
==== Front
BMC Geriatr
BMC Geriatr
BMC Geriatrics
1471-2318
BioMed Central London

5327
10.1186/s12877-024-05327-0
Research
The mediating effect of sleep quality on solid cooking fuel use and psychological distress among rural older adults: evidence from Shandong, China
Luo Jingjing 12
Zhao Dan 12
Gao Tingting 12
Wang Xuehong 12
Wang Xueqing 12
Chai Shujun 12
Li Jiayan 12
Zhou Chengchao zhouchengchao@sdu.edu.cn

1234
1 https://ror.org/0207yh398 grid.27255.37 0000 0004 1761 1174 Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012 China
2 https://ror.org/0207yh398 grid.27255.37 0000 0004 1761 1174 Institute of Health and Elderly Care, Shandong University, Jinan, 250012 China
3 https://ror.org/0207yh398 grid.27255.37 0000 0004 1761 1174 NHC Key Lab of Health Economics and Policy Research, Shandong University), Jinan, 250012 China
4 https://ror.org/0207yh398 grid.27255.37 0000 0004 1761 1174 Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, NHC Key Lab of Health Economics and Policy Research, Shandong University, 44 Wen-hua-xi Road, Jinan, 250012 Shandong China
10 9 2024
10 9 2024
2024
24 75019 11 2023
23 8 2024
© The Author(s) 2024
2024
https://creativecommons.org/licenses/by-nc-nd/4.0/ Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
Background

Exposure to indoor air pollution from solid cooking fuel use may increase mental disorders risk through pathways such as oroxidative stress, neuroinflammation, or cerebrovascular damage. However, few studies have explored the underlying mechanism between solid cooking fuel use and psychological distress. The present study aims to investigate the mediating role of sleep quality on the relationship between solid cooking fuel use and psychological distress among older adults in rural Shandong, China.

Methods

This study used the cross-sectional data from the second follow-up survey of the Shandong Rural Elderly Health Cohort (SREHC). A total of 3,240 rural older adults were included in the analysis. Logistic regression and the Karlson, Holm, and Breen (KHB) mediation analyses were performed to investigate the relationship between solid cooking fuel use and psychological distress, as well as the mediating role of sleep quality in this association.

Results

This study found that solid cooking fuel use was significantly and positively associated with psychological distress among older adults in rural Shandong, China (OR = 1.38, 95% CI: 1.12,1.70). Mediation analysis revealed that sleep quality mediated the association between solid cooking fuel use and psychological distress among older adults (β = 0.06, P = 0.011). The mediation effect accounted for 16.18% of the total effect.

Conclusions

Our study showed that solid cooking fuel use was associated with psychological distress among rural older adults, and sleep quality mediated this association. Interventions should focus on addressing cooking fuel types and poor sleep quality to reduce psychological distress. In the future, more aggressive environmental protection policies would be needed to lessen the adverse effects of indoor air pollution on the health of older adults in rural China.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-024-05327-0.

Keywords

Solid fuels
Psychological distress
Sleep quality
Older adults
National Natural Science Foundation of China71974117 issue-copyright-statement© BioMed Central Ltd., part of Springer Nature 2024
==== Body
pmcIntroduction

Globally, psychological distress is a major public health issue. Psychological distress is defined as a state of emotional suffering, characterized by depression and anxiety symptoms [1]. The risk of psychological distress has increased dramatically as people get older. More than one-third of Chinese older adults are at high risk of severe psychological distress symptoms [2]. Previous studies found that older adults with psychological distress have a higher risk of cognitive impairment, functional decline, poor quality of life, and mortality [3, 4]. Furthermore, the prevalence of psychological distress among rural older adults in China is significantly higher than in urban areas [5]. Preventing psychological distress among rural older adults has become a public health priority. Exploring risk factors and interventions for psychological distress is crucial to improving the mental health of rural older adults, preventing adverse health outcomes, and achieving healthy aging.

Indoor air pollution from solid cooking fuel use has captured extensive attention due to its serious threat to human health, which is particularly pressing in developing countries [6]. China has been facing significant health threats caused by indoor cooking fuel pollution, especially in rural areas [7]. Solid cooking fuel use emits significant amounts of hazardous pollutants into the environment, increasing the burden of disease and mortality [7]. Emerging literature has provided conclusive evidence for the relationship between solid cooking fuel use and mental health among older adults [8–10]. Solid fuels burning generates substantially higher levels of various gaseous pollutants than clean fuel, including particulate matter (PM), nitric oxide (NO), nitrogen dioxide (NO2), and carbon monoxide (CO) [11, 12]. Exposure to indoor air pollution from solid cooking fuel use may increase mental disorders risk like depression through pathways such as cerebrovascular damage, oxidative stress, neurodegeneration, or neuroinflammation [10, 11, 13, 14]. Moreover, several toxicological studies are confirming that particulate matter emitted from solid fuels enters the central nervous system through the alveolar epithelium, triggering inflammation and accelerating the progression of depression symptoms [15, 16]. Therefore, it may be hypothesized that there is an association between solid cooking fuel use and psychological distress, and that the underlying mechanism of this relationship remains unclear.

Sleep quality is an essential indicator of health and well-being among older adults [17]. Growing evidence has shown that poor sleep quality is linked to an increased risk of psychological distress among rural older adults in China [18, 19]. Other studies also observed an association between indoor air pollution from solid cooking fuel use and poor sleep quality among older adults [20–22]. Indoor air pollutants from solid cooking fuels may cause systemic inflammation through the respiratory tract or central nervous system. Excessive inflammation may lead to changes in the expression of genes that have protein products involved in the production and regulation of circadian rhythms (e.g., clock genes), resulting in reduced sleep quality [22]. Besides, previous studies have found that sleep quality plays a mediating role in the relationship between physical disorders and psychological distress [2, 19]. A recent research of rural older adults in China showed that the relationship between chronic conditions and psychological distress was mediated by sleep quality [2]. The use of solid cooking fuels increases the risk of various chronic diseases in older people, particularly chronic obstructive pulmonary disease and cardiovascular disease, which may reduce sleep quality [23]. Poor sleep quality impairs carbohydrate metabolism and endocrine function, activating inflammatory processes [24], and directly increases the risk of mental disorders such as psychological distress. Thus, sleep quality may act as a mediator between solid cooking fuel use and psychological distress.

Based on the abovementioned empirical research, this study aims at investigating the relationship between solid cooking fuel use and psychological distress, as well as the mediating role of sleep quality in this association among older adults in rural China. We proposed the following hypotheses: (1) older adults with solid cooking fuel use have a higher risk of psychological distress in rural Shandong, China; and (2) sleep quality is a mediator between solid cooking fuel use and psychological distress among rural older adults. The proposed mediation model in this study is depicted in Fig. 1.

Fig. 1 Framework of mediation analysis

Methods

Data source and participants

This study used the cross-sectional data from the second follow-up survey of the Shandong Rural Elderly Health Cohort (SREHC), which was performed in Shandong Province from July to August 2022, including 3468 respondents aged 60 years and older. SREHC is an ongoing longitudinal study of the behavior and health of older adults in rural Shandong, China [25]. Shandong, located in eastern China, has the largest older population in China, with 20.9% of the population aged 60 and older in 2020 [26]. We used a multi-stage stratified cluster sampling method to select participants. First, the counties in Shandong Province were divided into three groups based on GDP per capita in 2018, and each group randomly selected one county as a sample county [27]. Three counties (Rushan, Qufu, and Laolin) were selected as the study sites, representing high, medium, and low economic levels, respectively. Second, five sample townships were randomly selected from each sampled county. Finally, four sample villages were randomly selected from each sample township. Older adults aged 60 years or older who were randomly selected from each sample village as survey respondents.

To assure quality, all respondents were interviewed face-to-face by trained interviewers using structured questionnaires. Inclusion criteria were (1) permanent residents aged 60 years and older who lived in the village for more than six months in the past year, and (2) clearly informed and voluntary participants who were able to complete the interview tasks independently. Exclusion criteria were (1) participants who were unwilling to cooperate with the interviewer, (2) participants with diagnosed mental or psychiatric illnesses (e.g., dementia, etc.) who were unable to answer independently. Moreover, to obtain complete and accurate data, we excluded missing data for the main variables. Finally, 3,240 older adults were included in this study. Figure S1 shows a flowchart of this study sample.

Measures

Psychological distress

The Chinese version of the Kessler 10 (K10) scale was employed to assess the psychological distress of older adults. The K10 was a commonly used tool for assessing mental health among older adults in China, which has been confirmed to have high reliability and validity [28]. The scale assessed the psychological distress of the respondents over the past 30 days, including depression, anxiety, tension, despair, restlessness, and worthlessness. The K10 scale contained 10 items, each of which was scored from 1 to 5, representing none of the time, occasionally, some of the time, most of the time, and all of the time. The total score ranged from 10 to 50 points, with higher scores indicating higher levels of psychological distress. Based on previous research, a threshold of 21 points was established in this study [29], and individuals who scored above 21 points were classified as groups with psychological distress. In this study, the scale was tested to have good reliability and validity (Cronbach’s α = 0.908, KMO value = 0.921).

Solid cooking fuel use

This study collected information on cooking fuel types by asking: “What kind of fuel does your household use primarily?” Participants’ primary choices for cooking fuels, which included coal, wood or straw, natural gas, liquefied gas, and electricity, were asked. Cooking fuel types were categorized as clean fuel (including electricity, natural gas, and liquefied gas) and solid fuel (including coal, wood/straw, or other) based on the definition of previous studies [7]. When mixed fuels were used for cooking, they were classified according to the primary fuel.

Sleep quality

The Pittsburgh Sleep Quality Index (PSQI), a Chinese version with high reliability and validity, was used to measure the sleep quality of older adults in the past 30 days [30]. This scale was the most widely used self-assessment questionnaire for assessing individuals’ sleep quality [31]. The PSQI scale consisted of 19 items, divided into seven dimensions: subjective sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. Each dimension was scored from 0 to 3. The total PSQI score ranged from 0 to 21, with higher scores indicating poorer sleep quality among study participants [32]. In this study, the scale was tested to have good reliability and validity (Cronbach’s α = 0.756, KMO value = 0.806).

Covariates

Potential confounders for this study included sociodemographic characteristics, health behaviors, and physical health status. (1) Sociodemographic characteristics: self-made demographic questionnaires were used, which included age (years), gender (men, women), marital status [single (unmarried, divorced, widowed), married], highest level of education (illiterate, primary school, and middle school or above), residence status (live alone, non-living alone), and annual household income (four types based on percentiles, with Q1 being the poorest and Q4 being the richest, the mean were 7166.92, 14895.70, 28560.80, and 81132.70 yuan, respectively). (2) Health behaviors: including smoking (yes, no), drinking (yes, no), frequency of drinking tea (rarely or never, occasionally, and almost every day), physical activity (four types based on percentiles, with Q1 being the lowest and Q4 being the highest), and kitchen ventilation (yes, no). Physical activity was measured using the International Physical Activity Questionnaire Short Form (IPAQ-S). The scale included seven questions that synthesized three types of physical activity: walking, moderate-intensity, and high-intensity [33]. Different intensities of physical activity correspond to different Metabolism Equivalent (MET), and the respondents’ physical activity over the past seven days was assessed by combining the corresponding MET values of physical activity × weekly frequency (in days) × daily activity time (in minutes) [33]. The total physical activity level was calculated by summing the three intensities of physical activity. Kitchen ventilation included open windows, a chimney, an exhaust hood, and partial openings. (3) Physical health status: including chronic health conditions and functional limitations. There were three categories of chronic health conditions: no chronic condition, one chronic condition, and multimorbidity. The Activities of Daily Living (ADL) Scale was used to assess the functional limitations of older adults. The scale had 14 items with a score range from 14 to 56 points, with higher scores indicating worse activities of daily living [34]. In this study, the ADL scale was tested to have good reliability and validity (Cronbach’s α = 0.836, KMO value = 0.919).

Statistical analyses

All data were statistically analyzed using Stata 17.0 (Stata Corp, College Station, TX, USA) and SPSS 25.0 (IBM Corp, Armonk, NY, USA). First, all variables were performed with descriptive analyses. To examine the group differences, chi-square tests (for categorical variables) and t-tests (for continuous variables) were used. Second, the Harman one-way test was used to test the data for common method bias. Third, binary logistic regression was employed to investigate the relationship between solid cooking fuel use and psychological distress among older adults. Model 1 was unadjusted; Model 2 was a fully adjusted model controlling for age, gender, education, marriage status, residence status, household income, smoking, drinking, frequency of drinking tea, physical activity, kitchen ventilation, sleep quality, chronic health conditions, and activities of daily living; and Model 3 was performed using the LR stepwise forward method. Finally, the Karlson, Holm, and Breen (KHB) method, which was the most widely used in testing mediation effects in nonlinear probability models, was employed to estimate direct and indirect effects [35]. Given that the dependent variable in this study, psychological distress, was a dichotomous variable, a logit model of the KHB method was employed to evaluate the potential mediation effect of sleep quality on the association between solid cooking fuel use and psychological distress [36]. Furthermore, the mediation pathway model diagram with coefficients was used to visualize the mediating role of sleep quality in the relationship between solid cooking fuel use and psychological distress. The reported confidence intervals (CIs) were calculated to the 95% level. All tests were two-sided, and a P-value < 0.05 was considered statistically significant.

Results

Characteristics of participants

Table 1 presents the characteristics of the participants according to psychological distress. Of the 3,240 respondents, with a mean age of 72.43 years (SD = 5.91), 60.00% were female, 38.49% were illiterate, and 77.10% were married. The prevalence of psychological distress was 17.81%. Compared with participants without psychological distress, those who did were more likely to be female (P < 0.001), married (P < 0.001), had less education (P < 0.001), live alone (P = 0.007), had lower household income (P = 0.006), rarely or never drinking tea (P < 0.001), and had a lower level of physical activity (P < 0.001). Furthermore, there was a significant difference in solid cooking fuel use between respondents with and without psychological distress (t = 7.36, P = 0.007). Regarding sleep quality, those with psychological distress had worse sleep quality (t = -19.04, P < 0.001).

Table 1 Demographic characteristics of older adults by psychological distress status in rural Shandong, China, 2022

Characteristic	N (%)	Psychological distress	x2/t	P-value	
Yes (%)	No (%)	
Observations	3240	577 (17.81)	2663 (82.19)			
Age (years), mean (SD)	72.43 (5.91)	72.85 (6.11)	72.33 (5.87)	-1.90	0.058	
Gender				42.81	< 0.001	
 Male	1296 (40.00)	161 (27.90)	1135 (42.62)			
 Female	1944 (60.00)	416 (72.10)	1528 (57.38)			
Education				62.09	< 0.001	
 Illiterate	1247 (38.49)	292 (50.61)	955 (35.86)			
 Primary school	1293 (39.91)	220 (38.13)	1073 (40.29)			
 Middle school or above	700 (21.60)	65 (11.27)	635 (23.85)			
Marital status				24.03	< 0.001	
 Single a	742 (22.90)	177 (30.68)	565 (21.22)			
 Married	2498 (77.10)	400 (69.32)	2098 (78.78)			
Residence status				7.37	0.007	
 Live alone	539 (16.64)	118 (20.45)	421 (15.81)			
 Non-living alone	2701 (83.36)	459 (79.55)	2242 (84.19)			
Household income b				12.44	0.006	
 Q1	818 (25.25)	159 (27.56)	659 (24.75)			
 Q2	805 (24.85)	166 (28.77)	639 (24.00)			
 Q3	807 (24.91)	134 (23.22)	673 (25.27)			
 Q4	810 (25.00)	118 (20.45)	692 (25.99)			
Smoking				4.64	0.031	
 Yes	680 (20.99)	102 (17.68)	578 (21.70)			
 No	2560 (79.01)	475 (82.32)	2085 (78.30)			
Drinking				30.50	< 0.001	
 Yes	828 (25.56)	95 (16.46)	733 (27.53)			
 No	2412 (74.44)	482 (83.54)	1930 (72.47)			
Frequency of drinking tea				31.08	< 0.001	
 Rarely or never	1766 (54.51)	370 (64.12)	1396 (52.42)			
 Occasionally	267 (8.24)	50 (8.67)	217 (8.15)			
 Almost every day	1207 (37.25)	157 (27.21)	1050 (39.43)			
Physical activity c				74.54	< 0.001	
 Q1	813 (25.09)	225 (38.99)	588 (22.08)			
 Q2	820 (25.31)	130 (22.53)	690 (25.91)			
 Q3	797 (24.60)	117 (20.28)	680 (25.54)			
 Q4	810 (25.00)	105 (18.20)	705 (26.47)			
Kitchen ventilation				7.55	0.006	
 Yes	2319 (71.57)	386 (66.90)	1933 (72.59)			
 No	921 (28.43)	191 (33.10)	730 (27.41)			
Chronic health conditions				58.39	< 0.001	
 No chronic condition	489 (15.09)	44 (7.63)	445 (16.71)			
 One chronic condition	857 (26.45)	117 (20.28)	740 (27.79)			
 Multimorbidity	1894 (58.46)	416 (72.10)	1478 (55.50)			
Activities of daily living, mean (SD)	17.50 (5.11)	20.98 (7.47)	16.75 (4.07)	-18.99	< 0.001	
Cooking fuel use				7.36	0.007	
 Solid fuel	1166 (35.99)	236 (40.90)	930 (34.92)			
 Clean fuel	2074 (64.01)	341 (59.10)	1733 (65.08)			
Sleep quality, mean (SD)	7.91 (3.29)	10.15 (3.55)	7.43 (3.02)	-19.04	< 0.001	
Notes: a Singles include those who are unmarried (28, 0.86%), divorced (3, 0.09%) and widowed (711, 21.95%); b Quartile 1 (Q1) was the poorest and Quartile 4 (Q4) was the richest; c Quartile 1 (Q1) was the lowest and Quartile 4 (Q4) was the highest level; The total percentage may not equal to 100 due to rounding; Abbreviations: SD = Standard deviation. Statistically significant p < 0.05 values are indicated in bold

Common method bias analysis

Common method bias is prevalent in questionnaire studies [37]. In this study, the Harman one-way test was used to determine whether the data were affected by common method bias. The results of the study showed that the explained variance of the unrotated first factor was 17.75% (less than 40%), which indicates that there is no problem of common method bias in this study [37].

Associations between solid cooking fuel use and psychological distress

As shown in Table 2, a positive correlation was observed between solid cooking fuel use and psychological distress in the binary logistic regression models. In the unadjusted model (model 1), participants who primarily used solid fuels for cooking had a higher risk of psychological distress (OR = 1.24, 95% CI: 1.02, 1.51). The results in both the full adjusted (model 2) and adjusted using the LR stepwise forward method (model 3) models were consistent with model 1. Compared with clean cooking fuel users, the higher risk of psychological distress still significantly existed among solid cooking fuel users (Model 2: OR = 1.37, 95% CI: 1.11,1.69; Model 3: OR = 1.38, 95% CI: 1.12,1.70).

Table 2 Association between solid cooking fuel use and psychological distress among older adults (N = 3,240)

Characteristics	Model 1a		Model 2b		Model 3c		
OR (95% CI)	P-value	OR (95% CI)	P-value	OR (95% CI)	P-value	
Main terms							
Cooking fuel use (Clean fuel Ref)							
Solid fuel	1.24 (1.02, 1.51)	0.030	1.37 (1.11, 1.69)	0.004	1.38 (1.12, 1.70)	0.003	
Sleep quality	1.27 (1.24, 1.31)	< 0.001	1.23 (1.19, 1.27)	< 0.001	1.23 (1.19, 1.27)	< 0.001	
Controls							
Age			0.97 (0.95, 0.99)	0.001	0.97 (0.95, 0.99)	0.001	
Gender (Male Ref)							
Female			1.04 (0.79, 1.37)	0.786			
Education (Illiterate Ref)							
Primary school			0.88 (0.70, 1.10)	0.268	1.76 (1.28, 2.42)	0.001	
Middle school or above			0.58 (0.42, 0.82)	0.002	1.53 (1.11, 2.11)	0.010	
Marital status (Single Ref)							
Married d			0.58 (0.40, 0.83)	0.003	0.73 (0.58, 0.93)	0.010	
Residence status (Live alone Ref)							
Non-living alone			1.45 (0.95, 2.21)	0.082			
Household income e (Q1 Ref)							
Q2			1.09 (0.82, 1.45)	0.551			
Q3			0.96 (0.70, 1.31)	0.788			
Q4			0.85 (0.61, 1.17)	0.316			
Smoking (No Ref)							
Yes			1.22 (0.91, 1.63)	0.191			
Drinking (No Ref)							
Yes			0.86 (0.64, 1.16)	0.331			
Frequency of drinking tea

(Rarely or never Ref)

							
Occasionally			1.11 (0.76, 1.61)	0.591	1.31 (1.04, 1.62)	0.021	
Almost every day			0.79 (0.62, 1.00)	0.045	1.41 (0.96, 2.10)	0.080	
Physical activity f (Q1 Ref)							
Q2			0.65 (0.49, 0.86)	0.002	1.29 (0.95, 1.74)	0.102	
Q3			0.73 (0.54, 0.97)	0.032	0.85 (0.62, 1.15)	0.279	
Q4			0.77 (0.57, 1.05)	0.095	0.94 (0.69, 1.28)	0.693	
Kitchen ventilation (No Ref)							
Yes			0.88 (0.70, 1.09)	0.238			
Chronic health conditions

(No chronic condition Ref)

							
One chronic condition			1.21 (0.81, 1.79)	0.349	0.64 (0.45, 0.91)	0.014	
Multimorbidity			1.58 (1.11, 2.27)	0.012	0.76 (0.59, 0.97)	0.027	
Activities of daily living			1.11 (1.09, 1.14)	< 0.001	1.12 (1.10, 1.14)	< 0.001	
Notes: Statistically significant p < 0.05 values are indicated in bold; Abbreviations: CI = Confidence interval; OR = odds ratio

a Model 1: Unadjusted;

b Model 2: Adjusted for age, gender, education, marriage status, residence status, household income, smoking, drinking, frequency of drinking tea, physical activity, kitchen ventilation, sleep quality, chronic health conditions, and activities of daily living;

c Model 3: Using the LR stepwise forward method was adjusted for age, education, marriage status, frequency of drinking tea, physical activity, sleep quality, chronic health conditions, and activities of daily living;

d Singles include those who are unmarried (28, 0.86%), divorced (3, 0.09%) and widowed (711, 21.95%);

e Quartile 1 (Q1) was the poorest and Quartile 4 (Q4) was the richest;

f Quartile 1 (Q1) was the lowest and Quartile 4 (Q4) was the highest level

Mediating effect analyses

Table 3 shows the mediating effect of sleep quality on the relationship between solid cooking fuel use and psychological distress. After controlling for potential covariates using the LR stepwise forward method, KHB mediation analysis revealed that solid cooking fuel use was significantly associated with an elevated risk of psychological distress among older adults, mediated by sleep quality. The total effect (β = 0.38, P < 0.001), direct effect (β = 0.33, P = 0.002), and indirect effect (β = 0.06, P = 0.011) of solid cooking fuel use on psychological distress mediated by sleep quality were statistically significant. Sleep quality accounted for 16.18% of the total effect of solid cooking fuel use on psychological distress. The mediation pathway model with coefficients for solid cooking fuel use, sleep quality, and psychological distress is illustrated in Fig. 2.

Table 3 The mediating effect of sleep quality on the association between solid cooking fuel use and psychological distress (the Karlson, Holm, and Breen Method)

Model pathways	β	Standardized effect
(SE)	Z	95% CI	P-value	Mediated (%)	
Solid cooking fuel → sleep quality → psychological distress							
Total effect	0.38	0.11	3.63	(0.18, 0.60)	< 0.001	16.18	
Direct effect	0.33	0.11	3.04	(0.12, 0.53)	0.002		
Indirect effect	0.06	0.02	2.55	(0.01, 0.11)	0.011		
Notes: Adjusted for age, education, marriage status, frequency of drinking tea, physical activity chronic health conditions, and activities of daily living based on Model 3 using the LR stepwise forward method; Abbreviations: CI = Confidence interval; SE = Standard error. Statistically significant p < 0.05 values are indicated in bold

Fig. 2 Path diagram of the association between solid cooking fuel use and psychological distress with sleep quality as a mediator. Notes: ** p < 0.05, *** p < 0.001. 95% CIs in the parentheses are shown. Models control for age, gender, education, marriage status and household income, smoking, drinking, kitchen ventilation, chronic health conditions, and activities of daily living

Discussion

To our knowledge, this is the first study to investigate the mediating role of sleep quality in the relationship between solid cooking fuel use and psychological distress among older adults in rural Shandong, China. Our findings revealed that older people who use solid cooking fuels have a higher risk of psychological distress, and the mediating effect of sleep quality on this specific association. This study provides scientific guidance for the prevention of psychological distress among older adults, as well as an important theoretical basis for environmental health policy.

The present study indicated that solid cooking fuel use was significantly and positively associated with psychological distress among older adults in rural Shandong, China. Consistent with previous studies, we observed that exposure to air pollution from solid cooking fuels was associated with a higher risk of psychological distress among older adults [8, 9, 13]. One possible explanation is that using solid cooking fuels generates substantial health-harming pollutants, such as PM and CO [38]. These chemical pollutants emitted by solid cooking fuel use may increase levels of oxidative stress (OS) and neuroinflammatory cytokines in the human body, which have a close relationship with the pathogenesis of psychological distress [16, 39]. Another explanation for this finding is that household air pollution from solid cooking fuel use can cause or aggravate chronic diseases such as cardiovascular damage and cancer [7, 38], increasing disease burden, which affects psychological health potentially among older adults [40]. Besides, metabolic alterations caused by various gaseous pollutants from solid cooking fuels can cause psychological distress. Older adults chronically exposed to air pollutants have impaired metabolic function and elevated levels of triglycerides, free fatty acids, and glucose concentrations [41, 42]. Studies have shown that elevated levels of these indicators are associated with an increased risk of psychological disorders such as depression [43, 44].

Few studies have focused on the mechanisms underlying the relationship between solid cooking fuel use and psychological distress. Our mediation model revealed that sleep quality mediated the association between solid cooking fuel use and psychological distress among older adults. This finding suggested that rural older adults with solid cooking fuel use are more likely to suffer from psychological distress through poor sleep quality. Several possible explanations for this finding are as follows. First, using solid cooking fuels has a deleterious impact on the physiology of the respiratory system [15, 20]. Exposure to air pollutants from solid cooking fuel use can cause mucosal inflammation or edema, leading to sleep disorders through decreased pulmonary function and increased respiratory symptoms [20, 22]. Previous studies have pointed out that poor sleep quality can lead to a decline in physical status and various cognitive functions, including illnesses, pain, attention, and memory [7, 45]. Older adults with poor sleep quality have weakened planning and problem-solving abilities, which may make it difficult for them to cope with the challenges of daily life and ultimately cause psychological distress [46]. Second, long-term exposure to air pollutants in solid cooking fuel smoke is associated with a low level of serotonin [8]. Serotonin is a neurotransmitter that helps regulate wakefulness and circadian rhythms. Low serotonin levels may cause daytime sleepiness and normal nighttime sleep disturbance [47]. According to the cognitive model of insomnia [48], older adults with poor sleep quality exhibit more paranoid and worried attitudes towards sleep, such as overthinking about getting adequate sleep, which may further exacerbate emotional issues like anxiety [49]. Third, chemical pollutants from solid cooking fuel combustion can cause brain damage such as alterations of the blood-brain barrier and degenerating cortical neurons, which may have an impact on sleep quality [50]. Studies have shown that sleep disorders like short sleep duration and insomnia may lead to dysregulation of stress systems (e.g., hyperactivation of the hypothalamic-pituitary-adrenal (HPA) axis) [51], sensitizing older adults to stress-related disorders, including mood disorders, thereby contributing to the development of psychological distress [51, 52].

These findings have significant public health implications for improving the prevention strategies of psychological distress among older adults. First, primary care should pay more attention to and monitor the level of psychological distress characterized by depression and anxiety among rural older adults, especially solid cooking fuel users. Second, policymakers should increase financial investment to promote infrastructure for clean energy supply, especially in rural areas. Improving the accessibility of clean cooking fuels and advocating the preferential use of clean cooking fuels can help reduce the risk of psychological distress among older adults using solid cooking fuels. Finally, grassroots communities should conduct appropriate health education and healthy sleep promotion activities. Actively educate rural older adults about the hazards of solid fuels and remind them of kitchen ventilation, while strengthening the monitoring and assessment of sleep quality among rural older adults using solid cooking fuels.

There were several limitations of this study. First, this was a population-based cross-sectional study, and determining the causal relationship and the association direction between variables was difficult. More longitudinal design and experimental research are needed to confirm causality in the future. Second, the primary variable in this study was based on self-reported data, which may lead to recall bias, particularly in older adults. In the future, indoor air pollution levels from cooking fuels could be directly measured. Third, while we collected data on cooking fuel types, we ignored other indoor pollution information such as individual cooking duration of older adults, specific types and amounts of solid fuels used, seasonal variability, smoking, and heating, which may lead to under- or over-estimate the results. Fourth, this study excluded a subset of participants to obtain complete and accurate data, which could lead to potential bias with implications for the predictability and external validity of the results. Finally, this study validated only one mediating variable, and more potential mechanisms associated with solid cooking fuel use and psychological distress among older adults should be explored in the future.

Conclusions

The current study found that solid cooking fuel use was associated with an increased risk of psychological distress among older adults, with a mediating effect on sleep quality in this association. These findings suggested that substituting solid fuels for cooking with clean fuel may play an important role in reducing psychological distress among older solid cooking fuel users. In addition, there is an urgent need to prevent and improve sleep quality to reduce the potential risk of psychological distress among older adults who use solid cooking fuels.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Acknowledgements

We thank the officials of health agencies, all participants and staffs at the study sites for their cooperation.

Author contributions

CCZ designed the study; JJL and DZ conducted the data acquisition; JJL and TTG performed the statistical analyses and interpreted the data; JJL drafted the manuscript; XHW and XQW engaged in the development of the study framework, interpretation of the results; SJC and JYL contributed to the revisions of successive drafts of the manuscript; CCZ, TTG and DZ critically reviewed and revised the manuscript; All authors read and approved the final manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (grant numbers 72274109, 71974117, 71774104). The funders had no role in study design, data collection, analysis, decision to publish, or manuscript preparation.

Data availability

No datasets were generated or analysed during the current study.

Declarations

Ethics approval and consent to participate

This study was reviewed and approved by the Ethics Committee of Shandong University. Before the survey, written informed consent was obtained from each participant, clarifying the purposes, significance, methods, and potential risks of the study.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Abbreviations

PM Particulate matter

NO Nitric oxide

NO2 Nitrogen dioxide

CO Carbon monoxide

SREHC Shandong Rural Elderly Health Cohort

K10 Kessler 10

PSQI Pittsburgh Sleep Quality Index

ADL Activities of daily living

KHB Karlson, Holm, and Breen

OS Oxidative stress

HPA Hypothalamic-pituitary-adrenal

IPAQ-S International Physical Activity Questionnaire Short Form

MET Metabolism Equivalent

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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