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5. Meat consumption and incident type 2 diabetes: an individual-participant federated meta-analysis of 1·97 million adults with 100 000 incident cases from 31 cohorts in 20 countries

Author

Li, Chunxiao, Bishop, Tom R P, Imamura, Fumiaki, Sharp, Stephen J, Pearce, Matthew, Brage, Soren, Ong, Ken K, Ahsan, Habibul, Bes-Rastrollo, Maira, Beulens, Joline W J, den Braver, Nicole, Byberg, Liisa, Canhada, Scheine, Chen, Zhengming, Chung, Hsin-Fang, Cortés-Valencia, Adrian, Djousse, Luc, Drouin-Chartier, Jean-Philippe, Du, Huaidong, Du, Shufa, Duncan, Bruce B, Gaziano, J Michael, Gordon-Larsen, Penny, Goto, Atsushi, Haghighatdoost, Fahimeh, Härkänen, Tommi, Hashemian, Maryam, Hu, Frank B, Ittermann, Till, Järvinen, Ritva, Kakkoura, Maria G, Neelakantan, Nithya, Knekt, Paul, Lajous, Martin, Li, Yanping, Magliano, Dianna J, Malekzadeh, Reza, Le Marchand, Loic, Marques-Vidal, Pedro, Martinez-Gonzalez, Miguel A, Maskarinec, Gertraud, Mishra, Gita D, Mohammadifard, Noushin, O'Donoghue, Gráinne, O'Gorman, Donal, Popkin, Barry, Poustchi, Hossein, Sarrafzadegan, Nizal, Sawada, Norie, Schmidt, Maria Inês, Shaw, Jonathan E, Soedamah-Muthu, Sabita, Stern, Dalia, Tong, Lin, van Dam, Rob M, Völzke, Henry, Willett, Walter C, Wolk, Alicja, Yu, Canqing, Forouhi, Nita G, and Wareham, Nicholas J

Published
2024
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8. Associations between exploratory dietary patterns and incident type 2 diabetes: a federated meta-analysis of individual participant data from 25 cohort studies

Author

Jannasch, Franziska, Dietrich, Stefan, Bishop, Tom R. P., Pearce, Matthew, Fanidi, Anouar, O’Donoghue, Gráinne, O’Gorman, Donal, Marques-Vidal, Pedro, Vollenweider, Peter, Bes-Rastrollo, Maira, Byberg, Liisa, Wolk, Alicja, Hashemian, Maryam, Malekzadeh, Reza, Poustchi, Hossein, Luft, Vivian C., de Matos, Sheila M. Alvim, Kim, Jihye, Kim, Mi Kyung, Kim, Yeonjung, Stern, Dalia, Lajous, Martin, Magliano, Dianna J., Shaw, Jonathan E., Akbaraly, Tasnime, Kivimaki, Mika, Maskarinec, Gertraud, Le Marchand, Loïc, Martínez-González, Miguel Ángel, Soedamah-Muthu, Sabita S., Wareham, Nicholas J., Forouhi, Nita G., and Schulze, Matthias B.

Published
2022
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9. Disentangling the genetics of lean mass.

Author

Karasik, David, Zillikens, M, Hsu, Yi-Hsiang, Aghdassi, Ali, Akesson, Kristina, Amin, Najaf, Barroso, Inês, Bennett, David, Bertram, Lars, Bochud, Murielle, Borecki, Ingrid, Broer, Linda, Buchman, Aron, Byberg, Liisa, Campbell, Harry, Campos-Obando, Natalia, Cauley, Jane, Cawthon, Peggy, Chambers, John, Chen, Zhao, Cho, Nam, Choi, Hyung, Chou, Wen-Chi, Cummings, Steven, de Groot, Lisette, De Jager, Phillip, Demuth, Ilja, Diatchenko, Luda, Econs, Michael, Eiriksdottir, Gudny, Enneman, Anke, Eriksson, Joel, Eriksson, Johan, Estrada, Karol, Evans, Daniel, Feitosa, Mary, Fu, Mao, Gieger, Christian, Grallert, Harald, Gudnason, Vilmundur, Lenore, Launer, Hayward, Caroline, Hofman, Albert, Homuth, Georg, Huffman, Kim, Husted, Lise, Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Johnson, Toby, Biffar, Reiner, Jordan, Joanne, Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpeläinen, Tuomas, Klopp, Norman, Kloth, Jacqueline, Koller, Daniel, Kooner, Jaspal, Kraus, William, Kritchevsky, Stephen, Kutalik, Zoltán, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Langdahl, Bente, Lerch, Markus, Lewis, Joshua, Lill, Christina, Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Livshits, Gregory, Ljunggren, Östen, Loos, Ruth, Lorentzon, Mattias, Luan, Jianan, Luben, Robert, Malkin, Ida, McGuigan, Fiona, Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellström, Dan, Michaëlsson, Karl, Mitchell, Braxton, Morris, Andrew, Mosekilde, Leif, Nethander, Maria, Newman, Anne, OConnell, Jeffery, Oostra, Ben, Orwoll, Eric, Palotie, Aarno, Peacock, Munro, Perola, Markus, and Peters, Annette

Subjects
ADAMTS Proteins, Absorptiometry, Photon, Adipose Tissue, Adolescent, Adult, Aged, Aged, 80 and over, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Body Composition, Body Fluid Compartments, Electric Impedance, Extracellular Matrix Proteins, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Muscle, Skeletal, Phenotype, Polymorphism, Single Nucleotide, RNA-Binding Proteins, Receptor, Melanocortin, Type 4, Versicans, White People, Young Adult
Abstract

BACKGROUND: Lean body mass (LM) plays an important role in mobility and metabolic function. We previously identified five loci associated with LM adjusted for fat mass in kilograms. Such an adjustment may reduce the power to identify genetic signals having an association with both lean mass and fat mass. OBJECTIVES: To determine the impact of different fat mass adjustments on genetic architecture of LM and identify additional LM loci. METHODS: We performed genome-wide association analyses for whole-body LM (20 cohorts of European ancestry with n = 38,292) measured using dual-energy X-ray absorptiometry) or bioelectrical impedance analysis, adjusted for sex, age, age2, and height with or without fat mass adjustments (Model 1 no fat adjustment; Model 2 adjustment for fat mass as a percentage of body mass; Model 3 adjustment for fat mass in kilograms). RESULTS: Seven single-nucleotide polymorphisms (SNPs) in separate loci, including one novel LM locus (TNRC6B), were successfully replicated in an additional 47,227 individuals from 29 cohorts. Based on the strengths of the associations in Model 1 vs Model 3, we divided the LM loci into those with an effect on both lean mass and fat mass in the same direction and refer to those as sumo wrestler loci (FTO and MC4R). In contrast, loci with an impact specifically on LM were termed body builder loci (VCAN and ADAMTSL3). Using existing available genome-wide association study databases, LM increasing alleles of SNPs in sumo wrestler loci were associated with an adverse metabolic profile, whereas LM increasing alleles of SNPs in body builder loci were associated with metabolic protection. CONCLUSIONS: In conclusion, we identified one novel LM locus (TNRC6B). Our results suggest that a genetically determined increase in lean mass might exert either harmful or protective effects on metabolic traits, depending on its relation to fat mass.

Published
2019

12. Plasma proteome and incident myocardial infarction: sex-specific differences.

Author

Titova, Olga E, Yuan, Shuai, Byberg, Liisa, Baron, John A, Lind, Lars, Michaëlsson, Karl, and Larsson, Susanna C

Subjects
TUMOR necrosis factor receptors, RETINOIC acid receptors, MYOCARDIAL infarction, PROTEIN receptors, FOLLISTATIN
Abstract

Background and aims Few population-based cohort studies, including both men and women, have explored circulating proteins associated with incident myocardial infarction (MI). This study investigated the relationships between circulating cardiometabolic-related proteins and MI risk using cohort-based and Mendelian randomization (MR) analyses and explored potential sex-specific differences. Methods The discovery cohort included 11 751 Swedish adults (55–93 years). Data on 259 proteins assessed with Olink proximity extension assays, biochemical, and questionnaire-based information were used. Participants were followed up for incident MI and death over 8 years through linkage to Swedish registers. Replication analyses were conducted on the UK Biobank sample (n = 51 613). In MR analyses, index cis -genetic variants strongly related to the proteins were used as instrumental variables. Genetic association summary statistic data for MI were obtained from the CARDIoGRAMplusC4D consortium and FinnGen. Results Forty-five proteins were associated with incident MI in discovery and replication samples following adjustment for potential confounders and multiple testing. In the secondary analysis, 13 of the protein associations were sex-specific, with most associations identified among women. In MR analysis, genetically predicted higher levels of renin, follistatin, and retinoic acid receptor responder protein 2 were linked to an increased risk of MI. Tissue factor pathway inhibitor, tumor necrosis factor receptors 1 and 2, placenta growth factor had an inverse association with MI. Conclusions This study identified both new and confirmed previously established associations between circulating proteins and incident MI and, for the first time, suggested sex-specific patterns in multiple protein-MI associations. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

Author

Zillikens, M Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M, Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L, Kutalik, Zoltán, Luan, Jian'an, Malkin, Ida, Ried, Janina S, Smith, Albert V, Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J, Barroso, Inês, Bennett, David A, Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B, Buchman, Aron S, Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A, Cawthon, Peggy M, Cederberg, Henna, Chen, Zhao, Cho, Nam H, Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R, De Jager, Philip L, Demuth, Ilja, Dhonukshe-Rutten, Rosalie AM, Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W, Erdos, Mike, Eriksson, Johan G, Eriksson, Joel, Estrada, Karol, Evans, Daniel S, Feitosa, Mary F, Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L, Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L, Hayward, Caroline, Hofman, Albert, Hoffman, Eric P, Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J, Hubbard, Alan, Huffman, Kim M, Husted, Lise B, Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M, Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpeläinen, Tuomas O, Klopp, Norman, Kloth, Jacqueline SL, Koistinen, Heikki A, Kraus, William E, Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L, Launer, Lenore J, Lee, Jong-Young, Lerch, Markus M, Lewis, Joshua R, Lind, Lars, Lindgren, Cecilia, and Liu, Yongmei

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics
Abstract

A correction to this article has been published and is linked from the HTML version of this article.

Published
2017

16. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

Author

Zillikens, M Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M, Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L, Kutalik, Zoltán, Luan, Jian'an, Malkin, Ida, Ried, Janina S, Smith, Albert V, Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J, Barroso, Inês, Bennett, David A, Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B, Buchman, Aron S, Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A, Cawthon, Peggy M, Cederberg, Henna, Chen, Zhao, Cho, Nam H, Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R, De Jager, Philip L, Demuth, Ilja, Dhonukshe-Rutten, Rosalie AM, Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W, Erdos, Mike, Eriksson, Johan G, Eriksson, Joel, Estrada, Karol, Evans, Daniel S, Feitosa, Mary F, Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L, Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L, Hayward, Caroline, Hofman, Albert, Hoffman, Eric P, Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J, Hubbard, Alan, Huffman, Kim M, Husted, Lise B, Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M, Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpeläinen, Tuomas O, Klopp, Norman, Kloth, Jacqueline SL, Koistinen, Heikki A, Kraus, William E, Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L, Launer, Lenore J, Lee, Jong-Young, Lerch, Markus M, Lewis, Joshua R, Lind, Lars, Lindgren, Cecilia, and Liu, Yongmei

Subjects
Humans, Thinness, 17-Hydroxysteroid Dehydrogenases, Aldehyde Oxidoreductases, Extracellular Matrix Proteins, Body Composition, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Regulatory Elements, Transcriptional, Versicans, Genome-Wide Association Study, Insulin Receptor Substrate Proteins, ADAMTS Proteins, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Human Genome, Genetics, 1.1 Normal biological development and functioning
Abstract

Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p

Published
2017

21. Adaptation of the Charlson Comorbidity Index for Register-Based Research in Sweden [Corrigendum]

Author

Ludvigsson, Jonas F, primary, Appelros, Peter, additional, Askling, Johan, additional, Byberg, Liisa, additional, Carrero, Juan-Jesus, additional, Ekström, Anna Mia, additional, Ekström, Magnus, additional, Smedby, Karin Ekström, additional, Hagström, Hannes, additional, James, Stefan, additional, Järvholm, Bengt, additional, Michaelsson, Karl, additional, Pedersen, Nancy L, additional, Sundelin, Helene, additional, Sundquist, Kristina, additional, and Sundström, Johan, additional

Published
2023
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23. Adaptation of the Charlson Comorbidity Index for Register-Based Research in Sweden [Corrigendum]

Author

Ludvigsson,Jonas F, Appelros,Peter, Askling,Johan, Byberg,Liisa, Carrero,Juan-Jesus, Ekström,Anna Mia, Ekström,Magnus, Smedby,Karin Ekström, Hagström,Hannes, James,Stefan, Järvholm,Bengt, Michaelsson,Karl, Pedersen,Nancy L, Sundelin,Helene, Sundquist,Kristina, Sundström,Johan, Ludvigsson,Jonas F, Appelros,Peter, Askling,Johan, Byberg,Liisa, Carrero,Juan-Jesus, Ekström,Anna Mia, Ekström,Magnus, Smedby,Karin Ekström, Hagström,Hannes, James,Stefan, Järvholm,Bengt, Michaelsson,Karl, Pedersen,Nancy L, Sundelin,Helene, Sundquist,Kristina, and Sundström,Johan

Abstract

Ludvigsson JF, Appelros P, Askling J, et al. Clin Epidemiol. 2021;13:21–41. The authors have advised that the Charlson Comorbidity Index (CCI) scripts linked to this paper have been updated accordingly and are available for R, SAS, and STATA (https://github.com/bjoroeKI/Charlson-comorbidity-index-revisited). Mild liver disease (international classification of disease, ICD) code version 10: in Table 1 on page 30, K70.3 is listed twice. In the revised script, one of these have been replaced by K70.9 (hence both K70.3 and K70.9 are now listed in the CCI scripts). Cancer, ICD-9: the code 173 in Table 1 on page 33 is not relevant and has been deleted from the CCI scripts. AIDS, ICD-10: the code Z11.4 represents health check-up for HIV but the diagnosis may not have been confirmed. Z11.4 in Table 1 on page 37 has hence been deleted from the CCI scripts. Also, the code Z71.1 (“no diagnosis”) in Table 1 on page 37 has been replaced by Z71.7 (counselling for HIV).

Published
2023

29. Association of vitamin D status with arterial blood pressure and hypertension risk: a mendelian randomisation study

Author

Vimaleswaran, Karani S, Cavadino, Alana, Berry, Diane J, Jorde, Rolf, Dieffenbach, Aida Karina, Lu, Chen, Alves, Alexessander Couto, Heerspink, Hiddo J Lambers, Tikkanen, Emmi, Eriksson, Joel, Wong, Andrew, Mangino, Massimo, Jablonski, Kathleen A, Nolte, Ilja M, Houston, Denise K, Ahluwalia, Tarunveer Singh, van der Most, Peter J, Pasko, Dorota, Zgaga, Lina, Thiering, Elisabeth, Vitart, Veronique, Fraser, Ross M, Huffman, Jennifer E, de Boer, Rudolf A, Schöttker, Ben, Saum, Kai-Uwe, McCarthy, Mark I, Dupuis, Josée, Herzig, Karl-Heinz, Sebert, Sylvain, Pouta, Anneli, Laitinen, Jaana, Kleber, Marcus E, Navis, Gerjan, Lorentzon, Mattias, Jameson, Karen, Arden, Nigel, Cooper, Jackie A, Acharya, Jayshree, Hardy, Rebecca, Raitakari, Olli, Ripatti, Samuli, Billings, Liana K, Lahti, Jari, Osmond, Clive, Penninx, Brenda W, Rejnmark, Lars, Lohman, Kurt K, Paternoster, Lavinia, Stolk, Ronald P, Hernandez, Dena G, Byberg, Liisa, Hagström, Emil, Melhus, Håkan, Ingelsson, Erik, Mellström, Dan, Ljunggren, Östen, Tzoulaki, Ioanna, McLachlan, Stela, Theodoratou, Evropi, Tiesler, Carla M T, Jula, Antti, Navarro, Pau, Wright, Alan F, Polasek, Ozren, Wilson, James F, Rudan, Igor, Salomaa, Veikko, Heinrich, Joachim, Campbell, Harry, Price, Jacqueline F, Karlsson, Magnus, Lind, Lars, Michaëlsson, Karl, Bandinelli, Stefania, Frayling, Timothy M, Hartman, Catharina A, Sørensen, Thorkild I A, Kritchevsky, Stephen B, Langdahl, Bente Lomholt, Eriksson, Johan G, Florez, Jose C, Spector, Tim D, Lehtimäki, Terho, Kuh, Diana, Humphries, Steve E, Cooper, Cyrus, Ohlsson, Claes, März, Winfried, de Borst, Martin H, Kumari, Meena, Kivimaki, Mika, Wang, Thomas J, Power, Chris, Brenner, Hermann, Grimnes, Guri, van der Harst, Pim, Snieder, Harold, Hingorani, Aroon D, Pilz, Stefan, Whittaker, John C, Järvelin, Marjo-Riitta, and Hyppönen, Elina

Published
2014
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37. Self-reported physical activity and different cardiovascular diseases-Results from updated measurements over 40 years

Author

Lind, Lars, Zethelius, Björn, Byberg, Liisa, Lind, Lars, Zethelius, Björn, and Byberg, Liisa

Abstract

Background Self-reported leisure-time physical activity (PA) has previously been linked to risk of cardiovascular disease (CVD). We now aim to investigate the strength of associations between PA and different CVDs and how the risk varies with age. Methods PA and traditional CV risk factors assessed by a questionnaire on a four-level scale in 2,175 men at age 50 years in the ULSAM study. Examinations were thereafter repeated at ages 60, 70, and 77. Results During 40 years follow-up, 883 individuals experienced a CVD (myocardial infarction, stroke, or heart failure). Using data from all four examinations, a graded reduction in risk of incident CVD was seen with increasing PA (HR 0.84, 95%CI; 0.77-0.93, p= 0.001 for trend test). PA was related to myocardial infarction (HR 0.84, 95%CI; 0.74-0.95, 490 cases), heart failure (HR 0.79, 95%CI; 0.68-0.91, 356 cases), but only of borderline significance vs ischemic stroke (HR 0.85, 95%CI; 0.73-1.00, 315 cases) when the CVDs were analyzed separately. Adjusting for traditional CV risk factors attenuated all relationships between PA and incident CVD, and PA did not improve discrimination of CVD when added on top of risk factors. When 10-year risk was calculated from each examination, age 70 was the time-point when PA was most closely related to incident CVD. Conclusion Leisure-time physical activity is related to future CVD. This was most evident at 70 years of age. If a causal relationship between self-reported PA and CVD exists, this relationship might to a major degree be mediated by traditional risk factors.

Published
2022
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38. A posteriori Dietary Patterns in 71-year-old Swedish Men and the Prevalence of Sarcopenia 16 Years Later

Author

Karlsson, Mikael, Becker, Wulf, Cederholm, Tommy E., Byberg, Liisa, Karlsson, Mikael, Becker, Wulf, Cederholm, Tommy E., and Byberg, Liisa

Abstract

The role of diet in sarcopenia is unclear, and results from studies using dietary patterns (DP) are inconsistent. We assessed how adherences to a posteriori DP are associated with the prevalence of sarcopenia and its components 16 years later. Four DP were defined in the Uppsala Longitudinal Study of Adult Men at baseline (n 1133, average age 71 years). Among 257 men with information at follow-up, 19 % (n 50) had sarcopenia according to the European Working Group on sarcopenia in Older People 2 definition. Adherence to DP2 (mainly characterised by high intake of vegetables, green salad, fruit, poultry, rice and pasta) was non-linearly associated with sarcopenia; adjusted OR and 95 % CI for medium and high v. low adherence: 0·41 (0·17, 0·98) and 0·40 (0·17, 0·94). The OR per standard deviation (sd) higher adherence to DP2 was 0·70 (0·48, 1·03). Adjusted OR (95 % CI) for 1 sd higher adherence to DP1 (mainly characterised by high consumption of milk and cereals), DP3 (mainly characterised by high consumption of bread, cheese, marmalade, jam and sugar) and DP4 (mainly characterised by high consumption of potatoes, meat and egg and low consumption of fermented milk) were 1·04 (0·74, 1·46), 1·19 (0·71, 2·00) and 1·08 (0·77, 1·53), respectively. There were no clear associations between adherence to the DP and muscle strength, muscle mass, physical performance or sarcopenia using EWGSOP1 (sarcopenia n 54). Our results indicate that diet may be a potentially modifiable risk factor for sarcopenia in old Swedish men.

Published
2022
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39. Milk and Fermented Milk Consumption and Risk of Stroke : Longitudinal Study

Author

Olsson, Erika, Larsson, Susanna C., Höijer, Jonas, Kilander, Lena, Byberg, Liisa, Olsson, Erika, Larsson, Susanna C., Höijer, Jonas, Kilander, Lena, and Byberg, Liisa

Abstract

The role of milk and fermented milk consumption in stroke risk is unclear. We investigated associations of time-updated information on milk and fermented milk consumption (1997 and 2009) with total stroke, cerebral infarction, and hemorrhagic stroke risk among 79,618 Swedish women and men (mean age 61.3 years). During a mean follow-up of 17.7 years, we identified 9735 incident cases of total stroke, of which 7573 were cerebral infarctions, 1470 hemorrhagic strokes, and 692 unspecified strokes. Compared with an intake of 100 g/day of milk, the multivariable-adjusted hazard ratios (95% confidence interval) of cerebral infarction were 1.05 (1.02-1.08) for 0 g/day, 0.97 (0.95-0.99) for 200 g/day, 0.96 (0.92-1.00) for 400 g/day, 0.98 (0.94-1.03) for 600 g/day, and 1.01 (0.94-1.07) for 800 g/day. Corresponding estimates for hemorrhagic stroke were 0.98 (0.91-1.05) for 0 g/day, 1.02 (0.97-1.07) for 200 g/day, 1.07 (0.98-1.17) for 400 g/day, 1.13 (1.02-1.25) for 600 g/day, and 1.19 (1.03-1.36) for 800 g/day. No associations were observed between milk consumption and total stroke or for fermented milk consumption and any of the stroke outcomes. Higher long-term milk consumption based on repeated measures of intake was weakly and non-linearly associated with cerebral infarction, and was directly associated with hemorrhagic stroke.

Published
2022
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