Assessment for Social Support
Lesbian, gay, & bisexual older adults: linking internal minority stressors, chronic health
conditions, and depression
Charles P. Hoy-Ellisa* and Karen I. Fredriksen-Goldsenb
aCollege of Social Work, University of Utah, Salt Lake City, UT, USA; bSchool of Social Work, University of Washington, Seattle, WA, USA
(Received 30 January 2016; accepted 15 March 2016)
Objectives: This study aims to: (1) test whether the minority stressors disclosure of sexual orientation; and (2) internalized heterosexism are predictive of chronic physical health conditions; and (3) depression; (4) to test direct and indirect relationships between these variables; and (5) whether chronic physical health conditions are further predictive of depression, net of disclosure of sexual orientation and internalized heterosexism. Methods: Secondary analysis of national, community-based surveys of 2349 lesbian, gay, and bisexual adults aged 50 and older residing in the US utilizing structural equation modeling. Results: Congruent with minority stress theory, disclosure of sexual orientation is indirectly associated with chronic physical health conditions and depression, mediated by internalized heterosexism with a suppressor effect. Internalized heterosexism is directly associated with chronic physical health conditions and depression, and further indirectly associated with depression mediated by chronic physical health conditions. Finally, chronic physical health conditions have an additional direct relationship with depression, net of other predictor variables. Conclusion: Minority stressors and chronic physical health conditions independently and collectively predict depression, possibly a synergistic effect. Implications for depression among older sexual minority adults are discussed.
Keywords: Sexual orientation; depression; older adults; minority stress; structural equation modeling
Introduction
The World Health Organization (WHO) has characterized
depression as a serious public health issue (World Health
Organization, 2012). Current annual health care expendi-
tures for the treatment of depression in the US alone
exceed $22 billion (Soni, 2012). In addition, the annual
per capita health care costs for older Americans with
depression exceed $20,000, which is more than double the
cost of those who do not (Un€utzer et al., 2009). Untreated depression typically becomes chronic in nature (Chap-
man, Perry, & Strine, 2005; Fiske, Wetherell, & Gatz,
2009), negatively impacting quality of life (Chapman
et al., 2005; Fiske et al., 2009), the treatment of co-occur-
ring chronic physical health conditions (Centers for Dis-
ease Control and Prevention and National Association of
Chronic Disease Directors, 2009), and potentially decreas-
ing life expectancy by 5–10 years (Chapman et al., 2005).
Depression is recognized as the most common, treatable
chronic mental health condition among older adults (Cen-
ters for Disease Control and Prevention, 2015). Popula-
tion-based prevalence estimates of depression among
Americans aged 50 and older in the general population
are typically reported to range from 1% to 5% (Centers
for Disease Control and Prevention, 2015). National Sur-
vey on Drug Use and Health (NSDUH) and Behavioral
Risk Factor Surveillance System (BRFSS) data indicate
prevalences among adults aged 50 and older ranging from
about 6% (Substance Abuse and Mental Health Services
Administration, 2013) to about 8%, respectively (Centers
for Disease Control and Prevention and National Associa-
tion of Chronic Disease Directors, 2009). Clinically sig-
nificant depressive symptomatology among older
community-dwelling adults may be as high as 15% (Fiske
et al., 2009).
Census projections suggest that the number of Ameri-
cans aged 50 and older will grow to more than 130 million
by 2030, and will approach 164 million by 2060 (U.S.
Census Bureau, 2015). Current national estimates suggest
that 2.6–4.9 million of these will self-identify as lesbian,
gay, and bisexual (LGB) (Gates & Newport, 2012). Our
knowledge of the health and well-being of LGB older
adults remains a significant shortcoming in health dispar-
ities research (Centers for Disease Control and Preven-
tion, 2011; Fredriksen-Goldsen, Emlet, et al., 2013). Yet,
LGB Americans aged 50 and older have been found to be
a health disparate population, evidencing higher rates of
poor mental health as well as other physical health prob-
lems than heterosexual older adults (Fredriksen-Goldsen,
Kim, Barkan, Muraco, & Hoy-Ellis, 2013; Wallace,
Cochran, Durazo, & Ford, 2011). In large community-
based samples, 29% of LGB older adults (Fredriksen-
Goldsen, Emlet, et al., 2013) and 47% of transgender
older adults (Fredriksen-Goldsen, Cook-Daniels, et al.,
2013) have been found to have clinically significant
depressive symptomatology. While poor mental health
outcomes among lesbian, gay, bisexual, or transgender
*Corresponding author. Email: Charles.Hoy-Ellis@socwk.utah.edu
� 2016 Informa UK Limited, trading as Taylor & Francis Group
Aging & Mental Health, 2016
Vol. 20, No. 11, 1119–1130, http://dx.doi.org/10.1080/13607863.2016.1168362
(LGBT) older adults are being recognized, the underlying
processes tend to be less understood (Institute of Medi-
cine, 2011). A major goal of the Healthy People 2020 ini-
tiative is to improve the health and well-being of LGB
communities, including reducing the incidence of major
depression among LGB adults as a targeted objective
(U.S. Department of Health and Human Services, 2013).
Meeting this objective will require a better understanding
of depression among LGB older adults so that culturally
responsive intervention and prevention efforts can be
developed and implemented.
Depression is not a part of the normative aging pro-
cess. According to the diathesis-stress perspective, depres-
sion due to genetic diathesis is more common among
younger adults; disruptions resulting from significant life
events and cumulative social, psychological, and biologi-
cal stressors are more likely to result in depression among
older adults (Blazer & Hybels, 2005; Fiske et al., 2009;
Zuckerman, 1999). General stressors that increase the risk
for depression in older adulthood are common to both
LGB and heterosexual older adults. These include finan-
cial challenges, decreased social interactions, social isola-
tion, bereavement, and other negative life events (Fiske
et al., 2009). Numerous chronic medical conditions have
been linked to depression among older adults (Blazer,
2003; Chapman et al., 2005; Fiske et al., 2009; Yang,
2007). Adults in the general population living with
chronic health conditions, particularly those aged 40–
59 years old have a significantly increased risk for devel-
oping depression (Pratt & Brody, 2008). Just under 80%
of Americans aged 50 and older have at least one chronic
health condition (AARP Public Policy Institute, 2010;
Centers for Disease Control and Prevention, 2013).
Chronic health conditions most often associated with
depression include asthma, arthritis, cardiovascular dis-
ease (CVD), diabetes, and obesity (Chapman et al., 2005;
Fiske et al., 2009). Emerging evidence indicates that com-
pared to their heterosexual counterparts, LGB adults aged
50 and older are also at heightened risk for a variety of
chronic physical health conditions, including CVD, obe-
sity, and asthma among sexual minority women (Fredrik-
sen-Goldsen, Kim, et al., 2013), and hypertension and
diabetes among sexual minority men (Wallace et al.,
2011). These conditions are among the most prevalent
associated with increased risk of developing or exacerbat-
ing the course of depressive disorders (Chapman et al.,
2005; Fiske et al., 2009).
LGB older adults also experience additional stressors
unique to their sexual orientation, which stem from living
in a heterosexist society and are theorized to contribute to
their ‘excess’ rates of depression (Centers for Disease
Control and Prevention, 2013). Heterosexism can be
described as the collective constellation of societal preju-
dice, attitudes, stereotypes, and beliefs that cast heterosex-
uality as normative and any other form of human sexual
identity, attraction, and/or behavior as abnormal (Herek &
Garnets, 2007). The minority stress model identifies pro-
cesses by which heterosexist-related minority stressors
negatively impact the mental health of LGB people
(Meyer, 2003). Internals of minority stressors, internal-
ized heterosexism and concealment of sexual orientation,
are the most chronic and inescapable (Meyer, 2003) and,
thus, may play a crucial role in heightened risk for depres-
sion among older LGB adults. Internalized heterosexism
refers to early and ongoing socialization processes by
which people internalize society’s prejudicial attitudes,
stereotypes, and beliefs regarding non-heterosexuality.
Consciously and unconsciously, LGB people may apply
such internalized representations to themselves and to
other LGB people (Meyer, 2003). Internalized heterosex-
ism has been associated with increased risk for depression
among LGB older adults (Fredriksen-Goldsen, Emlet,
et al., 2013).
Self-concealment of personal information and secrets
of a distressing nature have been consistently linked to
physiological symptoms in the general population (Uysal,
Lin, & Knee, 2010). Concealing one’s non-heterosexual
orientation may provide a degree of short-term protection
by making oneself a less visible target for victimization,
but continued concealment over time is psychologically
stressful (Meyer, 2003), negatively impacting neuroendo-
crine functioning (Meyer, 2003) associated with the
development of chronic health conditions (Cole, Kemeny,
Taylor, & Visscher, 1996). A sample of HIV-negative gay
men in the Natural History of AIDS Psychosocial Study
who concealed their sexual orientation developed cancer
at significantly higher rates relative to gay men who dis-
closed their sexual orientation (Cole et al., 1996). Recent
epigenetic research has identified chronic stress as playing
a role in the expression of the ATF3 gene in breast cancer
metastasis (Wolford et al., 2013). Alternately, disclosure
of one’s LGB sexual orientation is posited to counteract
the negative impacts of chronic minority stress by provid-
ing individual and group-level coping resources (Meyer,
2003). Research findings regarding the role of conceal-
ment and disclosure of sexual orientation and risk of
depression among older LGB adults have been mixed.
Data from the Urban Men’s Health Study (UMHS) indi-
cated that disclosure is associated with greater risk for
depression among gay men aged 50–59, but not for those
aged 60 and older (Rawls, 2004). Another study found
that disclosure of sexual orientation among older LGB
adults is associated with lower levels of depression, but
that relationship is indirectly working through internalized
heterosexism (Hoy-Ellis, 2015). Yet, a different study
found no relationship between concealment or disclosure
of sexual orientation and depression, when controlling for
demographic characteristics and other risk and protective
factors (Fredriksen-Goldsen, Emlet, et al., 2013).
The significance of the current study is that it exam-
ines the relative roles of the most internal of minority
stressors, internalized heterosexism and concealment or
disclosure of sexual orientation, and chronic health condi-
tions in depression among older LGB adults. It also seeks
to explore if disparities in certain chronic physical health
conditions identified in this population may contribute to
disparities in poor mental health. Specifically, this study
aims to test the following hypothesized relationships:
(1) Disclosure of sexual orientation is directly and
inversely related to internalized heterosexism,
chronic health conditions, and depression.
1120 C. P. Hoy-Ellis and K. I. Fredriksen-Goldsen
(2) Disclosure of sexual orientation is inversely and
indirectly associated with chronic health condi-
tions and depression through internalized
heterosexism.
(3) Internalized heterosexism is directly and posi-
tively related to chronic physical health condi-
tions and depression.
(4) Internalized heterosexism is positively and indi-
rectly associated with depression via chronic
physical health conditions.
(5) Chronic physical health conditions have an addi-
tional positive relationship with depression among
LGB older adults, net of disclosure of sexual ori-
entation and internalized heterosexism (see
Figure 1 for model to be tested).
Methods
Sample and procedure
This study is a secondary analysis of data from the
National Health, Aging, & Sexuality Study: Caring &
Aging with Pride Over Time (NHAS), the first of its kind
national study to investigate the health and well-being of
LGB older adults as a population distinct from both their
younger LGB peers and older heterosexual adult counter-
parts. The Institute for Multigenerational Health at the
University of Washington, Seattle, partnered with 11
agencies across the US, which provide programming and
services specific to LGB older adults. A survey was devel-
oped and distributed via agency mailing lists from June
through November of 2010. The survey included ques-
tions to assess standard sociodemographic information, as
well as sexual orientation and gender identity. Also
included in the survey were items particularly relevant to
LGB experience, such as disclosure of sexual orientation
or gender identity, and measures of physical and mental
health. Inclusion criteria for the NHAS required that (1)
potential participants be 50 years old or older at the time
of the survey distribution and (2) self-identify as LGBT.
Along with standard informed consent and anonymity
protocols, participants were offered an opportunity to
enter a raffle to win one of five $500 gift cards for their
time, winners to be chosen randomly. The University of
Washington Institutional Review Board approved all
study materials, procedures, and safeguards for the protec-
tion of human participants; many partnering agencies con-
ducted their own internal reviews. The final dataset was
comprised of surveys completed by 2560 LGBT adults
aged 50–95 years old. For a fuller description of the
NHAS, see Fredriksen-Goldsen, Kim and associates
(2013).
The sample for the current study (n D 2349) consisted of 829 self-identified bisexual and lesbian women (35%)
and 1520 bisexual and gay men. Transgender participants
were excluded and studied elsewhere. Sample participants
ranged in age from 50 to 95 years old (M D 66.9; SD D 9.0), most identified as lesbian or gay (95%), and were
Figure 1. Structural equation model to be tested. Note: Model showing direct and indirect relationships between latent variables concealment and internalized heterosexism; and observed variables chronic health conditions and depression.
Aging & Mental Health 1121
predominantly non-Hispanic white (87.0%). Although the
majority (92%) had at least some college education, about
half (52%) reported annual household incomes of
$49,999. See Table 1 for sample sociodemographic
characteristics.
Measures
Covariates income and education were controlled for, as
the robust associations between these variables and
chronic health conditions and depression have been
widely established (Marmot & Wilkinson, 2006; World
Health Organization, 2003). Age was also treated as a
covariate as it has been related to disclosure of sexual ori-
entation and internalized heterosexism (David & Knight,
2008). Annual household income was coded across six
categories: <$20,000; $20,000–$24,999; $25,000–
$34,999; $35,000–$49,999; $50,000–$74,999; and
$75,000 or more. Educational attainment was categorized
as: kindergarten or none; grade 9–11; grade 12 or GED
(General Educational Development Test, a certification
that is equivalent to a high school diploma); college of 1–
3 years; and college of 4 years or more. Age was calcu-
lated from reported year of birth.
A latent variable to assess the degree of disclosure of
the participants’ sexual orientation was constructed from
a modified version of the 12-item Outness Inventory
(Mohr & Fassinger, 2000), which assesses sexual orienta-
tion disclosure in three primary social domains. Partici-
pants indicated the likelihood that family members (e.g.
parent, sibling), communitymembers (e.g. neighbors, faith
community), and a best friend know or have known their
sexual orientation on a 4-point Likert scale (1 D definitely do not know through 4 D definitely do know). Factor anal- yses indicated that the three indicators (out to friend, fam-
ily, community) loaded well onto a single factor (.63–.91,
p < .001). Internal consistency was acceptable,
Cronbach’s a D .71. Higher scores indicate higher levels of disclosure of sexual orientation.
A separate latent variable with five indicators was
constructed to capture internalized heterosexism, utilizing
the Homosexual Self-Stigma subscale (Liu, Feng, & Rho-
des, 2009). Participants indicated their level of agreement
with five statements such as ‘I wish I weren’t lesbian, gay,
bisexual, or transgender’ coded on a 4-point Likert scale
(1 D strongly agree through 4 D strongly disagree). Fac- tor analyses indicated that all five items loaded well onto
a single latent factor (.48–.79, p < .001), with acceptable
internal consistency (Cronbach’s a D .79). Responses were then reverse-coded so that higher scores indicated
higher levels of internalized heterosexism.
Chronic health conditions were treated as an observed
variable based on participants’ endorsement (‘mark all
that apply’) of whether they had ever been told by a physi-
cian that they had any of the following nine chronic health
conditions identified in the literature as being associated
with depression: angina, arthritis, congestive heart fail-
ure, diabetes, heart attack, high cholesterol, hypertension,
osteoporosis, and stroke. A number of conditions were
summed, producing a range of 0–9, with higher numbers
indicating the presence of more chronic health conditions.
Depression was assessed via the Center for Epidemio-
logical Studies Depression Scale 10-item short form
(CESD-10) (Radloff, 1977), which has well-established
validity and reliability in screening for major depression
across populations (Grzywacz, Hovey, Seligman, Arcury,
& Quandt, 2006; Zhang et al., 2012), including among
community-dwelling older adults (Andresen, Malmgren,
Carter, & Patrick, 1994; Boey, 1999; Irwin, Artin, &
Oxman, 1999). Depression was treated as an observed
variable, making for a more parsimonious the model;
model fit decreases as the number of variables increases
(Kenny, 2014). The CESD-10 calls for participants to
indicate how many days during the past week (0 D <1 day, 1 D 1–2 days; 2 D 3–4 days; 3 D 5–7 days) they had felt or acted in certain ways; for example, ‘I felt
depressed,’ and ‘everything I did was an effort.’ Internal
consistency was good, Cronbach’s a D 0.88. On a range of 0–30, a score �10 is an indicator of depressive symp- toms that meet clinically significant levels (Andresen
et al., 1994; Zhang et al., 2012).
Statistical analyses
Structural equation modeling (SEM) using Stata v. 12 was
employed for all analyses. SEM is a confirmatory statisti-
cal technique useful for testing a priori theorized models
(Bollen, 1989). A sample variance–covariance matrix is
computed and compared to an estimated population vari-
ance–covariance matrix; if the difference between the two
matrices is close to zero, the model is considered to be a
good fit to the data (Bollen, 1989). In SEM, the
Table 1. Sample sociodemographic characteristics.
Variable (%) (n)
AgeM (SD) 66.9 (9.0) 2372
Gender
Women 35.4 840
Men 64.6 1531
Sexual orientation
Lesbian/gay 94.6 2217
Bisexual 5.4 124
Race/ethnicity
Hispanic/non-Hispanic, non-white 13.0 343
Non-Hispanic white 87.0 2198
Education
Grade 1–8 0.2 4
Grade 9–11 0.8 19
Grade 12 or GED 6.7 158
College 1–3 years 18.2 427
College 4 years or more 74.2 1744
Annual household income
<$20,000 18.2 399
$20,000–$24,999 8.3 186
$25,000–$34,999 11.7 269
$35,000–$49,999 14.3 329
$50,000–$74,999 17.0 396
$75,000 or more 30.6 721
1122 C. P. Hoy-Ellis and K. I. Fredriksen-Goldsen
measurement model provides information as to how well
indicators load onto latent variables (i.e. confirmatory fac-
tor analysis); the structural model provides information
on the relationships between variables. SEM has some
advantages over more traditional multiple regression tech-
niques. Standard regression models assume ‘perfect meas-
urement’ which produces biased estimates (Baron &
Kenny, 1986); SEM accounts for measurement error (Bol-
len, 1989), and is more sensitive to detecting suppressor
effects (Cheung & Lau, 2008) and mediation effects
(Iacobucci, Saldhana, & Deng, 2007). Total effects can be
decomposed into their direct and indirect components,
allowing inferences about mediation effects to be made
(Duncan, 1975). Because equations are estimated simulta-
neously, standard errors are smaller and more consistent
(Iacobucci et al., 2007).
In this study, the Maximum Likelihood estimator with
pairwise deletion was used for model-testing. The data
were not normally distributed, therefore, bootstrapping,
resampling with replacement (500 replications), was
employed to derive a sampling distribution for more pre-
cise standard errors and accurate confidence intervals (CI)
(Cheung & Lau, 2008). A Variance Inflation Factor (VIF)
was computed to assess for possible issues of multicolli-
nearity, which preliminary analyses indicated was not an
issue; VIF D 1.07, well below the acceptable upper bound of 10 (StataCorp, 2011). Hooper, Coughlan, and Mullen
(2008) recommend assessing an array of post-estimation
goodness-of-fit (GOF) statistics to examine model fit. The
model x2 is typically reported, yet, with very large sample
sizes (i.e. �200); this statistic will almost always be sig- nificant (Matsueda, 2012), requiring rejection of the null
hypothesis. However, a non-significant difference
between the sample and estimated population variance–
covariance matrices is indicative of a good model fit. Of
other test statistics endorsed by Hooper et al. (2008), the
Comparative Fit Index (CFI) is minimally affected by
sample size, thus, addressing the issue of model x2 signifi-
cance. It contrasts the null model against the sample
covariance matrix and calculates a statistic that ranges
from 0 to 1; a value >.90 suggests a good model fit.
Among the most revealing of fit statistics, the Root Mean
Square Error of Approximation (RMSEA) identifies the
closeness of fit between the population covariance matrix
and sample parameters; a value <.06 indicates a good fit
between the model and the data (Hooper et al., 2008). The
Standardized Root Mean Square Residual (SRMR) is a
measure of the difference between the standardized square
root residuals of the sample and hypothesized population
covariance matrices. While an SRMR < .08 is considered
adequate, a value<.05 suggests a better model fit (Hooper
et al., 2008). In addition, a CI close to zero implies that the
sample and hypothesized population covariance matrices
do not differ significantly.
Results
Overall, 29% of the sample (n D 666) reported clinical symptoms that met the threshold of major depression,
scoring �10 on the CESD-10 (M D 7.2, SD D 6.2). The
average level of disclosure, 3.5 on a scale of 1–4 (SD D .6) was relatively high, and the mean level of internalized
heterosexism, 1.5 on a scale of 1–4 (SD D .6) was rela- tively low. Participants had on average 1.9 chronic health
conditions (SD D 1.4). See Table 2 for sample summary statistics and distributions of chronic health conditions.
To further assess model fit, a Lagrange Multiplier Test
to detect omitted paths and provide estimates of change in
model fit was conducted. Adding omitted paths is method-
ologically sound, provided that such additions are consis-
tent with theory (StataCorp, 2011). Correlated error term
paths were added (not shown), which is theoretically
sound as indicators of observed measures are themselves
typically correlated (see Table 3 for correlation matrix).
The final fitted model is shown in Figure 2. With the
exception of the x2-statistic, post-estimation GOF test sta-
tistics separately and collectively suggest a very close fit
of the model to the data (see Table 4).
Factor loadings and path coefficients in Figure 2 are
standardized to facilitate interpretation of relationships
and effect sizes (Preacher & Kelley, 2011). Initial results
initially indicated that disclosure of sexual orientation did
not appear to have a significant association with either
depression (p D .089) or chronic health conditions (p D .679). However, decomposition of total effects into their
direct and indirect components (see Table 5) suggests that
the indirect effect of disclosure is significantly related to
both depression (p < .001) and chronic health conditions
(pD .030). Indirect effects may be significant even though direct and total effects are not, such as the case when the
indirect effect has an opposite sign, which may indicate
that the mediating variable (i.e. internalized heterosexism)
also acts as a suppressor, strengthening or weakening the
effect of the independent variable on the dependent vari-
able, thereby, obscuring the total effect (Rucker, Preacher,
Tormala, & Petty, 2011). Opposite signs of the indirect
coefficients are seen in Table 5. These relationships are in
line with minority stress theory in that disclosure of sexual
orientation decreases the stressful effects if internalized
heterosexism (Meyer, 2003), which in turn, would attenu-
ate the positive associations between internalized hetero-
sexism with depression and chronic health conditions.
Significant direct positive associations were found
between internalized heterosexism and both depression
Table 2. Sample summary statistics and distribution of chronic health conditions.
Variable Range M (SD) Chronic conditions (%) (n)
Disclose to friend 3.9 (0.6) Angina 3.9 92
Disclose to family 1–4 3.4 (0.8) Arthritis 33.8 802
Disclose to community 3.5 (0.7) Congestive heart failure
2.7 63
Disclosure overall 3.5 (0.6) Diabetes 13.7 324
Internalized heterosexism 1–4 1.5 (0.6) Heart attack 5.6 132
Chronic health conditions 0–9 1.9 (1.4) High cholesterol 43.3 1027
Depression (CESD) 0–30 7.2 (6.2) Hypertension 45.5 1079
CESD � 10 29.2% n D 666 Osteoporosis 10.2 243 Stroke 3.9 92
Aging & Mental Health 1123
and chronic health conditions, as well as an additional
indirect association with depression via chronic health
conditions; chronic health conditions have an additional
positive direct association with depression (see Table 5).
The cumulative direct, indirect, and total effects of con-
cealment of sexual orientation, internalized heterosexism,
and chronic health conditions indicate that these variables
account for just under 76% of the variance in depression.
Discussion
Emerging research suggests that LGB older adults have a
significantly greater risk for depression and several
chronic health conditions (Fredriksen-Goldsen, Kim,
et al., 2013; Valanis et al., 2000; Wallace et al., 2011).
Concealment of sexual orientation (Hoy-Ellis, 2015) and
internalized heterosexism may increase the risk for
Figure 2. Fitted structural equation model. Note: Showing direct and indirect relationships between latent variables concealment and internalized heterosexism; and observed varia- bles chronic health conditions and depression. Factor loadings and path coefficients are standardized. �p < .05. ��p < .01. ���p < .001.
Table 3. Correlations of observed measures.
Disclosure (D) Internalized heterosexism (IH)
Family Friend Community A B C D E Chronic CESD Age Income Education
D-family 1.00
D-friend .38 1.00
D-community .49 .45 1.00
IH-A ¡.18 ¡.11 ¡.23 1.00 IH-B ¡.11 ¡.06 ¡.09 .39 1.00 IH-C ¡.17 ¡.13 ¡.20 .71 .09 1.00 IH-D ¡.19 ¡.14 ¡.22 .60 .37 .59 1.00 IH-E ¡.13 ¡.08 ¡.14 .38 .26 .41 .53 1.00 Chronic ¡.08 ¡.04 ¡.05 .07 .04 .06 .08 .04 1.00 CESD ¡.04 ¡.06 ¡.05 .18 .09 .14 .20 .11 .18 1.00 Age ¡.31 ¡.12 ¡.16 .11 .02 .06 .11 .06 .22 ¡.02 1.00 Income .13 .10 .14 ¡.10 .02 ¡.05 ¡.13 ¡.07 ¡.17 ¡.31 ¡.17 1.00 Education .07 .10 .10 ¡.04 .04 ¡.01 ¡.07 ¡.05 ¡.12 ¡.16 ¡.07 .36 1.00
1124 C. P. Hoy-Ellis and K. I. Fredriksen-Goldsen
depression (Fredriksen-Goldsen, Emlet, et al., 2013; Hoy-
Ellis, 2015) among LGB older adults (Fredriksen-Gold-
sen, Emlet, et al., 2013). The results reported here suggest
that disparities in chronic health conditions documented
among LGB older adults may explain some of the dispar-
ity in their rates of depression, aligning with research in
the general older adult population linking chronic health
conditions with increased risk for depression (Blazer &
Hybels, 2005; Chapman et al., 2005; Fiske et al., 2009).
Findings also provide additional evidence that minority
stressors are cumulative in their effects on mental health
outcomes (Meyer, 2003), and that pathways of risk are
complex and may be obscured (Institute of Medicine,
2011). Disclosure of sexual orientation appears to be
related to lower levels of internalized heterosexism,
thereby, reducing the positive associations between both
internalized heterosexism and chronic health conditions
on depression. Internalized heterosexism and chronic
health conditions may have additional impacts on depres-
sion, net of disclosure of sexual orientation, suggesting
that social, psychological, and physical factors be consid-
ered in tandem when examining depression among LGB
older adults.
The finding that higher levels of disclosure of sexual
orientation are inversely related to internalized heterosex-
ism and indirectly with depression mediated by internal-
ized heterosexism is consistent with the minority stress
model. Long-term concealment of a significant aspect of
the self is psychologically costly (Meyer, 2003), which
can be attributed to potential negative consequences of
disclosure, shame, guilt, and distorted thinking that related
to internalized heterosexism (Pachankis, 2007). Through
disclosure of sexual orientation, important individual and
group-level coping processes are activated reducing levels
of internalized heterosexism (Meyer, 2003). When avail-
able, coping resources are deemed to be adequate to meet
perceived threat through secondary appraisals (Lazarus &
Folkman, 1984); the stress response and risk for depres-
sion are significantly diminished (Juster, McEwen, &
Lupien, 2010). Consistent with social comparison theory
(Hogg, Terry, & White, 1995) at the individual level, dis-
closure diminishes feelings of shame and guilt (Pachankis,
2007), and through subsequent positive comparisons of
the self with other LGBs, replacing hitherto negative com-
parisons with heterosexuals, distorted cognitions regard-
ing the self are ameliorated (Meyer, 2003).
The indirect relationship between concealment and
chronic health conditions, mediated via internalized het-
erosexism and the additional direct effect of internalized
heterosexism on both chronic health conditions and
depression, is consistent with social stress theory broadly,
and the minority stress framework in particular. Decades
of social stress research have demonstrated that chronic
psychosocial stressors ‘gets under the skin’ to become
embodied and consequently manifest in chronic disease
(Ferraro & Shippee, 2009; Krieger, 1999), such as CVD,
diabetes (Juster et al., 2010), hypertension, and asthma
(Katon, 2011), particularly among socially marginalized
groups (Aneshensel, 2009). The internalization of stigma
associated with marginalized social status has been char-
acterized as a chronic stressor in and of itself (Hatzen-
buehler, Phelan, & Link, 2013). The hypothalamic-
pituitary-adrenal (HPA) axis is central to neuroendocrine
processes that are activated in response to stressors (Juster
et al., 2010; McEwen, 1998). Cortisol and adrenaline are
primary hormones released in this response process.
When stressors are acute and relatively sporadic, the
release of these hormones may enhance survival. When
stressors are chronic, repeated over-activation of the
Table 4. Model goodness-of-fit statistics.
Statistical test Statistical value
Model x2 (df) 143.64 (42)
Root Mean Square Error of Approximation (RMSEA)
0.035
Confidence interval (CI) (90%) [.029, .042]
Comparative Fit Index (CFI) 0.981
Standardized Root Mean Square Residual (SRMR)
0.023
Coefficient of determination (CD) (model R2) 0.757
Table 5. Decomposition of total, direct, and indirect effects.
Depression
b� se p > z b� se p > z b� se p > z Direct Indirect Total
Disclosure .013 .326 .683 ¡.064 .168 <.001 ¡.051 .309 .089 Internalized heterosexism .186 .418 <.001 .009 .050 .022 .195 .424 <.001
Chronic health conditions .143 .103 <.001 (No path) .143 .103 <.001
Internalized heterosexism
Disclosure ¡.354 .048 <.001 (No path) ¡.354 .048 <.001
Chronic health conditions
Disclosure .032 .064 .249 ¡.021 .023 .030 .011 .060 .679 Internalized heterosexism .060 .079 .022 (No path) .060 .079 .022
Note: b� D Standardized coefficient; se D bootstrapped standard error.
Aging & Mental Health 1125
HPA-axis results in allostatic load (AL) (Juster et al.,
2010; McEwen, 1998). Among other negative physiologi-
cal effects, AL has been linked to metabolic dysfunctions
such as hyperlipidemia and insulin resistance, which are
associated with diabetes, hypertension, and CVD (Juster
et al., 2010; McEwen, 1998). Regions of the brain
involved in threat appraisal processes are also negatively
impacted by AL, resulting in decreased perceived coping
resources and increased risk for depression (McEwen,
2006).
Chronic health conditions also have an additional
direct association with depression, net of all other rela-
tionships. Having chronic health conditions increases the
risk for developing depression or exacerbating existent
depression (Chapman et al., 2005; Katon, 2011; Wolko-
witz, Reus, & Mellon, 2011). There is also a direct rela-
tionship between increasing numbers of chronic health
conditions and increased risk of developing or worsening
depression (Chapman et al., 2005). It is, thus, plausible
that the heightened risk of chronic health conditions iden-
tified among LGB older adults (Fredriksen-Goldsen, Kim,
et al., 2013; Wallace et al., 2011) plays an important role
in the disparately high rates of depression documented in
this population. The relationship between chronic health
conditions and depression is also consistent with the
broader social stress literature. LGB older adults are mar-
ginalized both by their sexual orientation and their age
(Fredriksen-Goldsen, Hoy-Ellis, Goldsen, Emlet, &
Hooyman, 2014), resulting in social exclusion and lower
social standing. Findings from the Whitehall studies have
advanced our understanding of the relationship between
lower social standing, chronic health conditions, and poor
mental health outcomes by showing that the underlying
mechanism of risk is decreased control over important
aspects of the social environment that accompanies lower
social standing (Marmot et al., 1991; Marmot & Wilkin-
son, 2006). The presence of chronic health can also limit
control over key aspects of one’s life (Blazer, 2003;
Katon, 2011).
Implications
There is a dearth of research that attends to midlife and
older LGB adults as a population distinct from both mid-
life and older heterosexual adults, and from younger adult
and adolescent sexual minorities. The little research that
has made such comparisons indicates that there are impor-
tant differences between these respective groups (Fredrik-
sen-Goldsen, Kim, et al., 2013; Kertzner, Meyer, Frost, &
Stirratt, 2009; Wallace et al., 2011). Today’s LGB older
adults are more likely to conceal their sexual orientation
than their younger LGB counterparts (Floyd & Bakeman,
2006). Within-group differences by age are also beginning
to emerge. For example, LGB adults aged 50–64 years old
report higher rates of discrimination and victimization
than their counterparts aged 65 and older, yet, the latter
age group evidences higher levels of internalized hetero-
sexism and is more likely to conceal their sexual orienta-
tion than the former (Fredriksen-Goldsen, Kim, Shiu,
Goldsen, & Emlet, 2014). Fearing discrimination by staff,
and harassment and isolation from other clients, even
LGB older adults who are open about their sexual orienta-
tion believe that they will need to conceal their identity in
order to access mainstream aging services – at the very
time when advancing age increases the likelihood of need-
ing such services (National Senior Citizens Law Center,
2011). Yet, these findings suggest that to do so, may place
LGB older adults at increased risk for depression.
This study makes a significant contribution to our
knowledge regarding the health and well-being of older
LGB adults by identifying how minority stress risk factors
and chronic health conditions are associated with each
other and with depression. Identifying that chronic health
conditions play a role in the minority stress process may
enhance our understanding of why rates of depression
remain alarmingly high as LGB individuals get older (Fre-
driksen-Goldsen, Kim, et al., 2013; Wallace et al., 2011),
while rates of depression decline noticeably in the general
population as it ages (Blanchflower & Oswald, 2008;
Blazer, 2003; Yang, 2007). Furthermore, results may also
contribute to clarifying the theoretical relationship
between internal minority stressors of concealing LGB
sexual orientation and internalized heterosexism, and
depression. Identifying and understanding the complex
interactions of minority stress processes as they relate to
health will be central to developing culturally sensitive
and effective interventions for LGB older adults living
with depression.
There is evidence that the relationship between
chronic health conditions and depression is recursive
(Chapman et al., 2005; Katon, 2011; Pinquart & Sorenson,
2007). Many chronic health conditions that begin to mani-
fest around the age of 50 may be rooted in chronic stress
that begins in earlier life experience (Kuzawa & Sweet,
2009; Murgatroyd & Spengler, 2011; Seeman, Singer,
Ryff, Dienberg Love, & Levy-Storms, 2002; Wolkowitz
et al., 2011). The corrosive effects of internalized hetero-
sexism that surfaces earlier in life when one begins to
realize a non-heterosexual orientation would fall squarely
in the category of ‘chronic stress that begins in earlier life
experience.’ The same array of complex neurobiological
patterns found between chronic social stress and HPA-
axis dysregulation and AL is found in the relationship
between chronic health conditions and depression (Chap-
man et al., 2005; Katon, 2011; Wolkowitz et al., 2011).
Primary and secondary appraisals of threat and available
coping resources are mediated by the brain (Lazarus &
Folkman, 1984; McEwen, 1998). The ongoing dilemma
of whether, when, where, how, and under what circum-
stances one conceals or discloses sexual orientation, cou-
pled with attempting to gauge potential consequences is a
primary appraisal process. If the individual chooses to
continue concealing her or his sexual orientation, then
concealment itself may be an additional chronic stressor
(Meyer, 2003). On the other hand, disclosure may over
time provide additional coping resources, reduce levels of
internalized heterosexism, and buffer the impact of stress
processes on health. Still, it is possible that those with
depression are more likely to report having been diag-
nosed with chronic health conditions. Longitudinal
1126 C. P. Hoy-Ellis and K. I. Fredriksen-Goldsen
research will be needed to clarify this relationship among
LGB older adults.
This study has also practice implications for address-
ing depression related to sexual orientation among LGB
older adults. Individual appraisals of stressors are central
to social stress processes (Pearlin, Mullan, Semple, &
Skaff, 1990). Subjective appraisals of stressors are more
strongly related to poor health outcomes, including
depression (Mittelman, Roth, Haley, & Zarit, 2004) than
objective stressors (Zarit, Todd, & Zarit, 1986). Accurate
assessment is foundational to effective treatment of
depression among older adults (Zarit & Zarit, 2007).
Therapeutic interventions to address the damaging effects
of internalized heterosexism have typically focused on
supporting the process of disclosure (Herek & Garnets,
2007). While such an approach can positively influence
the stress appraisal process, it also runs the risk of blaming
the individual for their poor mental health (Meyer, 2003).
On the other hand, if the social environment is less threat-
ening, it is likely to be appraised as less threatening,
which would benefit LGB older adults with depression
who do not have access to LGB-affirmative therapy.
Effectively addressing depression among LGB older
adults that is related to factors associated with sexual ori-
entation goes beyond intervening with current depression;
it also requires prevention efforts. More than two decades
ago, Albee and Ryan-Finn (1993) proposed that the occur-
rence of mental distress stemming from societal oppres-
sion can be described as a function of elements in the
social environment that promote marginalization divided
by the capacity of individuals and groups to resist margin-
alization. Taking such a social justice approach to primary
prevention requires empowering LGB older adults to
develop and strengthen their capacity to resist societal het-
erosexism, and that researchers identify and work toward
dismantling heterosexist social structures and institutions
(Kenny & Hage, 2009; Matthews & Adams, 2009). Such
an approach would serve to ameliorate existent depression
among today’s LGB older adults, and contribute to pre-
venting the development of depression among the next
generation of LGB older adults.
Limitations
In addition to its cross-sectional design, this study has
other limitations. Surveys were distributed via agency
mailing lists; participants who responded may differ in
important ways from those who did not. For example,
LGB older adults with higher levels of internalized het-
erosexism may be less likely to participate in research.
Similarly, LGB older adults who are not connected with
these service agencies may differ in significant ways from
those who are, for example, differing levels of conceal-
ment and disclosure. The ways in which individuals came
to be on agency mailing lists may also be an issue, as the
majority of respondents in this sample (70.6%) were not
utilizing services at the time that surveys were distributed.
While there is representation across the country, the find-
ings reported here cannot be generalized. Most partici-
pants were concentrated on the West Coast, Eastern
Seaboard, and parts of the Central US in major metropoli-
tan areas. Urban-dwelling LGB older adults likely have
experiences that vary from their rural-dwelling counter-
parts. These limitations may have skewed findings. It is
possible that LGB older adults who are connected with
agencies may differ on both mental and physical health
measures, which if true, likely biases these results.
The psychometric properties of the CESD-10 are well
established; measures to assess internalized heterosexism
and concealment/disclosure are less so. The Outness
Inventory (Mohr & Fassinger, 2000) requires subjective
interpretations of other likely perceptions, rather than
whether participants have actively or passively disclosed
or concealed their sexual orientation. The adapted version
of the Homosexuality Stigma Scale (Liu et al., 2009) may
not differentiate well between current and previous levels
of internalized heterosexism. For example, ‘I have tried
not to be LGB’ can refer to previous decades or current
experience.
Nonetheless, this study has valuable strengths. It is
one of the few to specifically examine LGB older adults
as a distinct population, and to apply the minority stress
framework to this population. In addition to providing
support for the minority stress model in general, it also
suggests that internal minority stressors may play a role
in physical as well as mental health outcomes (e.g.
depression), and that it is important to attend to both.
Through the use of SEM, this study provides further
evidence that may help to clarify the relationships
between disclosure of sexual orientation, internalized
heterosexism, chronic health conditions, and depression,
particularly the role of internalized heterosexism as
mediator suppressor of disclosure in both physical and
mental health.
Conclusion
We must begin to think in terms of health equity and
move toward targeting interventions upstream at commu-
nity and policy levels. Health equity means that every per-
son, regardless of social characteristics (including sexual
orientation), has a right to the best possible health, which
necessitates that any barriers to health that marginalized
groups experience must be addressed (Braveman & Grus-
kin, 2003). Health disparities are the gauge by which
progress toward health equity can be assessed; for LGB
older adults to attain mental health equity in the form of
resolving disparately high rates of depression, we must
attend to the unique barriers that they experience (Fredrik-
sen-Goldsen et al., 2014). Both the perceived and still all
too often real need to conceal an LGB identity – it is still
legal to discriminate based on sexual orientation in the
majority of states (Human Rights Campaign, 2015) – and
internalized heterosexism are barriers to LGB older
adults’ mental health equity. Recognizing that these bar-
riers are ultimately rooted in societal heterosexism
requires that we must also calibrate interventions at com-
munity and policy levels to address macro-level hetero-
sexism that fosters internalized heterosexism and the
perceived need to conceal one’s sexual orientation, which
Aging & Mental Health 1127
eventually manifests downstream in disparately high rates
depression.
Acknowledgments
Some research reported in this publication was supported in part by grants from the National Institute on Aging of the National Institutes of Health under Award Numbers R01AG026526 and 2R01AG026526-03A1 (Fredriksen-Goldsen, PI). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health, National Institute of Aging, the University of Utah, or the Uni- versity of Washington.
Disclosure statement
No potential conflict of interest was reported by the authors.
Funding
National Institute on Aging of the National Institutes of Health [award number R01AG026526], [award number 2R01AG026526-03A1].
References
AARP Public Policy Institute. (2010). Chronic care: A call to action for health reform. Retrieved from http://assets.aarp. org/rgcenter/health/beyond_50_hcr.pdf
Albee, G.W., & Ryan-Finn, K.D. (1993). An overview of pri- mary prevention. Journal of Counseling and Development, 72, 115–123.
Andresen, E.M., Malmgren, J.A., Carter, W.B., & Patrick, D.L. (1994). Screening for depression in well older adults: Evalu- ation of a short form of the CES-D (Center for Epidemio- logic Studies Depression Scale). American Journal of Preventive Medicine, 10(2), 77–84.
Aneshensel, C.S. (2009). Toward explaining mental health dis- parities. Journal of Health and Social Behavior, 50(4), 377– 394.
Baron, R., & Kenny, D. (1986). The moderator–mediator vari- able distinction in social psychological research: Concep- tual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. doi:10.1037/0022-3514.51.6.1173
Blanchflower, D.G., & Oswald, A.J. (2008). Is well-being U- shaped over the life cycle? Social Science & Medicine, 66 (8), 1733–1749. doi:10.1016/j.socscimed.2008.01.030
Blazer, D.G. (2003). Depression in late life: Review and com- mentary. Journals of Gerontology Series A: Biological Sci- ences and Medical Sciences, 58(3), 249–265.
Blazer, D.G., & Hybels, C.F. (2005). Origins of depression in later life. Psychological Medicine, 35(9), 1241–1252. doi:10.1017/S0033291705004411
Boey, K.W. (1999). Cross-validation of a short form of the CES- D in Chinese elderly. International Journal of Geriatric Psy- chiatry, 14(8), 608–617.
Bollen, K.A. (1989). Structural equations with latent variables. New York, NY: Wiley.
Braveman, P., & Gruskin, S. (2003). Theory and methods: Defin- ing equity in health. Journal of Epidemiology and Commu- nity Health, 57, 254–258. doi:10.1136/jech.57.4.254
Centers for Disease Control and Prevention. (2011). CDC Health disparities and inequalities report – United States, 2011. MMWR 2011, 60(Suppl), 1–116.
Centers for Disease Control and Prevention. (2013). The state of aging and health in America 2013. Retrieved from http:// www.cdc.gov/features/agingandhealth/state_of_aging_and_ health_in_america_2013.pdf
Centers for Disease Control and Prevention. (2015). Aging and depression. Healthy Aging. Retrieved from http://www.cdc. gov/aging/mentalhealth/depression.htm
Centers for Disease Control and Prevention and National Associ- ation of Chronic Disease Directors. (2009). The state of men- tal health and aging in America – issue brief 2: Addressing depression in older adults: Selected evidence-based pro- grams, 1–12. Retrieved from http://www.cdc.gov/aging/pdf/ mental_health_brief_2.pdf
Chapman, D.P., Perry, G.S., & Strine, T.W. (2005). The vital link between chronic disease and depressive disorders. Pre- venting Chronic Disease, 2(1), 1–10.
Cheung, G.W., & Lau, R.S. (2008). Testing mediation and sup- pression effects of latent variables: Bootstrapping with struc- tural equation models. Organizational Research Methods, 11(2), 296–325. doi:10.1177/1094428107300343
Cole, S.W., Kemeny, M.E., Taylor, S.E., & Visscher, B.R. (1996). Elevated physical health risk among gay men who conceal their homosexual identity. Health Psychology, 15 (4), 243–251.
David, S., & Knight, B.G. (2008). Stress and coping among gay men: Age and ethnic differences. Psychology and Aging, 23 (1), 62–69. doi:10.1037/0882-7974.23.1.62
Duncan, O.D. (1975). Recursive models. Introduction to structural equation models (pp. 25–66). New York: Academic Press.
Ferraro, K.F., & Shippee, T.P. (2009). Aging and cumulative inequality: How does inequality get under the skin? The Gerontologist, 49(3), 333–343. doi:10.1093/geront/gnp034
Fiske, A., Wetherell, J.L., & Gatz, M. (2009). Depression in older adults. Annual Review of Clinical Psychology, 5, 363– 389. doi:10.1146/annurev.clinpsy.032408.153621
Floyd, F.J., & Bakeman, R. (2006). Coming out across the life course: Implications of age and historical context. Archives of Sexual Behavior, 35(3), 287–296. doi:10.1007/s10508- 006-9022-x
Fredriksen-Goldsen, K.I., Cook-Daniels, L., Kim, H.-J., Ero- sheva, E.A., Emlet, C.A., Hoy-Ellis, C.P., … Muraco, A. (2013). Physical and mental health of transgender older adults: An at-risk and underserved population. The Geron- tologist, 54(3), 488–500. doi:10.1093/geront/gnt021
Fredriksen-Goldsen, K.I., Emlet, C.A., Kim, H.-J., Muraco, A., Erosheva, E.A., Goldsen, J., & Hoy-Ellis, C.P. (2013). The physical and mental health of lesbian, gay male, and bisex- ual (LGB) older adults: The role of key health indicators and risk and protective factors. The Gerontologist, 53(4), 664– 675. doi:10.1093/geront/gns123
Fredriksen-Goldsen, K.I., Hoy-Ellis, C.P., Goldsen, J., Emlet, C. A., & Hooyman, N.R. (2014). Creating a vision for the future: Key competencies and strategies for culturally com- petent practice with lesbian, gay, bisexual, and transgender (LGBT) older adults in the health and human services. Jour- nal of Gerontological Social Work, 57, 80–107. doi:10.1080/01634372.2014.890690
Fredriksen-Goldsen, K.I., Kim, H.-J., Barkan, S.E., Muraco, A., & Hoy-Ellis, C.P. (2013). Health disparities among lesbian, gay male and bisexual older adults: Results from a popula- tion-based study. American Journal of Public Health, 103 (10), 1802–1809. doi:10.2105/AJPH.2012.301110
Fredriksen-Goldsen, K.I., Kim, H.J., Shiu, C., Goldsen, J., & Emlet, C.A. (2014). Successful aging among LGBT older adults: Physical and mental health-related quality of life by age group. The Gerontologist, 55(1), 154–168. doi:10.1093/ geront/gnu081
Fredriksen-Goldsen, K.I., Simoni, J.M., Kim, H.-J., Lehavot, K., Walters, K. L., Yang, J., … Muraco, A. (2014). The health equity promotion model: Reconceptualization of lesbian, gay, bisexual, and transgender (LGBT) health disparities. American Journal of Orthopsychiatry, 84(6), 653–663 doi:10.1037/ort0000030
Gates, G.J., & Newport, F. (2012). Special report: 3.4% of U.S. adults identify as LGBT. Inaugural gallup findings based on
1128 C. P. Hoy-Ellis and K. I. Fredriksen-Goldsen
more than 120,000 interviews. Retrieved from http://www. gallup.com/poll/158066/special-report-adults-identify-lgbt. aspx
Grzywacz, J.G., Hovey, J.D., Seligman, L.D., Arcury, T.A., & Quandt, S.A. (2006). Evaluating short-form versions of the CES-D for measuring depressive symptoms among immi- grants from Mexico. Hispanic Journal of Behavioral Scien- ces, 28(3), 404–424. doi:10.1177/0739986306290645
Hatzenbuehler, M.L., Phelan, J.C., & Link, B.G. (2013). Stigma as a fundamental cause of population health inequalities. American Journal of Public Health, 103(5), 813–821. doi:10.2105/AJPH.2012.301069
Herek, G.M., & Garnets, L.D. (2007). Sexual orientation and mental health. Annual Review of Clininical Psychology, 3, 353–375. doi:10.1146/annurev.clinpsy.3.022806.091510
Hogg, M.A., Terry, D.J., & White, K.M. (1995). A tale of two theories: A critical comparison of identity theory with social identity theory. Social Psychology Quarterly, 58(4), 255– 269.
Hooper, D., Coughlan, J., & Mullen, M.R. (2008). Structural equation modeling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53– 60.
Hoy-Ellis, C.P. (2015). Concealing concealment: The mediating role of internalized heterosexism in psychological distress among lesbian, gay, and bisexual older adults. Journal of Homosexuality, 63(4), 487–506. doi:10.1080/ 00918369.2015.1088317
Human Rights Campaign. (2015). Why the equality act? Retrieved from http://www.hrc.org//resources/entry/why- the-equality-act
Iacobucci, D., Saldhana, N., & Deng, X. (2007). A meditation on mediation: Evidence that structural equations models per- form better than regressions. Journal of Consumer Psychol- ogy, 12(2), 139–153. doi:10.1016/S1057-7408(07)70020-7
Institute of Medicine. (2011). The health of lesbian, gay, bisex- ual, and transgender people: Building a foundation for better understanding. Washington, DC: The National Acad- emies Press.
Irwin, M., Artin, K.H., & Oxman, M.N. (1999). Screening for depression in the older adult: Criterion validity of the 10- item Center for Epidemiological Studies Depression Scale (CES-D). Archives of Internal Medicine, 159(15), 1701– 1174.
Juster, R.-P., McEwen, B.S., & Lupien, S.J. (2010). Allostatic load biomarkers of chronic stress and impact on health and cognition. Neuroscience & Biobehavioral Reviews, 35(1), 2– 16. doi:10.1016/j.neubiorev.2009.10.002
Katon, W.J. (2011). Epidemiology and treatment of depression in patients with chronic medical illness. Dialogues in Clini- cal Neuroscience, 13(1), 7–23.
Kenny, D.A. (2014). Measuring model fit. Retrieved from http:// davidakenny.net/cm/fit.htm
Kenny, M.E., & Hage, S.M. (2009). The next frontier: Preven- tion as an instrument of social justice. Journal of Primary Prevention, 30(1), 1–10. doi:10.1007/s10935-008-0163-7
Kertzner, R.M., Meyer, I.H., Frost, D.M., & Stirratt, M.J. (2009). Social and psychological well-being in lesbians, gay men, and bisexuals: The effects of race, gender, age, and sexual identity. American Journal of Orthopsychiatry, 79(4), 500– 510. doi:10.1037/a0016848
Krieger, N. (1999). Embodying inequality: A review of con- cepts, measures, and methods for studying health conse- quences of discrimination. International Journal of Health Services, 29(2), 295–352.
Kuzawa, C.W., & Sweet, E. (2009). Epigenetics and the embodi- ment of race: Developmental origins of US racial disparities in cardiovascular health. American Journal of Human Biol- ogy, 21(1), 2–15. doi:10.1002/ajhb.20822
Lazarus, R.S., & Folkman, S. (1984). Stress, appraisal, and cop- ing. New York, NY: Springer.
Liu, H., Feng, T., & Rhodes, A.G. (2009). Assessment of the Chinese version of HIV and homosexuality related stigma scales. Sexually Transmitted Infections, 85(1), 65–69. doi:10.1136/sti.2008.032714
Marmot, M.G., Stansfeld, S., Patel, C., North, F., Head, J., White, I., … Smith, G.D. (1991). Health inequalities among British civil servants: The Whitehall II study. The Lancet, 337(8754), 1387–1393. doi:10.1016/0140-6736(91)93068-K
Marmot, M.G., & Wilkinson, R.G. (2006). Social determinants of health (2nd ed.). New York, NY: Oxford University Press.
Matsueda, R.L. (2012). Key advances in the history of structural equation modeling. In R.H. Hoyle (Ed.), Handbook of struc- tural equation modeling (pp. 17–42). New York, NY: The Guilford Press.
Matthews, C.R., & Adams, E.M. (2009). Using a social justice approach to prevent the mental health consequences of het- erosexism. Journal of Primary Prevention, 30(1), 11–26. doi:10.1007/s10935-008-0166-4
McEwen, B.S. (1998). Stress, adaptation, and disease. allostasis and allostatic load. Annals of the New York Academy of Sci- ences, 840, 33–44.
McEwen, B.S. (2006). Protective and damaging effects of stress mediators: Central role of the brain. Dialogues in Clinical Neuroscience, 8(4), 367–381.
Meyer, I.H. (2003). Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: Conceptual issues and research evidence. Psychological Bulletin, 129(5), 674– 697. doi:10.1037/0033-2909.129.5.674
Mittelman, M.S., Roth, D.L., Haley, W.E., & Zarit, S.H. (2004). Effects of a caregiver intervention on negative caregiver appraisals of behavior problems in patients with Alzheimer’s disease: Results of a randomized trial. Journals of Gerontol- ogy Series B: Psychological Sciences and Social Sciences, 59B(1), P27–P34.
Mohr, J., & Fassinger, R. (2000). Measuring dimensions of les- bian and gay male experience. Measurement and Evaluation in Counseling and Development, 33(2), 66–90.
Murgatroyd, C., & Spengler, D. (2011). Epigenetic program- ming of the HPA axis: Early life decides. Stress, 14(6), 581– 589. doi:10.3109/10253890.2011.602146
National Senior Citizens Law Center. (2011). LGBT older adults in long-term care facilities: Stories from the field. Retrieved from http://www.lgbtlongtermcare.org/authors/
Pachankis, J.E. (2007). The psychological implications of con- cealing a stigma: A cognitive-affective-behavioral model. Psychological Bulletin, 133(2), 328–345. doi:10.1037/0033- 2909.133.2.328
Pearlin, L.I., Mullan, J.T., Semple, S.J., & Skaff, M.M. (1990). Caregiving and the stress process: An overview of concepts and their measures. The Gerontologist, 30(5), 583–594.
Pinquart, M., & Sorenson, S. (2007). Correlates of physical health of informal caregivers: A meta-analysis. Journal of Gerontology, 62B(2), P126–P137.
Pratt, L.A., & Brody, D.J. (2008). Depression in the United States household population, 2005–2006. NCHS Data Brief, (7), 1–8. Retrieved from http://www.ncbi.nlm.nih.gov/ pubmed/19389321
Preacher, K.J., & Kelley, K. (2011). Effect size measures for mediation models: Quantitative strategies for communicat- ing indirect effects. Psychological Methods, 16(2), 93–115. doi:10.1037/a0022658
Radloff, L.S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psycho- logical Measurement, 1, 385–401.
Rawls, T.W. (2004). Disclosure and depression among older gay and homosexual men: Findings from the Urban Men’s Health Study. In G. Herdt & B. de Vries (Eds.), Gay and les- bian aging: Research and future directions (pp. 117–41). New York, NY: Springer.
Rucker, D.D., Preacher, K.J., Tormala, Z.L., & Petty, R.E. (2011). Mediation analysis in social psychology: Current
Aging & Mental Health 1129
practices and new recommendations. Social and Personality Psychology Compass, 5(6), 359–371. doi:10.1111/j.1751- 9004.2011.00355.x
Seeman, T.E., Singer, B.H., Ryff, C.D., Dienberg Love, G., & Levy-Storms, L. (2002). Social relationships, gender, and allostatic load across two age cohorts. Psychosomatic Medi- cine, 64(3), 395–406.
Soni, A. (2012). Trends in use and expenditures for depression among U.S. adults age 18 and older, civilian noninstitution- alized population, 1999 and 2009. Retrieved from http:// meps.ahrq.gov/data_files/publications/st377/stat377.pdf
StataCorp. (2011). Stata: Release 12 (Vol. Stata). College Sta- tion, TX: StataCorp LP.
Substance Abuse and Mental Health Services Administration. (2013). Results from the 2012 national survey on drug use and health: Mental health findings. Retrieved from http:// www.samhsa.gov/data/sites/default/files/2k12MH_Findings/ 2k12MH_Findings/NSDUHmhfr2012.htm#sec2-3
U.S. Census Bureau. (2015). 2014 National population projec- tions: Summary tables. Table 9. Projections of the popula- tion by age and sex for the United States: 2015 to 2060. Retrieved from https://www.census.gov/population/projec tions/data/national/2014/summarytables.html
U.S. Department of Health and Human Services. (2013). Les- bian, gay, bisexual, and transgender health. 2020 Topics & Objectives. Retrieved from https://www.healthypeople.gov/ 2020/topics-objectives/topic/lesbian-gay-bisexual-and-trans gender-health/objectives
Un€utzer, J., Schoenbaum, M., Katon, W.J., Fan, M. Y., Pincus, H.A., Hogan, D., & Taylor, J. (2009). Healthcare costs asso- ciated with depression in medically Ill fee-for-service medi- care participants. Journal of the American Geriatric Society, 57(3), 506–510. doi:10.1111/j.1532-5415.2008.02134.x
Uysal, A., Lin, H.L., & Knee, C.R. (2010). The role of need sat- isfaction in self-concealment and well-being. Personality and Social Psychology Bulletin, 36(2), 187–199. doi:10.1177/0146167209354518
Valanis, B.G., Bowen, D.J., Bassford, T., Whitlock, E., Charney, P., & Carter, R.A. (2000). Sexual orientation and health:
Comparisons in the Women’s Health Initiative sample. Archives of Family Medicine, 9(9), 843–853.
Wallace, S.P., Cochran, S.D., Durazo, E.M., & Ford, C.L. (2011). The health of aging lesbian, gay and bisexual adults in California. Los Angeles, CA: UCLA Center for Health Policy Research.
Wolford, C.C., McConoughey, S.J., Jalgaonkar, S.P., Leon, M., Merchant, A.S., Dominick, J.L., … Hai, T. (2013). Tran- scription factor ATF3 links host adaptive response to breast cancer metastasis. Journal of Clinical Investigation, 123(7), 2893–2906. doi:10.1172/JCI64410
Wolkowitz, O.M., Reus, V.I., & Mellon, S.H. (2011). Of sound mind and body: Depression, disease, and accelerated aging. Dialogues in Clinical Neuroscience, 13(1), 25–39.
World Health Organization. (2003). Social determinants of health: The solid facts. Retrieved from http://www.euro. who.int/en/what-we-publish/abstracts/social-determinants- of-health.-the-solid-facts
World Health Organization. (2012). Depression. Mental Health. Retrieved from http://www.who.int/mediacentre/factsheets/ fs369/en/
Yang, Y. (2007). Is old age depressing? Growth trajectories and cohort variations in late-life depression. Journal of Health & Social Behavior, 48(1), 16–32.
Zarit, S.H., Todd, P.A., & Zarit, J.M. (1986). Subjective burden of husbands and wives as caregivers: A longitudinal study. The Gerontologist, 26(3), 260–266.
Zarit, S.H., & Zarit, J.M. (2007). Mental disorders in older adults: Fundamentals of assessment and treatment (2nd ed.). New York, NY: The Guilford Press.
Zhang, W., O’Brien, N., Forrest, J.I., Salters, K.A., Patterson, T. L., Montaner, J.S.,… Lima, V.D. (2012). Validating a short- ened depression scale (10 Item CES-D) among HIV-positive people in British Columbia, Canada. PLoS One, 7(7), e40793. doi:10.1371/journal.pone.0040793
Zuckerman, M. (1999). Diathesis-stress models. Vulnerability to psychopathology: A biosocial model (pp. 3–23). Washing- ton, DC: American Psychological Association.
1130 C. P. Hoy-Ellis and K. I. Fredriksen-Goldsen
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- Abstract
- Introduction
- Methods
- Sample and procedure
- Measures
- Statistical analyses
- Results
- Discussion
- Implications
- Limitations
- Conclusion
- Acknowledgments
- Funding
- References