Association of health determinants and depressive symptoms with tooth loss in the Serbian adult population: A cross-sectional study

Background/Aim. Oral diseases appear to be the major risk factors for tooth loss, but social factors and other determinants could play an important role as well. The aim of this study was to determine whether the possible independent sociodemographic risk factors and depressive disorders could contribute to the tooth loss in the adult population of Serbia. Methods. This cross-sectional study analysed the 2013 National Health Survey results for the population of Serbia (without the data for Kosovo and Metohia population). The sample was selected to provide the statistically reliable estimates at the national level. Study included 13,519 adults of 20 years of age, or above. The mean age of participants was 49.9 years including 6,998 (51.8%) females and 6,518 (48.2%) males. The number of missing teeth was dependent variable while the independent variables were: gender, age, marital status, education, employment status, Wealth Index, smoking status, body mass index (BMI), milk and milk products intake, fruit intake excluding juices, vegetable and salad intake (excluding potato), and depression. To measure the current depression, the standardized and validated the Patient Health Questionnaire (PHQ)-8 score was used. Edentulism (complete or partial) was defined as a loss of natural teeth. In order to determine the predictors of tooth loss, the bivariate and multivariate logistic regression models were implemented for all types of tooth loss. Results. The significant differences were observed among the categories of edentulism in relation to independent variables except vegetable and salad intake. The prevalence of all missing teeth was highest in the females, the respondents with a low level of education, inactive, underweight (BMI < 18.5) and respondents with moderately severe depressive episodes (PHQ-8 score 15 to 19). In the multivariate model, we found that the demographic factors (age, living with a partner), socioeconomic factors (primary and secondary education, Wealth Index), smoking, BMI, the PHQ-8 score and the depressive symptoms were significantly associated with partial tooth loss. Conclusion. Study demonstrated that sociodemographic and lifestyle factors as well as the symptoms of depresssion are also important factors related to the tooth loss. This study can help to advance the need for health programs focusing on education, smoking cessation, dietary habits as well as regular visits to the dentist.

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The prevalence and risk factors for depressive symptoms in frontline nurses under COVID-19 pandemic based on a large cross-sectional study using the propensity score-matched method

BMC Psychiatry ◽

10.1186/s12888-021-03143-z ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Hongyan Wang ◽

Xiaoling Dai ◽

Zichuan Yao ◽

Xianqing Zhu ◽

Yunzhong Jiang ◽

...

Keyword(s):

Risk Factors ◽

Depressive Symptoms ◽

Sleep Quality ◽

Psychological Capital ◽

Cross Sectional Study ◽

Poor Sleep ◽

Sectional Study ◽

Poor Sleep Quality ◽

Related Factors ◽

Cross Sectional

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.

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Prevalence, risk factors, and health seeking behavior for knee osteoarthritis among adult population in rural Jammu – A Community based Cross Sectional Study

Journal of Family Medicine and Primary Care ◽

10.4103/jfmpc.jfmpc_643_20 ◽

2020 ◽

Vol 9 (10) ◽

pp. 5282

Author(s):

Bhavna Sahni ◽

Kiran Bala ◽

Shalli Bavoria ◽

Preeti Bhagat ◽

Sahil Langeh ◽

...

Keyword(s):

Risk Factors ◽

Knee Osteoarthritis ◽

Adult Population ◽

Cross Sectional Study ◽

Sectional Study ◽

Health Seeking ◽

Community Based ◽

Cross Sectional ◽

Health Seeking Behavior ◽

Seeking Behavior

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Patterns of multiple lifestyle risk factors and their link to mental health in the German adult population: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2018-022184 ◽

2018 ◽

Vol 8 (12) ◽

pp. e022184 ◽

Cited By ~ 4

Author(s):

Josefine Atzendorf ◽

Christian Apfelbacher ◽

Elena Gomes de Matos ◽

Ludwig Kraus ◽

Daniela Piontek

Keyword(s):

Mental Health ◽

Risk Factors ◽

Adult Population ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Lifestyle Risk Factors ◽

Unhealthy Diet ◽

Lifestyle Risk ◽

German Adult

ObjectivesLifestyle risk factors, such as drinking or unhealthy diet, can expotentiate detrimental health effects. Therefore, it is important to investigate multiple lifestyle risk factors instead of single ones. The study aims at: (1) identifying patterns of lifestyle risk factors within the adult general population in Germany and (2) examining associations between the extracted patterns and external factors.DesignCross-sectional study.SettingGeneral German adult population (aged 18–64 years).ParticipantsParticipants of the 2015 Epidemiological Survey of Substance Abuse (n=9204).Primary outcome measuresLifestyle risk factors (daily smoking, at-risk alcohol consumption, unhealthy diet, low physical activity, weekly use of pharmaceuticals, as well as consumption of cannabis and other illicit drugs).ResultsA latent class analysis was applied to identify patterns of lifestyle risk factors, and a multinomial logistic regression was carried out to examine associations between the extracted classes and external factors. A total of four classes were extracted which can be described as healthy lifestyle (58.5%), drinking lifestyle (24.4%), smoking lifestyle (15.4%) and a cumulate risk factors lifestyle (1.7%). Individuals who were male, at younger age and single as well as individuals with various mental health problems were more likely to show multiple lifestyle risk factors.ConclusionsHealthcare professionals should be aware of correlations between different lifestyle risk factors as well as between lifestyle risk groups and mental health. Health promotion strategies should further focus especially on younger and single men.

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Associations between different types and sources of dietary fibre intake and depressive symptoms in a general population of adults: a cross-sectional study

British Journal Of Nutrition ◽

10.1017/s0007114520003566 ◽

2020 ◽

pp. 1-10

Author(s):

Yang Xia ◽

Yashu Liu ◽

Shunming Zhang ◽

Qing Zhang ◽

Li Liu ◽

...

Keyword(s):

Depressive Symptoms ◽

Dietary Fibre ◽

Adult Population ◽

Depression Scale ◽

Cross Sectional Study ◽

Dietary Factors ◽

Sectional Study ◽

Cross Sectional ◽

General Adult Population ◽

Dietary Fibre Intake

Abstract This cross-sectional study aimed to examine the associations between dietary fibre (DF) intake and depressive symptoms in a general adult population in Tianjin, China. A total of 24 306 participants (mean age 41 years; range 18–91 years) were enrolled. DF intake was assessed using a validated self-administered FFQ. Depressive symptoms were assessed using the Self-Rating Depression Scale. Associations between DF intake and depressive symptoms were estimated using logistic regression analysis. Socio-demographic, behavioural, health status and dietary factors were adjusted. In men, compared with participants in the lowest quartiles for total, soluble, vegetable and soya DF, OR for depressive symptoms in the highest were 0·83 (95 % CI 0·69, 0·99), 0·74 (95 % CI 0·63, 0·87), 0·79 (95 % CI 0·65, 0·96) and 0·69 (95 % CI 0·60, 0·81), respectively. In women, compared with participants in the lowest quartiles for vegetable and soya DF, the OR for depressive symptoms in the highest were 0·77 (95 % CI 0·64, 0·93) and 0·82 (95 % CI 0·70, 0·95), respectively. No association was found between total or soluble DF intake and depressive symptoms in women. No association was found between insoluble, cereal, fruit or tuber DF intake and depressive symptoms in men and women. Linear associations between DF intake and depressive symptoms were only detected for soya DF (men, β = –0·148, P < 0·0001; women, β = –0·069, P = 0·04). Results suggest that intake of soluble, vegetable and soya DF was inversely associated with depressive symptoms. These results should be confirmed through prospective and interventional studies.

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