The integration model of objective and subjective data of residential indoor environment quality in Northeast China based on structural equation modeling

Chen, Yu; Chen, Bin; Xu, Siwei

doi:10.1007/s12273-021-0835-2

Cited by 12 publications

(4 citation statements)

References 25 publications

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“…The inclusion of latent variables, such as occupants' perceptions or subjective norms, which are challenging to measure directly, is a unique advantage of SEM [223,224]. By encompassing both observed and latent variables, SEM offers a holistic model for evaluating IEQ [225,226]. Its application extends to understanding psychological and physiological responses in various settings, enriching our comprehension of IEQ and guiding targeted improvements in indoor environments [227][228][229].…”

Section: Structural Equation Modelingmentioning

confidence: 99%

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Impact of Indoor Air Quality and Multi‐domain Factors on Human Productivity and Physiological Responses: A Comprehensive Review

Deng,

Dong,

Guo

et al. 2024

Indoor Air

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Indoor environmental quality (IEQ) significantly impacts human health, well-being, and productivity. However, a comprehensive and in-depth review of the combined effects of IAQ and other multi-domain factors on human productivity is lacking. There has not been any prior review that encapsulates the impact of multi-domain factors on productivity and physiological responses of occupants. To address this gap, this review paper investigates and highlights the impact of IAQ and multi-domain factors (thermal, visual, and acoustic) on human productivity and occupant well-being in the built environment. The review explores various research methods, including evaluation of human productivity and creativity, data collection, and physiological signal analysis. We also examined the interactions between IAQ and multi-domain factors, as well as strategies for optimizing productivity through integrated building design and smart systems. The key findings from this review reveal that IAQ significantly impacts human productivity and occupant well-being, with interactions between IAQ and other IEQ factors further impacting these effects. Despite advances in the field, there are several limitations and gaps in the current research methods and study designs, including small sample sizes, limited and insufficient experimental design and control, reliance on laboratory or simulated environments, lack of follow-up and long-term data, and lack of robust performance metrics. The review proposes future research directions, including specific applications, and follow-up work to address these limitations and further advance the understanding of IAQ and multi-domain factors in the built environment. The implications of this review for policy and practice include the need for holistic and integrated approaches to IAQ and IEQ management, with a focus on creating healthy and productive indoor environments. This review emphasizes the importance of considering the complex interplay between IAQ and multi-domain factors, as well as the potentials of adopting smart control systems and sustainable design strategies to optimize productivity and occupant well-being in the built environment. By addressing these critical issues, we can enhance the overall quality of life for building occupants and contribute to a more sustainable future.

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Section: Structural Equation Modelingmentioning

confidence: 99%

“…However, there were several limitations of SEM. The requirement for large sample sizes for robust results [212], the potential bias from subjective measures [219], and challenges in comprehensively integrating objective and subjective data [225] need careful consideration.…”

Section: Structural Equation Modelingmentioning

confidence: 99%

Impact of Indoor Air Quality and Multi‐domain Factors on Human Productivity and Physiological Responses: A Comprehensive Review

Deng,

Dong,

Guo

et al. 2024

Indoor Air

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“…In a recent study investigating the correlations between objectively measured versus subjective ratings of environmental variables in the home across 34 care facilities in China, it was found that the magnitude of correlations varied across examined parameters (e.g., humidity, lighting, acoustic properties, and air quality), but they were all positive and most of them were significant (Mu et al, 2023). Generally, a complementary approach that integrates subjective and objective data might be an optimal solution to explain overall satisfaction with the home environment (Chen et al, 2022), and relatedly mental health outcomes. Perhaps for economic reasons, to our knowledge much of the research on home environment and mental health has relied on (self‐)report data.…”

Section: Introductionmentioning

confidence: 99%

Subjective evaluation of home environment and levels of self‐reported depression in middle to old age: Results from the HCHS study

Ascone,

Mascherek,

Weber

et al. 2024

J Clin Psychol

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ObjectivesThe immediate living environment might, like other lifestyle factors, be significantly related to mental well‐being. The current study addresses the question whether five relevant subjective home environment variables (i.e., protection from disturbing nightlight, daylight entering the home, safety at home, quality of window views, and noise disturbance) are associated with levels of self‐reported depression over and above well‐known sociodemographic and common lifestyle variables.MethodsData from the Hamburg City Health Study (HCHS) were analyzed. In N = 8757 with available PHQ‐9 depression data, multiple linear regression models were computed, with demographic data, lifestyle variables, and variables describing the subjective evaluation of the home environment.ResultsThe model explained 15% of variance in depression levels, with ratings for the subjective evaluation of home environment accounting for 6%. Better protection from disturbing light at night, more daylight entering the home, feeling safer, and perceived quality of the window views, were all significantly associated with lower, while more annoyance by noise was associated with higher levels of self‐reported depression. Results did not differ if examining a sample of the youngest (middle‐aged participants: 46−50 years) versus oldest (70−78 years) participants within HCHS.ConclusionBeyond studying the role of lifestyle factors related to self‐reported depression, people's homes may be important for subclinical levels of depression in middle and older age, albeit the direction of effects or causality cannot be inferred from the present study. The development of a consensus and tools for a standardized home environment assessment is needed.

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“…It has become an important research method in terms of the indoor environment. Studies have been carried out on the relationship between multidimensional sound environmental settings and the degree of pleasure [17,18], the representation model of the indoor environment and associated health effects in residential buildings [19], the causal-ity between perception of health and the indoor environment [20], and the relationship between environmental perception and residents' behavior and satisfaction [21][22][23], etc.…”

Section: Introductionmentioning

confidence: 99%

Model of Demand of Human Settlement Environment for Rural Houses in North China: A Structural Equation Modeling Approach

Chen

et al. 2022

Buildings

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Numerous studies have shown that the technology used to improve the living environment in rural areas often loses its effect in a few years, and farmers return to their familiar and habitual way of life. The failure to consider the basic needs of farmers is an important reason for these problems. Therefore, this study conducted qualitative and quantitative analyses on the factors that influence the demand on the human settlement environment through visits, field measurements, a questionnaire survey (which involved more than 20 households in 14 villages in seven provinces and cities in northern China), and the construction of a structural equation model based on demand. The survey included (amongst other factors) personal attributes, daily living, diet and environmental preferences, living customs and energy consumption, housing construction methods, and the surrounding environment. The results showed that, compared with mental happiness (0.084) and physical health (0.119), socioeconomic status (0.260) had a greater influence on the weight of the overall demand satisfaction among the various demand indicators. Farmers prioritized yard planning (0.135), toilets (0.126), and living rooms (0.095). They also gave importance to the indoor thermal environment (0.088), air quality (0.088), and food problems (0.087). The findings of this study provide a theoretical reference for the inception of technical approaches to improve human settlement environment centered on rural houses in North China, and the realization of sustainable development in the future.

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The integration model of objective and subjective data of residential indoor environment quality in Northeast China based on structural equation modeling

Cited by 12 publications

References 25 publications

Impact of Indoor Air Quality and Multi‐domain Factors on Human Productivity and Physiological Responses: A Comprehensive Review

Impact of Indoor Air Quality and Multi‐domain Factors on Human Productivity and Physiological Responses: A Comprehensive Review

Subjective evaluation of home environment and levels of self‐reported depression in middle to old age: Results from the HCHS study

Model of Demand of Human Settlement Environment for Rural Houses in North China: A Structural Equation Modeling Approach

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