Building a Foundation for Family Health Measurement in National Surveys: A Modified Delphi Expert Process

Structure of family health and its association with obesity-related eating behavior and depressive symptoms: Insights from network analysis

The health of families is inextricably linked to the health of individuals and communities, providing the foundation for their development. Family health is a multifaceted concept and has been suggested to impact individuals' obesity-related eating behavior and the alleviation of depressive symptoms. However, existing studies have not comprehensively examined the structure of family health and its' potential associations with obesity-related eating behavior and depressive symptoms. The present study employed network analysis to ascertain the most pivotal characteristics within the interdisciplinary and holistic concept of family health. In addition, this study investigated the moderating effect of family health on the association between obesity-related eating behavior and depressive symptoms, and identified the characteristics of family health that were the most strongly linked to the association. A total of 9091 adults participated in this nationally representative study between 10 July and September 15, 2021. The participants completed self-report assessments of family health, obesity-related eating behavior, and depressive symptoms. The results of network analysis indicated that helping each other in seeking health care services when needed (such as making physician's appointments) had the highest node expected influence (1.154) within the network. The results of moderation analysis showed that family health significantly buffered the association between obesity-related eating behavior and depressive symptoms (B = -0.06, 95 % CI = -0.077, -0.042). Further investigation demonstrated that not trusting doctors and other health professionals in the family presented the strongest negative correlation (-0.125) with obesity-related eating behavior, and not having adequate housing in the family showed the strongest negative correlation (-0.069) with depressive symptoms. These findings provide further insight into the critical aspects of family health and its significant correlations with obesity-related eating behavior and depressive symptoms.

The Initial Creation of a Family Well-being Index Using the National Survey of Children's Health

OBJECTIVE

The well-being of families is critical for health, but a family well-being metric has not yet been developed for use in federal surveys, making it impossible to assess national trends in family well-being. The National Survey for Children's Health (NSCH) includes items relating to different dimensions of family well-being. The purpose of this study was to conduct exploratory research to create an index of family well-being using items from the NSCH to examine trends in family well-being among families with children in the United States.

METHODS

Using the 2016 and 2021 NSCH, we created an index of family well-being. We compared family well-being across families with children in different age groups and examined trends over time between 2016 and 2021. Finally, we examined correlations between family well-being and 6 child health outcomes (chronic headaches, diabetes, depression, anxiety, attention-deficit hyperactivity disorder (ADHD), and behavioral and conduct disorders).

RESULTS

The final family well-being index had 10 items/constructs. Children 0 to 5 years were more likely than older children to have caregivers whose responses met criteria for most family well-being items. Between 2016 and 2021, family health remained relatively steady, but there were significant changes in 6 of the 10 family well-being index items, with some items increasing and some decreasing in 2021 compared with 2016. Family well-being was modestly correlated with all 6 children's health outcomes.

CONCLUSION

By having a family well-being index in federal surveys, trends in family well-being can be examined over time. Changes in children's health can also be assessed relating to family well-being.

The mediating role of sleep quality in the relationship between family health and depression or anxiety under varying living status

BACKGROUND

Existing research has examined the link between family health and mental health outcomes like depression and anxiety, but the mechanisms are unclear. Sleep quality may play a mediating role, and the effects of family health on mental health can differ based on living arrangements, which influence experiences and social support. This study aimed to investigate the mediating role of sleep quality in the relationship between family health and depression or anxiety across diverse living statuses.

METHODS

This cross-sectional study was conducted from June to September 2023 in five regions of China, including Guangdong Province, Guangxi Province, Jiangsu Province, Sichuan Province, and Macao Special Administrative Region. Family health was assessed using the Short Form of the Family Health Scale, while sleep quality was measured using the Self-Rating Scale of Sleep. Depression and anxiety were evaluated using the Hospital Anxiety and Depression Scale. Mediation analysis was conducted to examine the mediating effect of sleep quality on the relationship between family health and mental health outcomes. Subgroup analyses were conducted to explore potential variations in the mediating role of sleep quality across different living status.

RESULTS

This study sample comprised 4918 participants, with a mean age of 30.1 years (SD = 12.6). The direct effect analysis demonstrated a significant negative correlation between family health and symptoms of depression (β = -0.216, p < 0.001) or anxiety (β = -0.199, p < 0.001). The mediation analysis results revealed that family health had a significant indirect effect on symptoms of depression (β = -0.040, p < 0.001) or anxiety (β = -0.050, p < 0.001) through sleep quality. Specifically, both the living with family group and the living in a shared accommodation group showed a significant mediation effect of sleep quality in the relationship between family health and mental health outcomes. However, the living alone group did not show a significant mediation role.

CONCLUSIONS

Sleep quality mediated the relationship between family health and symptoms of depression or anxiety, with significant effects in those living with family or in shared accommodations, but not those living alone. These findings underscore the importance of considering living status when examining mental health outcomes and developing interventions.

The impact of family climate on problematic internet use: Findings from one nationwide study in China

BACKGROUND

With the growing attention paid to problematic internet use (PIU), this study aims to i) explore the prevalence of PIU based on a nationally representative sample and ii) propose and validate the theoretical model that correlates family climate with PIU.

METHODS

One national cross-sectional study was conducted with probability sampling and stratified sampling. Overall, 21,854 sample were included and analyzed. Validated measures of family climate, loneliness, and PIU was distributed and collected from June 2022 to August 2022.

RESULTS

The overall prevalence of PIU in the sample population is approximately 30.86 %. The model findings showed that family communication and family health had indirect effects of -0.12 and - 0.05 on PIU by the mediating effects of loneliness. The indirect effect explained 80.0 % of the total effect of family communication on PIU and 38.5 % of family health on PIU, highlighting the dominance effects of path family communication and PIU via loneliness. Extended family type (-0.047, p = 0.050), low family income (income≤3000 group, -0.127, p < 0.001) were identified as protective factors against PIU, while not living with family members (0.034, p = 0.021) was identified as risk factors of PIU.

LIMITATIONS

The nature of cross-sectional data have the limitation of preventing examining the casual relationships of PIU and the loneliness and family climate, in which future longitudinal study design is needed.

CONCLUSIONS

The high prevalence of PIU should be given adequate attention. Optimizing the family climate or family atmosphere by improving positive communication skills, providing family support and family health external resources can be served as effective strategies for controlling PIU.

The influence of family health on self-efficacy in patients with chronic diseases: the mediating role of perceived social support and the moderating role of health literacy

BACKGROUND

Chronic diseases are a global health challenge, and therefore, more attention should be paid to improving self-efficacy in people with chronic diseases. This study examined the relationship between family health and self-efficacy, and explored the mediating role of perceived social support and the moderating role of health literacy. The aim is to enhance the self-efficacy of chronic patients by improving family health, social support, and health literacy, thereby improving their physical and mental state.

METHODS

A cross-sectional study based on psychological and behavioural factors was conducted, namely, the 2022 China Residents Survey, which included 5150 Chinese patients with chronic diseases. The General Self-Efficacy Scale-Short Form was used to assess self-efficacy, the Health Literacy Questionnaire-short form was used to assess health literacy, the Perceived Social Support Scale-Short Form was used to evaluate perceived social support, and the Chinese version of the Family Health Scale-Short Form was used to assess family health status.

RESULTS

Family health of patients with chronic diseases had a significant positive effect on self-efficacy. Perceived social support was identified as a partial mediator between family health and self-efficacy, accounting for 59.39% of the total effect. Health literacy moderated the impact of family health on perceived social support and self-efficacy.

CONCLUSIONS

Chronic diseases have become a global health challenge, and more attention should be paid to improving the self-efficacy of the chronically ill population. Our results not only facilitate the understanding of the relationship mechanisms between family health and self-efficacy in chronic patients but can also serve as a guide for healthcare workers and policymakers who wish to provide better care for patients.

The prevalence of suboptimal health status among Chinese secondary school students and its relationship with family health: the mediating role of perceived stress and problematic internet use

BACKGROUND

The health status of secondary school students has received widespread attention, and family plays an extremely important role in protecting and promoting their health. However, the relationship between family health and suboptimal health status (SHS) among secondary school students and its underlying mechanisms are unclear. This study aims to understand the prevalence of SHS among Chinese secondary school students and analyze the relationship between family health and SHS, and examine the mediating roles of perceived stress and problematic internet use.

METHODS

The 2,094 secondary school students (52.6% boys, 47.4% girls, Mage ± SD = 15.74 ± 1.78) of this study came from "2022 Psychology and Behavior Investigation of Chinese Residents, PBICR". The chi-square test and t-test were used to analyze the prevalence of SHS in secondary school students with different characteristics. The SPSS PROCESS macro software was used to explore the relationship between family health and SHS and the mediating effects of perceived stress and problematic internet use.

RESULTS

The prevalence of SHS among Chinese secondary school students was 40.7%, and older students, girls, non-only child, high school students, smokers, drinkers, and students living in the Northeast region of China had higher prevalence. Family health, SHS, perceived stress, and problematic internet use were significantly related (P < 0.001). Family health had a negative effect on SHS (β = -0.127, 95% CI: -0.173 to -0.080). At the same time, perceived stress mediated the relationship between family health and SHS (chain mediation model 1: β = -0.109, 95% CI: -0.133 to -0.087; chain mediation model 2: β = -0.098, 95% CI: -0.120 to -0.078) and problematic internet use also mediated their relationship (chain mediation model 1: β = -0.034, 95% CI: -0.056 to -0.014; chain mediation model 2: β = -0.077, 95% CI: -0.099 to -0.055). The chain mediating effect of perceived stress and problematic internet use was also found in this study and the chain path from family health to perceived stress to problematic internet use to SHS was superior (β = -0.043, 95% CI: -0.054 to -0.033).

CONCLUSIONS

Many secondary school students are experiencing SHS. Improving family health, such as strengthening parent-child communication and fostering positive parenting practice, is critical to improving their health. Helping secondary school students relieve perceived stress and reduce their problematic internet use is key to implementing family-oriented health interventions.

The impact of health literacy on health-promoting lifestyle among community residents: the chain-mediating role of family health and physical activity

Background

Adopting health-promoting lifestyle (HPL) is crucial for improving overall well-being and reducing the risk of chronic diseases. The relationship between health literacy (HL) and HPL among Chinese community residents is complex, with potential mediating factors yet to be fully understood. Family health and physical activity (PA) may play significant roles in this relationship. This study aims to construct a chain mediation model to explore whether family health and PA mediate the effects of HL on HPL in Chinese community residents.

Methods

Using the convenient sampling method, 1,072 Chinese community residents were selected for a cross-sectional study. All participants completed a self-report questionnaire that collected demographic information, as well as data from the Health Literacy Scale Short-Form (HLS-SF12), Family Health Scale Short-Form (FHS-SF), Physical Activity Rating Scale (PARS-3), and Health Promoting Lifestyle Profile-II Revise (HPLP-II R). Data were analyzed using SPSS 26.0, with mediation analysis performed using the SPSS PROCESS macro.

Results

There were significant pairwise correlations between HL, family health, PA, and HPL (p < 0.01). HL was directly linked to HPL (effect = 0.442; SE = 0.025; 95% CI: 0.392, 0.491). Additionally, three indirect pathways were identified: family health independently mediated 6.02% of the effect (effect = 0.032; SE = 0.010; 95% CI: 0.013, 0.051), PA also independently mediated 9.02% of the effect (effect = 0.048; SE = 0.010; 95% CI: 0.030, 0.068), and a combined chain mediation through both family health and PA accounted for 1.88% of the effect (effect = 0.010; SE = 0.003; 95% CI: 0.005, 0.017).

Conclusion

HL not only has a direct impact on promoting HPL but also influences it indirectly through the mediating roles of family health and PA. These insights elucidate the mechanisms by which HL affects HPL, providing valuable theoretical guidance for the development and implementation of effective strategies to encourage healthy lifestyle practices.

Sequential multiple mediating effect of loneliness and family health on physical frailty and willingness to age at home in older adults: a national survey in China

BACKGROUND

With the rapid ageing of the global population, the number of older adults with physical frailty has been gradually increasing, making ageing at home a key strategy for coping with this demographic change. The opinions of older adults regarding their willingness to age at home deserve to be considered respectfully. As a result, this study aimed to investigate willingness to age at home and any associated underlying mechanisms involving physical frailty among older Chinese adults.

METHODS

This study was a national cross-sectional survey. Stratified random and quota sampling were used before and after the individual level respectively. Willingness to age at home was compared between older adults with different characteristics using the Mann-Whitney U test and Kruskal-Wallis H test. A Spearman rank test was conducted to explore the correlations among physical frailty, loneliness, family health, and willingness to age at home. The path hypothesis that loneliness and family health influence the relationship between physical frailty and willingness to age at home among older adults was further tested through sequential multiple mediation analysis.

RESULTS

A total of 3,837 older adults were included in this study. They returned a median score of 78 in terms of willingness to age at home. Physical frailty (β = - 0.044, P < 0.01) and loneliness (β = - 0.070, P < 0.001) were negatively associated, and family health (β = 0.275, P < 0.001) was positively associated with a willingness to age at home among older Chinese adults. Loneliness and family health played sequential multiple mediating role (β = - 0.018, Boot SE = 0.002, 95% CI = [-0.022, - 0.014]) between physical frailty and willingness to age at home.

CONCLUSIONS

Reducing physical frailty in older adults, reducing their sense of loneliness, and enhancing their family health is essential, as it can increase their levels of confidence with regard to ageing at home.

Examination of the psychometric properties of the short and long forms of the Family Health Scale in Turkish culture

PURPOSE

A healthy family is very important for community health. This study was conducted to test the validity and reliability of the short and long forms of the Family Health Scale (FHS) in Turkish culture.

DESIGN AND METHODS

This is a cross-cultural adaptation and validation of instruments using a methodological approach. A total of 783 individuals aged between 18 and 65 from Turkey. The test-retest reliability analysis of FHS was performed with 64 participants after four weeks.

RESULTS

Confirmed that the long form of the FHS was four-dimensional and the short form was one-dimensional. The results of the confirmatory factor analysis showed that the long and short forms fit well with the data, and it was determined that all fit indices were within acceptable limits. The Cronbach alpha of the long form of the FHS was 0.911, the cronbach alphas of the four sub-dimensions ranged from 0.833 to 0.908, and short form was 0.872. The pearson correlation coefficient between the forms was 0.919 (p = 0.000).

CONCLUSIONS

The results of the study revealed that the FHS is a valid and reliable measurement tool that can be used specifically for Turkish society.

PRACTICE IMPLICATIONS

Nurses can use both forms of the FHS to examine family health and trends in family health in the population they serve. The FHS may be an important screening tool in health care settings and family intervention programs. Nurses can use FHS when providing health care so that children grow up in a healthy family.

The effect of family health on suboptimal health status: The parallel mediation role of sleep quality and health behaviour

Background

The prevalence of suboptimal health status has been increasing worldwide, posing a significant challenge to public health. Meanwhile, family health has been recognised as an important factor influencing individual health outcomes. However, the mechanisms through which family health affects suboptimal health status remain unclear. We aimed to investigate the parallel mediation role of sleep quality and health behaviour in the relationship between family health and suboptimal health status.

Methods

We conducted a cross-sectional online survey with a sample of adults >18 years old from four provinces in China. The survey questionnaires queried their demographic characteristics, family health, suboptimal health status, sleep quality, and health behaviour. We assessed family health by the Family Health Scale-Short Form and suboptimal health status using the Suboptimal Health Status Questionnaire. We employed structural equation modelling to analyse the data and test the proposed mediation model.

Results

we collected 4918 valid questionnaires. The mean age of the participants was 30.1 years (standard deviation = 12.5). The correlation analysis demonstrated a significant negative association between family health and suboptimal health status (r = -0.44; P < 0.001). The results of the parallel mediation analysis showed that family health had a significant indirect effect on suboptimal health status through both sleep quality (β = -0.350; P < 0.001) and health behaviour (β = -0.137; P < 0.001). The total indirect effect of family health on suboptimal health status through both sleep quality and health behaviour was also significant (β = -0.569, P < 0.001).

Conclusions

This study highlights the significance of family health as a predictor of suboptimal health status and suggests that sleep quality and health behaviour are parallel mediators in this relationship. By understanding the role of family health, sleep quality, and health behaviour, interventions can be targeted to improve overall health outcomes.

The association between smoking and family health with the mediation role of personality among Chinese people: nationwide cross-sectional study

BACKGROUND

There may be unexplored interactions between family health, personality, and smoking that could help provide new perspectives on tobacco control.

OBJECTIVE

To examine the relationship between the health of one's family and their smoking habits, as well as investigate the potential influence of personality on this relationship.

METHODS

For this cross-sectional investigation, a national survey conducted in China in 2022 recruited a total of 21,916 individuals. The Family Health Scale was utilized to assess the health of the family. The 10-item Big Five Inventory scale was utilized to assess the Big five personality traits. The relationship between big five personality, family health, and smoking were investigated using binary and linear logistic regression. The indirect effects mediated by Big five personality were analyzed using mediation analysis with Sobel tests, and the indirect effects were composited using the Karlson-Holm-Breen method.

RESULTS

The overall prevalence of smoking in the study population was 14.87%, 26.19% for males and 3.54% for females. Urban and rural smoking prevalence was 13.81% and 16.10% respectively. Binary logistic regression analysis revealed a significant negative relationship between smoking and family health (odds ratio 0.964, 95% CI 0.959, 0.970, P < 0.001) with covariates controlled. The Karlson-Holm-Breen composition facilitated the connection between extraversion (47.81%) and nervousness (52.19%).

CONCLUSIONS

Preventive interventions for smoking behavior should prioritize family health and the Big five personality as significant areas to focus on. According to this study, in addition to implementing various interventions for different personalities, family health should be strengthened to reduce smoking behavior.

Media Use Behavior Mediates the Association Between Family Health and Intention to Use Mobile Health Devices Among Older Adults: Cross-Sectional Study

BACKGROUND

With the advent of a new era for health and medical treatment, characterized by the integration of mobile technology, a significant digital divide has surfaced, particularly in the engagement of older individuals with mobile health (mHealth). The health of a family is intricately connected to the well-being of its members, and the use of media plays a crucial role in facilitating mHealth care. Therefore, it is important to examine the mediating role of media use behavior in the connection between the family health of older individuals and their inclination to use mHealth devices.

OBJECTIVE

This study aims to investigate the impact of family health and media use behavior on the intention of older individuals to use mHealth devices in China. The study aims to delve into the intricate dynamics to determine whether media use behavior serves as a mediator in the relationship between family health and the intention to use mHealth devices among older adults. The ultimate goal is to offer well-founded and practical recommendations to assist older individuals in overcoming the digital divide.

METHODS

The study used data from 3712 individuals aged 60 and above, sourced from the 2022 Psychology and Behavior Investigation of Chinese Residents study. Linear regression models were used to assess the relationships between family health, media use behavior, and the intention to use mHealth devices. To investigate the mediating role of media use behavior, we used the Sobel-Goodman Mediation Test. This analysis focused on the connection between 4 dimensions of family health and the intention to use mHealth devices.

RESULTS

A positive correlation was observed among family health, media use behavior, and the intention to use mHealth devices (r=0.077-0.178, P<.001). Notably, media use behavior was identified as a partial mediator in the relationship between the overall score of family health and the intention to use mHealth devices, as indicated by the Sobel test (z=5.451, P<.001). Subgroup analysis further indicated that a complete mediating effect was observed specifically between family health resources and the intention to use mHealth devices in older individuals with varying education levels.

CONCLUSIONS

The study revealed the significance of family health and media use behavior in motivating older adults to adopt mHealth devices. Media use behavior was identified as a mediator in the connection between family health and the intention to use mHealth devices, with more intricate dynamics observed among older adults with lower education levels. Going forward, the critical role of home health resources must be maximized, such as initiatives to develop digital education tailored for older adults and the creation of media products specifically designed for them. These measures aim to alleviate technological challenges associated with using media devices among older adults, ultimately bolstering their inclination to adopt mHealth devices.

[Cross-cultural adaptation and evidence of psychometric validity of the Family Health Scale for Brazilian Portuguese]

This study aimed to translate and cross-culturally adapt the Family Health Scale into Brazilian Portuguese and analyze evidence of its psychometric validity. The 32 items on family health were cross-culturally adapted, using the content validity index to calculate semantic, idiomatic, cultural, and conceptual characteristics of the scale and its items. A pre-test to identify evidence of validity was applied to 40 families. At another time, the instrument was applied to 354 families in a Brazilian northeastern city. The index of agreement between the raters ranged from 0.84 for the scale items to 0.98 for the total scale, according to Kendall's coefficient. According to Cronbach's alpha, evidence of psychometric validity is adequate. Most families had a moderate degree of health, according to the scale. Therefore, the Brazilian version of the Family Health Scale showed conceptual, semantic, cultural, and operational equivalence with the original items, along with satisfactory psychometric properties for use among the Brazilian population with effectiveness and safety.

Translation and Cross-Cultural Validation of the Danish Version of the Family Health Scale-Long Form: A Psychometric Study

OBJECTIVES

The Family Health Scale is a new instrument for evaluating family health. The instrument is reported as valid and reliable in investigating family health among different types of adult family members. This study aimed to translate the Family Health Scale into Danish and investigate its validity and reliability in families with a family member affected by chronic or serious illness.

DATA SOURCES

Translation was performed through forward and backward bilingual practice consisting of 10 steps. A cross-sectional study included 406 participants, of whom 94 also participated in a follow-up study within 3 weeks for the test-retest. Content validity was examined by conducting cognitive interviews with nine family members. Internal consistency reliability was assessed using Cronbach α. The test-retest reliability was evaluated using intraclass correlation coefficients. Model fit was assessed using confirmatory factor analysis.

CONCLUSION

The Family Health Scale demonstrated good content validity and a moderate model fit. Both Internal consistency reliability and test-retest reliability were satisfying. Cronbach α ranged from 0.73 to 0.89, while the intraclass correlation coefficient value was 0.88. The confirmatory factor analysis estimated a satisfying model fit, with an acceptable root-mean-square error of 0.076 and a moderate comparative fit index of 0.794.

IMPLICATION FOR NURSING PRACTICE

The Family Health Scale instrument has the potential to identify vulnerable families or families affected by chronic or serious illnesses, such as cancer. The assessment tool can consequently be used to target interventions to promote family health and improve the health of both the individual and his/her family.

The mediating effect of family health on the relationship between health literacy and mental health: A national cross-sectional survey in China

BACKGROUND

Mental health problems significantly affect people's well-being and result in a huge health burden. Health literacy and family health are critical to reducing people's mental health problems. However, limited studies have addressed their complex interaction. Thus, this study aims to elucidate the mediating effect of family health on the relationship between health literacy and mental health.

METHODS

A national cross-sectional study based on multistage random sampling was conducted from July 10 to Sep 15, 2021, in China. Information about the public's health literacy, family health, and the level of three common mental health problems (depression, anxiety, and stress) was collected. A structural equation model (SEM) was applied to explore the mediating effect of family health on the relationship between health literacy and mental health.

RESULTS

A total of 11,031 participants were investigated. Approximately 19.93 and 13.57% of participants experienced moderate or severe depressive and anxiety symptoms, respectively. The SEM showed that health literacy was directly associated with mental health, with higher health literacy resulting in lower levels of depression (coefficient: -0.018, p = .049), anxiety (coefficient: -0.040, p < .001), and stress (coefficient: -0.105, p < .001). In addition, family health played a significant mediating effect (p < .001) between health literacy and mental health, contributing to 47.5, 70.9, and 85.1% of the total effect of health literacy on personal stress, anxiety, and depression, respectively.

CONCLUSIONS

This study revealed that the improvement of health literacy is directly and indirectly associated with less likelihood of people's mental health problems via family health. Thus, future mental health interventions should be integrated and targeted both at individual level and the family level.

Scaling Family Voices and Engagement to Measure and Improve Systems Performance and Whole Child Health: Progress and Lessons from the Child and Adolescent Health Measurement Initiative

BACKGROUND

The 1997 legislation authorizing the United States Child Health Insurance Program sparked progress to measure and publicly report on children's healthcare services quality and system performance. To meet the moment, the national Child and Adolescent Health Measurement Initiative (CAHMI) public-private collaboration was launched to put families at the center of defining, measuring and using healthcare performance information to drive improved services quality and outcomes.

METHODS

Since 1996 the CAHMI followed an intentional path of collaborative action to (1) articulate shared goals for child health and advance a comprehensive, life-course and outcomes-based healthcare performance measurement and reporting framework; (2) collaborate with families, providers, payers and government agencies to specify, validate and support national, state and local use of dozens of framework aligned measures; (3) create novel public-facing digital data query, collection and reporting tools that liberate data findings for use by families, providers, advocates, policymakers, the media and researchers (Data Resource Center, Well Visit Planner); and (4) generate field building research and systems change agendas and frameworks (Prioritizing Possibilities, Engagement In Action) to catalyze prevention, flourishing and healing centered, trauma-informed, whole child and family engaged approaches, integrated systems and supportive financing and policies.

CONCLUSIONS

Lessons call for a restored, sustainable family and community engaged measurement infrastructure, public activation campaigns, and undeterred federal, state and systems leadership that implement policies to incentivize, resource, measure and remove barriers to integrated systems of care that scale family engagement to equitably promote whole child, youth and family well-being. Population health requires effective family engagement.

Odisha tribal family health survey: methods, tools, and protocols for a comprehensive health assessment survey

Tribal or indigenous communities have unique health behaviors, challenges, and inequities that nationally representative surveys cannot document. Odisha has one of India's largest and most diverse tribal populations, constituting more than a fifth of the state. State and tribe-specific health data generation is recommended in India's national roadmap of tribal health. The Odisha tribal family health survey (OTFHS) aims to describe and compare the health status of tribal communities in the state of Odisha and to estimate the prevalence of key maternal-child health indicators and chronic diseases. This paper summarizes the methodology, protocols, and tools used in this survey. This is a population-based cross-sectional survey with a multistage random sampling design in 13 (tribal sub-plan areas) districts of Odisha, India. We will include participants of all age groups and gender who belong to tribal communities. The sample size was calculated for each tribe and aggregated to 40,921, which will be collected from 10,230 households spread over 341 clusters. The survey data will be collected electronically in modules consisting of Village, Household, and Individual level questionnaires. The age-group-specific questionnaires were adapted from other national family health surveys with added constructs related to specific health issues of tribal communities, including-critical indicators related to infectious and non-communicable diseases, multimorbidity, nutrition, healthcare-seeking behavior, self-rated health, psycho-social status, maternal and child health and geriatric health. A battery of laboratory investigations will be conducted at the household level and the central laboratory. The tests include liver function tests, kidney function tests, lipid profile, iron profile, and seroprevalence of scrub typhus and hepatitis infections. The datasets from household questionnaires, field measurements and tests and laboratory reports will be connected using a common unique ID in the database management system (DBMS) built for this survey. Robust quality control measures have been built into each step of the survey. The study examines the data focused on different aspects of family health, including reproductive health, adolescent and child health, gender issues in the family, ageing, mental health, and other social problems in a family. Multistage random sampling has been used in the study to enable comparison between tribes. The anthropometric measurements and biochemical tests would help to identify the indicators of chronic diseases among various age groups of the population.

The Association Between Family Health and Frailty With the Mediation Role of Health Literacy and Health Behavior Among Older Adults in China: Nationwide Cross-Sectional Study

BACKGROUND

Family health develops from the intersection of the health of each family member and their interactions and capacities as well as the family's internal and external resources. Frailty is the most prominent and typical clinical manifestation during population aging. Family health may be effective in addressing frailty, and this association may be mediated by health literacy and health behaviors. Until now, it is unclear whether and how family health affects frailty in older adults.

OBJECTIVE

This study aimed to examine the associations between family health and frailty and the mediation roles of health literacy and health behaviors.

METHODS

A total of 3758 participants aged ≥60 years were recruited from a national survey conducted in 2022 in China for this cross-sectional study. Family health was measured using the Short Form of the Family Health Scale. Frailty was measured using the Fatigue, Resistance, Ambulation, Illnesses, and Loss of weight (FRAIL) scale. Potential mediators included health literacy and health behaviors (not smoking, not having alcohol intake, physical exercise for ≥150 minutes per week, longer sleep duration, and having breakfast every day). Ordered logistic regression was applied to explore the association between family health and frailty status. Mediation analysis based on Sobel tests was used to analyze the indirect effects mediated by health literacy and behaviors, and the Karlson-Holm-Breen method was used to composite the indirect effects.

RESULTS

Ordered logistic regression showed that family health is negatively associated with frailty (odds ratio 0.94, 95% CI 0.93-0.96) with covariates and potential mediators controlled. This association was mediated by health literacy (8.04%), not smoking (1.96%), longer sleep duration (5.74%), and having breakfast every day (10.98%) through the Karlson-Holm-Breen composition.

CONCLUSIONS

Family health can be an important intervention target that appears to be negatively linked to frailty in Chinese older adults. Improving family health can be effective in promoting healthier lifestyles; improving health literacy; and delaying, managing, and reversing frailty.

The multiple mediating effect of family health and perceived social support on depressive symptoms in older adults: A cross-sectional national survey in China

BACKGROUND

Depression harms older adults' physical health and quality of life, especially for those with disabilities. This study aims to investigate the epidemiological characteristics of depressive symptoms in older adults and influencing factors involving neuroticism in China.

METHODS

A multistage random sampling method was adopted to recruit older adults. We conducted a multiple mediating analysis to explore how overall family health and perceived social support affect the relationship between neuroticism and depressive symptoms in older adults.

RESULTS

A total of 1122 older adults were included in this study, and 529 individuals reported suffering from depressive symptoms (47.1 %). Mediation analysis results indicated that neuroticism had a direct predictive effect on depressive symptoms in older adults. Family health and perceived social support partly mediated the relationship between neuroticism and depressive symptoms in older adults. Moreover, depressive symptoms in older adults with high neuroticism was directly affected by decreasing family health and indirectly and cumulatively aggravated by the mediation of lower perceived social support.

LIMITATIONS

The cross-sectional study design limits the conclusion about causation and directionality.

CONCLUSIONS

Family health and perceived social support can prevent depressive symptoms in older adults with high neuroticism.

Factors Associated with Willingness toward Organ Donation in China: A Nationwide Cross-Sectional Analysis Using a Social–Ecological Framework

Improving public willingness toward organ donation is an important solution to the low organ donation rate. This study aimed to explore factors impacting public willingness for organ donation in China from a multi-agent perspective and further explore the impact of these factors on high or low willingness, using a social–ecological framework. Data from a total of 11,028 (effective rate, 94.18%) participants were analysed. Generalised linear model (GLM) and quantile regression were used to explore factors associated with willingness and high/low willingness toward organ donation, respectively. The mean willingness toward organ donation was 56.9 (range, 0–100) points. GLM regression revealed that age, family health, males, lower educational levels, and agricultural hukou were negatively associated with willingness. For personality, conscientiousness was negatively associated with willingness, whereas openness was positively associated with willingness. Health literacy perceived social support, and media utilisation were positively associated with willingness. Quantile regression further indicated that educational levels of college, bachelor, master’s, and PhD, openness, health literacy, perceived social support, and media utilisation were positively associated with organ donation willingness at all percentiles. It is necessary to adopt more targeted and diversified publicity, education, and guidance for different types of individuals. Meanwhile, social support needs to be strengthened. To enhance the willingness of the residents to donate organs, media publicity should be strengthened, particularly by using modern ways to improve their health literacy.

CROSS-CULTURAL ADAPTATION AND VALIDATION OF THE PERSIAN VERSION OF THE FAMILY FUNCTIONING, HEALTH, AND SOCIAL SUPPORT QUESTIONNAIRE IN A SAMPLE OF HEART FAILURE PATIENTS AND THEIR FAMILY MEMBERS

Background and Purpose: Family functioning, family health, and social support have significant roles in the management of heart failure (HF). This study aimed to translate, adapt, and assess the validity and reliability of the Persian version of the Family Functioning, Family Health, and Social Support (FAFHES) questionnaire. Methods: FAFHES questionnaire was translated into Persian, and an expert panel assessed the cross-cultural adaptation. We examined the construct validity by confirmatory factor analysis and internal consistency by Cronbach's alpha coefficients among 576 participants. Results: The Persian FAFHES confirmed the three-factor structure in the social support and the five-factor structure in the family health scales. However, the family functioning scale yielded the three-factor structure versus the four-factor structure in the original scales. The Cronbach's alpha for the three scales varied from 0.85 to 0.94. Conclusions: The adapted FAFHES seems to be valid and reliable to measure family functioning, family health, and social support in families with HF.

The effects of COVID-19 stressors and family life on anxiety and depression one-year into the COVID-19 pandemic

The purpose of this study was to examine the effects of Coronavirus (COVID-19)-related stressors and family health on adult anxiety and depressive symptoms 1 year into the pandemic. The sample consisted of 442 adults living in the United States who were recruited via Amazon Mechanical Turk. Data were analyzed using multiple logistic regression. Results indicated that compared to a sample 1 month into the pandemic, participants in the current sample reported worse family health and increases in both positive and negative perceptions of the pandemic on family life and routines. COVID-19 stressors and perceived negative effects of the pandemic on family life increased the odds for moderate-to-severe depression and anxiety while having more family health resources decreased the odds for depression and anxiety symptoms. Participants reported lower odds for worse depression and anxiety since the beginning of the pandemic when they reported more positive family meaning due to the pandemic. The results suggest a need to consider the impact of family life on mental health in pandemics and other disasters.

Influence of Social Media Uses and Gratifications on Family Health among U.S. Parents: A Cross-Sectional Study

Some research suggests that parents on social media have access to greater social support and health information. However, evidence also connects parental social media use to negative outcomes including increased parental stress, depression, and distraction. Using the uses and gratification theory, this study goes beyond measures of parents' individual mental health and explores social media use and its association with family well-being. Family health outcomes were predicted to vary with parents' use and gratifications of social media, with parents who use social media primarily for information and connection scoring higher on family health and parents who used social media for entertainment scoring worse on family health. The sample included 482 heterosexual married or cohabiting partners recruited through a Qualtrics panel. All participants were parents of children ages of 3-13, with mothers and fathers each completing the survey. Findings indicated that fathers' use of social media for entertainment and connecting with family and friends was associated with better family well-being and health resources (p < 0.01). However, mothers' use of social media did not have a statistically meaningful relationship with family health variables. There was no evidence that parental social media use was associated with negative family health outcomes. Longitudinal data is needed to determine the temporal relationship between social media use and family health. Public health professionals interested in improving family health may consider how to better reach fathers on social media to increase health resources.

Can smartphone use affect chronic disease self-management among Chinese middle-aged and older adults? A moderated mediation model

Introduction

Chronic disease self-management is influenced by many factors. Previous studies have linked patients' media use with chronic disease self-management, but the underlying mechanisms of this relationship are less understood.

Objectives

The purpose of this study is to explore the mediating role of family health (FH) between frequency of smartphone use (FOSU) and self-management behaviors among middle-aged and older patients with chronic diseases (SBAMAOPWCD) through a moderated mediation model, and whether this indirect relationship is modified by the solitary status of middle-aged and older Chinese patients with chronic disease.

Methods

Surveys were collected from 1,424 (N = 1,424; age > 45) middle-aged and older with one or more chronic conditions in China on self-reports of FOSU, FH and Chronic disease self-management behaviors were used to examine the moderated mediation model.

Results

The results showed that the FOSU was significantly and positively associated with SBAMAOPWCD (β = 0.220, p < 0.001; β = 0.170, p < 0.001; β = 0.167, p < 0.001; β = 0.158, p < 0.001); The Family health resources (FHR) dimension of FH and the Family external social supports (FESS) dimension mediated the relationship between the FOSU and SBAMAOPWCD (β = -0.0758, CI: -0.1402, -0.0236; β = 0.0721, CI: 0.0141, 0.1458), Among them, the FHR dimension mediated mainly among FOSU, exercise and cognitive symptom management practices (CSMP; β = -0.0344, CI: -0.0652, -0.0102; β = -0.0401, CI: -0.0725, -0.0138), the FESS dimension of the FH mediated the relationship between the FOSU and communication with physicians (CWP; β = 0.0376, CI: 0.0116, 0.0705); Solitary state played a moderating role in the relationship between FHR dimension and SBAMAOPWCD (live alone β = -0.2395, CI: -0.4574, -0.0661; not live-alone β = -0.0599, CI: -0.1164, -0.0172). In addition, solitary state played a moderating role in the relationship among FHR dimension and CSMP for middle-aged and older patients (live alone β = -0.1095, CI: -0.1961, -0.0378; not live-alone β = -0.0334, CI: -0.0633, -0.0102). Interestingly, the relationship between FESS dimension and SBAMAOPWCD was moderated only by the non-live alone population (β = 0.0676, CI: 0.0008, 0.1478), and not by the live-alone population (β = 0.1026, CI: -0.1061, 0.3278).Unexpectedly, we found that when their FHR were lower, they reported higher levels of chronic disease self-management, middle-aged and older patients with chronic diseases who live alone are more significant in this impact relationship.

Conclusions

The study further deepens our understanding of the mechanisms linking frequency of smartphone use with chronic disease self-management behaviors, and it helps to develop interventions to improve chronic disease self-management behaviors in middle-aged and older adults.

Reliability and validity of the Chinese version of a short form of the family health scale

Background

With the release of the Health China Action (2019–2030), family health is receiving increasing attention from experts and scholars. But at present, there is no family health scale in China that involves multidimensional and interdisciplinary commonality.

Aim

To translate a Short Form of the Family Health Scale (FHS-SF) and to test the reliability and validity of the Chinese version of the FHS-SF.

Method

A Short Form of the Family Health Scale was Chinese translated with the consent of the original author. A total of 8912 residents were surveyed in 120 cities across China using a multistage sampling method, with gender, ethnicity, and education level as quota variables. Seven hundred fifty participants were selected to participate in this study, and 44 participants were randomly selected to be retested 1 month later.

Results

The Cronbach’s alpha of the Chinese version of a Short Form the Family Health Scale was 0.83,the Cronbach’s alphas of the four subscales ranged from 0.70 to 0.90, the retest reliability of the scale was 0.75, the standardized factor loadings of the validation factor analysis were above 0.50, GFI = 0.98; NFI = 0.97; RFI = 0.95; RMSEA = 0.07, all within acceptable limits.

Conclusion

The Chinese version of a Short Form the Family Health Scale has good reliability and validity and can be used to assess the level of family health of Chinese residents.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-022-01702-1.

Identifying indicators of community participation-promoting efforts within coordinated specialty care: A modified e-Delphi study of stakeholder perspectives

AIM

Community participation in occupational, social, recreational, and other domains is critically important during young adulthood. Coordinated Specialty Care (CSC) programs provide developmentally tailored care to young adults experiencing early psychosis within the United States, but little is known about the breadth of efforts to promote community participation. This study aimed to develop and evaluate indicators of these efforts based on the perspectives of a national multi-stakeholder group.

METHODS

Seventeen stakeholders (i.e., young adults with early psychosis, family members, experts by profession) participated in a modified e-Delphi study, conducted in two rounds. The purpose of round one was to generate a comprehensive list of community participation-promoting indicators. During round two, stakeholders rated the importance and feasibility of the implementation of each indicator. Descriptive statistics and percentage of agreement regarding round two ratings were assessed.

RESULTS

During round one, 186 indicators of activities and/or practices designed to promote community participation were identified; this list was reduced to 44 by eliminating redundancies or indicators not related to community participation. In round two, we found broad agreement regarding the importance, but significant variation in perceived feasibility of indicators. The highest-rated indicators in both categories pertained to staff knowledge (regarding barriers and supports to participation and the importance of participation to health) and strategies for addressing participation barriers.

CONCLUSIONS

This study is expected to facilitate the identification and development of promising CSC activities and practices designed to promote community participation among young adults while potentially also enhancing engagement in services and improving clinical outcomes.

Developing a National Set of Health Equity Indicators Using a Consensus Building Process

BACKGROUND

Considerable health inequities documented in Israel between communities, populations and regions, undermine the rights of all citizens to optimal health. The first step towards health equity is agreement on a set of national indicators, reflecting equity in healthcare provision and health outcomes, and allowing monitoring of the impact of interventions on the reduction of disparities. We describe the process of reaching a consensus on a defined set of national equity indicators.

METHODS

The study was conducted between January 2019 and June 2020, in a multistage design: (A) Identifying appropriate and available inequity measures via interviews with stakeholders. (B) Agreement on the screening criteria (public health importance; gap characteristics; potential for change; public interest) and relative weighting. (C) Constructing the consultation framework as an online, 3-round Delphi technique, with a range of experts recruited from the health, welfare and education sectors.

RESULTS

Participants were of diverse age, gender, geographic location, religion and ethnicity, and came from academia, healthcare provision, government ministries and patient representative groups. Thirty measures of inequity, presented to participants, represented the following domains: Health promotion (11 indicators), acute and chronic morbidity (11), life expectancy and mortality (2), health infrastructures and affordability of care (4), education and employment (2). Of the 77 individuals contacted, 75 (97%) expressed willingness to participate, and 55 (73%) completed all three scoring rounds. The leading ten indicators were: Diabetes care, childhood obesity, adult obesity, distribution of healthcare personnel, fatal childhood injuries, cigarette smoking, infant mortality, ability to afford care, access to psychotherapy and distribution of hospital beds. Agreement among raters, measured as intra-class correlation coefficient (ICC), was 0.75.

CONCLUSION

A diverse range of consultants reached a consensus on the most important national equity indicators, including both clinical and system indicators. Results should be used to guide governmental decision-making and inter-sectoral strategies, furthering the pursuit of a more equitable healthcare system.

The relationship of family functioning and family health with hospital readmission in patients with heart failure: insights from an international cross-sectional study

BACKGROUND

The growing hospital readmission rate among patients with heart failure (HF) has imposed a substantial economic burden on healthcare systems. Therefore, it is essential to identify readmission associating factors to reduce hospital readmission.

AIMS

This study aimed to investigate the relationship of family functioning and family health with hospital readmission rates over six months in patients with HF and identify the sociodemographic and/or clinical variables associated with hospital readmission.

METHODS

This international multicentre cross-sectional study involved a sample of 692 patients with HF from three countries (Denmark 312, Iran 288, and Iceland 92) recruited from January 2015 to May 2020. The Family Functioning, Health, and Social Support questionnaire was used to collect the data. The number of patients' hospital readmissions during the six-month period was retrieved from patients' hospital records.

RESULTS

Of the total sample, 184 (26.6%) patients were readmitted during the six-month period. Of these, 111 (16%) had one readmission, 68 (9.9%) had two readmissions, and 5 (0.7%) had three readmissions. Family functioning, family health, being unemployed, and country of residence were significant factors associated with hospital readmission for the patients.

CONCLUSION

This study highlights the critical roles of family functioning and family health in six-month hospital readmission among patients with HF. Moreover, the strategy of healthcare systems in the management of HF is a key determinant that influences hospital readmission. Our findings may assist the investigation of potential strategies to reduce hospital readmission in patients with HF.

[Relation of smoking status to family health and personality traits in residents aged over 18 years in China]

OBJECTIVE

To explore the relation of smoking status to family health and personality traits in residents aged over 18 years in China by binary Logistic regression analysis, to identify the psychosocial factors that influence tobacco use, and to provide evidence to predict smoking susceptibility based on personality traits and prevent smoking at individual and family levels.

METHODS

Residents aged over 18 years in China were selected from "the Survey of Chinese Family Health Index (2021)". General characteristic questionnaire, short-form of family health scale, 10-item big five inventory were used to collect sociodemographic information, family health function and personality traits. And the relation of smoking status to family health and personality traits were analyzed by binary Logistic regression analysis.

RESULTS

Totally 10 315 adults were collected, of whom there were 2 171 smokers. The smoking rate was 21.05%, 41.76% of the residents were male, 3.69% female, 20.03% urban, 23.77% rural, 12.60% aged between 18 and 35 years, 27.11% aged between 36 and 59 years, 34.35% aged over 60 years, and the smoking rate varied in gender, location, age, education, marital status, family types, and average household monthly income (P < 0.05). Furthermore, the scores of family health, family social and emotional health processes, family healthy lifestyle, family health resources, family external social support, agreeableness, openness, and neuroticism among smokers were lower than those of the non-smokers (P < 0.05). The results of binary Logistic regression analysis showed that the residents over 35 years old, with low educational level and divorced were the risk factors to smoking (P < 0.05), while female, unmarried, nuclear family, high scores of family social and emotional health processes and family health resources, openness, neuroticism, and agreeableness were the protective factors to smoking (P < 0.05).

CONCLUSION

Besides gender, age, location, education, marital status, family types and average household monthly income, family health, and personality traits were also important factors influencing smoking status. Tobacco control based on personality traits and family health is essential, and more convincing research is necessary to determine the relation of tobacco use, tobacco dependence and smoking cessation to family health and personality traits.

The Association of COVID-19 Stressors and Family Health on Overeating before and during the COVID-19 Pandemic

Prior studies have examined how stress and the family environment affect overeating, but less is known about how COVID-19 stressors and family health may affect overeating during the COVID-19 pandemic. The research questions included: (1) Did COVID-19-related stressors increase the risk for overeating among adults in the United States? (2) Did family health protect against overeating during a pandemic? The sample included 443 participants aged 18 years and older living in the United States who were recruited via Amazon Mechanical Turk. Stata version 16 was used to analyze the data using multiple linear regression. The results indicate that one year into the pandemic, COVID-19 stressors were associated with increased overeating, even after adjusting for overeating before the pandemic. More family health resources were associated with less overeating. These results indicate that although COVID-19 stressors were associated with overeating, greater family health resources helped prevent overeating. Interventions and policies that aim to increase health resources for families may be particularly beneficial at preventing overeating and obesity in the face of long- and short-term stress.

Intergenerational Transmission of Trauma: The Mediating Effects of Family Health

Family health is important to the well-being of individual family members and the collective family unit, and as such, may serve as a mediator for the intergenerational transmission of trauma (ITT). This study aimed to understand the intergenerational impact of parent’s adverse and positive childhood experiences (ACEs and PCEs) on their children’s adverse family experiences (AFEs) and how family health mediated those relationships. The sample consisted of 482 heterosexual married or cohabiting couples (dyads) in the United States who had a child between the ages of 3 and 13 years old. Each member of the dyad completed a survey, and data were analyzed using structural equation modeling. Parental ACEs were associated with more AFEs. The fathers’, but not the mothers’, ACEs were associated with worse family health. Parental PCEs were associated with better family health, and family health was associated with lower AFE scores. Indirect effects indicated that parental PCEs decreased AFEs through their impact on family health. Family health also mediated the relationship between the father’s ACEs and the child’s AFEs. Interventions designed to support family health may help decrease child AFEs.

Family Health Development in Life Course Research: A Scoping Review of Family Functioning Measures

BACKGROUND AND OBJECTIVES

Our objective is to identify common family functioning measurement tools and assess their compatibility with family-health development and life-course perspectives.

METHODS

Data sources include PubMed, ERIC, CINAHL, Families and Societies Worldwide, PsychInfo, Web of Science, PsychNet, and Health and Psychosocial Instruments. Title and abstract screening and full-text review of articles were conducted by multiple reviewers based on prespecified inclusion criteria. Data extraction focused on features of identified measurements tools, including: (1) name (2) domains of family functioning measured, (3) established psychometric properties, and (4) original context of psychometric evaluation (eg, details about the study sample).

RESULTS

Of the 50 measurement tools identified, 94% measured organizational patterns (eg, flexibility, connectedness, or resources), 46% measured belief systems (eg, making meaning of adversity, or positive outlook), and 54% measured communication processes (eg, open emotional sharing, or collaborative problem-solving).

CONCLUSIONS

Existing measures of family functioning can aid life-course researchers in understanding family processes as contexts for health and well-being. There also remain opportunities to refine or develop measures of family functioning more compatible with a life-course perspective that assess family processes (1) at various life stages; (2) with various backgrounds, identities, structures, and experiences; and (3) embedded in or impacted by various contexts that may facilitate or hinder family functioning.

Family Health Development: A Theoretical Framework

In recognition of the family as central to health, the concept of family, rather than individual, health has been an important area of research and, increasingly, clinical practice. There is a need to leverage existing theories of family health to align with our evolving understanding of Life Course Health Development, including the opportunities and constraints of the family context for promoting lifelong individual and population health. The purpose of this article is to propose an integrative model of family health development within a Life Course Health Development lens to facilitate conceptualization, research, and clinical practice. This model provides an organizing heuristic model for understanding the dynamic interactions between family structures, processes, cognitions, and behaviors across development. Potential applications of this model are discussed.

Current status and influential factors for family health management during quarantine: A latent category analysis

OBJECTIVE

We aimed to explore factors affecting family health management during home quarantine as well as the effects of variations in family health management (FHM) on individuals' health status.

METHODS

Using stratified random sampling, 618 families in Wuhan as well as cities within its surrounding provinces were recruited and surveyed online. Latent class variables were extracted from four modules: disinfection, space layout, physical exercise, and food reserves. The analysis was conducted using the poLCA package in R software (v.4.1.0). Chi-squared tests, Fisher's exact tests, and non-parametric Kruskal-Wallis tests were used to compare groups as appropriate.

RESULTS

We found an overall questionnaire reliability of 0.77 and a total omega of 0.92, indicating that the survey results were credible. The Bayesian information criterion and Akaike information criterion were used to identified four latent class variables, namely latent non-family health management (18.9%) and latent low, medium, and advanced FHM (30.93%, 29.49%, and 20.59%, respectively). Gender, household income level, body mass index, the presence of a nearby community hospital, and self-rated health status showed statistically significant differences with respect to latent FHM. Moreover, we found a statistically significant difference in emotional reactions when comparing latent advanced and low to mid-level latent FHM. Compared with latent non-family health managers, we detected statistically significant differences in individual energy levels between potential family health managers at latent low and medium levels. Additionally, we found statistically significant differences in individual energy levels between latent advanced and low level family health managers.

CONCLUSIONS

We found that multiple factors, including gender, household income, and body mass index, were correlated with latent FHM during home quarantine. We conclude that FHM can meaningfully improve individuals' health. Thus, increasing social support for individuals can improve FHM as well as individuals' health during home quarantine.

Validation of the family health scale among heterosexual couples: a dyadic analysis

Background

The Family Health Scale (FHS) is a recently validated comprehensive measure of family health for use in survey research with the potential to also be used as a clinical measure. However, previous research has only validated the FHS among one member of the family rather than multiple family members. The objective of the study was to examine the psychometric properties of the FHS long- and short-form among married and cohabitating partners (dyads).

Method

The sample for this study was comprised of 482 married or cohabitating heterosexual couples (dyads) who were parents of a child between the ages of 3–13, heterosexual, and living in the United States. Each member of the dyad completed a survey about his or her perception of family health, personal health, childhood experiences, and demographic characteristics. Confirmatory factor analyses (CFA) were conducted to examine the factor structure. Unidimensional, correlational, and second-order factor structures were examined using responses from both partners. The relationships between family health with individual health and demographic covariates were also examined.

Results

Women and men reported their family health similarly. The unidimensional factor structure had the best fit for the FHS short-form while either the unidimensional model or the second-order model would be appropriate for the FHS long-form. Household income, individual member mental health, and childhood experiences were associated with family health in the expected direction.

Conclusion

The results demonstrate that the FHS is a valid and reliable family measure when examining family health among dyads including married and cohabitating heterosexual couples who have children.

Effects of positive and negative childhood experiences on adult family health

BACKGROUND

The objective of the study was to determine the association between adverse childhood experiences (ACEs) and positive childhood experiences (PCEs) with family health in adulthood. Prior research indicates that ACEs and PCEs affect individual physical and mental health in adulthood. However, little is known about how ACEs and PCEs affect family health. Families develop and function through patterns and routines which are often intergenerational. Therefore, a person's early experiences may influence their family's health in adulthood.

METHOD

A survey was administered to 1030 adults through Qualtrics, with participants recruited using quota-sampling to reflect the demographic characteristics of U.S. adults. Participants completed a survey about their childhood experiences, four domains of family health (family social and emotional health processes, family healthy lifestyle, family health resources, and family external social supports), and demographic characteristics. Data were analyzed using structural equation modeling.

RESULTS

After controlling for marriage, education, gender, race and age, ACEs were negatively associated with family social and emotional health processes and family health resources when accounting for PCEs; PCEs were positively associated with all four family health domains irrespective of ACEs.

CONCLUSION

Childhood experiences affect family health in adulthood in the expected direction. Even in the presence of early adversity, positive experiences in childhood can provide a foundation for creating better family health in adulthood.

Factors associated with family functioning in patients with heart failure and their family members: An international cross-sectional study

AIMS

To describe and compare family functioning, family health, and perceived social support from nurses and to identify the variables that are associated with family functioning in patients with heart failure (HF) and their family members in Denmark, Iran, and Iceland.

DESIGN

An international multi-centre cross-sectional study.

METHODS

A sample of 1382 participants (692 patients and 690 family members) from Denmark, Iceland, and Iran were included from January 2015 to May 2020. Data were collected using the Family Functioning, Health, and Social Support questionnaire.

RESULTS

The significant factors associated with family functioning in patients were country, New York Heart Association classification (NYHA), education level, age, family health, social support, and there was a significant interaction effect between NYHA class and gender. The significant factors associated with family functioning in family members were country, education level, work status, family health, and there was a significant interaction effect between education and work status.

CONCLUSION

This study indicated that the strongest factor associated with higher family functioning was family health for both patients and family members. Women in NYHA class I and younger patients and those with an academic education had a lower level of family functioning. Moreover, unemployed family members with an elementary education and family members with elementary and high school educations who were self-employed or employees had a lower level of family functioning.

IMPACT

This is the first international study to investigate family functioning, family health, and social support and adds to the literature on the factors associated with family functioning in patients with HF and their family members. Our findings may help nurses to identify the most vulnerable families living with HF, thereby being able to provide special support to enhance their family functioning to promote self-management strategies.

The Family Health Scale: Reliability and Validity of a Short- and Long-Form

Families strongly influence the health of communities and individuals across the life course, but no validated measure of family health exists. The absence of such a measure has limited the examination of family health trends and the intersection of family health with individual and community health. The purpose of this study was to examine the reliability and validity of the Family Health Scale (FHS), creating a multi-factor long-form and a uniform short-form. The primary sample included 1,050 adults recruited from a national quota sample Qualtrics panel. Mplus version 7 was used to analyze the data using a structural equation modeling framework. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) confirmed a 32-item, 4-factor long-form scale. The four factors included (1) family social and emotional health processes; (2) family healthy lifestyle; (3) family health resources; and (4) family external social supports. A 10-item short-form of the FHS was also validated in the initial sample and a second sample of 401 adults. Both the long-form and short-form FHS correlated in the expected direction with validated measures of family functioning and healthy lifestyle. A preliminary assessment of clinical cutoffs in the short-form were correlated with depression risk. The FHS offers the potential to assess family health trends and to develop accessible, de-identified databases on the well-being of families. Important next steps include validating the scale among multiple family members and collecting longitudinal data.

Families as a Cornerstone in 21st Century Public Health: Recommendations for Research, Education, Policy, and Practice

Families are vastly overlooked in US initiatives to promote population health and health equity despite being the most proximal context for health across the life course. We urge the public health sector to take the lead in recognizing families as essential for promoting 21st century population health. We highlight ways families influence health by providing context, care, continuity, and connections. The dual private and public aspect of families has contributed to how they have been overlooked in the public health sector. We provide recommendations for better integrating families into population health initiatives through national health goals, research, education, policy, and practice.