Familial aggregation of multimorbidity in Sweden: national explorative family study
Zöller, Bengt LU
; Pirouzifard, Mirnabi
LU
; Holmquist, Björn
LU
; Sundquist, Jan
LU
; Halling, Anders
LU
and Sundquist, Kristina
LU
(2023)
In BMJ Medicine
2(1).
p.1-13
- Abstract
- Objectives To examine whether multimorbidity aggregates in families in Sweden.
Design National explorative family study.
Setting Swedish Multigeneration Register linked to the National Patient Register, 1997-2015. Multimorbidity was assessed with a modified counting method of 45 chronic non-communicable diseases according to ICD-10 (international classification of diseases, 10th revision) diagnoses.
Participants 2 694 442 Swedish born individuals (48.73% women) who could be linked to their Swedish born first, second, and third degree relatives. Twins were defined as full siblings born on the same date.
Main outcome measures Multimorbidity was defined as two or more non-communicable diseases. Familial... (More) - Objectives To examine whether multimorbidity aggregates in families in Sweden.
Design National explorative family study.
Setting Swedish Multigeneration Register linked to the National Patient Register, 1997-2015. Multimorbidity was assessed with a modified counting method of 45 chronic non-communicable diseases according to ICD-10 (international classification of diseases, 10th revision) diagnoses.
Participants 2 694 442 Swedish born individuals (48.73% women) who could be linked to their Swedish born first, second, and third degree relatives. Twins were defined as full siblings born on the same date.
Main outcome measures Multimorbidity was defined as two or more non-communicable diseases. Familial associations for one, two, three, four, and five or more non-communicable diseases were assessed to examine risks depending on the number of non-communicable diseases. Familial adjusted odds ratios for multimorbidity were calculated for individuals with a diagnosis of multimorbidity compared with relatives of individuals unaffected by multimorbidity (reference). An initial principal component decomposition followed by a factor analysis with a principal factor method and an oblique promax rotation was used on the correlation matrix of tetrachoric correlations between 45 diagnoses in patients to identify disease clusters.
Results The odds ratios for multimorbidity were 2.89 in twins (95% confidence interval 2.56 to 3.25), 1.81 in full siblings (1.78 to 1.84), 1.26 in half siblings (1.24 to 1.28), and 1.13 in cousins (1.12 to 1.14) of relatives with a diagnosis of multimorbidity. The odds ratios for multimorbidity increased with the number of diseases in relatives. For example, among twins, the odds ratios for multimorbidity were 1.73, 2.84, 4.09, 4.63, and 6.66 for an increasing number of diseases in relatives, from one to five or more, respectively. Odds ratios were highest at younger ages: in twins, the odds ratio was 3.22 for those aged ≤20 years, 3.14 for those aged 21-30 years, and 2.29 for those aged >30 years at the end of follow-up. Nine disease clusters (factor clusters 1-9) were identified, of which seven aggregated in families. The first three disease clusters in the principal component decomposition were cardiometabolic disease (factor 1), mental health disorders (factor 2), and disorders of the digestive system (factor 3). Odds ratios for multimorbidity in twins, siblings, half siblings, and cousins for the factor 1 cluster were 2.79 (95% confidence interval 0.97 to 8.06), 2.62 (2.39 to 2.88), 1.52 (1.34 to 1.73), and 1.31 (1.23 to 1.39), and for the factor 2 cluster, 5.79 (4.48 to 7.48) 3.24 (3.13 to 3.36), 1.51 (1.45 to 1.57), and 1.37 (1.341.40).
Conclusions The results of this explorative family study indicated that multimorbidity aggregated in Swedish families. The findings suggest that map clusters of diseases should be used for the genetic study of common diseases to show new genetic patterns of non-communicable diseases.
(Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/ad421a26-62ed-43d4-8b8f-5cc2b78b7f92
- author
- Zöller, Bengt
LU
; Pirouzifard, Mirnabi
LU
; Holmquist, Björn
LU
; Sundquist, Jan
LU
; Halling, Anders
LU
and Sundquist, Kristina
LU
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- in
- BMJ Medicine
- volume
- 2
- issue
- 1
- article number
- e000070
- pages
- 13 pages
- publisher
- BMJ Publishing Group
- external identifiers
-
- pmid:37465436
- ISSN
- 2754-0413
- DOI
- 10.1136/bmjmed-2021-000070
- language
- English
- LU publication?
- yes
- id
- ad421a26-62ed-43d4-8b8f-5cc2b78b7f92
- date added to LUP
- 2024-02-05 19:05:02
- date last changed
- 2024-02-08 03:13:39
@article{ad421a26-62ed-43d4-8b8f-5cc2b78b7f92,
abstract = {{Objectives To examine whether multimorbidity aggregates in families in Sweden.<br/><br/>Design National explorative family study.<br/><br/>Setting Swedish Multigeneration Register linked to the National Patient Register, 1997-2015. Multimorbidity was assessed with a modified counting method of 45 chronic non-communicable diseases according to ICD-10 (international classification of diseases, 10th revision) diagnoses.<br/><br/>Participants 2 694 442 Swedish born individuals (48.73% women) who could be linked to their Swedish born first, second, and third degree relatives. Twins were defined as full siblings born on the same date.<br/><br/>Main outcome measures Multimorbidity was defined as two or more non-communicable diseases. Familial associations for one, two, three, four, and five or more non-communicable diseases were assessed to examine risks depending on the number of non-communicable diseases. Familial adjusted odds ratios for multimorbidity were calculated for individuals with a diagnosis of multimorbidity compared with relatives of individuals unaffected by multimorbidity (reference). An initial principal component decomposition followed by a factor analysis with a principal factor method and an oblique promax rotation was used on the correlation matrix of tetrachoric correlations between 45 diagnoses in patients to identify disease clusters.<br/><br/>Results The odds ratios for multimorbidity were 2.89 in twins (95% confidence interval 2.56 to 3.25), 1.81 in full siblings (1.78 to 1.84), 1.26 in half siblings (1.24 to 1.28), and 1.13 in cousins (1.12 to 1.14) of relatives with a diagnosis of multimorbidity. The odds ratios for multimorbidity increased with the number of diseases in relatives. For example, among twins, the odds ratios for multimorbidity were 1.73, 2.84, 4.09, 4.63, and 6.66 for an increasing number of diseases in relatives, from one to five or more, respectively. Odds ratios were highest at younger ages: in twins, the odds ratio was 3.22 for those aged ≤20 years, 3.14 for those aged 21-30 years, and 2.29 for those aged >30 years at the end of follow-up. Nine disease clusters (factor clusters 1-9) were identified, of which seven aggregated in families. The first three disease clusters in the principal component decomposition were cardiometabolic disease (factor 1), mental health disorders (factor 2), and disorders of the digestive system (factor 3). Odds ratios for multimorbidity in twins, siblings, half siblings, and cousins for the factor 1 cluster were 2.79 (95% confidence interval 0.97 to 8.06), 2.62 (2.39 to 2.88), 1.52 (1.34 to 1.73), and 1.31 (1.23 to 1.39), and for the factor 2 cluster, 5.79 (4.48 to 7.48) 3.24 (3.13 to 3.36), 1.51 (1.45 to 1.57), and 1.37 (1.341.40).<br/><br/>Conclusions The results of this explorative family study indicated that multimorbidity aggregated in Swedish families. The findings suggest that map clusters of diseases should be used for the genetic study of common diseases to show new genetic patterns of non-communicable diseases.<br/><br/><br/>}},
author = {{Zöller, Bengt and Pirouzifard, Mirnabi and Holmquist, Björn and Sundquist, Jan and Halling, Anders and Sundquist, Kristina}},
issn = {{2754-0413}},
language = {{eng}},
number = {{1}},
pages = {{1--13}},
publisher = {{BMJ Publishing Group}},
series = {{BMJ Medicine}},
title = {{Familial aggregation of multimorbidity in Sweden: national explorative family study}},
url = {{http://dx.doi.org/10.1136/bmjmed-2021-000070}},
doi = {{10.1136/bmjmed-2021-000070}},
volume = {{2}},
year = {{2023}},
}