Publications by authors named "Zhijie Michael Yu"

Objectives: To investigate how psychological and behavioural factors change from the first to the last half of pregnancy.

Methods: In this prospective cohort study, we assessed the changes in psychological and behavioural factors across 10 domains among 445 women (mean age = 30.9 years) in Ontario, Canada.

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Purpose: To determine in people with a history of cancer, whether substituting sitting time with other daily activities (i.e., sleeping, walking, moderate and vigorous physical activity) was associated with changes in waist circumference (WC), an important surrogate marker of cardiometabolic risk.

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We evaluated the relationship between mental health and shift work in the Atlantic Partnership for Tomorrow's Health (PATH) cohort study. In a matched study with 12,413 participants, including 4155 shift workers and 8258 non-shift workers, we utilized general linear models and logistic regression models to assess the differences in depression, anxiety, and self-rated health. Shift workers reported higher levels of each of the mental health-related domains compared to non-shift workers.

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Objective: This study aimed to understand physical, knowledge, psychological, and lifestyle factors associated with planned excess gestational weight gain (GWG), a strong and potentially modifiable predictor of actual excess GWG, which contributes to maternal and child obesity along with other adverse maternal and fetal outcomes.

Methods: This is a secondary analysis of data from a prospective cohort study where women completed a questionnaire in early pregnancy. Women were asked to report their planned GWG, which was then categorized as above, within, or below the Institute of Medicine (IOM) guidelines.

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Background: Previous studies have noted traditional physical, demographic, and obstetrical predictors of inadequate or excess gestational weight gain, but the roles of psychological and behavioral factors are not well established. Few interventions targeting traditional factors of gestational weight gain have been successful, necessitating exploration of new domains. The objective of this study was to identify novel psychological and behavioral factors, along with physical, demographic, and obstetrical factors, associated with gestational weight gain that is discordant with the 2009 Institute of Medicine guidelines (inadequate or excess gain).

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Excess gestational weight gain (GWG) is common and adversely affects both mothers and offspring, including increasing the risk of maternal and childhood obesity. GWG is typically examined categorically, with women grouped into categories of those who gain above, within, and below guideline recommendations. Examining GWG as a continuous variable, rather than categorically, allows for a consideration of GWG at a finer level of detail, increasing precision.

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Objectives: Early excess gestational weight gain (GWG) has been examined as a predictor of total excess GWG in a few international studies; however, Canadian data are lacking. We sought to determine whether early (first- and second-trimester) excess GWG predicted total excess GWG.

Methods: We conducted an a priori planned secondary analysis of a multicentre prospective study of English-speaking Ontario women with a singleton pregnancy between 8 and 20 weeks gestation.

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Objective: To develop and validate a prediction model for excess pregnancy weight gain using early pregnancy factors.

Design: Prospective cohort study.

Setting: We recruited from 12 obstetrical, family medicine, and midwifery centers in Ontario, Canada.

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The population of Atlantic Canada is aging rapidly and has among the highest rates of chronic disease in the country. This cross-sectional study drew data from the Atlantic Partnership for Tomorrow's Health (Atlantic PATH) study to investigate the association between physical activity and self-rated health among adults in this population. The results suggest that physical activity is associated with and may help to improve perceived health status of individuals with one or more chronic conditions.

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Purpose: To evaluate the relationship between anthropometric measures and cardiometabolic health in shift workers compared to non-shift workers.

Methods: A population health study was conducted with 4155 shift workers and 8258 non-shift workers from the Atlantic Partnership for Tomorrow's Health (PATH) cohort. Linear and logistic regression models were used to assess the differences in anthropometric measures (body adiposity) and self-reported cardiometabolic disease outcomes (obesity, diabetes, and cardiovascular disease) between shift workers and non-shift workers.

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Objective: The Global Alliance to Prevent Prematurity and Stillbirth developed a phenotypic classification for preterm birth using clinical presentation (rather than risk factors) to improve surveillance. The objective of this study was to determine distributions of preterm birth phenotypes and associations with Caesarean section, low Apgar score, and neonatal death in multiparous women, stratifying by first versus recurrent preterm births.

Methods: This population-based cohort study used the Better Outcomes Registry and Network (BORN) of multiparous women giving birth in hospital with a singleton after 20 weeks in Ontario from 2012 to 2014 (Canadian Task Force Classification II-2).

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Objective: A classification model based on preterm birth clinical presentations (phenotypes) was proposed at the International Conference on Prematurity and Stillbirth, with calls for validation. This study sought to determine the distribution of clinical phenotypes of preterm birth among nulliparous women, their corresponding associations with maternal characteristics, and the odds ratios (ORs) of preterm Caesarean section and other adverse outcomes.

Methods: A population-based cohort study was performed of all nulliparous women with singleton pregnancies (>20 weeks) who gave birth in a hospital in Ontario between 2012 and 2014.

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Purpose: To describe and compare the sociodemographic and lifestyle characteristics of urban and rural residents in Atlantic Canada.

Methods: Cross-sectional analyses of baseline data from the Atlantic Partnership for Tomorrow's Health cohort were conducted. Specifically, 17,054 adults (35-69 years) who provided sociodemographic characteristics, measures of obesity, and a record of chronic disease and health behaviors were included in the analyses.

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Objectives: The prevalence of obesity among populations in the Atlantic provinces is the highest in Canada. Some studies suggest that adequate fruit and vegetable consumption may help body weight management. We assessed the associations between fruit and vegetable intake with body adiposity among individuals who participated in the baseline survey of the Atlantic Partnership for Tomorrow's Health (Atlantic PATH) cohort study.

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Context: The increasing prevalence of obesity and diabetes greatly influences the risk for cardiovascular (CV) comorbidities and affects the quality of life of many people. However, the relationship among diabetes, obesity, and cardiovascular risk is complex and requires further investigation to understand the biological milieu connecting these conditions.

Objective: The aim of the current study was to explore the relationship between biological markers of adipose tissue function (adiponectin) and CV risk (apolipoprotein B) in body mass index (BMI)-matched participants with and without diabetes.

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The objective of this study was to examine the relationship between adipokines and adiposity in individuals with rheumatoid and osteoarthritis in the Atlantic PATH cohort. Using a nested case-control analysis, participants in the Atlantic PATH cohort with rheumatoid or osteoarthritis were matched for measures of adiposity with participants without a history of arthritis. Both measured and self-reported data were used to examine disease status, adiposity, and lifestyle factors.

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The aim of this study was to examine diet quality among participants in the Atlantic Partnership for Tomorrow's Health (PATH) cohort and to assess the association with adiposity. Data were collected from participants ( = 23,768) aged 35-69 years that were residents of the Atlantic Canadian provinces. Both measured and self-reported data were used to examine adiposity (including body mass index (BMI), abdominal obesity, waist-to-hip ratio and fat mass) and food frequency questionnaires were used to assess diet quality.

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Owing to an aging population and medical advances, the anticipated growth and prevalence of multimorbidity has been recognized as a significant challenge and priority in health care settings. Although physical activity has been shown to play a vital role in the primary and secondary prevention of chronic disease, much less is known about the relationship between physical activity and multimorbidity. The objective of the present study was to examine the relationship between physical activity levels and multimorbidity in male and female adults after adjusting for key demographic, geographical, and lifestyle factors.

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