scholarly journals 1456Changes in dietary patterns from preconception to during pregnancy and its association with socio-demographic factors

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Dereje Gete ◽  
Michael Waller ◽  
Gita Mishra
Keyword(s):  
Dietary Patterns ◽  
Repeated Measures ◽  
Critical Role ◽  
Educational Status ◽  
Population Based ◽  
Lifestyle Factors ◽  
Healthy Eating Index ◽  
Mixed Effect ◽  
Traditional Vegetable ◽  
Socio Demographic Factors

Abstract Background Little is known about the changes in dietary patterns from preconception to during pregnancy, nor of their association with socio-demographic and lifestyle factors. This study, therefore, examined dietary patterns changes from preconception to during pregnancy and their associations with socio-demographic and lifestyle factors. Methods This study used data from the Australian Longitudinal Study on Women’s Health (ALSWH), a population-based prospective cohort study. Women’s dietary patterns were assessed using Healthy Eating Index-2015 (HEI-2015) score and the four patterns obtained from the factor analysis (meats, high-fats, and sugar; vegetable and grains; traditional vegetable; and fruit patterns). Multivariable linear regression and repeated measures mixed-effect models were used. Results Women’s scores increased on the ‘HEI-2015’, ‘traditional vegetable’, and ‘fruit’ patterns while the ‘vegetable and grains’ decreased from preconception to during pregnancy. Women with higher education were more likely to increase their HEI-2015 score and fruit consumption from preconception to during pregnancy respectively (β = 2.31, 95%CI: 0.02, 4.60) and (β = 23.78, 95%CI: 4.58, 42.97), than those with lower educational status. Single women were more likely to increase the consumption of vegetables and grains compared to married women (β = 76.08, 95% CI: 20.83, 131.32). Women with higher income had a greater increase in the HEI-2015 score than those with lower income (β = 3.02, 95% CI: 0.21, 5.83). Conclusion The findings indicate that there have been marked dietary changes from preconception to during pregnancy. Changes in healthy dietary patterns were influenced by education, marital status, and income. Key messages Early shaping of adequate dietary behaviours before pregnancy is very important for the mothers and their children's health since pre-conception diets have a critical role in placental and foetal tissue developments.

scholarly journals Changes in dietary patterns from preconception to during pregnancy and its association with socio-demographic and lifestyle factors

2021 ◽  
pp. 1-27
Author(s):  
Dereje G. Gete ◽  
Michael Waller ◽  
Gita D. Mishra
Keyword(s):  
Dietary Patterns ◽  
Repeated Measures ◽  
Educational Status ◽  
Population Based ◽  
Single Women ◽  
Lifestyle Factors ◽  
Healthy Eating Index ◽  
Mixed Effect ◽  
Mixed Effect Models ◽  
Traditional Vegetable

Abstracts Objective: To examine dietary patterns changes from preconception to during pregnancy and their associations with socio-demographic and lifestyle factors. Design: This study used data from the Australian Longitudinal Study on Women’s Health (ALSWH), a population-based prospective cohort study. Women’s dietary patterns were assessed using Healthy Eating Index-2015 (HEI-2015) score and the four patterns obtained from the factor analysis (Western diets; vegetable and grains; traditional vegetable; and fruit patterns). Multivariable linear regression and repeated measures mixed-effect models were used. Setting: A national representative survey which covers all Australian citizens and permanent residents in Australia. Participants: 621 women were included from the ALSWH. Results: Women’s scores increased on the ‘HEI-2015’, ‘traditional vegetable’, and ‘fruit’ patterns while the ‘vegetable and grains’ decreased from preconception to during pregnancy. Women with higher education were more likely to increase their HEI-2015 score and fruit consumption from preconception to during pregnancy respectively (β= 2.31, 95%CI: 0.02, 4.60) and (β= 23.78, 95%CI: 4.58, 42.97), than those with lower educational status. Single women were more likely to increase the consumption of vegetables and grains compared to married women (β= 76.08, 95% CI: 20.83, 131.32). Women with higher income had a greater increase in the HEI-2015 score than those with lower income (β= 3.02, 95% CI: 0.21, 5.83). Conclusion: The findings indicate that there have been marked dietary changes from preconception to during pregnancy. Changes in healthy dietary patterns were influenced by education, marital status, and income.

scholarly journals Association of a priori dietary patterns with depressive symptoms: a harmonised meta-analysis of observational studies

2019 ◽  
Vol 50 (11) ◽  
pp. 1872-1883 ◽  
Author(s):  
Mary Nicolaou ◽  
Marco Colpo ◽  
Esther Vermeulen ◽  
Liset E. M. Elstgeest ◽  
Mieke Cabout ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Dietary Patterns ◽  
Repeated Measures ◽  
Meta Analysis ◽  
A Priori ◽  
Dietary Exposure ◽  
Population Based ◽  
Healthy Eating Index ◽  
Cross Sectional ◽  
Depression Assessment

AbstractBackgroundReview findings on the role of dietary patterns in preventing depression are inconsistent, possibly due to variation in assessment of dietary exposure and depression. We studied the association between dietary patterns and depressive symptoms in six population-based cohorts and meta-analysed the findings using a standardised approach that defined dietary exposure, depression assessment and covariates.MethodsIncluded were cross-sectional data from 23 026 participants in six cohorts: InCHIANTI (Italy), LASA, NESDA, HELIUS (the Netherlands), ALSWH (Australia) and Whitehall II (UK). Analysis of incidence was based on three cohorts with repeated measures of depressive symptoms at 5–6 years of follow-up in 10 721 participants: Whitehall II, InCHIANTI, ALSWH. Three a priori dietary patterns, Mediterranean diet score (MDS), Alternative Healthy Eating Index (AHEI-2010), and the Dietary Approaches to Stop Hypertension (DASH) diet were investigated in relation to depressive symptoms. Analyses at the cohort-level adjusted for a fixed set of confounders, meta-analysis used a random-effects model.ResultsCross-sectional and prospective analyses showed statistically significant inverse associations of the three dietary patterns with depressive symptoms (continuous and dichotomous). In cross-sectional analysis, the association of diet with depressive symptoms using a cut-off yielded an adjusted OR of 0.87 (95% confidence interval 0.84–0.91) for MDS, 0.93 (0.88–0.98) for AHEI-2010, and 0.94 (0.87–1.01) for DASH. Similar associations were observed prospectively: 0.88 (0.80–0.96) for MDS; 0.95 (0.84–1.06) for AHEI-2010; 0.90 (0.84–0.97) for DASH.ConclusionPopulation-scale observational evidence indicates that adults following a healthy dietary pattern have fewer depressive symptoms and lower risk of developing depressive symptoms.

scholarly journals Maternal Dietary Patterns during Third Trimester in Association with Birthweight Characteristics and Early Infant Growth

Scientifica ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Anna K. Poon ◽  
Edwina Yeung ◽  
Nansi Boghossian ◽  
Paul S. Albert ◽  
Cuilin Zhang
Keyword(s):  
Relative Risk ◽  
Fetal Growth ◽  
Gestational Age ◽  
Dietary Patterns ◽  
Glycemic Load ◽  
Lifestyle Factors ◽  
Healthy Eating Index ◽  
Infant Growth ◽  
Early Infant ◽  
The Impact

Our analysis examined the impact of maternal dietary patterns and lifestyle factors on markers of fetal growth, specifically birthweight and size for gestational age (small- (SGA) or large-for-gestational age (LGA)). The Infant Feeding Practices Study II, a prospective cohort study, surveyed pregnant women during their 3rd trimester, of which a subgroup (n=893) completed a food frequency questionnaire. Maternal dietary patterns were evaluated by diet scores (Alternative Healthy Eating Index for Pregnancy and alternate Mediterranean diet) and by carbohydrate quality (glycemic index and glycemic load). Poisson regression with robust standard errors was used to examine the relative risk of SGA and separately LGA, with dietary patterns and other lifestyle factors. Linear regression was used to determine the association of birthweight and early infant growth with better dietary patterns. Relative risk of SGA and LGA was not associated with dietary patterns. Birthweight and infant growth were not associated with maternal diet. Smoking, however, increased the risk of delivering an SGA infant (RR = 2.92, 95% CI: 1.58–5.39), while higher prepregnancy BMI increased the risk of delivering an LGA infant (RR = 1.06, 95% CI: 1.03–1.09). Future studies are needed to evaluate whether deficiencies in more specific maternal dietary nutrients play a role in fetal growth.

scholarly journals Predictors of Migration in an HIV Hyper-Endemic Rural South African Community: Evidence From a Population-Based Cohort (2005-2017)

2022 ◽  
Author(s):  
Armstrong Dzomba ◽  
Hae-Young Kim ◽  
Andrew Tomita ◽  
Alain Vandormael ◽  
Kaymarlin Govender ◽  
...  
Keyword(s):  
South Africa ◽  
Cox Regression ◽  
High Mobility ◽  
Educational Status ◽  
Population Based ◽  
Treatment As Prevention ◽  
People Living With Hiv ◽  
Community Art ◽  
Socio Demographic Factors ◽  
Living With Hiv

Abstract Globally, South Africa ranks worst for people living with HIV (PLHIV) and the unique legacy of internal labour migration continues to be a major driver of the regional epidemic, interrupting treatment-as-prevention efforts. The study examined levels, trends, and predictors of migration in rural KwaZulu-Natal Province, South Africa, using population-based surveillance data from 2005 through 2017. We followed 69 604 adult participants aged 15-49 years and recorded their migration events (i.e., out-migration from the surveillance area) in 423 038 person-years over 525 397 observations. Multiple failure Cox-regression models were used to measure the risk of migration by socio-demographic factors: age, sex, educational status, marital status, HIV, and community antiretroviral therapy (ART) coverage. Overall, 69% of the population cohort experienced at least one migration event during the follow-up period. The average incidence rate of migration was 9.96 events and 13.23 events per 100 person-years in women and men, respectively. Migration rates declined from 2005 to 2008 then peaked in 2012 for both women and men. Adjusting for other covariates, the risk of migration was 3.4-times higher among young women aged 20-24 years compared to those aged ≥40 years (adjusted Hazard Ratio [aHR]=3.37, 95% Confidence Interval [CI]: 3:19-3.57), and 2.9-times higher among young men aged 20-24 years compared to those aged ≥40 years (aHR=2.86, 95% CI:2.69-3.04). There was a 9% and 27% decrease in risk of migration among both women (aHR=0.91, 95% CI: 0.83 – 0.99) and men (aHR=0.73, 95% CI 0.66 – 0.82) respectively per every 1% increase in community ART coverage. Young unmarried women including those living with HIV, migrated at a magnitude similar to that of their male counterparts, and lowered as ART coverage increased over time, reflecting the role of improved HIV services across space in reducing out-migration. A deeper understanding of the characteristics of a migrating population provides critical information towards identifying and addressing gaps in the HIV prevention and care continuum in an era of high mobility.

scholarly journals Association of Dietary Patterns and Type-2 Diabetes Mellitus in Metabolically Homogeneous Subgroups in the KORA FF4 Study

Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1684
Author(s):  
Nina Wawro ◽  
Giulia Pestoni ◽  
Anna Riedl ◽  
Taylor A. Breuninger ◽  
Annette Peters ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diet Quality ◽  
Dietary Patterns ◽  
Population Based ◽  
Healthy Eating Index ◽  
Clinical Markers ◽  
Dietary Recommendations

There is evidence that a change in lifestyle, especially physical activity and diet, can reduce the risk of developing type-2 diabetes mellitus (T2DM). However, the response to dietary changes varies among individuals due to differences in metabolic characteristics. Therefore, we investigated the association between dietary patterns and T2DM while taking into account these differences. For 1287 participants of the population-based KORA FF4 study (Cooperative Health Research in the Region of Augsburg), we identified three metabolically-homogenous subgroups (metabotypes) using 16 clinical markers. Based on usual dietary intake data, two diet quality scores, the Mediterranean Diet Score (MDS) and the Alternate Healthy Eating Index (AHEI), were calculated. We explored the associations between T2DM and diet quality scores. Multi-variable adjusted models, including metabotype subgroup, were fitted. In addition, analyses stratified by metabotype were carried out. We found significant interaction effects between metabotype and both diet quality scores (p < 0.05). In the analysis stratified by metabotype, significant negative associations between T2DM and both diet quality scores were detected only in the metabolically-unfavorable homogenous subgroup (Odds Ratio (OR) = 0.62, 95% confidence interval (CI) = 0.39–0.90 for AHEI and OR = 0.60, 95% CI = 0.40–0.96 for MDS). Prospective studies taking metabotype into account are needed to confirm our results, which allow for the tailoring of dietary recommendations in the prevention of T2DM.

scholarly journals Socio-demographic and lifestyle factors associated with multimorbidity in New Zealand

2019 ◽  
Vol 42 ◽  
pp. e2020001 ◽  
Author(s):  
Nayyereh Aminisani ◽  
Christine Stephens ◽  
Joanne Allen ◽  
Fiona Alpass ◽  
Seyed Morteza Shamshirgaran
Keyword(s):  
Physical Activity ◽  
Chronic Condition ◽  
Population Based ◽  
Lifestyle Factors ◽  
Targeted Prevention ◽  
Factors Associated ◽  
Obesity Hypertension ◽  
Socio Demographic Factors ◽  
Adjusted Model

OBJECTIVES: The incidence of multimorbidity (MM) and its correlates among older adults remain poorly understood. This study aimed to examine the socio-demographic and lifestyle factors associated with MM in New Zealand.METHODS: People aged 55-70 years were invited to participate in a population-based cohort study, the Health Work and Retirement Study, in 2006. Those who accepted the invitation and completed the baseline questionnaire were followed up on a biennial basis. Data on socio-demographic factors, health and lifestyle behaviours, and diagnoses of chronic diseases were obtained from baseline and 6 waves of follow-up. Generalised estimating equations (GEE) adjusted for both time-constant and time-varying factors were used to model factors associated with the onset of MM.RESULTS: A total of 1,673 participants (with 0 or 1 chronic condition) contributed to an overall 8,616 person-years of observation. There were 590 new cases of MM over 10 years of follow-up, corresponding to an overall incidence of 68.5 per 1,000 person-years. The results of the age- and sex-adjusted GEE analysis showed that age, ethnicity, living alone, obesity, hypertension, and having 1 chronic condition at baseline were significant predictors of MM onset. Higher education, income, physical activity, and regular alcohol consumption were protective factors. In a fully adjusted model, marital status (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.01 to 1.37; p=0.039), hypertension (OR, 1.23; 95% CI, 1.02 to 1.48; p=0.032) and having 1 chronic condition at baseline (OR, 2.92; 95% CI, 2.33 to 3.67; p<0.001) remained significant.CONCLUSIONS: The higher incidence of MM among Māori people, socioeconomically disadvantaged groups, those with low physical activity, and obese individuals highlights the importance of targeted prevention strategies.

scholarly journals Associations of Dietary Patterns with Incident Depression: The Maastricht Study

Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 1034
Author(s):  
Vincenza Gianfredi ◽  
Annemarie Koster ◽  
Anna Odone ◽  
Andrea Amerio ◽  
Carlo Signorelli ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Dietary Patterns ◽  
Proportional Hazards ◽  
A Priori ◽  
Preventive Measure ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Healthy Diet ◽  
Patient Health

Our aim was to assess the association between a priori defined dietary patterns and incident depressive symptoms. We used data from The Maastricht Study, a population-based cohort study (n = 2646, mean (SD) age 59.9 (8.0) years, 49.5% women; 15,188 person-years of follow-up). Level of adherence to the Dutch Healthy Diet (DHD), Mediterranean Diet, and Dietary Approaches To Stop Hypertension (DASH) were derived from a validated Food Frequency Questionnaire. Depressive symptoms were assessed at baseline and annually over seven-year-follow-up (using the 9-item Patient Health Questionnaire). We used Cox proportional hazards regression analyses to assess the association between dietary patterns and depressive symptoms. One standard deviation (SD) higher adherence in the DHD and DASH was associated with a lower hazard ratio (HR) of depressive symptoms with HRs (95%CI) of 0.78 (0.69–0.89) and 0.87 (0.77–0.98), respectively, after adjustment for sociodemographic and cardiovascular risk factors. After further adjustment for lifestyle factors, the HR per one SD higher DHD was 0.83 (0.73–0.96), whereas adherence to Mediterranean and DASH diets was not associated with incident depressive symptoms. Higher adherence to the DHD lowered risk of incident depressive symptoms. Adherence to healthy diet could be an effective non-pharmacological preventive measure to reduce the incidence of depression.

scholarly journals Mediterranean Diet and Healthy Eating in Subjects with Prediabetes from the Mollerussa Prospective Observational Cohort Study

Nutrients ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 252
Author(s):  
Mireia Falguera ◽  
Esmeralda Castelblanco ◽  
Marina Idalia Rojo-López ◽  
Maria Belén Vilanova ◽  
Jordi Real ◽  
...  
Keyword(s):  
Glucose Tolerance ◽  
Mediterranean Diet ◽  
Healthy Eating ◽  
Dietary Patterns ◽  
Normal Glucose Tolerance ◽  
Healthy Eating Index ◽  
Study Cohort ◽  
Cross Sectional ◽  
Normal Glucose ◽  
Multivariable Analyses

We aimed to assess differences in dietary patterns (i.e., Mediterranean diet and healthy eating indexes) between participants with prediabetes and those with normal glucose tolerance. Secondarily, we analyzed factors related to prediabetes and dietary patterns. This was a cross-sectional study design. From a sample of 594 participants recruited in the Mollerussa study cohort, a total of 535 participants (216 with prediabetes and 319 with normal glucose tolerance) were included. The alternate Mediterranean Diet score (aMED) and the alternate Healthy Eating Index (aHEI) were calculated. Bivariable and multivariable analyses were performed. There was no difference in the mean aMED and aHEI scores between groups (3.2 (1.8) in the normoglycemic group and 3.4 (1.8) in the prediabetes group, p = 0.164 for the aMED and 38.6 (7.3) in the normoglycemic group and 38.7 (6.7) in the prediabetes group, p = 0.877 for the aHEI, respectively). Nevertheless, women had a higher mean of aMED and aHEI scores in the prediabetes group (3.7 (1.9), p = 0.001 and 40.5 (6.9), p < 0.001, respectively); moreover, they had a higher mean of aHEI in the group with normoglycemia (39.8 (6.6); p = 0.001). No differences were observed in daily food intake between both study groups; consistent with this finding, we did not find major differences in nutrient intake between groups. In the multivariable analyses, the aMED and aHEI were not associated with prediabetes (odds ratio (OR): 1.19, 95% confidence interval (CI): 0.75–1.87; p = 0.460 and OR: 1.32, 95% CI: 0.83–2.10; p = 0.246, respectively); however, age (OR: 1.04, 95% CI: 1.02–1.05; p < 0.001), dyslipidemia (OR: 2.02, 95% CI: 1.27–3.22; p = 0.003) and body mass index (BMI) (OR: 1.09, 95% CI: 1.05–1.14; p < 0.001) were positively associated with prediabetes. Physical activity was associated with a lower frequency of prediabetes (OR: 0.48, 95% CI: 0.31–0.72; p = 0.001). In conclusion, subjects with prediabetes did not show a different dietary pattern compared with a normal glucose tolerance group. However, further research is needed on this issue.

scholarly journals Changes in Six-Month Prevalence of Circulatory System Diseases among People Aged 20 Years and Older between 2013 and 2018 in Hunan, China

2021 ◽  
Vol 18 (5) ◽  
pp. 2599
Author(s):  
Zhenzhen Rao ◽  
Junjie Hua ◽  
Ruotong Li ◽  
Yanhong Fu ◽  
Jie Li ◽  
...  
Keyword(s):  
Age Groups ◽  
Circulatory System ◽  
Population Based ◽  
Hunan Province ◽  
Rural Residents ◽  
Chi Square ◽  
Circulatory System Diseases ◽  
Chi Square Test ◽  
Urban Rural ◽  
Socio Demographic Factors

Recent changes in population-based prevalence for circulatory system diseases (CSDs) remain unreported either nationally or locally for China. Data were from the two-round health service household interview survey of Hunan Province, China, in 2013 and 2018. A Rao–Scott chi-square test was performed to examine prevalence differences across socio-demographic variables. The overall age-standardized prevalence of CSDs increased substantially between 2013 and 2018 for inhabitants aged 20 years and older (14.25% vs. 21.25%; adjusted odds ratio (OR) = 1.59, 95% CI: 1.24–2.04). Hypertensive disease was the most prevalent type of CSD, accounting for 87.24% and 83.83% of all CSDs in 2013 and in 2018, respectively. After controlling for other socio-demographic factors, the prevalence of CSDs was significantly higher in 2018 (adjusted OR = 1.40), urban residents (adjusted OR = 1.43), females (adjusted OR = 1.12) and older age groups (adjusted OR = 5.36 for 50–59 years, 9.51 for 60–69 years, 15.19 for 70–79 years, and 12.90 for 80 years and older) than in 2013, rural residents, males and the youngest age group (20–49 years). The recent increase in the overall age-standardized CSD prevalence and the large prevalence disparities across urban/rural residents, sex and age groups merit the attention of policymakers and researchers. Further prevention efforts are needed to curb the increasing tendency and to reduce the prevalence of disparities across socio-demographic groups.

scholarly journals Association between socioeconomic status and self-reported, tested and diagnosed COVID-19 status during the first wave in the Northern Netherlands: a general population-based cohort from 49 474 adults

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e048020
Author(s):  
Yinjie Zhu ◽  
Ming-Jie Duan ◽  
Hermien H. Dijk ◽  
Roel D. Freriks ◽  
Louise H. Dekker ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
General Population ◽  
Low Income ◽  
Smoking Status ◽  
Sleep Time ◽  
Population Based ◽  
Lifestyle Factors ◽  
Self Report ◽  
Low Education ◽  
Tv Watching

ObjectivesStudies in clinical settings showed a potential relationship between socioeconomic status (SES) and lifestyle factors with COVID-19, but it is still unknown whether this holds in the general population. In this study, we investigated the associations of SES with self-reported, tested and diagnosed COVID-19 status in the general population.Design, setting, participants and outcome measuresParticipants were 49 474 men and women (46±12 years) residing in the Northern Netherlands from the Lifelines cohort study. SES indicators and lifestyle factors (i.e., smoking status, physical activity, alcohol intake, diet quality, sleep time and TV watching time) were assessed by questionnaire from the Lifelines Biobank. Self-reported, tested and diagnosed COVID-19 status was obtained from the Lifelines COVID-19 questionnaire.ResultsThere were 4711 participants who self-reported having had a COVID-19 infection, 2883 participants tested for COVID-19, and 123 positive cases were diagnosed in this study population. After adjustment for age, sex, lifestyle factors, body mass index and ethnicity, we found that participants with low education or low income were less likely to self-report a COVID-19 infection (OR [95% CI]: low education 0.78 [0.71 to 0.86]; low income 0.86 [0.79 to 0.93]) and be tested for COVID-19 (OR [95% CI]: low education 0.58 [0.52 to 0.66]; low income 0.86 [0.78 to 0.95]) compared with high education or high income groups, respectively.ConclusionOur findings suggest that the low SES group was the most vulnerable population to self-reported and tested COVID-19 status in the general population.

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