Abstract P506: Dietary Self-monitoring Using An App: Are Frequency, Consistency And Completeness Related To Weight Loss?

Background: Approximately 70% of the U.S. adult population has obesity and/or overweight and thus increased risk for heart disease, stroke, and type II diabetes mellitus. Standard obesity treatment includes a behavior modification technique, dietary self-monitoring, which entails recording all foods and beverages consumed with calorie amounts and time of consumption. Greater adherence to dietary self-monitoring using a paper diary is associated with weight loss. Self-monitoring via a mobile phone application (app) is an appealing, convenient alternative to paper-based techniques; however, few studies have examined the relationship between adherence to a dietary self-monitoring app and weight loss. Objectives: The objectives of the study were to 1) examine if there is an association between app-based dietary self-monitoring and weight change and 2) explore the relationships between the frequency, consistency, and completeness of app-based dietary self-monitoring and weight change at 8 weeks among adults with overweight or obesity. Frequency was the percentage of days that any self-monitoring occurred during the study; consistency was the recording of any dietary intake on > 3 days each week; completeness was the recording of 50% or more of the weekly individual calorie goal. Methods: Ninety participants interested in weight loss were recruited to self-monitor dietary intake for 8 weeks using the app Calorie Counter by FatSecret. Participants were assigned a daily calorie goal to achieve a one-pound weight loss per week. Paired sample t-test and linear regression were used to examine the relationships between app-based self-monitoring and weight change as well as the frequency, consistency and completeness of self-monitoring and weight change at 8 weeks. Results: The sample [N = 90, mean ( M ) age = 42 ± 10 years (SD)] was employed (100%), primarily female (96.7%), White (90%), and married (63.3%) with a Bachelor’s or Associate’s degree (60%). Paired-sample t test revealed a significant mean difference [ t (89) = 6.59, p < .001] between baseline and 8-week weight in pounds ( M = -3.26 ± 4.70). Linear regression analysis revealed an association [ F (1, 88) = 7.18, p = .009] between total weeks of consistently self-monitoring ( M = 4.44 ± 2.77) and percent weight loss ( M = -1.54 ± 2.26) as well as an association ( F (1, 88) = 6.42, p = .013] between the frequency of self-monitoring ( M = 50.14 ± 33.0) and percent weight loss. Completeness of self-monitoring was not associated with percent weight loss. Conclusion: Results suggest that consistent ( > 3 days/week) and frequent ( > 50% of days) app-based self-monitoring aids weight loss. Clinicians may wish to emphasize frequent and consistent self-monitoring, rather than complete self-monitoring, when providing weight loss counseling. Future research should examine app-based self-monitoring in men as well as ethnically and racially diverse populations. .

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Effect of mHealth With Offline Antiobesity Treatment in a Community-Based Weight Management Program: Cross-Sectional Study

JMIR mhealth and uhealth ◽

10.2196/13273 ◽

2020 ◽

Vol 8 (1) ◽

pp. e13273 ◽

Cited By ~ 6

Author(s):

Youngin Kim ◽

Bumjo Oh ◽

Hyun-Young Shin

Keyword(s):

Health Care ◽

Weight Loss ◽

Regression Analysis ◽

Linear Regression ◽

Multiple Linear Regression ◽

Fat Mass ◽

Weight Change ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Short Term

Background Weight loss interventions using mobile phone apps have recently shown promising results. Objective This study aimed to analyze the short-term weight loss effect of a mobile coaching intervention when it is integrated with a local public health care center and a regional hospital’s antiobesity clinic as a multidisciplinary model. Methods A total of 150 overweight or obese adults signed up to complete an 8-week antiobesity intervention program with human coaching through a mobile platform. Paired t tests and multiple linear regression analysis were used to identify the intervention factors related to weight change. Results Among the 150 participants enrolled in this study, 112 completed the 8-week weight loss intervention. Weight (baseline: mean 77.5 kg, SD 12.9; after intervention: mean 74.8 kg, SD 12.6; mean difference −2.73 kg), body mass index, waist circumference, fat mass (baseline: mean 28.3 kg, SD 6.6; after intervention: mean 25.7 kg, SD 6.3; mean difference −2.65 kg), and fat percentage all showed a statistically significant decrease, and metabolic equivalent of task (MET) showed a statistically significant increase after intervention. In multiple linear regression analysis, age (beta=.07; P=.06), △MET (beta=−.0009; P=.10), number of articles read (beta=−.01; P=.04), and frequency of weight records (beta=−.05; P=.10; R2=0.4843) were identified as significant factors of weight change. Moreover, age (beta=.06; P=.03), sex (female; beta=1.16; P=.08), △MET (beta=−.0009; P<.001), and number of articles read (beta=−.02; P<.001; R2=0.3728) were identified as significant variables of fat mass change. Conclusions The multidisciplinary approach, combining a mobile health (mHealth) care app by health care providers, was effective for short-term weight loss. Additional studies are needed to evaluate the efficacy of mHealth care apps in obesity treatment.

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Body mass index at mCRPC, weight change, and survival in advanced prostate cancer.

Journal of Clinical Oncology ◽

10.1200/jco.2016.34.2_suppl.270 ◽

2016 ◽

Vol 34 (2_suppl) ◽

pp. 270-270

Author(s):

Lydia D. Chow ◽

Elisa M. Ledet ◽

Allie E. Steinberger ◽

Jeffrey R. Guccione ◽

A. Oliver Sartor

Keyword(s):

Prostate Cancer ◽

Body Mass Index ◽

Overall Survival ◽

Linear Regression ◽

Body Mass ◽

Cancer Progression ◽

Weight Change ◽

Linear Regression Analysis ◽

Increased Risk ◽

Significant Difference

270 Background: Body mass index (BMI) at diagnosis is associated with increased risk of fatal prostate cancer, but the link between BMI at mCRPC and cancer progression is less clear. Cachexia, often defined as involuntary weight loss > 5% over 6 months, is common in advanced cancers. The goal of this study was to examine the link between BMI at mCRPC and weight change as it relates to cancer progression, the outcomes of survival, and treatment use in a single-institution setting. Methods: 58 mCRPC patients treated at Tulane Hospital were identified, 41 of whom had an overweight BMI at mCRPC (BMI > 25) and 17 with normal BMI at mCRPC (BMI < 25). All patients had a confirmed prostate cancer death. Survival, treatment history, and percent weight change were compared according to BMI status. Rate of percent weight change was defined as the change in weight per day, from date of mCRPC diagnosis to the last treatment stop date or death date (“mCRPC days”). Linear regression, overall survival (OS), and nonparametric analyses were performed. Results: There was no significant difference between the normal and overweight BMI groups in overall survival, from date of diagnosis to death (median = 1835 days vs. 2710 days respectively). Additionally, the difference in survival from mCRPC to death was not statistically significant (median = 630 days vs. 799 days, p = 0.115). Use of Taxotere was not significantly different (47% vs. 68% respectively); however, overweight patients (n = 28) more likely received Abiraterone than normal BMI patients (n = 2) (p-value = 0.0001). The rate of percent weight change was significantly different for normal and overweight patients (mean = –0.050%/day vs. –0.019%/day, p = 0.003). Linear regression analysis showed that mCRPC days had a significant effect on percent weight change (p = 0.0109), and this effect was not significantly different between BMI groups (p = 0.6991). Conclusions: Survival after mCRPC was not significantly different between BMI groups. We observed a significant effect of mCRPC days on percent weight change, with a similar effect for both BMI groups. This outcome is expected, as more time would allow for greater weight changes to occur. Larger studies are needed to fully evaluate these observations.

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Patterns of self-monitoring technology use and weight loss in people with overweight or obesity

Translational Behavioral Medicine ◽

10.1093/tbm/ibab015 ◽

2021 ◽

Author(s):

Michael C Robertson ◽

Margaret Raber ◽

Yue Liao ◽

Ivan Wu ◽

Nathan Parker ◽

...

Keyword(s):

Weight Loss ◽

Linear Regression ◽

Multiple Linear Regression ◽

Weight Change ◽

Technology Use ◽

Latent Profile Analysis ◽

Monitoring Technology ◽

Self Monitoring ◽

Monitoring Technologies ◽

Overweight Or Obesity

Abstract Mobile applications and paired devices allow individuals to self-monitor physical activity, dietary intake, and weight fluctuation concurrently. However, little is known regarding patterns of use of these self-monitoring technologies over time and their implications for weight loss. The objectives of this study were to identify distinct patterns of self-monitoring technology use and to investigate the associations between these patterns and weight change. We analyzed data from a 6-month weight loss intervention for school district employees with overweight or obesity (N = 225). We performed repeated measures latent profile analysis (RMLPA) to identify common patterns of self-monitoring technology use and used multiple linear regression to evaluate the relationship between self-monitoring technology use and weight change. RMLPA revealed four distinct profiles: minimal users (n = 65, 29% of sample), activity trackers (n = 124, 55%), dedicated all-around users (n = 25, 11%), and dedicated all-around users with exceptional food logging (n = 11, 5%). The dedicated all-around users with exceptional food logging lost the most weight (X2[1,225] = 5.27, p = .0217). Multiple linear regression revealed that, adjusting for covariates, only percentage of days of wireless weight scale use (B = −0.05, t(212) = −3.79, p < .001) was independently associated with weight loss. We identified distinct patterns in mHealth self-monitoring technology use for tracking weight loss behaviors. Self-monitoring of weight was most consistently linked to weight loss, while exceptional food logging characterized the group with the greatest weight loss. Weight loss interventions should promote self-monitoring of weight and consider encouraging food logging to individuals who have demonstrated consistent use of self-monitoring technologies.

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Effect of mHealth With Offline Antiobesity Treatment in a Community-Based Weight Management Program: Cross-Sectional Study (Preprint)

10.2196/preprints.13273 ◽

2019 ◽

Author(s):

Youngin Kim ◽

Bumjo Oh ◽

Hyun-Young Shin

Keyword(s):

Health Care ◽

Weight Loss ◽

Regression Analysis ◽

Linear Regression ◽

Multiple Linear Regression ◽

Fat Mass ◽

Weight Change ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Short Term

BACKGROUND Weight loss interventions using mobile phone apps have recently shown promising results. OBJECTIVE This study aimed to analyze the short-term weight loss effect of a mobile coaching intervention when it is integrated with a local public health care center and a regional hospital’s antiobesity clinic as a multidisciplinary model. METHODS A total of 150 overweight or obese adults signed up to complete an 8-week antiobesity intervention program with human coaching through a mobile platform. Paired <italic>t</italic> tests and multiple linear regression analysis were used to identify the intervention factors related to weight change. RESULTS Among the 150 participants enrolled in this study, 112 completed the 8-week weight loss intervention. Weight (baseline: mean 77.5 kg, SD 12.9; after intervention: mean 74.8 kg, SD 12.6; mean difference −2.73 kg), body mass index, waist circumference, fat mass (baseline: mean 28.3 kg, SD 6.6; after intervention: mean 25.7 kg, SD 6.3; mean difference −2.65 kg), and fat percentage all showed a statistically significant decrease, and metabolic equivalent of task (MET) showed a statistically significant increase after intervention. In multiple linear regression analysis, age (beta=.07; <italic>P</italic>=.06), △MET (beta=−.0009; <italic>P</italic>=.10), number of articles read (beta=−.01; <italic>P</italic>=.04), and frequency of weight records (beta=−.05; <italic>P</italic>=.10; <italic>R</italic><sup>2</sup>=0.4843) were identified as significant factors of weight change. Moreover, age (beta=.06; <italic>P</italic>=.03), sex (female; beta=1.16; <italic>P</italic>=.08), △MET (beta=−.0009; <italic>P</italic><.001), and number of articles read (beta=−.02; <italic>P</italic><.001; <italic>R</italic><sup>2</sup>=0.3728) were identified as significant variables of fat mass change. CONCLUSIONS The multidisciplinary approach, combining a mobile health (mHealth) care app by health care providers, was effective for short-term weight loss. Additional studies are needed to evaluate the efficacy of mHealth care apps in obesity treatment.

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Effectiveness of Breadfruit Leaf Extract (Artocarpus Altilis) as a Mouthwash to Reduce Saliva Viscosity

JURNAL INFO KESEHATAN ◽

10.31965/infokes.vol18.iss1.392 ◽

2020 ◽

Vol 18 (1) ◽

pp. 68-73

Author(s):

Wiworo Haryani ◽

Siti Hidayati ◽

Lusi Khasanah

Keyword(s):

Linear Regression ◽

Leaf Extract ◽

Linear Regression Analysis ◽

T Test ◽

Test Results ◽

Simple Linear Regression ◽

Paired Sample ◽

Artocarpus Altilis ◽

Significant Difference ◽

Nursing Department

Saliva is a complex liquid in the mouth that has an important role as self-cleansing. If the viscosity of saliva is getting lower, the possibility of caries will decrease. The use of mouth rinses is one way to maintain oral hygiene. One of the herbs that can be used as medicine is breadfruit leaf (Artocarpus Altilis). The objective of this study is to determine the effect of breadfruit leaf extract (Artocarpus Altilis) as a mouthwash on saliva viscosity in boarding students of the Dental Nursing Department. This type of research is a pre-experiment with the design of One Group Pretest Posttest which was conducted in October-November 2019. The population of this research study was the boarding students of the Dental Nursing Department of the Yogyakarta Health Polytechnic Ministry of Health with a sample size of 40 respondents taken by purposive sampling technique. Data analysis used Paired Sample T-Test and Simple Linear Regression. 62.5% of respondents aged 18 years with female sex were more than men that were 97.5%. The parametric test results using the Paired Sample T-Test showed a significant difference with a value of p=0.000. Simple Linear Regression analysis test results showed that there was a significant influence between the accumulation of salivary viscosity before and after gargling the breadfruit leaf extract (Artocarpus Altilis) concentration of 20%, with a decrease in the means before gargling the breadfruit leaf extract 3.5810 to 2.6025 with a significance value 0.004 (P<0.05). The conclusion of this study is that there is an influence of breadfruit leaf extract (Artocarpus Altilis) as a mouthwash on saliva viscosity in boarding students of the Dental Nursing Department. It is recommended for further research on the use of breadfruit leaf extract (Artocarpus Altilis) as a mouthwash with different concentrations and solvents so as to increase knowledge of the effectiveness of breadfruit leaves as a mouthwash ingredient.

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PENGARUH LEVERAGE, LIKUIDITAS, DAN UKURAN PERUSAHAAN TERHADAP PROFITABILITAS (STUDI KASUS PADA PERUSAHAAN SUB SECTOR REAL ESTATE AND PROPERTY DI BURSA EFEK INDONESIA PERIODE 2015-2018)

JURNAL ILMIAH EDUNOMIKA ◽

10.29040/jie.v4i02.1207 ◽

2020 ◽

Vol 4 (02) ◽

Author(s):

Pingkan Saraswati

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Real Estate ◽

Linear Regression Analysis ◽

T Test ◽

Company Size ◽

Return On Assets ◽

F Test ◽

Sample Technique ◽

A Company

Profitabilitya has significance for theecompany because it is one of the bases for evaluating the condition of a company. The level off profitability describes the ecompany's performance as seen from the company's ability to generate profits. Profitability in this study is calculated by return on assets (ROA) because it can show how the company's performance is nseenn from the overall use of assets owned by the company in generating profits. Thissstudyyaims to examine the leverage, liquidity, and size off thee company yaffect the eprofitability. The ssampling ttechniqueu used in this study wass purposivee samplingg, which issaa sample technique ethat uses certain ncriteria.. There earee16 companies ethat are sampled in this sstudy.mThe nanalysiss techniquee usedd is multiplee linearr regressionn using SPSS version 22. Multiplee linear regression analysis susess the eclassicc assumption ntest, nincluding mthe nnormality ntest, multicollonityy test,,heteroscedasticityytest,, and dautocorrelationn test.m Tootestttheevariablessused theecoefficient of determination test, t-test, f-test. The results of this study indicate that there is no significant effect on the variable leverage on profitability. Liquidity hass a positivee effectt onn profitability. There eis snoo significantt effectt off thee Company Size variablee on nthee profitability variable..

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Depression-related weight change and incident diabetes in a community sample

Scientific Reports ◽

10.1038/s41598-021-92963-w ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Eva Graham ◽

Tristan Watson ◽

Sonya S. Deschênes ◽

Kristian B. Filion ◽

Mélanie Henderson ◽

...

Keyword(s):

Type 2 Diabetes ◽

Weight Loss ◽

Weight Gain ◽

Weight Change ◽

Short Form ◽

Community Sample ◽

Overweight And Obesity ◽

Community Dwelling ◽

Increased Risk

AbstractThis cohort study aimed to compare the incidence of type 2 diabetes in adults with depression-related weight gain, depression-related weight loss, depression with no weight change, and no depression. The study sample included 59,315 community-dwelling adults in Ontario, Canada. Depression-related weight change in the past 12 months was measured using the Composite International Diagnostic Interview—Short Form. Participants were followed for up to 20 years using administrative health data. Cox proportional hazards models compared the incidence of type 2 diabetes in adults with depression-related weight change and in adults with no depression. Adults with depression-related weight gain had an increased risk of type 2 diabetes compared to adults no depression (HR 1.70, 95% CI 1.32–2.20), adults with depression-related weight loss (HR 1.62, 95% CI 1.09–2.42), and adults with depression with no weight change (HR 1.39, 95% CI 1.03–1.86). Adults with depression with no weight change also had an increased risk of type 2 diabetes compared to those with no depression (HR 1.23, 95% CI 1.04–1.45). Associations were stronger among women and persisted after adjusting for attained overweight and obesity. Identifying symptoms of weight change in depression may aid in identifying adults at higher risk of type 2 diabetes and in developing tailored prevention strategies.

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Pengaruh Intellectual Capital terhadap Kinerja Keuangan Perusahaan

Kompartemen Jurnal Ilmiah Akuntansi ◽

10.30595/kompartemen.v17i1.3971 ◽

2020 ◽

Vol 17 (1) ◽

Author(s):

Novita Febriany

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Financial Performance ◽

Multiple Linear Regression ◽

Intellectual Capital ◽

Stock Exchange ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

T Test ◽

Analytical Technique

ABSTRACTThe purpose of this study was to examine the effect of Intellectual Capital on the Company's Financial Performance in the Kompas 100 index companies listed on the Indonesia Stock Exchange. Multiple linear regression analysis is used as the analytical technique. The results of hypothesis testing (t-test) prove that Intellectual Capital influences the Company's Financial Performance. This means that the better the Intellectual Capital owned by the compass index company 100, the higher the company's financial performance. Keywords: Intellectual Capital and Financial Performance.ABSTRAKTujuan penelitian ini adalah untuk menguji pengaruh Intellectual Capital terhadap kinerja keuangan perusahaan yang terdaftar dalam Kompas 100 index yang terdaftar pada on the Bursa Efek Indonesia. Analisis regresi berganda digunakan sebagai teknik analisis yang digunakan. Hasil pengujian hipotesis (uji t-test) menunjukkan bahwa Intellectual Capital berpengaruh positif terhadap kinerja keuangan perusahaan. Hal ini menunjukkan bahwa Intellectual Capital yang semakin baik yang dimiliki oleh perusahaan yang terdaftar dalam index Kompas 100, maka semakin tinggi pula kinerja keuangan perusahaan.

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Discrepancies Between Clinician and Participant Intervention Adherence Ratings Predict Percent Weight Change During a Six-Month Behavioral Weight Loss Intervention

Translational Behavioral Medicine ◽

10.1093/tbm/ibab011 ◽

2021 ◽

Vol 11 (4) ◽

pp. 1006-1014

Author(s):

Michael P Berry ◽

Elisabeth M Seburg ◽

Meghan L Butryn ◽

Robert W Jeffery ◽

Melissa M Crane ◽

...

Keyword(s):

Weight Loss ◽

Weight Change ◽

Weight Control ◽

Calorie Intake ◽

Behavioral Weight Loss ◽

Weight Loss Treatment ◽

Self Monitoring ◽

Weight Control Behaviors ◽

Behavioral Weight Loss Intervention ◽

Behavioral Weight Loss Treatment

Abstract Background Individuals receiving behavioral weight loss treatment frequently fail to adhere to prescribed dietary and self-monitoring instructions, resulting in weight loss clinicians often needing to assess and intervene in these important weight control behaviors. A significant obstacle to improving adherence is that clinicians and clients sometimes disagree on the degree to which clients are actually adherent. However, prior research has not examined how clinicians and clients differ in their perceptions of client adherence to weight control behaviors, nor the implications for treatment outcomes. Purpose In the context of a 6-month weight-loss treatment, we examined differences between participants and clinicians when rating adherence to weight control behaviors (dietary self-monitoring; limiting calorie intake) and evaluated the hypothesis that rating one’s own adherence more highly than one’s clinician would predict less weight loss during treatment. Methods Using clinician and participant-reported measures of self-monitoring and calorie intake adherence, each assessed using a single item with a 7- or 8-point scale, we characterized discrepancies between participant and clinician adherence and examined associations with percent weight change over 6 months using linear mixed-effects models. Results Results indicated that ratings of adherence were higher when reported by participants and supported the hypothesis that participants who provided higher adherence ratings relative to their clinicians lost less weight during treatment (p < 0.001). Conclusions These findings suggest that participants in weight loss treatment frequently appraise their own adherence more highly than their clinicians and that participants who do so to a greater degree tend to lose less weight.

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The Risks of Cardiovascular Disease and Mortality Following Weight Change in Adults with Diabetes: Results from ADVANCE

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/clinem/dgz045 ◽

2019 ◽

Vol 105 (1) ◽

pp. 152-162 ◽

Cited By ~ 1

Author(s):

Alexandra K Lee ◽

Mark Woodward ◽

Dan Wang ◽

Toshiaki Ohkuma ◽

Bethany Warren ◽

...

Keyword(s):

Type 2 Diabetes ◽

Weight Loss ◽

Weight Change ◽

Cox Regression ◽

Lifestyle Changes ◽

Baseline Body Mass Index ◽

Diabetes Medication ◽

Increased Risk ◽

All Cause Mortality

Abstract Context Weight loss is strongly recommended for overweight and obese adults with type 2 diabetes. Unintentional weight loss is associated with increased risk of all-cause mortality, but few studies have examined its association with cardiovascular outcomes in patients with diabetes. Objective To evaluate 2-year weight change and subsequent risk of cardiovascular events and mortality in established type 2 diabetes. Design and Setting The Action in Diabetes and Vascular Disease: Preterax and Diamicron-MR Controlled Evaluation was an international, multisite 2×2 factorial trial of intensive glucose control and blood pressure control. We examined 5 categories of 2-year weight change: >10% loss, 4% to 10% loss, stable (±<4%), 4% to 10% gain, and >10% gain. We used Cox regression with follow-up time starting at 2 years, adjusting for intervention arm, demographics, cardiovascular risk factors, and diabetes medication use from the 2-year visit. Results Among 10 081 participants with valid weight measurements, average age was 66 years. By the 2-year examination, 4.3% had >10% weight loss, 18.4% had 4% to 10% weight loss, and 5.3% had >10% weight gain. Over the following 3 years of the trial, >10% weight loss was strongly associated with major macrovascular events (hazard ratio [HR], 1.75; 95% confidence interval [CI], 1.26-2.44), cardiovascular mortality (HR, 2.76; 95% CI, 1.87-4.09), all-cause mortality (HR, 2.79; 95% CI, 2.10-3.71), but not major microvascular events (HR, 0.91; 95% CI, 0.61-1.36), compared with stable weight. There was no evidence of effect modification by baseline body mass index, age, or type of diabetes medication. Conclusions In the absence of substantial lifestyle changes, weight loss may be a warning sign of poor health meriting further workup in patients with type 2 diabetes.

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