Age and Gender Differences in Trends and Impact of Depression on Quality of Life in the United States, 2008 to 2016

Anguzu, Ronald; Nagavally, Sneha; Dawson, Aprill Z.; Walker, Rebekah J.; Egede, Leonard E.

doi:10.1016/j.whi.2021.02.005

Cited by 11 publications

(8 citation statements)

References 47 publications

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“…Studies have demonstrated that women are at a higher risk of depression than men are, which is consistent with our results, which revealed more female patients with depression ( Table 1 ) [ 43 , 44 ]. The monoamine hypothesis of depression is indicated to indicate that depression is caused by the deficiency of pressure–induced monoamine neurotransmitters, including serotonin, norepinephrine, and dopamine in the synaptic cleft [ 39 ].…”

Section: Discussionsupporting

confidence: 93%

Association between Ultraviolet B Exposure Levels and Depression in Taiwanese Adults: A Nested Case–Control Study

Luo

Chen

Chiang

et al. 2022

IJERPH

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Depression is a common mental disorder that affects more than 264 million people worldwide. Anxiety, diabetes, Alzheimer’s disease, myocardial infarction, and cancer, among other disorders, are known to increase the risk of depression. Exposure to ultraviolet B (UVB) can cause human serotonin levels to increase. The vitamin D pathway is one mechanism through which ultraviolet light absorbed through the skin can affect mood; however, UVB exposure is known to increase the risk of cancer. In this study, we explored the effects of prolonged exposure to UVB on depression. Data were retrieved from the Taiwan National Health Insurance Research Database for 2008 to 2013. Each patient with depression was matched 1:4 with a comparison patient by sex and age (±5 years); thus, the study included 23,579 patients with depression and 94,316 healthy controls for comparison. The patients had been exposed to UVB for at least 1 year to observe the cumulative effect of UVB exposure. Based on the World Health Organization UV index, we divided the observation period data into five UV levels: low, moderate, high, very high, and extreme. A multivariate Poisson regression model was used to assess the risk of depression according to UVB exposure level, adjusting for sex, age, income, urbanization level, month, and comorbidities. The results revealed that the incidence rate ratio (IRR) for patients with depression was 0.889 for moderate levels (95% CI 0.835–0.947), 1.134 for high levels (95% CI: 1.022–1.260), 1.711 for very high levels (95% CI: 1.505–1.945), and 2.785 for extreme levels (95% CI: 2.439–3.180) when compared to low levels. Moderate levels of UVB lowered the risk of depression, while high levels of UVB gradually increased the risk. We propose that UVB at normal concentrations can effectively improve depression. However, exposure to high concentrations of UVB damage DNA results in physical diseases such as skin cancer, which increase the risk of depression.

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Section: Discussionsupporting

confidence: 93%

Association between Ultraviolet B Exposure Levels and Depression in Taiwanese Adults: A Nested Case–Control Study

Luo

Chen

Chiang

et al. 2022

IJERPH

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“…Altogether, these differences underline the need for separate assessment of multimorbidity according to gender. This is in line with recommendations regarding other health indicators such as mortality and life expectancy [ 18 ] or patient reported outcomes [ 19 ] and quality of life [ 20 ].…”

Section: Discussionsupporting

confidence: 83%

The epidemiology of multimorbidity in France: Variations by gender, age and socioeconomic factors, and implications for surveillance and prevention

Coste¹,

Valderas

Carcaillon‐Bentata³

2022

PLoS ONE

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Background Robust public health and health system response to the increasing burden of multimorbidity worldwide requires detailed epidemiological examination of its key sociodemographic and geographic determinants. We investigated the role of gender, age and socioeconomic and geographic factors on multimorbidity (i.e., having two or more conditions) in the adult population in France and examined implications for surveillance and prevention. Methods We used data from two large nationwide representative surveys with cross-sectional and longitudinal health and socio-demographic indicators, conducted in France between 2008 and 2014. Morbidity counts and frequent dyads/triads of conditions independently impacting mortality, activity limitations, and perceived health were investigated with regard to differences in gender, age, socioeconomic (education, occupation and income) and geography (size of the urban unit and region). Results The component conditions of multimorbidity varied with gender and age. Women experienced multimorbidity 23–31% more frequently and at a younger age (5–15 years earlier) than men. Multimorbidity increased with age while its associations with most health indicators weakened with it. Multimorbidity was strongly and independently associated with socioeconomic indicators, with a strong inverse dose-response relationship with education, but less consistently with geographic factors. Conclusions Multimorbidity has diverse and variable components and impacts across gender and age. It is strongly associated with socioeconomic factors, notably educational level, for which causality appears likely. Consideration of this diversity and variability, its common occurrence in dyads and triads, and its impact on health outcomes according to age and gender may contribute to efficient surveillance and support the identification of prevention strategies targeting middle-aged men and women.

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“…Monteiro et al (2021) reported that the domains of pain, general health, functional aspects, and emotional aspects of quality of life do not present significant values among groups of women with depression. Anguzu et al, (2021) reported that women with depression have lower scores in the physical and mental components, compared to those without depression of all ages. (Park & Kim, 2018)) also showed an association of mobility, usual activities, and pain QoL domains with signs/symptoms of depression, similar aspects to those reported in the present study, indicating that the scores of all QOL domains were associated with signs/symptoms of depression.…”

Section: Discussionmentioning

confidence: 99%

“…It is worth mentioning that depression influences physical and mental aspects and it is believed that women are more affected due to hormonal factors, the double working burden, and dissatisfaction with their appearance. In addition, studies have investigated the relationship between depression and quality of life in women and have shown that a less favorable quality of life is found when signs/symptoms of depression are present (Anguzu et al, 2021;Jesus et al, 2021;Okyay, 2012).…”

Section: Introductionmentioning

confidence: 99%

Association and comparison of signs/symptoms of depression with quality of life and anthropometric measures of university employees

Borges¹,

Venâncio

Silva³

et al. 2022

RSD

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Objective: To evaluate the signs/symptoms of depression in university employees and to verify the relationship of these variables with quality of life and anthropometric and body composition variables. Methods: In total, 103 female employees of a university were evaluated, with a mean age between 36 and 40 years. Signs/symptoms of depression were assessed using the Beck inventory, quality of life (QoL) with the health status questionnaire (SF-36V2), and body composition with skinfolds. The anthropometric measures evaluated were weight, waist circumference (WC), and hip circumference (HC) and the body mass index (BMI) and waist-hip ratio (WHR) were calculated. Results: When evaluating women with/without signs and symptoms of depression, the groups with depression had higher BMI (∆=1.93kg/m², p=0.019) and WHR (∆=0.03, p=0.030). In the pairwise comparison, the group with severe signs/symptoms had mean scores below 50% for all QoL domains, except for functional capacity (∆=26.94, p=0.007). All QoL domains were inversely related to signs/symptoms of depression. Conclusion: Women with signs and symptoms of depression present a higher BMI, a WHR above predicted values, and worse QoL compared to those without depression.

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Age and Gender Differences in Trends and Impact of Depression on Quality of Life in the United States, 2008 to 2016

Cited by 11 publications

References 47 publications

Association between Ultraviolet B Exposure Levels and Depression in Taiwanese Adults: A Nested Case–Control Study

Association between Ultraviolet B Exposure Levels and Depression in Taiwanese Adults: A Nested Case–Control Study

The epidemiology of multimorbidity in France: Variations by gender, age and socioeconomic factors, and implications for surveillance and prevention

Association and comparison of signs/symptoms of depression with quality of life and anthropometric measures of university employees

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