Introduction: This study evaluated the psychometric properties of the Subjective Memory Complaints Questionnaire (SMCQ) in a non-Hispanic White (NHW) and Mexican American (MA) sample from Texas in the USA. Methods: Data were obtained from the Health and Aging Brain Study – Health Disparities (HABS-HD; N = 1,691, age = 66.5 ± 8.7, education = 12.4 ± 4.8, 60.6% female, 33.2% MA Spanish speaking). Unidimensionality of the SMCQ was evaluated with confirmatory factor analysis. Differential item functioning (DIF) of the SMCQ was assessed across age, sex, education, and ethnicity/language using item response theory/logistic ordinal regression. Associations of the SMCQ in relation to cognitive status, Alzheimer’s disease (AD) blood-based biomarkers, and psychological distress were examined. Results: The SMCQ showed excellent fit in a single-factor model (CFI = 0.97, TLI = 0.97, RMSEA [95% CI] = 0.05 [0.04, 0.05], SRMR = 0.07). Significant item-level DIF was detected by education level and ethnicity/language, but not by age or sex; when detected, DIF was not salient (i.e., adverse). The SMCQ was associated with greater psychological distress, worse Clinical Dementia Rating scores, and greater disease burden as measured by total tau and neurofilament light. Conclusions: Practically negligible item-level bias was identified across education and ethnicity/language. Detected DIF can be described as benign, indicating that some items manifested differently between groups but had minimal impact on measurement properties. These results demonstrate that the SMCQ performs appropriately across demographic variables. Our findings also provide support for the associations of SMCQ scores with self-reported mood, cognitive status, and AD blood-based biomarkers.

1.
Mogle
JA
,
Hill
N
,
McDermott
C
.
Subjective memory in a national sample: predicting psychological well-being
.
Gerontology
.
2017
;
63
(
5
):
460
8
.
2.
Jessen
F
,
Amariglio
RE
,
van Boxtel
M
,
Breteler
M
,
Ceccaldi
M
,
Chételat
G
, et al
.
A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer’s disease
.
Alzheimers Dement
.
2014
;
10
(
6
):
844
52
.
3.
Buckley
RF
,
Sikkes
S
,
Villemagne
VL
,
Mormino
EC
,
Rabin
JS
,
Burnham
S
, et al
.
Using subjective cognitive decline to identify high global amyloid in community-based samples: a cross-cohort study
.
Alzheimers Dement
.
2019
;
11
(
1
):
670
8
.
4.
Norton
DJ
,
Amariglio
R
,
Protas
H
,
Chen
K
,
Aguirre-Acevedo
DC
,
Pulsifer
B
, et al
.
Subjective memory complaints in preclinical autosomal dominant Alzheimer disease
.
Neurology
.
2017
;
89
(
14
):
1464
70
.
5.
Brigola
AG
,
Manzini
CSS
,
Oliveira
GBS
,
Ottaviani
AC
,
Sako
MP
,
Vale
FAC
.
Subjective memory complaints associated with depression and cognitive impairment in the elderly: a systematic review
.
Dement Neuropsychol
.
2015
;
9
(
1
):
51
7
.
6.
Kujawski
S
,
Kujawska
A
,
Perkowski
R
,
Androsiuk-Perkowska
J
,
Hajec
W
,
Kwiatkowska
M
, et al
.
Interaction between subjective memory decline and depression symptom intensity in older people. Results of the second wave of cognition of older people, education, recreational activities, nutrition, comorbidities, and functional capacity studies (COPERNICUS)
.
J Clin Med
.
2021
;
10
(
7
):
1334
.
7.
Mogle
J
,
Hill
NL
,
Bhargava
S
,
Bell
TR
,
Bhang
I
.
Memory complaints and depressive symptoms over time: a construct-level replication analysis
.
BMC Geriatr
.
2020
;
20
(
1
):
57
.
8.
Benson
EM
,
Hohman
TJ
,
Jefferson
AL
,
Gifford
KA
.
P3‐190: endorsement of specific subjective cognitive decline items relates to elevated depressed scores in nondemented older adults
.
Alzheimers Dement
.
2015
;
11
(
7S_Part_15
):
P704
5
.
9.
Santabárbara
J
,
Lipnicki
DM
,
Villagrasa
B
,
Lobo
E
,
Lopez-Anton
R
.
Anxiety and risk of dementia: systematic review and meta-analysis of prospective cohort studies
.
Maturitas
.
2019
;
119
:
14
20
.
10.
Liew
TM
.
Subjective cognitive decline, anxiety symptoms, and the risk of mild cognitive impairment and dementia
.
Alzheimers Res Ther
.
2020
;
12
(
1
):
107
.
11.
Parfenov
VA
,
Zakharov
VV
,
Kabaeva
AR
,
Vakhnina
NV
.
Subjective cognitive decline as a predictor of future cognitive decline: a systematic review
.
Dement Neuropsychol
.
2020
;
14
(
3
):
248
57
.
12.
Gustavson
DE
,
Jak
AJ
,
Elman
JA
,
Panizzon
MS
,
Franz
CE
,
Gifford
KA
, et al
.
How well does subjective cognitive decline correspond to objectively measured cognitive decline? Assessment of 10–12 Year change
.
J Alzheimers Dis
.
2021
;
83
(
1
):
291
304
.
13.
Mitchell
AJ
,
Beaumont
H
,
Ferguson
D
,
Yadegarfar
M
,
Stubbs
B
.
Risk of dementia and mild cognitive impairment in older people with subjective memory complaints: meta-analysis
.
Acta Psychiatr Scand
.
2014
;
130
(
6
):
439
51
.
14.
Jessen
F
,
Amariglio
RE
,
Buckley
RF
,
van der Flier
WM
,
Han
Y
,
Molinuevo
JL
, et al
.
The characterisation of subjective cognitive decline
.
Lancet Neurol
.
2020
;
19
(
3
):
271
8
.
15.
Rabin
LA
,
Sikkes
SAM
,
Tommet
D
,
Jones
RN
,
Crane
PK
,
Elbulok-Charcape
MM
, et al
.
Linking self-perceived cognitive functioning questionnaires using item response theory: the subjective cognitive decline initiative
.
Neuropsychology
.
2023
;
37
(
4
):
463
99
.
16.
Hallam
B
,
Rees
J
,
Petersen
I
,
Cooper
C
,
Avgerinou
C
,
Walters
K
.
How are people with mild cognitive impairment or subjective memory complaints managed in primary care? A systematic review
.
Fam Pract
.
2021
;
38
(
5
):
669
83
.
17.
Youn
JC
,
Kim
KW
,
Lee
DY
,
Jhoo
JH
,
Lee
SB
,
Park
JH
, et al
.
Development of the subjective memory complaints questionnaire
.
Dement Geriatr Cogn Disord
.
2009
;
27
(
4
):
310
7
.
18.
Rios
J
,
Wells
C
.
Validity evidence based on internal structure
.
Psicothema
.
2014
;
26
(
1
):
108
16
.
19.
O’Bryant
SE
,
Johnson
LA
,
Barber
RC
,
Braskie
MN
,
Christian
B
,
Hall
JR
, et al
.
The Health and Aging Brain among Latino Elders (HABLE) study methods and participant characteristics
.
Alzheimers Dement
.
2021
;
13
(
1
):
e12202
.
20.
Meyer
TJ
,
Miller
ML
,
Metzger
RL
,
Borkovec
TD
.
Development and validation of the penn state worry questionnaire
.
Behav Res Ther
.
1990
;
28
(
6
):
487
95
.
21.
Yesavage
JA
,
Brink
TL
,
Rose
TL
,
Lum
O
,
Huang
V
,
Adey
M
, et al
.
Development and validation of a geriatric depression screening scale: a preliminary report
.
J Psychiatr Res
.
1982-1983
;
17
(
1
):
37
49
.
22.
Morris
JC
.
Clinical dementia rating: a reliable and valid diagnostic and staging measure for dementia of the Alzheimer type
.
Int Psychogeriatr
.
1997
;
9
(
Suppl 1
):
173
8
.
23.
Huang
H
,
Tseng
Y
,
Chen
Y
,
Chen
P
,
Chiu
H
.
Diagnostic accuracy of the Clinical Dementia Rating Scale for detecting mild cognitive impairment and dementia: a bivariate meta‐analysis
.
Int J Geriatr Psychiatry
.
2021
;
36
(
2
):
239
51
.
24.
O’Bryant
S
,
Petersen
M
,
Hall
J
,
Johnson
L
,
Yaffe
K
,
Braskie
M
, et al
.
Characterizing plasma NfL in a community-dwelling multi-ethnic cohort: results from the HABLE study
.
Alzheimers Dement
.
2022
;
18
(
2
):
240
50
.
25.
R Core Team
.
R: a language and environment for statistical computing
.
2023
. Available from: https://www.R-project.org/
26.
Banks
K
.
An introduction to missing data in the context of differential item functioning
.
Pract Assess Res Eval
.
2015
;
20
.
27.
Reise
SP
,
Yu
J
.
Parameter recovery in the graded response model using MULTILOG
.
J Educ Meas
.
1990
;
27
(
2
):
133
44
.
28.
De Ayala
RJ
.
The influence of multidimensionality on the graded response model
.
Appl Psychol Meas
.
1994
;
18
(
2
):
155
70
.
29.
psych
RW
.
Procedures for psychological, psychometric, and personality research. 2011Available from
. https://cran.r-project.org/web/packages/psych/index.html
30.
lavaan
RY
.
An R package for structural equation modeling
.
J Stat Softw
.
2012
;
48
(
2
).
31.
Li
C-H
.
Confirmatory factor analysis with ordinal data: comparing robust maximum likelihood and diagonally weighted least squares
.
Behav Res Methods
.
2016
;
48
(
3
):
936
49
.
32.
Zhao
Y
.
The performance of model fit measures by robust weighted least squares estimators in confirmatory factor analysis. 2015Available from
. https://etda.libraries.psu.edu/files/final_submissions/10679
33.
Mîndrilă
D
.
Maximum likelihood (ml) and diagonally weighted least squares (DWLS) estimation procedures: a comparison of estimation bias with ordinal and multivariate non-normal data
.
Int J Digit Soc
.
2010
;
1
(
1
):
60
6
.
34.
Reeve
BB
,
Hays
RD
,
Bjorner
JB
,
Cook
KF
,
Crane
PK
,
Teresi
JA
, et al
.
Psychometric evaluation and calibration of health-related quality of life item banks: plans for the patient-reported outcomes measurement information system (PROMIS)
.
Med Care
.
2007
;
45
(
5 Suppl 1
):
S22
31
.
35.
Jorgensen
TD
,
Pornprasertmanit
S
,
Schoemann
AM
,
Rossee
Y
.
semTools. 2020Available from
. https://cran.r-project.org/web/packages/semTools/index.html
36.
Green
SB
,
Yang
Y
.
Reliability of summed item scores using structural equation modeling: an alternative to coefficient alpha
.
Psychometrika
.
2009
;
74
(
1
):
155
67
.
37.
Zumbo
B
,
Gadermann
A
,
Zeisser
C
.
Ordinal versions of coefficients alpha and theta for likert rating scales
.
J Mod Appl Stat Methods
.
2007
;
6
(
1
):
21
9
.
38.
Fornell
C
,
Larcker
DF
.
Evaluating structural equation models with unobservable variables and measurement error
.
J Mark Res
.
1981
;
18
(
1
):
39
50
.
39.
Thorndike
RM
,
Thorndike-Christ
TM
.
Measurement and evaluation in psychology and education
. 8th ed.
New York, NY
:
Pearson
;
2010
.
40.
Choi
SW
,
Gibbons
LE
,
Crane
PK
.
Lordif: an R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations
.
J Stat Softw
.
2011
;
39
(
8
):
1
30
.
41.
Samejima
F
.
Estimation of latent ability using a response pattern of graded scores
.
ETS Res Bull Ser
.
1968
;
1968
(
1
).
42.
Fieo
R
,
Mukherjee
S
,
Dmitrieva
NO
,
Fyffe
DC
,
Gross
AL
,
Sanders
ER
, et al
.
Differential item functioning due to cognitive status does not impact depressive symptom measures in four heterogeneous samples of older adults: DIF due to cognitive status in depression scales
.
Int J Geriatr Psychiatry
.
2015
;
30
(
9
):
911
8
.
43.
Juhel
J
,
Gaillot
A-C
.
Structural validity and age-based differential item functioning of the French Nottingham Health Profile in a sample of surgery patients
.
Adv Psychol Stud
.
2012
;
1
:
14
21
.
44.
Kalb
LG
,
Singh
V
,
Hong
JS
,
Holingue
C
,
Ludwig
NN
,
Pfeiffer
D
, et al
.
Analysis of race and sex bias in the autism diagnostic observation schedule (ADOS-2)
.
JAMA Netw Open
.
2022
;
5
(
4
):
e229498
.
45.
Paz
SH
,
Spritzer
KL
,
Reise
SP
,
Hays
RD
.
Differential item functioning of the patient-reported outcomes information system (PROMIS®) pain interference item bank by language (Spanish versus English)
.
Qual Life Res
.
2017
;
26
(
6
):
1451
62
.
46.
Crane
PK
,
Gibbons
LE
,
Willig
JH
,
Mugavero
MJ
,
Lawrence
ST
,
Schumacher
JE
, et al
.
Measuring depression levels in HIV-infected patients as part of routine clinical care using the nine-item Patient Health Questionnaire (PHQ-9)
.
AIDS Care
.
2010
;
22
(
7
):
874
85
.
47.
Dmitrieva
NO
,
Fyffe
D
,
Mukherjee
S
,
Fieo
R
,
Zahodne
LB
,
Hamilton
J
, et al
.
Demographic characteristics do not decrease the utility of depressive symptoms assessments: examining the practical impact of item bias in four heterogeneous samples of older adults
.
Int J Geriatr Psychiatry
.
2015
;
30
(
1
):
88
96
.
48.
Gibbons
LE
,
McCurry
S
,
Rhoads
K
,
Masaki
K
,
White
L
,
Borenstein
AR
, et al
.
Japanese–English language equivalence of the cognitive abilities screening instrument among Japanese-Americans
.
Int Psychogeriatr
.
2009
;
21
(
1
):
129
37
.
49.
Kleinman
M
,
Teresi
JA
.
Differential item functioning magnitude and impact measures from item response theory models
.
Psychol Test Assess Model
.
2016
;
58
(
1
):
79
98
.
50.
Benjamini
Y
,
Hochberg
Y
.
Controlling the false discovery rate: a practical and powerful approach to multiple testing
.
J R Stat Soc Ser B Methodol
.
1995
;
57
(
1
):
289
300
.
51.
Yu
X
,
Shao
K
,
Wan
K
,
Li
T
,
Li
Y
,
Zhu
X
, et al
.
Progress in blood biomarkers of subjective cognitive decline in preclinical Alzheimer’s disease
.
Chin Med J
.
2023
;
136
(
5
):
505
21
.
52.
Molinuevo
JL
,
Rabin
LA
,
Amariglio
R
,
Buckley
R
,
Dubois
B
,
Ellis
KA
, et al
.
Implementation of subjective cognitive decline criteria in research studies
.
Alzheimers Dement
.
2017
;
13
(
3
):
296
311
.
53.
Zlatar
ZZ
,
Muniz
MC
,
Espinoza
SG
,
Gratianne
R
,
Gollan
TH
,
Galasko
D
, et al
.
Subjective cognitive decline, objective cognition, and depression in older hispanics screened for memory impairment
.
J Alzheimers Dis
.
2018
;
63
(
3
):
949
56
.
54.
Rios
JA
,
Sireci
SG
.
Guidelines versus practices in cross-lingual assessment: a disconcerting disconnect
.
Int J Test
.
2014
;
14
(
4
):
289
312
.
55.
Puente
AE
,
Ardila
A
.
Neuropsychological assessment of hispanics
. In:
Fletcher-Janzen
E
,
Strickland
TL
,
Reynolds
CR
, editors.
Handbook of cross-cultural neuropsychology
.
Boston, MA
:
Springer US
;
2000
. p.
87
104
.
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