scholarly journals Development of a health literacy scale for preconception care: a study of the reproductive age population in Japan

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maiko Suto ◽  
Haruhiko Mitsunaga ◽  
Yuka Honda ◽  
Eri Maeda ◽  
Erika Ota ◽  
...  

Abstract Background Preconception care aims to improve both maternal and child health in the short as well as long term, along with providing health benefits to adolescents, women, and men, whether or not they plan to become parents. However, there is limited evidence regarding the effectiveness of interventions for improving preconception health in population-based settings. To accumulate evidence in this field, this study focused on the concept of health literacy, and aimed to develop a self-report health literacy scale in Japanese, focusing on preconception care. Methods We conducted a cross-sectional online survey. Participants were recruited from December 2019 to February 2020 from the registered members of a web-based research company. Participants were Japanese men and women aged 16–49 (n = 2000). A factor analysis was conducted to select both factors and items for health-related behavior and skills (33 initial items were generated), along with an item response theory analysis to examine how the 16 items were related to people’s knowledge of preconception care. Results We developed a 6-factor (including “appropriate medical examinations,” “appropriate diet,” “stress coping,” “healthy weight,” “safe living environment,” and “vaccinations”), 25-item behavior and skills scale, as well as a 13-item knowledge scale, to evaluate participants’ health literacy around preconception care. A shortened version, consisting of 17 items, was also prepared from the 25 items. The reliability coefficients of total scores and each factor of the behavior and skills scale were comparatively high, with weak-to-moderate correlation between behavior and skills and knowledge. Conclusions The new scale will, ideally, provide information on the current state of preconception care health literacy of the general population. In addition, this scale, which consists of both behavioral/skills and knowledge dimensions, should help support the effective implementation of risk assessment programs and interventions aimed at promoting behavioral changes using a population-based approach. Future studies using different question/administration formats for diverse populations, and considering respondents’ opinions on health literacy scales should be effective in improving this scale.

Author(s):  
Orkan Okan ◽  
Torsten Michael Bollweg ◽  
Eva-Maria Berens ◽  
Klaus Hurrelmann ◽  
Ullrich Bauer ◽  
...  

There is an “infodemic” associated with the COVID-19 pandemic—an overabundance of valid and invalid information. Health literacy is the ability to access, understand, appraise, and apply health information, making it crucial for navigating coronavirus and COVID-19 information environments. A cross-sectional representative study of participants ≥ 16 years in Germany was conducted using an online survey. A coronavirus-related health literacy measure was developed (HLS-COVID-Q22). Internal consistency was very high (α = 0.940; ρ = 0.891) and construct validity suggests a sufficient model fit, making HLS-COVID-Q22 a feasible tool for assessing coronavirus-related health literacy in population surveys. While 49.9% of our sample had sufficient levels of coronavirus-related health literacy, 50.1% had “problematic” (15.2%) or “inadequate” (34.9%) levels. Although the overall level of health literacy is high, a vast number of participants report difficulties dealing with coronavirus and COVID-19 information. The participants felt well informed about coronavirus, but 47.8% reported having difficulties judging whether they could trust media information on COVID-19. Confusion about coronavirus information was significantly higher among those who had lower health literacy. This calls for targeted public information campaigns and promotion of population-based health literacy for better navigation of information environments during the infodemic, identification of disinformation, and decision-making based on reliable and trustworthy information.


Author(s):  
Anne-Kathrin M. Loer ◽  
Olga M. Domanska ◽  
Christiane Stock ◽  
Susanne Jordan

Profound data on adolescent health literacy are needed as a requirement for the development of health literacy promoting interventions. This paper aims to study the level of generic health literacy among adolescents and to explore associations between health literacy and socio-demographic (age, sex, family affluence, migration background), social (social support by family and friends) and personal (self-efficacy) factors. We conducted a representative cross-sectional online survey. Four health literacy dimensions were captured among 14–17 years old adolescents living in Germany (n = 1235) with the “Measurement of Health Literacy Among Adolescents-Questionnaire” (MOHLAA-Q). Descriptive, bivariate and multiple logistic regression analyses were used to analyse the data (n = 1202). We found poor health literacy levels—to varying degrees—in all examined health literacy dimensions: dealing with health-related information (8.41% with many difficulties), health-related communication skills (28.13% with low skills), attitudes toward one’s own health and health information (8.81% with passive attitudes) and health-related knowledge (22.73% with low levels). We identified significant associations between poor health literacy levels and all factors studied except for age. Our results indicate a need for the implementation of evidence-based health literacy-related promoting interventions, preferentially in education and training institutions.


2020 ◽  
pp. 1-9
Author(s):  
Katie N. Sampson ◽  
Rachel Upthegrove ◽  
Ahmad Abu-Akel ◽  
Sayeed Haque ◽  
Stephen J. Wood ◽  
...  

Abstract Background There is increasing interest in the clinical and aetiological overlap between autism spectrum disorders and schizophrenia spectrum disorders, reported to co-occur at both diagnostic and trait levels. Individually, sub-clinical autistic and psychotic traits are associated with poor clinical outcomes, including increased depressive symptomatology, self-harming behaviour and suicidality. However, the implications when both traits co-occur remain poorly understood. The study aimed to (1) examine the relationship between autistic and psychotic traits and (2) determine if their co-occurrence increases depressive symptomatology, self-harm and suicidality. Methods Cross-sectional data from a self-selecting (online and poster advertising) sample of the adult UK population (n = 653) were collected using an online survey. Validated self-report measures were used to assess sub-clinical autistic and psychotic traits, depressive symptomatology, self-harming behaviour and suicidality. Correlation and regression analyses were performed. Results A positive correlation between sub-clinical autistic and positive psychotic traits was confirmed (rs = 0.509, p < 0.001). Overall, autistic traits and psychotic traits were, independently, significant predictors of depression, self-harm and suicidality. Intriguingly, however, depression was associated with a negative interaction between the autistic domain attention to detail and psychotic traits. Conclusions This study supports previous findings that sub-clinical autistic and psychotic traits are largely independently associated with depression, self-harm and suicidality, and is novel in finding that their combined presence has no additional effect on depression, self-harm or suicidality. These findings highlight the importance of considering both autistic and psychotic traits and their symptom domains in research and when developing population-based depression prevention and intervention strategies.


2018 ◽  
Vol 39 (2) ◽  
pp. 76-87 ◽  
Author(s):  
Buaphrao Raphiphatthana ◽  
Paul Jose ◽  
Karen Salmon

Abstract. Grit, that is, perseverance and passion for long-term goals, is a novel construct that has gained attention in recent years ( Duckworth, Peterson, Matthews, & Kelly, 2007 ). To date, little research has been performed with the goal of identifying the antecedents of grit. Thus, in order to fill this gap in the literature, self-report data were collected to examine whether mindfulness, a mindset of being-in-the-present in a nonjudgmental way, plays a role in fostering grittiness. Three hundred and forty-three undergraduate students completed an online survey once in a cross-sectional study, and of these, 74 students completed the survey again 4.5 months later. Although the cross-sectional analyses identified a number of positive associations between mindfulness and grit, the longitudinal analysis revealed that the mindfulness facets of acting with awareness and non-judging were the most important positive predictors of grit 4.5 months later. This set of findings offers implications for future grit interventions.


BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041755
Author(s):  
Srinivas Marmamula ◽  
Satya Brahmanandam Modepalli ◽  
Thirupathi Reddy Kumbham ◽  
Rajesh Challa ◽  
Jill E Keeffe

ObjectivesTo assess the prevalence of disabilities (vision, hearing, mobility, cognitive, self-care and communication) and non-communicable diseases (NCDs) among the elderly population in two districts in Telangana, India.DesignPopulation-based cross-sectional study using a cluster random sampling method to select the study clusters.SettingElderly population in Khammam and Warangal districts were recruited. Detailed interviews were conducted by trained community health workers. Personal and demographic information such as age, gender, level of education and a self-report of NCDs was collected. The Washington Disability Questionnaire was administered to assess the presence of disabilities.Participants1821 participants aged ≥60 years, 54.5% were women, and 73.3% had no education.Primary outcome measurePrevalence of disabilities and NCDs.ResultsOverall, the prevalence of at least disability was 20.3% (95% CI 16.3 to 24.9). The prevalence of self- reported disabilities were: seeing (5.9%; 95% CI 4.4 to 7.8), mobility (12.8%; 95% CI 9.7 to 16.8), hearing (3.6%; 95% CI 2.7 to 4.8), cognition (4.8%; 95% CI 3.5 to 6.7), self-care (3.3%; 95% CI 2.3 to 4.7) and communication (1.8%; 95% CI 1.2 to 2.6). Overall, the prevalence of at least one NCD was 34.2% (95% CI 30.9 to 37.7). Hypertension was the most common systemic condition (25.4%; 95% CI 22.4 to 28.7), followed by diabetes (9.0%; 95% CI 7.3 to 11.0), and body pains (muscle-skeletal) (9.9%; 95% CI 8.1 to 12.2).ConclusionEvery fifth elderly person in the districts of Khammam and Warangal in Telangana had at least one self-reported disability. Besides, a third of the elderly had at least one NCD. There is a definite need to develop comprehensive public health strategies to address disabilities and NCDs in Telangana.


Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 404
Author(s):  
Alejandro José Casanova-Rosado ◽  
Juan Fernando Casanova-Rosado ◽  
Mirna Minaya-Sánchez ◽  
José Luís Robles-Minaya ◽  
Juan Alejandro Casanova-Sarmiento ◽  
...  

Objective: To determine the association of edentulism with different chronic diseases and mental disorders in Mexicans aged 60 years and over. Material and Methods: A cross-sectional study was carried out using data from the World Health Survey for Mexico, in a probabilistic, multi-stage cluster sampling framework. Data for self-report of chronic diseases (diabetes, arthritis, angina pectoris and asthma), mental disorders (depression and schizophrenia) and edentulism were analyzed. Edentulism data were available for 20 of the 32 States of Mexico. Statistical analysis was performed in Stata 14.0 using the svy module for complex sampling (Complex nature under which individuals are sampled). Results: In total 4213 subjects were included, representing a population of 7,576,057 individuals. Mean age was 70.13 ± 7.82 years (range 60 to 98); 56.2% were women. Chronic diseases’ prevalence and mental disorders prevalence were as follows: diabetes 15.0% (N = 1,132,693); arthritis 13.2% (N = 1,001,667); depression 5.5% (N = 414,912); angina pectoris 4.5% (344,315); asthma 3.6% (N = 269,287); and schizophrenia 2.2% (N = 16,988). The prevalence of edentulism was 26.3%, which pertained to 1,993,463 people aged 60 years and over. Angina in women aged 60 to 69 years (p < 0.05) and depression in men aged 70 years and over (p < 0.0001) were associated with higher prevalence of edentulism. Conclusions: There was generally sparse association between edentulism on chronic diseases and mental disorders included in the study, except for women aged 60 to 69 years for angina, and in men aged 70 and over, for depression. Although our findings are misaligned with previous reports, longitudinal studies are required to test causal and temporal relationships between edentulism with chronic diseases and mental disorders.


2021 ◽  
Vol 19 (S1) ◽  
Author(s):  
Hannah Blencowe ◽  
◽  
Matteo Bottecchia ◽  
Doris Kwesiga ◽  
Joseph Akuze ◽  
...  

Abstract Background Household surveys remain important sources of stillbirth data, but omission and misclassification are common. Classifying adverse pregnancy outcomes as stillbirths requires accurate reporting of vital status at birth and gestational age or birthweight for every pregnancy. Further categorisation, e.g. by sex, or timing (intrapartum/antepartum) improves data to understand and prevent stillbirth. Methods We undertook a cross-sectional population-based survey of women of reproductive age in five health and demographic surveillance system sites in Bangladesh, Ethiopia, Ghana, Guinea-Bissau and Uganda (2017–2018). All women answered a full birth history with pregnancy loss questions (FBH+) or a full pregnancy history (FPH). A sub-sample across both groups were asked additional stillbirth questions. Questions were evaluated using descriptive measures. Using an interpretative paradigm and phenomenology methodology, focus group discussions with women exploring barriers to reporting birthweight for stillbirths were conducted. Thematic analysis was guided by an a priori codebook. Results Overall 69,176 women reported 98,483 livebirths (FBH+) and 102,873 pregnancies (FPH). Additional questions were asked for 1453 stillbirths, 1528 neonatal deaths and 12,620 surviving children born in the 5 years prior to the survey. Completeness was high (> 99%) for existing FBH+/FPH questions on signs of life at birth and gestational age (months). Discordant responses in signs of life at birth between different questions were common; nearly one-quarter classified as stillbirths on FBH+/FPH were reported born alive on additional questions. Availability of information on gestational age (weeks) (58.1%) and birthweight (13.2%) was low amongst stillbirths, and heaping was common. Most women (93.9%) were able to report the sex of their stillborn baby. Response completeness for stillbirth timing (18.3–95.1%) and estimated proportion intrapartum (15.6–90.0%) varied by question and site. Congenital malformations were reported in 3.1% stillbirths. Perceived value in weighing a stillborn baby varied and barriers to weighing at birth a nd knowing birthweight were common. Conclusions Improving stillbirth data in surveys will require investment in improving the measurement of vital status, gestational age and birthweight by healthcare providers, communication of these with women, and overcoming reporting barriers. Given the large burden and effect on families, improved data must be made available to end preventable stillbirths.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jiajing Jia ◽  
Ying Yang ◽  
Fangchao Liu ◽  
Minjin Zhang ◽  
Qin Xu ◽  
...  

Abstract Background Inconsistent results were found in the association between serum alanine aminotransferase (ALT) and hypertension among population-based studies. This study evaluated the association between ALT and hypertension among Chinese reproductive-age population by utilizing registration data from National Free Pre-pregnancy Checkups Project in 2016–2017. Methods The 21,103,790 registered participants were eligible for analysis, including women who were 20–49 years old and men who were 20–59 years old with available data for ALT and blood pressure (BP). Logistic regression was conducted to estimate odds ratio (OR) for the association between ALT and hypertension as a binary outcome. Linear regression was used to examine the association between ALT and BP as a continuous outcome. Results In total, 4.21% of the participants were hypertensive, and 11.67% had elevated ALT (> 40 U/L). Hypertension prevalence was 3.63% and 8.56% among participants with normal and elevated ALT levels. A strong linear relationship was found between serum ALT levels and the odds of hypertension after adjustment for potential confounders. The multivariable-adjusted ORs for hypertension were 1, 1.22 (1.21, 1.22), 1.67 (1.65 1.68), 1.78 (1.76, 1.80), and 1.92 (1.90, 1.94) in participants with ALT levels of ≤ 20, 20.01–40, 40.01–60, 60.01–80, and > 80 U/L, respectively. Systolic and diastolic BPs rose by 1.83 and 1.20 mmHg on average, for each 20 U/L increase in ALT (P for trend < 0.001). The association was consistent among subgroups and tended to be stronger among populations who are overweight (body mass index ≥ 24 kg/m2) (χ2 = 52,228, P < 0.001), alcohol drinking (χ2 = 100,730, P < 0.001) and cigarette smoking (χ2 = 105,347, P < 0.001). Conclusions Our cross-sectional analysis suggested a linear association between serum ALT and hypertension or BP, which indicated that abnormal liver metabolism marked by elevated serum ALT could play a role in hypertension or elevated BP condition.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wei Chen ◽  
Hongfu Ren ◽  
Na Wang ◽  
Yaqing Xiong ◽  
Fei Xu

Abstract Background To examine associations of socioeconomic position (SEP), separately indicated by education, monthly family average income (FAI) and occupation, with health literacy (HL) among adults in regional China. Methods A cross-sectional survey was conducted among urban and rural adults (aged 25–69 years) who were randomly selected, using the probability proportionate to size sampling approach, from Nanjing municipality of China during October and December of 2016. HL, the outcome variable, was assessed using the Chinese Resident Health Literacy Scale. SEP, our independent variable, was separately measured with educational attainment, monthly family average income and occupation. Logistic regression models were introduced to examine SEP-HL association with odds ratio (OR) and 95% confidence interval (CI). Results Totally, 8698 participants completed the survey. The proportion of participants with unweighted and weighted adequate HL was 18.0% (95%CI = 17.2, 18.8%) and 19.9% (95%CI = 16.6, 23.6%), respectively, in this study. After adjustment for possible confounding factors, each SEP indicator was in significantly positive relation to both unweighted and weight HL level. Participants who obtained 13+ and 10–12 years educational attainment, respectively, had 2.41 (95%CI = 1.60, 3.64) and 1.68 (95%CI = 1.23, 2.29) times odds to record weighted adequate HL compared to their counterparts who were with 0–9 years education. Subjects within upper (OR = 1.92, 95%CI = 1.24, 2.98) and middle FAI tertile (OR = 1.59, 95%CI = 1.19, 2.13), respectively, were more likely to report weighted adequate HL relative to those who were within lower FAI tertile. White collars were more likely to have weighted adequate HL (OR = 1.33, 95%CI = 1.09, 1.61) than blue collars. Conclusions Each of education, FAI and occupation was positively associated with health literacy among urban and rural adults in China. The findings have important implications that different SEP indicators can be used to identify vulnerable residents in population-based health literacy promotion campaigns.


2021 ◽  
Vol 19 (S1) ◽  
Author(s):  
Vladimir Sergeevich Gordeev ◽  
◽  
Joseph Akuze ◽  
Angela Baschieri ◽  
Sanne M. Thysen ◽  
...  

Abstract Background Paradata are (timestamped) records tracking the process of (electronic) data collection. We analysed paradata from a large household survey of questions capturing pregnancy outcomes to assess performance (timing and correction processes). We examined how paradata can be used to inform and improve questionnaire design and survey implementation in nationally representative household surveys, the major source for maternal and newborn health data worldwide. Methods The EN-INDEPTH cross-sectional population-based survey of women of reproductive age in five Health and Demographic Surveillance System sites (in Bangladesh, Guinea-Bissau, Ethiopia, Ghana, and Uganda) randomly compared two modules to capture pregnancy outcomes: full pregnancy history (FPH) and the standard DHS-7 full birth history (FBH+). We used paradata related to answers recorded on tablets using the Survey Solutions platform. We evaluated the difference in paradata entries between the two reproductive modules and assessed which question characteristics (type, nature, structure) affect answer correction rates, using regression analyses. We also proposed and tested a new classification of answer correction types. Results We analysed 3.6 million timestamped entries from 65,768 interviews. 83.7% of all interviews had at least one corrected answer to a question. Of 3.3 million analysed questions, 7.5% had at least one correction. Among corrected questions, the median number of corrections was one, regardless of question characteristics. We classified answer corrections into eight types (no correction, impulsive, flat (simple), zigzag, flat zigzag, missing after correction, missing after flat (zigzag) correction, missing/incomplete). 84.6% of all corrections were judged not to be problematic with a flat (simple) mistake correction. Question characteristics were important predictors of probability to make answer corrections, even after adjusting for respondent’s characteristics and location, with interviewer clustering accounted as a fixed effect. Answer correction patterns and types were similar between FPH and FBH+, as well as the overall response duration. Avoiding corrections has the potential to reduce interview duration and reproductive module completion by 0.4 min. Conclusions The use of questionnaire paradata has the potential to improve measurement and the resultant quality of electronic data. Identifying sections or specific questions with multiple corrections sheds light on typically hidden challenges in the survey’s content, process, and administration, allowing for earlier real-time intervention (e.g.,, questionnaire content revision or additional staff training). Given the size and complexity of paradata, additional time, data management, and programming skills are required to realise its potential.


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