Health disparities or inequities are defined by the World Health
Organization as “differences in health which are not only unnecessary and
avoidable but are considered unfair and unjust” (1). The root causes of health disparities are numerous and relate to
individual behaviors, provider knowledge and attitudes, organization of the healthcare
system, and societal and cultural values. Health disparities exist in the United States
(2), and a large proportion of the variance
in these disparities is explained by the differential exposure to the following four
modifiable risk factors: smoking, high blood pressure, excessive body fat, and high
blood sugar concentrations (2). These risk
factors have previously been linked to increasing risk for cardiometabolic disorders,
making them ideal targetable areas of focus. Health disparities have been reported among
various racial and ethnic groups (3). Recent
studies have identified “sleep disparities” in the United States
population, especially among individuals from minority groups and socioeconomically
disadvantaged backgrounds, reporting long and short sleep and/or worse sleep quality
(4). Sleep health is a well-known and
important risk factor in cardiometabolic disease risk. Evidence suggests these
disparities in sleep contribute to disparities observed in health conditions such as
hypertension, obesity, and diabetes (5),
including in ethnically diverse populations (6).
The Hispanic/Latinx community is one such group in which health and sleep disparities
exist.The Hispanic/Latinx population now represents the largest minority group in the United
States (7), but identification of risk factors
that lead to poor health in this population has received very little attention.
Identifying these risk factors is important, as Hispanics/Latinx(s) have an elevated
risk for such potential health consequences of impaired sleep, such as obesity,
diabetes, and hypertension (8). Understanding
risk factors may help better understand the pathways linking sleep and cardiometabolic
risk and help tailor treatment, as there is insufficient information currently available
in this domain.This importance was highlighted in this issue of the Journal by Li and
colleagues (pp. 356–365) (9), providing
new insights into the relations connecting sleep and several cardiometabolic risk
factors. This study examined data from 16,415 (mean age, 41.1; SD, 14.9) Latinx(s) from
HCHS/SOL (Hispanic Community Health Study/Study of Latinos). The authors measured sleep
health using standardized questions and a validated type-3 home sleep apnea test.
Sleep-disordered breathing (SDB) was defined using the AHI3 (apnea–hypopnea index
calculated based on the average number of all apneas plus hypopneas associated with a 3%
desaturation per hour of sleep) ≥5 events per hour. Insomnia was evaluated using
the Women’s Health Initiative Insomnia Rating Scale and was defined as a score of
9 or greater, correlating to high risk of insomnia disorder.The results show that SDB was associated with a 54% increased adjusted likelihood of
incident hypertension and a 33% increased likelihood of incident diabetes, with no sex
differences. Insomnia was associated with a 37% increased likelihood of incident
hypertension, with greater association for men. Taken together, both insomnia and SDB
represented unique risk factors for cardiometabolic risk in this population. This is
important because sleep disorders are underrepresented, undertreated, and potentially
modifiable targets for cardiometabolic disease prevention and reduction among the U.S.
Hispanic/Latinx population.There are a few important implications of these findings. First, insomnia is often
overlooked as a cardiometabolic risk factor, but in this study, it was shown to increase
the likelihood of development of hypertension (though not diabetes). Also, although many
population-based studies show that Hispanic/Latinx adults report fewer sleep complaints
in general (10, 11), this study shows that the relationship between sleep
disorder symptoms and cardiometabolic risk factors is still an important consideration
for this group. Several population-based studies have identified an association between
insomnia and hypertension (12) and diabetes
(13), though this study was unique in its
application to this often understudied group.This study also highlights the importance of better understanding the pathways linking
sleep and cardiometabolic disorders across racial/ethnic groups, especially in this
population. In particular, understanding what cultural or behavioral factors may
exacerbate or protect against the potential effects of inadequate sleep will be
important for the development of public health interventions. Mechanistic pathways may
also differ. For example, previous studies have shown that the relationship between
sleep and inflammation differs between Hispanics/Latinx(s) and other groups (14), as does the relationship between sleep and
hypertension and hyperlipidemia (15).
Understanding why physiologic associations may be different in these groups is
imperative to better addressing the observed health disparities. Further studies should
not only focus on these areas but discuss alternative treatment options that are
modified to specifically mitigate these risks.The study by Li and colleagues also suggests the need for developing and implementing
tailored interventions to address the identified risk. There is a growing body of
literature that places sleep in a social–environmental context, in which factors
such as race/ethnicity, socioeconomics, home and family, school and work, neighborhood,
culture, and other factors play a role. Leveraging this sociocultural role of sleep may
aid in the development of tailored interventions, and future work should include
community-engaged, community-derived, and community-based participatory strategies for
translating the findings around sleep-related cardiometabolic risk to interventions for
the members of these communities.Many people, especially racial/ethnic minorities and the socioeconomically disadvantaged,
have difficulty achieving healthy sleep (11).
The study by Li and colleagues demonstrates that among U.S. Hispanics/Latinx(s), SDB and
insomnia are important cardiometabolic risk factors. Clinicians should be aware of the
importance of sleep and consider including sleep assessments as part of lifestyle and
preventative care assessments. Practices should be developed that recognize that
racial/ethnic minorities (including Hispanics/Latinx[s]) may be more likely to present
with high-risk sleep characteristics, even if sleep complaints are not always reported.
A patient’s environmental, social, and structural context should be considered,
as these factors may present challenges in achieving healthy sleep. As information
regarding pathways linking sleep and cardiometabolic disorders are identified, they
should be included in evaluations of patients.
Authors: Michael A Grandner; Megan E Ruiter Petrov; Pinyo Rattanaumpawan; Nicholas Jackson; Alec Platt; Nirav P Patel Journal: J Clin Sleep Med Date: 2013-09-15 Impact factor: 4.062
Authors: Michael A Grandner; Subhajit Chakravorty; Michael L Perlis; Linden Oliver; Indira Gurubhagavatula Journal: Sleep Med Date: 2013-10-28 Impact factor: 3.492
Authors: Michael A Grandner; Natasha J Williams; Kristen L Knutson; Dorothy Roberts; Girardin Jean-Louis Journal: Sleep Med Date: 2015-02-28 Impact factor: 3.492
Authors: Goodarz Danaei; Eric B Rimm; Shefali Oza; Sandeep C Kulkarni; Christopher J L Murray; Majid Ezzati Journal: PLoS Med Date: 2010-03-23 Impact factor: 11.069
Authors: Martha L Daviglus; Gregory A Talavera; M Larissa Avilés-Santa; Matthew Allison; Jianwen Cai; Michael H Criqui; Marc Gellman; Aida L Giachello; Natalia Gouskova; Robert C Kaplan; Lisa LaVange; Frank Penedo; Krista Perreira; Amber Pirzada; Neil Schneiderman; Sylvia Wassertheil-Smoller; Paul D Sorlie; Jeremiah Stamler Journal: JAMA Date: 2012-11-07 Impact factor: 56.272
Authors: Alexandros N Vgontzas; Duanping Liao; Edward O Bixler; George P Chrousos; Antonio Vela-Bueno Journal: Sleep Date: 2009-04 Impact factor: 5.849
Authors: Alexandros N Vgontzas; Duanping Liao; Slobodanka Pejovic; Susan Calhoun; Maria Karataraki; Edward O Bixler Journal: Diabetes Care Date: 2009-07-29 Impact factor: 19.112
Authors: Chanel Zhan; Gabriela A Nagy; Jade Q Wu; Brian McCabe; Allison M Stafford; Rosa M Gonzalez-Guarda Journal: J Immigr Minor Health Date: 2022-03-15