scholarly journals Adherence to Diet and Exercise Tracking in the Lose IT Smartphone App (Preprint)

2018 ◽  
Author(s):  
Paul Krebs ◽  
Melanie Arnold ◽  
Binhuan Wang ◽  
Brian Widener
Keyword(s):  
Generalized Linear Model ◽  
Negative Binomial ◽  
Descriptive Statistics ◽  
Smartphone Apps ◽  
Adherence To Diet ◽  
Diet And Exercise ◽  
Sustained Use ◽  
Continued Use ◽  
Lower Continuous ◽  
Goal Characteristics

BACKGROUND With increased popularity of weight loss-related smartphone apps, it is vital to explore characteristics of successful and sustained app use. Few studies have assessed characteristics of health app use in a naturalistic context. OBJECTIVE The goal of the study was to examine demographic and patient goal-related variables and assess their relationship with continued app use and dropout. METHODS A random subset of 2,500 users’ data, including age, sex, weight, goal characteristics, and region was extracted from the Lose It user database. These characteristics were measured in terms of association with sustained use (continuous food and exercise days logged), and dropout (failing to log for 30 or more days). Descriptive statistics were calculated for all of the variables and outcome variables were analyzed by a generalized linear model regression with negative binomial distribution or logistic regression. RESULTS Dropout was not common among Lose It users: only 2.9% stopped logging exercise days, and 3.6% stopped logging food days. Male users were more likely to log continuous food and exercise days than female users. Additionally, desire to lose more weight per week was significantly associated with lower continuous days logged. Starting weight, goal weight, and region were not associated with variations in sustained use. CONCLUSIONS Knowledge of what factors influence successful, continued use of applications allows developers to utilize these results to create successful applications, and allows consumers to choose realistic plans to help them better achieve their goals. CLINICALTRIAL Knowledge of what factors influence successful, continued use of applications allows developers to utilize these results to create successful applications, and allows consumers to choose realistic plans to help them better achieve their goals.

Lifestyle modification adherence among patients attending diabetes clinics in selected hospitals in Remo zone Ogun State, Nigeria

2021 ◽  
Vol 4 (1) ◽  
pp. 23-32
Author(s):  
Adebayo Akadri ◽  
Omobolanle Akadri
Keyword(s):  
Logistic Regression ◽  
Lifestyle Modification ◽  
Exercise Adherence ◽  
Cross Sectional Study ◽  
Dietary Recommendations ◽  
Enabling Factors ◽  
Cross Sectional ◽  
Adherence To Diet ◽  
Ogun State ◽  
Diet And Exercise

Objective: Lifestyle modification is an essential component of self-management of diabetes mellitus. This study assessed adherence to diet and exercise recommendations and elucidated the factors that influence adherence in patients living with diabetes. Method: A cross-sectional study involving 300 patients attending diabetes clinics in some selected hospitals in Ogun State, Nigeria. Structured questionnaires were used to obtain information on the socio-demographic characteristics, and PRECEDE factors of lifestyle-modification adherence in the study participants. Pearson’s correlation and Chi-square test were used to assess the association between the variables, while binary logistic regression was used to determine the predictors of adherence to dietary recommendations. Results: The mean age of the study respondents was 62.7 years. The proportion of respondents who adhered to dietary and exercise recommendations were 87.8% and 45.6% respectively. There were no statistically significant linear relationships between scores for each PRECEDE factor and scores for adherence to diet and exercise. Respondents’ age, body mass index, and duration of illness had a statistically significant association with adherence to diet (P< 0.001, P=0.021, and P=0.041 respectively). On logistic regression analysis, participants 60 years and older had a higher likelihood of adhering to dietary modification than younger participants [AOR=2.6, P < 0.001]. Conclusion: The adherence of patients living with diabetes to dietary recommendations was satisfactory while adherence to exercise recommendations was very poor. There is a need for health care workers, especially at the primary and secondary levels to implement strategies that will enhance reinforcing and enabling factors for exercise adherence.

Mixed Generalized Linear Model for Estimating Household Trip Production

2000 ◽  
Vol 1718 (1) ◽  
pp. 61-67 ◽  
Author(s):  
Chang-Jen Lan ◽  
Patricia S. Hu
Keyword(s):  
Linear Model ◽  
Generalized Linear Model ◽  
Negative Binomial ◽  
Empirical Distribution ◽  
Distribution Functions ◽  
Model Specification ◽  
Parameter Estimates ◽  
Modeling Framework ◽  
Personal Transportation ◽  
Trip Production

An innovative modeling framework to estimate household trip rates using 1995 Nationwide Personal Transportation Survey data is presented. A generalized linear model with a mixture of negative binomial probability distribution functions was developed on the basis of characteristics observed from the empirical distribution of household daily trips. This model provides a more flexible framework and a better model specification for analyzing household-specific trip production behavior. Compared with traditional least squares-based regression models, the parameter estimates from the proposed model are more efficient. Although the mean accuracies from the two modeling approaches are comparable, the mixed generalized linear model is more robust in identifying outliers due to its unsymmetric prediction bounds derived from more correct model specification.

scholarly journals Drug Prescription And Adherence To Diet And Exercise Among Hypertensive Patients At The Mexican Institute Of Social Security (Imss)

2014 ◽  
Vol 17 (3) ◽  
pp. A120
Author(s):  
R.O. Uc-Coyoc ◽  
L.A. Coello-Reyes ◽  
A.G. Pérez-Reynaud ◽  
M.A. Rodriguez-Díaz Ponce
Keyword(s):  
Social Security ◽  
Drug Prescription ◽  
Hypertensive Patients ◽  
Adherence To Diet ◽  
Diet And Exercise

Reframing Serial Murder Within Empirical Research

2016 ◽  
Vol 61 (5) ◽  
pp. 544-560 ◽  
Author(s):  
Elizabeth A. Gurian
Keyword(s):  
Popular Culture ◽  
Case Studies ◽  
Empirical Research ◽  
Descriptive Statistics ◽  
Serial Killers ◽  
Serial Murder ◽  
Comprehensive Overview ◽  
Serial Homicide ◽  
Continued Use ◽  
Offending Patterns

Empirical research on serial murder is limited due to the lack of consensus on a definition, the continued use of primarily descriptive statistics, and linkage to popular culture depictions. These limitations also inhibit our understanding of these offenders and affect credibility in the field of research. Therefore, this comprehensive overview of a sample of 508 cases (738 total offenders, including partnered groups of two or more offenders) provides analyses of solo male, solo female, and partnered serial killers to elucidate statistical differences and similarities in offending and adjudication patterns among the three groups. This analysis of serial homicide offenders not only supports previous research on offending patterns present in the serial homicide literature but also reveals that empirically based analyses can enhance our understanding beyond traditional case studies and descriptive statistics. Further research based on these empirical analyses can aid in the development of more accurate classifications and definitions of serial murderers.

scholarly journals Diet and Exercise Adherence and Practices Among Medically Underserved Patients With Chronic Disease

2012 ◽  
Vol 40 (1) ◽  
pp. 56-66 ◽  
Author(s):  
Kathryn M. Orzech ◽  
James Vivian ◽  
Cristina Huebner Torres ◽  
Julie Armin ◽  
Susan J. Shaw
Keyword(s):  
Health Care ◽  
Chronic Disease ◽  
Ethnic Groups ◽  
Exercise Adherence ◽  
Lifestyle Changes ◽  
Medically Underserved ◽  
Care Providers ◽  
Adherence To Diet ◽  
Diet And Exercise ◽  
Underserved Patients

Many factors interact to create barriers to dietary and exercise plan adherence among medically underserved patients with chronic disease, but aspects related to culture and ethnicity are underexamined in the literature. Using both qualitative ( n = 71) and quantitative ( n = 297) data collected in a 4-year, multimethod study among patients with hypertension and/or diabetes, the authors explored differences in self-reported adherence to diet and exercise plans and self-reported daily diet and exercise practices across four ethnic groups—Whites, Blacks, Vietnamese, and Latinos—at a primary health care center in Massachusetts. Adherence to diet and exercise plans differed across ethnic groups even after controlling for key sociodemographic variables, with Vietnamese participants reporting the highest adherence. Food and exercise options were shaped by economic constraints as well as ethnic and cultural familiarity with certain foods and types of activity. These findings indicate that health care providers should consider ethnicity and economic status together to increase effectiveness in encouraging diverse populations with chronic disease to make healthy lifestyle changes.

scholarly journals Non-adherence to diet and exercise recommendations amongst patients with type 2 diabetes mellitus attending Extension II Clinic in Botswana

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
Adewale B. Ganiyu ◽  
Langalibalele H. Mabuza ◽  
Nomsa H. Malete ◽  
Indiran Govender ◽  
Gboyega A. Ogunbanjo
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Poor Adherence ◽  
High Rate ◽  
Adherence To Diet ◽  
Lack Of Information ◽  
Diet And Exercise ◽  
Lifestyle Recommendations

Background: Patients diagnosed with type 2 diabetes mellitus in Extension II Clinic in Botswana have difficulty in adhering to the lifestyle modifications recommended by healthcare practitioners. Poor adherence to lifestyle recommendations leads to poor control of the condition and consequently to complications.Objectives: The aim of the study was to determine reasons for poor adherence to lifestyle recommendations amongst the patients. The objectives were to determine: reasons for pooradherence to dietary requirements, exercise recommendations, the support they had in adhering to the recommendations, and their understanding of the role of dietary and exercise requirements in the management of their condition.Method: This was a cross-sectional descriptive study. The sample comprised of 105 participants. Data on participants’ baseline characteristics and adherence to dietary and exercise habits were analysed using the SPSS 14.0 version.Results: The sample of 104 participants comprised of 61 (58.7%) women. The rates of nonadherence to diet and exercise were 37% and 52% respectively. The main reasons for nonadherence to diet were: poor self-discipline (63.4%); lack of information (33.3%) and thetendency to eat out (31.7%). The main reasons for non-adherence to exercise were: lack of information (65.7%); the perception that exercise exacerbated their illness (57.6%) and lack of an exercise partner (24.0%).Conclusion: There was a relatively high rate of non-adherence to both diet and exercise recommendations by patients suffering from type 2 diabetes mellitus at Extension II Clinic,Botswana, with non-adherence to exercise recommendations more common.

scholarly journals Community Mobility and COVID-19 Dynamics in Jakarta, Indonesia

2021 ◽  
Author(s):  
Ratih Oktri Nanda ◽  
Aldilas Achmad Nursetyo ◽  
Aditya Lia Ramadona ◽  
Muhammad Ali Imron ◽  
Anis Fuad ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Model ◽  
Generalized Linear Model ◽  
Negative Binomial ◽  
Human Mobility ◽  
Management Strategies ◽  
Principal Component ◽  
Outbreak Management ◽  
Community Mobility

Background Human mobility could act as a vector to facilitate the spread of infectious diseases. In response to the COVID-19 pandemic, Google Community Mobility Reports (CMR) provide the necessary data to explore community mobility further. Therefore, we aimed to examine the relationship between community mobility on COVID-19 dynamics in Jakarta, Indonesia. Methods We utilized the mobility data from Google from February 15 to December 31, 2020. We explored several statistical models to estimate the COVID-19 dynamics in Jakarta. Model 1 was a Poisson Regression Generalized Linear Model (GLM), Model 2 was a Negative Binomial Regression Generalized Linear Model (GLM), and Model 3 was a Multiple Linear Regression (MLR). Results We found that Multiple Linear Regression (MLR) with some adjustments using Principal Component Analysis (PCA) was the best fit model. It explained 52% of COVID-19 cases in Jakarta (R-Square: 0.52, p<0.05). All mobility variables were significant predictors of COVID-19 cases (p<0.05). More precisely, about 1% change in grocery and pharmacy would contribute to a 4.12% increase of the COVID-19 cases in Jakarta. Retails and recreations, workplaces, transit stations, and parks would result in 3.11%, 2.56%, 2.26%, and 1.93% of more COVID-19 cases, respectively. Conclusion Our study indicates that increased mobility contributes to increased COVID-19 cases. This finding will be beneficial to assist policymakers to have better outbreak management strategies, to anticipate increased COVID-19 cases in the future at certain public places and during seasonal events such as annual religious holidays or other long holidays in particular.

scholarly journals Drug-related female autointoxication registered at a toxicology care center

2021 ◽  
Vol 11 (1) ◽  
pp. 14-21
Author(s):  
Maria Beatriz de Sousa ◽  
Renata Sano Lini ◽  
Magda Lúcia Félix De Oliveira ◽  
Simone Aparecida Galerani Mossini
Keyword(s):  
Suicide Attempts ◽  
Care Center ◽  
Secondary Data ◽  
Descriptive Statistics ◽  
Age Group ◽  
Southern Brazil ◽  
Toxic Agent ◽  
Sole Agent ◽  
Continued Use ◽  
Ease Of Access

Objective: To analyze the data on epidemiological records of autointoxication reports registered at a toxicological assistance center. Methods: Exploratory, descriptive, and retrospective study with the analysis of secondary data, conducted from the audit on Toxicological Occurrence Notification and Attendance forms, referring to the period from 2014 to 2018, filed in a toxicological information and assistance center, located in a municipality in southern Brazil. The data obtained were compiled in spreadsheets and analyzed using simple descriptive statistics. Results: 2,942 epidemiological records on women's autointoxication were audited, 72.0% of the total cases in the period studied. The predominant age group was 18 to 29 years old, with 1697 (57.7%) cases. The main toxic agent was medication, and the only agent of intoxication in 2,358 cases (80.1%). Psychotropic drugs accounted for 55.2% (1,593) of the cases, mainly antiepileptic and psychoanalytic drugs. Clonazepam was present in 567 (35.6%) suicide attempts and as the sole agent in 275 (17.3%) of them. In 873 cases (54.8%), mental illness was reported, in 546 (34.3%) previous suicide attempts, and 1,082 (67.9%) continued use of psychotropic medication. The main outcome was hospital discharge in 1,239 cases (77.8%). Conclusion: The study showed an increase in cases of female autointoxication over the period studied. The high percentage of autointoxication with psychotropic medications may be related to the ease of access at home and society's medicalization.

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