Analysis of the Point Prevalence and Influencing Factors of Acute Stress Disorder in Elderly Patients with Osteoporotic Fractures.

BACKGROUND: Increasing attention has been paid to posttraumatic affective disorders. However, orthopedic surgeons dealing with trauma often ignore the harm of such diseases.
OBJECTIVE: To investigate the point prevalence and influencing factors of acute stress disorder (ASD) in elderly patients with osteoporotic fractures (EPOFs) from the perspective of orthopedic surgeons. PATIENTS AND METHODS: A total of 595 cases of EPOFs were treated at our hospital from January 1, 2018, to June 30, 2019. The patients meeting our inclusion criteria were assessed using a structured interview based on the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-V) criteria to verify the presence of ASD. After diagnosis, the participants were divided into two groups (those with and without ASD). The sociodemographic characteristics, disease characteristics, and Social Support Rating Scale (SSRS) scores were assessed. The chi-square test was used for univariate analysis, and multivariate analysis was performed using binary logistic regression.
RESULTS: Of the 524 participants, 32 (6.1%) met the criteria for the diagnosis of ASD. The results of the univariate analysis showed that gender, personality, living alone, monthly family income, initial fear, poor prognosis expectation, anxiety/depression, pain, and social support were associated with ASD in EPOFs (P<0.05). The multivariate regression analysis showed that isolation, low monthly family income, introversion, poor prognosis expectation, previous traumatic history, and intense pain were the main influencing factors and risk factors (OR>1) for ASD in EPOFs.
CONCLUSION: Being female, living alone, introversion, poor family income, intense initial fear, poor prognosis expectation, anxiety/depression, intense pain perception and low social support were significantly related to the occurrence of ASD in EPOFs. To achieve optimal recovery in EPOFs, orthopedic surgeons should meet both the physiological and psychological needs of the patients.

Introduction

Trauma is a common experience. The concept of trauma is defined by occurrences in one’s life, that are characterized by intensity and one’s incapacity to respond suitable to them, the upset they cause, and the lasting psychopathological effects they produce.1 It has been estimated that 50% to 90% of the US adults experience trauma during their lives.2,3 Many victims of trauma recover on their own, but others do not. Acute stress disorder (ASD), an acute trauma response that occurs within 4 weeks following a traumatic event, was introduced as a new diagnosis in 1994 in the 4th edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV).4 In 2013, substantial changes were made to the diagnosis of ASD with the release of the 5th edition of the DSM (DSM-V).5 Patients with ASD respond with intense fear, helplessness, or anguish and may report anxiety, depression, fatigue, headaches, or gastrointestinal or rheumatic symptoms.6 Since the introduction of the ASD diagnosis, research on acute posttraumatic stress has been increasing. Previous studies have shown that the prevalence of ASD is 6% among people who experience an industrial accident,7 13–14% among people who experience a motor vehicle accident,8,9 19% among people who experience a violent assault,10 and up to 33% among people who experience a mass shooting.11 However, ASD is not included in large-scale psychiatric epidemiology studies because these studies generally focus on chronic diseases. In addition, in terms of the prevalence of ASD, the temporary nature of the disease (within one month) makes it difficult to accurately estimate the epidemiological population ratio.12

Osteoporotic fracture is a major and increasing cause of morbidity and loss of independence worldwide, with 5.8 million healthy life years lost to disability annually.13 Due to poor bone condition combined with other systemic diseases in elderly patients, treating elderly patients with osteoporotic fractures (EPOFs) has been a challenge for orthopedic surgeons. If EPOFs are suffering from certain mental disorders, such as ASD and post-traumatic stress disorder (PTSD), their poor adherence makes a complicated situation for treatment. Most previous studies on ASD have focused on patients with high-energy injuries caused by road traffic accidents, and few studies have focused on the ASD in elderly patients with fractures caused by low-energy injuries.14–17 Compared with the prevalence of ASD in patients with high-energy injuries, that in EPOFs may be relatively low. However, the harm caused by ASD in EPOFs should not be ignored by orthopedic surgeons because it may cause challenges in postoperative nursing care, the failure of early functional exercise, and even the failure of internal fixation due to poor treatment adherence.18,19 Clinically, most elderly patients with fractures experience osteoporotic fractures caused by low-energy injuries (injury severity score,20 ISS≤16), and severe fractures caused by high-energy injuries (ISS>16) are rare. Thus, the data of hospitalized EPOFs caused by low-energy injuries between January 1, 2018, and June 30, 2019, in our hospital were collected, and the point prevalence and risk factors for ASD in the EPOFs were investigated from the perspective of orthopedic surgeons in this study.

Patients and Methods

Patients

Our consecutive subjects were aged 65 years or older and had been hospitalized for osteoporotic fracture in the orthopedic ward of Chongqing Traditional Chinese Medicine Hospital (CTCMH) between January 1, 2018, and June 30, 2019. The hospitalized EPOFs were assessed using a structured interview based on the DSM-V criteria to verify the presence of ASD. After diagnosis, participants were divided into two groups (those with and without ASD). This study was approved by the Research Ethics Board of CTCMH (No. 2018-ky-DZY), and written informed consent was obtained from all participating patients prior to study commencement.

The inclusion criteria were as follows: patients aged ≥65 years; patients with osteoporotic fractures (ISS≤16); patients with available data from 3 days to 1 month after the injury; and patients with clear consciousness and normal cognitive ability who could fill in the questionnaire or answer the questionnaire independently or with the help of the researchers. The exclusion criteria were as follows: acute trauma resulting in a central nervous system disorder; long-term/intermittent coma or a mental disorder; other severe stress events that occurred during treatment; symptoms of mental illness or a history of mental illness; unclear language expression or a communication barrier; fracture caused by a high-energy traumatic event (ISS score >16) or a chronic pain history.

Procedures

Enrolled inpatients were interviewed in person by uniformly trained investigators. The time of psychological evaluation was 3–28 days after injury. The investigation was conducted after dinner, when the patient’s emotional state was relatively stable and the environment was relatively quiet. The evaluation factors were as follows:

Sociodemographic characteristics: Collected sociodemographic characteristics included gender, personality, living alone status, education, residential area, and monthly family income.

Disease characteristics: Disease characteristics were measured using a number of different questions and instruments; chronic somatic illnesses, traumatic experience(s), initial fear, prognosis expectation, anxiety/depression, pain and social support were all measured.

Anxiety/depression was assessed by the Hospital Anxiety and Depression Scale (HADS).21 Patients with acute trauma are prone to fear, insomnia and other symptoms. The HADS is a self-assessment scale that is used to assess the anxiety and depression of patients in general hospitals, with good reliability and validity.16 The HADS includes the anxiety subscale and depression subscale. It has 14 items in total, and each item is divided into 4 grades. The scores of the anxiety and depression subscales are calculated, with a score of 8 considered the cutoff value to determine the presence of anxiety and depression.21

The degree of pain was measured on a 100-mm-long visual analog scale (VAS).22 The VAS has been used for decades and proven to be a valid, reliable and change-sensitive measure of subjective pain.23 The patients locate the degree of pain in a straight line according to self-perception (mild pain ≤3, 3 < moderate pain ≤7, intense pain >7).22

Social Support Rating Scale (SSRS): The SSRS was originally developed for the Chinese population in 1986.24 It has been widely used in various studies in different Chinese communities and has been shown to have good validity and reliability.25 There are 10 items in the SSRS; 3 items evaluate objective support, 4 items evaluate subjective support and 3 items evaluate support utilization. Objective support reflects objective, visible or practical support received in the past. Subjective support reflects the individual emotional experience of being respected, supported and understood in the community. Support utilization reflects the pattern of behavior that an individual uses when seeking social support.26 Higher scores indicate stronger social support (low social support <20, 20>moderate social support <30, satisfactory social support >30).

Statistical Analysis

After the data were checked and verified by two persons, Excel software was used to establish the database, and SPSS 22.0 statistical software (IBM Corporation, Armonk, NY, USA) was used for statistical processing. Descriptive statistical methods were used to analyze sociodemographic characteristics; chi-square tests were used for univariate analysis of sociodemographic characteristics, disease characteristics and social support level; and binary logistic regression was used for multivariate analysis.

Results

Point Prevalence of ASD in EPOFs

A total of 595 EPOFs (65 years or older) were admitted to our orthopedic ward from January 1, 2018, to June 30, 2019. A total of 587 (98.7%) of these patients had mild injuries caused by low-energy events (ISS<16), 35 patients could not completely fill out the questionnaire, 9 patients were transferred to other departments within 3 days due to concomitant acute cerebral infarction or other special conditions, and 21 patients or family members were not willing to participate in the study. Thus, a total of 524 patients, including 178 male and 346 female patients, met the inclusion criteria. Only 32 (6.1%) patients met the diagnostic criteria for ASD, and they all met criterion A1 (directly experiencing a traumatic event). In the ASD group, 28 (87.5%) patients were female, and 4 (12.5%) patients were male. A total of 105 (20%) patients fulfilled the criterion of invasive memories, 285 (54.4%) patients fulfilled the criterion of negative moods, 86 (16.4%) patients fulfilled the criterion of dissociative symptoms, 136 (26%) patients fulfilled the criterion of avoidance symptoms, and 268 (51.1%) patients fulfilled the criterion of arousal symptoms.

Univariate Analysis

Effects of Sociodemographic Characteristics on ASD in EPOFs

The sociodemographic characteristics are shown in Table 1. The results of the univariate analysis showed that gender, living alone, monthly family income, and personality were related to ASD (P < 0.05), with statistically significant differences (Table 2). The risk of ASD in individuals with the characteristics of female gender, living alone, introversion, and low monthly family income was greater than that in individuals with the characteristics of male gender, living with others, extroversion and high monthly family income. Education level and residential area were not related to the occurrence of ASD (P > 0.05).

Table 1

Sociodemographic Characteristics of All Patients (n =524)

Sociodemographic Characteristics	ASD Group		Non-ASD Group
	N	%	N	%
Gender
Male	4	12.5	174	35.4
Female	28	87.5	318	64.6
Living alone
Yes	27	84.3	53	10.8
No	5	15.7	439	89.2
Personality
Extroversion	8	25.0	351	71.3
Introversion	24	75.0	141	28.7
Residential area
Rural	14	43.8	215	43.7
Urban	18	46.2	277	56.3
Maximum educational level
Primary school and below	17	53.1	248	50.4
Junior high school	12	37.5	201	40.9
Senior high school	2	6.2	30	6.1
College	1	3.1	13	2.6
Monthly family income
Good (>9000 RMB)	3	9.4	152	10.6
Medium (3000–6000 RMB)	9	28.1	148	30.1
Poor (<3000 RMB)	20	62.5	292	59.3

Table 2

The Univariate Analysis of Sociodemographic Characteristics

Factors	Category	ASD Group	Non-ASD Group	Total	χ2	P value	95% (CI)	OR
Gender	Female	28	318	346	7.004	0.008	1.322–11.098	3.830
	Male	4	174	178
Living alone	Yes	27	53	80	125.823	0.000	16.522–121.086	44.728
	No	5	439	444
Monthly family income	Good	3	152	155	a0.839	a0.360	a0.490–6.898	a1.839
	Medium	9	248	257	b20.937	b0.000	b3.185–38.092	b11.014
	Poor	20	92	112	c22.198	c0.000	c2.632–13.632	c5.990
Personality	Extroversion	8	414	422	67.049	0.000	6.902–36.734	15.923
	Introversion	24	78	102
Maximum educational level	Primary school and below	17	248	265	d0.216e0.001f0.012g0.020h0.055i0.013	d0.722e0.971f0.914g0.889h0.814i0.910	d0.536–2.460e0.226–4.670f0.110–7.222g0.191–4.200h0.094–6.438i0.072–10.423	d1.148e1.028f0.891g0.896h0.776i0.867
	Junior high school	12	201	213
	Senior high school	2	30	32
	College	1	13	14
Residential area	Rural	14	225	239	0.048	0.827	0.449–1.897	0.923
	Urban	18	267	285

Notes: aGood vs medium, bGood vs poor, cPoor vs medium, dPrimary school and below vs junior high school, ePrimary school and below vs senior high school, fPrimary school and below vs college, gJunior high school vs senior high school, hJunior high school vs s college, iSenior high school vs s college.

Abbreviations: OR, odds ratio; CI, confidence interval.

Effects of Disease Characteristics on ASD in EPOFs

The disease characteristics are shown in Table 3. The results showed that prognosis expectation, anxiety/depression, traumatic history, initial fear and pain were related to the occurrence of ASD in EPOFs (P < 0.05), with statistically significant differences. This indicated that patients with poor prognosis expectations, anxiety/depression, intense initial fear, previous traumatic history and intense pain perception were more likely to have an ASD than those with good prognosis expectations, slight pain perception, no anxiety/depression, no traumatic history and initial fear.

Table 3

The Univariate Analysis of Disease Characteristics

Factors	Category	ASD Group	Non-ASD Group	Total	χ2	P value	95% (CI)	OR
Prognosis expectation	High	1	278	278	a9.640	a0.002	a1.615–113.842	a13.561
	Medium	6	123	129	b59.849	b0.000	b10.205–571.568	b76.374
	Low	25	91	116	c15.785	c0.000	c2.219–14.293	c5.632
Traumatic history	Yes	15	86	101	16.686	0.000	2.003–8.663	4.166
	No	17	406	423
Anxiety/depression	Yes	25	90	115	62.791	0.000	6.692–38.028	15.952
	No	7	402	409
Initial fear	No/slight	5	291	296	d4.733	d0.030	d0.097–0.942	d0.303
	Moderate	8	141	149	e52.051	e0.000	e0.019–0.151	e0.054
	Intense	19	60	79	f17.259	f0.000	f0.074–0.432	f0.179
Pain	No/slight	6	109	115	g0.691	g0.406	g0.549–4.359	g1.547
	Moderate	10	281	291	h4.740	h0.029	h0.132–0.932	h0.351
	Intense	16	102	118	i14.452	i0.000	i0.100–0.516	i0.227
Social support	Low	15	125	140	j4.108	j0.043	j1.009–5.318	j2.316
	Medium	10	193	203	k5.797	k0.016	k1.181–7.531	k2.983
	High	7	174	181	l0.253	l0.615	l0.480–3.457	l1.288

Notes: aHigh vs medium, bHigh vs low, cHigh vs medium, dNo/slight vs moderate, eNo/slight vs intense, fModerate vs intense, gNo/slight vs moderate, hNo/slight vs intense, iModerate vs intense, jLow vs medium, kLow vs high, lHigh vs medium.

Abbreviations: OR, odds ratio; CI, confidence interval.

Effects of Social Support Level on ASD in EPOFs

The degree of social support is shown in Table 3. The results showed that social support was associated with the occurrence of ASD in EPOFs (P < 0.05), and the difference was statistically significant. This result indicated that the risk of ASD in patients with a low social support level was higher than that in patients with a medium or/and high social support level.

Multivariate Regression Analysis

The 10 statistically significant factors affecting ASD in the univariate analysis were considered independent variables (Table 4), and the presence or absence of ASD was included in the binary logistic regression equation as a dependent variable. The results showed that isolation, low monthly family income, introversion, poor prognosis expectation, previous traumatic history, and intense pain were the main influencing factors and risk factors (OR>1) of ASD (Table 5). No obvious protective factor of ASD was identified (OR<1).

Table 4

Independent Variable Assignment Table

	Variable	Assignment Method
Gender	X1	2=female, 1=male
Living along	X2	2=yes, 1= no
Monthly family income	X3	3=poor, 2=medium, 1=good
Personality	X4	2=introversion, 1=extroversion
Prognosis expectation	X5	3=poor, 2=medium,1=good
Traumatic history	X6	2=yes, 1=no
Anxiety/depression	X7	2=yes, 1=no
Initial fear	X8	3=intense, 2=medium, 1=mild/no
Pain	X9	3=intense, 2=medium, 1=mild/no
Social support	X10	3=low, 2=medium, 1=high
Whether or not ASD	Y	2=yes, 1=no

Table 5

The Binary Logistic Regression Analysis of ASD

Factor	B	SE	Wald	P	95% (CI)	OR
Gender	0.269	1.071	0.063	0.802	0.160–10.665	1.308
Living alone	4.303	1.286	11.190	0.001	5.941–920.007	73.930
Monthly family income	2.050	0.800	6.575	0.010	1.621–37.246	7.771
Personality	4.190	1.330	9.928	0.002	4.873–894.405	66.015
Prognosis expectation	2.005	0.754	7.083	0.008	1.696–32.535	7.429
Traumatic history	2.983	1.286	5.384	0.020	1.589–245.522	19.753
Anxiety/depression	1.738	1.058	2.698	0.101	0.715–45.246	5.686
Initial fear	1.585	0.825	3.696	0.055	0.970–24.571	4.881
Pain	1.454	0.823	3.117	0.077	0.852–21.499	4.280
Social support	1.167	0.674	2.998	0.083	0.857–12.041	3.213

Abbreviations: OR, odds ratio; CI, confidence interval.

Discussion

This study showed that the point prevalence of ASD in EPOFs was related to gender, personality, living alone, initial fear, monthly family income, anxiety/depression, traumatic history, prognosis expectation, social support and pain. Living alone, low monthly family income, introversion, poor prognosis expectation, previous traumatic history, and intense pain were the main influencing factors and risk factors (OR>1) of ASD. Additionally, our results suggested that the point prevalence of ASD in EPOFs was at the low end of the reported point prevalence but was still in line with previous findings.7,27 The relatively low point prevalence of ASD could be attributed to the fact that most of the fractures in elderly patients were caused by low-energy injuries.

The traditional goals for the improvement of treatment are to improve surgical skills and internal fixation materials to maximize recovery of physical function in patients. However, with the reform of the current clinical treatment mode, psychosocial factors play an increasingly significant role in treatment and postoperative rehabilitation.28,29 Relevant studies have indicated that early identification of and timely intervention for ASD can greatly reduce its incidence and degree of harm and be very beneficial to the recovery of patients.30–32 Therefore, it is important to evaluate the relative risk and protective factors of ASD in EPOFs.

The univariate and logistic regression analyses showed that living alone was a risk factor for ASD in the EPOFs. EPOFs living alone may have an increased risk of ASD because they have greater concern about their future and the stability of their family life and thus tend to have increased anxiety, worry and depression in the face of changes.33 This investigation showed that there was no significant correlation between education level and the occurrence of ASD in EPOFs (P > 0.05). However, previous studies have suggested that patients with high education levels are more likely to have better medical and disease condition knowledge and are thus less likely prone to anxiety, depression and other negative emotions caused by errors and negative news than those with low education levels; accordingly, they can actively respond to and positively face the difficulties in front of them.34 We think that the reason why the results of this study were different from those of previous studies may be related to differences in the cultural levels of patients. The logistic regression analysis showed that introversion was a risk factor for the development of ASD in EPOFs, and introverts are more likely to have ASD than extroverts. Other similar studies have also indicated that patients with introverted tendencies experience challenges communicating with the outside world; thus, they receive less attention and support from others and are more prone to posttraumatic mental disorders after stress stimulation than those with extroverted tendencies.35 Our results also showed that low monthly family income was a risk factor for ASD in EPOFs. After a traumatic accident, people with low incomes may experience increased psychological and functional difficulties due to a lack of mediating variables such as occupational, social and financial resources.36 The conservation of resources theory suggests that low income may be a chronic stressor, increasing psychological distress as a result of limited access to resources and resource accumulation.37

The results of the univariate analysis showed that gender was related to ASD, as the point prevalence of ASD in females was higher than that in males (P < 0.05). This is in line with previous research results.18,38 Bryant and Harvey reported that 23% of women experienced ASD after motor vehicle accidents, while only 8% of men experienced ASD.39 Previous studies have suggested that gender differences in mental response during a disaster may be related to differences in the encoding of memories of disasters and differences in cognitive schemas between the sexes.40 This suggests that it is necessary to provide more psychological counseling and care to elderly female patients with traumatic fractures.

The analysis of disease characteristics showed that previous traumatic experience(s), poor prognosis expectation and intense pain perception were risk factors (OR>1) for the development of ASD in EPOFs. Previous reports have shown that patients with previous traumatic experiences are increasingly likely to develop ASD when they are faced with trauma again.41,42 This may be due to the recall of events, scenarios or other clues related to the traumatic events or similar events, and adverse scenario stimuli lead to fear, which results in strong psychological pain and physiological reactions. Anxiety is commonly comorbid with depression disorders and ASD.43–45 Anxiety/depression is a mood disorder characterized by an anxious/depressed mood or loss of interest or pleasure, with neurovegetative and cognitive symptoms.46 Posttraumatic anxiety/depression often occurs when patients realize that their health has been greatly damaged and they are facing a risk of dysfunction and disability; this generally occurs after “emotional shock” in the early stage of trauma. Our results showed that anxiety/depression was related to ASD, which is consistent with other studies that have noted that patients with a predisposition to anxiety are prone to developing clinically significant stress responses in relation to life stressors.47–49

Pain is a common clinical manifestation of many diseases, and a concern of both doctors and patients. It is an experience that we associate with actual or potential tissue damage. Pain is unquestionably a sensation in a part or parts of the body, but it is also always unpleasant and therefore also an emotional experience.50 Consistent with previous literature,51,52 our results also showed that pain is a risk factor for ASD. In addition, many studies have verified the relationship between pain and PTSD. In patients with whiplash injury, pain was associated with acute posttraumatic psychological responses.53 In victims of traffic accidents, pain was found to be related to PTSD morbidity.54 In another study of victims of motor vehicle accidents, a reduction in pain severity was a significant predictor of a reduction in PTSD symptoms.55 Fuglsang et al found that pain can be a powerful trigger of reexperiencing symptoms, thus repeatedly reminding patients of the trauma they have experienced.56 These findings suggest that effective relief of posttraumatic pain may help reduce the incidence rate of ASD.

Social support is generally defined as the belief that one is cared for, loved, respected, and available for help and serves as a protective factor for emotional disorders.57 Social support comprises multiple dimensions, including the quantity and quality of support and perceived social support, and may be derived from multiple sources, including family, friends, colleagues and the community.58 Previous studies have demonstrated that satisfactory social support can reduce the occurrence of psychological stress disorder to a certain extent, improve the ability of injured patients to handle traumatic events, and provide long-term protection in individuals through mediators,59 while poor social support is associated with depression,60 suicide,61,62 anxiety disorders, schizophrenia, and bipolar disorder.63 Our results showed that low social support is a risk factor for ASD. Similar to our research results, Sattler et al found that low social support was related to the occurrence of ASD, and patients with low social support were more likely to develop ASD, promoting the development of ASD symptoms.64 Therefore, if family members, relatives, friends, medical staff and social groups of all levels provide broad emotional, economic and psychological support to traumatized individuals through a variety of channels, the occurrence of posttraumatic ASD may be reduced.

PTSD is a common mental disorder manifesting through symptoms of reexperiencing, hyper-arousal and avoidance following a traumatic event and is associated with substantial physical and psychiatric co-morbidities, including substance abuse and suicide.65 The DSM-V states that symptoms must be present for one month following the traumatic event for PTSD to be diagnosed. While the ASD has similar symptoms to PTSD, it is diagnosed 3 days to 1-month post-trauma. The previous literature has indicated that it is probable that most risk factors for PTSD also apply to ASD, and ASD was introduced partly to predict subsequent PTSD, but longitudinal studies indicate that ASD is not an accurate predictor of PTSD.17,66 However, a multisite study found that subsyndromal ASD criteria that did not require dissociation to be present had greater sensitivity for predicting the subsequent development of PTSD than the DSM-IV ASD criteria.67 Therefore, long-term follow-up to observe the relationship between subsyndromal ASD and PTSD should be conducted in our next study. In addition, another review has questioned the validity and limitations of ASD as a diagnosis;68 the definition of dissociation (a central element of ASD diagnosis) is still unclear, what peritraumatic is dissociation and its association with ASD are still in doubt, and there is difficulty in establishing what qualifies as a clinically significant level of distress or impairment (Criterion F for ASD). However, although the complexity of the posttraumatic stress process limits the diagnosis of ASD and the prediction of subsequent PTSD, the use of existing DSM diagnostic criteria still plays a positive role in the early prevention and treatment of post-traumatic emotional disorders. Certainly, more longitudinal studies should be conducted to gain a better understanding of the long-term reaction to trauma, to assess somatic symptoms, and to investigate the effect of stress on morbidity or on worsening of illness as a reaction to exposure to traumatic events.

Several limitations in this study are evident. First, the relatively small sample size may have weakened the statistical power. Second, stressful life event data were collected retrospectively, and recall bias may have affected the results. Third, no professional psychiatrists participated in this study; thus, whether the questions answered by the super elderly patients (>85 years) were completely accurate is questionable. Fourth, the DSM adopts a consensual and syndromal check-list approach that is largely theoretical.69 Therefore, some subjective errors may occur in the collection of research data, including patients and investigators. However, the original purpose of this study was to observe patients’ emotional disorders from the perspective of surgeons; thus, we believe that the results of this study still have relatively good clinical significance for surgeons.

In conclusion, surgeons operating on elderly fracture patients should provide help and support to patients considering the above possible risk factors for ASD, encourage patients’ families and friends to provide emotional and material support, and guide patients to utilize their social support system effectively to avoid the occurrence and deterioration of ASD. As only orthopedic surgeons were involved in this study, we hope that future research jointly includes surgical staff and psychiatrists so that the results of the research are more clinically significant.