Comorbidities and Risk Factors Associated With Insomnia in the Elderly Population

INTRODUCTION/OBJECTIVES: Sleep disorders affect around 50 to 70 million Americans, with chronic insomnia being the most common, especially in the elderly population. With an 11-fold increase in the US office visits due to insomnia, from 0.8 to 9.4 million, between 1993 and 2015, it is imperative to identify the modifiable risk factors. The aim of our study was to examine the association of risk factors and comorbid medical conditions with insomnia in patients 65 years, and older. METHODS: We performed a retrospective electronic medical record review of the patients aged 65 years and older, who visited our suburban internal medicine office between July 1, 2020 and June 30, 2021. Patients were divided into insomnia group, and the group without insomnia. The associated variables were compared. RESULTS: Among 2431 patients, 247 patients (10.2%) had insomnia. Mean ages of the patients in the insomnia group and the group without insomnia were comparable (77 ± 8.1 year vs 76 ± 7.5 year; CONCLUSIONS: Female sex, dementia, depression, anxiety, chronic pain disorders, and atrial fibrillation are associated with insomnia in the elderly patients. Presence of depression, anxiety, and chronic pain disorders are associated with greater odds of having insomnia in the elderly patients

Association of Risk Factors and Comorbidities With Chronic Pain in the Elderly Population

INTRODUCTION/OBJECTIVE: Chronic pain disorders affect about 20% of adults in the United States, and it disproportionately affects individuals living in the neighborhoods of extreme socioeconomic disadvantage. In many instances, chronic pain has been noted to arise from an aggregation of multiple risk factors and events. Therefore, it is of importance to recognize the modifiable risk factors. The aim of this study was to investigate the comorbid medical conditions and risk factors associated with chronic pain disorders in patients aged 65 years and older. METHODS: Our team retrospectively reviewed medical records of elderly patients (65 years and older) who were evaluated in our outpatient medicine office between July 1, 2020 and June 30, 2021 for acute problems, management of chronic medical problems, or well visits. We divided our patients into a group who suffered from chronic pain disorder, and another group who did not have chronic pain disorder. The association of variables were compared between those groups. RESULTS: Of the 2431 patients, 493 (20.3%) had a chronic pain disorder. A higher frequency of females in the group with chronic pain disorder was found compared to the group without a chronic pain disorder (60.6% vs 55.2%; CONCLUSION: Female sex, depression, anxiety, chronic obstructive pulmonary disease, obstructive sleep apnea, gastroesophageal reflux disease, osteoarthritis, other rheumatologic diseases, and peripheral neuropathy were significantly associated with chronic pain disorder in elderly patients, while BMI was not associated with chronic pain disorder

Comorbidities and Risk Factors Associated With Insomnia in the Elderly Population.

INTRODUCTION/OBJECTIVES: Sleep disorders affect around 50 to 70 million Americans, with chronic insomnia being the most common, especially in the elderly population. With an 11-fold increase in the US office visits due to insomnia, from 0.8 to 9.4 million, between 1993 and 2015, it is imperative to identify the modifiable risk factors. The aim of our study was to examine the association of risk factors and comorbid medical conditions with insomnia in patients 65 years, and older. METHODS: We performed a retrospective electronic medical record review of the patients aged 65 years and older, who visited our suburban internal medicine office between July 1, 2020 and June 30, 2021. Patients were divided into insomnia group, and the group without insomnia. The associated variables were compared. RESULTS: Among 2431 patients, 247 patients (10.2%) had insomnia. Mean ages of the patients in the insomnia group and the group without insomnia were comparable (77 ± 8.1 year vs 76 ± 7.5 year; P = .211). There was a significantly greater frequency of women in the insomnia group compared to the group without insomnia (63.2% vs 55.5%; P = .022). In the insomnia group, there were significantly higher frequencies of association of certain comorbidities compared to the group without insomnia, such as dementia (6.5% vs 3.4%; P = .015), depression (30.8% vs 14.9%; P \u3c 0.001), anxiety disorder (34.4% vs 17.4%; P \u3c .001), atrial fibrillation (19.4% vs 13.4%; P = .01), and chronic pain disorders (32.8% vs 18.9%; P \u3c .001). Logistic regression analysis showed significantly greater odds of insomnia in patients who had depression (OR = 1.860, 95% CI 1.342–2.576; P \u3c .001), anxiety (OR = 1.845, 95% CI 1.342-2.537; P \u3c .001), and chronic pain disorders (OR = 1.901, 95% CI 1.417-2.549; P \u3c .001). CONCLUSIONS: Female sex, dementia, depression, anxiety, chronic pain disorders, and atrial fibrillation are associated with insomnia in the elderly patients. Presence of depression, anxiety, and chronic pain disorders are associated with greater odds of having insomnia in the elderly patients

Association of Risk Factors and Comorbidities With Chronic Pain in the Elderly Population.

INTRODUCTION/OBJECTIVE: Chronic pain disorders affect about 20% of adults in the United States, and it disproportionately affects individuals living in the neighborhoods of extreme socioeconomic disadvantage. In many instances, chronic pain has been noted to arise from an aggregation of multiple risk factors and events. Therefore, it is of importance to recognize the modifiable risk factors. The aim of this study was to investigate the comorbid medical conditions and risk factors associated with chronic pain disorders in patients aged 65 years and older. METHODS: Our team retrospectively reviewed medical records of elderly patients (65 years and older) who were evaluated in our outpatient medicine office between July 1, 2020 and June 30, 2021 for acute problems, management of chronic medical problems, or well visits. We divided our patients into a group who suffered from chronic pain disorder, and another group who did not have chronic pain disorder. The association of variables were compared between those groups. RESULTS: Of the 2431 patients, 493 (20.3%) had a chronic pain disorder. A higher frequency of females in the group with chronic pain disorder was found compared to the group without a chronic pain disorder (60.6% vs 55.2%; P = .033). The mean ages between the two groups were similar in the group with a chronic pain disorder compared to the group without (76.35 ± 7.5 year vs 76.81 ± 7.59 year; P = .228). There were significant associations of certain comorbidities in the group with a chronic pain disorder compared to the group without a chronic pain disorder, such as depression (21.9% vs 15.2%; P \u3c .001), anxiety (27.0% vs 17.1%; P \u3c .001), chronic obstructive pulmonary disease (8.7% vs 6.1%; P = .036), obstructive sleep apnea (16.8% vs 11.6%; P = .002), gastroesophageal reflux disease (40.8% vs 29.0%; P \u3c .001), osteoarthritis (49.3% vs 26.1%; P \u3c .001), other rheumatologic diseases (24.9% vs 19.4%; P = .006), and peripheral neuropathy (14.4% vs 5.3%; P \u3c .001). CONCLUSION: Female sex, depression, anxiety, chronic obstructive pulmonary disease, obstructive sleep apnea, gastroesophageal reflux disease, osteoarthritis, other rheumatologic diseases, and peripheral neuropathy were significantly associated with chronic pain disorder in elderly patients, while BMI was not associated with chronic pain disorder

Identifying The People At Risk: Which Populations Is The Opioid Epidemic Affecting The Most?

The opioid epidemic has cost the US more than one trillion dollars over the past 17 years and is expected to cost more than 500 billion dollars over the next three years. Utilizing state level panel data from the 2006-2013 Current Population Surveys and Behavioral Risk Factor Surveillance Systems, this paper uses regression analysis to examine the effects of various factors, such as income, unemployment, health insurance coverage, sex, race/ethnicity, marital status, education, age, and health status, on opioid overdose/abuse. By identifying the high-risk groups, resources can be more efficiently allocated to the areas and people in need. These resources include educating the people and the health care providers in the affected area, providing accessible Naloxone, implementing opioid addiction relief programs, etc. Having these resources accessible to the areas in need will improve the health of the population and reduce health care costs. Other researchers have identified these high-risk groups on a local level. This study provides a more in-depth statewide review of high-risk groups. This paper finds those who are widowed or divorced, higher education graduates, not in the labor force, with reported poor health, on Medicaid, uninsured, who identify in the other race category, or who live in metropolitan areas are high-risk. Further, prescription rate per state was associated with higher prescription opioid overdose death rate. Considering this, additional attention should be placed on these high-risk groups when considering treatment, prevention, and other tactics to help battle the ongoing epidemic

Association of Risk Factors and Comorbidities With Chronic Pain in the Elderly Population

Introduction/Objective: Chronic pain disorders affect about 20% of adults in the United States, and it disproportionately affects individuals living in the neighborhoods of extreme socioeconomic disadvantage. In many instances, chronic pain has been noted to arise from an aggregation of multiple risk factors and events. Therefore, it is of importance to recognize the modifiable risk factors. The aim of this study was to investigate the comorbid medical conditions and risk factors associated with chronic pain disorders in patients aged 65 years and older. Methods: Our team retrospectively reviewed medical records of elderly patients (65 years and older) who were evaluated in our outpatient medicine office between July 1, 2020 and June 30, 2021 for acute problems, management of chronic medical problems, or well visits. We divided our patients into a group who suffered from chronic pain disorder, and another group who did not have chronic pain disorder. The association of variables were compared between those groups. Results: Of the 2431 patients, 493 (20.3%) had a chronic pain disorder. A higher frequency of females in the group with chronic pain disorder was found compared to the group without a chronic pain disorder (60.6% vs 55.2%; P  = .033). The mean ages between the two groups were similar in the group with a chronic pain disorder compared to the group without (76.35 ± 7.5 year vs 76.81 ± 7.59 year; P  = .228). There were significant associations of certain comorbidities in the group with a chronic pain disorder compared to the group without a chronic pain disorder, such as depression (21.9% vs 15.2%; P  < .001), anxiety (27.0% vs 17.1%; P  < .001), chronic obstructive pulmonary disease (8.7% vs 6.1%; P  = .036), obstructive sleep apnea (16.8% vs 11.6%; P  = .002), gastroesophageal reflux disease (40.8% vs 29.0%; P  < .001), osteoarthritis (49.3% vs 26.1%; P  < .001), other rheumatologic diseases (24.9% vs 19.4%; P  = .006), and peripheral neuropathy (14.4% vs 5.3%; P  < .001). Conclusion: Female sex, depression, anxiety, chronic obstructive pulmonary disease, obstructive sleep apnea, gastroesophageal reflux disease, osteoarthritis, other rheumatologic diseases, and peripheral neuropathy were significantly associated with chronic pain disorder in elderly patients, while BMI was not associated with chronic pain disorder

Comorbidities and Risk Factors Associated With Insomnia in the Elderly Population

Introduction/Objectives: Sleep disorders affect around 50 to 70 million Americans, with chronic insomnia being the most common, especially in the elderly population. With an 11-fold increase in the US office visits due to insomnia, from 0.8 to 9.4 million, between 1993 and 2015, it is imperative to identify the modifiable risk factors. The aim of our study was to examine the association of risk factors and comorbid medical conditions with insomnia in patients 65 years, and older. Methods: We performed a retrospective electronic medical record review of the patients aged 65 years and older, who visited our suburban internal medicine office between July 1, 2020 and June 30, 2021. Patients were divided into insomnia group, and the group without insomnia. The associated variables were compared. Results: Among 2431 patients, 247 patients (10.2%) had insomnia. Mean ages of the patients in the insomnia group and the group without insomnia were comparable (77 ± 8.1 year vs 76 ± 7.5 year; P  = .211). There was a significantly greater frequency of women in the insomnia group compared to the group without insomnia (63.2% vs 55.5%; P  = .022). In the insomnia group, there were significantly higher frequencies of association of certain comorbidities compared to the group without insomnia, such as dementia (6.5% vs 3.4%; P  = .015), depression (30.8% vs 14.9%; P  < 0.001), anxiety disorder (34.4% vs 17.4%; P  < .001), atrial fibrillation (19.4% vs 13.4%; P  = .01), and chronic pain disorders (32.8% vs 18.9%; P  < .001). Logistic regression analysis showed significantly greater odds of insomnia in patients who had depression (OR = 1.860, 95% CI 1.342–2.576; P  < .001), anxiety (OR = 1.845, 95% CI 1.342-2.537; P  < .001), and chronic pain disorders (OR = 1.901, 95% CI 1.417-2.549; P  < .001). Conclusions: Female sex, dementia, depression, anxiety, chronic pain disorders, and atrial fibrillation are associated with insomnia in the elderly patients. Presence of depression, anxiety, and chronic pain disorders are associated with greater odds of having insomnia in the elderly patients