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1.
Qual Life Res ; 25(4): 1007-15, 2016 Apr.
Article in English | MEDLINE | ID: mdl-26475139

ABSTRACT

OBJECTIVE: To test the hypothesis that higher levels of resilience indicators are associated with lower overall healthcare utilization (HCU) as well as improvements in self-rated health (SRH), we analyzed a representative sample of 4562 adults 50-70 years old enrolled in the US 2010 health and retirement survey. METHODS: Multivariable logistic regression models estimated odds ratios (ORs) and 95 % confidence intervals (CIs) for high versus low resilience in relation to HCU and SRH improvements over 2 years. Resilience indicators included: cumulative lifetime adversity, social support, global mastery and domain-specific mastery. Cumulative lifetime adversity was defined as 0, 1-2, 3-4 or 5+ events. HCU included hospitalization (any vs. none) and physician visits (< 20 vs. ≥ 20) over 2 years. FINDINGS: Hospitalization odds declined by 25 % (OR 0.75, 95 %CI 0.64-0.86), odds of ≥ 20 physician visits declined by 47 % (OR 0.53, 95 % CI 0.45-0.63) and the odds of SRH improvement increased by 49 % (OR 1.49, 95 % CI 1.17-1.88) for respondents with high versus low health mastery. Cumulative lifetime adversity manifested a dose-dependent positive relationship with HCU. Specifically, hospitalization odds was, respectively, 25, 80 and 142 % elevated for participants that reported 1-2, 3-4 and 5+ versus 0 lifetime adversities. High versus low global, financial and health mastery, respectively, predicted improved SRH, lower physician's visits and hospitalizations. CONCLUSION: In this sample of adults near or in retirement, resilience predicted lower HCU and improved SRH. Resilience is a dynamic state that can be enhanced in adults with positive impacts on subjective well-being and HCU.


Subject(s)
Delivery of Health Care/statistics & numerical data , Hospitalization/statistics & numerical data , Patient Acceptance of Health Care/statistics & numerical data , Quality of Life/psychology , Resilience, Psychological , Retirement/psychology , Aged , Female , Health Services/economics , Humans , Male , Middle Aged , Social Support , Surveys and Questionnaires , Treatment Outcome
2.
Am J Hosp Palliat Care ; 33(1): 41-6, 2016 Feb.
Article in English | MEDLINE | ID: mdl-25258335

ABSTRACT

In a society of long lives, parent and child life can overlap by as much as 50 years. Most children now experience the death of their parents as adults. Many of the 2.5 million deaths each year in the United States are parents. Parental loss is a risk factor for subsequent illness. The Health and Retirement Survey is a representative cohort of persons aged 50 to 70 years. Using the 2010 cohort data, we estimate risk for use of health care after the death of a parent. Loss is a near universal experience in the cohort (87%). A report of any loss increases risk of health care utilization by 20% to 30%. For a longevity society, preventing loss-related hospitalization is a measurable outcome for bereavement care.


Subject(s)
Grief , Parent-Child Relations , Parents/psychology , Retirement , Adaptation, Psychological , Aged , Aged, 80 and over , Attitude to Death , Female , Humans , Male , Middle Aged , Surveys and Questionnaires , United States
3.
Fam Community Health ; 37(4): 317-26, 2014.
Article in English | MEDLINE | ID: mdl-25167072

ABSTRACT

Bereavement and insomnia are both well-documented risk factors for illness. We use cohort data to estimate risk of insomnia after death of a family member among adults aged 50 to 70 years. Each day, 6700 persons die in the United States. During the next 20 years, this number will increase. In this cohort, any loss increases the likelihood of insomnia. The highest rates of insomnia occur among women aged 50 to 59 years; men aged 65 to 70 years, and persons reporting death of a spouse/partner or child. Physical activity reduces this risk by one-third. Bereavement is a public health issue requiring a targeted response.


Subject(s)
Bereavement , Depression/diagnosis , Family , Motor Activity/physiology , Sleep Initiation and Maintenance Disorders , Age Distribution , Aged , Body Mass Index , Depression/epidemiology , Depression/etiology , Female , Health Surveys , Humans , Male , Middle Aged , Prevalence , Sex Distribution , Sleep Initiation and Maintenance Disorders/epidemiology , Sleep Initiation and Maintenance Disorders/etiology , Sleep Initiation and Maintenance Disorders/prevention & control , Sleep Initiation and Maintenance Disorders/psychology , United States
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