Approaches to Facilitating Analysis of Health and Wellness Data

2011 ◽  
pp. 92-111
Author(s):  
Lena Mamykina ◽  
Elizabeth D. Mynatt
Keyword(s):  
Chronic Diseases ◽  
Real World ◽  
Educational Level ◽  
Advanced Age ◽  
Health And Wellness ◽  
Visualization Of Data ◽  
Social Scaffolding

In the last decade novel sensing technologies enabled development of applications that help individuals with chronic diseases monitor their health and activities. These applications often generate large volumes of data that need to be processed and analyzed. At the same time, many of these applications target non-professionals and individuals of advanced age and low educational level. These users may find the data collected by the applications challenging and overwhelming, rather than helpful, and may require additional assistance in interpreting it. In this paper we discuss two different approaches to designing computing applications that not only collect the relevant health and wellness data but also find creative ways to engage individuals in the analysis and assist with interpretation of the data. These approaches include visualization of data using simple real world imagery and metaphors, and social scaffolding mechanisms that help novices learn by observing and imitating experts. We present example applications that utilize both of these approaches and discuss their relative strengths and limitations.

Interpreting Health and Wellness Information

2010 ◽  
pp. 74-90 ◽  
Author(s):  
Lena Mamykina ◽  
Elizabeth Mynatt
Keyword(s):  
Chronic Diseases ◽  
Real World ◽  
Educational Level ◽  
Advanced Age ◽  
Health And Wellness ◽  
Visualization Of Data ◽  
Social Scaffolding

In the last decade, novel sensing technologies enabled development of applications that help individuals with chronic diseases monitor their health and activities. These applications can generate large volumes of data that need to be processed and analyzed. At the same time, many of these applications are designed for non-professional use by individuals of advanced age and low educational level. These users may find the data collected by the applications challenging and overwhelming, rather than helpful, and may require additional assistance in interpreting it. In this chapter, we discuss two different approaches to designing computing applications that not only collect the relevant health and wellness data but also find creative ways to engage individuals in the analysis and assist with interpretation of the data. These approaches include visualization of data using simple real world imagery and metaphors, and social scaffolding mechanisms that help novices learn by observing and imitating experts. We present example applications that utilize both of these approaches and discuss their relative strengths and limitations.

Interpreting Health and Wellness Information

2011 ◽  
pp. 510-526
Author(s):  
Lena Mamykina ◽  
Elizabeth Mynatt
Keyword(s):  
Chronic Diseases ◽  
Real World ◽  
Educational Level ◽  
Advanced Age ◽  
Health And Wellness ◽  
Visualization Of Data ◽  
Social Scaffolding

In the last decade, novel sensing technologies enabled development of applications that help individuals with chronic diseases monitor their health and activities. These applications can generate large volumes of data that need to be processed and analyzed. At the same time, many of these applications are designed for non-professional use by individuals of advanced age and low educational level. These users may find the data collected by the applications challenging and overwhelming, rather than helpful, and may require additional assistance in interpreting it. In this chapter, we discuss two different approaches to designing computing applications that not only collect the relevant health and wellness data but also find creative ways to engage individuals in the analysis and assist with interpretation of the data. These approaches include visualization of data using simple real world imagery and metaphors, and social scaffolding mechanisms that help novices learn by observing and imitating experts. We present example applications that utilize both of these approaches and discuss their relative strengths and limitations.

scholarly journals Transdisciplinary Translational Science for Youth Health and Wellness: Introduction to a Special Issue

2021 ◽  
Author(s):  
Ashley T. Scudder ◽  
Gregory J. Welk ◽  
Richard Spoth ◽  
Constance C. Beecher ◽  
Michael C. Dorneich ◽  
...  
Keyword(s):  
Real World ◽  
Social Needs ◽  
Research Network ◽  
World Health ◽  
Translational Science ◽  
Community Practice ◽  
Health And Wellness ◽  
Youth Health ◽  
Special Issue ◽  
Interdisciplinary Approaches

Abstract Background Transdisciplinary translational science applies interdisciplinary approaches to the generation of novel concepts, theories and methods involving collaborations among academic and non-academic partners, in order to advance the translation of science into broader community practice. Objective This paper introduces a special issue on transdisciplinary translational science for youth health and wellness. We provide an overview of relevant research paradigms, share the related goals of the Iowa State University Translational Research Network (U-TuRN), and introduce the specific papers in the issue. Method Authors were asked to submit empirical reports, programmatic reviews or policy-related papers that examined youth health issues from a transdisciplinary translational perspective. Results The papers included in this special issue each involve direct and fully-integrated community-university partnerships and collaborations between academic and non-academic partners in scholarship and research. Reports emphasize the value of the applied nature of the work with a research agenda driven primarily by real-world health and social needs. Conclusions There is growing acceptance of the need for transdisciplinary, community-university collaborative research approaches as a means to meet both the requirements posed by real-world problems as well as goals of advancing scientific knowledge and innovation. In this issue, readers will find papers that show the promise of rethinking existing conceptual frameworks to incorporate transdisciplinary approaches as a catalyst to addressing translational science questions related to the field of children and youth care.

scholarly journals Prevalence of anemia and associated factors in older adults: evidence from the SABE Study

2014 ◽  
Vol 48 (5) ◽  
pp. 723-431 ◽  
Author(s):  
Ligiana Pires Corona ◽  
Yeda Aparecida de Oliveira Duarte ◽  
Maria Lucia Lebrão
Keyword(s):  
Older Adults ◽  
Chronic Diseases ◽  
Associated Factors ◽  
Distribution Curve ◽  
Descriptive Analysis ◽  
Advanced Age ◽  
Depression Symptoms ◽  
Sabe Study ◽  
Aging Study ◽  
Prevalence Of Anemia

OBJECTIVE To assess the prevalence of anemia and associated factors in older adults. METHODS The prevalence and factors associated with anemia in older adults were studied on the basis of the results of the Saúde, Bem-Estar e Envelhecimento (SABE – Health, Welfare and Aging) study. A group of 1,256 individuals were interviewed during the third wave of the SABE study performed in Sao Paulo, SP, in 2010. The study included 60.4% females; the mean age of the participants was 70.4 years, and their average education was 5.3 years. The dependent variable was the presence of anemia (hemoglobin levels: 12 g/dL in women and 13 g/dL in men). Descriptive analysis and hierarchical logistic regression were performed. The independent variables were as follows: a) demographics: gender, age, and education and b) clinical characteristics: self-reported chronic diseases, presence of cognitive decline and depression symptoms, and body mass index. RESULTS The prevalence of anemia was 7.7% and was found to be higher in oldest adults. There was no difference between genders, although the hemoglobin distribution curve in women showed a displacement toward lower values in comparison with the distribution curve in men. Advanced age (OR = 1.07; 95%CI 0.57;1.64; p < 0.001), presence of diabetes (OR = 2.30; 95%CI 1.33;4.00; p = 0.003), cancer (OR = 2.72; 95%CI 1.2;6.11; p = 0.016), and presence of depression symptoms (OR = 1.75; 95%CI 1.06;2.88; p = 0.028) remained significant even after multiple analyses. CONCLUSIONS The prevalence of anemia in older adults was 7.7% and was mainly associated with advanced age and presence of chronic diseases. Thus, anemia can be an important marker in the investigation of health in older adults because it can be easily diagnosed and markedly affects the quality of life of older adults.

scholarly journals Association between area-level education and the co-occurrence of behavior-related risk factors: a multilevel analysis

2019 ◽  
Vol 22 ◽  
Author(s):  
Antonio Fernando Boing ◽  
SV Subramanian ◽  
Alexandra Crispim Boing
Keyword(s):  
Risk Factors ◽  
Chronic Diseases ◽  
Educational Level ◽  
Physical Inactivity ◽  
Eating Habits ◽  
Significant Proportion ◽  
Simultaneous Occurrence ◽  
Cross Sectional ◽  
Individual Level ◽  
Unhealthy Eating

ABSTRACT: Introduction: This study aimed to investigate the association of four different risk factors for chronic diseases and accumulation of these health behaviors with area-level education, regardless of individual-level characteristics in Brazil. Methods: A population-based cross-sectional study was carried out in Southern Brazil including 1,720 adults in 2009/2010. The simultaneous occurrence of tobacco smoking, abusive drinking, unhealthy eating habits, and physical inactivity was investigated. Using multilevel models, we tested whether area-level education was associated with each risk factor and with the co-occurrence of them after controlling sociodemographic individual-level variables. Results: We observed a between-group variance of 7.79, 7.11, 6.84 and 1.08% for physical inactivity, problematic use of alcohol, unhealthy eating habits, and smoking, respectively. The between-group variance for the combination of four behaviors was 14.2%. Area-level education explained a significant proportion of the variance observed in physical inactivity and unhealthy eating habits. Residents of low educational level neighborhoods showed a 2.40 (95%CI 1.58 - 3.66) times higher chance of unhealthy eating and 1.78 (95%CI 1.19 - 2.67) times higher chance of physical inactivity. The likelihood of individuals with two or three/four risk factors was simultaneously higher among residents of low educational level neighborhoods. Conclusion: Public policies should consider the area-level characteristics, including education to control risk factors for chronic diseases.

scholarly journals Risk Factors for Cognitive Impairment in Patients with Type 2 Diabetes

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Lin Sun ◽  
Xue Diao ◽  
Xiaokun Gang ◽  
You Lv ◽  
Xue Zhao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cognitive Impairment ◽  
Educational Level ◽  
Characteristic Curve ◽  
Fasting Blood Glucose ◽  
Advanced Age ◽  
Urine Protein ◽  
Duration Of Diabetes

Objectives. To investigate the risk factors for cognitive impairment in Chinese type 2 diabetes mellitus (T2DM) patients of advanced age and to identify effective biomarkers of mild cognitive impairment (MCI) in these patients. Methods. Chinese T2DM patients (n=120) aged 50–70 years were divided into groups with impaired (mild, moderate, and severe) and normal cognitive function based on Montreal Cognitive Assessment and Mini-Mental State Examination scores. Data regarding demographic characteristics, clinical features of diabetes, biochemical markers, and metabolomics were collected. Results. Age, educational level, duration of diabetes, fasting blood glucose (FBG), HbA1c, total cholesterol (TC), triglyceride (TG), and 24-hour urine protein were significantly associated with cognitive impairment in T2DM patients of advanced age. The severity of fundus retinopathy and the incidence of macrovascular disease also differed significantly among the groups (P<0.05). Metabolomics analysis suggested that increased levels of glutamate (Glu), phenylalanine (Phe), tyrosine (Tyr), proline (Pro), and homocysteine (Hcy) and a decreased level of glutamine (Gln) were significantly associated with cognitive impairment in the T2DM patients (P<0.05). Receiver operating characteristic curve analysis demonstrated that Glu, Gln, Phe, and Pro levels were significant predictors of cognitive impairment in the T2DM patients. Conclusions. Age, educational level, duration of diabetes, and the levels of FBG, HbA1c, TC, TG, and 24-hour urine protein were considered as independent risk factors for cognitive impairment in older T2DM patients. Macrovascular and microvascular diseases also were closely associated with cognitive impairment in these patients. Together, Glu and Gln levels may represent a good predictive biomarker for the early diagnosis of cognitive impairment in T2DM patients.

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