Longitudinal patterns of mental well-being over four years in a german general population sample: a growth mixture modeling approach.

IF 3.6 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Johanna Fischer, Ulrich John, Hans-Jürgen Rumpf, Andreas Staudt, Sophie Baumann
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引用次数: 0

Abstract

Background: Although mental well-being is facing growing challenges against the background of global crises such as climate change, pandemics, and social inequality, little is known about longitudinal patterns of mental well-being in the general population.

Methods: The study is based on self-report data from 1,605 adults aged 18 to 64 years who were proactively recruited at a municipal registration office (M = 31.0 years, SD = 10.8 years). Mental well-being was assessed at baseline, and 3, 6, 12, 36 and 48 months later using the five-item Mental Health Inventory (MHI-5). Covariates were smoking, alcohol consumption, fruit and vegetable intake, moderate-to-vigorous physical activity, age, sex, school education and relationship status. Growth Mixture Modeling was used to identify latent trajectory classes of mental well-being. Multinomial logistic regression was used to test whether class membership is predicted by health behaviors and sociodemographic variables.

Results: Three latent trajectory classes were found. The first class ("stable high", n = 1,251, 78%) showed the highest mental well-being throughout the study with only minor fluctuations over time. The second class (n = 192, 12%) showed a "steadily increasing" trajectory starting with the lowest MHI-5 sum score of the three classes at baseline that increased over time. The third class ("fluctuating", n = 162, 10%) reported a slight increase in mental well-being during the first six months, followed by a steep decline to 36 months, which then increased to almost baseline-level at 48 months. The odds of being classified into the "steadily increasing" or "fluctuating" compared to the "stable high" class were higher for men and younger participants. The odds of belonging to the "steadily increasing" compared to the "stable high" class were higher for participants with more than 12 years of school education and those being in a relationship. Health behaviors did not predict latent trajectory class membership.

Conclusion: Three different temporal patterns of mental well-being were found in a German general population sample, with the majority showing a stable level of high mental well-being over four years. Further research is needed to understand fluctuating patterns and the causal factors influencing mental well-being.

德国普通人群样本中四年以上心理健康的纵向模式:一种增长混合建模方法。
背景:尽管在气候变化、流行病和社会不平等等全球危机的背景下,心理健康面临着越来越大的挑战,但人们对普通人群心理健康的纵向模式知之甚少。方法:该研究基于1605名18 - 64岁的成年人的自我报告数据,这些成年人在市登记办公室主动招募(M = 31.0岁,SD = 10.8岁)。在基线和3、6、12、36和48个月后使用五项心理健康量表(MHI-5)评估心理健康状况。协变量包括吸烟、饮酒、水果和蔬菜摄入量、中等到剧烈的体育活动、年龄、性别、学校教育和关系状况。使用生长混合模型来确定心理健康的潜在轨迹类别。采用多项逻辑回归检验健康行为和社会人口学变量是否能预测班级成员。结果:发现三种潜在的轨迹类型。第一类(“稳定的高”,n = 1,251, 78%)在整个研究过程中显示出最高的心理幸福感,随着时间的推移只有轻微的波动。第二类(n = 192,12 %)表现出“稳定增长”的轨迹,从基线时三个类别的最低MHI-5总得分开始,随着时间的推移而增加。第三类(“波动”,n = 162,10 %)报告说,前6个月的心理健康水平略有提高,随后急剧下降到36个月,然后在48个月时几乎上升到基线水平。男性和年轻参与者被归类为“稳定增长”或“波动”类别的几率高于“稳定高”类别。与“稳定的高”阶层相比,接受过12年以上学校教育的参与者和处于恋爱关系中的参与者属于“稳定增长”阶层的几率更高。健康行为不能预测潜在轨迹班级成员。结论:在德国普通人群样本中发现了三种不同的心理健康时间模式,大多数人在四年内表现出稳定的高心理健康水平。需要进一步的研究来了解波动模式和影响心理健康的因果因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Public Health
BMC Public Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
6.50
自引率
4.40%
发文量
2108
审稿时长
1 months
期刊介绍: BMC Public Health is an open access, peer-reviewed journal that considers articles on the epidemiology of disease and the understanding of all aspects of public health. The journal has a special focus on the social determinants of health, the environmental, behavioral, and occupational correlates of health and disease, and the impact of health policies, practices and interventions on the community.
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