Association between sleep duration and depression in menopausal women: a population-based study

Abstract

Aims

This research investigated menopausal women older than 50 years to find whether there were any independent relationships between the duration of sleep they got and their prevalence of depression.

Methods

National Health and Nutrition Examination Survey (NHANES) datasets from 2011-2020 were utilized in a cross-sectional study. Using multivariate linear regression models, the linear relationship between sleep duration and depression in menopausal women was investigated. Fitted smoothing curves and thresholds impact evaluation were used to investigate the nonlinear relationship. Then, subgroup analyses were performed according to smoking, drinking alcohol, diabetes, hypertension, heart disease, and moderate activities.

Results

This population-based study included a total of 3,897 menopausal women (mean age 65.47 ± 9.06 years) aged≥50 years; 3,159 had a depression score <10, and 738 had a depression score≥10. After controlling for all covariates, the prevalence of depression was 17% higher among participants with short sleep duration [OR=1.17, 95%CI=(0.65, 1.70), P<0.0001] and 86% [OR=1.86, 95%CI=(1.05, 2.66), P<0.0001] compared to participants with normal sleep duration. In subgroup analyses stratified by smoking and diabetes, the sleep duration and depression scores of non-smokers [β=-0.18, 95%CI= (-0.33, -0.02), P=0.0241] and diabetics were independently negatively correlated [β=-0.32, 95%CI= (-0.63, -0.01), P=0.0416]. Using a two-segment linear regression model, we discovered a U-shaped relationship between sleep duration and depression scores with an inflection point of 7.5 hours. Less than 7.5 hours of sleep was associated with an increased risk of developing depression [β=-0.81, 95%CI= (-1.05, -0.57), P<0.001]. However, sleeping more than 7.5 hours per night increased the risk of depression considerably [β=0.80, 95%CI= (0.51, 1.08), P<0.001].

Conclusions

Depression is associated with sleep duration in menopausal women. Insufficient or excessive sleep may increase the risk of depression in menopausal women.

1. Background

Menopause is considered a significant turning point in a woman’s life cycle due to the failure of ovarian function, resulting in a decline in estrogen and progesterone levels, which has a significant impact on a woman’s physical and mental health (1, 2). By 2030, it is predicted that 1,2 billion women worldwide will have reached menopause (3). There is evidence that estrogen deficiency increases the risk of depression during menopause (4). In addition, depression may increase the risk of physical health issues such as cardiovascular disease, diabetes mellitus, metabolic syndrome, osteoporosis, and bone fractures and have a negative impact on the quality of life, social life, and professional life of menopausal women (5). As a consequence, menopausal depression has been documented as a significant global mental health issue for women.

Previous research has demonstrated a significant association between depression and poor sleep quality (6). Good sleep is essential for restoring and maintaining bodily functions (7). Approximately 28%-63% of women report sleep problems during menopause (8). Menopausal symptoms and hormone levels influence poor sleep and are one of the most prevalent health issues reported by menopausal women throughout the reproductive cycle (9). Generally, individuals’ recommended minimum and maximum daily sleep duration are seven and nine hours, respectively (10). Notably, approximately 35 percent of menopausal women sleep less than six hours per night (11). Furthermore, the shorter the nighttime sleep duration of menopausal women, the more severe their symptoms (12). Moreover, unfavorable sleep practices can impact the subjective well-being of menopausal women (7).

Poor sleeping habits are known to have several unhealthy effects. Epidemiological and meta-analytic evidence supports a causal association between short and extended sleep duration and adverse health outcomes (13–15). Many studies to date have investigated the function of sleep duration in the development of depression. A prospective study revealed that both short and long sleep durations are substantially associated with an increased risk of depression in adults (16). Other studies support the idea that not enough or too much sleep increases the risk of developing depression (17, 18). However, the relationship between sleep duration and depression in menopausal women is unclear.

Therefore, in the present study, we utilized a large sample of a population of menopausal women from the National Health and Nutrition Examination Survey (NHANES) to investigate the relationship between sleep duration (both sleep deprivation and excess) and depression in menopausal women.

2. Methods

2.1. Study population

The NHANES is a representative study of the U.S. population that uses a complicated, multistage, and probabilistic sampling process that provides a wealth of data about the general health and nutrition of the U.S. population (19). The U.S. NHANES dataset for cycles 2011-2020 was used for this survey. The following was the inclusion standard: (i) women over 50 who are menopausal. The following were the exclusion standards: (i) participants who were pregnant (20) and (ii) participants whose sleep duration and depression scores were missing. 3,897 subjects in total were included in the study. The flowchart for an example selection is shown in Figure 1 .

Figure 1.

Flowchart for selecting participants. NHANES, National Health and Nutrition Examination Survey.

2.2. Menopausal status definitions

Based on the self-reported reproductive health questionnaire, menopausal status was determined. If a woman replied “no” to the question “Have you had at least one menstrual period in the past 12 months?” and then said “hysterectomy” or “menopause/change of life” in response to the following question, she was considered to be postmenopausal. On the NHANES website, you may get more information about the self-reported reproductive health questionnaire (CDC. questionnaire instruments (2022). Available at: https://wwwn.cdc.gov/nchs/nhanes/ContinuousNhanes/Questionnaires.aspx?BeginYear=2017.).

2.3. Assessment of exposure: sleep duration

Participants self-reported how much sleep they had on their typical workday or weekday. In 2011–2014, the NHANES participants’ daily sleep duration was obtained by asking them the following question: “How many (hours) of sleep did you get?” The definition of sleep duration for the 2015–2020 cycle was based on the inquiry, “How much sleep do you typically get at night on weekdays or workdays?” Recorded times were categorized as short (less than 7 hours per night), normal (7-9 hours per night), and long (more than 9 hours per night) (21).

2.4. Assessment of outcome: depression

The Patient Health Questionnaire (PHQ-9), a nine-item screening tool that inquires about the frequency of depression symptoms in the previous two weeks, was used to assess depressed symptoms (22). The nine answer choices, which range from “not at all,” “several days,” “more than half the days,” and “nearly every day,” are based on the PHQ-9 and correspond to scores of 0 to 3, respectively. The PHQ-9 is a reliable and valid diagnostic tool grounded in the DSM-V criteria, with a maximum possible total score of 27. A cut-off point at or exceeding ten has demonstrated a sensitivity of 88% for detecting major depression and an equivalent specificity of 88% (23). Therefore, we separated the PHQ-9 scores of the subjects into two categories:<10 (no depression) and≥10 (depression) (22).

2.5. Assessment of covariates

The choice of covariates is guided by established research findings in the extant literature and rational arguments. Covariates included age, race, education level, smoking, drinking alcohol, diabetes, hypertension, heart disease (13), moderate activities, family income to poverty ratio, body mass index (BMI) (24), alanine transaminase (ALT), aspartate aminotransferase (AST), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), triglyceride, and total cholesterol (25). Consult the NHANES Survey Methods and Analysis Guide for more details on variable collection approaches (https://wwwn.cdc.gov/nchs/nhanes/AnalyticGuidelines).

2.6. Statistical analysis

We relied on R (http://www.r-project.org) and EmpowerStats (http://www.empowerstats.com) for all statistical analyses. Subgroups with depression scores<10 and depression scores≥10 were used in the baseline tables for the study population, and continuous variables were statistically defined by mean values plus or minus standard deviation (SD) and weighted linear regression models. Multivariate linear regression analysis determined the beta values and 95% confidence intervals between the sleep duration and depression scores. Three models were used to construct the multivariate test: model 1, with no variable adjusted; model 2, with age and race changed; and model 3, with all covariates corrected. Simultaneous smoothed curve fits were performed by adjusting the same variables from model 3. The link between sleep duration and depression scores and their inflection point was investigated using a threshold effects analysis model. P<0.05 was considered to be statistically significant.

3. Results

3.1. Baseline characteristics

The baseline characteristics of the individuals are displayed in Table 1 . A total of 3,897 menopausal women with a mean age of 65.47 ± 9.06 years were included based on the inclusion and exclusion criteria. Higher PHQ-9 score subjects were more likely to be non-Hispanic white, higher education, non-smokers, former alcohol users, non-diabetic, hypertension, non-heart disease, have a lower yearly household income, have a high BMI, high ALT, high AST, low HDL-C, and high triglycerides. Additionally, PHQ-9 scores were more significant in patients with short sleep duration.

Table 1.

Characteristics of the participants.

Characteristics	PHQ < 10 (n = 3159)	PHQ ≥ 10 (n = 738)	P-value
Age (years)	65.88 ± 9.09	63.72 ± 8.81	<0.001
Race/ethnicity, n (%)			<0.001
Mexican American	296 (9.37)	101(13.69)
Non-Hispanic White	1417(44.86)	278(37.67)
Non-Hispanic Black	727(23.01)	168(22.76)
Other races	719(22.76)	191(25.88)
Education level, n (%)			<0.001
< high school	673(21.30)	250(33.88)
High school	796(25.20)	186(25.20)
> high school	1690(53.50)	302(40.92)
Smoking, n (%)			<0.001
No	2750(87.05)	569(77.10)
Yes	409(12.95)	169(22.90)
Drinking alcohol, n (%)			<0.001
Never	1426(45.14)	390(52.85)
Ever	1733(54.86)	348(47.15)
Diabetes, (%)			<0.001
No	2497(79.04)	496(67.21)
Yes	662(20.96)	242(32.79)
Hypertension, n (%)			<0.001
No	1255(39.73)	219(29.67)
Yes	1904(60.27)	519(70.33)
Heart disease, n (%)			<0.001
No	2999(94.94)	666(90.24)
Yes	160(5.06)	72(9.76)
Moderate activities, n (%)			0.214
No	2160(68.38)	522(70.73)
Yes	999(31.62)	216(29.27)
Sleep duration, n (%)			<0.001
<7	907(28.71)	289(39.16)
7-9	1955(61.89)	338(45.80)
>9	297(9.40)	111(15.04)
Income to poverty ratio	2.54 ± 1.59	1.74 ± 1.33	<0.001
BMI (kg/m2)	30.43 ± 7.71	32.65 ± 8.69	<0.001
ALT (IU/L)	20.82 ± 12.61	22.56 ± 15.24	0.002
AST (IU/L)	23.54 ± 10.61	25.23 ± 19.06	0.002
HDL-C (md/dL)	59.59 ± 17.19	56.58 ± 17.45	<0.001
LDL-C (md/dL)	116.41 ± 37.98	118.03 ± 42.70	0.489
Triglyceride (md/dL)	117.89 ± 65.88	135.71 ± 83.10	<0.001
Total cholesterol (md/dL)	200.71 ± 42.18	201.77 ± 45.74	0.560

Mean ± SD for continuous variables: P value was calculated by weighted linear regression model. % for categorical variables: P value was calculated by weighted chi-square test.

BMI, body mass index; ALT, alanine transaminase; AST, aspartate aminotransferase; HDL-C, high-Density Lipoprotein; LDL-C, low-Density Lipoprotein Cholesterol.

3.2. Associations between sleep duration and depression

The analysis results using multiple linear regression are shown in Table 2 . In the unadjusted model [β=-0.18, 95%CI=(-0.28, -0.09), P=0.0002], sleep duration was negatively associated with depression scores. However, after adjusting for age and race variables, this significant negative correlation became nonsignificant in Model 2 [β=-0.15, 95%CI=(-0.24, -0.05), P=0.0026]. After adjusting for all covariates, sleep duration was not significantly correlated with depression scores in Model 3 (P>0.05). After controlling for all covariates, the prevalence of depression was 17% higher among participants with short sleep duration [OR=1.17, 95%CI=(0.65, 1.70), P<0.0001] and 86% higher among participants with long sleep duration [OR=1.86, 95%CI=(1.05, 2.66), P<0.0001], compared to participants with normal sleep duration. Further validating the nonlinear negative association between sleep duration and depression scores were the findings from smooth curve fitting ( Figure 2 ).

Table 2.

Association between sleep duration and depression in menopausal women.

Characteristics	Model 1 [β (95% CI)]	P-value	Model 2 [β (95% CI)]	P-value	Model 3 [β (95% CI)]	P-value
Sleep duration	-0.18 (-0.28, -0.09)	0.0002	-0.15 (-0.24, -0.05)	0.0026	-0.09 (-0.24,0.05)	0.1930
Hours of Sleep
<7	1.56 (1.21, 1.92)	<0.0001	1.45 (1.09, 1.81)	<0.0001	1.17 (0.65, 1.70)	<0.0001
7-9	Reference		Reference		Reference
>9	2.07 (1.54, 2.61)	<0.0001	2.10 (1.57, 2.63)	<0.0001	1.86 (1.05, 2.66)	<0.0001
Stratified by Smoking
No	-0.17 (-0.27, -0.07)	0.0010	-0.15 (-0.25, -0.05)	0.0038	-0.18(-0.33, -0.02)	0.0241
Yes	-0.11 (-0.36, 0.15)	0.4176	-0.08 (-0.33, 0.18)	0.5494	0.17 (-0.22, 0.56)	0.3941
Stratified by Drinking alcohol
Never	-0.21 (-0.35, -0.07)	0.0026	-0.19 (-0.33, -0.05)	0.0077	-0.13 (-0.34, 0.07)	0.1990
Ever	-0.16 (-0.29, -0.03)	0.0166	-0.10 (-0.23, 0.03)	0.1242	-0.02 (-0.21, 0.18)	0.8569
Stratified by Diabetes
No	-0.15 (-0.26, -0.04)	0.0055	-0.10 (-0.21, 0.00)	0.0593	0.01 (-0.15, 0.17)	0.8774
Yes	-0.26 (-0.46, -0.06)	0.0126	-0.25 (-0.45, -0.05)	0.0152	-0.32(-0.63, -0.01)	0.0416
Stratified by Hypertension
No	-0.10 (-0.25, 0.05)	0.1838	-0.07 (-0.22, 0.08)	0.3821	-0.00 (-0.24, 0.24)	0.9978
Yes	-0.23 (-0.35, -0.11)	0.0002	-0.19 (-0.32, -0.07)	0.0017	-0.16 (-0.33, 0.02)	0.0833
Stratified by Heart disease
No	-0.17 (-0.26, -0.07)	0.0007	-0.12 (-0.22, -0.03)	0.0135	-0.10 (-0.25, 0.04)	0.1624
Yes	-0.22 (-0.68, 0.23)	0.3419	-0.21 (-0.67, 0.24)	0.3564	-0.04 (-0.72, 0.65)	0.9114
Stratified by Moderate activities
No	-0.16 (-0.28, -0.05)	0.0051	-0.13 (-0.25, -0.01)	0.0283	-0.03 (-0.21, 0.14)	0.7088
Yes	-0.23 (-0.40, -0.06)	0.0068	-0.20 (-0.37, -0.03)	0.0203	-0.22 (-0.47, 0.04)	0.0971

Model 1: no covariates were adjusted. Model 2: Age and race were adjusted. Model 3: Age, race, educational level, smoking, drinking alcohol, diabetes, hypertension, heart disease, moderate activities, family income-to-poverty ratio, BMI, ALT, AST, HDL-C, LDL-C, triglyceride, and total cholesterol were adjusted.

In the subgroup analysis stratified by smoking, drinking alcohol, diabetes, hypertension, heart disease, moderate activities, the model is not adjusted for smoking, drinking alcohol, diabetes, hypertension, heart disease, moderate activities, respectively.

Figure 2.

The association between sleep duration and depression. The smooth curve fit between variables is shown by the solid red line. The 95% confidence interval from the fit is shown by blue bars. A number of variables were adjusted, including age, race, educational level, smoking, drinking alcohol, diabetes, hypertension, heart disease, moderate activities, family income-to-poverty ratio, BMI, ALT, AST, HDL-C, LDL-C, triglyceride, and total cholesterol.

In subgroup analyses stratified by smoking, our results indicate that the negative association between hours of sleep and scores for depression is independently significantly negative in non-smokers [β=-0.18, 95%CI= (-0.33, -0.02), P=0.0241], but not statistically significant in any model for smokers (P>0.05). In addition, after adjusting for all variables, subgroup analyses stratified by diabetes revealed a negative association between length of sleep and depression scores among those with diabetes [β=-0.32, 95%CI= (-0.63, -0.01), P=0.0416]. However, after controlling for all variables, this negative correlation dissipated among non-diabetics (P>0.05). Adjusting for all variables eliminated the negative association between sleep duration and depression scores in subgroup analyses by drinking alcohol, hypertension, heart disease, and moderate activities (P>0.05).

3.3. Non-linearity and threshold effect analysis between sleep duration and depression

The smoothed curve fit showed the u-shaped relationship between sleep duration and depression scores with an inflection point of 7.5 hours after adjusting for all covariates ( Figure 2 ). Sleeping for less than 7.5 hours was connected adversely with a risk of developing depression [β=-0.81, 95%CI= (-1.05, -0.57), P<0.001]. However, sleeping more than 7.5 hours per night significantly raised the risk of depression [β=0.80, 95%CI= (0.51, 1.08), P<0.001] ( Table 3 ).

Table 3.

Threshold effect analysis of sleep duration on incident depression.

Sleep duration	Adjusted β(95%CI)	P-value
Fitting by the standard linear model	-0.09 (-0.24, 0.05)	0.1933
Fitting by the two-piecewise linear model
Inflection point	7.5
Sleep duration < 7.5 hours	-0.81(-1.05, -0.57)	<0.001
Sleep duration ≥ 7.5 hours	0.80 (0.51, 1.08)	<0.001
Log likelihood ratio		<0.001

Age, race, educational level, smoking, drinking alcohol, diabetes, hypertension, heart disease, moderate activities, family income-to-poverty ratio, BMI, ALT, AST, HDL-C, LDL-C, triglyceride, and total cholesterol were adjusted.

4. Discussion

In our study sample, we discovered a nonlinear connection between the duration of sleep and the risk of depression in menopausal women. The findings demonstrated a U-shaped association between the duration of sleep and the risk of depression (sleep duration inflection point: 7.5 hours). Long duration of sleep would also increase the prevalence of depression in addition to short sleep duration.

Based on our knowledge, this is the first study to investigate the relationship between sleep duration and depression in menopausal women. Previous research indicates that estrogen deficiency during menopause may hurt sleep maintenance (26). In addition, sleep problems such as insufficient or excessive sleep may be a significant risk factor for depressive episodes in middle-aged women during menopause (27). These research findings support our conclusion that a sleep duration that is either too short or too long increases the risk of depression in menopausal women. A longitudinal study conducted in Japan revealed that insufficient sleep increases the risk of developing depression (28). Furthermore, a prospective Australian study revealed that reduced sleep duration was an independent predictor of an increase in depressive symptoms (14). Yet another prospective study (29) found no association between insufficient sleep and depression (14). The sample sizes of these studies are usually limited. In addition, the relationship between excessive sleep and depression is controversial. Most studies on long sleep duration have shown that it is unrelated to the prevalence of depression (30–32). In contrast, a recent meta-analysis suggests that long sleep duration is associated with an increased risk of depression (18). Previous meta-analyses have demonstrated that both short and long sleep durations are associated with an increased risk for depressive symptoms (33). These results broadly support the findings of this study. A recent study also found a U-shaped relationship between sleep duration and depression (34), supporting our findings. Nevertheless, some researchers only discovered a significant association between short sleep duration and depression (34, 35), most likely because they defined long sleep duration as 8 hours, which is unreasonable given that the National Sleep Foundation recommends 7-9 hours of sleep for adults (34).

Although the underlying mechanisms of the association between short sleep duration and depressive symptoms in menopausal women remain unclear, several possible explanations have been proposed. Research indicates that the prevalence of depression is higher among postmenopausal women compared to premenopausal women (4). In these women, hormonal imbalances during menopause lead to a constellation of symptoms, including insomnia, mood swings, depression, and hot flashes. There is evidence suggesting that a deficiency of estrogen during the menopausal transition may contribute to the onset of depression (4). Moreover, body fat distribution changes occur in menopausal women, with an increase in abdominal fat, which might exacerbate inflammation; proinflammatory cytokines (PICs) could potentially influence mood and mental health by disrupting the metabolism of neurotransmitters such as serotonin, dopamine, norepinephrine, and glutamate (36). Concurrently, various psychosocial factors are also implicated in the development of depression during menopause. These include relatively higher unemployment rates, retirement, and feelings of loneliness resulting from social isolation (37). Additionally, 40%-60% of menopausal women suffer from insufficient sleep due to hormonal imbalances (38). This may stem from the fluctuating estrogen levels that disrupt neurotransmitters’ metabolism, leading to sleep disturbances (39). Furthermore, abnormal levels of estrogen resulting from ovarian failure influence the sleep-wake cycle, causing a decrease in both the frequency and duration of rapid eye movement sleep, consequently contributing to reduced total sleep time (40). It has been reported that nocturnal awakenings and difficulty falling asleep are associated with lower estradiol levels (41). Other studies also demonstrate that postmenopausal women with decreased estrogen levels tend to have an increased sleep latency and reduced overall sleep time (39). Moreover, up to 80% of women experience severe hot flashes during menopause, and night sweats can lead to fragmented sleep and sleep interruptions, further curtailing sleep duration (42). These symptoms collectively highlight the intricate interplay between hormonal changes and sleep quality during the menopausal transition. Simultaneously, sleep deprivation, through its alterations to the sleep-wake cycle, can lead to disruptions in circadian rhythms, which have been linked with increased severity of depressive symptoms (43). Strong evidence suggests that short sleep duration significantly elevates levels of PICs (44), and higher PICs levels appear to increase the risk of developing depression (28). Furthermore, it is posited by scholars that sleep restriction activates the hypothalamic-pituitary-adrenal axis, thereby exacerbating depressive symptoms (45). Additionally, inadequate sleep reduces productivity, which in turn increases the likelihood of aggressive behavior and may ultimately contribute to depression and suicidal issues (46). Alternatively, it has been hypothesized that individuals with shorter sleep durations may have more time for reflective thoughts, leading to adverse outcomes associated with depression (47). Menopausal women are particularly susceptible to fatigue due to declining estrogen levels (47), and a shorter sleep period is correlated with increased daytime fatigue, which amplifies negative emotions and subsequently raises the risk of developing depression (37). In essence, the interplay between disrupted sleep patterns and hormonal changes in menopause presents a multifaceted pathway that contributes to the onset and exacerbation of depressive conditions.

At present, the mechanisms underlying the relationship between prolonged sleep duration and depression in menopausal women have not been fully elucidated. Although speculative, several potential mechanisms can be proposed to explain this association. It is well-established that menopause is a period of increased risk for depression (48). Studies show that menopausal symptoms, including hot flashes, sweating, and sleep disturbances, all influence mood changes, with depression being one of the common emotional alterations experienced during this phase (2). Moreover, in Western cultures, menopause is often perceived as a loss of sexual attractiveness, which has been linked to the development of depression (49). Furthermore, the decline in ovarian function and decreased estrogen levels during menopause are associated with a higher risk for depression (37). Moreover, in menopausal women, the decline in estrogen levels can lead to increased sleep duration (50) by activating stress response mechanisms (9). Concurrently, vasomotor symptoms resulting from decreased estrogen levels, such as hot flashes, have consistently been linked with sleep disturbances (26), which may contribute to increased sleep time. In essence, the decrease in estrogen during menopause triggers physiological and symptomatic changes that disrupt sleep patterns and potentially extend the overall sleep duration. Additionally, hormonal fluctuations during menopause can lead to disruptions in circadian rhythms (26), and longer sleep durations may be associated with such circadian rhythm disturbances (15). Research has shown that individuals with disrupted circadian rhythms are more prone to developing depression (51). Furthermore, postmenopausal women exhibit higher levels of inflammatory markers compared to premenopausal women (36), and prolonged sleep times have been correlated with elevated levels of PICs (15), which are linked to the development of depressive symptoms (52). Animal models further substantiate this connection by demonstrating that genetic disruption of circadian rhythms can induce behaviors akin to depression (51). Longer sleep durations are often associated with lower levels of physical activity, and those who sleep longer but engage less in physical activities are at a higher risk for depression (14). Moreover, extended nocturnal sleep duration is significantly related to the increased time spent in bed (33). Patients with depression might tend to spend excessive amounts of time in bed, attempting to recover from feelings of fatigue and exhaustion (33, 53); thus, complaints of oversleeping are common among depressed patients (33). Collectively, these findings provide support for our observation that prolonged sleep duration increases the risk of depression in menopausal women.

In addition, we found a significant negative correlation between sleep duration and depression scores in a population of non-smoking and diabetic menopausal women. This indicates that non-smoking and diabetic menopausal women who sleep less have higher depression scores. A meta-analysis found that smokers are 47% more likely than non-smokers to experience sleep problems (54). Inadequate sleep is strongly associated with smoking (55). In the present study, however, no correlation was found between sleep duration and depression scores among smoking menopausal women. It may be caused by chronic exposure to cigarette smoke, which interferes with the expression of estrogen in the female body, resulting in elevated estrogen levels (56). At the same time, menopausal women have an increased risk of depression due to the decline in estrogen levels, which affects sleep (9). It is possible that this interaction contributed to the lack of a correlation between sleep duration and depression in this study’s menopausal smokers. In addition, among diabetic menopausal women, the reduced hours of sleep were associated with greater levels of depression. Notably, unhealthy sleep habits are associated with an increased risk of diabetes (57). People with diabetes are more likely than non-diabetics to sleep less (58). As a consequence, diabetic menopausal women sleep too little, which increases the risk of depression.

Our research has a couple of limitations. First, this was a cross-sectional investigation; therefore, it was impossible to establish a causal relationship between depressive symptoms and sleep duration. Thus, in the future, longitudinal studies and animal experiments are needed to investigate the causal relationships in this research. Second, data on sleep duration and depression were collected through self-report, which may introduce statistical bias; however, one study found a correlation between self-reported sleep duration and objective measures (59). Thirdly, despite including many potential confounding variables in our analysis, we cannot rule out the influence of all confounding variables. Regardless of these limitations, our research has numerous benefits. Due to the use of a nationally representative sample, our research is representative of the menopausal women population in the United States. Besides this, the large number of participants that formed our study allowed us to conduct a subgroup analysis.

5. Conclusion

Our study found a correlation between sleep duration and depression in menopausal women. Insufficient or excessive sleep may increase the risk of depression in menopausal women.

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.

Ethics statement

The studies involving human participants were reviewed and approved by the NCHS Ethics Review Board. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

FZ: Resources, Writing – original draft. LC: Conceptualization, Writing – review & editing.

Funding Statement

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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