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Completed

NCT Number: NCT06045403

Early-Warning Intervention for Heat and Cold in Older Hypertensive Patients: Impact on Sleep Quality

This cluster-randomized trial, conducted in Tianjin, China, aims to evaluate the effectiveness of integrating a digital health risk early warning tool for heat with self-monitoring. Additionally, the study assesses the effectiveness of combining a digital health risk early warning tool for cold with self-monitoring. Communities from three districts will be randomly assigned to one of three groups: the combined intervention group, the self-monitoring group, and the control group. The primary objective of the study is to evaluate the effectiveness of the intervention in improving sleep quality, as well as understanding its underlying biological mechanisms.

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Key information

Age range

60 year–65 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

National Institute of Environmental Health, Chinese Center for Disease Control and Prevention

Beijing, 100021, China

About this study

This cluster-randomized trial will be conducted in various districts across Tianjin, China. As part of the early warning interventions for heat waves and cold spells, three communities from each of the two selected districts will be randomly chosen and assigned to one of three groups: the combined intervention group, the self-monitoring group, or the control group. The study will be divided into pre-intervention and intervention phases. The pre-intervention period for the heat wave health early-warning information intervention spans from July 1st, 2023, to July 7th, 2023, followed by the intervention period from July 8th to September 9th, 2023. Similarly, during the cold spell health early-warning information intervention, the pre-intervention phase occurs from December 1st, 2023, to December 7th, 2023, and the intervention.

Participants in the combined intervention group will receive heat health risk warnings via digital tools, specifically a WeChat mini-program, providing real-time updates on early warnings and health advisories. Additionally, they will be instructed to perform daily self-monitoring of their blood pressure (BP) and electrocardiogram (ECG) using automated home devices. Participants in the self-monitoring alone group will engage in daily BP and ECG monitoring but not receive any health warnings. In contrast, the control group will monitor their BP and ECG only during baseline assessments and routine health check-ups (the day after the first heat wave in July and August 2023, as well as following the first cold spell in January and February 2024).

All participants will be required to record their daily time-activity patterns. During the baseline and subsequent check-ups, data will be collected on participants' demographics, medical history, lifestyle factors (e.g., diet, smoking, physical activity), environmental exposures, sleep quality, mental health status (including stress levels, emotional stability, and psychological resilience), medication adherence, cardiovascular and cerebrovascular symptoms, respiratory system symptoms, and perceptions of heatwaves and cold spells. In addition, blood, urine, and stool samples will be gathered for further analysis.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Individuals aged 60 to 65 years Individuals with a diagnosis of hypertension Individuals with untreated blood pressure above 140/90 mm Hg

Exclusion criteria

Having a history of coronary heart disease, heart failure, or stroke Unable to cooperate with follow-up

Treatment and study plan

Issuing health risk warning for a heat or cold

Behavioral

Whenever a health risk warning for a heat or cold is issued, only the elderly in the combined intervention group will be alerted to the early warning information through the digital heat or cold health risk early warning tool.

A digital heat or cold health risk early warning tool

Device

A WeChat mini-program provides real-time updates on early warnings and health advisories.

Perform daily self-monitoring of their BP and ECG

Behavioral

Participants in the self-monitoring alone group were instructed to self-measure their BP three times each morning (from 6:00 a.m. to 8:00 a.m.) and evening (from 6:00 p.m. to 8:00 p.m.) at home, and to self-administer ECG measurements twice during the same morning and evening timeframes.

Self-monitoring blood pressure and ECG device

Device

Devices for self-monitoring blood pressure and electrocardiography (ECG).

Primary outcomes

  1. Change from baseline in the PSQI score

    Time frame: baseline, six months

    The PSQI score is measured by the pittsburgh sleep quality index questionnaire. The PSQI consists of 19 individual items that assess seven key components of sleep: subjective sleep quality, sleep latency (the time it takes to fall asleep), sleep duration, habitual sleep efficiency (the ratio of total sleep time to time spent in bed), sleep disturbances, use of sleep medication, and daytime dysfunction.Each of the seven components is scored from 0 to 3, with the total PSQI score ranging from 0 to 21. A total score greater than 5 indicates poor sleep quality, while a lower score suggests good sleep quality.

Secondary outcomes

  1. Change from baseline in the control rate of blood pressure (SBP/DBP <140/90 mm Hg)

    Time frame: baseline, six months

    The blood pressure was measured by a self-monitored electronic sphygmomanometer (Model Maibobo, Shenzhen Yike Network Technology Co., Ltd., China). The proportion of participants achieving a systolic blood pressure (SBP) below 140 mm Hg and a diastolic blood pressure (DBP) below 90 mm Hg is calculated by dividing the number of participants who meet these criteria by the total number of participants at baseline and each routine health check-up.

  2. Change from baseline in the risk of the overall warning level for abnormal ECG.

    Time frame: baseline, six months

    Overall warning level for abnormal ECG is measured by a handheld electrocardiographic recorder, CarePatch (ECG-H01, Hangzhou Proton Technology Co., Ltd., China). This device is employed to assess and report on the presence of abnormal ECG states.

  3. Change from baseline in the control rate of blood pressure (SBP/DBP <120/80 mm Hg)

    Time frame: baseline, six months

    The blood pressure was measured by a self-monitored electronic sphygmomanometer (Model Maibobo, Shenzhen Yike Network Technology Co., Ltd., China). The proportion of participants achieving a systolic blood pressure (SBP) below 120 mm Hg and a diastolic blood pressure (DBP) below 80 mm Hg is calculated by dividing the number of participants who meet these criteria by the total number of participants at baseline and each routine health check-up.

  4. Change from baseline in SBP

    Time frame: baseline, six months

    The SBP is measured by a self-monitored electronic sphygmomanometer (Model Maibobo, Shenzhen Yike Network Technology Co., Ltd., China).

  5. Change from baseline in DBP

    Time frame: baseline, six months

    The DBP was measured by a self-monitored electronic sphygmomanometer (Model Maibobo, Shenzhen Yike Network Technology Co., Ltd., China).

  6. Change from baseline in left ventricular hypertrophy

    Time frame: baseline, six months

    The trained staff use a handheld electrocardiographic recorder, CarePatch (ECG-H01, Hangzhou Proton Technology Co., Ltd., China) to measure the participants' the change of left ventricular hypertrophy.

  7. Change from baseline in sinus arrhythmia

    Time frame: baseline, six months

    The trained staff use a handheld electrocardiographic recorder, CarePatch (ECG-H01, Hangzhou Proton Technology Co., Ltd., China) to measure the participants' the change of sinus arrhythmia.

  8. Change from baseline in right bundle branch block

    Time frame: baseline, six months

    The trained staff use a handheld electrocardiographic recorder, CarePatch (ECG-H01, Hangzhou Proton Technology Co., Ltd., China) to measure the participants' the change of right bundle branch block.

  9. Change from baseline in ventricular premature beats

    Time frame: baseline, six months

    The trained staff use a handheld electrocardiographic recorder, CarePatch (ECG-H01, Hangzhou Proton Technology Co., Ltd., China) to measure the participants' the change of ventricular premature beats.

  10. Change from baseline in atrial premature beats

    Time frame: baseline, six months

    The trained staff use a handheld electrocardiographic recorder, CarePatch (ECG-H01, Hangzhou Proton Technology Co., Ltd., China) to measure the participants' the change of atrial premature beats.

  11. Change from baseline in Q waves

    Time frame: baseline, six months

    The trained staff use a handheld electrocardiographic recorder, CarePatch (ECG-H01, Hangzhou Proton Technology Co., Ltd., China) to measure the participants' the change of Q waves.

  12. Change from baseline in T-wave changes

    Time frame: baseline, six months

    The trained staff use a handheld electrocardiographic recorder, CarePatch (ECG-H01, Hangzhou Proton Technology Co., Ltd., China) to measure the participants' the change of T-wave changes.

  13. Change from baseline in ST changes

    Time frame: baseline, six months

    The trained staff use a handheld electrocardiographic recorder, CarePatch (ECG-H01, Hangzhou Proton Technology Co., Ltd., China) to measure the participants' the change of ST changes.

  14. Change from baseline in the heat wave and cold spell perception score

    Time frame: baseline, six months

    The heat wave and cold spell perception score is measured by the heat wave and cold spell perception questionnaire. This questionnaire captures participants' perceptions of heatwave-related health risks and their level of preparedness. Respondents rate their responses on a continuous scale from 0 to 100, with 0 representing "not at all" or "very low" and 100 representing "very much" or "very high," allowing them to express the degree of their perception and concern.

  15. Change from baseline in the PHQ-9 score

    Time frame: baseline, six months

    The PHQ-9 score is measured by Patient Health Questionnaire-9. This questionnaire evaluates nine key symptoms of depression experienced over the past two weeks, including loss of interest or pleasure in activities, feeling down or hopeless, trouble sleeping, fatigue, poor appetite or overeating, feelings of worthlessness or failure, difficulty concentrating, physical agitation or slowing, and thoughts of self-harm or suicide. Each symptom is rated on a scale from 0 (not at all) to 3 (nearly every day), with total scores ranging from 0 to 27. Scores of 5, 10, 15, and 20 indicate mild, moderate, moderately severe, and severe depression, respectively.

  16. Change from baseline in the MMSE score

    Time frame: baseline, six months

    The MMSE score is measured by the mini-mental state examination. This examination evaluates five main areas: orientation (to time and place), memory (short-term and long-term), attention and calculation (concentration and basic arithmetic), language (fluency and comprehension), and executive function (complex task performance). Each area is scored on a scale from 0 to 5, with a total score ranging from 0 to 30. Typically, a score above 24 indicates normal cognitive function, while a score below 24 may suggest cognitive impairment.

  17. Change from baseline in the GAD-7 score

    Time frame: baseline, six months

    The GAD-7 score is measured by the generalized anxiety disorder scale. This scale evaluates seven key symptoms of anxiety: feeling nervous, anxious, or on edge; not being able to stop or control worrying; worrying too much about different things; trouble relaxing; being so restless that it is hard to sit still; becoming easily annoyed or irritable; and feeling afraid as if something awful might happen. Each symptom is rated on a scale from 0 (not at all) to 3 (nearly every day), resulting in a total score ranging from 0 to 21. A score of 5 or above indicates the presence of generalized anxiety disorder symptoms, with higher scores reflecting greater symptom severity.

  18. Change from baseline in the PSSS score

    Time frame: baseline, six months

    The PSSS score is measured by the perceived social support scale. This scale evaluates three key sources of support: family, friends, and significant others. It consists of 12 items, with four items each related to family, friends, and significant others. Participants rate their agreement with each statement on a scale from 1 (very strongly disagree) to 7 (very strongly agree), resulting in a total score ranging from 12 to 84, where higher scores indicate higher perceived social support.

  19. Change from baseline in time-activity patterns

    Time frame: baseline, six months

    The time-activity patterns is measured by the self-reported time-activity diaries questionnaire. This questionnaire captures duration spent in various settings (such as outdoor environments, workplaces, transportation, home, and other indoor areas) and at different intensity levels of physical activity were recorded.

  20. Change from baseline in HPSMBRS score

    Time frame: baseline, six months

    The HPSMBRS score is measured by the hypertension patient self-management behavior rating scale. The HPSMBRS consists of 33 individual items across six dimensions: medication management, condition monitoring, dietary management, exercise management, work-rest management, and emotional management. Each item is rated on a 1 to 5 Likert scale, with 1 indicating "never" and 5 indicating "always." The total score ranges from 33 to 165, with higher scores indicating better self-management. To ensure comparability across dimensions, individual scores are converted to standardized scores using the formula: standardized score = (actual ctual score of each factor / total score of each factor)×100. Self-management levels are categorized as low (<60), moderate (60~80), and high (>80) based on standardized scores.

  21. Change from baseline in HPMARS score

    Time frame: baseline, six months

    The HPMARS score is measured by the hypertension patient medication adherence rating scale. The HPMARS consists of 8 individual items that assess key components of medication adherence: forgetting to take medication, intentional non-adherence, reducing or stopping medication due to side effects without consulting a doctor, forgetting medication during travel, forgetting to take medication the previous day, reducing dosage after symptoms are controlled, inconvenience of daily medication with maintaining adherence, and the frequency of forgetting to take medication. Each item is scored as 1 or 0, with the total HPMARS score ranging from 0 to 8. A total score of 8 indicates high adherence, 6 to 7 indicates moderate adherence, and a score below 6 suggests low adherence.

  22. Changes in liver function biomarkers (e.g., albumin (ALB), alanine aminotransferase (ALT), aspartate aminotransferase (AST), etc.) from baseline

    Time frame: baseline, six months

    This section evaluates changes in liver function biomarkers using appropriate omics technologies to explore their potential role in liver-related diseases.

  23. Changes in cardiovascular biomarkers (e.g., creatine kinase-MB (CK-MB), creatine kinase (CK), etc.) from baseline

    Time frame: baseline, six months

    This section assesses changes in cardiovascular function biomarkers through suitable omics techniques, investigating their involvement in cardiovascular diseases.

  24. Changes in inflammatory biomarkers (e.g., interleukin-6 (IL-6), interleukin-1β (IL-1β), etc.) from baseline

    Time frame: baseline, six months

    This section examines the alterations in inflammatory biomarkers using relevant omics approaches, aiming to uncover their potential role in inflammatory and immune responses.

  25. Changes in metabolic biomarkers (e.g., lactate dehydrogenase (LDH), high-density lipoprotein (HDL), low-density lipoprotein cholesterol (LDL) , etc.) from baseline

    Time frame: baseline, six months

    This section examines the alterations in metabolic biomarkers using relevant omics approaches, aiming to uncover their potential implications in metabolic processes and health outcomes.

Sponsors and collaborators

Lead sponsor

Tiantian Li

Other Gov

Registry information

Important dates

Study start
2023
Primary completion
2024
Study completion
2024
First posted
Sep 21, 2023
Registry last updated
Oct 30, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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