Andreas Hinz

Dr. Andreas Hinz

University of Leipzig, Leipzig, Saxony, Germany

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 July 2018 in BMC Psychology
Verified
Journal Article
Open access
PDF file
RKRüya-Daniela Kocalevent
Rüya-Daniela Kocalevent
LBLorenz Berg
Lorenz Berg
MBManfred E. Beutel
Manfred E. Beutel
AHAndreas Hinz
Andreas Hinz
MZMarkus Zenger
Markus Zenger
EBElmar Brähler
Elmar Brähler
The objectives of the study were to generate normative data for the Oslo Social Support Scale (OSSS-3) for different age groups for men and women and to further investigate the factor structure in the general population. Nationally representative face-to face household surveys were conducted in Germany in 2008 (n = 2524). Normative data for the Oslo Social Support Scale were generated for men and women (52.3% female) and different age levels (mean age (SD) of 48.9 (18.3) years). Men had mean scores comparable to women (10.1 [SD = 2.3] vs. 10.2 [SD = 2.2]). The EFA resulted in a clear one-factor solution for the OSSS-3. The normative data provide a framework for the interpretation and comparisons of social support with other populations.

1 February 2017 in Sleep Medicine
Verified
Journal Article
Closed access
AHAndreas Hinz
Andreas Hinz
HGHeide Glaesmer
Heide Glaesmer
EBElmar Brähler
Elmar Brähler
MLMarkus Löffler
Markus Löffler
CEChristoph Engel
Christoph Engel
CSChristian Sander
Christian Sander

1 March 2017 in Journal of Affective Disorders
Verified
Journal Article
Closed access
AHAndreas Hinz
Andreas Hinz
AKAnnette M. Klein
Annette M. Klein
EBElmar Brähler
Elmar Brähler
HGHeide Glaesmer
Heide Glaesmer
TLTobias Luck
Tobias Luck
AHAnja Hilbert
Anja Hilbert

1 August 2011 in Journal of Psychosomatic Research
Verified
Journal Article
Closed access
AHAndreas Hinz
Andreas Hinz
EBElmar Brähler
Elmar Brähler

20 March 2013 in BMC Psychiatry
Verified
Journal Article
Open access
PDF file
RKRüya-Daniela Kocalevent
Rüya-Daniela Kocalevent
AHAndreas Hinz
Andreas Hinz
EBElmar Brähler
Elmar Brähler
The PHQ-15 is widely used as an open access screening instrument for somatization syndromes in different health care settings, thus far, normative data from the general population are not available. The objectives of the study were to generate normative data and to further investigate the construct validity of the PHQ-15 in the general population. Nationally representative face-to face household surveys were conducted in Germany between 2003 and 2008 (n=5,031). The survey questionnaires included, the 15-item somatization module from the Patient Health Questionnaire (PHQ-15), the 9-item depression module (PHQ-9), the Satisfaction With Life Scale (SWLS), the SF-12 for the measurement of health related quality of life, and demographic characteristics. Normative data for the PHQ-15 were generated for both genders and different age levels including 5031 subjects (53.6% female) with a mean age (SD) of 48.9 (18.1) years. Somatization syndromes occured in 9.3% of the general population. Women had significantly higher mean (SD) scores compared with men [4.3 (4.1) vs. 3.4 (4.0)]. Intercorrelations with somatization were highest with depression, followed by the physical component summary scale of health related quality of life. The normative data provide a framework for the interpretation and comparisons of somatization syndromes with other populations. Evidence supports reliability and validity of the PHQ-15 as a measure of somatization syndromes in the general population.

2 February 2016 in BMC Psychiatry
Verified
Journal Article
Open access
PDF file
AHAndreas Hinz
Andreas Hinz
AMAnja Mehnert
Anja Mehnert
RKRüya-Daniela Kocalevent
Rüya-Daniela Kocalevent
EBElmar Brähler
Elmar Brähler
TFThomas Forkmann
Thomas Forkmann
DSDr. Thomas Schulte
Dr. Thomas Schulte
The Patient Health Questionnaire PHQ-9 is a widely used instrument to screen for depression in clinical research. The first aim of this study was to psychometrically test the PHQ-9 in a large sample of cancer patients. The second aim was to calculate unbiased estimates of the depression burden for several cancer groups taking into account age and gender distributions. A sample of 2,059 cancer patients with varying diagnoses were examined in this study six months after discharge from a rehabilitation clinic. A representative sample of 2,693 people from the general population served as controls. Expected PHQ-9 mean scores of the general population sample, regressed on age and gender, were calculated to enable a fair comparison of different groups of cancer patients. While the reliability (Cronbach’s alpha) for the PHQ-9 scale was good (alpha ≥ 0.84), the CFA fit indices of the one-dimensional solution were unsatisfactory in the patients’ sample. The factorial analysis confirmed two factors. PHQ-9 mean scores for 15 types of cancer are given, ranging from 4.0 (prostate) to 8.2 (thyroid gland). Differences between expected mean scores (derived from the general population) and raw mean scores of the cancer subsamples are reported that provide a better estimate of the depression burden. The results confirmed that the PHQ-9 performs well in testing depression in cancer patients. Regression coefficients can be used for performing unbiased comparisons among cancer groups, not only for this study. The burden of patients with testis cancer and Hodgkin lymphoma is underestimated when age and gender are not taken into account.