Janine Quittschalle

Ms. Janine Quittschalle

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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23 November 2020 in Journal of Medical Internet Research
Verified
Journal Article
Open access
JQJanine Quittschalle
Janine Quittschalle
JSJanine Stein
Janine Stein
MLMelanie Luppa
Melanie Luppa
APAl Pa
Al Pa
MLMargrit Löbner
Margrit Löbner
SRSteffi G. Riedel-Heller
Steffi G. Riedel-Heller
Background: The internet has the potential to foster healthy lifestyles and to support chronic disease management. Older adults could benefit from using the internet and other information and communication technology to access health-related information and interventions available online. Objective: The aim of this study was to investigate factors influencing internet use in older and oldest age groups and to determine the frequency of internet use for health-related purposes. Methods: Using data from a nationally representative telephone survey of older adults aged 75 years and over, a sample of 999 people was assessed using structured clinical interviews. Descriptive and binary logistic regression analyses were performed. Results: Overall, 42.6% (418/999) of participants used the internet. Among those, 55.7% (233/417) searched the internet for health-related information. Regression analyses revealed that internet use was significantly associated with younger age (odds ratio [OR] 0.89, 95% CI 0.85-0.92; P<.001), male gender (OR 2.84, 95% CI 2.02-4.00; P<.001), higher education levels (OR 6.69, 95% CI 4.48-9.99; P<.001), a wider social network (OR 1.04, 95% CI 1.01-1.07; P=.01), higher health-related quality of life (OR 1.02, 95% CI 1.00-1.03; P=.006), lower levels of depressive symptoms (OR 0.89, 95% CI 0.80-0.99; P=.04), and higher rates of chronic illness (OR 1.12, 95% CI 1.04-1.21; P<.004). Conclusions: This study provides population-representative data on internet use in old age in Germany. People in the older and oldest age groups participate in online activities. Understanding the factors that are associated with older adults internet use can contribute to developing tailored interventions and eHealth (electronic health) services to improve well-being in older adults.

JQJanine Quittschalle
Janine Quittschalle
APAl Pa
Al Pa
MLMargrit Löbner
Margrit Löbner
MLMelanie Luppa
Melanie Luppa
KHKathrin Heser
Kathrin Heser
SRSteffi G. Riedel-Heller
Steffi G. Riedel-Heller
This study aimed to examine the association of alcohol and tobacco use with severity of depression in older age. Analyses were performed on a pooled data set (n = 3724) from two German old-age cohort studies (LEILA 75+, 6 follow-ups and AgeCoDe/AgeQualiDe, 9 follow-ups). Depressive symptoms were assessed via two screening scales for depression (CES-D and GDS-15) which were harmonized for pooled analysis. A mixed-effects linear regression model for the total sample and additional stratified models for men and women were used. Smoking at baseline was significantly associated with a higher level of depression severity (β = 0.142, 95% CI: 0.051–0.233, p = 0.002), whereas drinking was significantly associated with a decreased level of depression (β = −0.069, 95% CI: −0.119–−0.021, p = 0.005). Concurrent substance use at baseline increased longitudinal depression severity (β = 0.193, 95% CI: 0.011–0.375, p = 0.037). Analyses stratified by gender showed a significant inverse association between drinking and depressive symptoms in men (β = −0.138, 95% CI: −0.231–−0.045, p = 0.004), but not in women (β = −0.060, 95% CI: −0.120–0.001, p = 0.052). Given the burden of major depression, it is important that health care providers, especially primary care physicians, assess and monitor lifestyle factors, even at older ages.

7 September 2021 in Internet Interventions
Verified
Journal Article
Open access
FWFranziska Welzel
Franziska Welzel
MLMargrit Löbner
Margrit Löbner
JQJanine Quittschalle
Janine Quittschalle
APAl Pa
Al Pa
MLMelanie Luppa
Melanie Luppa
SRSteffi G. Riedel-Heller
Steffi G. Riedel-Heller
The death of a close person is a highly stressful, yet common life event in later life. While most individuals seem to cope well with bereavement, a substantial proportion of older individuals suffer from prolonged grief symptoms. E-mental health interventions have been shown to be efficient for a variety of psychological illnesses. Yet, there is a large research gap of studies with a special focus on older adults. This study protocol describes a randomized controlled trial for an internet-based self-help intervention addressing bereavement and loss in adults aged 60 years and over. The self-management intervention is based on techniques of cognitive behavioral therapy and consists of 8 modules. The objective of the AgE-health study is to evaluate the effectiveness and acceptability of this intervention in comparison to a bibliotherapy control group. The AgE-health study aims at implementing a randomized controlled trial. Eligible participants aged 60+ years will be randomly allocated to an intervention group (access to the intervention) or to an active control group (access to bibliotherapy). Primary outcome is the reduction in grief symptoms (13-item Prolonged Grief Inventory); secondary outcomes are depression, social activity and network, quality of life, self-efficacy, satisfaction with the intervention/bibliotherapy, loneliness, acceptability, up-take and adherence. Assessments will take place before the intervention (baseline) as well as 4 months (follow-up 1) after the intervention. This study addresses an under-recognized and understudied mental health burden in later life and may add valuable insight into our knowledge about the effectiveness of eHealth interventions for loss and bereavement in late life. To our knowledge, the AgE-health study will be the first randomized controlled trial to evaluate the effectiveness of an internet-based intervention targeting prolonged grief in adults aged 60 years and over. The study has been registered at the German Clinical Trials Register (Identifier: DRKS00020595, Registered 30th July 2020, https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00020595).

18 July 2019 in JMIR Preprints
Verified
Preprint
Open access
JQJanine Quittschalle
Janine Quittschalle
JSJanine Stein
Janine Stein
MLMelanie Luppa
Melanie Luppa
APAl Pa
Al Pa
MLMargrit Löbner
Margrit Löbner
SRSteffi G. Riedel-Heller
Steffi G. Riedel-Heller
BACKGROUND The internet has the potential to foster healthy lifestyles and to support chronic disease management. Older adults could benefit from using the internet and other information and communication technology to access health-related information and interventions available online. OBJECTIVE The aim of this study was to investigate factors influencing internet use in older and oldest age groups and to determine the frequency of internet use for health-related purposes. METHODS Using data from a nationally representative telephone survey of older adults aged 75 years and over, a sample of 999 people was assessed using structured clinical interviews. Descriptive and binary logistic regression analyses were performed. RESULTS Overall, 42.6% (418/999) of participants used the internet. Among those, 55.7% (233/417) searched the internet for health-related information. Regression analyses revealed that internet use was significantly associated with younger age (odds ratio [OR] 0.89, 95% CI 0.85-0.92; P<.001), male gender (OR 2.84, 95% CI 2.02-4.00; P<.001), higher education levels (OR 6.69, 95% CI 4.48-9.99; P<.001), a wider social network (OR 1.04, 95% CI 1.01-1.07; P=.01), higher health-related quality of life (OR 1.02, 95% CI 1.00-1.03; P=.006), lower levels of depressive symptoms (OR 0.89, 95% CI 0.80-0.99; P=.04), and higher rates of chronic illness (OR 1.12, 95% CI 1.04-1.21; P<.004). CONCLUSIONS This study provides population-representative data on internet use in old age in Germany. People in the older and oldest age groups participate in online activities. Understanding the factors that are associated with older adults internet use can contribute to developing tailored interventions and eHealth (electronic health) services to improve well-being in older adults.

2 September 2021 in Das Gesundheitswesen
Verified
Conference Paper
Closed access
JQJanine Quittschalle
Janine Quittschalle
APAl Pa
Al Pa
MLMargrit Löbner
Margrit Löbner
KHK Heser
K Heser
WWW Wagner
W Wagner
SRSteffi G. Riedel-Heller
Steffi G. Riedel-Heller
Einleitung Depressionen sind im höheren Lebensalter häufig. Lebensstilfaktoren wie der Konsum von Alkohol oder Tabak stellen potentielle Risikofaktoren für eine Vielzahl an Erkrankungen und Beeinträchtigungen dar, so auch für die Entwicklung depressiver Symptome. Sowohl im Alkohol- und Tabakkonsum als auch in der depressiven Symptomatik zeigen sich dabei deutliche Geschlechtsunterschiede. Ziel dieser Studie ist es, den Einfluss des Lebensstils auf die Entwicklung depressiver Symptome über die Geschlechter bei hochaltrigen Menschen (75+) im Zeitverlauf zu untersuchen und geschlechtsspezifische Besonderheiten zu eruieren. Methoden Vorgestellt werden die Ergebnisse einer quantitativen, längsschnittlichen Analyse mit den gepoolten Daten aus zwei großen deutschen Alterskohorten (AgeDifferent.De). Es wurden deskriptive und inferenzstatistische Analysen sowie multivariate Regressionsmodelle (Mixed-Models) durchgeführt. Ergebnisse Vorläufige Ergebnisse zeigen einen Zusammenhang zwischen der Prävalenz des Substanzkonsums und Depressionen. Tabakkonsum stellt unabhängig vom Geschlecht einen Risikofaktor für die Entwicklung depressiver Symptome dar. Hingegen scheint Alkoholkonsum v.a. bei Männern einen protektiven Effekt zu haben. Zudem zeigt sich ein Interaktionseffekt zwischen Alkohol- und Tabakkonsum bei Männern, nicht aber in der Gruppe der Frauen. Fazit Diese Studie liefert zum ersten Mal Daten zum Einfluss von Lebensstilfaktoren auf die Entwicklung depressiver Symptome im höheren Alter in Deutschland. Es zeigt sich ein geschlechtsspezifischer Zusammenhang, vor allem im Hinblick auf den Konsum von Alkohol. Diese Ergebnisse leisten einen Beitrag zum besseren Verständnis der Entwicklung einer Altersdepression sowie zu deren Prävention und Behandlung. Publication Date: 02 September 2021 (online) © 2021. Thieme. All rights reserved. Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, Germany