Changes of Health Outcomes, Healthy Behaviors, Generalized Trust, and Accessibility to Health Promotion Resources in Taiwan Before and During COVID-19 Pandemic: Comparing 2011 and 2021 Taiwan Social Change Survey (TSCS) Cohorts

Purpose The present study compared two nationally representative cohort datasets concerning Taiwan residents’ healthy behaviors, subjective health outcomes, generalized trust, and accessibility to health promotion resources. Patients and Methods The Taiwan Social Change Survey (TSCS) was conducted in two waves ten years apart: 2011 cohort (n = 1021; 48.4% males) and 2021 cohort (n = 1425; 47.4%) cohorts. Descriptive statistics were calculated to compare the two TSCS datasets. Then, multiple regression models were constructed with health outcome as the dependent variable, and demographics and other key components as independent variables. Results The 2011 TSCS cohort showed higher prevalence for cigarette smoking (30.8% vs 25.2%; p=0.002), alcohol drinking (52.5% vs 24.3%; p<0.001), exercise habits (52.7% vs 48.0%; p=0.02), and better fruit and vegetable accessibility (Mean=3.91 vs 3.82; p=0.04). The 2021 TSCS cohort reported higher body mass index (Mean=24.20 vs 23.63; p<0.001), less residency in urban areas (22.4% vs 31.1%; p<0.001), better jogging accessibility (4.14 vs 4.05; p=0.006), higher generalized trust (2.26 vs 2.17; p=0.001), and greater internet usage (3.43 vs 2.89; p<0.001). The regression model showed that exercise habits (standardized coefficient=0.20 and 0.10; p<0.001) and generalized trust (standardized coefficient=0.11 and 0.11; p=0.004 and <0.001) were consistently associated with health outcomes in both cohorts. Additionally, internet use (standardized coefficient=−0.07; p=0.026) and alcohol drinking behaviors (standardized coefficient=−0.07; p=0.0022) were negatively associated with health outcomes in the 2021 cohort. Conclusion The present study demonstrated the trends and changes over 10 years regarding multiple health-related components among Taiwan residents. The study’s findings provide insight into education promotion programs to reduce unhealthy behaviors as well as enhancing generalized trust building and developing healthy behaviors for Taiwan residents.

[1]  Chung-Ying Lin,et al.  Problematic Internet use (PIU) in youth: a brief literature review of selected topics , 2022, Current Opinion in Behavioral Sciences.

[2]  Chung-Ying Lin,et al.  Associations between vaccination and quality of life among Taiwan general population: A comparison between COVID-19 vaccines and flu vaccines , 2022, Human vaccines & immunotherapeutics.

[3]  Chung-Ying Lin,et al.  Evaluation of two weight stigma scales in Malaysian university students: weight self-stigma questionnaire and perceived weight stigma scale , 2022, Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity.

[4]  A. Pakpour,et al.  A longitudinal study of the effects of problematic smartphone use on social functioning among people with schizophrenia: Mediating roles for sleep quality and self-stigma , 2022, Journal of behavioral addictions.

[5]  A. Pakpour,et al.  Gender Differences in the Associations Between Physical Activity, Smartphone Use, and Weight Stigma , 2022, Frontiers in Public Health.

[6]  A. Pakpour,et al.  Fear of COVID-19 and its association with mental health-related factors: systematic review and meta-analysis , 2022, BJPsych Open.

[7]  M. Potenza,et al.  Effects of Weight-Related Self-Stigma and Smartphone Addiction on Female University Students’ Physical Activity Levels , 2022, International journal of environmental research and public health.

[8]  Chung-Ying Lin,et al.  The mediation effect of perceived weight stigma in association between weight status and eating disturbances among university students: is there any gender difference? , 2022, Journal of Eating Disorders.

[9]  Chung-Ying Lin,et al.  Community Outbreak Moderates the Association Between COVID-19-Related Behaviors and COVID-19 Fear Among Older People: A One-Year Longitudinal Study in Taiwan , 2021, Frontiers in Medicine.

[10]  B. Patel,et al.  Evaluation of perceived social stigma and burnout, among health-care workers working in covid-19 designated hospital of India: A cross-sectional study , 2021 .

[11]  F. Mohammadzadeh,et al.  Assessment of the anxiety level and trust in information resources among iranian health-care workers during the pandemic of coronavirus disease 2019 , 2021 .

[12]  Chung-Ying Lin,et al.  Relationships among Physical Activity, Health-Related Quality of Life, and Weight Stigma in Children in Hong Kong. , 2021, American Journal of Health Behavior.

[13]  A. Pakpour,et al.  Comparing Fear of COVID-19 and Preventive COVID-19 Infection Behaviors Between Iranian and Taiwanese Older People: Early Reaction May Be a Key , 2021, Frontiers in Public Health.

[14]  A. Pakpour,et al.  Sleep problems during COVID-19 pandemic and its’ association to psychological distress: A systematic review and meta-analysis , 2021, EClinicalMedicine.

[15]  A. Pakpour,et al.  Internet-Related Behaviors and Psychological Distress Among Schoolchildren During the COVID-19 School Hiatus , 2021, Cyberpsychology Behav. Soc. Netw..

[16]  M. Griffiths,et al.  Impact of COVID-19-related fear and anxiety on job attributes: A systematic review , 2021 .

[17]  N. Naphade,et al.  “Psychological consequences and coping strategies of patients undergoing treatment for COVID-19 at a tertiary care hospital”: A qualitative study , 2021 .

[18]  M. Potenza,et al.  The Relationship Between Children's Problematic Internet-related Behaviors and Psychological Distress During the Onset of the COVID-19 Pandemic: A Longitudinal Study , 2021, Journal of addiction medicine.

[19]  J. Ralston,et al.  Economic impacts of overweight and obesity: current and future estimates for eight countries , 2021, BMJ Global Health.

[20]  A. Pakpour,et al.  Problematic internet-related behaviors mediate the associations between levels of internet engagement and distress among schoolchildren during COVID-19 lockdown: A longitudinal structural equation modeling study , 2021, Journal of behavioral addictions.

[21]  A. Pakpour,et al.  Mediated roles of generalized trust and perceived social support in the effects of problematic social media use on mental health: A cross‐sectional study , 2020, Health Expectations.

[22]  M. Griffiths,et al.  Internet gaming as a coping method among schizophrenic patients facing psychological distress , 2020, Journal of behavioral addictions.

[23]  A. Pakpour,et al.  Comparing generalized and specific problematic smartphone/internet use: Longitudinal relationships between smartphone application-based addiction and social media addiction and psychological distress , 2020, Journal of behavioral addictions.

[24]  A. Pakpour,et al.  Psychometric Properties of the Persian Generalized Trust Scale: Confirmatory Factor Analysis and Rasch Models and Relationship with Quality of Life, Happiness, and Depression , 2020, International Journal of Mental Health and Addiction.

[25]  Chung-Ying Lin,et al.  Psychological distress and internet-related behaviors between schoolchildren with and without overweight during the COVID-19 outbreak , 2020, International Journal of Obesity.

[26]  A. Pakpour,et al.  Weight-related stigma and psychological distress: A systematic review and meta-analysis. , 2019, Clinical nutrition.

[27]  D. Sunjaya,et al.  Does your neighborhood protect you from being depressed? A study on social trust and depression in Indonesia , 2019, BMC Public Health.

[28]  A. Zajenkowska,et al.  General trust scale: Validation in cross-cultural settings , 2019, Current Psychology.

[29]  Chung-Ying Lin,et al.  Extended Theory of Planned Behavior on Eating and Physical Activity. , 2019, American journal of health behavior.

[30]  Chung-Ying Lin,et al.  Mediated effects of eating disturbances in the association of perceived weight stigma and emotional distress , 2019, Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity.

[31]  Ying-Wei Wang [Health Promotion Policies for All in Taiwan]. , 2018, Hu li za zhi The journal of nursing.

[32]  E. Dent,et al.  Issues of accessibility to health services by older Australians: a review , 2018, Public Health Reviews.

[33]  Chung-Ying Lin,et al.  Investigating the Self-Stigma and Quality of Life for Overweight/Obese Children in Hong Kong: a Preliminary Study , 2018, Child Indicators Research.

[34]  Yukihiro Sato,et al.  Generalized and particularized trust for health between urban and rural residents in Japan: A cohort study from the JAGES project. , 2018, Social science & medicine.

[35]  C. Keller,et al.  Prevalence and correlates of positive mental health in Chinese adolescents , 2018, BMC Public Health.

[36]  A. Pakpour,et al.  A cluster randomised controlled trial of an intervention based on the Health Action Process Approach for increasing fruit and vegetable consumption in Iranian adolescents , 2017, Psychology & health.

[37]  Chung-Ying Lin,et al.  Knowing is Half the Battle: the Association Between Leisure-Time Physical Activity and Quality of Life Among Four Groups with Different Self-Perceived Health Status in Taiwan , 2016, Applied Research in Quality of Life.

[38]  Sebastian Lundmark,et al.  Measuring Generalized Trust: An Examination of Question Wording and the Number of Scale Points. , 2016, Public opinion quarterly.

[39]  Mei-Ling Yeh,et al.  Lifestyle changes for treating psoriasis. , 2015, The Cochrane database of systematic reviews.

[40]  Li-Tzy Wu,et al.  Smoking cessation interventions for adults aged 50 or older: A systematic review and meta-analysis. , 2015, Drug and alcohol dependence.

[41]  R. Plotnikoff,et al.  Effectiveness of interventions targeting physical activity, nutrition and healthy weight for university and college students: a systematic review and meta-analysis , 2015, International Journal of Behavioral Nutrition and Physical Activity.

[42]  Gary L. Brase,et al.  Two Methods to Measure the Level of Trust of Americans and Japanese , 2014 .

[43]  A. Girling,et al.  Change in mental health after smoking cessation: systematic review and meta-analysis , 2014, BMJ : British Medical Journal.

[44]  U. Gerdtham,et al.  Alcohol Drinking Cessation and the Risk of Laryngeal and Pharyngeal Cancers: A Systematic Review and Meta-Analysis , 2013, PloS one.

[45]  W. Kaewpan,et al.  Health status and health promoting behaviors among aging workers in Thailand. , 2012, Journal of the Medical Association of Thailand = Chotmaihet thangphaet.

[46]  Alexandra A. Mislin,et al.  Trust games: A meta-analysis , 2011 .

[47]  S. Abbott,et al.  Social Capital and Health , 2008, Journal of health psychology.

[48]  D. Galuska,et al.  Weight management and fruit and vegetable intake among US high school students. , 2008, The Journal of school health.

[49]  I. Bohnet,et al.  Decomposing trust and trustworthiness , 2006 .

[50]  T. Yamagishi,et al.  Trust and commitment in the United States and Japan , 1994 .

[51]  Ya-Hui Yang,et al.  Factors Associated with Attempt for Smoking Cessation among Hardcore Smokers in Taiwan , 2021, Asian/Pacific Island nursing journal.

[52]  O. Akanni,et al.  The psychological impact of COVID-19 on health-care workers in African Countries: A systematic review , 2021, Asian Journal of Social Health and Behavior.

[53]  Neil M. Johannsen,et al.  The role of exercise and physical activity in weight loss and maintenance. , 2014, Progress in cardiovascular diseases.

[54]  J. Pesa,et al.  Fruit and vegetable intake and weight-control behaviors among US youth. , 2001, American journal of health behavior.