scholarly journals Physical and mental health of young people with and without intellectual disabilities: cross-sectional analysis of a whole country population

2017 ◽  
Vol 61 (10) ◽  
pp. 984-993 ◽  
Author(s):  
G. Young-Southward ◽  
E. Rydzewska ◽  
C. Philo ◽  
S.-A. Cooper
Keyword(s):  
Mental Health ◽  
Young People ◽  
Intellectual Disabilities ◽  
Physical And Mental Health ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

scholarly journals Health quality of retired Royal New Zealand Navy personnel: A cross-sectional analysis

2021 ◽  
pp. 197-202
Author(s):  
King Doug ◽  
Hume Patria A ◽  
Clark Trevor N ◽  
Gissane Conor
Keyword(s):  
Mental Health ◽  
New Zealand ◽  
Bodily Pain ◽  
Physical And Mental Health ◽  
Cross Sectional ◽  
Training Requirements ◽  
Cross Sectional Analysis ◽  
Health Quality ◽  
Sectional Analysis

Purpose: To characterise the current health quality of retired Royal New Zealand Navy (RNZN) personnel. Methods: A Cross-sectional analysis of self-reported survey data was conducted. A total of 300 retired RNZN personnel completed a Health-Related Quality of Life (HRQOL) survey on-line using the SF-36v2 to assess physical and mental health domains. The Physical Component Summary [PCS] combined Physical Function (PF), Role Physical (RP), Bodily Pain (BP) and General Health (GH) subscales. The Mental Component Summary [MCS] combined Vitality (VT), Social Functioning (SF), Role Emotional (RE) and Mental Health (MH) subscales. Analysis by age, gender, ethnicity, and rank were conducted for the subscale results. Comparisons of the RNZN cohort with the 1998 US National and New Zealand 2006-2007 health surveys were made. Results: New Zealand Europeans (NZE) recorded a higher mean RP and PCS than New Zealand Māori (NZM) (RP: 66.9 vs. 54.9; t(46)=-2.2; p=0.0294; d=0.50; PCS: 68.9 vs. 65.7; t(46)=-2.3; p=0.0267; d=0.47). Senior Rates recorded a higher MH (69.5 vs. 66.2; t(19)=-1.1; p=0.0568; d=0.35) but a lower PCS (65.0 vs. 65.6; t(19)=0.6;p=0.0681 d=0.07) and MCS (59.2 vs. 59.4; t(19)=-1.4; p=0.0865; d=0.46) than Officers. Compared with the New Zealand 2006-2007 health survey, the retired RNZN cohort had a lower RP (58.0 vs. 85.7; d=1.14), BP (42.6 vs. 75.3; d=1.51), SF (59.8 vs. 88.4; d=1.85) and MH (68.5 vs. 82.3; d=1.28). Conclusion: The lower HRQOL subscales results (especially BP) for retired RNZN personnel compared to the general population and other service personnel indicates a need for more research to understand the potential reasons for these findings. The effects of the lifestyle and training requirements combined with the entry selection of healthy people into the navy may have impacted on the results reported in this survey.

scholarly journals Association between food insecurity and access to a mental health professional: cross-sectional analysis of NHANES 2007–2014

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nina Camille Burruss ◽  
Marina Girgis ◽  
Karen Elizabeth Green ◽  
Lingyi Lu ◽  
Deepak Palakshappa
Keyword(s):  
Mental Health ◽  
Health Professional ◽  
Food Insecurity ◽  
Mental Health Professional ◽  
The United States ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
The Past ◽  
Cross Sectional Analysis ◽  
Sectional Analysis

Abstract Background To determine if individuals with food insecurity (FI) were less likely to have seen a mental health professional (MHP) within the past year than individuals without FI. Methods This is a cross-sectional analysis of data from the National Health and Nutrition Examination Survey (NHANES) conducted in the United States between 2007 and 2014. All participants 20 years of age or older were eligible for this study. We excluded participants who were pregnant, missing FI data, or missing data from the Patient Health Questionnaire (PHQ-9). The primary outcome was self-reported contact with a MHP in the past 12 months. We used multivariable logistic regression models to test the association between FI and contact with a MHP, controlling for all demographic and clinical covariates. Results Of the 19,789 participants, 13.9% were food insecure and 8.1% had major depressive disorder (MDD). In bivariate analysis, participants with FI were significantly more likely to have MDD (5.3% vs 2.8%, p < 0.0001) and to have been seen by a MHP in the preceding 12 months (14.0% vs 6.9%, p < 0.0001). In multivariable models, adults with FI had higher odds of having seen a MHP (OR = 1.32, CI: 1.07, 1.64). Conclusions This study demonstrates that individuals with FI were significantly more likely to have seen a MHP in the preceding 12 months compared to individuals without FI. Given the growing interest in addressing unmet social needs in healthcare settings, this data suggests that visits with MHPs may be a valuable opportunity to screen for and intervene on FI.

scholarly journals Dual Use of a Patient Portal and Clinical Video Telehealth by Veterans with Mental Health Diagnoses: Retrospective, Cross-Sectional Analysis (Preprint)

2018 ◽  
Author(s):  
Erica A Abel ◽  
Stephanie L Shimada ◽  
Karen Wang ◽  
Christine Ramsey ◽  
Melissa Skanderson ◽  
...  
Keyword(s):  
Mental Health ◽  
Low Income ◽  
Technology Use ◽  
Patient Portal ◽  
Health Administration ◽  
Dual Use ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Mental Health Diagnoses ◽  
Sectional Analysis

BACKGROUND Access to mental health care is challenging. The Veterans Health Administration (VHA) has been addressing these challenges through technological innovations including the implementation of Clinical Video Telehealth, two-way interactive and synchronous videoconferencing between a provider and a patient, and an electronic patient portal and personal health record, My HealtheVet. OBJECTIVE This study aimed to describe early adoption and use of My HealtheVet and Clinical Video Telehealth among VHA users with mental health diagnoses. METHODS We conducted a retrospective, cross-sectional analysis of early My HealtheVet adoption and Clinical Video Telehealth engagement among veterans with one or more mental health diagnoses who were VHA users from 2007 to 2012. We categorized veterans into four electronic health (eHealth) technology use groups: My HealtheVet only, Clinical Video Telehealth only, dual users who used both, and nonusers of either. We examined demographic characteristics and mental health diagnoses by group. We explored My HealtheVet feature use among My HealtheVet adopters. We then explored predictors of My HealtheVet adoption, Clinical Video Telehealth engagement, and dual use using multivariate logistic regression. RESULTS Among 2.17 million veterans with one or more mental health diagnoses, 1.51% (32,723/2,171,325) were dual users, and 71.72% (1,557,218/2,171,325) were nonusers of both My HealtheVet and Clinical Video Telehealth. African American and Latino patients were significantly less likely to engage in Clinical Video Telehealth or use My HealtheVet compared with white patients. Low-income patients who met the criteria for free care were significantly less likely to be My HealtheVet or dual users than those who did not. The odds of Clinical Video Telehealth engagement and dual use decreased with increasing age. Women were more likely than men to be My HealtheVet or dual users but less likely than men to be Clinical Video Telehealth users. Patients with schizophrenia or schizoaffective disorder were significantly less likely to be My HealtheVet or dual users than those with other mental health diagnoses (odds ratio, OR 0.50, CI 0.47-0.53 and OR 0.75, CI 0.69-0.80, respectively). Dual users were younger (53.08 years, SD 13.7, vs 60.11 years, SD 15.83), more likely to be white, and less likely to be low-income than the overall cohort. Although rural patients had 17% lower odds of My HealtheVet adoption compared with urban patients (OR 0.83, 95% CI 0.80-0.87), they were substantially more likely than their urban counterparts to engage in Clinical Video Telehealth and dual use (OR 2.45, 95% CI 1.95-3.09 for Clinical Video Telehealth and OR 2.11, 95% CI 1.81-2.47 for dual use). CONCLUSIONS During this study (2007-2012), use of these technologies was low, leaving much potential for growth. There were sociodemographic disparities in access to My HealtheVet and Clinical Video Telehealth and in dual use of these technologies. There was also variation based on types of mental health diagnosis. More research is needed to ensure that these and other patient-facing eHealth technologies are accessible and effectively used by all vulnerable patients.

Sign in / Sign up

Export Citation Format

Share Document