ArticlePublic health nutrition2017
Employment status and temporal patterns of energy intake: Nutrition and Health Survey in Taiwan, 2005-2008.
Article in Public health nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Identifying temporal eating patterns: a comparison of latent class analysis and dynamic time warping-based cluster analysis.The American journal of clinical nutrition · 2026Article
- Traditional and Non-Traditional Clustering Techniques for Identifying Chrononutrition Patterns in University Students.Nutrients · 2026Article
- Association Between Maternal Egg Consumption During Pregnancy and Breastfeeding Initiation and Duration.Nutrients · 2025Article
- Relative validity of the Chrono-Nutrition Behavior Questionnaire (CNBQ) against 11-day event-based ecological momentary assessment diaries of eating.The international journal of behavioral nutrition and physical activity · 2025Article
- Comparison of data-driven identified hypertension-protective dietary patterns among Chinese adults: based on a nationwide study.European journal of nutrition · 2023Article
- Eating patterns in a nationwide sample of Japanese aged 1-79 years from MINNADE study: eating frequency, clock time for eating, time spent on eating and variability of eating patterns.Public health nutrition · 2022Article
- Working from home and dietary changes during the COVID-19 pandemic: A longitudinal study of health app (CALO mama) users.Appetite · 2021Article
- Meal Pattern Analysis in Nutritional Science: Recent Methods and Findings.Advances in nutrition (Bethesda, Md.) · 2021Review
- Maternal B-vitamin intake and B-vitamin supplementation during pregnancy in relation to neonatal congenital heart defects: a case-control study with propensity score matching.European journal of clinical nutrition · 2021Article
- Sociodemographic and Regional Determinants of Dietary Patterns in Russia.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo (i) identify the major temporal patterns of energy intake among adults; (ii) examine the association between employment status and the patterns; and (iii) examine the association between dietary quality and the patterns.
designSecondary analysis based on the cross-sectional population-based nutrition survey in Taiwan, 2005-2008. Based on energy intake levels at six time intervals of a day derived from 24 h recall data, we applied cluster analysis to identify major temporal patterns of energy intake. Self-reported employment status was categorized into six groups: full-time, part-time, no job, student, homemaker and retired. Multinomial logistic regression models were fitted to test the association between temporal patterns of energy intake and employment groups.
settingNon-institutionalized community dwellers. SUBJECTS: Non-pregnant adults (≥19 years old) with total energy intake between 2092 and 20920 kJ/d (500 and 5000 kcal/d; n 4508).
resultsFive major patterns were identified, which can be seen as the traditional meal pattern and its variants. About 20 % of adults had the traditional pattern. The most prevalent pattern was the delayed morning meal pattern (33 %), which had lower Ca and P intakes than the traditional pattern. About 14 % of adults had the delayed lunchtime pattern, which had lower protein, PUFA, fibre, Ca, P, vitamin D and vitamin E intakes than the traditional. Adjusted prevalence of the delayed lunchtime pattern was highest among full-time students (34 %), followed by part-time workers (24 %), and was lower in retired (8 %), homemakers (11 %) and full-time employed adults (12 %).
conclusionAdults' temporal patterns of energy intake, which varied with their employment status, affected their dietary quality.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.