A Longitudinal Study of Pre-pregnancy and Pregnancy Risk Factors Associated with Antenatal and Postnatal Symptoms of Depression: Evidence from Growing Up in New Zealand

AimsWe set out to identify risk factors for progression in untreated keratoconus patients from 34 centres across Australia, New Zealand, Spain and Italy.MethodsPatients were divided into ‘progressors’ and ‘stable’ patients for each clinical parameter: visual acuity (VA), steepest keratometry (maximum keratometry (Max-K)) and thinnest corneal thickness (TCT). Primary outcomes were the proportion of eyes with sustained progression in VA, Max-K or TCT within 3 years. Secondary outcomes included predictors of progression.ResultsThere were 3994 untreated eyes from 2283 patients. The proportion of eyes with VA, Max-K and TCT progression at 1 year were 3.2%, 6.6% and 3.1% respectively. Factors associated with VA loss were higher baseline VA (HR 1.15 per logMAR line increase in VA; p<0.001) and steeper baseline Max-K (HR 1.07 per 1D increase; p<0.001). Younger baseline age was associated with Max-K steepening (HR 0.96 per year older; p=0.001). Thicker baseline TCT, steeper baseline Max-K and younger baseline age were associated with TCT thinning: (HR 1.08 per 10 µm increase in TCT; p<0.001), (HR 1.03 per 1D increase; p=0.02) and (HR 0.98 per year younger; p=0.01), respectively.ConclusionsSteeper Max-K and younger age were the most clinically useful baseline predictors of progression as they were associated with worsening of two clinical parameters. Every 1D steeper Max-K was associated with a 7% and 3% greater risk of worsening VA and thinning TCT, respectively. Each 1 year younger was associated with a 4% and 2% greater risk of steepening Max-K and thinning TCT, respectively.

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Associations Between Potentially Modifiable and Nonmodifiable Risk Factors and Gait Speed in Middle- and Older-Aged Adults: Results From the Canadian Longitudinal Study on Aging

The Journals of Gerontology Series A ◽

10.1093/gerona/glab008 ◽

2021 ◽

Author(s):

Erica Figgins ◽

Yun-Hee Choi ◽

Mark Speechley ◽

Manuel Montero-Odasso

Keyword(s):

Risk Factors ◽

Longitudinal Study ◽

Gait Speed ◽

Chronic Conditions ◽

Serum Vitamin ◽

Lifestyle Factors ◽

Community Dwelling ◽

Life Course Perspective ◽

Factors Associated ◽

Modifiable Factors

Abstract Background Gait speed is a strong predictor of morbidity and mortality in older adults. Understanding the factors associated with gait speed and the associated adverse outcomes will inform mitigation strategies. We assessed the potentially modifiable and nonmodifiable factors associated with gait speed in a large national cohort of middle and older-aged Canadian adults. Methods We examined cross-sectional baseline data from the Canadian Longitudinal Study on Aging (CLSA) Comprehensive cohort. The study sample included 20 201 community-dwelling adults aged 45–85 years. The associations between sociodemographic and anthropometric factors, chronic conditions, and cognitive, clinical, and lifestyle factors and 4-m usual gait speed (m/s) were estimated using hierarchical multivariable linear regression. Results The coefficient of determination, R 2, of the final regression model was 19.7%, with 12.9% of gait speed variability explained by sociodemographic and anthropometric factors, and nonmodifiable chronic conditions and 6.8% explained by potentially modifiable chronic conditions, cognitive, clinical, and lifestyle factors. Potentially modifiable factors significantly associated with gait speed include cardiovascular conditions (unstandardized regression coefficient, B = −0.018; p < .001), stroke (B = −0.025; p = .003), hypertension (B = −0.007; p = .026), serum Vitamin D (B = 0.004; p < .001), C-reactive protein (B = −0.005; p = .005), depressive symptoms (B = −0.003; p < .001), physical activity (B = 0.0001; p < .001), grip strength (B = 0.003; p < .001), current smoking (B = −0.026; p < .001), severe obesity (B = −0.086; p < .001), and chronic pain (B = −0.008; p = .018). Conclusions The correlates of gait speed in adulthood are multifactorial, with many being potentially modifiable through interventions and education. Our results provide a life-course-perspective framework for future longitudinal assessments risk factors affecting gait speed.

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Risk factors associated with trajectories of mothers’ depressive symptoms across the early parenting period: an Australian population-based longitudinal study

Archives of Women s Mental Health ◽

10.1007/s00737-014-0411-1 ◽

2014 ◽

Vol 17 (2) ◽

pp. 115-125 ◽

Cited By ~ 43

Author(s):

Rebecca Giallo ◽

Amanda Cooklin ◽

Jan M. Nicholson

Keyword(s):

Risk Factors ◽

Depressive Symptoms ◽

Longitudinal Study ◽

Population Based ◽

Australian Population ◽

Factors Associated ◽

Early Parenting

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Risk Factors for Symptoms of Depression and Anxiety One Year Poststroke: A Longitudinal Study

Archives of Physical Medicine and Rehabilitation ◽

10.1016/j.apmr.2016.01.019 ◽

2016 ◽

Vol 97 (6) ◽

pp. 919-928 ◽

Cited By ~ 20

Author(s):

Joyce A. Kootker ◽

Maria L. van Mierlo ◽

Jan C. Hendriks ◽

Judith Sparidans ◽

Sascha M. Rasquin ◽

...

Keyword(s):

Risk Factors ◽

Longitudinal Study ◽

Depression And Anxiety ◽

Symptoms Of Depression ◽

One Year

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Pre-school nutrition-related behaviours at home and early childhood education services: findings from the Growing Up in New Zealand longitudinal study

Public Health Nutrition ◽

10.1017/s1368980017004116 ◽

2018 ◽

Vol 21 (7) ◽

pp. 1222-1231 ◽

Cited By ~ 7

Author(s):

Sarah Gerritsen ◽

Sarah E Anderson ◽

Susan MB Morton ◽

Clare R Wall

Keyword(s):

Health Promotion ◽

Early Childhood ◽

Longitudinal Study ◽

New Zealand ◽

Early Childhood Education ◽

School Nutrition ◽

Growing Up ◽

Childhood Education ◽

High Adherence ◽

At Home

AbstractObjectivePre-school nutrition-related behaviours influence diet and development of lifelong eating habits. We examined the prevalence and congruence of recommended nutrition-related behaviours (RNB) in home and early childhood education (ECE) services, exploring differences by child and ECE characteristics.DesignTelephone interviews with mothers. Online survey of ECE managers/head teachers.SettingNew Zealand.SubjectsChildren (n 1181) aged 45 months in the Growing Up in New Zealand longitudinal study.ResultsA mean 5·3 of 8 RNB were followed at home, with statistical differences by gender and ethnic group, but not socio-economic position. ECE services followed a mean 4·8 of 8 RNB, with differences by type of service and health-promotion programme participation. No congruence between adherence at home and in ECE services was found; half of children with high adherence at home attended a service with low adherence. A greater proportion of children in deprived communities attended a service with high adherence, compared with children living in the least deprived communities (20 and 12 %, respectively).ConclusionsChildren, across all socio-economic positions, may not experience RNB at home. ECE settings provide an opportunity to improve or support behaviours learned at home. Targeting of health-promotion programmes in high-deprivation areas has resulted in higher adherence to RNB at these ECE services. The lack of congruence between home and ECE behaviours suggests health-promotion messages may not be effectively communicated to parents/family. Greater support is required across the ECE sector to adhere to RNB and promote wider change that can reach into homes.

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Factors Associated With Multimorbidity Patterns in Older Adults in England: Findings From the English Longitudinal Study of Aging (ELSA)

Journal of Aging and Health ◽

10.1177/0898264319891026 ◽

2019 ◽

Vol 32 (9) ◽

pp. 1120-1132 ◽

Cited By ~ 1

Author(s):

Hai Nguyen ◽

Kia-Chong Chua ◽

Alexandru Dregan ◽

Silia Vitoratou ◽

Ivet Bayes-Marin ◽

...

Keyword(s):

Risk Factors ◽

Older Adults ◽

Longitudinal Study ◽

Latent Class ◽

Future Research ◽

Factors Associated ◽

Lifestyle Risk Factors ◽

Class B ◽

Lifestyle Risk ◽

English Longitudinal Study

Objective: We aimed to identify the patterns of multimorbidity in older adults and explored their association with sociodemographic and lifestyle risk factors. Method: The sample included 9,171 people aged 50+ from Wave 2 of the English Longitudinal Study of Aging (ELSA). Latent Class Analysis (LCA) was performed on 26 chronic diseases to determine clusters of common diseases within individuals and their association with sociodemographic and lifestyle risk factors. Result: Three latent classes were identified: (a) a cardiorespiratory/arthritis/cataracts class, (b) a metabolic class, and (c) a relatively healthy class. People aged 70 to 79 were 9.91 times (95% Confidence Interval [CI] = [5.13, 19.13]) more likely to be assigned to the cardiorespiratory/arthritis/cataracts class, while regular drinkers and physically inactive people were 0.33 times (95% CI = [0.24, 0.47]) less likely to be assigned to this class. Conclusion: Future research should investigate these patterns further to gain more insights into the needs of people with multimorbidity.

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‘BRCA1’ RESPONSIVENESS TOWARDS BREAST CANCER-A POPULATION-WISE PHARMACOGENOMIC ANALYSIS

International Journal of Pharmacy and Pharmaceutical Sciences ◽

10.22159/ijpps.2016.v8i9.13457 ◽

2016 ◽

Vol 8 (9) ◽

pp. 267 ◽

Cited By ~ 2

Author(s):

Preethi M. Iyer ◽

Sanjay Kumar P. ◽

Karthikeyan S. ◽

P. K Krishnan Namboori

Keyword(s):

Breast Cancer ◽

Risk Factors ◽

New Zealand ◽

Environmental Factors ◽

Chromosome 17 ◽

Base Pairs ◽

Single Nucleotide ◽

Factors Associated ◽

Variation Database ◽

Different Populations

Objective: In the present pharmacogenomic work, the genetic, epigenetic and environmental factors associated with BRCA1 induced breast cancer, cancer proneness and its variants across different populations like Indian, Netherland, Belgium, Denmark, Austrian, New Zealand, Sweden, Malaysian and Norwegian and the ‘mutation and methylation-prone’ region of BRCA1 have been computed.Methods: The global variations associated with the disease have been identified from the ‘Leiden open variation database (LOVD 3.0)’ and ‘Indian genome variation database (IGVDB)’. The variants, ‘single nucleotide polymorphisms (SNPs)’ are then characterized. The epigenetic factors associated with breast cancer have been identified from the clinical reports and further scrutinized using EpiGRAPH tool. The various contributing environmental factors responsible for the variations have been considered.Results: All the variants across different populations such as Indian, Netherland, Belgium, Denmark, Austrian, New Zealand, Sweden, Malaysian and Norwegian are found to be in a specific transcript of BRCA1 that ranges within 41,196,312-41,277,500 (81,189 base pairs) of the chromosome 17. Two ‘single nucleotide variations (SNVs)’ (5266dupC: rs397507246 and 68_69delAG: rs386833395) have been identified as risk factors in hereditary breast and ovarian cancer syndrome in the global population and 39 SNPs have been identified as pathogenic and deleterious. ‘Evolutionary history’ seems to be the most significant attribute in the predictability of methylation of BRCA1. Unhealthy dietary habits, obesity, use of unsafe cosmetics, estrogen exposure, ‘hormone replacement therapy (HRT)’, use of oral contraceptives and smoking are the major environmental risk factors associated with breast cancer incidence.Conclusion: This chromosome location (41,196,312-41,277,500 (81,189 base pairs)) can be considered as the population-specific sensitive region corresponding to BRCA1 mutation. This supports the fact that stabilization within the region can be a promising technique to control the epigenetic variants associated with the global position. The global variation in the proneness of the disease may be due to a cumulative effect of genetic, epigenetic and environmental factors subject to further experimentations with identical variations and populations.

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