Development of the food-based Lifelines Diet Score (LLDS) and its application in 129,369 Lifelines participants

Vinke, Petra C; Corpeleijn, Eva; Dekker, Louise H.; Jacobs, David R.; Navis, Gerjan; Kromhout, Daan

doi:10.1038/s41430-018-0205-z

Cited by 87 publications

(161 citation statements)

References 36 publications

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“…The quintiles for each product group were predefined in the total Lifelines cohort. Higher scores in women, individuals of older age and higher education level, support the validity of the LLDS [19].…”

Section: Dietary Assessmentmentioning

confidence: 73%

“…Since these guidelines are fully based on scientific evidence from international peer-reviewed literature, and not on expert opinions, they are suitable for use in scientific research. The development of this food-based diet score has been described in detail elsewhere [19]. In short, the LLDS ranks the relative intake of nine food groups with proven positive health effects and three food groups with proven negative health effects.…”

Section: Dietary Assessmentmentioning

confidence: 99%

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Socio-economic disparities in the association of diet quality and type 2 diabetes incidence in the Dutch Lifelines cohort

et al. 2020

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A B S T R A C TBackground: It is unknown whether a socio-economic difference exists in the association of diet quality with type 2 diabetes incidence, nor how diet influences the socioeconomic inequality in diabetes burden. Methods: In 91,025 participants of the population-based Lifelines Cohort (aged 30, no diabetes or cardiovascular diseases at baseline), type 2 diabetes incidence was based on self-report, fasting glucose 7¢0 mmol/l and/or HbA1c 6¢5%. The evidence-based Lifelines Diet Score was calculated with data of a 110-item food frequency questionnaire. Socio-economic status (SES) was defined by educational level. Cox proportional hazards models were adjusted for age, gender, smoking, energy intake, alcohol intake and physical activity. Findings: In 279,796 person-years of follow-up, 1045 diabetes cases were identified. Incidence rate was 5¢7, 3¢2 and 2¢4 cases/1000 person-years in low, middle and high SES, respectively. Diet was associated with greater diabetes risk (HR(95%CI) in Q1 (poor diet quality) vs. Q5 (high diet quality) = 2¢11 (1¢70À2¢62)). SES was a moderator of the association(p INTERACTION = 0¢038). HRs for Q1 vs. Q5 were 1¢66 (1¢22À2¢.27) in low, 2¢76 (1¢86À4¢08) in middle and 2¢46 (1¢53À3¢97) in high SES. With population attributable fractions of 14¢8%, 40¢1% and 37¢3%, the expected number of cases/1000 person-years preventable by diet quality improvement was 0¢85 in low, 1¢28 in middle and 0¢90 in high SES.Interpretation: Diet quality improvement can potentially prevent one in three cases of type 2 diabetes, but because of a smaller impact in low SES, it will not narrow the socioeconomic health gap in diabetes burden. Funding: None.

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Section: Dietary Assessmentmentioning

confidence: 73%

Section: Dietary Assessmentmentioning

confidence: 99%

Socio-economic disparities in the association of diet quality and type 2 diabetes incidence in the Dutch Lifelines cohort

et al. 2020

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“…The intake of the complete cohort is described elsewhere and can be considered as representative for the intake in the Netherlands. [81] We acknowledge the limitations appurtenant to an FFQ, moreover this FFQ did not obtain direct data on fat type, fibre, salt intake and micronutrient intake (e.g. calcium).…”

Section: Discussionmentioning

confidence: 99%

Habitual dietary intake of IBD patients differs from population controls: a case–control study

et al. 2020

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Background Since evidence-based dietary guidelines are lacking for IBD patients, they tend to follow "unguided" dietary habits; potentially leading to nutritional deficiencies and detrimental effects on disease course. Therefore, we compared dietary intake of IBD patients with controls. Methods Dietary intake of macronutrients and 25 food groups of 493 patients (207 UC, 286 CD), and 1291 controls was obtained via a food frequency questionnaire. Results 38.6% of patients in remission had protein intakes below the recommended 0.8 g/kg and 86.7% with active disease below the recommended 1.2 g/kg. Multinomial logistic regression, corrected for age, gender and BMI, showed that (compared to controls) UC patients consumed more meat and spreads, but less alcohol, breads, coffee and dairy; CD patients consumed more non-alcoholic drinks, potatoes, savoury snacks and sugar and sweets but less alcohol, dairy, nuts, pasta and prepared meals. Patients with active disease consumed more meat, soup and sugar and sweets but less alcohol, coffee, dairy, prepared meals and rice; patients in remission consumed more potatoes and spreads but less alcohol, breads, dairy, nuts, pasta and prepared meals. Conclusions Patients avoiding potentially favourable foods and gourmandizing potentially unfavourable foods are of concern. Special attention is needed for protein intake in the treatment of these patients.

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“…Diet quality was assessed using the Lifelines Diet Score, which is described in greater detail elsewhere. [23] Creatinine excretion was calculated as the mean value derived from two urine samples collected over a 24-hour period [24]. The method applied for analysing the urine samples is described in detail elsewhere.…”

Section: Other Baseline Measurementsmentioning

confidence: 99%

Physical activity and 4-year changes in body weight in 52,498 non-obese people: The Lifelines Cohort

Byambasukh

Vinke

Kromhout

et al. 2020

Preprint

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Objectives: We investigated associations between daily-life physical activity (PA) and prospective weight gain in non-obese people. We also examined whether these associations were independent of other lifestyle factors and changes in muscle mass and whether they were age-dependent and changed over a person’s life course. Methods: The data were extracted from the Lifelines cohort study (N=52,498; 43.5% men) and excluded obese individuals (BMI>30kg/m 2 ). We used the validated SQUASH questionnaire to estimate moderate-to-vigorous (MVPA; MET≥4), moderate (MPA; MET between 4 and 6.5) and vigorous PA (VPA; MET≥6.5) within non-occupational (commuting and leisure) and occupational domains. Body weight was objectively measured and changes were standardized to a 4-year period. Separate analyses, adjusted for age, educational level, diet, smoking, alcohol consumption and changes in creatinine excretion (a marker of muscle mass), were performed for men and women. Results: The average weight gain was +0.45±0.03 kg in women. Relative to each reference groups (No-MVPA, No-MPA and No-VPA), non-occupational MVPA (Beta (95%CI): -0.34 kg (-0.56;-0.13)), MPA (-0.32 kg (-0.54;-0.10)) and VPA (-0.30 kg (-0.43;-0.18)) were associated with less gain in body weight in women after adjusting for potential confounders, described above. These associations were dose-dependent when physically active individuals were divided in tertiles. Beta-coefficients (95%CI) for the lowest, middle, and highest MVPA tertiles relative to the ‘No-MVPA’ were, respectively, -0.24 (-0.47;-0.02), -0.31 (-0.53;-0.08), and -0.38 (-0.61;-0.16) kg. The average weight gain in men was +0.13±0.03 kg, and only non-occupational VPA was associated with less body weight gain. Beta-coefficients (95%CI) for the VPA tertiles relative to the ‘No-VPA’ group were, respectively, -0.25 (-0.42;-0.09), -0.19 (-0.38;-0.01) and -0.20 (-0.38;-0.02) kg. However, after adjusting for potential confounders, the association was no longer significant in men. The potential benefits of non-occupational PA were age-stratified and mainly observed in younger adults (men: <35 years; women: <55 years). Moreover, occupational MVPA was not associated with favourable changes in body weight in males and females. Conclusion: Higher non-occupational MVPA, MPA, and VPA were associated with less weight gain in women <55 years. In younger men (<35 years), only non-occupational VPA was associated with less weight gain.

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Development of the food-based Lifelines Diet Score (LLDS) and its application in 129,369 Lifelines participants

Cited by 87 publications

References 36 publications

Socio-economic disparities in the association of diet quality and type 2 diabetes incidence in the Dutch Lifelines cohort

Socio-economic disparities in the association of diet quality and type 2 diabetes incidence in the Dutch Lifelines cohort

Habitual dietary intake of IBD patients differs from population controls: a case–control study

Physical activity and 4-year changes in body weight in 52,498 non-obese people: The Lifelines Cohort

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