Eat healthy, feel better: Are differences in employees' longitudinal healthy‐eating trajectories reflected in better psychological well‐being?

Author:

Koch Theresa J. S.1ORCID,Arnold Maike1ORCID,Völker Jette1ORCID,Sonnentag Sabine1ORCID

Affiliation:

1. Department of Psychology University of Mannheim Mannheim Germany

Abstract

AbstractEating healthily in terms of fruit and vegetable consumption has beneficial effects for employees and their organisations. Yet, we know little about how employees' eating behaviour develops over longer periods of time (trajectories) as well as about how subgroups of employees in these trajectories differ (trajectory classes). Gaining such insights is critical to understand how employees address healthy eating recommendations over time as well as to develop individualised interventions that also consider the development of healthy eating (i.e. improvement versus impairment beyond mean levels). We analysed panel data (Longitudinal Internet Studies for the Social Sciences) from 1054 employees by means of growth mixture modelling. Our analyses revealed three relevant classes of healthy‐eating trajectories: a favourable trajectory class, an unfavourable trajectory class and a strongly improving trajectory class. Furthermore, unfavourable healthy‐eating trajectories were especially critical with respect to impaired psychological well‐being. Specifically, we found robust results for impaired positive and negative affects, but not for self‐esteem, in the unfavourable trajectory class. We discuss limitations and implications of these findings, thereby encouraging research and practice to further consider such fine‐grained approaches (i.e. focusing on subgroups within a larger population) when addressing healthy‐eating promotion over time.

Publisher

Wiley

Subject

Applied Psychology

Reference76 articles.

1. Lifestyle behaviors, psychological distress, and well-being: A daily diary study

2. Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary secondary model;Asparouhov T.;Mplus Web Notes,2014

3. Human Sustainability and Work: A Meta-Synthesis and New Theoretical Framework

4. Why Does Affect Matter in Organizations?

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3