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Article

Lower Blood Vitamin D Levels Are Associated with Depressive Symptoms in a Population of Older Adults in Kuwait: A Cross-Sectional Study

by
Thurayya Albolushi
1,*,
Manal Bouhaimed
2 and
Jeremey Spencer
1
1
Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, School of Chemistry, Food and Pharmacy University of Reading, Reading RG6 6AP, UK
2
Department of Community Medicine and Behavioral Sciences, Faculty of Medicine, Kuwait University, P.O. Box 24923, Safat 13110, Kuwait
*
Author to whom correspondence should be addressed.
Nutrients 2022, 14(8), 1548; https://doi.org/10.3390/nu14081548
Submission received: 24 February 2022 / Revised: 27 March 2022 / Accepted: 5 April 2022 / Published: 8 April 2022
(This article belongs to the Section Geriatric Nutrition)
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Abstract

:
Low serum vitamin D has been associated with an increased risk of neuropsychiatry disorders. This study aimed to examine the association between vitamin D deficiency and depression in adults aged 65 years and older. This cross-sectional study was conducted in seven primary healthcare centers across Kuwait (November 2020 to June 2021). The participants (n = 237) had their serum vitamin D 25-(OH)-D concentrations (analyzed by LC-MS) classified as sufficient, ≥75 nmol/L (30 ng/mL); insufficient, 50–75 nmol/L (20–30 ng/mL); or deficient, <50 nmol/L (20 ng/mL). Depressive symptoms were evaluated using the 15-Item Geriatric Depression Scale (15-item GDS). The mean serum 25-OH-D levels (nmol/L) in volunteers with normal, mild, moderate, and severe depression were 100.0 ± 31.7, 71.2 ± 38.6, 58.6 ± 30.1 and 49.0 ± 6.93, respectively (p < 0.001). The participants in the vitamin D sufficiency group were significantly less likely to exhibit depressive symptoms (88.2%) than patients with mild (36%) and moderate (21%) depression (p < 0.001). Ordinal logistic regression showed that vitamin D deficiency (OR = 19.7, 95% CI 5.60, 74.86, p < 0.001) and insufficiency (OR = 6.40, 95% CI 2.20, 19.91, p < 0.001) were associated with higher odds of having depressive symptoms. A low serum vitamin D level is a significant predictor of symptoms of depression among older individuals.

Graphical Abstract

1. Introduction

An estimated 322 million individuals suffer from depression worldwide, representing 4.4% of the global population. Depression is a leading cause of global disability [1] and is associated with reduced productivity, increased mortality, and high healthcare costs (both directly and indirectly) [2,3]. Moreover, depressive symptoms are common in the older adults and especially among the most senior adults [4]. The burden of depression later in life is expected to increase in Kuwait, as the proportion of its population who are aged 65 or over—currently at 4%—continues to grow at a rapid rate. This proportion is expected to increase to 4.41% of the overall population by mid-2025, and, by mid-2050, is expected to increase significantly to 17.90% [5]. Many adverse outcomes may be encountered by people who are older experiencing symptoms of depression, such as cognitive impairment, functional decline, lower quality of life, and disability [6]. While a full explanation of the pathophysiology and etiology of depression has yet to be provided, recent evidence indicates that various biological factors could impact mood [7]. Among these, vitamin D has emerged as a prominent nutrient associated with good mental health [8].
Vitamin D deficiency is a major public health problem worldwide, especially among older adults [9]. It has been linked to chronic diseases such as frailty, sarcopenia, osteoporosis, mild cognitive impairment, dementia, depression, and type 2 diabetes mellitus (T2DM) [10,11]. Older people are at particular risk of hypovitaminosis of vitamin D, potentially due to a number of lifestyle factors such as a lack of sun exposure, reduced diet quality, and age-related decline in the efficiency of vitamin D synthesis and metabolism [12].
The potential association between depression and vitamin D deficiency is supported by systematic reviews and meta-analyses of observational studies [13,14] as well as by other observational research evidence [15], where participants with severe vitamin D deficiency tend to be older and more likely to suffer from depressive symptoms [16,17,18,19,20]. However, other studies show no clear association or else mixed results [21,22,23]. The uncertainty of the relationship between depression and vitamin D may be further complicated by differences and limitations in methodological design. Most clinical research studies conducted in this area have used a limited sample size [24], administering symptom questionnaires to measure depression in general terms but not adopting methods such as clinical interviews to carry out psychiatric diagnoses, or have used the (less optimal) measurement of vitamin D via laboratory methods [4,23,25,26]. Moreover, most studies on this topic have been conducted among the residents of Western countries [18,25] or Asian populations [26].
This study aims to better understand the association between vitamin D status and depression among older adults in Kuwait while addressing many of the a forementioned limitations of the existing literature. In particular, it was hypothesized that a low plasma vitamin D < 50 nmol/L (20 ng/mL) [27] would predict symptoms of depression in older adults.

2. Materials and Methods

2.1. Population

The study was conducted in Kuwait in a population aged 65 years and over. A cross-sectional analysis was conducted between November 2020 and June 2021 across seven primary healthcare centers, which provide geriatric care through specialized geriatric clinics across Kuwait. A list of these primary healthcare centers was obtained from the Kuwait Ministry of Health (MoH). It included 18 geriatric clinics distributed across all six Governorates in the country. The seven healthcare centers were selected via stratified random sampling from these six Governates. The seven centers were selected as follows: one each from the Capital, Hawaly, Jahra, Mubarak Al-Kabeer, and Ahmadi and two from Farwanya. Therefore, this research could be described as nationally representative.
Participants were deemed eligible for the study if they were Kuwaiti citizens aged 65 years or above, with no global cognitive impairment (e.g., dementia and Alzheimer’s disease) and/or clinical diagnosis of depression, and not taking any anti-depression medication that could affect the outcome measures. The participants had to be Arabic speakers, with Arabic as their primary language, and had to have no vision or hearing problems that could prevent them from understanding the instructions and providing informed consent. Individuals with disabilities (e.g., bedridden), those reluctant to participate, and those with any disease that could affect vitamin D synthesis (e.g., liver disease, kidney disease, and skin cancer) were excluded from this study. Screening was performed using the measurement of Na, K, Cl, creatinine, albumin, urea, uric acid, and total bilirubin as well as other blood tests (gamma DT level, ALT, ALP, and CBC) to rule out poor kidney or liver function. Only participants with normal kidney function were recruited for the study. Moreover, only participants with complete data for depressive symptoms and measured 25-hydroxyvitamin D (25 [OH]D) were included in the analyses. This is summarized in the CONSORT recruitment diagram (see Figure 1).
To measure the association between variables (for example, between vitamin D and depression), the sample size was determined using the G-power program at the medium effect size of 0.3, a power of 0.80, and an alpha level of 0.05 to set the association [28]. After conducting the analysis with the power sample size, a minimum sample size was determined as 237 patients.

2.2. Ethical Approval and Informed Consent

This study was approved by the University of Reading Ethics Committee for Clinical Research (approval protocol no.: URCE 19/47) and by the Kuwait Ministry of Health Standing Committee for the Co-ordination of Medical Research (approval protocol no.: CB20-63MM-01). Participation then commenced with signing an informed consent form once the study’s aims, objectives, and collection procedures had been explained individually to each older adult invited. Those willing to participate signed the consent form, wherein the risks and benefits of the study were clearly explained. The study followed the principles of the Declaration of Helsinki.

2.3. Primary Outcome

Depression levels were measured using the Geriatric Depression Scale-15 (GDS-15) [29].

2.4. Data Collection and Covariates

The study covariates were measured based on variables in the extant literature [13,30], which could potentially confound symptoms of depression with serum 25(OH)D.
Sociodemographic and Lifestyle Factors, and Chronic Disease
Initial telephone screening interviews were carried out to identify potentially suitable participants. Research data were collected through one-on-one interviews, patient registries, and questionnaires. The data collected included the participants’ socioeconomic and demographic variables, such as their age, marital status (divorced, married, single, and widowed), educational level (no formal education, primary/intermediate, high school, diploma, university, or above), and income, and a lifestyle habits questionnaire was administered to ascertain smoking status (yes/no), alcohol use (yes/no), and sleep duration/patterns. Physical activity was measured with the Physical Activity Scale for the Elderly (PASE), specifically the International Physical Activity Questionnaire for the Elderly (IPAQ) [31]. In its officially validated, Arabic, short-version format, the IPAQ has been demonstrated to have acceptable validity and reliability when tested on a sample of Lebanese adults [32]. Patients’ health history was also obtained, such as any previous diagnosis of chronic diseases (e.g., type-2 diabetes, dyslipidemia, hypertension, cardiovascular disease (CVD), and osteoporosis). The researchers had access to patients’ medical history/records, and all participants were referred by medical practitioners who physically examined them to confirm previous diagnoses. Blood pressure was measured from the left upper arm using a mercury sphygmomanometer. All measurements were performed early in the morning prior to eating or taking any medications. Three separate blood pressure readings were taken and averaged. The physicians measuring blood pressure followed the International Society of Hypertension Global Hypertension Practice Guidelines [33]. Cognitive function was assessed by administering the 30-item Mini-Mental State Examination (MMSE), whereby scores lower than 24 would indicate cognitive impairment [23]. The MMSE scale has also been validated in an Arabic version [34].
Nutritional status was assessed according to anthropomorphic parameters (i.e., weight, height, body mass index (BMI), waist circumference, hip circumference, and waist–hip ratio (WHR)). BMI and WHR were classified according to the WHO cut-off points [35]. The Fitzpatrick Classification of Skin Phototype was applied by one assessor (for consistency) to measure the color of the participants’ skin as (I) very fair, (II) fair, (III) fair to medium, (IV) medium, (V) olive or dark, and (VI) very dark with deep pigmentation [36]. A sun exposure questionnaire was administered to assess the participants’ attitudes towards sun exposure (e.g., sun exposure time, sun cream use, and clothing worn) [37].
Information about vitamin D and calcium supplementation was collected using the Food Frequency Questionnaire (SFFQ), which was validated for the setting. This was a modified version of a previously validated questionnaire [38,39]. The original questionnaire was in English and was then translated into Arabic. From the questioner results, positive correlations were observed of daily vitamin D (r = 0.82, p < 0.001) and calcium intake (r = 0.74, p < 0.001). Food models or serving containers were used to estimate serving size. The SFFQ also included questions about the regular use of vitamin D and calcium supplements.
Lifestyle factors—for example, physical activity, smoking status, BMI, and diet—have been indicated as bidirectionally associated with depressive symptoms [40]. Therefore, lifestyle factors may be confounders in the relationship between symptoms of depression and vitamin D levels. It is therefore important for lifestyle factors to be considered in the statistical analysis. The entire questionnaire in this study was carefully developed and validated after an extensive review of the literature and pilot testing with 10 participants who were not included in the main study.

2.5. Biochemical Assessment

Assessment of Serum Vitamin D, Parathyroid Hormone (PTH), and the Biochemistry Test
A trained nurse collected 10 mL of blood from each participant and placed the sample in a tube containing gel (SST II Advance, BD Vacutainer). The samples were then shielded from the light. On the day of collection, the samples were centrifuged at 2000× g for 15 min; the serum was then poured into Eppendorf tubes and stored at −80 °C, until the samples were required for analysis [41]. Serum 25-(OH)-D concentration was applied as a measure of vitamin D level because this is the main circulating form of vitamin D. It comprises vitamin D consumed in food and vitamin D produced through sun exposure [41]. Qualified phlebotomists collected fasting blood samples, which were subsequently measured in a College of American Pathologists-accredited laboratory using liquid chromatography-tandem mass spectrometry (MC/MS/MS). This method is recommended for assessing vitamin D status in epidemiological studies [41,42].
In accordance with Endocrine Society guidelines, the following cut-offs for 25-(OH)-D were applied in this study to define vitamin D sufficiency, ≥75 nmol/L (30 ng/mL); vitamin D insufficiency, 50–75 nmol/L (20–30 ng/mL); and vitamin D deficiency, <50 nmol/L (20 ng/mL) [27]. Additionally, serum intact PTH was measured using the access intact PTH electrochemiluminescence immunoassay, with a commercial kit version of the Cobas E601 module analyzer, in accordance with the manufacturer’s instructions. The PTH reference range is 1.6–6.9 pmol/L when a patient is normocalcemic. Furthermore, serum cortisol was measured using electrochemiluminescence with e411/ELECSYS. In this procedure, serum cortisol samples were collected early in the morning (07.00–08.00). Additionally, fasting blood glucose (serum mmol/L) was measured with the Architect c4000 clinical chemistry analyzer, and serum calcium was measured using Arsenazo III dye (Architect plus c 4000, Abbott, Abbott Park, IL, USA). In addition, phosphorus (serum mmol/L) levels were evaluated with phosphomolybdate UV (Architect plus c 4000, Abbott, Abbott Park, IL, USA), as was alkaline phosphatase U/L.

2.6. Assessment of Depressive Symptoms

The participants’ depressive symptoms were clinically evaluated by a geriatrician and assessed using the GDS-15. This scale was developed by Yesavage et al. [29] to measure symptoms of depression in older populations. The GDS-15, which has been validated for use as a clinical instrument [32], can either be self-administered or applied as an interview guide. The advantage of this questionnaire is that the questions are in a simple yes/no format, making them easy for older subjects with impaired cognitive function to understand. For instance, the version used takes approximately 5–7 min to complete, rendering it suitable for respondents who may be easily fatigued or limited in their ability to concentrate for prolonged periods. The GDS-15 has been validated and translated into Arabic from English by a professional translator and two bilingual psychiatrists [43,44]. The Arabic version was adopted for this study. The scale has 15 dichotomous items, with a possible score of 0–15 [45]. A score of 0–4 indicates no depression, a score of 5–8 indicates mild depression, a score of 9–11 indicates moderate depression, and a score of 12–15 indicates severe depression [46]. For this study, the GDS-15 was applied as an interview guide. A researcher verbally asked the participants each question and recorded their responses.

2.7. Statistical Analysis

Frequencies and percentages were used to summarize categorical variables, whereas continuous variables were summarized using mean and standard deviation (SD) as the data were tested for normal distribution. Univariate analysis was performed with a Chi-square test of independence for categorical variables. One-way ANOVA was used to assess the association between the category of depression and continuous variables. Ordinal logistic regression (OLR) was used to assess the association between the category of 25-OH-D (deficiency, insufficiency, and sufficiency) and depression (normal, mild, moderate, and severe). The model was adjusted for gender, age, marital status, income, sun exposure, sleep duration (hours/day), activity, hypertension, cardiovascular disease, and dyslipidemia. The model was also adjusted for PTH concentration and vitamin D supplementation. The exponentiated coefficients for OLR represent the odds of having a higher depression score (y > j) compared with having a lower score (y ≤ j). Brant’s test was conducted to check the proportionality assumption. Brant’s test assesses whether the observed deviations from OLR are greater than those that would be expected through change alone. In addition, a likelihood ratio test was applied to compare the ordinal and multinomial logistic regression models. Post hoc pairwise comparisons of the level of depressive symptoms and vitamin D status were also conducted. p-values < 0.05 were considered statistically significant. Data analysis was performed using the SPSS software package, version 27 (SPSS Inc., Chicago, IL, USA) and R v 3.6.3.

3. Results

3.1. Characteristics of the Study Samples

A total of 237 participants were included in this study (54% female; 46% male) (Table 1). Various socioeconomic and demographic factors were associated with depressive symptoms (Table 1 and Table 2). For instance, gender, marital status, income, sleep duration, physical activity, walking, serum 25-(OH)-D level, vitamin D supplementation, calcium intake, cardiovascular disease, dyslipidemia, and sun exposure were associated with symptoms of depression. Similar numbers of participants were categorized with vitamin D sufficiency, insufficiency, and deficiency (36.7%, 32.9% and 30.4%, respectively). Most of the participants with deficiency and insufficiency showed mild and moderate depression symptoms, while most of the participants with sufficiency showed normal or mild depression symptoms (Table 2). A total of 100 participants were taking vitamin D supplements, of which 28 participants did not report any depressive symptoms, 43 had mild depression, and 29 had moderate depression (Table 1).
The GDS-15 categories were significantly associated with 25-(OH)-D, PO4 and PTH levels (Table 3). The mean 25(OH)D values for participants in the normal, mild, moderate, and severe categories were 100 ± 31.7, 71.2 ± 38.6, 58.6 ± 30.1 and 49.0 ± 6.93, respectively (p < 0.001). The mean PO4 values for participants with severe (1.43 ± 0.29) depression were higher than those for participants with no (1.13 ± 0.13), mild (1.12 ± 0.17), and moderate (1.12 ± 0.16) depressive symptoms. The mean PTH values in participants with severe (15.4 ± 18.6) depression were also higher than those in participants with normal (5.55 ± 2.17), mild (5.89 ± 2.45), and moderate (6.19 ± 3.23) depression. No significant difference was observed between participants with normal, mild, moderate, and severe depression in terms of other laboratory parameter factors—namely, ALP, Ca, cortisol (AM), blood glucose and insulin, BMI, or WHR. Waist and hip measurements were significantly different between the groups (p < 0.001).

3.1.1. Association between Symptoms of Depression (GDS-15) and 25-(OH)-D Levels

Welch’s test was statistically significant (Fwelch (3, 15.12) = 20.18, p < 0.001, E ( ω p 2 ) = 0.75, CI (0.43, 0.86)), indicating an association between the GDS-15 scores and 25(OH)D levels. Post hoc pairwise comparisons showed that the average 25-(OH)-D levels (Supplementary Figure S1) were significantly higher in normal participants than in participants with mild, moderate, or severe depressive symptoms (p < 0.001 for all pairwise comparisons).

3.1.2. Association between GDS-15 and 25(OH)D Grouped by Variables

When the analysis was stratified by gender, a statistically significant association was observed between the GDS-15 scores and 25(OH)D levels among the female (Fwelch (3, 17.96) = 18.49, p < 0.001, E ( ω p 2 ) = 0.70, CI (0.39, 0.83)) and male (Fwelch (2, 39.33) = 12.93, p < 0.001, ω ^ p 2 = 0.36, CI [0.12, 0.54]) participants. Pairwise comparisons indicated a statistically significant difference in the average 25(OH)D values among the pairs: normal–moderate (p = 0.001), normal–severe (p < 0.001), and mild–severe (p = 0.002) in the female participants (Supplementary Figure S2). Moreover, in the male participants, a significant difference was observed between the pairs: normal–mild (p = 0.002) and normal–moderate (p < 0.001).
A significant association was observed between the GDS-15 scores and average 25-OH-D levels in participants receiving vitamin D supplements (Fwelch (2, 3.46) = 22.28, p = 0.011, E ( ω p 2 ) = 0.87, CI (0.00, 0.96)). Post hoc pairwise comparisons indicated a significant difference in average GDS-15 scores between participants with insufficiency and sufficiency (p = 0.002). Only two participants who received supplementation displayed 25-OH-D deficiency.
Supplementary Figures S3 and S4 present the association between GDS-15 and 25-(OH)-D grouped by cardiovascular category and level of physical activity.

3.1.3. Ordinal Logistic Regression (OLR) Analysis for the Association between Depressive Symptoms and 25-(OH)-D Status

The results (Figure 2) showed that 25-(OH)-D levels were significantly associated with depression after adjusting for other variables in the model. The odds of a higher depression score were significantly higher in participants with insufficient 25-(OH)-D than in participants with 25-OH-D sufficiency (OR = 6.40, p < 0.001). The odds were even lower in participants with sufficient 25-(OH)-D (OR = 19.70, p < 0.001). Gender displayed a statistically significant association with depression (OR = 0.34, p = 0.01), whereas age and marital status did not. Other factors that demonstrated a statistically significant association with depression were sleep duration in hours and physical activity. A longer sleep duration (hours/day) was associated with lower odds of having a high depression score (OR = 0.75, p = 0.03) (Supplementary Table S1). Similarly, physical activity was associated with lower odds of having a high depression score (OR = 0.34, p = 0.001). This indicates that the odds of having a high depression score were 66% lower in respondents who engaged in physical activity than in those who did not. Neither the presence of comorbidities nor monthly income showed a statistically significant association with the depression score.

4. Discussion

This study showed an association between the serum 25-OH-D concentration and depressive symptom scores measured using the GDS-15. The findings suggest that lower levels of serum 25-OH-D are associated with depressive symptoms in a population of older adults. Moreover, this association remained after adjusting for potential confounding factors related to sociodemographic, health, and lifestyle variables. These results may have important implications regarding the provision of novel therapeutic targets for symptoms of depression in a population of older adults.
In addition, these results are in line with published meta-analyses and reviews on vitamin D status and symptoms of depression [13]. Studies have found that low vitamin D at baseline is associated with depressive symptoms in older adults [8,17,23]. Several direct and indirect biological mechanisms have been hypothesized to describe these associations, including the role of vitamin D in regulating neurotransmitters, dopamine, acetylcholine, and noradrenaline as well as in affecting neurotrophic factors [47]. Vitamin D receptors and the vitamin D-activating enzyme, 1a-hydroxylase, are present in regions of the human brain (for example, the prefrontal cortex and hippocampus), which are recognized as being associated with the pathophysiology of depression [48,49]. Vitamin D also helps regulate serotonin production and may indirectly fight depressive symptoms via its proposed anti-inflammatory effect [3,18,21]. It has been indicated that one action of vitamin D is to stimulate the expression of the serotonin-synthesizing gene, tryptophan hydroxylase 2, while suppressing the expression of tryptophan hydroxylase 1. Both tryptophan hydroxylase 1 and tryptophan hydroxylase 2 play vital roles in serotonin synthesis [18]. Thus, vitamin D may prevent depression by preserving normal serotonin levels [18,50]. However, despite the beneficial connection between vitamin D and depression, some of the previous literature has failed to confirm this association [23,26,51], which is probably due to differences in study design, the various methods used for diagnosing depression, the machinery used to analyze vitamin D, and ethnic/racial diversity.
In this study, the association between serum vitamin D levels and depressive symptoms, observed in a sample comprising both men and women, was stronger in women than in men, which could indicate this group’s greater vulnerability to depression. Previous studies have described gender differences that frequently indicate lower 25-(OH)-D levels in women than in men. In particular, older women with vitamin D deficiency have reported more depressive symptoms [52]. Other studies have likewise revealed a higher prevalence of depressive symptoms among women, such as, for example, studies conducted in China [4], South Korea [26], England [51], and southern Brazil [20]. Moreover, in Kuwait, symptoms of depression also appear to be more common among women [53]. The reasons for these differences between men and women are likely to be that the major determinants of depression differ between them. For example, it is proposed that, in men, depression is mainly influenced by physical factors, whereas in women, depression is mainly influenced by social–psychological factors [54,55]. An examination of vitamin D levels in men and women with similar levels of depression has demonstrated that the levels in men appear to be lower than those measured in women, perhaps indicating that vitamin D levels need to fall further from a normal range before men experience depression, although this needs further investigation. Future research on the effects of vitamin D should examine the differences between men and women in depth when assessing the risk of depressive symptoms among older adults.
Meanwhile, the present results revealed a correlation between serum 25-OH-D concentrations and depressive symptoms in relation to physical activity in a population of older adults. Likewise, a recent meta-analysis revealed that physical activity can confer protection against the occurrence of depressive symptoms [56]. A recent study showed that older adults are not expected to be capable of engaging in a high rate of vigorous physical exercise, reporting that, in order to gain benefits from physical exercise, moderate physical activity is a more realistic approach for older adults [57]. Physical activity, if performed outdoors, is important for both the dermal production of vitamin D and its own potential to relieve depressive symptoms [58]. Conversely, individuals with depression are more likely to stay indoors and have poorer dietary patterns, thereby affecting their levels of vitamin D [59,60].
The current findings show that short sleep duration and low vitamin D levels are both associated with depressive symptoms in a population of older adults, thereby supporting the findings of previous studies. For example, Kim et al. [61] investigated the association between self-reported sleep duration and serum vitamin D levels in older Korean adults. The results suggested that a shorter sleep duration was correlated with lower vitamin D status among older adults. Another study found a relationship between sleep apnea and vitamin D deficiency [62]. The association between both vitamin D deficiency and sleep disorders in an older population may be explained as follows: several studies have identified vitamin D receptors in nearly all tissues in the body, including both neuronal and glial cells in the central nervous system [63]. Vitamin D receptors are present in an area of the brain that regulates the sleep–wake cycle, among other behaviors [50,64,65]. The evidence suggests that sleep disorders and circadian rhythm deregulation are also more common among older people, compared with among younger adults [66]. However, aging is one of the main risk factors for sleep curtailment, which is consequently more common among older adults [64]. Therefore, the shorter sleep duration in older adults may explain, at least in part, the age-related changes in vitamin D levels and metabolism. Nevertheless, new studies are necessary to test these hypotheses.
The present study found no association between vitamin D status and depressive symptoms in relation to sun exposure. In contrast, Cui et al. [65] revealed that increased duration of sunlight exposure was correlated with decreased depressive symptoms in older women aged 60 years and over. Lambert et al. [67] suggested that the prevailing amount of sunlight affects the brain’s serotonergic activity. Inadequate serotonin and low brain serotonergic activity have been associated with both seasonal affective disorder [67] and depression [68]. The discrepancy in these findings may be because the present study sample tended to be limited in their sun exposure overall. The reason for this avoidance was likely to be due to the extremely high temperatures that are typical in this geographic region, especially in summer [41,65].
In the present results, no significant association was observed between vitamin D, PTH, and the presence of severe depressive symptoms in a population of older adults. Two previous studies have produced similar results [69], with Pan et al. [69] and Zhao et al. [70] not finding any relationship between serum 25-(OH)-D, PTH, and depressive symptoms. Conversely, the present results conflict with the findings of Hoogendijk et al. [25], who reported that decreased vitamin D and increased PTH were significantly associated with a high depression score. Studies have suggested that PTH may play a role in the pathogenesis of depression, and vitamin D status could be a direct or indirect intermediating factor. For example, low vitamin D and increased PTH possibly increase inflammation in the body, which is a risk factor for depressive symptoms [71]. These contradictory findings may be due to the different research methods and populations used and to the self-reported depression scales used to assess symptoms of depression (GDS-15 in the present study and the Center for Epidemiologic Studies Depression Scale in Hoogendijk et al. [25]).
Given the high prevalence of depressive symptoms and low serum 25-OH-D levels, a correlation between these two conditions has significant public health implications. The prevention of vitamin D deficiency may become a future strategy to prevent the development of depression [72]. Numerous cost-effective intervention strategies, including vitamin D supplementation, sunlight exposure, and fortified food intake, have been identified as effective ways of improving low vitamin D levels, especially since supplementation with vitamin D is cost-effective and does not have significant adverse effects [4,73]. Furthermore, the increase in the natural production of serotonin brought about by vitamin D could potentially enhance the effect of serotonin taken orally as an antidepressant [18].
Some studies have found an association between vitamin D supplementation and depression [46,74], while others have found no association [75,76]. In the present study, only 42.2% of the participants were taking vitamin D supplements, despite depression and vitamin D deficiency being common conditions in older adults [74]. Moreover, the majority of those taking vitamin D supplements were in the group with a normal level of depressive symptoms, which declined with an increase in the severity of depression, where 0% of those with severe depressive symptoms were taking such supplements. The univariate analysis uncovered a significant association between the GDS-15 score and average 25-(OH)-D level in the participants receiving vitamin D supplements. In the present study, the effects of vitamin D supplementation on depressive symptoms were not specifically examined, but information on vitamin D and calcium supplements was used because these can affect vitamin D levels. Future studies could further examine these relationships given the inconsistent findings from previous work, particularly that on populations of older adults in the Arabian Gulf. Furthermore, the clinical implications of these results indicate that healthcare experts should be mindful of this relationship in the older adult population so that suitable interventions can be provided.
Strengths and Limitations
This study had several strengths. For instance, this is the first study to measure vitamin D levels and symptoms of depression in a large, nationally representative sample of elderly adults in Kuwait or, indeed, anywhere in the Gulf region. Samples were collected from senior citizens from Kuwait’s six Governorates. This meant that the sample was representative of older adults in Kuwait, both male and female and aged 65 years and above. Additionally, this study considered numerous covariates that are important in the relationship between vitamin D status and depressive symptoms, such as skin color and the season in which blood samples are collected. Additionally, the 15-item GDS, which evaluates depressive symptoms, has been widely used as a screening tool in similar studies and validated for application in the Kuwaiti population.
Validated and standardized questionnaires were also administered to obtain data on sun exposure, physical activity, food frequency, and general use of vitamin D supplementation. However, with all self-reported information (e.g., IPAQ and SFFQ), there is the potential for reporting bias, with respondents tending to over-report socially desirable behaviors and to under-report behaviors that are viewed as less desirable. Specifically, the MMSE may be influenced by language, culture, and education level. Levels of 25(OH)D were measured using MC/MS/MS, which is considered the most sensitive and precise method available for determining 1,25-(OH)2-D2, while D3 serum 25(OH)D concentration reflects the vitamin D obtained from dietary sources, supplements, and subcutaneous synthesis, stimulated by exposure to UVB radiation from sunlight. However, the present study also has some limitations. Due to its cross-sectional design, it was not possible to draw conclusions regarding causal associations. Second, depression was assessed via a self-reported scale and not through clinical diagnosis, although only participants who were older and not on antidepressant medication were included in this study. Lastly, kidney function measurements, which could have impacted on vitamin D status and provided additional insights into our findings, were not included in the statistical analysis.

5. Conclusions

In conclusion, it was found that the symptoms and severity of depression, measured using the GDS-15 scale, were strongly inversely associated with serum 25-(OH)-D, even after adjustment for sex, physical activity, health status, and marital status. These findings could have significant public health implications for the identification and treatment of depressive symptoms among older adults. Well-designed RCTs investigating the administration of vitamin D for the prevention and treatment of depression in older adults with a concurrent vitamin D deficiency < 50 nmol/L (20 ng/mL) who are depressed at baseline are key to this area of research. These trials should have dosing protocols, uniform assays, and an adequate control of confounders.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/nu14081548/s1: Figure S1: Results of the association between GDS-15 and 25-OH-D, grouped by CVD category; Figure S2: Association between GDS-15 and 25(OH)D grouped by gender; Figure S3: Results of the association between GDS-15 and 25-OH-D, grouped by CVD category; Figure S4: Association between GDS-15 and 25-(OH)-D grouped by physical activity; Table S1: Results of the ordinal logistic regression for the association between depression and 25(OH)D status after adjusting for other factors.

Author Contributions

T.A., M.B. and J.S. contributed to the study design, conception, analysis, and interpretation of the data. The day-to-day implementation of the trial was conducted by T.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Kuwait Foundation for the Advancement of Sciences (grant no.: CB20-63MM-01).

Institutional Review Board Statement

This study was conducted according to the guidelines of the Declaration of Helsinki. It was then approved by the relevant University of Reading Ethics Committee for Clinical Research (approval protocol no.: URCE 19/47; date of approval: 25 June 2020) and by the Kuwait Ministry of Health Standing Committee for the Co-ordination of Medical Research (approval protocol no.: CB20-63MM-01).

Informed Consent Statement

Informed consent was obtained from all participants involved in the study.

Data Availability Statement

The data presented in this study are available from the corresponding author upon request.

Acknowledgments

The author gratefully acknowledges all who participated in this study for their interest and engagement, as well as Paul Setiya and Ahmad Al Saber for the design of the patient registry and their statistical consultation. We also appreciate the support and cooperation of the staff and management of the United Laboratories (Kuwait) during biochemical analysis.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

5-HT5-hydroxytryptamine receptors or serotonin receptors
25(OH)D25-hydroxy vitamin D
BMIBody mass index
CIConfidence interval
GDS-1515-item Geriatric Depression Scale
HSEHealth Survey for England
KDKuwaiti dinars
MMSEMini-Mental State Exam
OROdds ratio
PTHParathyroid hormone
WHOWorld Health Organization

References

  1. Friedrich, M.J. Depression Is the Leading Cause of Disability Around the World. JAMA 2017, 317, 1517. [Google Scholar] [CrossRef]
  2. Vasiliadis, H.-M.; Dionne, P.-A.; Préville, M.; Gentil, L.; Berbiche, D.; Latimer, E. The Excess Healthcare Costs Associated with Depression and Anxiety in Elderly Living in the Community. Am. J. Geriatr. Psychiatry 2013, 21, 536–548. [Google Scholar] [CrossRef]
  3. Di Gessa, G.; Biddulph, J.P.; Zaninotto, P.; de Oliveira, C. Changes in vitamin D levels and depressive symptoms in later life in England. Sci. Rep. 2021, 11, 1–8. [Google Scholar] [CrossRef]
  4. Yao, Y.; Fu, S.; Zhang, H.; Li, N.; Zhu, Q.; Zhang, F.; Luan, F.; Zhao, Y.; He, Y. The prevalence of depressive symptoms in Chinese longevous persons and its correlation with vitamin D status. BMC Geriatr. 2018, 18, 1–7. [Google Scholar] [CrossRef]
  5. Awad, A.; Hanna, O. Potentially inappropriate medication use among geriatric patients in primary care setting: A cross-sectional study using the Beers, STOPP, FORTA and MAI criteria. PLoS ONE 2019, 14, e0218174. [Google Scholar] [CrossRef]
  6. Cullum, S.; Metcalfe, C.; Todd, C.; Brayne, C. Does depression predict adverse outcomes for older medical inpatients? A prospective cohort study of individuals screened for a trial. Age Ageing 2008, 37, 690–695. [Google Scholar] [CrossRef] [Green Version]
  7. Zhang, R.; Naughton, D.P. Vitamin D in health and disease: Current perspectives. Nutr. J. 2010, 9, 65. [Google Scholar] [CrossRef] [Green Version]
  8. Menon, V.; Kar, S.K.; Suthar, N.; Nebhinani, N. Vitamin D and Depression: A Critical Appraisal of the Evidence and Future Directions. Ind. J. Psychol. Med. 2020, 42, 11–21. [Google Scholar] [CrossRef]
  9. Mithal, A.; Wahl, D.A.; Bonjour, J.-P.; Burckhardt, P.; Dawson-Hughes, B.; Eisman, J.A.; Fuleihan, E.-H.; Josse, R.G.; Lips, P.; Morales-Torres, J. Global vitamin D status and determinants of hypovitaminosis D. Osteoporos. Int. 2009, 20, 1807–1820. [Google Scholar] [CrossRef] [Green Version]
  10. Mendoza-Garcés, L.; Velázquez-Alva, M.C.; Cabrer-Rosales, M.F.; Arrieta-Cruz, I.; Gutiérrez-Juárez, R.; Irigoyen-Camacho, M.E. Vitamin D Deficiency is Associated with Handgrip Strength, Nutritional Status and T2DM in Community-Dwelling Older Mexican Women: A Cross-Sectional Study. Nutrients 2021, 13, 736. [Google Scholar] [CrossRef]
  11. Omidian, M.; Mahmoudi, M.; Abshirini, M.; Eshraghian, M.R.; Javanbakht, M.H.; Zarei, M.; Hasani, H.; Djalali, M. Effects of vitamin D supplementation on depressive symptoms in type 2 diabetes mellitus patients: Randomized placebo-controlled double-blind clinical trial. Diabetes Metab. Syndr. Clin. Res. Rev. 2019, 13, 2375–2380. [Google Scholar] [CrossRef]
  12. Boucher, B.J. The problems of vitamin d insufficiency in older people. Aging Dis. 2012, 3, 313–329. [Google Scholar]
  13. Anglin, R.E.S.; Samaan, Z.; Walter, S.D.; McDonald, S.D. Vitamin D deficiency and depression in adults: Systematic review and meta-analysis. Br. J. Psychiatry 2013, 202, 100–107. [Google Scholar] [CrossRef]
  14. Ju, S.-Y.; Lee, Y.-J.; Jeong, S.-N. Serum 25-hydroxyvitamin d levels and the risk of depression: A systematic review and meta-analysis. J. Nutr. Health Aging 2013, 17, 447–455. [Google Scholar] [CrossRef]
  15. Han, B.; Lyu, Y.; Sun, H.; Wei, Y.; He, J. Low serum levels of vitamin D are associated with post-stroke depression. Eur. J. Neurol. 2015, 22, 1269–1274. [Google Scholar] [CrossRef]
  16. Lee, D.M.; Tajar, A.; O’Neill, T.W.; O’Connor, D.B.; Bartfai, G.; Boonen, S.; Bouillon, R.; Casanueva, F.F.; Finn, J.D.; Forti, G.; et al. Lower vitamin D levels are associated with depression among community-dwelling European men. J. Psychopharmacol. 2011, 25, 1320–1328. [Google Scholar] [CrossRef]
  17. Lapid, M.; Takahashi, P.; Cha, S. Vitamin D and depression in geriatric primary care patients. Clin. Interv. Aging 2013, 8, 509–514. [Google Scholar] [CrossRef] [Green Version]
  18. De Oliveira, C.; Hirani, V.; Biddulph, J.P. Associations between vitamin D levels and depressive symptoms in later life: Evidence from the English Longitudinal Study of Ageing (ELSA). J. Gerontol. Ser. A 2018, 73, 1377–1382. [Google Scholar] [CrossRef] [Green Version]
  19. Vidgren, M.; Virtanen, J.; Tolmunen, T.; Nurmi, T.; Tuomainen, T.-P.; Voutilainen, S.; Ruusunen, A. Serum Concentrations of 25-Hydroxyvitamin D and Depression in a General Middle-Aged to Elderly Population in Finland. J. Nutr. Health Aging 2018, 22, 159–164. [Google Scholar] [CrossRef]
  20. Ceolin, G.; Matsuo, L.H.; Confortin, S.C.; D’Orsi, E.; Rieger, D.K.; Moreira, J.D. Lower serum 25-hydroxycholecalciferol is associated with depressive symptoms in older adults in Southern Brazil. Nutr. J. 2020, 19, 123. [Google Scholar] [CrossRef]
  21. Bertone-Johnson, E.R. Vitamin D and the occurrence of depression: Causal association or circumstantial evidence? Nutr. Rev. 2009, 67, 481–492. [Google Scholar] [CrossRef] [PubMed]
  22. Parker, G.; Brotchie, H. ‘D’ for depression: Any role for vitamin D? ‘Food for Thought’II. Acta Psychiatr. Scand. 2011, 124, 243–249. [Google Scholar] [CrossRef] [PubMed]
  23. Toffanello, E.D.; Sergi, G.; Veronese, N.; Perissinotto, E.; Zambon, S.; Coin, A.; Sartori, L.; Musacchio, E.; Corti, M.-C.; Baggio, G.; et al. Serum 25-Hydroxyvitamin D and the Onset of Late-Life Depressive Mood in Older Men and Women: The Pro.V.A. Study. J. Gerontol. Ser. A 2014, 69, 1554–1561. [Google Scholar] [CrossRef]
  24. Wilkins, C.H.; Sheline, Y.I.; Roe, C.M.; Birge, S.J.; Morris, J.C. Vitamin D Deficiency Is Associated with Low Mood and Worse Cognitive Performance in Older Adults. Am. J. Geriatr. Psychiatry 2006, 14, 1032–1040. [Google Scholar] [CrossRef] [Green Version]
  25. Hoogendijk, W.J.G.; Lips, P.; Dik, M.G.; Deeg, D.J.H.; Beekman, A.T.F.; Penninx, B.W.J.H. Depression Is Associated With Decreased 25-Hydroxyvitamin D and Increased Parathyroid Hormone Levels in Older Adults. Arch. Gen. Psychiatry 2008, 65, 508–512. [Google Scholar] [CrossRef]
  26. Song, B.M.; Kim, H.C.; Rhee, Y.; Youm, Y.; Kim, C.O. Association between serum 25-hydroxyvitamin D concentrations and depressive symptoms in an older Korean population: A cross-sectional study. J. Affect. Disord. 2016, 189, 357–364. [Google Scholar] [CrossRef]
  27. Holick, M.F.; Binkley, N.C.; Bischoff-Ferrari, H.A.; Gordon, C.M.; Hanley, D.A.; Heaney, R.P.; Murad, M.H.; Weaver, C.M.; Endocrine Society. Evaluation, Treatment, and Prevention of Vitamin D Deficiency: An Endocrine Society Clinical Practice Guideline. J. Clin. Endocrinol. Metab. 2011, 96, 1911–1930. [Google Scholar] [CrossRef] [Green Version]
  28. Faul, F.; Erdfelder, E.; Lang, A.-G.; Buchner, A. G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 2007, 39, 175–191. [Google Scholar] [CrossRef]
  29. Yesavage, J.A.; Brink, T.L.; Rose, T.L.; Lum, O.; Huang, V.; Adey, M.; Leirer, V.O. Development and validation of a geriatric depression screening scale: A preliminary report. J. Psychiatr. Res. 1982, 17, 37–49. [Google Scholar] [CrossRef]
  30. Bigman, G. Vitamin D metabolites, D3 and D2, and their independent associations with depression symptoms among adults in the United States. Nutr. Neurosci. 2020, 1–9. [Google Scholar] [CrossRef]
  31. Al-Hazzaa, H.M. Health-enhancing physical activity among Saudi adults using the International Physical Activity Questionnaire (IPAQ). Public Health Nutr. 2007, 10, 59–64. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Helou, K.; El Helou, N.; Mahfouz, M.; Mahfouz, Y.; Salameh, P.; Harmouche-Karaki, M. Validity and reliability of an adapted arabic version of the long international physical activity questionnaire. BMC Public Health 2018, 18, 49. [Google Scholar] [CrossRef] [PubMed]
  33. Unger, T.; Borghi, C.; Charchar, F.; Khan, N.A.; Poulter, N.R.; Prabhakaran, D. 2020 International Society of Hypertension global hypertension practice guidelines. Hypertension 2020, 75, 1334–1357. [Google Scholar] [CrossRef]
  34. Al Banna, M.; Yehya, A.; Khairi, A.; Dafeeah, E.; Elhadi, A.; Rezgui, L.; Kahlout, S.A.; Yousif, A.; Uthman, B.; Al-Amin, H. Validation and cultural adaptation of the Arabic versions of the Mini–Mental Status Examination—2 and Mini-Cog test. Neuropsychiatr. Dis. Treat. 2017, 13, 793–801. [Google Scholar] [CrossRef] [Green Version]
  35. Weiderpass, E.; Botteri, E.; Longenecker, J.; Alkandari, A.; Al-Wotayan, R.; Al Duwairi, Q.; Tuomilehto, J. The Prevalence of Overweight and Obesity in an Adult Kuwaiti Population in 2014. Front. Endocrinol. 2019, 10, 449. [Google Scholar] [CrossRef] [Green Version]
  36. Alyahya, K.O. Vitamin D levels in schoolchildren: A cross-sectional study in Kuwait. BMC Pediatr. 2017, 17, 213. [Google Scholar] [CrossRef] [Green Version]
  37. Hanwell, H.; Vieth, R.; Cole, D.; Scillitani, A.; Modoni, S.G.; Frusciante, V.; Ritrovato, G.; Chiodini, I.; Minisola, S.; Carnevale, V. Sun exposure questionnaire predicts circulating 25-hydroxyvitamin D concentrations in Caucasian hospital workers in southern Italy. J. Steroid Biochem. Mol. Biol. 2010, 121, 334–337. [Google Scholar] [CrossRef]
  38. Zareef, T.A.; Jackson, R.T.; Alkahtani, A.A. Vitamin D Intake among Premenopausal Women Living in Jeddah: Food Sources and Relationship to Demographic Factors and Bone Health. J. Nutr. Metab. 2018, 2018, 1–13. [Google Scholar] [CrossRef]
  39. Papandreou, D.; Rachaniotis, N.; Lari, M.; Al Mussabi, W. Validation of a Food Frequency Questionnaire for Vitamin D and Calcium Intake in Healthy Female College Students. Food Nutr. Sci. 2014, 5, 2048–2052. [Google Scholar] [CrossRef] [Green Version]
  40. Köhnke, C.; Herrmann, M.; Berger, K. Associations of major depressive disorder and related clinical characteristics with 25-hydroxyvitamin D levels in middle-aged adults. Nutr. Neurosci. 2020, 1–10. [Google Scholar] [CrossRef]
  41. Al-Taiar, A.; Rahman, A.; Al-Sabah, R.; Shaban, L.; Al-Harbi, A. Vitamin D status among adolescents in Kuwait: A cross-sectional study. BMJ Open 2018, 8, e021401. [Google Scholar] [CrossRef] [PubMed]
  42. Vogeser, M. Quantification of circulating 25-hydroxyvitamin D by liquid chromatography–tandem mass spectrometry. J. Steroid Biochem. Mol. Biol. 2010, 121, 565–573. [Google Scholar] [CrossRef] [PubMed]
  43. Ahmed, D.; El Shair, I.H.; Taher, E.; Zyada, F. Prevalence and predictors of depression and anxiety among the elderly population living in geriatric homes in Cairo, Egypt. J. Egypt. Public Health Assoc. 2014, 89, 127–135. [Google Scholar] [CrossRef] [PubMed]
  44. Chaaya, M.; Sibai, A.-M.; El Roueiheb, Z.; Chemaitelly, H.; Chahine, L.M.; Al-Amin, H.; Mahfoud, Z. Validation of the Arabic version of the short Geriatric Depression Scale (GDS-15). Int. Psychogeriatr. 2008, 20, 571–581. [Google Scholar] [CrossRef] [PubMed]
  45. Alavi, N.M.; Khademalhoseini, S.; Vakili, Z.; Assarian, F. Effect of vitamin D supplementation on depression in elderly patients: A randomized clinical trial. Clin. Nutr. 2019, 38, 2065–2070. [Google Scholar] [CrossRef] [PubMed]
  46. Mahfouz, E.M.; Mahfouz, M.M. Comparing three clinical screening tools in identification of geriatric depression in a rural community setting. Egypt. J. Community Med. 2008, 26, 57–73. [Google Scholar]
  47. Shipton, E.A.; Shipton, E.E. Vitamin D and Pain: Vitamin D and Its Role in the Aetiology and Maintenance of Chronic Pain States and Associated Comorbidities. Pain Res. Treat. 2015, 2015, 904967. [Google Scholar] [CrossRef] [Green Version]
  48. Eyles, D.W.; Burne, T.H.; McGrath, J.J. Vitamin D, effects on brain development, adult brain function and the links between low levels of vitamin D and neuropsychiatric disease. Front. Neuroendocr. 2013, 34, 47–64. [Google Scholar] [CrossRef]
  49. Eyles, D.W.; Smith, S.; Kinobe, R.; Hewison, M.; McGrath, J.J. Distribution of the Vitamin D receptor and 1α-hydroxylase in human brain. J. Chem. Neuroanat. 2005, 29, 21–30. [Google Scholar] [CrossRef]
  50. Patrick, R.P.; Ames, B.N. Vitamin D and the omega-3 fatty acids control serotonin synthesis and action, part 2: Relevance for ADHD, bipolar disorder, schizophrenia, and impulsive behavior. FASEB J. 2015, 29, 2207–2222. [Google Scholar] [CrossRef] [Green Version]
  51. Stewart, R.; Hirani, V. Relationship Between Vitamin D Levels and Depressive Symptoms in Older Residents from a National Survey Population. Psychosom. Med. 2010, 72, 608–612. [Google Scholar] [CrossRef]
  52. de Koning, E.J.; Elstgeest, L.E.M.; Comijs, H.C.; Lips, P.; Rijnhart, J.J.M.; van Marwijk, H.W.J.; Beekman, A.T.F.; Visser, M.; Penninx, B.W.J.H.; van Schoor, N.M. Vitamin D Status and Depressive Symptoms in Older Adults: A Role for Physical Functioning? Am. J. Geriatr. Psychiatry. 2018, 26, 1131–1143. [Google Scholar] [CrossRef] [Green Version]
  53. Alsharji, K.E. Anxiety and depression during the COVID-19 pandemic in Kuwait: The importance of physical activity. Middle East Curr. Psychiatry 2020, 27, 1–8. [Google Scholar] [CrossRef]
  54. Elliott, M. Gender differences in causes of depression. Women Health 2001, 33, 183–198. [Google Scholar] [CrossRef]
  55. Wang, S.-J.; Chen, M.-Y. The effects of sunlight exposure therapy on the improvement of depression and quality of life in post-stroke patients: A RCT study. Heliyon 2020, 6, e04379. [Google Scholar] [CrossRef]
  56. Schuch, F.B.; Vancampfort, D.; Firth, J.; Rosenbaum, S.; Ward, P.B.; Silva, E.S.; Hallgren, M.; De Leon, A.P.; Dunn, A.L.; Deslandes, A.C.; et al. Physical Activity and Incident Depression: A Meta-Analysis of Prospective Cohort Studies. Am. J. Psychiatry 2018, 175, 631–648. [Google Scholar] [CrossRef]
  57. Marques, A.; Bordado, J.; Peralta, M.; Gouveia, E.R.; Tesler, R.; Demetriou, Y.; Baya, D.G. Cross-sectional and prospective relationship between physical activity and depression symptoms. Sci. Rep. 2020, 10, 1–8. [Google Scholar] [CrossRef]
  58. Blumenthal, J.A.; Babyak, M.A.; Doraiswamy, P.M.; Watkins, L.; Hoffman, B.M.; Barbour, K.A.; Craighead, W.E.; Brosse, A.L.; Waugh, R.; Hinderliter, A.; et al. Exercise and pharmacotherapy in the treatment of major depressive disorder. Psychosom. Med. 2007, 69, 587. [Google Scholar] [CrossRef] [Green Version]
  59. Imai, C.M.; Halldorsson, T.I.; Eiriksdottir, G.; Cotch, M.F.; Steingrimsdottir, L.; Thorsdottir, I.; Launer, L.J.; Harris, T.; Gudnason, V.; Gunnarsdottir, I. Depression and serum 25-hydroxyvitamin D in older adults living at northern latitudes–AGES-Reykjavik Study. J. Nutr. Sci. 2015, 4, e37. [Google Scholar] [CrossRef] [Green Version]
  60. Okasha, T.A.; Sabry, W.M.; Hashim, M.A.; Abdeen, M.S.; Abdelhamid, A.M. Vitamin D serum level in major depressive disorder and schizophrenia. Middle East Curr. Psychiatry 2020, 27, 1–8. [Google Scholar] [CrossRef]
  61. Kim, J.H.; Chang, J.H.; Kim, D.Y.; Kang, J.W. Association between Self-Reported Sleep Duration and Serum Vitamin D Level in Elderly Korean Adults. J. Am. Geriatr. Soc. 2014, 62, 2327–2332. [Google Scholar] [CrossRef] [PubMed]
  62. Piovezan, R.D.; Hirotsu, C.; Feres, M.C.; Cintra, F.D.; Andersen, M.L.; Tufik, S.; Poyares, D. Obstructive sleep apnea and objective short sleep duration are independently associated with the risk of serum vitamin D deficiency. PLoS ONE 2017, 12, e0180901. [Google Scholar] [CrossRef] [PubMed]
  63. Garcion, E.; Wion-Barbot, N.; Montero-Menei, C.N.; Berger, F.; Wion, D. New clues about vitamin D functions in the nervous system. Trends Endocrinol. Metab. 2002, 13, 100–105. [Google Scholar] [CrossRef]
  64. Moraes, W.; Piovezan, R.; Poyares, D.; Bittencourt, L.; Santos-Silva, R.; Tufik, S. Effects of aging on sleep structure throughout adulthood: A population-based study. Sleep Med. 2014, 15, 401–409. [Google Scholar] [CrossRef]
  65. Cui, Y.; Gong, Q.; Huang, C.; Guo, F.; Li, W.; Wang, Y.; Cheng, X. The relationship between sunlight exposure duration and depressive symptoms: A cross-sectional study on elderly Chinese women. PLoS ONE 2021, 16, e0254856. [Google Scholar] [CrossRef]
  66. Epstein, L.J.; Kristo, D.; Strollo, P.J., Jr.; Friedman, N.; Malhotra, A.; Patil, S.P.; Ramar, K.; Rogers, R.; Schwab, R.J.; Weaver, E.M.; et al. Clinical guideline for the evaluation, management and long-term care of obstructive sleep apnea in adults. JCSM 2009, 5, 263–276. [Google Scholar]
  67. Lambert, G.W.; Reid, C.; Kaye, D.M.; Jennings, G.L.; Esler, M.D. Effect of sunlight and season on serotonin turnover in the brain. Lancet 2002, 360, 1840–1842. [Google Scholar] [CrossRef]
  68. Svenningsson, P.; Chergui, K.; Rachleff, I.; Flajolet, M.; Zhang, X.; El Yacoubi, M.; Vaugeois, J.-M.; Nomikos, G.G.; Greengard, P. Alterations in 5-HT 1B Receptor Function by p11 in Depression-Like States. Science 2006, 311, 77–80. [Google Scholar] [CrossRef] [Green Version]
  69. Pan, A.; Lu, L.; Franco, O.; Yu, Z.; Li, H.; Lin, X. Association between depressive symptoms and 25-hydroxyvitamin D in middle-aged and elderly Chinese. J. Affect. Disord. 2009, 118, 240–243. [Google Scholar] [CrossRef]
  70. Zhao, G.; Ford, E.S.; Li, C.; Balluz, L.S. No associations between serum concentrations of 25-hydroxyvitamin D and parathyroid hormone and depression among US adults. Br. J. Nutr. 2010, 104, 1696–1702. [Google Scholar] [CrossRef] [Green Version]
  71. Øgard, C.G.; Engelmann, M.D.; Kistorp, C.; Nielsen, S.L.; Vestergaard, H. Increased plasma N-terminal pro-B-type natriuretic peptide and markers of inflammation related to atherosclerosis in patients with primary hyperparathyroidism. Clin. Endocrinol. 2005, 63, 493–498. [Google Scholar] [CrossRef]
  72. Young, S.N. Has the time come for clinical trials on the antidepressant effect of vitamin D? J. Psychiatry Neurosci. 2009, 34, 3. [Google Scholar] [PubMed]
  73. Johnson, M.A.; Kimlin, M.G. Vitamin D, aging, and the 2005 Dietary Guidelines for Americans. Nutr. Rev. 2006, 64, 410–421. [Google Scholar] [CrossRef]
  74. Milaneschi, Y.; Shardell, M.; Corsi, A.M.; Vazzana, R.; Bandinelli, S.; Guralnik, J.M.; Ferrucci, L. Serum 25-Hydroxyvitamin D and Depressive Symptoms in Older Women and Men. J. Clin. Endocrinol. Metab. 2010, 95, 3225–3233. [Google Scholar] [CrossRef] [Green Version]
  75. Gugger, A.; Marzel, A.; Orav, E.J.; Willett, W.C.; Dawson-Hughes, B.; Theiler, R.; Freystätter, G.; Egli, A.; Bischoff-Ferrari, H.A. Effect of Monthly High-Dose Vitamin D on Mental Health in Older Adults: Secondary Analysis of a RCT. J. Am. Geriatr. Soc. 2019, 67, 1211–1217. [Google Scholar] [CrossRef]
  76. Kjærgaard, M.; Waterloo, K.; Wang, C.E.A.; Almås, B.; Figenschau, Y.; Hutchinson, M.S.; Svartberg, J.; Jorde, R. Effect of vitamin D supplement on depression scores in people with low levels of serum 25-hydroxyvitamin D: Nested case—Control study and randomised clinical trial. Br. J. Psychiatry 2012, 201, 360–368. [Google Scholar] [CrossRef] [Green Version]
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Figure 1. Consort diagram of the cross-sectional study.
Figure 1. Consort diagram of the cross-sectional study.
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Figure 2. Multivariate association between GDS-15 and 25(OH)D.
Figure 2. Multivariate association between GDS-15 and 25(OH)D.
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Table
Table 1. Social demographic factors associated with symptoms of depression (GDS-15) among the study participants.
Table 1. Social demographic factors associated with symptoms of depression (GDS-15) among the study participants.
[ALL]NormalMildModerateSeverep-Value
Variablesn = 237n = 34n = 100n = 100n = 3
Age, mean (SD), year 71.4 (4.94)70.3 (4.12)71.3 (4.58)71.9 (5.46)69.5 (6.36)0.158
Gender n % 0.003
      Female128 (54.0%)16 (47.1%)43 (43.0%)66 (66.0%)3 (100%)0.001
      Male109 (46.0%)18 (52.9%)57 (57.0%)34 (34.0%)0 (0.00%)0.001
Marital status, n % 0.042
      Divorced8 (3.38%)2 (5.88%)1 (1.00%)5 (5.00%)0 (0.00%)0.072
      Married173 (73.0%)26 (76.5%)81 (81.0%)65 (65.0%)1 (33.3%)<0.001
      Single4 (1.69%)0 (0.00%)1 (1.00%)3 (3.00%)0 (0.00%)0.112
      Widowed52 (21.9%)6 (17.6%)17 (17.0%)27 (27.0%)2 (66.7%)<0.001
Income per month, n (%) 0.012
      500–1000 K.D104 (44.6%) 9 (26.5%)39 (40.2%)53 (53.5%)3 (100%)<0.000
      1001–1500 K.D59 (25.3%)14 (41.2%)24 (24.7%)21 (21.2%)0 (0.00%)<0.000
      1501–2000 K.D39 (16.7%)5 (14.7%)20 (20.6%)14 (14.1%)0 (0.00%)<0.000
      More than 2000 K.D31 (13.3%)6 (17.6%)14 (14.4%)11 (11.1%)0 (0.00%)<0.002
Education level, n (%) 0.071
      No formal education51 (21.5%)9 (26.5%)15 (15.0%)26 (26.0%)1 (33.3%)0.001
      Completed primary/intermediate school36 (15.2%)1 (2.94%)23 (23.0%)11 (11.0%)1 (33.3%)0.001
      Completed secondary school55 (23.2%)7 (20.6%)22 (22.0%)25 (25.0%)1 (33.3%)0.004
      Completed Diploma43 (18.1%)7 (20.6%)16 (16.0%)20 (20.0%)0 (0.00%)0.050
      University degree or above52 (21.9%)10 (29.4%)24 (24.0%)18 (18.0%)0 (0.00%)0.058
Type of housing, n (%) 0.170
      Rental flat3 (1.27%)0 (0.00%)1 (1.00%)2 (2.00%)0 (0.00%)NA
      Rental house2 (0.84%)0 (0.00%)0 (0.00%)2 (2.00%)0 (0.00%)NA
      Owned flat1 (0.42%)0 (0.00%)0 (0.00%)1 (1.00%)0 (0.00%)NA
      Owned house231 (97.5%)34 (100%)99 (99.0%)95 (95.0%)3 (100%)<0.001
Having children6.59 (3.07)6.50 (3.10)6.81 (2.98)6.33 (3.14)8.67 (3.51)0.757
Sleep duration (day/hours; mean (SD)6.41 (1.10)6.82 (1.10)6.52 (1.00)6.16 (1.15)6.50 (2.12)0.002
Smoking cigarettes (yes/no), n (%)17 (7.17%)2 (5.88%)7 (7.00%)8 (8.00%)0 (0.00%)0.772
Drinking alcohol (yes/no), n (%)4 (1.69%)0 (0.00%)2 (2.00%)2 (2.00%)0 (0.00%)0.585
Walking per minutes, mean (SD)3.16 (2.99)4.1 (2.90)3.6 (3.00)2.5 (3.10)0.00 (0.00)0.004
Physical activity n (%)108 (46.2%)9 (28.1%)37 (37.4%)59 (59.0%)3 (100%)<0.001
Vitamin D supplement (yes/no), n (%)100 (42.2%)28 (82.4%)43 (43.0%)29 (29.0%)0 (0.00%)<0.001
Calcium supplement (yes/no), n (%)7 (2.95%)2 (5.88%)3 (3.00%)2 (2.00%)0 (0.00%)0.261
Dietary intake of vitamin D (IU) *247 (261)307 (277)245 (242)233 (277)114 (76.0)0.157
Dietary intake of calcium (mg) *871 (565)1072 (564)919 (552)772 (564)404 (177)0.002
Sun Exposure1.27 (3.03)2.21 (2.85)1.42 (3.44)0.83 (2.62)0.00 (0.00)0.014
Continuous variables were expressed as mean ± standard deviation (SD); the categorical variables were expressed as number (n) and percentage. (GDS-15), Geriatric Depression Scale-15; KD; Kuwait dinar. * Dietary intake of vitamin D (IU/day per 1000 kcal). * Dietary intake of calcium (mg/day per 1000 kcal). NA = not applicable, due to a very small sample size.
Table
Table 2. Association between the Geriatric Depression symptom scale-15 (GDS-15), anthropometric measurements, and laboratory parameters.
Table 2. Association between the Geriatric Depression symptom scale-15 (GDS-15), anthropometric measurements, and laboratory parameters.
[ALL]NormalMildModerateSeverep-Value
Variablesn = 237n = 34n = 100n = 100n = 3
Systolic mm Hg; mean (SD)133 (12.2)131 (11.1)132 (11.7)135 (13.0)133 (15.3)0.361
Diastolic mm Hg; mean (SD)78.7 (11.6)80.2 (20.8)77.7 (6.62)79.2 (11.6)77.7(4.04)0.681
Serum 25-OH-D level (nmol/L), n (%) <0.001
        Deficiency < 50 nmol/L72 (30.4%)1 (2.94%)27 (27.0%)42 (42.0%)2 (66.7%)<0.001
        Insufficiency: 50–75 nmol/L78 (32.9%)3 (8.82%)37 (37.0%)37 (37.0%)1 (33.3%)<0.001
        Sufficiency ≥ 75 nmol/L87 (36.7%)30 (88.2%)36 (36.0%)21 (21.0%)0 (0.00%)0.140
Dyslipidemia 170 (71.7%)18 (52.9%)72 (72.0%)77 (77.0%)3 (100%)0.008
Hypertension165 (69.6%)21 (61.8%)66 (66.0%)76 (76.0%)2 (66.7%)0.084
Type 2 diabetes152 (64.1%)19 (55.9%)62 (62.0%)68 (68.0%)3 (100%)0.099
Cardiovascular disease54 (22.9%)4 (11.8%)22 (22.0%)26 (26.3%)2 (66.7%)0.037
Osteoporosis (OA)59 (24.9%)6 (17.6%)24 (24.0%)28 (28.0%)1 (33.3%)0.208
Pigmentary phototype: 0.107
        II3 (1.27%)0 (0.00%)3 (3.00%)0 (0.00%)0 (0.00%)NA
        III58 (24.5%)12 (35.3%)22 (22.0%)22 (22.0%)2 (66.7%)0.118
        IV154 (65.0%)22 (64.7%)65 (65.0%)66 (66.0%)1 (33.3%)<0.001
        V22 (9.28%)0 (0.00%)10 (10.0%)12 (12.0%)0 (0.00%)0.670
Seasonality, n (%) 0.338
        Summer/Fall82 (34.6%)11 (32.4%)30 (30.0%)41 (41.0%)0 (0.00%)<0.001
        Winter/Spring155 (65.4%)23 (67.6%)70 (70.0%)59 (59.0%)3 (100%)<0.001
Continuous variables were expressed as mean ± standard deviation (SD) and the categorical variables were expressed as number (n) and percentage. (GDS-15) Geriatric Depression Scale-15; Pigmentary Phototype: (II) fair, (III) fair to medium, (IV) medium, and (V) olive or dark. SBP, systolic blood pressure; DBP, diastolic blood pressure function. NA = not applicable due to a very small sample.
Table
Table 3. Association between the Geriatric Depression symptom scale-15 (GDS-15), anthropometric measurements, and laboratory parameters.
Table 3. Association between the Geriatric Depression symptom scale-15 (GDS-15), anthropometric measurements, and laboratory parameters.
VariablesNormalMildModerateSeverep-Value
n = 34n = 100n = 100n = 3
BMI (kg/m2), n (%) <0.001
        Normal weight
        Overweight
        Obese		8 (23.5%)
16 (47.1%)
10 (29.4%)		12 (12.2%)
43 (43.9%)
43 (43.9%)		42 (42.0%)
37 (37.0%)
21 (21.0%)		2 (66.7%)
1 (33.3%)
0 (0.00%)		<0.001
<0.01
<0.001
Waist–hip ratio WHR, n (%) <0.001
        Low
        Moderate
        High		10 (29.4%)
9 (26.5%)
15 (44.1%)		33 (33.0%)
16 (16.0%)
51 (51.0%)		26 (26.3%)
14 (14.1%)
59 (59.6%)		0 (0.00%)
1 (33.3%)
2 (66.7%)		<0.01
0.342
<0.001
Waist (cm) mean (SD)98.3 (26.0)103 (17.8)102 (16.8)101 (15.3)0.610
Hip (cm) mean (SD)102 (30.5)108 (15.2)109 (12.7)111 (9.83)0.064
25-OH-D nmol/L100 (31.7)71.2 (38.6)58.6 (30.1)49.0 (6.93)<0.001
ALP IU/L72.6 (22.8)71.0 (19.1)76.2 (29.0)102 (40.5)0.104
PO4 mmol/L1.13 (0.13)1.12 (0.17)1.12 (0.16)1.43 (0.29)0.013
Ca mmol/L2.30 (0.10)2.30 (0.11)2.31 (0.17)2.21 (0.07)0.600
PTH pmol/L5.55 (2.17)5.89 (2.45)6.19 (3.23)15.4 (18.6)<0.001
Cortisol (AM) nmol/L379 (159)384 (135)375 (143)252 (64.3)0.464
Glucose (F) mmol/L6.15 (1.55)6.74 (2.12)7.77 (8.66)12.6 (11.1)0.169
Insulin ulU/mL13.4 (6.62)16.2 (11.6)15.3 (10.7)10.2 (7.40)0.466
Continuous variables were expressed as mean ± standard deviation (SD). Abbreviations: 25-(OH)-D: total serum 25-hydroxyvitamin D; ALP: alkaline phosphatase; Ca: calcium; PTH: parathyroid hormone; PO4: phosphate; (%) BMI: body mass index, calculated as weight in kilograms divided by height in meters squared.
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Albolushi, T.; Bouhaimed, M.; Spencer, J. Lower Blood Vitamin D Levels Are Associated with Depressive Symptoms in a Population of Older Adults in Kuwait: A Cross-Sectional Study. Nutrients 2022, 14, 1548. https://doi.org/10.3390/nu14081548

AMA Style

Albolushi T, Bouhaimed M, Spencer J. Lower Blood Vitamin D Levels Are Associated with Depressive Symptoms in a Population of Older Adults in Kuwait: A Cross-Sectional Study. Nutrients. 2022; 14(8):1548. https://doi.org/10.3390/nu14081548

Chicago/Turabian Style

Albolushi, Thurayya, Manal Bouhaimed, and Jeremey Spencer. 2022. "Lower Blood Vitamin D Levels Are Associated with Depressive Symptoms in a Population of Older Adults in Kuwait: A Cross-Sectional Study" Nutrients 14, no. 8: 1548. https://doi.org/10.3390/nu14081548

APA Style

Albolushi, T., Bouhaimed, M., & Spencer, J. (2022). Lower Blood Vitamin D Levels Are Associated with Depressive Symptoms in a Population of Older Adults in Kuwait: A Cross-Sectional Study. Nutrients, 14(8), 1548. https://doi.org/10.3390/nu14081548

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