2021
DOI: 10.3389/fnut.2021.779034
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Dairy Consumption, Lactase Persistence, and Mortality Risk in a Cohort From Southern Sweden

Abstract: Background: Whether high dairy consumption is related to longevity is still unclear, and additional studies of prospective cohorts with high-quality dietary data from populations with wide consumption ranges are needed.Objective: To examine the association between dairy consumption and mortality in a Swedish cohort.Design: Among 26,190 participants (62% females, 45–73 years old) without diabetes and cardiovascular disease from the population-based Malmö Diet and Cancer cohort, 7,156 individuals died during a m… Show more

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Cited by 4 publications
(5 citation statements)
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“…The updated meta-analysis of 21 studies [ [77] , [78] , [79] , [80] , [81] , [82] , [83] , [84] , [85] , [86] , [87] , [88] , [89] , [90] , [91] , [92] , [93] , [94] ], including 136,298 cases among >1,030,243 participants, revealed an inverse association between cheese consumption and all-cause mortality (highest compared with lowest: RR = 0.95; 95% CI: 0.92, 0.99; P = 0.0052; I 2 = 34%) ( Figure 2 and Supplemental Figure 2 ). In the dose–response meta-analysis of 14 studies [ 77 , 79 , [81] , [82] , [83] , [84] , [85] , [87] , [88] , [89] , [90] , [91] ], each 30-g/d cheese increment was associated with a 2% lower risk of all-cause mortality (RR = 0.98; 95% CI: 0.96, 1.00; P = 0.027; I 2 = 60%) ( Figure 4 and Supplemental Figure 3 ). Nonlinear analyses further showed a U-shaped association, where the lowest risk of all-cause mortality was observed at ∼40 g/d of cheese consumption ( P -nonlinearity < 0.001) ( Figure 5 A).…”
Section: Resultsmentioning
confidence: 99%
“…The updated meta-analysis of 21 studies [ [77] , [78] , [79] , [80] , [81] , [82] , [83] , [84] , [85] , [86] , [87] , [88] , [89] , [90] , [91] , [92] , [93] , [94] ], including 136,298 cases among >1,030,243 participants, revealed an inverse association between cheese consumption and all-cause mortality (highest compared with lowest: RR = 0.95; 95% CI: 0.92, 0.99; P = 0.0052; I 2 = 34%) ( Figure 2 and Supplemental Figure 2 ). In the dose–response meta-analysis of 14 studies [ 77 , 79 , [81] , [82] , [83] , [84] , [85] , [87] , [88] , [89] , [90] , [91] ], each 30-g/d cheese increment was associated with a 2% lower risk of all-cause mortality (RR = 0.98; 95% CI: 0.96, 1.00; P = 0.027; I 2 = 60%) ( Figure 4 and Supplemental Figure 3 ). Nonlinear analyses further showed a U-shaped association, where the lowest risk of all-cause mortality was observed at ∼40 g/d of cheese consumption ( P -nonlinearity < 0.001) ( Figure 5 A).…”
Section: Resultsmentioning
confidence: 99%
“…Genotyping was performed on the iScan System (Illumina, San Diego, CA, USA) according to the manufacturer’s recommended protocols. The quality control and imputation of rs4988235 have been described previously [ 7 ]. The LCT rs4988235 is a well-established genetic marker for non-fermented milk intake [ 7 ].…”
Section: Methodsmentioning
confidence: 99%
“…The quality control and imputation of rs4988235 have been described previously [ 7 ]. The LCT rs4988235 is a well-established genetic marker for non-fermented milk intake [ 7 ]. The rs4988235 genotype was categorized as CC (lactase deficiency), CT (lactase persistence), and TT (lactase persistence).…”
Section: Methodsmentioning
confidence: 99%
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“…We categorised the intake of dairy products (g/d) in groups to get as wide intake ranges as possible but still with enough number of participants in each group. The cut-offs have been used in a previous publication (16) . Non-fermented milk was categorised into 0–200, 200–400, 400–600, 600–800, 800–1000 and above 1000 g/d; fermented milk was categorised into 0, 0–100, 100–200, 200–300 and above 300 g/d; cheese was categorised into 0–20, 20–40, 40–60, 60–80, 80–100 and >100 g/d; cream intake was categorised into 0–10, 10–20, 20–30, 30–40, 40–50 and >50 g/d and butter intake was categorised into 0, 0–10, 10–20, 20–30, 30–40, 40–50 and >50 g/d.…”
Section: Methodsmentioning
confidence: 99%