scholarly journals Parental Physical Illnesses and Their Association with Subsequent Externalizing and Internalizing Symptoms in Children

Author(s):  
Lotta Kinnunen ◽  
Tanja Nordström ◽  
Mika Niemelä ◽  
Sami Räsänen ◽  
Sarah Whittle ◽  
...  

AbstractParental physical illnesses can be stressful for children. We estimated the prevalence of children who experience parental physical illnesses, and whether parental physical illnesses during childhood were associated with behavioral problems in adolescence. Data on children from the Northern Finland Birth Cohort 1986 was collected through questionnaires at ages 8 and 16 (n = 7037). Data on parental illness diagnosed during this study period was obtained from health registers. We investigated the association between parental physical illness (based on the International Classification of Diseases) and children’s behavioral problems at age 16 (measured by the Youth Self-Report questionnaire). During the study period, 3887 (55.2%) children had a parent with at least one physical illness. Associations were found between parental physical illness and children’s behavioral problems, with most associations found between maternal illness and males’ externalizing problems, and females’ internalizing problems. After adjusting for child behavioral problems at age 8, parental psychiatric illness and socioeconomic status, and multiple testing correction, only associations between parental physical illness and male behavioral problems were significant. Interestingly, parental illness was associated with lower problems. A notable proportion of children experience parental physical illnesses. Although mixed, our findings suggest that the impact of parental physical illness on children’s behavioral problems is complex, and that the experience of parental illness may lead to resilience in males. This study emphasizes that children’s needs should be taken into account when treating a parent with physical illness.

2017 ◽  
Vol 41 (S1) ◽  
pp. S575-S576
Author(s):  
Z. Mansuri ◽  
S. Patel ◽  
P. Patel ◽  
O. Jayeola ◽  
A. Das ◽  
...  

ObjectiveTo determine trends and impact on outcomes of atrial fibrillation (AF) in patients with pre-existing psychosis.BackgroundWhile post-AF psychosis has been extensively studied, contemporary studies including temporal trends on the impact of pre-AF psychosis on AF and post-AF outcomes are largely lacking.MethodsWe used Nationwide Inpatient Sample (NIS) from the healthcare cost and utilization project (HCUP) from year's 2002–2012. We identified AF and psychosis as primary and secondary diagnosis respectively using validated international classification of diseases, 9th revision, and Clinical Modification (ICD-9-CM) codes, and used Cochrane–Armitage trend test and multivariate regression to generate adjusted odds ratios (aOR).ResultsWe analyzed total of 3.887.827AF hospital admissions from 2002–2012 of which 1.76% had psychosis. Proportion of hospitalizations with psychosis increased from 5.23% to 14.28% (P trend < 0.001). Utilization of atrial-cardioversion was lower in patients with psychosis (0.76%v vs. 5.79%, P < 0.001). In-hospital mortality was higher in patients with Psychosis (aOR 1.206; 95%CI 1.003–1.449; P < 0.001) and discharge to specialty care was significantly higher (aOR 4.173; 95%CI 3.934–4.427; P < 0.001). The median length of hospitalization (3.13 vs. 2.14 days; P < 0.001) and median cost of hospitalization (16.457 vs. 13.172; P < 0.001) was also higher in hospitalizations with psychosis.ConclusionsOur study displayed an increasing proportion of patients with Psychosis admitted due to AF with higher mortality and extremely higher morbidity post-AF, and significantly less utilization of atrial-cardioversion. There is a need to explore reasons behind this disparity to improve post-AF outcomes in this vulnerable population.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2017 ◽  
Vol 34 (11) ◽  
pp. 1054-1057
Author(s):  
Kayli Senz ◽  
Whitney Humphrey ◽  
Vanessa Lee ◽  
Aaron Caughey ◽  
Sarah Dotters-Katz

Objective Characterize the impact of a trisomy 18 (T18) fetus on maternal and obstetric outcomes in a cohort including T18-affected deliveries. Study Design Retrospective cohort study of singleton deliveries in California from 2005 to 2008 using linked vital statistics and the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9) data to compare deliveries affected by T18 to those without known aneuploidy. Outcomes of interest included gestational diabetes mellitus (GDM), preterm delivery (PTD), preeclampsia, cesarean delivery (CD), and intrauterine fetal demise (IUFD). The χ2 and paired t-tests were used to compare the outcomes. Multiple logistic regression was used to further characterize these risks and control potential confounders. Results Of 2,029,000 deliveries, 298 involved T18. Compared with unaffected deliveries, T18 was associated with GDM (10.7 vs. 6.5%, p = 0.003), PTD < 37 (40.6 vs. 9.9%, p < 0.001) and < 32 weeks (14.8 vs. 1.4%, p < 0.001), and cesarean section (56 vs. 30.2%, p < 0.001), but not preeclampsia. In adjusted analyses, T18 pregnancies were associated with an increased risk of PTD < 37 and < 32 weeks (adjusted odds ratio [AOR]: 5.48, 95% confidence interval [CI]: 4.29, 6.99; AOR: 10.4, 95% CI: 7.26, 14.8), and an increased odd of CD for primiparous and multiparous women (AOR: 2.41, 95% CI: 1.48, 3.91; AOR: 5.42, 95% CI: 3.90, 7.53). Risk of GDM did not persist. Conclusion Unlike trisomy 13 (T13), pregnancies complicated by fetal T18 did not appear to result in an increased risk of preeclampsia. However, there is an increased risk of a range of other obstetric complications.


2021 ◽  
pp. bjophthalmol-2020-318420
Author(s):  
Sneh Patel ◽  
Natalia Tohme ◽  
Emmanuel Gorrin ◽  
Naresh Kumar ◽  
Brian Goldhagen ◽  
...  

BackgroundChalazia are common inflammatory eyelid lesions, but their epidemiology remains understudied. This retrospective case–control study examined the prevalence, risk factors and geographic distribution of chalazia in a large veteran population.MethodsData on all individuals seen at a Veterans Affairs (VA) clinic between October 2010 and October 2015 were extracted from the VA health database. Subjects were grouped based on International Classification of Diseases, Ninth Revision (ICD-9) code for chalazion. Univariable logistic regression modelling was used to identify clinical and demographic factors associated with chalazion presence, followed by multivariable modelling to examine which factors predicted risk concomitantly. All cases were mapped across the continental US using geographic information systems modelling to examine how prevalence rates varied geographically.ResultsOverall, 208 720 of 3 453 944 (6.04%) subjects were diagnosed with chalazion during the study period. Prevalence was highest in coastal regions. The mean age of the population was 69.32±13.9 years and most patients were male (93.47%), white (77.13%) and non-Hispanic (93.72%). Factors associated with chalazion risk included smoking (OR=1.12, p<0.0005), conditions of the tear film (blepharitis (OR=4.84, p<0.0005), conjunctivitis (OR=2.78, p<0.0005), dry eye (OR=3.0, p<0.0005)), conditions affecting periocular skin (eyelid dermatitis (OR=2.95, p<0.0005), rosacea (OR=2.50, p<0.0005)), allergic conditions (history of allergies (OR=1.56, p<0.0005)) and systemic disorders (gastritis (OR=1.54, p<0.0005), irritable bowel syndrome (OR=1.45, p<0.0005), depression (OR=1.35, p<0.0005), anxiety (OR=1.31, p<0.0005)). These factors remained associated with chalazion risk when examined concomitantly.ConclusionPeriocular skin, eyelid margin and tear film abnormalities were most strongly associated with risk for chalazion. The impact of environmental conditions on risk for chalazion represents an area in need of further study.


2018 ◽  
Vol 31 (08) ◽  
pp. 1171-1179 ◽  
Author(s):  
Shih-Feng Chen ◽  
Yu-Huei Chien ◽  
Pau-Chung Chen ◽  
I-Jen Wang

ABSTRACTBackground:The impact of age on the development of depression among patients with chronic kidney disease (CKD) at stages before dialysis is not well known. We aimed to explore the incidence of major depression among predialysis CKD patients of successively older ages through midlife.Methods:We conducted a retrospective cohort study using the longitudinal health insurance database 2005 in Taiwan. This study investigated 17,889 predialysis CKD patients who were further categorized into study (i.e. middle and old-aged) groups and comparison group aged 18–44. The International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) was applied for coding diseases.Results:The group aged 75 and over had the lowest (hazard ratio [HR] 0.47; 95% confidence interval [CI] 0.32–0.69) risk of developing major depression, followed by the group aged 65–74 (HR 0.67; 95% CI 0.49–0.92), using the comparison group as reference. The adjusted survival curves showed significant differences in cumulative major depression-free survival between different age groups. We observed that the risk of major depression development decreases with higher age. Females were at a higher risk of major depression than males among predialyasis CKD patients.Conclusions:The incidence of major depression declines with higher age in predialysis CKD patients over midlife. Among all age groups, patients aged 75 and over have the lowest risk of developing major depression. A female preponderance in major depression development is present. We suggest that depression prevention and therapy should be integrated into the standard care for predialysis CKD patients, especially for those young and female.


Pain Medicine ◽  
2018 ◽  
Vol 20 (10) ◽  
pp. 1948-1954 ◽  
Author(s):  
Gabrielle F Miller ◽  
Gery P Guy ◽  
Kun Zhang ◽  
Christina A Mikosz ◽  
Likang Xu

Abstract Objective The increased use of opioids to treat chronic pain in the past 20 years has led to a drastic increase in opioid prescribing in the United States. The Centers for Disease Control and Prevention’s (CDC’s) Guideline for Prescribing Opioids for Chronic Pain recommends the use of nonopioid therapy as the preferred treatment for chronic pain. This study analyzes the prevalence of nonopioid prescribing among commercially insured patients with chronic pain. Design Data from the 2014 IBM® MarketScan® databases representing claims for commercially insured patients were used. International Classification of Diseases, Ninth Revision, codes were used to identify patients with chronic pain. Nonopioid prescriptions included nonsteroidal anti-inflammatory drugs (NSAIDs), analgesics/antipyretics (e.g., acetaminophen), anticonvulsants, and antidepressant medications. The prevalence of nonopioid and opioid prescriptions was calculated by age, sex, insurance plan type, presence of a depressive or seizure disorder, and region. Results In 2014, among patients with chronic pain, 16% filled only an opioid, 17% filled only a nonopioid prescription, and 28% filled both a nonopioid and an opioid. NSAIDs and antidepressants were the most commonly prescribed nonopioids among patients with chronic pain. Having prescriptions for only nonopioids was more common among patients aged 50–64 years and among female patients. Conclusions This study provides a baseline snapshot of nonopioid prescriptions before the release of the CDC Guideline and can be used to examine the impact of the CDC Guideline and other evidence-based guidelines on nonopioid use among commercially insured patients with chronic pain.


Author(s):  
Lauren Gilstrap ◽  
Rishi K. Wadhera ◽  
Andrea M. Austin ◽  
Stephen Kearing ◽  
Karen E. Joynt Maddox ◽  
...  

BACKGROUND In January 2011, Centers for Medicare and Medicaid Services expanded the number of inpatient diagnosis codes from 9 to 25, which may influence comorbidity counts and risk‐adjusted outcome rates for studies spanning January 2011. This study examines the association between (1) limiting versus not limiting diagnosis codes after 2011, (2) using inpatient‐only versus inpatient and outpatient data, and (3) using logistic regression versus the Centers for Medicare and Medicaid Services risk‐standardized methodology and changes in risk‐adjusted outcomes. METHODS AND RESULTS Using 100% Medicare inpatient and outpatient files between January 2009 and December 2013, we created 2 cohorts of fee‐for‐service beneficiaries aged ≥65 years. The acute myocardial infarction cohort and the heart failure cohort had 578 728 and 1 595 069 hospitalizations, respectively. We calculate comorbidities using (1) inpatient‐only limited diagnoses, (2) inpatient‐only unlimited diagnoses, (3) inpatient and outpatient limited diagnoses, and (4) inpatient and outpatient unlimited diagnoses. Across both cohorts, International Classification of Diseases, Ninth Revision ( ICD‐9 ) diagnoses and hierarchical condition categories increased after 2011. When outpatient data were included, there were no significant differences in risk‐adjusted readmission rates using logistic regression or the Centers for Medicare and Medicaid Services risk standardization. A difference‐in‐differences analysis of risk‐adjusted readmission trends before versus after 2011 found that no significant differences between limited and unlimited models for either cohort. CONCLUSIONS For studies that span 2011, researchers should consider limiting the number of inpatient diagnosis codes to 9 and/or including outpatient data to minimize the impact of the code expansion on comorbidity counts. However, the 2011 code expansion does not appear to significantly affect risk‐adjusted readmission rate estimates using either logistic or risk‐standardization models or when using or excluding outpatient data.


Author(s):  
Jacopo Del Papa ◽  
Pierpaolo Vittorini ◽  
Francesco D’Aloisio ◽  
Mario Muselli ◽  
Anna Rita Giuliani ◽  
...  

The aim of this study was to investigate the injury patterns and the hospitalizations of patients who were admitted to hospital following the 2009 earthquake in the city of L’Aquila, Central Italy. To the best of our knowledge, this is the first study to analyze the patterns of earthquake-related injuries in Italy. We reviewed the hospital discharge data of 171 patients admitted to hospital within the following 96 h from the mainshock. This is an observational and descriptive study: We controlled for variables such as patient demographics, primary and secondary ICD-9-CM (International Classification of Diseases) diagnosis codes in order to identify the multiple injured patients, main type of injury that resulted in the hospital admission, discharge disposition, and average length of stay (LOS). Seventy-three percent of the 171 patients were admitted to hospital on the first day. Multiple injuries accounted for 52% of all trauma admissions, with a female to male ratio of 63% versus 37%. The most common type of injuries involved bone fractures (46.8%), while lower extremities were the most frequently affected sites (38.75%). The average LOS was 12.11 days. This study allows the evaluation of the impact of earthquake-related injuries in relation both to the health needs of the victims and to the use of the health care resources and assistance.


2020 ◽  
Vol 41 (12) ◽  
pp. 1461-1463
Author(s):  
Mohammed A. Alsuhaibani ◽  
Mohammed A. Alzunitan ◽  
Kyle E. Jenn ◽  
Michael B. Edmond ◽  
Angelique M. Dains ◽  
...  

AbstractWe performed a retrospective analysis of the impact of using the International Classification of Diseases, Tenth Revision procedure coding system (ICD-10) or current procedural terminology (CPT) codes to calculate surgical site infection (SSI) rates. Denominators and SSI rates vary depending on the coding method used. The coding method used may influence interhospital performance comparisons.


2008 ◽  
Vol 3 (3) ◽  
pp. 147-155 ◽  
Author(s):  
Truls Østbye, MD, PhD ◽  
Thyagi Ponnamperuma, MBBS ◽  
Nayana Fernando, MBBS, MSc ◽  
Vathsala Abeygunawardena, MSc ◽  
W.A.A. Wijayasiri, MBBS, MSc ◽  
...  

Objective: Sri Lanka’s human, physical, social, and economic resources suffered a massive impact after the tsunami of December 26, 2004. To assist in preparing for future disasters, the authors sought to characterize the pattern of hospitalizations from the main impact zone in the Southern Province.Design: Retrospective chart review.Setting: Patients admitted to Teaching Hospital, Karapitiya, the only tertiary care hospital in the Southern Province.Patients, Participants: All hospital admissions on the day of and week following the tsunami, and a random sample (5 percent) of admissions from the month preceding, and the 3 months following the tsunami were coded according to the International Classification of Diseases, 10th Edition, analyzed, and geomapped.Intervention: N/A.Main Outcome Measure(s): The overall daily number of hospitalizations increased by 50 percent on the day of the tsunami and decreased in the following week.Results: Before the tsunami, injuries typically accounted for 20 percent of hospital admissions. However, injuries were markedly higher (89 percent of the total) on the day of the tsunami and remained elevated (35 percent) during the following week. After the initial peak in injuries (including near drownings), there was no increase in the frequency of infectious, cardiac, or psychiatric admissions.Conclusions: Injuries (including near drownings) were the most common cause of admissions immediately after the tsunami.The distribution of specific diagnoses differed from that seen after other natural disasters such as earthquakes and hurricanes. A central aspect of disaster relief operations and planning includes a thorough understanding of the postdisaster health effects and changes in disease patterns.


2017 ◽  
Vol 7 (3) ◽  
pp. 213-219 ◽  
Author(s):  
David N. Bernstein ◽  
David Brodell ◽  
Yue Li ◽  
Paul T. Rubery ◽  
Addisu Mesfin

Study Design: Retrospective database analysis. Objective: The impact of the 2008-2009 economic downtown on elective lumbar spine surgery is unknown. Our objective was to investigate the effect of the economic downturn on the overall trends of elective lumbar spine surgery in the United States. Methods: The Nationwide Inpatient Sample (NIS) was used in conjunction with US Census and macroeconomic data to determine historical trends. The economic downturn was defined as 2008 to 2009. Codes from the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), were used in order to identify appropriate procedures. Confidence intervals were determined using subgroup analysis techniques. Results: From 2003 to 2012, there was a 19.8% and 26.1% decrease in the number of lumbar discectomies and laminectomies, respectively. Over the same time period, there was a 56.4% increase in the number of lumbar spinal fusions. The trend of elective lumbar spine surgeries per 100 000 persons in the US population remained consistent from 2008 to 2009. The number of procedures decreased by 4.5% from 2010 to 2011, 7.6% from 2011 to 2012, and 3.1% from 2012 to 2013. The R2 value between the number of surgeries and the S&P 500 Index was statistically significant ( P ≤ .05). Conclusions: The economic downturn did not affect elective lumbar fusions, which increased in total from 2003 to 2013. The relationship between the S&P 500 Index and surgical trends suggests that during recessions, individuals may utilize other means, such as insurance, to cover procedural costs and reduce out-of-pocket expenditures, accounting for no impact of the economic downturn on surgical trends. These findings can assist multiple stakeholders in better understanding the interconnectedness of macroeconomics, policy, and elective lumbar spine surgery trends.


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