IRIS publication 272119792
Capturing changes in dietary patterns among older adults: a latent class analysis of an ageing Irish cohort
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TY - JOUR - Harrington, J. M.,Dahly, D. L.,Fitzgerald, A. P.,Gilthorpe, M. S.,Perry, I. J. - 2014 - February - Public Health Nutrition - Capturing changes in dietary patterns among older adults: a latent class analysis of an ageing Irish cohort - Validated - () - 1 - 13 - OBJECTIVE: Data-driven approaches to dietary patterns are under-utilized; latent class analyses (LCA) are particularly rare. The present study used an LCA to identify subgroups of people with similar dietary patterns, explore changes in dietary patterns over a 10-year period and relate these dynamics to sociodemographic factors and health outcomes. DESIGN: The 1998 baseline and 2008 follow-up of the Cork and Kerry Diabetes and Heart Disease Study. Diets were assessed with a standard FFQ. LCA, under the assumption of conditional independence, was used to identify mutually exclusive subgroups with different dietary patterns, based on food group consumption. SETTING: Republic of Ireland. SUBJECTS: Men and women aged 50-69 years at baseline (n 923) and at 10-year follow-up (n 320). RESULTS: Three dietary classes emerged: Western, Healthy and Low-Energy. Significant differences in demographic, lifestyle and health outcomes were associated with class membership. Between baseline and follow-up most people remained 'stable' in their dietary class. Most of those who changed class moved to the Healthy class. Higher education was associated with transition to a healthy diet; lower education was associated with stability in an unhealthy pattern. Transition to a healthy diet was associated with higher CVD risk factors at baseline: respondents were significantly more likely to be smokers, centrally obese and to have hypertension (non-significant). CONCLUSIONS: LCA is useful for exploring dietary patterns transitions. Understanding the predictors of longitudinal stability/transitions in dietary patterns will help target public health initiatives by identifying subgroups most/least likely to change and most/least likely to sustain a change.OBJECTIVE: Data-driven approaches to dietary patterns are under-utilized; latent class analyses (LCA) are particularly rare. The present study used an LCA to identify subgroups of people with similar dietary patterns, explore changes in dietary patterns over a 10-year period and relate these dynamics to sociodemographic factors and health outcomes. DESIGN: The 1998 baseline and 2008 follow-up of the Cork and Kerry Diabetes and Heart Disease Study. Diets were assessed with a standard FFQ. LCA, under the assumption of conditional independence, was used to identify mutually exclusive subgroups with different dietary patterns, based on food group consumption. SETTING: Republic of Ireland. SUBJECTS: Men and women aged 50-69 years at baseline (n 923) and at 10-year follow-up (n 320). RESULTS: Three dietary classes emerged: Western, Healthy and Low-Energy. Significant differences in demographic, lifestyle and health outcomes were associated with class membership. Between baseline and follow-up most people remained 'stable' in their dietary class. Most of those who changed class moved to the Healthy class. Higher education was associated with transition to a healthy diet; lower education was associated with stability in an unhealthy pattern. Transition to a healthy diet was associated with higher CVD risk factors at baseline: respondents were significantly more likely to be smokers, centrally obese and to have hypertension (non-significant). CONCLUSIONS: LCA is useful for exploring dietary patterns transitions. Understanding the predictors of longitudinal stability/transitions in dietary patterns will help target public health initiatives by identifying subgroups most/least likely to change and most/least likely to sustain a change. - 1475-2727 (Electronic)13 - http://www.ncbi.nlm.nih.gov/pubmed/24564930http://www.ncbi.nlm.nih.gov/pubmed/24564930 DA - 2014/02 ER -
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@article{V272119792, = {Harrington, J. M. and Dahly, D. L. and Fitzgerald, A. P. and Gilthorpe, M. S. and Perry, I. J. }, = {2014}, = {February}, = {Public Health Nutrition}, = {Capturing changes in dietary patterns among older adults: a latent class analysis of an ageing Irish cohort}, = {Validated}, = {()}, pages = {1--13}, = {{OBJECTIVE: Data-driven approaches to dietary patterns are under-utilized; latent class analyses (LCA) are particularly rare. The present study used an LCA to identify subgroups of people with similar dietary patterns, explore changes in dietary patterns over a 10-year period and relate these dynamics to sociodemographic factors and health outcomes. DESIGN: The 1998 baseline and 2008 follow-up of the Cork and Kerry Diabetes and Heart Disease Study. Diets were assessed with a standard FFQ. LCA, under the assumption of conditional independence, was used to identify mutually exclusive subgroups with different dietary patterns, based on food group consumption. SETTING: Republic of Ireland. SUBJECTS: Men and women aged 50-69 years at baseline (n 923) and at 10-year follow-up (n 320). RESULTS: Three dietary classes emerged: Western, Healthy and Low-Energy. Significant differences in demographic, lifestyle and health outcomes were associated with class membership. Between baseline and follow-up most people remained 'stable' in their dietary class. Most of those who changed class moved to the Healthy class. Higher education was associated with transition to a healthy diet; lower education was associated with stability in an unhealthy pattern. Transition to a healthy diet was associated with higher CVD risk factors at baseline: respondents were significantly more likely to be smokers, centrally obese and to have hypertension (non-significant). CONCLUSIONS: LCA is useful for exploring dietary patterns transitions. Understanding the predictors of longitudinal stability/transitions in dietary patterns will help target public health initiatives by identifying subgroups most/least likely to change and most/least likely to sustain a change.OBJECTIVE: Data-driven approaches to dietary patterns are under-utilized; latent class analyses (LCA) are particularly rare. The present study used an LCA to identify subgroups of people with similar dietary patterns, explore changes in dietary patterns over a 10-year period and relate these dynamics to sociodemographic factors and health outcomes. DESIGN: The 1998 baseline and 2008 follow-up of the Cork and Kerry Diabetes and Heart Disease Study. Diets were assessed with a standard FFQ. LCA, under the assumption of conditional independence, was used to identify mutually exclusive subgroups with different dietary patterns, based on food group consumption. SETTING: Republic of Ireland. SUBJECTS: Men and women aged 50-69 years at baseline (n 923) and at 10-year follow-up (n 320). RESULTS: Three dietary classes emerged: Western, Healthy and Low-Energy. Significant differences in demographic, lifestyle and health outcomes were associated with class membership. Between baseline and follow-up most people remained 'stable' in their dietary class. Most of those who changed class moved to the Healthy class. Higher education was associated with transition to a healthy diet; lower education was associated with stability in an unhealthy pattern. Transition to a healthy diet was associated with higher CVD risk factors at baseline: respondents were significantly more likely to be smokers, centrally obese and to have hypertension (non-significant). CONCLUSIONS: LCA is useful for exploring dietary patterns transitions. Understanding the predictors of longitudinal stability/transitions in dietary patterns will help target public health initiatives by identifying subgroups most/least likely to change and most/least likely to sustain a change.}}, issn = {1475-2727 (Electronic)13}, = {http://www.ncbi.nlm.nih.gov/pubmed/24564930http://www.ncbi.nlm.nih.gov/pubmed/24564930}, source = {IRIS} }
Data as stored in IRIS
AUTHORS | Harrington, J. M.,Dahly, D. L.,Fitzgerald, A. P.,Gilthorpe, M. S.,Perry, I. J. | ||
YEAR | 2014 | ||
MONTH | February | ||
JOURNAL_CODE | Public Health Nutrition | ||
TITLE | Capturing changes in dietary patterns among older adults: a latent class analysis of an ageing Irish cohort | ||
STATUS | Validated | ||
TIMES_CITED | () | ||
SEARCH_KEYWORD | |||
VOLUME | |||
ISSUE | |||
START_PAGE | 1 | ||
END_PAGE | 13 | ||
ABSTRACT | OBJECTIVE: Data-driven approaches to dietary patterns are under-utilized; latent class analyses (LCA) are particularly rare. The present study used an LCA to identify subgroups of people with similar dietary patterns, explore changes in dietary patterns over a 10-year period and relate these dynamics to sociodemographic factors and health outcomes. DESIGN: The 1998 baseline and 2008 follow-up of the Cork and Kerry Diabetes and Heart Disease Study. Diets were assessed with a standard FFQ. LCA, under the assumption of conditional independence, was used to identify mutually exclusive subgroups with different dietary patterns, based on food group consumption. SETTING: Republic of Ireland. SUBJECTS: Men and women aged 50-69 years at baseline (n 923) and at 10-year follow-up (n 320). RESULTS: Three dietary classes emerged: Western, Healthy and Low-Energy. Significant differences in demographic, lifestyle and health outcomes were associated with class membership. Between baseline and follow-up most people remained 'stable' in their dietary class. Most of those who changed class moved to the Healthy class. Higher education was associated with transition to a healthy diet; lower education was associated with stability in an unhealthy pattern. Transition to a healthy diet was associated with higher CVD risk factors at baseline: respondents were significantly more likely to be smokers, centrally obese and to have hypertension (non-significant). CONCLUSIONS: LCA is useful for exploring dietary patterns transitions. Understanding the predictors of longitudinal stability/transitions in dietary patterns will help target public health initiatives by identifying subgroups most/least likely to change and most/least likely to sustain a change.OBJECTIVE: Data-driven approaches to dietary patterns are under-utilized; latent class analyses (LCA) are particularly rare. The present study used an LCA to identify subgroups of people with similar dietary patterns, explore changes in dietary patterns over a 10-year period and relate these dynamics to sociodemographic factors and health outcomes. DESIGN: The 1998 baseline and 2008 follow-up of the Cork and Kerry Diabetes and Heart Disease Study. Diets were assessed with a standard FFQ. LCA, under the assumption of conditional independence, was used to identify mutually exclusive subgroups with different dietary patterns, based on food group consumption. SETTING: Republic of Ireland. SUBJECTS: Men and women aged 50-69 years at baseline (n 923) and at 10-year follow-up (n 320). RESULTS: Three dietary classes emerged: Western, Healthy and Low-Energy. Significant differences in demographic, lifestyle and health outcomes were associated with class membership. Between baseline and follow-up most people remained 'stable' in their dietary class. Most of those who changed class moved to the Healthy class. Higher education was associated with transition to a healthy diet; lower education was associated with stability in an unhealthy pattern. Transition to a healthy diet was associated with higher CVD risk factors at baseline: respondents were significantly more likely to be smokers, centrally obese and to have hypertension (non-significant). CONCLUSIONS: LCA is useful for exploring dietary patterns transitions. Understanding the predictors of longitudinal stability/transitions in dietary patterns will help target public health initiatives by identifying subgroups most/least likely to change and most/least likely to sustain a change. | ||
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ISBN_ISSN | 1475-2727 (Electronic)13 | ||
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URL | http://www.ncbi.nlm.nih.gov/pubmed/24564930http://www.ncbi.nlm.nih.gov/pubmed/24564930 | ||
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