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BMC Psychiatry logoLink to BMC Psychiatry
. 2022 May 4;22:316. doi: 10.1186/s12888-022-03964-6

Trends, correlates, and disease patterns of sedative-hypnotic use among elderly persons in Taiwan

Chia-Lun Kuo 1,2, I-Chia Chien 3,4,, Ching-Heng Lin 5,6
PMCID: PMC9066755  PMID: 35508990

Abstract

Objective

The population-based National Health Insurance database was adopted to investigate the prevalence, correlates, and disease patterns of sedative-hypnotic use in elderly persons in Taiwan.

Methods

The National Health Research Institutes provided a database of 1,000,000 random subjects in the National Health Insurance program. We adopted this sample of subjects who were older than 65 years from 1997 to 2005 and examined the proportions of psychiatric and nonpsychiatric disorders with regard to sedative-hypnotic use.

Results

The 1-year prevalence of sedative-hypnotic use in elderly individuals increased from 1.7% in 1997 to 5.5% in 2005. The 1-year prevalence rates of benzodiazepine (BZD) and non-BZD hypnotics were 3.2 and 3.1%, respectively, in 2005. The overall hypnotic use was highest in ≥85-year-olds, males, those with lower amounts of insurance or higher Charlson Comorbidity Index scores and those living in eastern Taiwan. Both BZD and non-BZD hypnotic use were most commonly used in nonpsychiatric disorders instead of psychiatric disorders. Among the psychiatric disorders, the disorders that accounted for higher BZD and non-BZD hypnotic use were senile and presenile organic psychotic conditions (3.4 and 3.4%, respectively). Higher BZD and non-BZD use was for diseases of the respiratory system (30.4 and 17.8%, respectively), the circulatory system (20.4 and 22.4%, respectively), and neoplasms (12.6 and 13.8%, respectively).

Conclusion

The prevalence rates of both BZD and non-BZD sedative-hypnotic use increased from 1997 to 2005 in the elderly. The risk factors for sedative-hypnotic use were aging, male sex, lower insurance amount, and higher Charlson Comorbidity Index scores. Most BZD and non-BZD sedative-hypnotic users were persons with nonpsychiatric disorders.

Keywords: Trends, Sedative-hypnotic, National Health Insurance, Taiwan, Psychotropic drug

Introduction

Due to their relative safety compared with barbiturates, benzodiazepines (BZDs) are widely prescribed for many conditions, such as anxiety, insomnia, muscle relaxation, muscle spasticity, convulsive disorders, presurgical sedation, and detoxification from alcohol or other substances [1]. BZDs are divided into two categories on the basis of the Anatomical Therapeutic Chemical Classification System [2]), N05B Anxiolytics, which are mainly used for anxiety treatment, and N05C hypnotics and sedatives, which are for the treatment of insomnia and to induce sedation. In addition, nonbenzodiazepine drugs (Z-drugs), such as zopiclone, zolpidem and zoleplon, have also been prescribed for insomnia in all age groups commonly in recent decades due to their claims of safety and less or no disruption of sleep architecture [3]. The use of hypnotics has increased in recent decades, as has the prevalence of insomnia in many countries [46]. Among most studies, age was reported as one of the factors associated with increased sleep problems and hypnotic use [7]. A population-based survey in Beijing showed that the prevalence of insomnia in elderly individuals aged ≥65 years was 14.0%, while it was 9.2% in the all-age group, of which one-third reported taking BZDs as sleep-enhancing drugs [8]. In a community dwelling in urban Taiwan, 6% of elderly individuals aged ≧65 had insomnia over the past month, while the frequent use of hypnotics was 8.4% [9]. The prevalence of hypnotic use in the elderly varied greatly in different studies. In a study among Medicare home health recipients, 19% were prescribed benzodiazepines, and almost 7% were prescribed nonbenzodiazepine hypnotics [10]. Another population-based cross-sectional study in Brazil indicated that the prevalence of sleeping pill use was 14.3% in the age ≥ 60 group [11]. A study of six cohorts showed that the number might be higher in institutions, in which the prevalence of hypnotic use ranged from 14.5 to 22.9% [5].

Some correlates of hypnotic use in the elderly were reported. Female gender and advancing age were related to a higher prevalence of hypnotic use [12]. Regarding other demographic factors, marital status, such as being widowed, divorced or single, and having a low income or education level, were reported to be related to a higher prevalence of hypnotic use. Conversely, Z-drug use was seen more often in those with high education and high gross income [13]. Furthermore, a history of psychiatric or physical diseases and concomitant psychotropic or other CNS medications were also related to a higher prevalence of hypnotic use [14].

Although the proportion of elderly people using hypnotics has increased in recent decades, appropriateness has been widely discussed. One study demonstrated that inappropriate use was found for 100% of hypnotic BZD users and 65% of Z-drug users [15]. Additionally, an increased risk of adverse events such as falls, fracture, dizziness, and daytime sedation was common among elderly hypnotic users [16]. On the other hand, the relationship between hypnotic use and an increased risk of mortality or cognitive impairment is controversial [17]. Moreover, the prescription of hypnotics under heterogeneous underlying diseases is not yet well known.

Taiwan implemented the National Health Insurance program in March 1995, which offers comprehensive and universal health insurance to all citizens. The National Health Insurance database represents both the contemporary prescription and medical utilization patterns in Taiwan. In this study, we investigated the trends of sedative-hypnotic use within elderly persons as well as the factors associated with it. Additionally, the proportions of sedative-hypnotic use in the elderly for psychiatric and nonpsychiatric disorders were examined.

Methods

The National Health Insurance database of medical claims in Taiwan includes outpatient care, inpatient care, and prescription drugs. The National Health Research Institutes provided a database of 1,000,000 random subjects in 2005, approximately 4.5% of the total population (22.6 million), to perform a related health services study. All the registration and claim data of these 1,000,000 individuals collected by the National Health Insurance program constitute the Longitudinal Health Insurance Database 2005. There were no statistically significant differences in age, sex, or average insured payroll-related amount between the sample group and all enrollees [18, 19]..

To analyze sedative-hypnotic use among elderly persons, we conducted a population-based, random sample study using data from 1997 to 2005. Persons older than 65 years on July 1 of each year with any record of sedative-hypnotic use were included. The initial sample consisted of 49,906 subjects in 1997, while in 1998 through 2005, 55,096, 60,193, 65,715, 71,387, 77,240, 83,460, 90,013 and 96,851 objects in each year were analyzed [18, 19]. We also identified the prevalence, correlates, and disease patterns of sedative-hypnotic use among the study subjects in 2005. This study was approved by the Tsaotun Psychiatric Center Institutional Review Board. Informed consent was not available from all participants in that we used claims data (a database established by the National Health Research Institute) in this study. Informed consent is waived by the Tsaotun Psychiatric Center Institutional Review Board. We confirm that all methods were carried out in accordance with relevant guidelines and regulations in this study.

Assessment of Sedative-Hypnotic Use

In the current study, hypnotics and sedatives were recorded on the basis of the Anatomical Therapeutic Chemical Classification System (WHO, 2005), in which we divided hypnotics into 2 categories: BZD hypnotics (N05CD) and non-BZD hypnotics, which are also called Z-drugs (N05CF).

Measures

Demographic data, including age, sex, insurance amount, geographic distribution, and urbanization, from the National Health Insurance database were analyzed. Age was stratified into three categories: 65–74; 75–84; and 85 years or older. In NHI, the premiums of the most insured are determined on the basis of the insured wage and premium rate. Insured wage is the insurance amount. The insured amount of the insured is divided into 38 grades ranging from NT$15,840 to NT$87,600. For the insured group without salaried income, the average premium remained at NT$1007. The insurance amount was classified into one of five categories: fixed premium, dependent, lower than US$640 (NTD 20,000), US$640–$1280 (NTD 20,000–39,999), and US$1281 (NTD 40,000) or more. Urbanization was divided into three categories: urban, suburban, and rural. The Charlson Comorbidity Index is widely used to predict future mortality for patients with a range of comorbid conditions. The CCI is a weighted index that takes into account the number and seriousness of comorbid disease [20]. In this study, the CCI was analyzed to determine the general health conditions of subjects.

Assessment of Psychiatric Disorder

Subjects with hypnotics and sedative use who received at least one service claim in 2005 for either inpatient or outpatient care, with a primary or secondary diagnosis of a psychiatric disorder, were identified. We examined the proportion of psychiatric disorders with regard to sedative-hypnotic use. The psychiatric disorders were divided into major and minor psychiatric disorders. Major psychiatric disorders included International Classification of Diseases, Ninth Revision, clinical modification codes 290 through 299; minor psychiatric disorders included codes 300 through 316 [18, 19].

Assessment of Medical Disorder

Subjects with sedative-hypnotic use who had at least one service claim in 2005 for either outpatient or inpatient care with the primary diagnosis of a medical disorder were also identified. The proportion of medical disorders recorded was examined with regard to sedative-hypnotic use [18, 19].

Statistical Analysis

Considering the trends of sedative-hypnotic use in the elderly, we examined temporal changes from 1997 to 2005. Time series analysis was performed, and linear models were also used to assess the trends in sedative-hypnotic use. The adjustment factors used for multiple logistic analysis in Table 2, including age, sex, insurance amount, region, and urbanicity to analyze the significant factors associated with different groups of hypnotics. Data were fit into models using SAS for Windows, version 9.1, and the significance level was set at 0.05 [18, 19].

Table 2.

Prevalence and logistic regression of sedative-hypnotic use

Variables BZD (N05CD) Non-BZD (N05CF)
Prevalence (%) OR 95% CI Prevalence (%) OR 95% CI
Age
 65–74 2.4 1.00 2.6 1.00
 75–84 4.1 1.52*** 1.41–1.65 3.9 1.31*** 1.21–1.42
  ≥ 85 6.2 2.56*** 2.28–2.87 4.0 1.43*** 1.25–1.63
Sex
 Male 3.8 1.00 3.3 1.00
 Female 2.7 0.71*** 0.65–0.76 3.0 0.96 0.89–1.04
Insurance amount ($)*
 Fixed premium 4.0 1.49 0.93–2.37 3.8 2.30** 1.32–4.01
 Dependent 3.3 1.54 0.97–2.45 3.2 2.09** 1.20–3.65
  < 640 (< 20,000 NTD) 2.8 1.20 0.75–1.91 2.8 1.90* 1.09–3.32
 640–1280 (20,000–39,999 NTD) 2.8 1.42 0.82–2.45 2.4 1.71 0.91–3.23
  ≥ 1281(≥40,000 NTD) 2.0 1.00 1.4 1.00
Charlson Comorbidity Index
 0 0.5 1.00 0.5 1.00
 1 2.6 5.47*** 4.59–6.51 2.7 5.43*** 4.57–6.46
 2 6.2 12.82*** 10.72–15.34 5.7 11.63*** 9.73–13.90
 3 10.4 23.08*** 19.32–27.58 9.8 21.33*** 17.89–25.45
Region
 Northern 3.2 0.59*** 0.50–0.71 3.1 0.76** 0.63–0.93
 Central 3.2 0.59*** 0.49–0.71 3.7 0.93 0.76–1.14
 Southern 3.2 0.59*** 0.50–0.71 2.8 0.69*** 0.57–0.84
 Eastern 5.3 1.00 4.0 1.00
Urbanization
 Urban 3.2 0.82*** 0.75–0.90 3.2 1.03 0.94–1.14
 Suburban 3.3 0.97 0.87–1.08 3.4 1.12* 1.00–1.25
 Rural 3.3 1.00 2.9 1.00
Total 3.2 3.1

*: p < 0.05

**: p < 0.01

***: p < 0.001

Results

Table 1 shows the trends in sedative-hypnotic use in the elderly population from 1997 to 2005. The overall 1-year prevalence increased from 1.7 to 5.5% during that time period (P < 0.001). An increasing trend of sedative-hypnotics was noted in all three age groups: age 65 to 74, 75 to 84, and > =85. The hypnotics and sedative use increased from 1.6 to 4.2% in the 65–74 age group, 2.0 to 6.9% in the 75–84 age group, and 2.1 to 9.1% in the ≥85 age group (p < 0.001). The increase in hypnotics and sedative use was also noted in both sexes, from 1.6 to 6.0% in males (p < 0.001) and 1.9 to 4.9% in females (p < 0.001). The overall prevalence was higher in females than in males before 2003 and reversed after 2004. The increasing prevalence of hypnotics and sedatives from 1997 to 2005 was noted in both benzodiazepine derivative hypnotics (BZD hypnotic) and non-benzodiazepine-related hypnotics (non-BZD hypnotic), while the increasing trend was even more dominant in non-BZD hypnotics (p < 0.001). The prevalence of BZD hypnotic use increased from 1.5 to 3.2% (P = 0.013), while the prevalence of non-BZD hypnotic use increased from 0.2 to 3.1% (P < 0.001).

Table 1.

Prevalence of sedative-hypnotic use from 1997 to 2005

Year
1997 1998 1999 2000 2001 2002 2003 2004 2005 PD(%) t a P
Sample 49, 906 55, 096 60, 193 65, 715 71, 387 77, 240 83, 460 90, 013 96, 51
Age (y)
 65–74 1.6 1.8 2.1 2.1 2.4 2.8 2.9 3.3 4.2 163 9.01 < 0.001
 75–84 2.0 2.5 2.8 2.9 3.4 4.0 4.3 5.5 6.9 245 8.17 < 0.001
 ≧85 2.1 1.5 3.1 3.5 3.6 4.8 5.1 6.9 9.1 333 7.57 < 0.001
Sex
 Male 1.6 1.9 2.2 2.3 2.7 3.3 3.3 4.5 6.0 275 6.72 < 0.001
 Female 1.9 2.1 2.3 2.4 2.8 3.3 3.6 4.1 4.9 158 10.85 < 0.001
Sedative-Hypnotic
 BZD (N05CD) 1.5 1.6 1.7 1.6 1.7 1.8 1.8 2.2 3.2 113 3.30 0.013
 Non-BZD (N05CF) 0.2 0.5 0.8 1.0 1.4 1.9 2.2 2.8 3.1 1450 23.05 < 0.001
Total 1.7 2.0 2.3 2.4 2.7 3.3 3.5 4.3 5.5 224 8.26 < 0.001

PD Percentage difference between 2005 and 1997

aTest for linear trend

Table 2 shows the logistic regression of factors associated with the prevalence of BZD sedative-hypnotic and non-BZD sedative-hypnotic use. With regard to age, both BZD and non-BZD sedative-hypnotic use was higher in the age > =85 group (P < 0.001). Moreover, the prevalence of BZD sedative-hypnotics (OR: 0.71, P < 0.001) was lower in females than in males, while non-BZD sedative-hypnotics showed no significant difference between sexes. There was no significant difference between different insurance amounts in the prevalence of BZD sedative-hypnotics. However, compared with the high insurance amount, higher non-BZD sedative-hypnotic use was higher in the fixed premium (OR: 2.30, P < 0.01), dependent groups (OR: 2.09, P < 0.01), and < 640 groups (OR: 1.90, P < 0.05). High correlations between the CCI and both BZD and non-BZD sedative-hypnotic use was also noted. The odds ratios in CCI ≥ 3 were more than 20 in the study (P < 0.001). However, lower BZD sedative-hypnotic use was found in urban areas (OR: 0.82, P < 0.001), while non-BZD hypnotic use was higher in suburban areas (OR: 1.12, P < 0.05). Regarding regions, both BZD and non-BZD sedative-hypnotic use rates were relatively lower in western Taiwan.

Table 3 shows the proportions of psychiatric disorders among subjects according to BZD sedative-hypnotic and non-BZD sedative-hypnotic use. Psychiatric disorders were found in 8.60% of BZD sedative-hypnotic users and 10.87% of non-BZD sedative-hypnotic users. The proportions of major psychiatric disorders were 7.17% in BZD sedative-hypnotic users and 8.40% in non-BZD sedative-hypnotic users. Among the major psychiatric disorders, the disorders accounting for higher use of both BZD and non-BZD sedative-hypnotics were senile and presenile organic psychotic conditions (3.38 and 3.39%, respectively). Among the minor psychiatric disorders, neurotic disorders such as neurotic depression and anxiety state were associated with 1.46% in BZD sedative-hypnotic use and 2.21% in non-BZD sedative-hypnotic use, respectively.

Table 3.

Psychiatric disorder proportions among subjects who used sedative-hypnotics

Medical Disorder (ICD-9-CM Code) BZD (N05CD)
(n = 3140)
Non-BZD (N05CF)
(n = 3035)
n % n %
Without psychiatric disorder 2870 91.40 2705 89.13
Any psychiatric disorder 270 8.60 330 10.87
Any major psychiatric disorder 225 7.17 255 8.40
  Senile and presenile organic psychotic conditions (290) 106 3.38 103 3.39
  Transient organic psychotic conditions (293) 10 0.32 14 0.46
  Other organic psychotic conditions (294) 39 1.24 57 1.88
  Schizophrenic disorders (295) 31 0.99 27 0.89
  Affective psychoses (296) 42 1.34 63 2.08
   Major depressive disorder (296.2, 296.3) 31 0.99 48 1.58
   Bipolar affective disorder (296) 11 0.35 15 0.49
   Paranoid states (297) 4 0.13 9 0.30
  Other nonorganic psychosis (298) 5 0.16 5 0.16
Any minor psychiatric disorder 54 1.72 86 2.83
  Neurotic disorders (300) 46 1.46 67 2.21
   Anxiety state (300.0) 25 0.80 36 1.19
    Anxiety disorders (300.0 except 300.01) 24 0.76 35 1.15
   Neurotic depression (300.4) 16 0.51 27 0.89
  Special symptoms or syndromes not elsewhere (307) 5 0.16 10 0.33
  Depressive disorder, not elsewhere classified (311) 26 0.83 45 1.48

Table 4 shows the proportions of medical disorders among subjects according to BZD sedative-hypnotic and non-BZD sedative-hypnotic use. In nonpsychiatric disorders, there were higher BZD and non-BZD sedative-hypnotic use rates for diseases of the respiratory system, circulatory system, and digestive system.

Table 4.

Proportions of medical disorders among the subjects using sedative-hypnotics

Medical Disorder (ICD-9-CM Code) BZD (N05CD)
(n = 2870)
Non-BZD (N05CF)
(n = 2705)
n % n %
Without psychiatric disorder
 Neoplasms (140-239) 361 12.58 374 13.83
  Malignant neoplasm of trachea, bronchus and lung (162) 69 2.40 64 2.37
  Malignant neoplasm of liver and intrahepatic bile ducts (155) 44 1.53 44 1.63
 Diseases of the circulatory system (390-459) 586 20.42 606 22.40
  Other forms of chronic ischemic heart disease (414) 89 3.10 140 5.18
  Heart failure (428) 72 2.51 84 3.11
  Occlusion of cerebral arteries (434) 111 3.87 107 3.96
 Disease of the respiratory system (460-519) 873 30.42 482 17.82
  Pneumonia, organism unspecified (486) 291 10.14 142 5.25
  Chronic bronchitis (491) 103 3.59 121 4.47
  Other diseases of lung (518) 352 12.26 79 2.92
 Diseases of the digestive system (520-579) 287 10.00 283 10.46
  Gastric ulcer (531) 54 1.88 61 2.26
  Cholelithiasis (574) 48 1.67 35 1.29
 Diseases of the genitourinary system (580-629) 189 6.59 233 8.61
  Other disorders of urethra and urinary tract (599) 69 2.40 91 3.36
 Diseases of the musculoskeletal system and connective tissue (710-739) 143 4.98 267 9.87
  Osteoarthrosis and allied disorders (715) 49 1.71 84 3.11
  Injury and poisoning (800-999) 250 8.71 294 10.87
  Fracture of neck of femur (820) 58 2.02 75 2.77

Discussion

In this study, the overall prevalence of sedative-hypnotic use increased from 1.7 to 5.5% from 1997 to 2005. The increased prevalence of sedative-hypnotics might be attributable to the comprehensive NHI program through which the evaluation and treatment of psychiatric and medical diseases has become available and affordable. However, the prevalence was lower than those in surveys in Brazil and Iceland [9, 21]. When considering the high prevalence of antipsychotic and antidepressant use in elderly individuals in Taiwan compared with other countries [19, 20], the lower prevalence of sedative-hypnotic use was not undertreatment of mental disorders in Taiwan. Another possible explanation is that in our study, sedative-hypnotic use was based on the Anatomical Therapeutic Chemical Classification System [2], in which we divided anxiolytics, hypnotics and sedatives into 2 categories: anxiolytic (N05B) and sedative-hypnotics (N05C). Some elderly individuals might take anxiolytics for insomnia but were not included in the hypnotic use group.

Increasing trends were noted in all three age groups: 65 to 74, 75 to 84, and > =85. This was consistent with other studies that revealed that the prevalence rates of insomnia and sedative-hypnotic use increased with age [4, 19]. Considering the higher prevalence of depression in the age group > = 85 in a previous community study of older people in Taiwan [22], insomnia as one symptom of depression could be more common among the elderly. In addition, an increase in BZD sedative-hypnotic use was noted in both sexes, while in females, it was higher than that in males from 1997 to 2003 but significantly reversed from 2004 to 2005. Considering the higher prevalence of depression and antidepressant use with time in females [20], whether males tend to take mere sedative-hypnotics for insomnia instead of treating potential psychiatric diseases requires further investigation.

The popularity of the National Health Insurance might lead to the consistency of treatment for psychiatric disorders and sedative-hypnotic use in different insurance amounts. A higher prevalence of sedative-hypnotics was highly related to low income, which was presented by the insurance amount in our study. This is reasonable since a higher prevalence of depression and insomnia in subjects with lower income was reported in some studies [2325]. Moreover, a lower incidence of sedative-hypnotic use in western Taiwan and urban areas might suggest caution in clinicians’ prescription of sedative-hypnotic use in urban areas. This might also imply that the prevalence rates of depression and medical service utilization could vary when considering urbanization [26].

The Charlson Comorbidity Index is a weighted index that takes into account the number and seriousness of comorbid diseases [18]. In our study, a high correlation was noted between the CCI and both BZD and non-BZD sedative-hypnotic use. It is well known that chronic diseases increase as the risk of depression [27, 28], in which insomnia might be a core symptom. Some studies have even indicated that insomnia and sedative-hypnotic use had a stronger relation to somatic health than to mental health in the elderly group [29].

For sedative-hypnotic use in psychiatric disorders, only 8.60% of BZD sedative-hypnotic users and 10.87% of non-BZD sedative-hypnotic users had at least one psychiatric disorder. The prevalence of sedative-hypnotic use for the treatment of insomnia was close to the prevalence of insomnia in old age in Taiwan [9]. In the users with psychiatric disorders, the most common diagnosis was senile organic psychotic disorder. Hypnotic use in dementia is for the treatment of related altered sleep cycles or behavioral and psychological symptoms of dementia at night. BZD prescription in the elderly might be underestimated since many of them used anxiolytics for sleep problems due to the fewer side effects of daytime sedation.

Surprisingly, with respect to medical disorders in BZD sedative-hypnotic use, the highest proportion was in diseases of the respiratory system. Nearly one-third of BZD sedative-hypnotic users had a primary diagnosis of diseases of the respiratory system. Non-BZD sedative-hypnotic users had a lower but still significant proportion of diseases of the respiratory system. Patients with diseases of the respiratory system might suffer from poor sleep quality, and sedative-hypnotics might be prescribed [30]. However, some studies mentioned the relationship between the use of sedative-hypnotics, BZDs or non-BZDs, with an increased risk of pneumonia or other respiratory diseases [31, 32]. Additionally, respiratory depression due to sedative-hypnotic use was well known in previous studies [33]. There could be a bidirectional relationship between sedative-hypnotic use and respiratory diseases. Clinicians should employ more caution when prescribing both BZD and non-BZD sedative-hypnotics in this older and respiratory-vulnerable population.

Another common medical disorder in BZD and non-BZD sedative-hypnotic use was the circulatory system. The use of sedative-hypnotics may be due to insomnia as a symptom of the depression and anxiety found commonly in patients with circulatory conditions [34, 35]. However, studies on the risk of mortality from heart disease in sedative-hypnotic uses are inconsistent [36, 37]. Some studies even indicated that hypnotic use might be related to lower mortality [38]. Further studies about the safety of prescribing sedative-hypnotics in patients with circulatory conditions are required.

For BZDs and non-BZDs, sedative-hypnotic use in neoplasms, which was the third most common primary diagnosis in medical disorders, accounted for more than 10% of all sedative-hypnotic uses. Patients with cancer might suffer pain and poor sleep quality, leading to the use of sedatives and hypnotics. The risk of cancer in sedative-hypnotic use has been studied in recent years. Most studies indicated that sedative-hypnotic use was not associated with an overall increase in cancer risk when considering confounding factors such as smoking [39], while others indicated the opposite conclusion [40].

There are some limitations in our study. First, the disease pattern was estimated through the registration of diagnostic codes in the National Health Insurance system, and the records were not designed for research purposes. The quality of records may vary depending on different hospitals and clinicians. The subjects with psychiatric disorders might be underestimated due to missed coding by clinicians or overestimated due to the requirements of The National Health Research Institutes for the prescriptions of sedative-hypnotics. Second, the prescription patterns of sedative-hypnotics, such as dosage, duration, or frequency, were not investigated in this study. Third, the impairment of cognition and dementia in medical subjects could be missed, and therefore, the subjects with psychiatric disorders could be underestimated. Finally, other limitations include the cross-sectional nature of the study, the absence of a comparison group (e.g., those with psychiatric diagnoses listed who did not use hypnotics), and the fact that nonmedication therapies were not investigated or reported.

Conclusion

The prevalence rates of both BZD and non-BZD use increased from 1997 to 2005 in the elderly population in Taiwan. The overall sedative-hypnotic use was highest in ≥85-year-olds, those with lower insurance amounts and higher Charlson Comorbidity Index scores and those in eastern Taiwan. Both BZDs and non-BZDs were most commonly used in nonpsychiatric disorders instead of psychiatric disorders. Further investigations of the indication, dosage, frequency, duration, adverse effects, and off-label uses of sedative-hypnotics in the elderly are required.

Acknowledgments

We thank the National Health Research Institute and Bureau of National Health Insurance for supplying the data.

Authors’ contributions

Dr. Chien and Dr. Kuo had designed this study and had written this paper, and Mr. Lin was responsible for statistics.. All authors provided comments and conceived the study. The author(s) read and approved the final manuscript.

Funding

We do not receive funding support.

Availability of data and materials

A database established by the National Health Research Institute (NHRI), which included medical claim records of outpatient care, inpatient care and prescription drugs, was used. The datasets generated and/or analyzed during the current study are not publicly available due to ownership by NHRI but are available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participate

This study was approved by the Tsaotun Psychiatric Center Institutional Review Board. Informed consent was not available from all participants in that we used claims data (a database established by the National Health Research Institute) in this study. Informed consent is waived by the Tsaotun Psychiatric Center Institutional Review Board. We confirm that all methods were carried out in accordance with relevant guidelines and regulations in this study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no conflicts of interest.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

A database established by the National Health Research Institute (NHRI), which included medical claim records of outpatient care, inpatient care and prescription drugs, was used. The datasets generated and/or analyzed during the current study are not publicly available due to ownership by NHRI but are available from the corresponding author on reasonable request.


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