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Papers by victor kekere

The dura mater often gets referred to as merely the dura. It is one of the layers of connective t... more The dura mater often gets referred to as merely the dura. It is one of the layers of connective tissue that make up the meninges of the brain (pia, arachnoid, and dura, from inside to outside). It is the outermost layer of the three meninges that surround and protect the brain and spinal cord. The dura mater is made up of fibroblasts and large amounts of extracellular collagen.The dura mater is composed of two layers: the periosteal/endosteal layer and the meningeal layer. The dural venous sinuses are between these two layers. The dura folds to form septa that create the falx cerebri, tentorium cerebelli, falx cerebelli, and diaphragma sellae.

Journal of Physical Activity Research, 2020

Abstract Objective: To evaluate the prevalence, patterns, and sociodemographic predictors of wea... more Abstract Objective: To evaluate the prevalence, patterns, and sociodemographic predictors of wearable device
use among individuals with self-reported diabetes mellitus. Methods: Data for our analysis was drawn from cycle 3
(2019) of the 5th edition of the Health Information National Trends Survey (HINTS 5). Descriptive statistics were
used to evaluate the demographic characteristics, prevalence, and frequency of wearable device use among
individuals with diabetes mellitus. Multivariable logistic regression was used to identify the sociodemographic
predictors of wearable device use. Results: We identified 1149 individuals who self-reported diabetes mellitus. Of
these, 51.2% were females, 59.3% were white, and 51.6% had less than a college education. The prevalence of
wearable device use was 20%. Further, a sizable proportion (86.1%) of the wearable device users were willing to
share information from their wearable devices with their healthcare provider, and almost half of them (43.4%)
reported daily use of these devices in the past 1-month. Significant sociodemographic predictors of wearable device
use include age, income, and level of education. Conclusion: Our results highlight the feasibility and acceptability of
using wearable devices to deliver evidence-based health care to individuals with diabetes. Future interventions
should consider the scalability of these tools and how to reach those subgroups of individuals with diabetes mellitus
to whom current technologies may be unavailable.
Keywords: wearable device, diabetes mellitus, weight loss, physical activity tracking, health behaviors

The dura mater often gets referred to as merely the dura. It is one of the layers of connective t... more The dura mater often gets referred to as merely the dura. It is one of the layers of connective tissue that make up the meninges of the brain (pia, arachnoid, and dura, from inside to outside). It is the outermost layer of the three meninges that surround and protect the brain and spinal cord. The dura mater is made up of fibroblasts and large amounts of extracellular collagen.The dura mater is composed of two layers: the periosteal/endosteal layer and the meningeal layer. The dural venous sinuses are between these two layers. The dura folds to form septa that create the falx cerebri, tentorium cerebelli, falx cerebelli, and diaphragma sellae.

Journal of Physical Activity Research, 2020

Abstract Objective: To evaluate the prevalence, patterns, and sociodemographic predictors of wea... more Abstract Objective: To evaluate the prevalence, patterns, and sociodemographic predictors of wearable device
use among individuals with self-reported diabetes mellitus. Methods: Data for our analysis was drawn from cycle 3
(2019) of the 5th edition of the Health Information National Trends Survey (HINTS 5). Descriptive statistics were
used to evaluate the demographic characteristics, prevalence, and frequency of wearable device use among
individuals with diabetes mellitus. Multivariable logistic regression was used to identify the sociodemographic
predictors of wearable device use. Results: We identified 1149 individuals who self-reported diabetes mellitus. Of
these, 51.2% were females, 59.3% were white, and 51.6% had less than a college education. The prevalence of
wearable device use was 20%. Further, a sizable proportion (86.1%) of the wearable device users were willing to
share information from their wearable devices with their healthcare provider, and almost half of them (43.4%)
reported daily use of these devices in the past 1-month. Significant sociodemographic predictors of wearable device
use include age, income, and level of education. Conclusion: Our results highlight the feasibility and acceptability of
using wearable devices to deliver evidence-based health care to individuals with diabetes. Future interventions
should consider the scalability of these tools and how to reach those subgroups of individuals with diabetes mellitus
to whom current technologies may be unavailable.
Keywords: wearable device, diabetes mellitus, weight loss, physical activity tracking, health behaviors