Patterns of Experienced Aging with a Finnish Cohort

1993 ◽  
Vol 36 (4) ◽  
pp. 269-277 ◽  
Author(s):  
Riitta-Liisa Heikkinen

A cohort study of eighty-year old residents in Jyväskylä (pop. 66,000), central Finland, was carried out in 1990 as part of the EVERGREEN-project. A total of 262 persons born in 1910 were interviewed in the cohort study. The survey data produced a fairly accurate picture of the respondents' objective situation. In order to shed further light on how the respondents felt about growing old, tape recorded narrative stories were collected from a subsample of twenty persons (10 women and 10 men). The stories revealed the subjective meanings and evaluations attached by the individuals concerned to their own aging. Being members of the same culture and the same age cohort, they also shared the same way of perceiving themselves and the surrounding world. It became obvious that there existed some kind of boundary conditions for the experience of aging. The model of boundary conditions for the experience of aging was developed on the basis of the narratives.

Author(s):  
Aya Isumi ◽  
Kunihiko Takahashi ◽  
Takeo Fujiwara

Identifying risk factors from pregnancy is essential for preventing child maltreatment. However, few studies have explored prenatal risk factors assessed at pregnancy registration. This study aimed to identify prenatal risk factors for child maltreatment during the first three years of life using population-level survey data from pregnancy notification forms. This prospective cohort study targeted all mothers and their infants enrolled for a 3- to 4-month-old health check between October 2013 and February 2014 in five municipalities in Aichi Prefecture, Japan, and followed them until the child turned 3 years old. Administrative records of registration with Regional Councils for Children Requiring Care (RCCRC), which is suggestive of child maltreatment cases, were linked with survey data from pregnancy notification forms registered at municipalities (n = 893). Exact logistic regression was used for analysis. A total of 11 children (1.2%) were registered with RCCRC by 3 years of age. Unmarried marital status, history of artificial abortion, and smoking during pregnancy were significantly associated with child maltreatment. Prenatal risk scores calculated as the sum of these prenatal risk factors, ranging from 0 to 7, showed high predictive power (area under receiver operating characteristic curve 0.805; 95% confidence interval (CI), 0.660–0.950) at a cut-off score of 2 (sensitivity = 72.7%, specificity = 83.2%). These findings suggest that variables from pregnancy notification forms may be predictors of the risk for child maltreatment by the age of three.


2017 ◽  
Vol 27 (suppl_3) ◽  
Author(s):  
A Packness ◽  
LH Hastrup ◽  
E Simonsen ◽  
M Vestergaard ◽  
S Wehberg ◽  
...  

Author(s):  
Matthias Pannhorst ◽  
Florian Dost

AbstractThis study presents a dynamic, model-based view of consumers’ ageing developments, focused on gender differences, to uncover the pathways and socioeconomic transitions that female and male consumers take through old age. The analysis of longitudinal survey data spanning 15 years uses a latent Markov dynamic cluster model with transitions over time. The resulting life courses allow an exploration of lifestyle-related changes in multiple consumer well-being variables beyond age 50. Substantial well-being differences appear in the ageing paths of men and women. In both cases, a dominant chronological sequence through old age is complemented by less common transitions, rarely associated with advanced age. Although the model does not use chronological age as an independent variable, it outperforms purely agebased, or age- cohort-, and period-based models in predicting old-age consumer wellbeing. These results highlight the importance of considering within-cohort diversity when modelling the accompaniments of old age: while some older consumers enjoy active lifestyles, others of similar age succumb to depression and loneliness, rendering age an insufficient predictor of well-being states. In the future, the presented model could be matched with other, even cross-sectional, consumer survey data to help predict various dynamics in the ageing consumer population.


2018 ◽  
Vol 2 (4) ◽  
pp. e174-e183 ◽  
Author(s):  
Kristof Y Neven ◽  
Nelly D Saenen ◽  
Letitzia Tarantini ◽  
Bram G Janssen ◽  
Wouter Lefebvre ◽  
...  

2017 ◽  
Vol 102 ◽  
pp. 31-38 ◽  
Author(s):  
Anna-Janina Stephan ◽  
Ralf Strobl ◽  
Rolf Holle ◽  
Christa Meisinger ◽  
Holger Schulz ◽  
...  

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