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| 001 | 291060 | ||
| 005 | 20250523121729.0 | ||
| 024 | 7 | _ | |a 10.1002/gps.6113 |2 doi |
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| 024 | 7 | _ | |a 1099-1166 |2 ISSN |
| 037 | _ | _ | |a DKFZ-2024-01281 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Paul, Cinara |0 0000-0002-5196-3283 |b 0 |
| 245 | _ | _ | |a Gender-specific factors associated with case complexity in middle-aged and older adults-Evidence from a large population-based study. |
| 260 | _ | _ | |a Chichester [u.a.] |c 2024 |b Wiley |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1718628143_4717 |2 PUB:(DE-HGF) |
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| 520 | _ | _ | |a To investigate gender-specific factors associated with case complexity in a population-based sample of middle-aged and older adults using a holistic approach to complexity.Data were derived from the 8-year follow-up home visits of the ESTHER study-a German population-based study in middle-aged and older adults. Cross-sectional analyses were conducted for 2932 persons (aged 57-84). Complexity was assessed by the well-established INTERMED for the elderly interview, which uses a holistic approach to the definition of case complexity. The association between various bio-psycho-social variables and case complexity was analyzed using gender-specific logistic regression models, adjusted for sociodemographic factors (age, marital status, education).Prevalence of complexity was 8.3% with significantly higher prevalence in female (10.6%) compared to male (5.8%) participants (p < 0.001). Variables associated with increased odds for complexity in both, women and men were: being divorced (odds ratio [OR] women: 1.86, 95% CI 1.05-3.30; OR men: 3.19, 1.25-8.12), higher total somatic morbidity (women: 1.08, 1.04-1.12; men: 1.06, 1.02-1.11), higher depression severity (women: 1.34, 1.28-1.40; men: 1.35, 1.27-1.44), and higher loneliness scores (women: 1.19, 1.05-1.36; men: 1.23, 1.03-1.47). Women (but not men) with obesity (Body mass index [BMI] ≥30) had higher odds (1.79, 1.11-2.89) for being complex compared to those with a BMI <25. High oxidative stress measured by derivatives of reactive oxygen metabolites in serum was associated with 2.02 (1.09-3.74) higher odds for complexity only in men.This study provides epidemiological evidence on gender differences in prevalence and factors associated with case complexity in middle-aged and older adults. Moreover, this study adds to the holistic understanding of complexity by identifying novel variables linked to complexity among middle-aged and older individuals. These factors include loneliness for both genders, and high oxidative stress for men. These findings should be confirmed in future longitudinal studies. |
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| 650 | _ | 7 | |a bio‐psycho‐social |2 Other |
| 650 | _ | 7 | |a complexity |2 Other |
| 650 | _ | 7 | |a loneliness |2 Other |
| 650 | _ | 7 | |a older adults |2 Other |
| 650 | _ | 7 | |a oxidative stress |2 Other |
| 650 | _ | 2 | |a Humans |2 MeSH |
| 650 | _ | 2 | |a Female |2 MeSH |
| 650 | _ | 2 | |a Male |2 MeSH |
| 650 | _ | 2 | |a Aged |2 MeSH |
| 650 | _ | 2 | |a Middle Aged |2 MeSH |
| 650 | _ | 2 | |a Cross-Sectional Studies |2 MeSH |
| 650 | _ | 2 | |a Aged, 80 and over |2 MeSH |
| 650 | _ | 2 | |a Germany: epidemiology |2 MeSH |
| 650 | _ | 2 | |a Sex Factors |2 MeSH |
| 650 | _ | 2 | |a Logistic Models |2 MeSH |
| 650 | _ | 2 | |a Prevalence |2 MeSH |
| 650 | _ | 2 | |a Risk Factors |2 MeSH |
| 650 | _ | 2 | |a Loneliness: psychology |2 MeSH |
| 700 | 1 | _ | |a Schöttker, Ben |0 P:(DE-He78)c67a12496b8aac150c0eef888d808d46 |b 1 |u dkfz |
| 700 | 1 | _ | |a Hartmann, Mechthild |b 2 |
| 700 | 1 | _ | |a Friederich, Hans-Christoph |b 3 |
| 700 | 1 | _ | |a Brenner, Hermann |0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2 |b 4 |u dkfz |
| 700 | 1 | _ | |a Wild, Beate |b 5 |
| 773 | _ | _ | |a 10.1002/gps.6113 |g Vol. 39, no. 6, p. e6113 |0 PERI:(DE-600)1500455-7 |n 6 |p e6113 |t International journal of geriatric psychiatry |v 39 |y 2024 |x 0885-6230 |
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