BACKGROUND: Hearing loss affects over 1.5 billion individuals globally, with significant implications for mental health. This study investigates the association between hearing aid use and mental health outcomes, by particularly focusing on depression and unmet mental health needs (UMHN), across a diverse international sample.
METHODS: Utilizing data from the third wave of the European Health Interview Survey (EHIS), this study involved 17,660 participants with hearing impairment from 28 countries. The study examined the association between hearing aid use and mental health outcomes, including the likelihood of moderate and severe depression and UMHN due to lack of contact with general practitioners (GPs) and mental health specialists. Logistic regression models, adjusted for socio-demographic characteristics, health risk behaviours, and other relevant variables, were employed. Inverse probability weights were used to mitigate potential selection bias.
RESULTS: Hearing aid usage was associated with significantly lower likelihoods of moderate depression (Odds Ratio [OR] = 0.58, 95%CI = [0.54, 0.63]) and severe depression (OR = 0.61, 95%CI = [0.55, 0.69]), compared to non-usage. Hearing aid usage was also associated with reduced UMHN due to lack of GP contact for moderate (OR = 0.82, 95%CI = [0.75, 0.89]) and severe depression (OR = 0.75, 95%CI = [0.59, 0.95]). The depression risk reductions were greater among females and higher-educated subgroups but lower in individuals aged ≥65 years. Income level and rurality also impacted UMHN due to the lack of GP contact. No associations were found between hearing aids and UMHN due to the lack of mental health specialist contact.
CONCLUSIONS: Hearing aid adoption showed protective associations against mood disorders and lowered unmet primary mental healthcare needs. Tailoring intervention strategies to vulnerable sociodemographic profiles could optimize mental health benefits among those with hearing loss. Integrating hearing health services within mental healthcare delivery frameworks is vital amidst the rising global burden.

BACKGROUND: Pursuant to studies, receiving the three key maternal health services (Antenatal Care, Skilled Delivery Service, and Postnatal Care) in a continuum could prevent 71% of global maternal deaths. Despite the Western African region being known for its high maternal death and poor access to maternal health services, there is a dearth of studies that delve into the spectrum of maternal health services uptake. Hence, this study aimed to assess the level and predictors of partial and adequate utilization of health services in a single analytical model using the most recent Demographic and Health Survey (DHS) data (2013-2021).
METHODS: This study was based on the appended women\'s (IR) file of twelve West African countries. STATA software version 16 was used to analyze a weighted sample of 89,504 women aged 15-49 years. A composite index of maternal health service utilization has been created by combining three key health services and categorizing them into \'no\', \'partial\', or \'adequate\' use. A multilevel multivariable multinomial logistic regression analysis was carried out to examine the effects of each predictor on the level of service utilization. The degree of association was reported using the adjusted relative risk ratio (aRRR) with a corresponding 95% confidence interval, and statistical significance was declared at p < 0.05.
RESULTS: 66.4% (95% CI: 64.9, 67.7) and 23.8% (95% CI: 23.3, 24.2) of women used maternal health services partially and adequately, respectively. Togo has the highest proportion of women getting adequate health care in the region, at 56.7%, while Nigeria has the lowest proportion, at 11%. Maternal education, residence, wealth index, parity, media exposure (to radio and television), enrolment in health insurance schemes, attitude towards wife beating, and autonomy in decision-making were identified as significant predictors of partial and adequate maternal health service uptake.
CONCLUSIONS: The uptake of adequate maternal health services in the region was found to be low. Stakeholders should plan for and implement interventions that increase women\'s autonomy. Program planners and healthcare providers should give due emphasis to those women with no formal education and from low-income families. The government and the private sectors need to collaborate to improve media access and increase public enrolment in health insurance schemes.

Since 1997, research on Gulf War illness (GWI) has predominantly used 3 case definitions-the original Research definition, the CDC definition, and modifications of the Kansas definition-but they have not been compared against an objective standard.
All 3 case definitions were measured in the U.S. Military Health Survey by a computer-assisted telephone interview in a random sample (n = 6,497) of the 1991 deployed U.S. military force. The interview asked whether participants had heard nerve agent alarms during the conflict. A random subsample (n = 1,698) provided DNA for genotyping the PON1 Q192R polymorphism.
The CDC and the Modified Kansas definition without exclusions were satisfied by 41.7% and 39.0% of the deployed force, respectively, and were highly overlapping. The Research definition, a subset of the others, was satisfied by 13.6%. The majority of veterans meeting CDC and Modified Kansas endorsed fewer and milder symptoms; whereas, those meeting Research endorsed more symptoms of greater severity. The group meeting Research was more highly enriched with the PON1 192R risk allele than those meeting CDC and Modified Kansas, and Research had twice the power to detect the previously described gene-environment interaction between hearing alarms and RR homozygosity (adjusted relative excess risk due to interaction [aRERI] = 7.69; 95% CI 2.71-19.13) than CDC (aRERI = 2.92; 95% CI 0.96-6.38) or Modified Kansas without exclusions (aRERI = 3.84; 95% CI 1.30-8.52) or with exclusions (aRERI = 3.42; 95% CI 1.20-7.56). The lower power of CDC and Modified Kansas relative to Research was due to greater false-positive disease misclassification from lower diagnostic specificity.
The original Research case definition had greater statistical power to detect a genetic predisposition to GWI. Its greater specificity favors its use in hypothesis-driven research; whereas, the greater sensitivity of the others favor their use in clinical screening for application of future diagnostic biomarkers and clinical care.

The wealth index is widely used as a proxy for a household\'s socioeconomic position (SEP) and living standard. This work constructs a wealth index for the Mopeia district in Mozambique using data collected in year 2021 under the BOHEMIA (Broad One Health Endectocide-based Malaria Intervention in Africa) project.
We evaluate the performance of three alternative approaches against the Demographic and Health Survey (DHS) method based wealth index: feature selection principal components analysis (PCA), sparse PCA and robust PCA. The internal coherence between four wealth indices is investigated through statistical testing. Validation and an evaluation of the stability of the wealth index are performed with additional household income data from the BOHEMIA Health Economics Survey and the 2018 Malaria Indicator Survey data in Mozambique.
The Spearman\'s rank correlation between wealth index ventiles from four methods is over 0.98, indicating a high consistency in results across methods. Wealth rankings and households\' income show a strong concordance with the area under the curve value of ~0.7 in the receiver operating characteristic analysis. The agreement between the alternative wealth indices and the DHS wealth index demonstrates the stability in rankings from the alternative methods.
This study creates a wealth index for Mopeia, Mozambique, and shows that DHS method based wealth index is an appropriate proxy for the SEP in low-income regions. However, this research recommends feature selection PCA over the DHS method since it uses fewer asset indicators and constructs a high-quality wealth index.

Surveys are a widely used research method in dentistry in different specialities. The study aimed to determine the quality of survey-based research reports published in dentistry journals from 2015 to 2019.
A cross-sectional descriptive research study was conducted. The report quality assessment was carried out through the SURGE guideline modified by Turk et al. Four journals indexed in the Web of Science were selected: BMC Oral Health, American Journal of Orthodontics and Dentofacial Orthopedics, Journal of Dental Education, and Journal of Applied Oral Science. The selection of articles was made using the PubMed database considering the following search words: questionnaire OR survey, two trained reviewers applied the guideline to the selected articles, and the controversies were solved by discussion and consensus.
A total of 881 articles were identified, of which 99 met the selection criteria and were included in the study. The best-reported items (n = 99) were four: the two that described the introduction of a study, the results reflecting and concerning the study objectives, and the review by an ethics committee. Five items were poorly reported: to declare the incentives to study participants (n = 93), three items on the description of statistical analyses (n = 99, 99, and 94), and information on how nonrespondents differed from respondents (n = 92).
There is a moderate quality of reporting of all aspects that should be considered in survey-based studies in dentistry journals. Poorly reported criteria were found mainly in the statistical analysis.

The All of Us Research Program collects data from multiple information sources, including health surveys, to build a national longitudinal research repository that researchers can use to advance precision medicine. Missing survey responses pose challenges to study conclusions. We describe missingness in All of Us baseline surveys.
We extracted survey responses between May 31, 2017, to September 30, 2020. Missing percentages for groups historically underrepresented in biomedical research were compared to represented groups. Associations of missing percentages with age, health literacy score, and survey completion date were evaluated. We used negative binomial regression to evaluate participant characteristics on the number of missed questions out of the total eligible questions for each participant.
The dataset analyzed contained data for 334,183 participants who submitted at least one baseline survey. Almost all (97.0%) of the participants completed all baseline surveys, and only 541 (0.2%) participants skipped all questions in at least one of the baseline surveys. The median skip rate was 5.0% of the questions, with an interquartile range (IQR) of 2.5% to 7.9%. Historically underrepresented groups were associated with higher missingness (incidence rate ratio (IRR) [95% CI]: 1.26 [1.25, 1.27] for Black/African American compared to White). Missing percentages were similar by survey completion date, participant age, and health literacy score. Skipping specific questions were associated with higher missingness (IRRs [95% CI]: 1.39 [1.38, 1.40] for skipping income, 1.92 [1.89, 1.95] for skipping education, 2.19 [2.09-2.30] for skipping sexual and gender questions).
Surveys in the All of Us Research Program will form an essential component of the data researchers can use to perform their analyses. Missingness was low in All of Us baseline surveys, but group differences exist. Additional statistical methods and careful analysis of surveys could help mitigate challenges to the validity of conclusions.

To highlight the prevalence of sleep problems and identify associated risk factors among a representative sample recruited from the general population of Hong Kong.
Participants included 12 022 individuals (aged 15 or above) who took part in the Population Health Survey 2014/15, a territory-wide survey conducted by the Department of Health of the Government of the Hong Kong Special Administrative Region.
Outcomes were the prevalence of (1) insufficient sleep (<6 hours sleep per day) and (2) any sleep disturbance (difficulty initiating sleep, intermittent awakenings, early awakening) ≥3 times per week in the past 30 days. Multivariable logistic regression identified associations between sleep problems and sociodemographic, clinical and lifestyle factors.
9.7% of respondents reported insufficient sleep and 10.5% reported sleep disturbances ≥3 times a week. Female gender, monthly household income <$12 250 (Hong Kong dollar), lower education level, mental health condition and physical health condition were significantly associated with both insufficient and disturbed sleep (all p<0.05). Unemployment, homemaker, insufficient physical activity, current/former smoking status and harmful alcohol consumption were associated with sleep disturbances only (all p<0.01).
Sleep problems are highly prevalent in Hong Kong. As such problems are associated with a range of health conditions, it is important to facilitate improvements in sleep. Our results show that harmful alcohol consumption, insufficient physical activity and current smoking are modifiable risk factors for sleep disturbances. Public health campaigns should focus on these risk factors in order to promote a healthy lifestyle and ultimately reduce sleep disturbances. Targeted interventions for high-risk groups may also be warranted, particularly for those with doctor-diagnosed physical and mental health conditions.

To assess the concurrent validity of a single question on medication use for depression in a general population survey.
Using data from 2015 to 2016 and 2017 to 2018 National Health and Nutrition Examination Survey, we compared responses to a single question on medication use for depression with responses to a detailed questionnaire confirmed by inspecting medication packages or pharmacy printouts.
There was a strong agreement (96.4%) between response to a single question about using medication for depression and responses to questions about using antidepressants or other psychiatric medications for depression on the detailed questionnaire. The single-question assessment had excellent sensitivity (93.8%) and specificity (96.7%), positive predictive value (71.5%), and kappa (0.79). Psychometric properties were mostly consistent across population subgroups.
Single-question assessments of medication use for depression have acceptable concurrent validity against more detailed assessments and provide an efficient method for assessing medication treatment of depression in population health surveys.

In 2018, the suicide rate in South Korea was the highest among the Organisation for Economic Co-operation and Development countries, and socioeconomic inequality has intensified. This study analyzes the impact relationship between suicidal impulses and economic inequality in South Korea. This study measures suicidal impulses thoughts National Health Survey Data and economic inequality based on the housing prices gap in the country. The primary analysis results were as follows: First, suicidal impulses were positively associated with the high index of housing price inequality; this correlation has become tight in recent years. Second, it was confirmed that the higher the income level, the higher the correlation between suicidal impulses with the index of housing price inequality. Third, the correlation between housing price inequality with suicidal impulse increased consistently in highly urbanized areas, but the statistical significance was low in non-urban areas.

BACKGROUND: Although only about a third of South African (SA) adults indicate that they consume alcohol, heavy drinking is common. As a result, society carries large alcohol-related mortality and economic burdens.
OBJECTIVE: To investigate the feasibility of a minimum unit price (MUP) on alcohol, aimed at reducing the prevalence of heavy drinking.
METHODS: The study calculates unit values, defined as total monthly alcohol expenditure per household, divided by the household\'s total monthly alcohol consumption, for four categories of drinking households (moderate, intermediate, occasional heavy and regular heavy), using wave 4 data (2015) from the National Income Dynamics Study. A cumulative distribution of the unit values is derived for each of the four categories of drinking households. A number of hypothetical MUPs are imposed, and the impact of these MUPs on the consumption of the different categories of drinking households is estimated, taking cognisance of the fact that these households respond differently to price changes. Moderately drinking households tend to be more price sensitive than regular heavy-drinking households.
RESULTS: Occasional and regular heavy-drinking households comprise a quarter of all households (and half of all drinking households) in SA, but consume 84% of all alcohol consumed in the country. There are large differences in the calculated average price of alcohol between different categories of drinking households, ranging from ZAR12.00 per standard drink among moderately drinking households to ZAR1.53 per standard drink among regular heavy-drinking households. An MUP of ZAR3.00 (alternatively ZAR10.00) per standard drink is estimated to reduce alcohol consumption by 11.9% (21.8%) among regular heavy-drinking households, by 3.1% (11.6%) among occasional heavy-drinking households, by 2.3% (15.9%) among intermediate-drinking households and by 0.3% (6.1%) among moderately drinking households.
CONCLUSIONS: An MUP on alcohol is not a silver bullet, but could have a significant impact on reducing the consumption of alcohol among regular heavy-drinking households, and to a lesser extent among occasional heavy-drinking and intermediate-drinking households. The government should strongly consider implementing such a policy.