Phenome-Wide Analysis of Coffee Intake on Health over 20 Years of Follow-Up Among Adults in Hong Kong Osteoporosis Study.


Journal

Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595

Informations de publication

Date de publication:
18 Oct 2024
Historique:
received: 25 09 2024
revised: 11 10 2024
accepted: 16 10 2024
medline: 26 10 2024
pubmed: 26 10 2024
entrez: 26 10 2024
Statut: epublish

Résumé

There has been limited evidence on the long-term impacts of coffee intake on health. We aimed to investigate the association between coffee intake and the incidence of diseases and mortality risk over 20 years among community-dwelling Chinese adults. Participants were from the Hong Kong Osteoporosis Study who attended baseline assessments during 1995-2010. Coffee intake was self-reported through a food frequency questionnaire and was previously validated. Disease diagnoses, which were mapped into 1795 distinct phecodes, and mortality data were obtained from linkage with territory-wide electronic health records. Cox models were used to estimate the association between coffee intake and the incidence of each disease outcome and mortality among individuals without a history of the respective medical condition at baseline. All models were adjusted for age, sex, body mass index, smoking, alcohol drinking, and education. Among the 7420 included participants (mean age 53.2 years, 72.2% women), 54.0% were non-coffee drinkers, and only 2.7% consumed more than one cup of coffee per day. Over a median follow-up of 20.0 years, any coffee intake was associated with a reduced risk of dementia, atrial fibrillation, painful respirations, infections, atopic dermatitis, and dizziness at a false discovery rate (FDR) of <0.05. Furthermore, any coffee intake was associated with an 18% reduced risk of all-cause mortality (95% confidence interval = 0.73-0.93). In a population with relatively low coffee consumption, any coffee intake is linked to a lower risk of several neurological, circulatory, and respiratory diseases and symptoms, as well as mortality.

Sections du résumé

BACKGROUND/OBJECTIVES OBJECTIVE
There has been limited evidence on the long-term impacts of coffee intake on health. We aimed to investigate the association between coffee intake and the incidence of diseases and mortality risk over 20 years among community-dwelling Chinese adults.
METHODS METHODS
Participants were from the Hong Kong Osteoporosis Study who attended baseline assessments during 1995-2010. Coffee intake was self-reported through a food frequency questionnaire and was previously validated. Disease diagnoses, which were mapped into 1795 distinct phecodes, and mortality data were obtained from linkage with territory-wide electronic health records. Cox models were used to estimate the association between coffee intake and the incidence of each disease outcome and mortality among individuals without a history of the respective medical condition at baseline. All models were adjusted for age, sex, body mass index, smoking, alcohol drinking, and education.
RESULTS RESULTS
Among the 7420 included participants (mean age 53.2 years, 72.2% women), 54.0% were non-coffee drinkers, and only 2.7% consumed more than one cup of coffee per day. Over a median follow-up of 20.0 years, any coffee intake was associated with a reduced risk of dementia, atrial fibrillation, painful respirations, infections, atopic dermatitis, and dizziness at a false discovery rate (FDR) of <0.05. Furthermore, any coffee intake was associated with an 18% reduced risk of all-cause mortality (95% confidence interval = 0.73-0.93).
CONCLUSION CONCLUSIONS
In a population with relatively low coffee consumption, any coffee intake is linked to a lower risk of several neurological, circulatory, and respiratory diseases and symptoms, as well as mortality.

Identifiants

pubmed: 39458530
pii: nu16203536
doi: 10.3390/nu16203536
pii:
doi:

Substances chimiques

Coffee 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Jonathan K L Mak (JKL)

Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, China.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 17177 Stockholm, Sweden.

Yin-Pan Chau (YP)

Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, China.

Kathryn Choon-Beng Tan (KC)

Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China.

Annie Wai-Chee Kung (AW)

Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China.

Ching-Lung Cheung (CL)

Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, China.
Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Pak Shek Kok, Hong Kong, China.

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Classifications MeSH