From cigarettes to symptoms: the association between smoking and depression in the German National Cohort (NAKO)
Authors
- Maja P Völker
- Carolin M. Callies
- Josef Frank
- Jerome C. Foo
- Iris Reinhard
- Lea Zillich
- Johanna Klinger-König
- Hans Jörgen Grabe
- Achim G. Beule
- Angelika Erhardt-Lehmann
- Alexander Pabst
- Steffi G Riedel-Heller
- Bernhard T. Baune
- Claudia Trenkwalder
- Michael Wagner
- Lilian Krist
- Thomas Keil
- Tobias Pischon
- Katharina Nimptsch
- Matthias B. Schulze
- Börge Schmidt
- Rafael Mikolajczyk
- Nadia Obi
- Volker Harth
- Carolina J. Klett-Tammen
- Heiko Becher
- Karin H. Greiser
- André Karch
- Sabine Schipf
- Claudia Meinke-Franze
- Patricia Bohmann
- Michael Leitzmann
- Hermann Brenner
- Ute Mons
- Emanuel Schwarz
- Klaus Berger
- Jutta Mata
- Stephanie H. Witt
- Fabian Streit
Journal
- BMC Public Health
Citation
- BMC Public Health 26 (1): 26
Abstract
BACKGROUND: Although the association between smoking and depression is well-established, the underlying mechanisms and contextual factors remain insufficiently understood. We examined the association between smoking and depression, including detailed dose-response and timing-related relationships, using baseline data from a large population-based cohort, the German National Cohort (NAKO). METHODS: The analysis comprised 173,890 participants (19-72 years, 50.21% female). Lifetime and current depression were assessed via self-reported physician’s diagnosis, the Major Depressive Disorder module of the MINI International Neuropsychiatric Interview (MINI), and the depression scale of the Patient Health Questionnaire (PHQ-9). Smoking behavior was assessed using self-reported smoking status, age at initiation, cigarettes per day, and time since smoking cessation. Associations between smoking and depression measures were analyzed using regression models adjusted for sex, age, age², education, Body Mass Index, and alcohol consumption. RESULTS: Lifetime depression was more prevalent among individuals who currently or formerly smoked compared to those who never smoked. Currently smoking individuals also reported most current depressive symptoms, followed by formerly smoking individuals and those who never smoked. A dose-response relationship was observed, with more cigarettes per day being associated with more current depressive symptoms. Later age at smoking initiation was associated with later depression onset. Time since smoking cessation was positively associated with time since last depressive episode and negatively with current depressive symptoms. CONCLUSIONS: Our findings support an association between smoking and depression. Robust dose-response relationships were found, with higher cigarette consumption associated with more severe depressive symptoms, and longer time since cessation linked to lower depression levels. These results highlight smoking as a meaningful and modifiable contributor to current and lifetime depression, suggesting that quitting smoking or reducing cigarette consumption may benefit mental health. Early prevention of smoking initiation, along with integrated approaches that combine smoking cessation support with mental health care, may help reduce both smoking rates and depression burden.