Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Natasha J. Williams is active.

Publication


Featured researches published by Natasha J. Williams.


Current Hypertension Reports | 2014

Psychosocial Risk Factors for Hypertension: an Update of the Literature

Yendelela L. Cuffee; Chinwe Ogedegbe; Natasha J. Williams; Gbenga Ogedegbe; Antoinette Schoenthaler

A growing body of research demonstrates that psychosocial factors play an important role in the development of hypertension. Previous reviews have identified several key factors (i.e., occupational stress) that contribute to the onset of hypertension; however, they are now outdated. In this review, we provide an updated synthesis of the literature from 2010 to April 2014. We identified 21 articles for inclusion in the review, of which there were six categories of psychosocial stressors: occupational stress, personality, mental health, housing instability, social support/isolation, and sleep quality. Sixteen of the studies reported an association between the psychosocial stressor and blood pressure. While several findings were consistent with previous literature, new findings regarding mediating and moderating factors underlying the psychosocial-hypertension association help to untangle inconsistencies reported in the literature. Moreover, sleep quality is a novel additional factor that should undergo further exploration. Areas for future research based on these findings are discussed.


Sleep Medicine | 2016

Sleep disparity, race/ethnicity, and socioeconomic position

Michael A. Grandner; Natasha J. Williams; Kristen L. Knutson; Dorothy E. Roberts; Girardin Jean-Louis

Sleep represents a set of biological functions necessary for the maintenance of life. Performing these functions, though, requires that an individual engage in behaviors, which are affected by social and environmental factors. Race/ethnicity and socioeconomic position represent categories of factors that likely play a role in the experience of sleep in the community. Previous studies have suggested that racial/ethnic minorities and the socioeconomically disadvantaged may be more likely to experience sleep patterns that are associated with adverse health outcomes. It is possible that disparities in sleep represent a pathway by which larger disparities in health emerge. This review (1) contextualizes the concept of race/ethnicity in biomedical research, (2) summarizes previous studies that describe patterns of sleep attainment across race/ethnicity groups, (3) discusses several pathways by which race/ethnicity may be associated with sleep, (4) introduces the potential role of socioeconomic position in the patterning of sleep, and (5) proposes future research directions to address this issue.


Frontiers in Neurology | 2015

Social and Behavioral Determinants of Perceived Insufficient Sleep

Michael A. Grandner; Nicholas Jackson; Bilgay Izci-Balserak; Rebecca A. Lang Gallagher; Renee Murray-Bachmann; Natasha J. Williams; Nirav P. Patel; Girardin Jean-Louis

Insufficient sleep is associated with cardiometabolic disease and poor health. However, few studies have assessed its determinants in a nationally representative sample. Data from the 2009 behavioral risk factor surveillance system were used (N = 323,047 adults). Insufficient sleep was assessed as insufficient rest/sleep over 30 days. This was evaluated relative to sociodemographics (age, sex, race/ethnicity, marital status, region), socioeconomics (education, income, employment, insurance), health behaviors (diet, exercise, smoking, alcohol), and health/functioning (emotional support, BMI, mental/physical health). Overall, insufficient sleep was associated with being female, White or Black/African-American, unemployed, without health insurance, and not married; decreased age, income, education, physical activity; worse diet and overall health; and increased household size, alcohol, and smoking. These factors should be considered as risk factors for insufficient sleep.


Clinical practice (London, England) | 2013

Linking sleep duration and obesity among black and white US adults

Margaret Donat; Clinton D. Brown; Natasha J. Williams; Abhishek Pandey; Christie Racine; Samy I McFarlane; Girardin Jean-Louis

AIMS The effect of race/ethnicity on the risk of obesity associated with short or long sleep durations is largely unknown. This study assessed whether the sleep-obesity link differentially affects black and whites. METHODS Analysis was based on data obtained from 29,818 adult American respondents from the 2005 National Health Interview Survey, a cross-sectional household interview survey. RESULTS Multivariate-adjusted odds ratios for obesity associated with short sleep (≤6 h) among blacks and whites were 1.98 (95% CI: 1.69-2.30) and 1.20 (95% CI: 1.10-1.31), respectively, and with long sleep (≥9 h) for blacks and whites were 1.48 (95% CI: 1.14-1.93) and 0.77 (95% CI: 0.67-0.89), respectively (all p < 0.001). CONCLUSION Race/ethnicity may have significantly influenced the likelihood of reporting obesity associated with short and long sleep durations. Relative to white respondents, an excess of 78% of black respondents showed increased obesity odds associated with short sleep. Black long sleepers also showed increased odds for obesity, but white long sleepers may be at a reduced obesity risk.


Sleep Medicine | 2016

Social and behavioral predictors of insufficient sleep among African Americans and Caucasians

Natasha J. Williams; Michael A. Grandner; Douglas M. Wallace; Yendelela L. Cuffee; Collins O. Airhihenbuwa; Kolawole S. Okuyemi; Gbenga Ogedegbe; Girardin Jean-Louis

BACKGROUND Few studies have examined the social and behavioral predictors of insufficient sleep. OBJECTIVE To assess the social and behavioral predictors of insufficient sleep in the U.S. METHODS Data from the 2009 Behavioral Risk Factor Surveillance System (BRFSS) were analyzed. Telephone interviews were conducted in six representative states that completed the optional sleep module. A total of 31,059 respondents were included in the present analysis. BRFSS-provided weights were applied to analyses to adjust for the use of complex design. RESULTS The mean age for the sample was 56 ± 16 years, with 63% of the sample being female; 88% identified as non-Hispanic white and 12% identified as non-Hispanic black; 42% were not married and 8% did not have a high school degree. The prevalence of insufficient sleep (<7 hours) was 37%. Multivariate-adjusted logistic regression revealed associations of four important factors with insufficient sleep, which were: working more than 40 hours per week [OR = 1.65, p < 0.001, 95% CI = 1.65-1.66], black race/ethnicity [OR = 1.37, p < 0.001, 95% CI = 1.37-1.38], history of heart disease [OR = 1.26, p < 0.001, 95% CI = 1.25-1.28], care-giving to family/friends [OR = 1.50, p < 0.001, 95% CI = 1.49-1.51], and lack of social and emotional support [OR = 1.24, p < 0.001, 95% CI = 1. 23-1.25]. CONCLUSION Social and behavioral predictors of health uniquely contribute to the report of insufficient sleep and should be considered when developing programs to increase awareness of the adverse effects of insufficient sleep.


Preventive Medicine | 2015

Sleep insufficiency and the natural environment: results from the US Behavioral Risk Factor Surveillance System Survey

Diana S. Grigsby-Toussaint; Kedir N. Turi; Mark Krupa; Natasha J. Williams; Seithikurippu R. Pandi-Perumal; Girardin Jean-Louis

BACKGROUND Exposure to the natural environment may improve health behaviors and mental health outcomes such as increased levels of physical activity and lower levels of depression associated with sleep quality. Little is known about the relationship between insufficient sleep and the natural environment. PURPOSE To determine whether exposure to attributes of the natural environment (e.g., greenspace) attenuates the likelihood of reporting insufficient sleep among US adults. METHODS Multiple logistic regression models were used to explore the association between self-reported days of insufficient sleep (in the past 30days) and access to the natural environment in a multi-ethnic, nationally representative sample (n=255,171) of US adults ≥18years of age enrolled in the 2010 Behavioral Risk Factor Surveillance System. RESULTS Using 1-to-6days of insufficient sleep as the referent group for all analyses, lower odds of exposure to natural amenities were observed for individuals reporting 21-to-29days (OR=0.843, 95% confidence interval (CI)=0.747, 0.951) of insufficient sleep. In stratified analyses, statistically significant lower odds of exposure to natural amenities were found among men reporting 7-to-13-days (OR=0.911, 95% CI=0.857, 0.968), 21-to-29-days (OR=0.838, 95% CI=0.759, 0.924), and 30-days (OR=0.860, 95% CI=0.784, 0.943) of insufficient sleep. Greenspace access was also protective against insufficient sleep for men and individuals aged 65+. CONCLUSIONS In a representative sample of US adults, access to the natural environment attenuated the likelihood of reporting insufficient sleep, particularly among men. Additional studies are needed to examine the impact of natural environment exposure on sleep insufficiency across various socio-demographic groups.


Sleep | 2016

Implementation of Sleep and Circadian Science: Recommendations from the Sleep Research Society and National Institutes of Health Workshop.

Sairam Parthasarathy; Mary A. Carskadon; Girardin Jean-Louis; Judith A. Owens; Adam D. Bramoweth; Daniel Combs; Lauren Hale; Elizabeth M. Harrison; Chantelle N. Hart; Brant P. Hasler; Sarah Morsbach Honaker; Elisabeth Hertenstein; Samuel T. Kuna; Clete A. Kushida; Jessica C. Levenson; Caitlin B. Murray; Allan I. Pack; Vivek Pillai; Kristi E. Pruiksma; Azizi Seixas; Patrick J. Strollo; Saurabh S. Thosar; Natasha J. Williams; Daniel J. Buysse

Sairam Parthasarathy, MD1; Mary A. Carskadon, PhD2,3; Girardin Jean-Louis, PhD4; Judith Owens, MD, MPH5; Adam Bramoweth, PhD6; Daniel Combs, MD1; Lauren Hale, PhD7; Elizabeth Harrison, PhD8; Chantelle N. Hart, PhD9; Brant P. Hasler, PhD10; Sarah M. Honaker, PhD, CBSM11; Elisabeth Hertenstein, PhD12; Samuel Kuna, MD13; Clete Kushida, MD, PhD14; Jessica C. Levenson, PhD10; Caitlin Murray, MA15; Allan I. Pack, MD, PhD13; Vivek Pillai, PhD16; Kristi Pruiksma, PhD17; Azizi Seixas, PhD4; Patrick Strollo, MD18; Saurabh S. Thosar, PhD19; Natasha Williams, MD4; Daniel Buysse, MD6


BMC Public Health | 2015

Differential increase in prevalence estimates of inadequate sleep among black and white Americans

Girardin Jean-Louis; Michael A. Grandner; Shawn D. Youngstedt; Natasha J. Williams; Ferdinand Zizi; Daniel F. Sarpong; Gbenga Ogedegbe

BackgroundThe National Health Interview Survey (NHIS) was used to ascertain whether increases in inadequate sleep differentially affected black and white Americans. We tested the hypothesis that prevalence estimates of inadequate sleep were consistently greater among blacks, and that temporal changes have affected these two strata differentially.MethodsNHIS is an ongoing cross-sectional study of non-institutionalized US adults (≥18 years) providing socio-demographic, health risk, and medical factors. Sleep duration was coded as very short sleep [VSS] (<5 h), short sleep [SS] (5–6 h), or long sleep [LS] (>8 h), referenced to 7–8 h sleepers. Analyses adjusted for NHIS’ complex sampling design using SAS-callable SUDAAN.ResultsAmong whites, the prevalence of VSS increased by 53 % (1.5 % to 2.3 %) from 1977 to 2009 and the prevalence of SS increased by 32 % (19.3 % to 25.4 %); prevalence of LS decreased by 30 % (11.2 % to 7.8 %). Among blacks, the prevalence of VSS increased by 21 % (3.3 % to 4.0 %) and the prevalence of SS increased by 37 % (24.6 % to 33.7 %); prevalence of LS decreased by 42 % (16.1 % to 9.4 %). Adjusted multinomial regression analysis showed that odds of reporting inadequate sleep for whites were: VSS (OR = 1.40, 95 % CI = 1.13-1.74, p < 0.001), SS (OR = 1.34, 95 % CI = 1.25-1.44, p < 0.001), and LS (OR = 0.94, 95 % CI = 0.85-1.05, NS). For blacks, estimates were: VSS (OR = 0.83, 95 % CI = 0.60-1.40, NS), SS (OR = 1.21, 95 % CI = 1.05-1.50, p < 0.001), and LS (OR = 0.84, 95 % CI = 0.64-1.08, NS).ConclusionsBlacks and whites are characteristically different regarding the prevalence of inadequate sleep over the years. Temporal changes in estimates of inadequate sleep seem dependent upon individuals’ race/ethnicity.


Trials | 2014

Telephone-delivered behavioral intervention among blacks with sleep apnea and metabolic syndrome: study protocol for a randomized controlled trial

Natasha J. Williams; Girardin Jean-Louis; Clinton D. Brown; Samy I. McFarlane; Carla Boutin-Foster; Gbenga Ogedegbe

BackgroundLack of adherence to recommended treatment for obstructive sleep apnea remains an ongoing public health challenge. Despite evidence that continuous positive airway pressure (CPAP) is effective and improves overall quality of life, adherence with the use of CPAP in certain racial/ethnic groups, especially blacks, is suboptimal. Evidence indicates that the incidence and prevalence of obstructive sleep apnea are higher among blacks, relative to whites, and blacks are less likely to adhere to recommended treatment compared with other racial/ethnic groups.MethodsUsing a two-arm randomized controlled design, this study will evaluate the effectiveness of a culturally and linguistically tailored telephone-delivered intervention to promote adherence to physician-recommended sleep apnea assessment and treatment among blacks with metabolic syndrome, versus an attention-control arm. The intervention is designed to foster adherence to recommended sleep apnea care using the stages-of-change model. The intervention will be delivered entirely over the telephone. Participants in the intervention arm will receive 10 phone calls to address challenges and barriers to recommended care. Outcomes will be assessed at baseline, and at 6- and 12-months post-randomization.DiscussionThis tailored behavioral intervention will improve adherence to sleep apnea assessment and treatment among blacks with metabolic syndrome. We expect to demonstrate that this intervention modality is feasible in terms of time and cost and can be replicated in populations with similar racial/ethnic backgrounds.Trial registrationThe study is registered at clinicaltrials.gov NCT01946659 (February 2013)


Contemporary Clinical Trials | 2013

Chronic moderate sleep restriction in older long sleepers and older average duration sleepers: A randomized controlled trial

Shawn D. Youngstedt; Girardin Jean-Louis; Richard R. Bootzin; Daniel F. Kripke; Jonnifer Cooper; Lauren R. Dean; Fabio Catao; Shelli James; Caitlin Vining; Natasha J. Williams; Michael R. Irwin

Epidemiologic studies have consistently shown that sleeping <7 h and ≥8 h is associated with increased mortality and morbidity. The risks of short sleep may be consistent with results from experimental sleep deprivation studies. However, there has been little study of chronic moderate sleep restriction and little evaluation of older adults who might be more vulnerable to negative effects of sleep restriction, given their age-related morbidities. Moreover, the risks of long sleep have scarcely been examined experimentally. Moderate sleep restriction might benefit older long sleepers who often spend excessive time in bed (TIB) in contrast to older adults with average sleep patterns. Our aims are: (1) to examine the ability of older long sleepers and older average sleepers to adhere to 60 min TIB restriction; and (2) to contrast effects of chronic TIB restriction in older long vs. average sleepers. Older adults (n = 100) (60-80 years) who sleep 8-9 h per night and 100 older adults who sleep 6-7.25 h per night will be examined at 4 sites over 5 years. Following a 2-week baseline, participants will be randomized to one of two 12-week treatments: (1) a sleep restriction involving a fixed sleep-wake schedule, in which TIB is reduced 60 min below each participants baseline TIB; and (2) a control treatment involving no sleep restriction, but a fixed sleep schedule. Sleep will be assessed with actigraphy and a diary. Measures will include glucose tolerance, sleepiness, depressive symptoms, quality of life, cognitive performance, incidence of illness or accident, and inflammation.

Collaboration


Dive into the Natasha J. Williams's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge