scholarly journals Unravelling adolescent girls’ aspirations in Nepal: Status and associations with individual-, household-, and community-level characteristics

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0258416
Author(s):  
Dónya S. Madjdian ◽  
Kenda Cunningham ◽  
Hilde Bras ◽  
Maria Koelen ◽  
Lenneke Vaandrager ◽  
...  
Keyword(s):  
Adolescent Girls ◽  
Low Income ◽  
School Attendance ◽  
Well Being ◽  
Household Wealth ◽  
Ecological Zone ◽  
Community Characteristics ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
Individual Household

Background Adolescents’ aspirations have potential to influence their present and future well-being. Limited knowledge exists on adolescent girls’ aspirations and their determinants, particularly in low-income contexts. Methods and findings Using cross-sectional data, collected in 2018 in Nepal, within the Suaahara II Adolescent Panel Survey, (n = 840), adolescent girls’ aspirations in several domains—education, occupation, marriage, fertility, health, and nutrition–were described. Regression models were estimated to explore associations between individual, household and community characteristics and these aspirations for all adolescents and separately for younger (10–14 years) and older (15–19 years) girls. Age, school attendance, and self-efficacy, as well as household wealth, caste/ethnicity, size, and agro-ecological zone of residence were significantly associated with aspirations, although effect sizes and significance varied by aspiration domain and age group. Conclusions Findings underscore the curtailing effect of poverty on aspirations and the dynamic nature of aspirations. Initiatives to foster girls’ aspirations must address both individual and contextual factors.

Unemployment and Health: An Analysis of “Canada Health Survey” Data

1985 ◽  
Vol 15 (4) ◽  
pp. 609-635 ◽  
Author(s):  
Carl D'Arcy ◽  
C. M. Siddique
Keyword(s):  
Psychological Distress ◽  
Low Income ◽  
Emotional Health ◽  
Well Being ◽  
Health Impact ◽  
Health Problems ◽  
Cross Sectional ◽  
Physician Visits ◽  
Health Differences ◽  
The Unemployed

This paper provides a cross-sectional analysis of the physical and emotional well-being of employed and unemployed workers. The data used consists of a sub-sample ( N = 14,313) drawn from the Canada Health Survey's national probability sample ( N = 31,688). The analysis indicates substantial health differences between employed and unemployed individuals. The unemployed showed significantly higher levels of distress, greater short-term and long-term disability, reported a large number of health problems, had been patients more often, and used proportionately more health services. Consistent with these measures, derived from self-reported data, physician-diagnosed measures also indicate a greater vulnerability of unemployed individuals to serious physical ailments such as heart trouble, pain in heart and chest, high blood pressure, spells of faint-dizziness, bone-joint problems and hypertension. While these health differences between the employed and unemployed persisted across socio-economic and demographic conditions, further analysis indicated strong interaction effects of SES and demographic variables on the association of employment status with physical and emotional health. Females and older unemployed individuals reported more health problems and physician visits whereas the younger unemployed (under 40) reported more psychological distress. The blue-collar unemployed were found to be considerably more vulnerable to physical illness whereas the unemployed with professional background reported more psychological distress. The low-income unemployed who were also the principal family earners, were the most psychologically distressed. A regional look at the data showed that the low-income unemployed suffered the most in terms of depressed mood in each region of the country. It is apparent that unemployment and its health impact reflect the wider class-based inequalities of advanced industrial societies. The need for social policies that effectively reduce unemployment and the detrimental impact of unemployment is clear.

scholarly journals Wealth Inequality as a Predictor of Subjective Health, Happiness and Life Satisfaction among Nepalese Women

2018 ◽  
Vol 15 (12) ◽  
pp. 2836 ◽  
Author(s):  
Zhifei He ◽  
Zhaohui Cheng ◽  
Ghose Bishwajit ◽  
Dongsheng Zou
Keyword(s):  
Economic Status ◽  
Wealth Inequality ◽  
Well Being ◽  
Developed Countries ◽  
Subjective Health ◽  
Household Wealth ◽  
The Body ◽  
Status Report ◽  
Wealth Status ◽  
Cross Sectional

Socioeconomic status has shown to be associated with subjective health, well-being, satisfaction with overall life and estimation of happiness. The body of research concerning the question of whether higher economic status leads to better health and well-being are mostly from developed countries. The present study was therefore conducted among women in Nepal with an aim to investigate whether household wealth status is associated with satisfaction about (1) self-reported health, (2) happiness, and (3) life overall. Methods: Subjects were 5226 Nepalese women aged between 15 and 24 years. Cross-sectional data were extracted from round 5 of the Nepal Multiple Indicator Cluster Survey (NMICS), conducted in 2014, and analyzed using chi-square tests of association, bivariate and multivariable regression methods. Results: Wealth status was significantly associated with satisfaction about health, estimation of happiness and satisfaction. Compared with women in the poorest households, the odds of positive estimation about overall happiness were respectively 30% higher for poorer (p < 0.0001; 95% CI = 1.653–3.190), 80% higher for middle (p = 0.001; 95% CI = 1.294–2.522), 64% higher for richer (p = 0.006; 95% CI = 1.155–2.326), and 40% higher for richest households. The odds of reporting satisfaction about life were respectively 97% higher for poorer (p < 0.0001; 95% CI = 1.680–2.317), 41% higher for middle (p < 0.0001; 95% CI = 1.165–1.715), 62% higher for richer (p < 0.0001; 95% CI = 1.313–2.003), and 31% higher for richest households (p = 0.043; 95% CI = 1.008–1.700). Conclusion: Our results conclude that women in households with lower wealth status report poorer subjective health, quality of life and happiness. However, the findings need to be interpreted in light of the existing sociocultural conditions mediating the role of household wealth status on women’s lives.

scholarly journals PRESIDENTIAL SYMPOSIUM: HARNESSING SOCIAL NETWORKS TO OPTIMIZE ENVIRONMENTAL CONTEXTS FOR DIVERSE AGING EXPERIENCES

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S583-S583
Author(s):  
Philip A Rozario ◽  
Emily Greenfield ◽  
Nancy Kusmaul
Keyword(s):  
Older Adults ◽  
Social Networks ◽  
Social Relations ◽  
Low Income ◽  
Disaster Preparedness ◽  
Urban Areas ◽  
Well Being ◽  
Community Based ◽  
Cross Sectional ◽  
Senior Housing

Abstract Social networks provide opportunities for engagement with others and structure the receipt and provision of emotional, instrumental, informational and appraisal support. Indeed scholars in this field have documented the importance of having strong social networks in influencing older adults’ well-being and quality of life. The three papers in this symposium draw on the convoy model of social relations and ecological model to examine and better understand the micro, mezzo, macro contexts that shape and influence how older people engage with and benefit from their networks in three areas: low-income senior housing communities, urban areas specifically targeting older Latinos with dementia, and disaster preparedness in micropolitan counties in eastern Iowa. The first paper, a cross-sectional study focusing on social connections in senior housing communities, examines levels of social networks, engagement, support and loneliness and their relationship with well-being outcomes. The second paper, a community-based participatory research project, reports an intervention that seeks to train natural helpers in a predominantly Latino urban neighborhood to identify and refer older Latinos with dementia to bilingual assessment services. The third paper, synthesizing findings from interventions targeting network building at the individual and state levels as well as a community-based network analysis, presents ways to strengthen networks at the mezzo and macro levels as well as environmental contexts that enable better disaster preparedness for community-based older adults. These papers will consider practice, policy and research implications in strengthening social networks and engagement to optimize older adults’ well-being in various settings.

scholarly journals Efficacy of deep learning methods for predicting under-five mortality in 34 low-income and middle-income countries

BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e034524
Author(s):  
Adeyinka Emmanuel Adegbosin ◽  
Bela Stantic ◽  
Jing Sun
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Low Income ◽  
Maternal Education ◽  
Household Wealth ◽  
Secondary Outcome ◽  
Cross Sectional ◽  
Middle Income ◽  
Under Five ◽  
Middle Income Countries

ObjectivesTo explore the efficacy of machine learning (ML) techniques in predicting under-five mortality (U5M) in low-income and middle-income countries (LMICs) and to identify significant predictors of U5M.DesignThis is a cross-sectional, proof-of-concept study.Settings and participantsWe analysed data from the Demographic and Health Survey. The data were drawn from 34 LMICs, comprising a total of n=1 520 018 children drawn from 956 995 unique households.Primary and secondary outcome measuresThe primary outcome measure was U5M; secondary outcome was comparing the efficacy of deep learning algorithms: deep neural network (DNN); convolution neural network (CNN); hybrid CNN-DNN with logistic regression (LR) for the prediction of child’s survival.ResultsWe found that duration of breast feeding, number of antenatal visits, household wealth index, postnatal care and the level of maternal education are some of the most important predictors of U5M. We found that deep learning techniques are superior to LR for the classification of child survival: LR sensitivity=0.47, specificity=0.53; DNN sensitivity=0.69, specificity=0.83; CNN sensitivity=0.68, specificity=0.83; CNN-DNN sensitivity=0.71, specificity=0.83.ConclusionOur findings provide an understanding of determinants of U5M in LMICs. It also demonstrates that deep learning models are more efficacious than traditional analytical approach.

Association between socioeconomic status and comorbidities among patients with rheumatoid arthritis: results of a nationwide cross-sectional survey

Rheumatology ◽  
2019 ◽  
Vol 58 (9) ◽  
pp. 1617-1622 ◽  
Author(s):  
Anna Shin ◽  
Seunghwan Shin ◽  
Ji Hyoun Kim ◽  
You-Jung Ha ◽  
Yun Jong Lee ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Low Income ◽  
Suicide Ideation ◽  
Healthcare Services ◽  
Depressive Mood ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
Comprehensive Health ◽  
Musculoskeletal Systems

Abstract Objectives We examined the association between socioeconomic status (SES) and comorbidity distribution among patients with RA. Methods Information on comprehensive health status of 1088 RA patients (weighted n = 612 303) was obtained from the 2007–2015 Korea National Health and Nutrition Examination Survey database. SES components were household equivalence income, education and area of residence. To minimize confounding by age, patients were stratified by median age (63 years). Age-adjusted odds ratio (OR) with 95% confidence interval (95% CI) was estimated, comparing weighted prevalence of individual comorbidities between low and high SES groups in each age stratum. Results Among RA patients aged <63 years (mean 49 years, 70% female), we observed age-adjusted associations of depression (OR 2.13, 95% CI 1.01, 4.53), depressive mood (OR 2.68, 95% CI 1.54, 4.65), suicide ideation (OR 3.01, 95% CI 1.79, 5.07), diabetes (OR 3.09, 95%CI 1.31, 7.29), obesity (OR 2.04, 95% CI 1.30, 3.20), hypertriglyceridemia (OR 2.36, 95% CI 1.28, 4.34) and osteoarthritis (OR 2.12, 95% CI 1.13, 3.99) with low income, of suicide ideation with low education (OR 2.25, 95% CI 1.14, 4.44), but no association of any comorbidities with area of residence. Unhealthy behavior patterns were comparable between low- and high-income groups but patients with low income reported a numerically higher rate of failed access to necessary healthcare services. We did not find any association between SES and comorbidities among those aged ⩾63 years (mean 72 years, 83% female). Conclusion Among Korean RA patients aged <63 years, socioeconomic inequalities of multiple comorbidities in mental, cardiometabolic and musculoskeletal systems were found.

scholarly journals Depressive symptoms among Peruvian adult residents amidst a National Lockdown during the COVID-19 pandemic

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Daniel A. Antiporta ◽  
Yuri L. Cutipé ◽  
Maria Mendoza ◽  
David D. Celentano ◽  
Elizabeth A. Stuart ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Low Income ◽  
Well Being ◽  
Health Impact ◽  
Control Measures ◽  
Online Questionnaire ◽  
Mental Health Diagnosis ◽  
Cross Sectional ◽  
Health Diagnosis

Abstract Background Population health and well-being in Latin America, the current epicenter of the COVID-19 pandemic, has been severely affected during the past semester. Despite the growing evidence about the link between the pandemic, its control measures, and mental health worldwide, there is still no regional evidence of the potential mental health impact. We describe the prevalence and distribution of depressive symptoms across demographic and socioeconomic risk factors in the Peruvian population amidst a national lockdown during the COVID-19 pandemic. Methods Cross-sectional study conducted during the community transmission phase and national lockdown in Peru (May 4th–16th, 2020). We recorded 64,493 responses from adult Peruvian residents through an opt-in online questionnaire. All analyses were weighted using raking based on proportions of sociodemographic variables from the last Peruvian census in 2017. The prevalence of depressive symptoms was calculated using the Patient Health Questionnaire (PHQ-9) score of 10 or more. We identified associated demographic and socioeconomic factors by prior mental health diagnosis. Sensitivity analysis considered an alternative cut-off point for depressive symptoms of PHQ-9 ≥ 14. Results A total of 57,446 participants were included in the analytical sample. A third of the participants (n = 23,526, unweighted) showed depressive symptoms in the 2 weeks prior to the study. Participants who reported a previous mental health diagnosis doubled the sample prevalence of depressive symptoms (59, 95%CI 56.7, 61.4%) of those without a prior diagnosis. Psychosocial and functioning reactions were largely more prevalent among females and young adults. A dose-response relationship was found between household income and depressive symptoms across previous mental health diagnosis strata, being as low as 32% less in the wealthiest than the most impoverished group (PR: 0.68, 95%CI 0.58,0.79). Other critical factors associated with a higher burden of depressive symptoms were lower education level, single, unemployed, and chronic comorbidity. Conclusions An increased burden of depressive symptoms and psychosocial reactions has emerged during the COVID-19 pandemic in Peru compared to previous years. The mental health burden disproportionately affects women, the younger population, and those with low income and education. As the country eases the social distancing measures, it is crucial to use local evidence to adjust public health policies and mental health services to the renewed population needs.

scholarly journals Birth weight and childhood obesity: effect modification by residence and household wealth

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Helen Andriani
Keyword(s):  
Birth Weight ◽  
Childhood Obesity ◽  
Rural Area ◽  
Low Income ◽  
Secondary Analysis ◽  
Household Wealth ◽  
Z Score ◽  
Cross Sectional ◽  
Effective Prevention ◽  
Nationally Representative

Abstract Background There are both genetic and environmental factors which contribute to a child’s chances of being obese. When low birth weight (LBW) has been specifically evaluated relative to its association with childhood obesity, the results have produced conflicting findings. This study aims to describe the relationship between birth weight and childhood obesity and investigate the influence that residence and household wealth has on this relationship. Methods I performed a secondary analysis on the 2013 Riskesdas (or Basic Health Research), a cross-sectional, nationally representative survey of the Indonesian population. Height, weight, information regarding child’s birth weight, and basic characteristics of the study population were collected from parents with children aged 0 to 5 years (n = 63,237) in 2013. The exposure was child’s birth weight and the outcomes were child’s current weight, BMI z-score, and obesity. Data were analyzed by using multiple linear regression and multiple logistic regression. Results I found a significant increase in the weight, BMI z-score, and risk of childhood obesity to be associated with LBW. LBW children in rural area were associated with higher BMI z-score (mean ± standard error: 1.44 ± 0.02) and higher odds (odds ratio (95% confidence interval): 7.46 (6.77–8.23)) of obesity than those in urban area. LBW children from low class families were associated with higher BMI z-score (1.79 ± 0.04) and had higher odds (14.79 (12.47–17.54)) of obesity than those from middle class and wealthy families. Conclusions Effective prevention and intervention to childhood obesity as early as possible are imperative. As far as this study was concerned, efforts, policies, and targets are required to reduce the prevalence of LBW. Children born of LBW, who live in a rural area and from low income families, should be emphatically intervened as early as possible.

scholarly journals Public Policies, Women's Employment after Childbearing, and Child Well-Being

2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Elizabeth Washbrook ◽  
Christopher J Ruhm ◽  
Jane Waldfogel ◽  
Wen-Jui Han
Keyword(s):  
Low Income ◽  
Parental Leave ◽  
Public Policies ◽  
Well Being ◽  
Work Participation ◽  
Child Care Subsidies ◽  
Cross Sectional ◽  
Work Requirements ◽  
Maternal Work ◽  
Low Income Families

Abstract In this paper, we consider three U.S. public policies that potentially influence the work decisions of mothers of infants—parental leave laws, exemptions from welfare work requirements, and child care subsidies for low-income families. We estimate the effects of these policies on the timing of work participation after birth, and on a range of outcomes in the subsequent four years, using a group difference-in-difference technique suitable for analysis of cross-sectional data. We find that the three policies affect early maternal work participation, but obtain no evidence of significant consequences for child well-being.

scholarly journals COVID-19 and mental health: Anxiety disorders among immigrants due to COVID-19 outbreak in South Korea

2021 ◽  
pp. 009121742110426
Author(s):  
Shiva Raj Acharya ◽  
Deog Hwan Moon ◽  
Jin Ho Chun ◽  
Yong Chul Shin
Keyword(s):  
Mental Health ◽  
Anxiety Disorder ◽  
Anxiety Disorders ◽  
South Korea ◽  
Low Income ◽  
Well Being ◽  
Cross Sectional ◽  
The Government ◽  
The Impact ◽  
Severe Anxiety

Background The COVID-19 pandemic has affected various facets of health. While mental health became a major concern during the COVID-19 outbreak, the impact on the migrants’ mental health has still been neglected. The purpose of this study was to examine the COVID-19 outbreak's impact on the mental health of immigrants in South Korea. Methods A total number of 386 immigrants in South Korea participated in this quantitative cross-sectional study. The standardized e-questionnaire, including the General Anxiety Disorder (GAD-7) scale, was used to measure the anxiety level. Logistic regression analysis was performed to find out the determinants of anxiety disorders among immigrants. Results The prevalence of severe anxiety among immigrants was found to be 47.2%. Female immigrants (28.6%) had a lower anxiety disorder than males (71.4%). Immigrants who were married, living alone, had a low income, had a history of health problems were suffered from moderate to severe anxiety. Immigrants who were unemployed (OR 2.302, 95% CI = 1.353–3.917) and lost their jobs due to the COVID-19 outbreak (OR 2.197, 95% CI = 1.312–3.678) have a higher anxiety disorder. Immigrants aged over 30 years were found to suffer from a high level of anxiety (OR 2.285, 95% CI = 1.184–4.410). Relief support from the government was significantly associated with anxiety disorder among immigrants (p < 0.01, OR = 3.151, 95% CI = 1.962–5.061). Conclusion With very limited studies on immigrants’ mental health during the COVID-19 pandemic, this paper provides scientific research evidence of the COVID-19 outbreak's impact on the mental health of migrants. Our study has consequences for implementing integrated psychological interventions and health promotion strategies for the well-being of immigrants’ mental health.

scholarly journals Menstrual hygiene management practice among adolescent girls: a cross sectional study in Nepal

2021 ◽  
Vol 8 (7) ◽  
pp. 3331
Author(s):  
Koshish Raj Gautam ◽  
Harsha Raj Dahal ◽  
Kshitij Karki ◽  
Shradha Acharya ◽  
Suraksha Subedi ◽  
...  
Keyword(s):  
Adolescent Girls ◽  
Well Being ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Menstrual Hygiene ◽  
Menstrual Hygiene Management ◽  
Hygiene Management ◽  
Urban Adolescent ◽  
Urban Adolescent Girls

Background: Good menstrual hygiene is fundamental to health, hygiene and well-being of women and girls. As menstruation itself considered as taboo in Nepalese society, it has direct impacts on the health of the women and adolescent. The objective of the study is to assess the knowledge and practices regarding menstrual hygiene management among adolescent girls.Methods: A cross- sectional study design was conducted among 398 samples. Simple random sampling was done to select the resource center schools and probability proportionate sampling (PPS) technique used to get sample size. Structured interview schedule is used to collect data and analysed from SPSS software after validation.Results: Knowledge on menstrual hygiene management was good in urban adolescent girls (93.69%) as compared to rural (6.31%). Similarly, level of practice was good regarding menstrual hygiene management was good in urban adolescent girls (91.29%) as compared to rural (8.71%). Place of the residence and knowledge level of the adolescent girls was highly significant (p<0.001).Conclusions: The findings showed that rural adolescent girls had poor knowledge, various misconceptions and inadequate practices regarding menstrual hygiene management.

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