The Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA)

Neville, Charlotte; Cruise, Sharon; Burns, Frances

doi:10.1007/978-3-030-22009-9_346

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…Follow‐up loss is natural for cohort studies. The follow‐up rate differed depending on the follow‐up interval, follow‐up period, collection data, and survey method, but the follow‐up rate (61.5%) of the data used in the present study was similar to that of existing population‐based middle‐aged cohort studies 42–44 …”

Section: Discussionsupporting

confidence: 52%

“…The follow-up rate differed depending on the follow-up interval, follow-up period, collection data, and survey method, but the follow-up rate (61.5%) of the data used in the present study was similar to that of existing population-based middle-aged cohort studies. [42][43][44] Despite these potential limitations, our results provide valuable insights into the impact of MHO on diabetes development through a causal inference method based on time-varying exposure. We considered physician diagnosis and medication use to identify as many patients with diabetes as possible, similarly to previous studies.…”

Section: Discussionmentioning

confidence: 99%

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Metabolically healthy obese individuals are still at high risk for diabetes: Application of the marginal structural model

Lee,

Park

2023

Diabetes Obesity Metabolism

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AimTo assess the effect of obesity phenotype on the incidence of diabetes, considering phenotype as a time‐varying exposure.MethodsWe used community‐based cohort data from the Korean Genome and Epidemiology Study, with a 16‐year follow‐up period. Obesity phenotype was determined using body mass index and metabolic syndrome criteria. The influence of obesity phenotype on the occurrence of diabetes was evaluated using a Cox proportional hazard model and a marginal structural model (MSM).ResultsObesity phenotypes were defined in 6265 individuals, with diabetes identified in 903 (14.4%) during the follow‐up period. Individuals with metabolically healthy obesity (MHO) exhibited a higher risk of diabetes compared to those with metabolically healthy normal weight (MHNW), with a hazard ratio (HR) of 1.48 (95% confidence interval [CI] 1.15‐1.90). This association remained significant after applying the MSM (HR 1.49, 95% CI 1.01‐2.20). Moreover, various sensitivity analyses consistently demonstrated a higher risk of diabetes in individuals with MHO compared to those with MHNW.ConclusionsEven when obesity phenotype was treated as a time‐varying exposure, individuals with MHO were still at higher risk for developing diabetes than those with MHNW. Consequently, such individuals should aim to avoid transitioning to a metabolically unfavourable state and strive to reduce their body weight to a normal range.

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Section: Discussionsupporting

confidence: 52%

Section: Discussionmentioning

confidence: 99%

Metabolically healthy obese individuals are still at high risk for diabetes: Application of the marginal structural model

Lee,

Park

2023

Diabetes Obesity Metabolism

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“…The CAIDE score in the population included in this analysis from the PREVENT cohort is lower compared to the FINGER cohort intervention study where the score was originally developed (PREVENT: 5.95 vs FINGER: 7.76 (intervention) and 7.27 (control) [ 46 ]), and it may be that any EWG score associations would only be seen in a cohort with a higher mean CAIDE score where there is more potential for modification. As age is one of the important contributors to the overall CAIDE score, it is worth replicating this analysis between EWG scores and CAIDE score in an older cohort (such as the NICOLA or UK Biobank cohorts [ 47 , 48 ]) to understand if there is an association in later in midlife, where the mean cohort CAIDE score would be expected to be higher due to age.…”

Section: Discussionmentioning

confidence: 99%

Adherence to the Eatwell Guide and cardiometabolic, cognitive and neuroimaging parameters: an analysis from the PREVENT dementia study

Gregory,

Griffiths,

Jennings

et al. 2024

Nutr Metab (Lond)

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Background The Eatwell guide reflects the UK government's recommendations for a healthy and balanced diet. Previous research has identified associations between healthy eating patterns and both cardiovascular and brain health, although there is little evidence specifically focusing on the Eatwell Guide. To date no research has investigated associations between the Eatwell Guide and risk for future dementia. Methods Data from the PREVENT dementia cohort study baseline visit was used in this analysis. Binary and graded Eatwell Guide scores (BEWG, GEWG) were created from a self-reported Food Frequency Questionnaire. The CAIDE score was included as the primary outcome measure to represent risk for future Alzheimer’s disease. Secondary outcome measures included cardiometabolic health measures and brain health measures. Generalised additive models were run in R. Results A total of 517 participants were included in the analysis, with a mean BEWG score of 4.39 (± 1.66) (out of a possible 12 points) and GEWG score of 39.88 (± 6.19) (out of a possible 60 points). There was no significant association between either Eatwell Guide score and the CAIDE score (BEWG β: 0.07, 95% confidence interval (CI): -0.07, 0.22; GEWG β: 0.02, 95% CI: -0.02, 0.06) or any measures of brain health. There was a significant association between higher GEWG score and lower systolic and diastolic blood pressure and body mass index (BMI) (systolic β: -0.24, 95% CI: -0.45, -0.03; diastolic β: -0.16, 95% CI: -0.29, -0.03; BMI β: -0.09, 95% CI: -0.16, -0.01). Conclusions Although not directly associated with the CAIDE score, the Eatwell Guide dietary pattern may be beneficial for dementia prevention efforts through the modification of hypertension and obesity, which are both known risk factors for dementia. Future work could replicate these findings in other UK-based cohorts as well as further development of Eatwell Guide scoring methodologies.

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“…The CAIDE score in the population included in this analysis from the PREVENT cohort is lower compared to the FINGER cohort intervention study where the score was originally developed (PREVENT: 5.95 vs FINGER: 7.76 (intervention) and 7.27 (control) (62)), and it may be that any EWG score associations would only be seen in a cohort with a higher mean CAIDE score where there is more potential for modification. As age is one of the important contributors to the overall CAIDE score, it is worth replicating this analysis between EWG scores and CAIDE score in an older cohort (such as the NICOLA or UK Biobank cohorts (63, 64)) to understand if there is an association in later in midlife, where the mean cohort CAIDE score would be expected to be higher due to age.…”

Section: Discussionmentioning

confidence: 99%

Adherence to the Eatwell Guide and cardiometabolic, cognitive and neuroimaging parameters: An analysis from the PREVENT Dementia study

Gregory,

Griffiths,

Jennings

et al. 2023

Preprint

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Healthy diet behaviours are important in a globally ageing population, particularly in relation to cardiometabolic and brain health. The Eatwell guide (EWG) reflects the UK government's recommendations for a healthy and balanced diet. Data from the PREVENT dementia cohort study baseline visit was used in this analysis. Binary and graded EWG scores (BEWG, GEWG) were created from a self-reported Food Frequency Questionnaire. The CAIDE score was included as the primary outcome measure to represent risk for future AD. Secondary outcome measures included cardiometabolic health measures, and brain health measures. Generalised additive models were run in R. A total of 517 participants were included in the analysis, with a mean BEWG score of 4.39 (+/-1.66) (out of a possible 12 points) and GEWG score of 39.88 (+/-6.19) (out of a possible 60 points). There was no significant association between either EWG score and the CAIDE (BEWG beta: 0.07; p: 0.32; GEWG beta: 0.02, p: 0.36) or any measures of brain health. There was a significant association between higher GEWG score and lower systolic and diastolic blood pressure and body mass index (BMI) (systolic beta: -0.24, p: 0.03; diastolic beta: -0.16, p: 0.01; BMI beta: -0.09, p: 0.02). Although not directly associated with the CAIDE score, the EWG dietary pattern may be beneficial for dementia prevention efforts through modification of hypertension and obesity, which are both known risk factors for dementia. Future work could replicate these findings in other UK-based cohorts as well as further development of EWG scoring methodologies.

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The Northern Ireland Cohort for the Longitudinal Study of Ageing (NICOLA)

Cited by 5 publications

References 2 publications

Metabolically healthy obese individuals are still at high risk for diabetes: Application of the marginal structural model

Metabolically healthy obese individuals are still at high risk for diabetes: Application of the marginal structural model

Adherence to the Eatwell Guide and cardiometabolic, cognitive and neuroimaging parameters: an analysis from the PREVENT dementia study

Adherence to the Eatwell Guide and cardiometabolic, cognitive and neuroimaging parameters: An analysis from the PREVENT Dementia study

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