Sexual Violence as a Key Predictor of Depressive Symptoms in Women: Korean Longitudinal Survey of Women and Families

2022 ◽  
pp. 107780122110680
Author(s):  
Young-taek Kim ◽  
Chiyoung Cha ◽  
Mi-ran Lee

The purpose of this study was to identify the influence of violence on depressive symptoms in women. We analyzed panel data from the Korean Longitudinal Survey of Women and Families ( n  =  6,632). Exposure to sexual violence was a significant predictor of the onset of depressive symptoms. After adjusting for all covariates, other predictors included the perception of a poor or very poor health status than normal and participants in their 40s and 50s versus participants younger than 40 years. Assessing exposure to sexual violence might be beneficial for evaluating depressive symptoms in women who are newly diagnosed with depression.

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M L Chung ◽  
S J Lee ◽  
D K Moser ◽  
R B King

Abstract Background Depressive symptoms are a substantial psychological problem in caregivers of stroke survivors, but there is limited knowledge about the trajectory of depressive symptoms and the consequence in longitudinal study. The purposes of this study were to (1) identify patterns for trajectory of depressive symptoms in caregivers who provided caregiving for stroke survivors for 1 year post-discharge, and (2) examine associations of depressive symptom trajectories with caregivers' burden, family function, social support, and health status over time. Methods In this secondary analysis of a longitudinal study, caregivers of stroke survivors completed a survey at post-discharge and 1 year follow up. Depressive symptoms were assessed using the Center for Epidemiologic Studies-Depression scale (CES-D). Caregiving burden, family function, and social support were assessed using the Zarit Burden Interview, the Family Assessment Device, and the Interpersonal Support Evaluation List. Health status was assessed using two items from the SF-36. Pattern of depressive symptom trajectory (i.e., symptom-free, symptom improved, symptom developed, and persistent symptom) were identified by the presence of depressive symptoms (CES-D ≥16) at post-discharge and 1 year follow up. ANOVA, and multinomial logistic regression were used. Results Of the 102 caregivers (mean age=58 years, 66% female), 32.4% experienced depressive symptoms at post-discharge; 30.4% experienced depressive symptoms at 1-year follow up. During the first year of the caregiving experience, 57.8% of caregivers were symptom-free but 20.6% experienced persistent depressive symptoms; 11.8% had improved depressive symptoms, and 9.8% developed depressive symptoms. Caregivers with persistent depressive symptoms reported the highest level of burden (p<0.001), and the lowest levels of family function (p=0.02) and interpersonal support (p=0.0001) among the 4 groups at post-discharge and the results were unchanged at 1 year follow up. Furthermore, 33% of caregivers with persistent depressive symptoms reported their health as fair or poor at 1 year follow up and 42% of them reported their health became worse at 1 year follow up. Caregivers who developed depressive symptoms had the 2nd lowest score of interpersonal support (p=0.047) at 1 year follow up. Compared to symptom-free caregivers, caregivers with persistent depressive symptoms were 7 times more likely to have fair or poor health at 1 year follow up (95% CI, 1.55–32.87, p=0.012). Conclusions Trajectory of depressive symptoms was associated with caregiving burden, family function, and interpersonal support. The persistence of depressive symptoms is substantial for caregivers of stroke survivors and they are at high risk to have poor health status at 1 year of caregiving. Management of depressive symptoms at the early caregiving stage may be beneficial to prevent the development and persistence of depressive symptoms in caregivers of stroke survivors. Acknowledgement/Funding National Institute for Nursing Research R01NR02416


2020 ◽  
pp. 1-11
Author(s):  
Yaofei Xie ◽  
Mengdi Ma ◽  
Wenwen Wu ◽  
Yupeng Zhang ◽  
Yuting Zhang ◽  
...  

ABSTRACT Objectives: To establish a structural equation model for exploring the direct and indirect relationships of depressive symptoms and their associated factors among the Chinese elderly population. Design: A cross-sectional research. The 2015 data from the China Health and Retirement Longitudinal Study (CHARLS) were adopted. Setting: CHARLS is an ongoing longitudinal study assessing the social, economic, and health status of nationally representative samples of middle-aged and elderly Chinese residents. Participants: A total of 5791 participants aged 60 years and above were included. Measurements: Depressive symptoms were used as the study outcome. Sociodemographic characteristics, poor health status, unhealthy habits, and sleep duration were used as predictors. Confirmatory factor analysis was first conducted to test the latent variables. Structural equation model was then utilized to examine the associations among latent variables and depressive symptoms. Results: The mean age of the participants was 68.82 ± 6.86 years, with 55.53% being males. The total prevalence of depressive symptoms was 37.52%. The model paths indicated that sociodemographic characteristics, poor health status, unhealthy habits, and sleep duration were directly associated with depressive symptoms, and the effects were 0.281, 0.509, −0.067, and −0.162, respectively. Sociodemographic characteristics, unhealthy habits, and sleep duration were indirectly associated with depressive symptoms, mediating by poor health status. Their effects on poor health status were −0.093, 0.180, and −0.279, respectively. All paths of the model were significant (P < 0.001). The model could explain 40.9% of the variance in the depressive symptoms of the Chinese elderly population. Conclusions: Depressive symptoms were significantly associated with sociodemographic characteristics, poor health status, unhealthy habits, and sleep duration among Chinese elderly population. The dominant predictor of depressive symptoms was poor health status. Targeting these results might be helpful in rationally allocating health resources during screening or other mental health promotion activities for the elderly.


2000 ◽  
Vol 32 (2) ◽  
pp. 191-206 ◽  
Author(s):  
KIRSTY MCNAY

Indirect estimates of maternal mortality in India indicate that fertility decline has reduced maternal deaths by reducing the frequency of pregnancy and childbirth. The earlier stages of fertility decline are also likely to have lowered maternal mortality by reducing the risk of pregnancy and childbirth as the proportion of births among risky multiparous, older women declines. However, further fertility decline may well be associated with some increase in risk. Risk will also remain high if the health status of Indian girls and women remains poor. This study uses a sample of maternal deaths and deliveries among patients who survived which occurred in Civil Hospital, Ahmedabad, Gujarat during 1982–1993 to investigate these issues further. The women in the sample have relatively low fertility and represent a fairly late stage of fertility decline. They also have persistently poor health status. Logit regression analysis reveals that although fertility decline is associated with some increase in risk, poor health status is the more important maternal mortality risk factor. Without attention to female health, even childbearing among expectant mothers with low fertility continues to be hazardous.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Antoine Christiaens ◽  
Benoit Boland ◽  
Marie Germanidis ◽  
Olivia Dalleur ◽  
Séverine Henrard

Abstract Background Glucose-lowering therapy (GLT) should be individualized in older patients with type 2 diabetes (T2D) according to their health status and their life expectancy. This study aimed at assessing the inappropriateness of GLT prescribing and the one-year mortality rate in geriatric patients with T2D. Methods Retrospective cohort study of consecutive inpatients with T2D admitted to a geriatric ward of a Belgian university hospital. Inclusion criteria were age ≥ 75 years, T2D with GLT before admission, and HbA1c measurement during the hospital stay. Comorbidities and geriatric syndromes were collected. GLT agents were classified into hypoglycaemic and non-hypoglycaemic ones, and their dosages were expressed in daily defined dose (DDD). Health status (intermediate or poor) and GLT appropriateness (appropriate, overtreatment, undertreatment) were assessed according to the 2019 Endocrine Society guideline on diabetes treatment in older adults, in which GLT overtreatment requires the presence of hypoglycaemic therapy. One-year mortality was determined using the National Registry of vital status, and its associated factors were analysed using multivariable Cox’ regression. Results The 318 geriatric patients with T2D (median age 84 years; 46% female) were in intermediate (33%) or poor health (67%). These two groups reached similar low HbA1c values (median 6.9%) with similar GLT regimens. GLT overtreatment was frequent (57%) irrespectively of the geriatric features. One-year mortality rate was high (38.5%) and associated in multivariate analysis with poor health status (HR: 1.59, p = 0.033), malnutrition (HR: 1.67, p = 0.006) and GLT overtreatment (HR: 1.73, p = 0.023). Patients with GLT overtreatment had a higher mortality rate (44.5%). Conclusions GLT overtreatment was present in more than half of these geriatric patients. Many of them were in poor health status and died within one-year. Special attention should be paid to individualisation of the HbA1c goals in the geriatric patients with diabetes, and to GLT de-intensification in those being over-treated.


2009 ◽  
Vol 38 (5) ◽  
pp. 1374-1379 ◽  
Author(s):  
N. E Rice ◽  
S. Bandinelli ◽  
A. M. Corsi ◽  
L. Ferrucci ◽  
J. M Guralnik ◽  
...  

Aging Cell ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 18-25 ◽  
Author(s):  
Kate L. Gibson ◽  
Yu-Chang Wu ◽  
Yvonne Barnett ◽  
Orla Duggan ◽  
Robert Vaughan ◽  
...  

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