article in which they claimed that early childhood television exposure causes later attention problems, a claim that continues to be frequently promoted by the popular media. Using the same National Longitudinal Survey of Youth 1979 data set ( N = 2,108), we conducted two multiverse analyses to examine whether the finding reported by Christakis and colleagues was robust to different analytic choices. We evaluated 848 models, including logistic regression models, linear regression models, and two forms of propensity-score analysis. If the claim were true, we would expect most of the justifiable analyses to produce significant results in the predicted direction. However, only 166 models (19.6%) yielded a statistically significant relationship, and most of these employed questionable analytic choices. We concluded that these data do not provide compelling evidence of a harmful effect of TV exposure on attention.

Download Full-text

Abstract 17220: Risk Factors for Recurrent Peripartum Cardiomyopathy in 783 Women in California

Circulation ◽

10.1161/circ.138.suppl_1.17220 ◽

2018 ◽

Vol 138 (Suppl_1) ◽

Author(s):

Punag Divanji ◽

Gregory Nah ◽

Ian Harris ◽

Anu Agarwal ◽

Nisha I Parikh

Keyword(s):

Risk Factors ◽

Cardiovascular Disease ◽

Logistic Regression ◽

Regression Models ◽

Subsequent Pregnancy ◽

Peripartum Cardiomyopathy ◽

Lv Function ◽

Logistic Regression Models ◽

Grand Multiparity ◽

Adjusted Logistic Regression

Introduction: Characterized by significant left ventricular (LV) dysfunction and clinical heart failure (HF), peripartum cardiomyopathy (PPCM) has an incidence of approximately 1/2200 live births (0.04%). Prior studies estimate that approximately 25% of those with recovered LV function will have recurrent clinical PPCM during subsequent pregnancies, compared to 50% of those without recovered LV function. Specific predictors of recurrent PPCM have not been studied in cohorts with large numbers. Methods: From 2005-2011, we identified 1,872,227 pregnancies by International Classification of Diseases, 9th Revision (ICD-9) codes in the California Healthcare Cost and Utilization Project (HCUP) database, which captures over 95% of the California hospitalized population. Excluding 15,765 women with prior cardiovascular disease (myocardial infarction, coronary artery disease, stroke, HF, valve disease, or congenital heart disease), yielded n=1,856,462 women. Among women without prior cardiovascular disease, we identified index and subsequent pregnancies with PPCM to determine episodes of recurrent PPCM. We considered the following potential predictors of PPCM recurrence in both univariate and age-adjusted logistic regression models: age, race, hypertension, diabetes, smoking, obesity, chronic kidney disease, family history, pre-eclampsia, ectopic pregnancy, income, and insurance status. Results: In HCUP, n=783 women had pregnancies complicated by PPCM (mean age=30.8 years). Among these women, n=133 had a subsequent pregnancy (17%; mean age=28.1 years), with a mean follow-up of 4.34 years (±1.71 years). In this group of 133 subsequent pregnancies, n=14 (10.5%) were complicated by recurrent PPCM, with a mean time-to-event of 2.2 years (±1.89 years). Among the risk factors studied, the only univariate predictor of recurrent PPCM was grand multiparity, defined as ≥ 5 previous deliveries (odds ratio: 22; 95% confidence interval 4.43-118.22). The other predictors we studied were not significantly associated with recurrent PPCM in either univariate or multivariable models. Conclusion: In a large population database in California with 783 cases of PPCM over a 6-year period, 17% of women had a subsequent pregnancy, of which 10.5% had recurrent PPCM. In age-adjusted logistic regression models, grand multiparity was the only statistically significant predictor of recurrent PPCM.

Download Full-text

Nurse Burnout Revisited: A Comparison of Computational Methods

Journal of Nursing Measurement ◽

10.1891/1061-3749.27.1.e17 ◽

2019 ◽

Vol 27 (1) ◽

pp. E17-E33

Author(s):

Herica Silva Dutra ◽

Edinêis de Brito Guirardello ◽

Yin Li ◽

Jeannie P. Cimiotti

Keyword(s):

Job Satisfaction ◽

Regression Models ◽

Human Services ◽

Intent To Leave ◽

Maslach Burnout Inventory ◽

Logistic Regression Models ◽

Nurse Burnout ◽

Adjusted Logistic Regression ◽

Nursing Professionals ◽

Nurse Outcomes

Background and PurposeTo examine computational measures of job-related burnout to determine the best computation to estimate job satisfaction and intent to leave in Brazilian nursing professionals.MethodsMaslach Burnout Inventory-Human Services Survey (MBI-HSS) was used assess burnout in 452 hospital-based nursing professionals. Adjusted logistic regression models were fit using different computations of burnout to estimate outcomes of interest.ResultsTotal mean score of burnout subscales was the best estimate of job satisfaction (Cox-Snell R2 = 0.312; Nagelkerke R2 = 0.450) and intent to leave (Cox-Snell R2 = 0.156; Nagelkerke R2 = 0.300), as was high emotional exhaustion (Cox-Snell R2 = 0.219; Nagelkerke R2 = 0.316).ConclusionWe have provided evidence that different computations of data from the Portuguese (Brazil) MBI-HSS can be used in to estimate the effect of job-related burnout on nurse outcomes.

Download Full-text

Prevalence and adverse impact of extended antibiotic prophylaxis in urologic oncology surgery.

Journal of Clinical Oncology ◽

10.1200/jco.2014.32.4_suppl.294 ◽

2014 ◽

Vol 32 (4_suppl) ◽

pp. 294-294

Author(s):

Matthew Mossanen ◽

Josh Calvert ◽

Sarah Holt ◽

Andrew Callaway James ◽

Jonathan L. Wright ◽

...

Keyword(s):

Antibiotic Prophylaxis ◽

Regression Models ◽

Linear Regression Models ◽

Urologic Oncology ◽

Logistic Regression Models ◽

Factors Associated ◽

Provider Characteristics ◽

Diagnosis Codes ◽

Postoperative Length ◽

Hospital Acquired

294 Background: Providers exhibit variation in the selection of the class, dose, and duration of prescribed antibiotic prophylaxis (ABP) to prevent postsurgical infections. We sought to evaluate ABP practice patterns for common inpatient urologic oncology surgeries and ascertain the association between extended ABP and hospital-acquired Clostridium difficile (C. diff) infections. Methods: From the PREMIER database for 2007–2012, we identified patients who underwent radical prostatectomy (RP), radical or partial nephrectomy (Nephx), or radical cystectomy (RC). We defined extended ABP from charges for antibiotics ≥ 2 days after surgery; exclusive of patients with a switch in antibiotic class within 2 postoperative days for presumption of infection. We identified postoperative C. diff infections using ICD-9 diagnosis codes. Hierarchical linear regression models were constructed by procedure to identify patient and provider factors associated with extended ABP. Logistic regression models evaluated the association between extended ABP and postoperative C. diff infection, adjusting for patient and provider characteristics. Results: We identified 59,184 RP patients, 27,921 Nephx patients, and 5,425 RC patients. RC patients were more likely to receive extended ABP (56%) than RP (18%) or Nephx (29%) patients (p<0.001). Other factors associated with extended ABP included prolonged postoperative length of stay (OR ≥ 1.69, p<0.001 for all procedures), and surgical volume (p<0.001 for highest vs. lowest volume quartiles). Hospital identity explained 35% of the variability in ABP after RP, 23% after Nephx, and 20% after RC. Among Nephx and RC patients, extended ABP was associated with significantly higher odds of postoperative C. diff infection (OR 3.79, 95% CI 2.46–5.84, and OR 1.64, 95% CI 1.12–2.39, respectively). Conclusions: We identified marked hospital-level variability in extended ABP following RP, Nephx, and RC, which was associated with significantly increased odds of hospital-acquired C. diff infections. Efforts to increase provider compliance with national ABP guidelines may decrease preventable hospital-acquired infections after urologic cancer surgery.

Download Full-text

The association of diabetes and BMI among Melanesian and Indian Fijians aged ≥ 40 years

British Journal Of Nutrition ◽

10.1017/s0007114510005258 ◽

2011 ◽

Vol 105 (10) ◽

pp. 1539-1545 ◽

Cited By ~ 1

Author(s):

Garry Brian ◽

Jacqueline Ramke ◽

Andrew Page ◽

Louise Maher ◽

John Szetu ◽

...

Keyword(s):

Regression Models ◽

Medical Practitioner ◽

Population Based ◽

Common Environment ◽

Logistic Regression Models ◽

Previous Diagnosis ◽

Males And Females ◽

Adjusted Logistic Regression ◽

Hb Concentration ◽

Population Based Survey

The present study examines the association of diabetes with BMI (kg/m2) in Asian-Indian and Melanesian Fijian populations sharing a common environment. A population-based survey was used to investigate the risk of diabetes (defined by glycosylated Hb concentration ≥ 6·5 % among participants who denied previous diagnosis of the disease by a medical practitioner) by sex, ethnicity and strata of BMI in a series of age-adjusted logistic regression models. Ethnicity and BMI interactions were compared using WHO and empirically derived BMI cut-off points. Indians had a greater risk (BMI and age adjusted) of undetected diabetes than Melanesians in both males (OR 2·99, 95 % CI 1·73, 5·17; P < 0·001) and females (OR 2·26, 95 % CI 1·56, 3·28; P < 0·001). BMI ≥ 25 to < 30 and ≥ 30 kg/m2 conferred a higher risk of diabetes compared with a BMI ≥ 18·5 to < 25 kg/m2. Risk was higher for males with a BMI ≥ 25 to < 30 kg/m2 (OR 2·35, 95 % CI 1·24, 4·46; P = 0·007) and BMI ≥ 30 kg/m2 (OR 6·08, 95 % CI 3·06, 12·07; P < 0·001) than for females with the same BMI (OR 1·85, 95 % CI 1·11, 3·08; P = 0·027 and OR 2·10, 95 % CI 1·28, 3·44; P = 0·002, respectively). However, the threshold that appeared to differentiate higher risk varied by ethnicity and sex. For Melanesians, BMI thresholds suggested were 25 kg/m2 for males and 32 kg/m2 for females. For Indo-Fijians, these were 24 and 22 kg/m2 for males and females, respectively. Disaggregating by ethnicity and sex, and applying specific evidence-based thresholds, may render BMI a more discriminating tool for assessing the risk of developing diabetes among Fiji adults.

Download Full-text

Associations Between Meal Planning and Food Ordering Features of a Digital Precision Nutrition Platform and Improvements in Diet Quality

Current Developments in Nutrition ◽

10.1093/cdn/nzab052_003 ◽

2021 ◽

Vol 5 (Supplement_2) ◽

pp. 1000-1000

Author(s):

Emily Hu ◽

Mahesh Pasupuleti ◽

Viet Nguyen ◽

Dexter Shurney ◽

Jason Langheier

Keyword(s):

Diet Quality ◽

Regression Models ◽

Processed Meat ◽

Dietary Recommendations ◽

Protein Ratio ◽

Logistic Regression Models ◽

Funding Sources ◽

Meal Planning ◽

Goal Change ◽

Diet Score

Abstract Objectives Foodsmart is a digital precision nutrition platform that seeks to address barriers to healthy eating with features including (but not limited to) personalized dietary recommendations based on food frequency questionnaire (FFQ) responses, a meal planner, grocery list, and food ordering capabilities. We investigated the association between engagement with these features and changes in diet quality over time. Methods We included 9939 obese adults ages 18–80 living in the U.S. who enrolled in Foodsmart. Usual dietary intake, age, weight, height, and sex were reported through a 53-item FFQ, modified from the National Cancer Institue's Diet History Questionnaire. A healthy diet score was calculated, which contains 7 components: fruits, vegetables, protein ratio (white meat/vegetarian protein: red/processed meat), carbohydrate ratio (fiber: carbohydrate), fat ratio (polyunsaturated: saturated/trans fats), sodium, and hydration (% of daily fluid goal). Change in diet quality was calculated by subtracting users’ first score from their last score. Multivariate logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals (CI) of improvement in diet quality per engagement with each feature, adjusted for gender, age, baseline BMI, baseline diet score, and enrollment time. Results Of the 9,939 adults included in the analysis, 57% were between 40 and 59 years old and 21% were male. In multivariate regression models, each additional engagement with personalized dietary recommendations was associated with a 27% higher likelihood of improving diet (OR: 1.27, 95% CI: 1.16–1.39, P < 0.001). Each additional engagement with the meal planner, grocery list, and food ordering was associated, respectively, with a 12% (OR: 1.12, 95% CI: 1.02–1.22, >P = 0.01), 15% (OR: 1.15, 95% CI: 1.05–1.26, P < 0.001), and 18% (OR: 1.18, 95% CI: 1.00–1.38, P = 0.05) higher likelihood of improving diet quality. Conclusions In our prospective study of obese users of a digital precision nutrition platform, we found that more frequent engagement with features related to meal planning and food ordering was associated with diet quality improvement. Funding Sources This study was funded by Foodsmart.

Download Full-text

Consumers’ Consciousness of Health-Friendly Products and Services and Its Association with Sociodemographic Characteristics and Health Status

10.20944/preprints201905.0075.v1 ◽

2019 ◽

Author(s):

Young Ho Yun ◽

Jin-Ah Sim ◽

Yaeji Kim ◽

Sujee Lee

Keyword(s):

Regression Models ◽

Normal Weight ◽

Spiritual Health ◽

Social Responsiveness ◽

Multivariate Logistic Regression ◽

Urban Residence ◽

Logistic Regression Models ◽

Positive Attitudes ◽

The Government ◽

Perception Of Health

Although health policy resides mainly with the government, industry can play an important role in building a health ecosystem. From March to May, we administered questionnaires to 1,200 individuals from the general Korean population asking about their perception of health-friendly labels, and if they would purchase such labeled products (foods, pharmaceuticals, etc.) and services (purifying water, preventing air pollution, etc.) at extra cost. The participants placed a high value on the importance of mental, social, spiritual, and physical health factors in terms of company’s products and services with a score of about 8 out of 10 (range, 7.74-8.33). Most respondents (72.4%) said they were interested in adopting health-friendly labels. When a health-friendly label is introduced (such as one by the Business for Social Responsiveness), 65.1% of the respondents said they intended to purchase the product or service, while 6.8% said they did not, and 75.0% said they were willing to pay extra for the health-friendly product or service. Multivariate logistic regression models showed urban residence, high education level, and good social health to be significantly associated with positive attitudes toward health-friendly labels. People with high income, no religion, or normal weight were more likely to say they intend to purchase products and services with health-friendly labels. They also had a more positive attitude toward paying more for such products and services, as did people with good spiritual health. This study provides data that illustrate the importance of health-friendly products and services to the general population and companies.

Download Full-text

Forgiveness of dolutegravir-based triple therapy compared to older antiretroviral regimens: a prospective multicenter cohort of adherence patterns and HIV-RNA replication

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab316 ◽

2021 ◽

Author(s):

Jean-Jacques Parienti ◽

Anna L Fournier ◽

Laurent Cotte ◽

Marie-Paule Schneider ◽

Manuel Etienne ◽

...

Keyword(s):

Regression Models ◽

Treatment Interruption ◽

People Living With Hiv ◽

Linear Regression Models ◽

Logistic Regression Models ◽

Treatment Groups ◽

Hiv Rna ◽

Adherence Pattern ◽

Living With Hiv ◽

Rna Levels

Abstract Background For many people living with HIV (PLWH), taking antiretroviral therapy (ARV) every day is difficult. Methods Average adherence (Av-Adh) and log-transformed treatment interruption (TI) to ARV were prospectively measured over 6 months using electronic drug monitoring (EDM) in several cohorts of PLWH. Multivariate linear regression models including baseline confounders explored the influence of EDM-defined adherence (R 2) on 6-month Log10 HIV-RNA. Multivariate logistic regression models were used to compare the risk of HIV-RNA detection within subgroups stratified by lower (≤95%) and higher (>95%) Av-Adh. Results Three hundred ninety nine PLWH were analyzed with different ARV: dolutegravir (n=102), raltegravir (n=90), boosted PI (bPI; n=107), and NNRTI (n=100). In the dolutegravir group, the influence of adherence pattern measures on R 2 for HIV-RNA levels was marginal (+2%). Av-Adh, TI and Av-Adh x TI increased the R 2 for HIV-RNA levels by 54% and 40% in the raltegravir and bPI treatment groups, respectively. TI increased the R 2 for HIV-RNA levels by 36% in the NNRTI treatment group. Compared to dolutegravir-based regimen, the risk of VR was significantly increased for: raltegravir (adjusted OR (aOR), 45.6; 95% confidence interval (CI) [4.5 - 462.1], p=0.001); NNRTIs (aOR, 24.8; 95% CI [2.7 - 228.4], p=0.005) and bPIs (aOR, 28.3; 95%CI [3.4 - 239.4], p=0.002) in PLWH with Av-Adh ≤95%. Among PLWH with >95% Av-Adh, there were no significant differences on the risk of VR among the different ARV. Conclusion These findings support the concept that dolutegravir in combination with two other active ARVs achieves a greater virological suppression than older ARV, including raltegravir, NNRTI and bPI among PLWH with lower adherence.

Download Full-text

Sleep and daytime problems during the COVID-19 pandemic and effects of coronavirus infection, confinement and financial suffering: a multinational survey using a harmonised questionnaire

BMJ Open ◽

10.1136/bmjopen-2021-050672 ◽

2021 ◽

Vol 11 (12) ◽

pp. e050672

Author(s):

Markku Partinen ◽

Brigitte Holzinger ◽

Charles M Morin ◽

Colin Espie ◽

Frances Chung ◽

...

Keyword(s):

Logistic Regression ◽

Sleep Quality ◽

Regression Models ◽

Sleep Problems ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Logistic Regression Models ◽

Excessive Sleepiness ◽

Adjusted Logistic Regression ◽

Daytime Function

ObjectivesSleep is important for human health and well-being. No previous study has assessed whether the COVID-19 pandemic impacts sleep and daytime function across the globe.MethodsThis large-scale international survey used a harmonised questionnaire. Fourteen countries participated during the period of May–August 2020. Sleep and daytime problems (poor sleep quality, sleep onset and maintenance problems, nightmares, hypnotic use, fatigue and excessive sleepiness) occurring ‘before’ and ‘during’ the pandemic were investigated. In total, 25 484 people participated and 22 151 (86.9%) responded to the key parameters and were included. Effects of COVID-19, confinement and financial suffering were considered. In the fully adjusted logistic regression models, results (weighted and stratified by country) were adjusted for gender, age, marital status, educational level, ethnicity, presence of sleep problems before COVID-19 and severity of the COVID-19 pandemic in each country at the time of the survey.ResultsThe responders were mostly women (64%) with a mean age 41.8 (SD 15.9) years (median 39, range 18–95). Altogether, 3.0% reported having had COVID-19; 42.2% reported having been in confinement; and 55.9% had suffered financially. All sleep and daytime problems worsened during the pandemic by about 10% or more. Also, some participants reported improvements in sleep and daytime function. For example, sleep quality worsened in about 20% of subjects and improved in about 5%. COVID-19 was particularly associated with poor sleep quality, early morning awakening and daytime sleepiness. Confinement was associated with poor sleep quality, problems falling asleep and decreased use of hypnotics. Financial suffering was associated with all sleep and daytime problems, including nightmares and fatigue, even in the fully adjusted logistic regression models.ConclusionsSleep problems, fatigue and excessive sleepiness increased significantly worldwide during the first phase of the COVID-19 pandemic. Problems were associated with confinement and especially with financial suffering.

Download Full-text