Determinants of Sleep Medication Use among Participants in the National Alzheimer’s Coordinating Center Uniform Data Set

Mairead Moloney; GYeon Oh; Daniela C. Moga

doi:10.1177/0733464819888447

Determinants of Sleep Medication Use among Participants in the National Alzheimer’s Coordinating Center Uniform Data Set

Mairead Moloney, GYeon Oh, Daniela C. Moga

Research output: Contribution to journal › Article › peer-review

Abstract

Sufficient sleep is critical for health in older adults, but prescription sleep aids are associated with numerous health risks (e.g., cognitive impairment and falls). We examine usage prevalence of two medication categories—sedative hypnotics (SH) and medications commonly used for insomnia (MCUFI)—among adults aged 45+ in the National Alzheimer’s Coordinating Center data set. Analyzing the visits conducted between September 2005 and June 2018, we determine the factors associated with SH and MCUFI use, including sociodemographic, health, independence, and cognitive statuses. Usage rates were 9% for MCUFI (N = 3,279) and 4% for SH (N = 1,382). Multivariable logistic regression identified White race, higher education, younger age, depression, and sedative polypharmacy as factors associated with prescription sleep aid use. We conclude that sleep medication usage rates among older adults, higher likelihood of sedative medication polypharmacy, and higher likelihood of MCUFI use among adults with cognitive impairment are findings of concern and may warrant clinical intervention.

Original language	English
Pages (from-to)	1340-1349
Number of pages	10
Journal	Journal of Applied Gerontology
Volume	39
Issue number	12
DOIs	https://doi.org/10.1177/0733464819888447
State	Published - Dec 1 2020

Bibliographical note

Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by the Building Interdisciplinary Research Careers in Women’s Health Program (National Institute on Drug Abuse Grant No. K12DA035150) and the National Institutes of Health, National Institute on Aging (NIA; R01Grant No. AG054130). The NACC database is funded by NIA/NIH (Grant No. U01 AG016976). NACC data are contributed by the NIA-funded ADCs: P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG005131 (PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paulson, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), and P50 AG047270 (PI Stephen Strittmatter, MD, PhD).

Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by the Building Interdisciplinary Research Careers in Women?s Health Program (National Institute on Drug Abuse Grant No. K12DA035150) and the National Institutes of Health, National Institute on Aging (NIA; R01Grant No. AG054130). The NACC database is funded by NIA/NIH (Grant No. U01 AG016976). NACC data are contributed by the NIA-funded ADCs: P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG005131 (PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paulson, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), and P50 AG047270 (PI Stephen Strittmatter, MD, PhD).

Publisher Copyright:
© The Author(s) 2019.

Keywords

cognitive function
insomnia
medication
polypharmacy
sleep

ASJC Scopus subject areas

Gerontology
Geriatrics and Gerontology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1177/0733464819888447

Cite this

@article{e44367ec4c274df1b4d41130a8332345,

title = "Determinants of Sleep Medication Use among Participants in the National Alzheimer{\textquoteright}s Coordinating Center Uniform Data Set",

abstract = "Sufficient sleep is critical for health in older adults, but prescription sleep aids are associated with numerous health risks (e.g., cognitive impairment and falls). We examine usage prevalence of two medication categories—sedative hypnotics (SH) and medications commonly used for insomnia (MCUFI)—among adults aged 45+ in the National Alzheimer{\textquoteright}s Coordinating Center data set. Analyzing the visits conducted between September 2005 and June 2018, we determine the factors associated with SH and MCUFI use, including sociodemographic, health, independence, and cognitive statuses. Usage rates were 9% for MCUFI (N = 3,279) and 4% for SH (N = 1,382). Multivariable logistic regression identified White race, higher education, younger age, depression, and sedative polypharmacy as factors associated with prescription sleep aid use. We conclude that sleep medication usage rates among older adults, higher likelihood of sedative medication polypharmacy, and higher likelihood of MCUFI use among adults with cognitive impairment are findings of concern and may warrant clinical intervention.",

keywords = "cognitive function, insomnia, medication, polypharmacy, sleep",

author = "Mairead Moloney and GYeon Oh and Moga, {Daniela C.}",

note = "Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by the Building Interdisciplinary Research Careers in Women{\textquoteright}s Health Program (National Institute on Drug Abuse Grant No. K12DA035150) and the National Institutes of Health, National Institute on Aging (NIA; R01Grant No. AG054130). The NACC database is funded by NIA/NIH (Grant No. U01 AG016976). NACC data are contributed by the NIA-funded ADCs: P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG005131 (PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paulson, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), and P50 AG047270 (PI Stephen Strittmatter, MD, PhD). Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by the Building Interdisciplinary Research Careers in Women?s Health Program (National Institute on Drug Abuse Grant No. K12DA035150) and the National Institutes of Health, National Institute on Aging (NIA; R01Grant No. AG054130). The NACC database is funded by NIA/NIH (Grant No. U01 AG016976). NACC data are contributed by the NIA-funded ADCs: P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG005131 (PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paulson, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), and P50 AG047270 (PI Stephen Strittmatter, MD, PhD). Publisher Copyright: {\textcopyright} The Author(s) 2019.",

year = "2020",

month = dec,

day = "1",

doi = "10.1177/0733464819888447",

language = "English",

volume = "39",

pages = "1340--1349",

number = "12",

}

TY - JOUR

T1 - Determinants of Sleep Medication Use among Participants in the National Alzheimer’s Coordinating Center Uniform Data Set

AU - Moloney, Mairead

AU - Oh, GYeon

AU - Moga, Daniela C.

N1 - Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by the Building Interdisciplinary Research Careers in Women’s Health Program (National Institute on Drug Abuse Grant No. K12DA035150) and the National Institutes of Health, National Institute on Aging (NIA; R01Grant No. AG054130). The NACC database is funded by NIA/NIH (Grant No. U01 AG016976). NACC data are contributed by the NIA-funded ADCs: P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG005131 (PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paulson, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), and P50 AG047270 (PI Stephen Strittmatter, MD, PhD). Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was supported by the Building Interdisciplinary Research Careers in Women?s Health Program (National Institute on Drug Abuse Grant No. K12DA035150) and the National Institutes of Health, National Institute on Aging (NIA; R01Grant No. AG054130). The NACC database is funded by NIA/NIH (Grant No. U01 AG016976). NACC data are contributed by the NIA-funded ADCs: P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG005131 (PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paulson, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), and P50 AG047270 (PI Stephen Strittmatter, MD, PhD). Publisher Copyright: © The Author(s) 2019.

PY - 2020/12/1

Y1 - 2020/12/1

N2 - Sufficient sleep is critical for health in older adults, but prescription sleep aids are associated with numerous health risks (e.g., cognitive impairment and falls). We examine usage prevalence of two medication categories—sedative hypnotics (SH) and medications commonly used for insomnia (MCUFI)—among adults aged 45+ in the National Alzheimer’s Coordinating Center data set. Analyzing the visits conducted between September 2005 and June 2018, we determine the factors associated with SH and MCUFI use, including sociodemographic, health, independence, and cognitive statuses. Usage rates were 9% for MCUFI (N = 3,279) and 4% for SH (N = 1,382). Multivariable logistic regression identified White race, higher education, younger age, depression, and sedative polypharmacy as factors associated with prescription sleep aid use. We conclude that sleep medication usage rates among older adults, higher likelihood of sedative medication polypharmacy, and higher likelihood of MCUFI use among adults with cognitive impairment are findings of concern and may warrant clinical intervention.

AB - Sufficient sleep is critical for health in older adults, but prescription sleep aids are associated with numerous health risks (e.g., cognitive impairment and falls). We examine usage prevalence of two medication categories—sedative hypnotics (SH) and medications commonly used for insomnia (MCUFI)—among adults aged 45+ in the National Alzheimer’s Coordinating Center data set. Analyzing the visits conducted between September 2005 and June 2018, we determine the factors associated with SH and MCUFI use, including sociodemographic, health, independence, and cognitive statuses. Usage rates were 9% for MCUFI (N = 3,279) and 4% for SH (N = 1,382). Multivariable logistic regression identified White race, higher education, younger age, depression, and sedative polypharmacy as factors associated with prescription sleep aid use. We conclude that sleep medication usage rates among older adults, higher likelihood of sedative medication polypharmacy, and higher likelihood of MCUFI use among adults with cognitive impairment are findings of concern and may warrant clinical intervention.

KW - cognitive function

KW - insomnia

KW - medication

KW - polypharmacy

KW - sleep

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U2 - 10.1177/0733464819888447

DO - 10.1177/0733464819888447

M3 - Article

C2 - 31747852

AN - SCOPUS:85075387066

VL - 39

SP - 1340

EP - 1349

IS - 12

ER -

Determinants of Sleep Medication Use among Participants in the National Alzheimer’s Coordinating Center Uniform Data Set

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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