Cognitive impairment and syndromal depression in estimates of active life expectancy: the 13-year follow-up of the Baltimore Epidemiologic Catchment Area sample

2000 ◽  
Vol 101 (4) ◽  
pp. 265-273 ◽  
Author(s):  
Joseph J. Gallo ◽  
Robert Schoen ◽  
Richard Jones
Keyword(s):  
Cognitive Impairment ◽  
Life Expectancy ◽  
Catchment Area ◽  
Active Life Expectancy ◽  
Epidemiologic Catchment Area ◽  
Active Life

scholarly journals Long-term Follow-up after Treatment for Cerebrovascular Disease. Long-term Follow-up of Surgically Treated SAH Patients in Their 70s. An Assessment of Active Life Expectancy.

2002 ◽  
Vol 30 (2) ◽  
pp. 93-96 ◽  
Author(s):  
Shinjitsu NISHIMURA ◽  
Yoshiharu SAKURAI ◽  
Akiko NISHINO ◽  
Hiroaki ARAI ◽  
Hiroshi UENOHARA ◽  
...  
Keyword(s):  
Life Expectancy ◽  
Cerebrovascular Disease ◽  
Active Life Expectancy ◽  
Active Life ◽  
Long Term Follow Up

Active Life Expectancy from Annual Follow-Up Data with Missing Responses

Biometrics ◽  
2000 ◽  
Vol 56 (1) ◽  
pp. 244-248 ◽  
Author(s):  
Grant Izmirlian ◽  
Dwight Brock ◽  
Luigi Ferrucci ◽  
Caroline Phillips
Keyword(s):  
Life Expectancy ◽  
Active Life Expectancy ◽  
Missing Responses ◽  
Active Life

scholarly journals Inequality in Life Expectancy, Functional Status, and Active Life Expectancy Across Selected Black and White Populations in the United States

Demography ◽  
2001 ◽  
Vol 38 (2) ◽  
pp. 227-251 ◽  
Author(s):  
Arline T. Geronimus ◽  
John Bound ◽  
Timothy Waidmann ◽  
Cynthia G. Colen ◽  
Dianne Steffick
Keyword(s):  
United States ◽  
Life Expectancy ◽  
Functional Status ◽  
The United States ◽  
Active Life Expectancy ◽  
Black And White ◽  
Active Life

scholarly journals Personality and Cognitive Decline in the Baltimore Epidemiologic Catchment Area Follow-up Study

2014 ◽  
Vol 22 (9) ◽  
pp. 917-925 ◽  
Author(s):  
Rebecca S. Hock ◽  
Hochang Benjamin Lee ◽  
O. Joseph Bienvenu ◽  
Gerald Nestadt ◽  
Jack F. Samuels ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Catchment Area ◽  
Epidemiologic Catchment Area ◽  
Follow Up Study

scholarly journals Job strain and cognitive change: the Baltimore Epidemiologic Catchment Area follow-up study

2018 ◽  
Vol 75 (12) ◽  
pp. 856-862 ◽  
Author(s):  
Liming Dong ◽  
William W Eaton ◽  
Adam P Spira ◽  
Jacqueline Agnew ◽  
Pamela J Surkan ◽  
...  
Keyword(s):  
Verbal Memory ◽  
Catchment Area ◽  
Job Strain ◽  
Job Demands ◽  
Cognitive Change ◽  
Job Control ◽  
Recall Task ◽  
Epidemiologic Catchment Area ◽  
Follow Up Study

ObjectivesTo investigate the association between job strain and subsequent cognitive change over approximately 11 years, using data from the population-based Baltimore Epidemiologic Catchment Area follow-up study.MethodsThe sample ranged from 555 to 563 participants, depending on the outcome, who reported psychosocial characteristics corresponding to the full-time job they held at baseline (1993–1996). Overall cognitive performance was measured by the Mini-Mental State Examination (MMSE), and verbal memory was measured by the ImmediateWord Recall Task and Delayed Word Recall Task at baseline and follow-up (2004–2005). Multiple linear regression was used to examine the association between job strain and cognitive change, and inverse probability weighting was used to account for differential attrition.ResultsParticipants with high job demands (psychological or physical demands) and/or low job control had greater decrease in the MMSE and memory scores than those with low job demands and high job control. After adjustment for baseline outcome scores, age and sex, the greatest decrease was observed in participants with high job demands and low job control (MMSE: −0.24, 95% CI −0.36 to –0.11; verbal memory scores: −0.26, 95% CI −0.44 to –0.07). The differences were partially explained by sociodemographic characteristics, occupational prestige and health factors.ConclusionsFindings from this prospective study suggest that job strain is associated with and may be a potential modifiable risk factor for adverse cognitive outcomes.

scholarly journals Cumulative Effects of Physical Activity, Dietary Variety, and Social Participation on Active Life Expectancy

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 186-186
Author(s):  
Satoshi Seino ◽  
Akihiko Kitamura ◽  
Yui Tomine ◽  
Mariko Nishi ◽  
Yu Nofuji ◽  
...  
Keyword(s):  
Physical Activity ◽  
Life Expectancy ◽  
Social Participation ◽  
Influential Factors ◽  
Regular Physical Activity ◽  
Cumulative Effects ◽  
Active Life Expectancy ◽  
Term Care ◽  
Dietary Variety ◽  
Active Life

Abstract Regular physical activity, dietary variety, and active social participation are modifiable and influential factors of adverse health outcomes. However, the cumulative effects of these behaviors are unknown. We examined these cumulative associations with active life loss in older adults. We analyzed 3-year longitudinal data from 7246 initially non-disabled residents aged 65-84 years from 18 districts of Ota City, Tokyo. Sufficiency of moderate- to vigorous-intensity physical activity (MVPA) of ≥150 minutes/week, dietary variety score (DVS) of ≥3, and social participation of ≥1 time/month were assessed using self-administered questionnaires. We operationally defined active life loss for individuals as being newly certified for long-term care insurance or death without prior certification. Multilevel survival analyses were applied to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). During an average follow-up of 2.9 years, the cumulative incidence of active life loss was 11.3% (817 individuals: 650 new certifications and 167 deaths without prior certification). Multivariate-adjusted HRs (95% CIs) for active life loss were 0.73 (0.58-0.92) in only MVPA of ≥150 minutes/week, 0.88 (0.67-1.15) in only DVS of ≥3, 0.75 (0.51-1.09) in only social participation of ≥1 time/month, 0.56 (0.45-0.70) in the group satisfying any two, and 0.52 (0.40-0.67) in the group satisfying all three behaviors, compared with a reference group that did not satisfy any of the behaviors. Sensitivity analysis that excluded active life losses during the first year showed similar results. The combination of regular physical activity, dietary variety, and social participation further enhances the effects on active life expectancy than individual practices.

Stroke and active life expectancy among older adults in Beijing, China

2009 ◽  
Vol 31 (9) ◽  
pp. 701-711 ◽  
Author(s):  
Xiang-Hua Fang ◽  
Zachary Zimmer ◽  
Toshido Kaneda ◽  
Zhe Tang ◽  
Man-Jung Xiang
Keyword(s):  
Older Adults ◽  
Life Expectancy ◽  
Active Life Expectancy ◽  
Active Life ◽  
Beijing China

Changes in active life expectancy in Taiwan: Compression or expansion?

1994 ◽  
Vol 39 (12) ◽  
pp. 1657-1665 ◽  
Author(s):  
Edward Jow-Ching Tu ◽  
Kuanjeng Chen
Keyword(s):  
Life Expectancy ◽  
Active Life Expectancy ◽  
Active Life
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