Pathways between health, education and income in adolescence and adulthood

2016 ◽  
Vol 101 (9) ◽  
pp. 825-831 ◽  
Author(s):  
Emily J Callander
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Physical Health ◽  
Household Income ◽  
Regression Models ◽  
Total Effect ◽  
Education Attainment ◽  
Physical And Mental Health ◽  
Level Of Education ◽  
The Impact

ObjectiveTo quantify the impact of household income, and physical and mental health in adolescence on education attainment, household income and health status in adulthood.DesignPath analysis and regression models using waves 1–12 of theHousehold, Income and Labour Dynamics in Australiasurvey.ParticipantsIndividuals aged 17 or 18 in 2001, 52% were males (n=655) and 48% were female (52%). Of those participating in wave 1, five did not respond in wave 12.Main outcome measuresEducation attainment, household income, physical and mental health at age 29/30.ResultsFor females, physical health at age 17/18 was significantly related to level of education attainment at age 29/30 (standardised total effect 0.290, p<0.001), with this influence being greater in magnitude than that of household income at age 17/18 on level of education attainment at age 29/30 (standardised total effect 0.159, p=0.022). Females' physical health at age 17/18 was also significantly related to household income at age 29/30 (standardised total effect 0.09, p=0.018). Both adjusted for initial household income at age 17/18. For males, the total standardised total effect of physical health at age 17/18 had a greater impact than household income at age 17/18 on education attainment at age 29/30 (0.347, p<0.001 for physical health and 0.276, p<0.001 for household income). The OR of achieving a year 12 or higher level of education attainment was 4.72 (95% CI 1.43 to 15.58, p=0.0110) for females with good physical health at age 17/18 and 5.05 (95% CI 1.78 to 14.36, p=0.0024) for males, compared with those with poor physical health at age 17/18.ConclusionsAs physical health in adolescence appears to have a stronger influence on education attainment in adulthood than household income, equity strategies for education attainment should also target those with poor health.

scholarly journals Loneliness and Mental Health: Recommendations for Primary Care Intakes

2021 ◽  
Vol 12 ◽  
pp. 215013272110271
Author(s):  
Marissa Godfrey ◽  
Pi-Ju Liu ◽  
Aining Wang ◽  
Stacey Wood
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Physical Health ◽  
Social Integration ◽  
Health Survey ◽  
Household Income ◽  
Regression Models ◽  
Physical Health Status ◽  
Health Measures ◽  
Mental And Physical Health

Introduction/Objectives The healthcare intake process plays a significant role in informing medical personnel about patients’ demographic information, subjective health status, and health complaints. Intake forms can help providers personalize care to assist patients in getting proper referrals and treatment. Previous studies examined factors that could be included in intake forms independently, but this study analyzed loneliness, religiousness, household income, and social integration together to see how the combined effect influences mental and physical health status. This study aims to determine which of those 4 variables better inform patients’ mental versus physical health status. Methods One hundred and seventy-nine participants completed surveys, including the SF-12® Health Survey, measuring perceived physical and mental health, UCLA 3-item Loneliness Scale, and a demographics questionnaire with questions about household income and time spent dedicated to religious practice, if applicable. Additionally, individuals answered social integration questions about how often they contact close family and friends or volunteer in the community. Using loneliness, household income, religiousness, social integration as independent variables, and controlling for demographic variables such as age, gender, and race, 2 regression models were built with Mental and Physical Health Composite Scores from the the SF-12® Health Survey as dependent variables. Results Loneliness was associated with mental health measures ( b = −2.190, P < .001), while household income was associated with physical health measures ( b = 0.604, P = .019) above and beyond other variables in the regression models. Conclusions Integrating the 3 loneliness questions into intake forms can help approximate an individual’s mental health status. This would allow the provider to be able to assess mental health problems more effectively and provide needed resources.

scholarly journals Childhood familial environment and adulthood depression: evidence from a Chinese population-based study

2019 ◽  
Vol 12 (4) ◽  
pp. 299-316
Author(s):  
Qin Zhou ◽  
Zhichao Yin ◽  
Wei Wu ◽  
Ning Li
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Health Status ◽  
Physical Health ◽  
Economic Status ◽  
Depression Scale ◽  
Public Health Issue ◽  
Physical And Mental Health ◽  
Familial Environment ◽  
The Impact

Abstract Background Mental disorders have become an important public health issue and evidence is lacking on the impact of childhood experience on adulthood mental health in regions of low and middle income. Using national representative data from the China Health and Retirement Longitudinal Study, we aimed to explore the impact of childhood familial environment on adulthood depression. Methods A total of 19 485 subjects were interviewed. The survey collected information on demographic variables, variables of childhood familial environment and potential pathway variables, including childhood health status, adulthood physical health status, adulthood social support and adulthood socio-economic status (SES). Depressive symptoms were measured by the 10-item version of the Center for Epidemiological Studies Depression Scale. Results Parents’ physical and mental health during the subjects’ childhood were significantly associated with adulthood mental health. Mothers’ smoking, unfair treatment and low family SES were associated with higher depressive symptoms in adulthood. Childhood physical and mental health status, adulthood physical health and adulthood SES might be important mediators in the pathways of childhood familial environment affecting adulthood depressive symptoms. Conclusions This study is the first to explore the relationship of childhood familial environment and adulthood depression in China. The results indicate that parents’ physical and mental health, health behaviour and treatment equity among children a important predictors for adult depression.

scholarly journals Beta Inflated Regression Models on the Physical and Mental Health of Nigerian Stroke Survivors

2021 ◽  
Vol 7 (3) ◽  
pp. 302-312
Author(s):  
KS Oritogun ◽  
OO Oyewole
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Blood Pressure ◽  
Health Risk ◽  
Physical Health ◽  
Regression Models ◽  
Outcome Variable ◽  
Stroke Survivors ◽  
Physical And Mental Health ◽  
Health Risk Factors

Background: Stroke is one of the major public health problems worldwide. Physical and mental health data of stroke survivors are often expressed in proportions. Therefore, the Beta Regression models family for data between zero and one will be appropriate. Objectives: To identify a suitable model and the likely risk factors of physical and mental health of stroke survivors. Method: Secondary data of stroke survivors from two tertiary health Institutions in Ogun State, Nigeria, were analysed. Inflated Beta (BEINF) and Inflated-at-one-Beta (BEINF1) models were compared using Deviance (DEV), Akaike Information Criterion (AIC) and Bayesian Information Criteria (BIC) for model selection. The model with minimum DEV, AIC and BIC was considered to be better. Results: The deviance (-86.0604,), AIC (-46.0604) and BIC (6.4391) values of the BEINF1 model for physical health and the deviance (-20.1217), AIC (19.8783) and BIC (72.3778) values of BEINF1 model for mental health were smaller than BEINF models. Therefore, BEINF1 was the better model to identify the health risk factors of stroke survivors. Age, marital status, diastolic blood pressure, disability duration and systolic blood pressure had a significant association with physical health, while BMI had a significant positive association with mental health.  Conclusion: The beta-inflated-at-one (BEINF1) model is suitable for identifying health risk factors of stroke survivors when the outcome variable is a proportion. Both demographic and clinical characteristics were significantly associated with the health of stroke survivors. This study would assist researchers in knowing the appropriate model for analysing proportion or percentage response variables.

scholarly journals What Can We Obtain from Mental Health Care? The Dynamics of Physical and Mental Health

2019 ◽  
Vol 16 (17) ◽  
pp. 3098
Author(s):  
Sung-Joo Yoon
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Physical Health ◽  
Health Condition ◽  
Physical And Mental Health ◽  
Additional Information ◽  
Mental Problems ◽  
Physical Health Problems ◽  
The Impact

This study analyzes the dynamic interaction of an individual’s physical and mental health using the German Socio-Economic Panel and the Cross-National Equivalent File of Germany. Its main objective is to find a way to reduce people’s health expenditure by examining the magnitude of the interdependence between physical and mental health. For the analysis, this study develops a dynamic correlated random effects model. We create two aggregate health measures (aggregate physical health and aggregate mental health) with four submeasures each, which provides a better understanding of changes in an individual’s health status by capturing additional information that cannot be analyzed at the aggregate level. There is clear evidence that the persistence of a mental health condition is less than that of a physical health condition. Moreover, the impact of previous mental health on current physical health is greater than that of previous physical health on current mental health. This suggests that individuals can reduce their expenditures on physical health problems by focusing on the treatment of mental problems when they first arise. Finally, the Government’s attention and support toward mental health care would lead to a reduction in health expenditures and eventually improve the sustainability of the nation’s health system.

scholarly journals An Assessment of Long-Term Physical and Emotional Quality of Life of Persons Injured on 9/11/2001

2019 ◽  
Vol 16 (6) ◽  
pp. 1054 ◽  
Author(s):  
Robert Brackbill ◽  
Howard Alper ◽  
Patricia Frazier ◽  
Lisa Gargano ◽  
Melanie Jacobson ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Health Status ◽  
Physical Health ◽  
Injury Severity ◽  
Mental Health Status ◽  
Physical And Mental Health ◽  
Component Score

Fifteen years after the disaster, the World Trade Center Health Registry (Registry) conducted The Health and Quality of Life Survey (HQoL) assessing physical and mental health status among those who reported sustaining an injury on 11 September 2001 compared with non-injured persons. Summary scores derived from the Short Form-12 served as study outcomes. United States (US) population estimates on the Physical Component Score (PCS-12) and Mental Component Score (MCS-12) were compared with scores from the HQoL and were stratified by Post-traumatic Stress Disorder (PTSD) and injury status. Linear regression models were used to estimate the association between both injury severity and PTSD and PCS-12 and MCS-12 scores. Level of injury severity and PTSD history significantly predicted poorer physical health (mean PCS-12). There was no significant difference between injury severity level and mental health (mean MCS-12). Controlling for other factors, having PTSD symptoms after 9/11 predicted a nearly 10-point difference in mean MCS-12 compared with never having PTSD. Injury severity and PTSD showed additive effects on physical and mental health status. Injury on 9/11 and a PTSD history were each associated with long-term decrements in physical health status. Injury did not predict long-term decrements in one’s mental health status. Although it is unknown whether physical wounds of the injury healed, our results suggest that traumatic injuries appear to have a lasting negative effect on perceived physical functioning.

The Impact of Variable Factors on the Health-Related Quality of Life in the Elderly in Japan and Russia

2020 ◽  
Vol 13 (2) ◽  
pp. 119-128
Author(s):  
Kirill Kosilov ◽  
Hiroki Amedzawa ◽  
Irina Kuzina ◽  
Vladimir Kuznetsov ◽  
Liliya Kosilova
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Physical Health ◽  
The Elderly ◽  
Physical And Mental Health ◽  
Factors Affecting ◽  
Living Together ◽  
Elderly Japanese ◽  
The Impact

Aim: The study of the impact of socio-economic, demographic factors and polymorbidity on the quality of life associated with health (HRQoL) in elderly people from Japan and Russia. Background: Factors affecting the quality of life of the elderly in both countries are poorly understood. Objective: Make a comparative analysis of factors affecting the quality of life of the elderly of both sexes in Japan and Russia. Methods: The age range in this study is 65-95 years old. For the study of HRQoL, a questionnaire Health Status Survey-Short Form 36v2 was used, including two main domains: physical and mental health. The level of polymorbidity was studied using CIRS-G. The linear regression model of the influence of variables upon HRQoL was calculated for SES, demographic characteristics, and morbidity. Results: Strong associations with HRQoL in the combined sample had a living together with relatives (r=6.94 (5.17-8.72) p<0,05), the incidence rate (r=8.50 (5.51-11.49), p<0.01) and the older age (r=5.39 (2.63-8.16), p<0,01.). The elderly inhabitants of Japan had a higher self-assessment for physical health in the age ranges 65-74 and over 85 years old (p<0.05), and a higher selfassessment of mental health at the age of 75-84 years old. Sixty-eight elderly Japanese and 48% Russians estimated their physical health as normal. Conclusion: The effect of living together, morbidity and age upon HRQoL is manifested equally strongly both among the inhabitants of Japan and among the Russians. The elderly Japanese estimate the state of physical and mental health as a whole higher than their Russian peers.

scholarly journals THE ROLE OF SENSE OF COMMUNITY IN CHANGING THE HEALTH-PROMOTING EFFECT OF BUILT ENVIRONMENT: A COMMUNITY SURVEY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S278-S279
Author(s):  
Jennifer Y M Tang ◽  
Cheryl Chui ◽  
Tuen Yi Chiu ◽  
Rebecca Chiu ◽  
Vivian W Lou ◽  
...  
Keyword(s):  
Mental Health ◽  
Built Environment ◽  
Physical Health ◽  
Sense Of Community ◽  
Subjective Feeling ◽  
Physical And Mental Health ◽  
Outdoor Spaces ◽  
Outdoor Space ◽  
The Impact

Abstract Previous research that studies the impact of built environment on health often attribute the enabling effects of environment on physical activity participation and opportunities for social interaction. Few studies have explored how the role of subjective feeling, such as the feeling of connectedness with the community, affects the association between built environment and physical and mental health. We conducted a cross-sectional survey with 2,247 residents aged 50 years or above in five districts in Hong Kong. We tested the mediation effect of sense of community in the relationship between physical environment and health using the path analysis. We administered a questionnaire to assess the residents’ perceived age-friendliness of outdoor spaces and buildings in the district. We used the Brief Sense of Community Scale and the 12-item Short-form Health Survey to measure sense of community and physical and mental health. We found that age-friendliness of outdoor spaces was modestly correlated with mental health (r = 0.10, P &lt; 0.001) but not with physical health (r = 0.02, P = 0.4), whereas age-friendliness of buildings correlated with both (r = 0.05, P = 0.01; r = 0.06, P = 0.004). Sense of community mediated 25.9% of the total effect between outdoor space and physical health, 20.4% between outdoor space and mental health, and 42.5% between service and building on physical health. To conclude, sense of community was a partial mediator of the environment-health relationship. Future design of built environment should take into consideration its potential influence on sense of community and health.

scholarly journals The Impact of Community Size, Community Climate, and Victimization on the Physical and Mental Health of SGM Youth

2019 ◽  
Vol 52 (3) ◽  
pp. 427-448
Author(s):  
Megan S. Paceley ◽  
Jessica N. Fish ◽  
Margaret M. C. Thomas ◽  
Jacob Goffnett
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Physical Health ◽  
Online Survey ◽  
Community Context ◽  
Physical And Mental Health ◽  
Community Size ◽  
Health Community ◽  
The Impact ◽  
Community Climate

Sexual and gender minority (SGM) youth experience high rates of victimization leading to health disparities. Community size and community climate are associated with health outcomes among SGM youth; however, we lack studies that include them as covariates alongside victimization to understand their collective impact on health. This study utilized minority stress theory to understand how community context shapes experiences of victimization and health among SGM youth. SGM youth in one Midwestern U.S. state completed an online survey ( n = 201) with measures of physical health, mental health, community context, and victimization. Data were analyzed via multiple regression using a path analysis framework. Results indicate that perceived climate was associated with mental, but not physical, health; Community size was unrelated to health outcomes. Victimization mediated the association between community climate and mental health. Findings are discussed in light of current literature and implications for research and practice are shared.

scholarly journals The impact of COVID-19 on Bangladeshi readymade garment (RMG) workers

2020 ◽  
Author(s):  
Humayun Kabir ◽  
Myfanwy Maple ◽  
Kim Usher
Keyword(s):  
Mental Health ◽  
Supply Chain ◽  
Health Status ◽  
Global Supply Chain ◽  
Health Issues ◽  
Physical And Mental Health ◽  
Employment Opportunities ◽  
Garment Workers ◽  
Potential Impact ◽  
The Impact

Abstract This paper describes the potential impact of the coronavirus disease 2019 (COVID-19) pandemic on the readymade garment (RMG) workers of Bangladesh. It articulates the RMG workers’ existing vulnerability during the COVID-19 pandemic based on currently available evidence and personal conversations/communications with RMG workers. COVID-19 has already impacted RMG workers’ health (both physical and mental health status) and wellbeing, and resulted in loss of employment. We argue that the COVID-19 pandemic will have long-lasting effects on the garment workers, especially related to their health issues, financial hardship and inability to pay for essentials such as food, and future employment opportunities. The stakeholders (such as the international retailers/brands, Bangladesh Garment Manufacturers and Exporters Association, Government of Bangladesh) responsible for the global supply chain RMG factories should reconsider the health and overall wellbeing needs of the RMG workers during the ongoing COVID-19 pandemic.

Mental Health Screenings: Practices and Patterns of These and Other Health Screenings in U.S. School Districts

2021 ◽  
pp. 105984052110566
Author(s):  
Ellen M. McCabe ◽  
Beth E. Jameson ◽  
Shiela M. Strauss
Keyword(s):  
Mental Health ◽  
School Districts ◽  
Physical Health ◽  
School Health ◽  
Health Screening ◽  
Mental Health Screening ◽  
Family Counseling ◽  
Physical And Mental Health ◽  
Health Screenings ◽  
The Impact

Schools’ health screenings can identify students’ missed health concerns. Data from the 2016 School Health Policies and Practices Study were used to determine the proportion of U.S. school districts with physical and mental health screening policies and the proportion that arrange off-campus mental health services. We also examined differences between districts with and without mental health screening policies regarding having physical health screening policies, patterns of these policies, and off-campus mental health service arrangements. Eleven percent of districts had no policies on any of the four physical health screenings assessed, and 87% lacked policies on mental health screenings, the latter especially concerning considering the impact of COVID-19. Districts with policies on mental health screenings were significantly more likely to have body mass index ( p < .01) and oral health ( p < .001) screening policies, and to arrange for off-campus case management ( p < .001), family counseling ( p < .05), group counseling ( p < .01), self-help ( p < .05) and intake evaluation ( p < .05).

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