Some Models and Their Extensions for Longitudinal Analyses

INTRODUCTIONRelationship quality (RQ) in dyads of persons with dementia and their family carers is important both as a clinical outcome and as a determinant of health and quality of life. In previous work we studied RQ using baseline data of a large-scale European longitudinal study on timely access to and use of community formal services in dementia (EU-JPND Acticare). We concluded that neuropsychiatric symptoms and carer stress contributed to discrepancies in RQ ratings within the dyad, which were less favourable when reported by family carers. This and other associations (e.g. between carer-rated RQ and sense of coherence) were cautiously interpreted, in the context of a cross-sectional analysis.OBJECTIVESTo analyse how carer-reported RQ varies over time and to examine its most important influencing factors.METHODSWe present preliminary longitudinal analyses from the Actifcare cohort study of 451 community-dwelling persons with dementia and their primary carers in eight European countries (12-month follow-up). Comprehensive assessments included the Positive Affect Index (PAI) to assess RQ, persons with dementia’s neuropsychiatric symptoms, persons with dementia and carers’ unmet needs, carers’ anxiety and depression, social support, sense of coherence and stress.RESULTSCarers’ mean PAI scores decreased over the 12 -month period. The person with dementia neuropsychiatric symptoms and unmet needs, and carers’ perceived social support were significant predictors of carers’ RQ change.DISCUSSION AND CONCLUSIONWe analysed carer-reported RQ variation over time and predictors in a large European sample of persons with dementia and their family carers. As expected, RQ decreased over the oneyear follow-up period as the disease progressed. Its main predictors in this sample (neuropsychiatric symptoms and the person’s unmet needs, together with carers’ social support) can all influence the impact that caregiving has on the carer and on how time and energy-consuming caregiving is. The role of increased clinical symptoms (also affecting communication difficulties), together with carers’ exhaustion, must be equated. Overall, these results may help us to tailor interventions addressing RQ and potentially improve dementia outcomes.

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Are neighborhood restaurants related to frequency of restaurant meals and dietary quality?: Prevalence and changes over time in the Multi-Ethnic Study of Atherosclerosis

Public Health Nutrition ◽

10.1017/s1368980021002196 ◽

2021 ◽

pp. 1-29

Author(s):

Amy H. Auchincloss ◽

Jingjing Li ◽

Kari A. B. Moore ◽

Manuel Franco ◽

Mahasin S. Mujahid ◽

...

Keyword(s):

Healthy Eating Index ◽

Dietary Quality ◽

Longitudinal Analyses ◽

Cross Sectional ◽

Cross Sectional Analysis ◽

Eating Out ◽

Restaurant Meals ◽

Sectional Analysis ◽

Over Time

Abstract Objective: To examine whether the density of neighbourhood restaurants affected the frequency of eating restaurant meals and subsequently affected diet quality. Design: Cross-sectional and longitudinal designs. Structural equation models assessed the indirect relationship between restaurant density (≤3 miles (4.8 km) of participant addresses) and dietary quality (Healthy Eating Index 2010 (HEI)) via the frequency of eating restaurant meals, after adjustment for sociodemographics, select health conditions, region, residence duration and area-level income. Setting: Urbanised areas in multiple regions of the USA, years 2000–2002 and 2010–2012. Participants: Participants aged 45–84 years were followed for 10 years (n 3567). Results: Median HEI (out of 100) was 59 at baseline and 62 at follow-up. Cross-sectional analysis found residing in areas with a high density of restaurants (highest ranked quartile) was associated with 52% higher odds of frequently eating restaurant meals (≥3 times/week, odds ratio [OR]:1.52, 95% confidence interval [CI] 1.18-1.98) and 3% higher odds of having lower dietary quality (HEI lowest quartile<54, OR:1.03,CI:1.01-1.06); associations were not sustained in longitudinal analyses. Cross-sectional analysis found 34% higher odds of having lower dietary quality for those who frequently ate at restaurants (OR:1.34,CI:1.12-1.61); and more restaurant meals (over time increase ≥1 times/week) was associated with higher odds of having worse dietary quality at follow-up (OR:1.21,CI:1.00-1.46). Conclusions: Restaurant density was associated with frequently eating out in cross-sectional and longitudinal analyses but was associated with the lower dietary quality only in cross-sectional analyses. Frequent restaurant meals were negatively related to dietary quality. Interventions that encourage less frequent eating out may improve population dietary quality.

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Engineering students’ attitudinal beliefs by gender and student division: a methodological comparison of changes over time

International Journal of STEM Education ◽

10.1186/s40594-020-00269-6 ◽

2021 ◽

Vol 8 (1) ◽

Author(s):

Madison E. Andrews ◽

Anita D. Patrick ◽

Maura Borrego

Keyword(s):

Self Efficacy ◽

Engineering Students ◽

Focal Point ◽

Value Engineering ◽

Longitudinal Analyses ◽

Utility Value ◽

Cross Sectional ◽

Targeted Interventions ◽

Significant Difference ◽

Over Time

Abstract Background Students’ attitudinal beliefs related to how they see themselves in STEM have been a focal point of recent research, given their well-documented links to retention and persistence. These beliefs are most often assessed cross-sectionally, and as such, we lack a thorough understanding of how they may fluctuate over time. Using matched survey responses from undergraduate engineering students (n = 278), we evaluate if, and to what extent, students’ engineering attitudinal beliefs (attainment value, utility value, self-efficacy, interest, and identity) change over a 1-year period. Further, we examine whether there are differences based on gender and student division, and then compare results between cross-sectional and longitudinal analyses to illustrate weaknesses in our current understanding of these constructs. Results Our study revealed inconsistencies between cross-sectional and longitudinal analyses of the same dataset. Cross-sectional analyses indicated a significant difference by student division for engineering utility value and engineering interest, but no significant differences by gender for any variable. However, longitudinal analyses revealed statistically significant decreases in engineering utility value, engineering self-efficacy, and engineering interest for lower division students and significant decreases in engineering attainment value for upper division students over a one-year period. Further, longitudinal analyses revealed a gender gap in engineering self-efficacy for upper division students, where men reported higher means than women. Conclusions Our analyses make several contributions. First, we explore attitudinal differences by student division not previously documented. Second, by comparing across methodologies, we illustrate that different conclusions can be drawn from the same data. Since the literature around these variables is largely cross-sectional, our understanding of students’ engineering attitudes is limited. Our longitudinal analyses show variation in engineering attitudinal beliefs that are obscured when data is only examined cross-sectionally. These analyses revealed an overall downward trend within students for all beliefs that changed significantly—losses which may foreshadow attrition out of engineering. These findings provide an opportunity to introduce targeted interventions to build engineering utility value, engineering self-efficacy, and engineering interest for student groups whose means were lower than average.

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