scholarly journals Stability and change in dietary scores and patterns across six waves of the Longitudinal Study of Australian Children

2017 ◽  
Vol 117 (8) ◽  
pp. 1137-1150 ◽  
Author(s):  
Constantine E. Gasser ◽  
Jessica A. Kerr ◽  
Fiona K. Mensah ◽  
Melissa Wake
Keyword(s):  
Longitudinal Study ◽  
Dietary Patterns ◽  
Population Based ◽  
Dietary Guidelines ◽  
Dietary Quality ◽  
Future Research ◽  
Factor Analyses ◽  
Stability And Change ◽  
Dietary Score ◽  
Trajectory Modelling

AbstractThis study aimed to derive and compare longitudinal trajectories of dietary scores and patterns from 2–3 to 10–11 years and from 4–5 to 14–15 years of age. In waves two to six of the Baby (B) Cohort and one to six of the Kindergarten (K) Cohort of the population-based Longitudinal Study of Australian Children, parents or children reported biennially on the study child’s consumption of twelve to sixteen healthy and less healthy food or drink items for the previous 24 h. For each wave, we derived a dietary score from 0 to 14, based on the 2013 Australian Dietary Guidelines (higher scores indicating healthier diet). We then used factor analyses to empirically derive dietary patterns for separate waves. Using group-based trajectory modelling, we generated trajectories of dietary scores and empirical patterns in 4504 B and 4640 K Cohort children. Four similar trajectories of dietary scores emerged for the B and K Cohorts, containing comparable proportions of children in each cohort: ‘never healthy’ (8·8 and 11·9 %, respectively), ‘moderately healthy’ (24·0 and 20·7 %), ‘becoming less healthy’ (16·6 and 27·3 %) and ‘always healthy’ (50·7 and 40·2 %). Deriving trajectories based on dietary patterns, rather than dietary scores, produced similar findings. For ‘becoming less healthy’ trajectories, dietary quality appeared to worsen from 7 years of age in both cohorts. In conclusion, a brief dietary measure administered repeatedly across childhood generated robust, nuanced dietary trajectories that were replicable across two cohorts and two methodologies. These trajectories appear ideal for future research into dietary determinants and health outcomes.

scholarly journals Dietary Quality is Associated with Reduced Risk of Diabetes among adults in Northern China: A Cross-sectional Study

2020 ◽  
pp. 1-28
Author(s):  
Siyue Tan ◽  
Haiwen Lu ◽  
Ruier Song ◽  
Jing Wu ◽  
Mingming Xue ◽  
...  
Keyword(s):  
Dietary Patterns ◽  
Inner Mongolia ◽  
Dairy Products ◽  
Diabetes Risk ◽  
Dietary Guidelines ◽  
High Salt ◽  
Diabetes Prevalence ◽  
Dietary Quality ◽  
Cross Sectional ◽  
The Relationship

Abstract In this study, we analysed the prevalence of diabetes in Inner Mongolia and explored the relationship between dietary patterns and diabetes using the Chinese Dietary Balance Index-16 (DBI-16). This study was a surveillance survey of Chronic Disease and Nutrition Monitoring among Chinese Adults in Inner Mongolia in 2015. Dietary data were collected using the 24-h dietary recall and weighing method over 3 consecutive days. Dietary quality was evaluated via the DBI-16. A generalized linear model was used to examine the associations between the DBI-16 and dietary patterns. The relationship between dietary patterns and diabetes was analysed using logistic regression. In Inner Mongolia, the diabetes prevalence was 8.5%, and the estimated standardized prevalence was 6.0%. Four major dietary patterns were identified: ‘meat/dairy products’, ‘traditional northern’, ‘high cereal/tuber’ and ‘high-salt/alcohol’. Generalized linear models showed that the ‘meat/dairy products’ pattern was relatively balanced (βLBS = −1.993, βHBS = −0.206, βDQD = −2.199; all P<0.05) and was associated with a lower diabetes risk (odds ratio [OR]: 0.565; 95% confidence interval [CI]: 0.338–0.945; P<0.05) after adjusting for potential confounders. The other three dietary patterns (i.e., ‘traditional northern’, ‘high cereal/tuber’ and ‘high-salt/alcohol’) exhibited relatively unbalanced dietary quality and were unassociated with diabetes risk. Diabetes prevalence in Inner Mongolia was moderate. The dietary quality of the ‘meat/dairy products’ pattern was relatively balanced and was correlated with a decreased risk of diabetes prevalence, suggesting that dietary quality may help decrease the diabetes prevalence and provide a suggestion for local dietary guidelines.

scholarly journals Nutritional intake and dietary patterns in pregnancy: a longitudinal study of women with lifetime eating disorders

2012 ◽  
Vol 108 (11) ◽  
pp. 2093-2099 ◽  
Author(s):  
Nadia Micali ◽  
Kate Northstone ◽  
Pauline Emmett ◽  
Ulrike Naumann ◽  
Janet L. Treasure
Keyword(s):  
Eating Disorders ◽  
Longitudinal Study ◽  
Dietary Patterns ◽  
Nutrient Intake ◽  
Food Group ◽  
Population Based ◽  
Food Groups ◽  
Caffeine Consumption ◽  
Parents And Children ◽  
In Pregnancy

There is limited knowledge about dietary patterns and nutrient/food intake during pregnancy in women with lifetime eating disorders (ED). The objective of the present study was to determine patterns of food and nutrient intake in women with lifetime ED as part of an existing longitudinal population-based cohort: the Avon Longitudinal Study of Parents and Children. Women with singleton pregnancies and no lifetime psychiatric disorders other than ED (n 9723) were compared with women who reported lifetime (ever) ED: (anorexia nervosa (AN, n 151), bulimia nervosa (BN, n 186) or both (AN+BN, n 77)). Women reported usual food consumption using a FFQ at 32 weeks of gestation. Nutrient intakes, frequency of consumption of food groups and overall dietary patterns were examined. Women with lifetime ED were compared with control women using linear regression and logistic regression (as appropriate) after adjustment for relevant covariates, and for multiple comparisons. Women with lifetime ED scored higher on the ‘vegetarian’ dietary pattern; they had a lower intake of meat, which was compensated by a higher consumption of soya products and pulses compared with the controls. Lifetime AN increased the risk for a high ( ≥ 2500 g/week) caffeine consumption in pregnancy. No deficiencies in mineral and vitamin intake were evident across the groups, although small differences were observed in macronutrient intakes. In conclusion, despite some differences in food group consumption, women with lifetime ED had similar patterns of nutrient intake to healthy controls. Important differences in relation to meat eating and vegetarianism were highlighted, as well as high caffeine consumption. These differences might have an important impact on fetal development.

scholarly journals Theoretical Food and Nutrient Composition of Whole-Food Plant-Based and Vegan Diets Compared to Current Dietary Recommendations

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 625 ◽  
Author(s):  
Micaela Karlsen ◽  
Gail Rogers ◽  
Akari Miki ◽  
Alice Lichtenstein ◽  
Sara Folta ◽  
...  
Keyword(s):  
Nutrient Composition ◽  
Dietary Guidelines ◽  
Food Plant ◽  
Leafy Vegetables ◽  
Dietary Quality ◽  
Vegan Diet ◽  
Future Research ◽  
Dietary Intakes ◽  
Sources Of Information ◽  
Dietary Recommendations

Public interest in popular diets is increasing, in particular whole-food plant-based (WFPB) and vegan diets. Whether these diets, as theoretically implemented, meet current food-based and nutrient-based recommendations has not been evaluated in detail. Self-identified WFPB and vegan diet followers in the Adhering to Dietary Approaches for Personal Taste (ADAPT) Feasibility Survey reported their most frequently used sources of information on nutrition and cooking. Thirty representative days of meal plans were created for each diet. Weighted mean food group and nutrient levels were calculated using the Nutrition Data System for Research (NDSR) and data were compared to DRIs and/or USDA Dietary Guidelines/MyPlate meal plan recommendations. The calculated HEI-2015 scores were 88 out of 100 for both WFPB and vegan meal plans. Because of similar nutrient composition, only WFPB results are presented. In comparison to MyPlate, WFPB meal plans provide more total vegetables (180%), green leafy vegetables (238%), legumes (460%), whole fruit (100%), whole grains (132%), and less refined grains (−74%). Fiber level exceeds the adequate intakes (AI) across all age groups. WFPB meal plans failed to meet the Recommended Dietary Allowances (RDA)s for vitamin B12 and D without supplementation, as well as the RDA for calcium for women aged 51–70. Individuals who adhere to WFBP meal plans would have higher overall dietary quality as defined by the HEI-2015 score as compared to typical US intakes with the exceptions of calcium for older women and vitamins B12 and D without supplementation. Future research should compare actual self-reported dietary intakes to theoretical targets.

scholarly journals Parenting style as a predictor of dietary score change in children from ages 4 to 14 years. Findings from the Longitudinal Study of Australian Children

2021 ◽  
pp. 1-20
Author(s):  
Alissa J Burnett ◽  
Karen E Lamb ◽  
Alison C Spence ◽  
Kathleen E Lacy ◽  
Anthony Worsley
Keyword(s):  
Longitudinal Study ◽  
Parenting Style ◽  
Parenting Styles ◽  
Diet Quality ◽  
Quality Score ◽  
Dietary Guidelines ◽  
Dietary Quality ◽  
Positive Effects ◽  
Maternal Parenting ◽  
Over Time

Objective: To examine associations between parenting style and changes in dietary quality score across childhood. Design: This longitudinal analysis included the child’s frequency of consumption for twelve food and drink items reported by mothers (at child ages 4-8 years) and children (at ages 10-14 years) during face-to-face interviews biennially. These items were combined into dietary scores based on the Australian Dietary Guidelines. Parenting styles were classified at baseline as authoritative, authoritarian, permissive and disengaged. Multilevel modelling was used to examine changes in diet quality score over time by maternal parenting styles. Setting: The Longitudinal Study of Australian Children Participants: A total of 4282 children aged 4 to 14 years. Results: Children’s diet quality score declined over time between ages 4 and 14 years (β=-0.10, 95% CI [-0.11, -0.08]). There was strong evidence to suggest that change in diet quality differed dependent on baseline maternal parenting style, although diet quality declined for all groups. Children with authoritative mothers had the greatest decline in diet quality score over time (β=-0.13; 95% CI [-0.18, -0.08]) while children with disengaged mothers had the lowest decline (-0.03; 95% CI [-0.07, 0.01]). However, it is important to note that children with authoritative mothers had a better dietary quality score than children of permissive or disengaged mothers for most of their childhood. Conclusion: These findings question the previous assumptions that early exposure to an authoritative parenting style has lasting positive effects on the dietary intake of children.

scholarly journals Prepregnancy dietary patterns and risk of preterm birth and low birth weight: findings from the Australian Longitudinal Study on Women's Health

2020 ◽  
Vol 111 (5) ◽  
pp. 1048-1058
Author(s):  
Dereje G Gete ◽  
Michael Waller ◽  
Gita D Mishra
Keyword(s):  
Longitudinal Study ◽  
Birth Weight ◽  
Preterm Birth ◽  
Low Birth Weight ◽  
Women's Health ◽  
Dietary Patterns ◽  
Lower Risk ◽  
Factor Analyses ◽  
Spontaneous Preterm Birth ◽  
Australian Longitudinal Study

ABSTRACT Background Findings from previous studies on associations between prepregnancy dietary patterns and preterm birth and low birth weight (LBW) are limited and inconsistent. Objectives To examine the association between prepregnancy dietary patterns and the risk of preterm birth and LBW. Methods This study included 3422 and 3508 singleton live births from the Australian Longitudinal Study on Women's Health (ALSWH) for the analyses of preterm birth and LBW, respectively. We included women who were nulliparous and nonpregnant at baseline surveys. We used factor analyses and the Healthy Eating Index-2015 (HEI-2015) score to derive maternal dietary patterns. Four dietary patterns were identified with factor analyses: meats and high-fats; prudent diets; sugar, refined grains, and processed foods; and traditional vegetables. Preterm birth and LBW were assessed using maternal reports from ALSWH data between 2003 and 2015. Multivariable logistic regression analyses were used. Results Greater adherence to the traditional vegetables pattern before pregnancy was associated with a lower risk of preterm birth and spontaneous preterm birth after adjustments for lifestyle factors and pregnancy complications, highest compared with lowest tertile (adjusted OR = 0.72, 95% CI: 0.53, 0.99) and (RR ratio = 0.62, 95% CI: 0.39, 1.00), respectively. However, these associations were attenuated by the prepregnancy BMI. No significant associations were observed between prepregnancy dietary patterns and LBW. Conclusion This study suggests that better adherence to the traditional vegetables pattern before pregnancy is associated with a lower risk of preterm birth, particularly spontaneous preterm birth among nulliparous women. This finding warrants further examination.

scholarly journals A review of statistical methods for dietary pattern analysis

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Junkang Zhao ◽  
Zhiyao Li ◽  
Qian Gao ◽  
Haifeng Zhao ◽  
Shuting Chen ◽  
...  
Keyword(s):  
Statistical Methods ◽  
Dietary Patterns ◽  
Dietary Pattern ◽  
Pattern Analysis ◽  
Compositional Data ◽  
Dietary Quality ◽  
Future Research ◽  
Compositional Data Analysis ◽  
Advantages And Disadvantages ◽  
Dietary Pattern Analysis

Abstract Background Dietary pattern analysis is a promising approach to understanding the complex relationship between diet and health. While many statistical methods exist, the literature predominantly focuses on classical methods such as dietary quality scores, principal component analysis, factor analysis, clustering analysis, and reduced rank regression. There are some emerging methods that have rarely or never been reviewed or discussed adequately. Methods This paper presents a landscape review of the existing statistical methods used to derive dietary patterns, especially the finite mixture model, treelet transform, data mining, least absolute shrinkage and selection operator and compositional data analysis, in terms of their underlying concepts, advantages and disadvantages, and available software and packages for implementation. Results While all statistical methods for dietary pattern analysis have unique features and serve distinct purposes, emerging methods warrant more attention. However, future research is needed to evaluate these emerging methods’ performance in terms of reproducibility, validity, and ability to predict different outcomes. Conclusion Selection of the most appropriate method mainly depends on the research questions. As an evolving subject, there is always scope for deriving dietary patterns through new analytic methodologies.

scholarly journals Dietary patterns and depressive symptoms in a UK cohort of men and women: a longitudinal study

2017 ◽  
Vol 21 (5) ◽  
pp. 831-837 ◽  
Author(s):  
Kate Northstone ◽  
Carol Joinson ◽  
Pauline Emmett
Keyword(s):  
Depressive Symptoms ◽  
Longitudinal Study ◽  
Dietary Patterns ◽  
Depression Scale ◽  
Principal Component ◽  
Population Based ◽  
Reverse Causality ◽  
Parents And Children ◽  
Temporal Relationships ◽  
Study Child

AbstractObjectiveThere is evidence to suggest that individual components of dietary intake are associated with depressive symptoms. Studying the whole diet, through dietary patterns, has become popular as a way of overcoming intercorrelations between individual dietary components; however, there are conflicting results regarding associations between dietary patterns and depressive symptoms. We examined the associations between dietary patterns extracted using principal component analysis and depressive symptoms, taking account of potential temporal relationships.DesignDepressive symptoms in parents were assessed using the Edinburgh Postnatal Depression Scale (EPDS) when the study child was 3 and 5 years of age. Scores >12 were considered indicative of the presence of clinical depressive symptoms. Diet was assessed via FFQ when the study child was 4 years of age.SettingLongitudinal population-based birth cohort.SubjectsMothers and fathers taking part in the Avon Longitudinal Study of Parents and Children when their study child was 3–5 years old.ResultsUnadjusted results suggested that increased scores on the ‘processed’ and ‘vegetarian’ patterns in women and the ‘semi-vegetarian’ pattern in men were associated with having EPDS scores ≥13. However, after adjustment for confounders all results were attenuated. This was the case for all those with available data and when considering a sub-sample who were ‘disease free’ at baseline.ConclusionsWe found no association between dietary patterns and depressive symptoms after taking account of potential confounding factors and the potential temporal relationship between them. This suggests that previous studies reporting positive associations may have suffered from reverse causality and/or residual confounding.

scholarly journals Mortality attributable to poor dietary patterns in Canada: Evidence from the nationally-representative nutrition survey linked with health administrative data

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Mahsa Jessri ◽  
Deirdre Hennessy ◽  
Claudia Sanmartin ◽  
Anan Bader Eddeen ◽  
Doug Manuel
Keyword(s):  
Diet Quality ◽  
Dietary Patterns ◽  
Dietary Guidelines ◽  
Dietary Quality ◽  
Administrative Databases ◽  
Evidence Based ◽  
Quality Indices ◽  
Nutrition Survey ◽  
All Cause Mortality ◽  
Nationally Representative

IntroductionDietary pattern modeling and linkage with health outcomes is essential for development of evidence-based dietary guidelines to support reduction of chronic diseases. National nutrition surveys are not routinely linked with health administrative databases, resulting in a lack of evidence on the health impact of unhealthy diets at the population level. Objectives and ApproachThis study is the first to use a nationally-representative nutrition survey (i.e., Canadian Community Health Survey-Nutrition-2004) linked with health administrative databases to examine the association of 5 key dietary quality indices with mortality risk. In total, 16,212 adults ≥20 years were followed for an average of 7.3 years. Two 24-hour dietary recalls were used to estimate the usual dietary intakes using the National Cancer Institute’s method. Weighted regression calibration was performed to obtain a true parameter relating diet (continuous) to mortality. Population Attributable Fractions were calculated to estimate the burden of all-cause mortality attributable to poor dietary patterns in Canada. ResultsThe 5  dietary quality indices examined were Dietary Approaches to Stop Hypertension(DASH); Dietary Guidelines for Americans Adherence Index 2015(DGAI); Healthy Eating Index-2010(HEI); Alternative HEI-2010(AHEI); and Mediterranean Style Dietary Pattern Score(MSDPS). Having a better diet quality (90%ile vs. 10%ile of index score) was associated with a significant 31-51% reduction in all-cause mortality hazard ratio among adults 45 to 80 years and 10-35% reduction in those ≥20 years (in order of significance: DASH, DGAI, HEI, AHEI and MSDPS). Survival benefit was incrementally greater for higher diet quality scores; however, even the 90%ile scores (Reference) were notably lower than the recommended levels (45.99% of recommended score). On average, 26.42% of all mortality in Canada was attributable to poor dietary patterns (range: 19.01% for MSDPS to 31.39% for DGAI). Conclusion/ImplicationsThe diet-attributable burden of mortality was higher than those reported for other behavioural risks (e.g., smoking). This research informs future formulation of nutrition interventions and policies with a focus on dietary patterns. This project demonstrates the importance of leveraging linked data and analytical capacity to inform future evidence-based nutrition policies.

scholarly journals Bidirectional associations between diet and body composition measures from 2 to 15 years: Longitudinal Study of Australian Children

2018 ◽  
Vol 121 (2) ◽  
pp. 212-220 ◽  
Author(s):  
Constantine E. Gasser ◽  
Fiona K. Mensah ◽  
Susan A. Clifford ◽  
Jessica A. Kerr ◽  
Raisa Cassim ◽  
...  
Keyword(s):  
Body Composition ◽  
Longitudinal Study ◽  
Standard Deviation ◽  
Dietary Patterns ◽  
Structural Equation ◽  
Large Scale ◽  
Dietary Guidelines ◽  
Standard Deviation Increase ◽  
Quality Diet ◽  
Bidirectional Associations

AbstractThis study investigates how dietary patterns and scores are associated with subsequent BMI and waist:height ratio (WHtR), and how BMI and WHtR are associated with subsequent dietary patterns or scores, from 2–3 to 10–11 and 4–5 to 14–15 years of age. In the Longitudinal Study of Australian Children, height, weight and waist circumference were measured biennially in children, yielding BMI z-score and WHtR. Parents, latterly children, reported frequency of child consumption of 12–16 food/drink items during the previous 24 h. At each wave, we empirically derived dietary patterns using factor analyses, and dietary scores based on the 2013 Australian Dietary Guidelines. We used structural-equation modelling to investigate cross-lagged associations (n 1972–2882) between diet and body composition measures in univariable and multivariable analyses. Dietary scores/patterns did not consistently predict WHtR and BMI z-score in the next wave, nor did BMI z-score and WHtR consistently predict diet in the next wave. The few associations seen were weak and often in the opposite direction to that hypothesised. The largest effect, associated with each standard deviation increase in BMI in wave 5 of the K cohort (age 12–13 years), was a 0·06 standard deviation estimated mean increase in dietary score (higher quality diet) in the subsequent wave (95 % CI 0·02, 0·11, P=0·003). Associations between dietary patterns/scores and body composition were not strongly evident in either direction. Better quantitative childhood dietary tools feasible for large-scale administration are needed to quantify how dietary patterns, energy intake and anthropometry co-develop.

scholarly journals Dietary scores at midlife and healthy ageing in a French prospective cohort

2016 ◽  
Vol 116 (4) ◽  
pp. 666-676 ◽  
Author(s):  
Karen E. Assmann ◽  
Valentina A. Andreeva ◽  
Géraldine M. Camilleri ◽  
Eric O. Verger ◽  
Claude Jeandel ◽  
...  
Keyword(s):  
Social Life ◽  
Healthy Ageing ◽  
Dietary Guidelines ◽  
Dietary Quality ◽  
Major Chronic Disease ◽  
Dietary Records ◽  
Health Related ◽  
Dietary Score

AbstractAlthough nutrition has been advocated as a major determinant of healthy ageing (HA), studies investigating the link between dietary quality and HA are scarce. We investigated the association between adherence to French food-based and nutrient-based guidelines at midlife, as assessed by three dietary scores, and HA. HA was assessed in 2007–2009, among 2329 participants of the SUpplémentation en Vitamines et Minéraux AntioXydants study aged 45–60 years at baseline (1994–1995) and initially free of diabetes, CVD and cancer. HA was defined as not developing any major chronic disease, good physical and cognitive functioning, no limitations in instrumental activities of daily living, no depressive symptoms, no health-related limitations in social life, good overall self-perceived health and no function-limiting pain. Data from repeated 24-h dietary records provided at baseline permitted the computation of the modified French Programme National Nutrition Santé-Guideline Score (mPNNS-GS), the Probability of Adequate Nutrient Intake Dietary Score (PANDiet) and the Diet Quality Index-International (DQI-I). Associations of these scores with HA were assessed by logistic regression. In 2007–2009, 42 % of men and 36 % of women met our criteria of HA. After adjustment for potential confounders, higher scores of the mPNNS-GS (ORquartile 4 v. quartile 1 1·44; 95 % CI 1·10, 1·87; Ptrend=0·006) and the PANDiet (1·28; 95 % CI 1·00, 1·64; Ptrend=0·03) were associated with higher odds of HA. We observed no association between DQI-I and HA. In conclusion, this study suggests a beneficial long-term role of high adherence to both food-based and nutrient-based French dietary guidelines for a HA process.

Sign in / Sign up

Export Citation Format

Share Document