The effect of age on the relationship between body mass index and risks of incident stroke subtypes: The JPHC study

OBJECTIVE

The associations between body mass index (BMI) and stroke subtypes, particularly intracerebral hemorrhage, have not been consistent. Such inconsistencies may be due to differences in the age at which BMI was obtained. We examined the possible age modifications in the association between BMI and stroke risk.

MATERIALS AND METHODS

We followed 88,754 participants, aged 40-69 years at baseline (1990-1994), of the Japan Public Health Center-based prospective (JPHC) study for stroke incidence. BMI was obtained using self-reported body weight and height, which were categorized using the following cut-off points: 18.5, 21, 23, 25, 27.5, and 30 kg/m2. Time-dependent Cox proportional hazards models that updated BMI and covariates using 5- and 10-year questionnaire responses were used to estimate hazard ratios and 95 % confidence intervals. The analyses were stratified by age group (40-59 and ≥60 years) and the age of the individuals was updated.

RESULTS

During the median follow-up period of 19 years, we documented 4,690 strokes, including 2,781 ischemic strokes and 1,358 intracerebral hemorrhages. After adjusting for sex, age, smoking, alcohol consumption, leisure-time physical activity, history of hypertension, dyslipidemia, and diabetes mellitus, we observed a positive linear association between BMI and ischemic stroke (linear trend, p < 0.001) in both age groups (interaction p>0.05). In contrast, a curvilinear association between BMI and intracerebral hemorrhage was observed in both the middle (curvilinear trend, p=0.017) and the older group (curvilinear trend, p=0.098) (interaction p>0.05).

CONCLUSION

BMI and stroke associations did not vary significantly with age, although the association may differ according to subtype.

Clinical presentation and persistent symptoms in patients at a post-COVID-19 clinic in Ghana

Introduction

on March 11th, 2020, the World Health Organization recognized COVID-19 as a pandemic. By March 31st, 2021, the Ghana Health Service had recorded a cumulative 90,782 positive cases and 748 deaths in the country. Despite the significant resources and efforts being put into containing and treating individuals with COVID-19, there is a lack of information within sub-Saharan Africa on clinical presentations and factors associated with experiencing persistent symptoms of COVID-19.

Methods

in this retrospective study, we collected data obtained from patients with COVID-19 who were discharged from the post-COVID-19 clinic at the Ga East Municipal Hospital, Ghana, between April 1st, 2020, and March 31st, 2021, to assess clinical presentations and identify predictors of COVID-19 symptoms that persist beyond 14 days from the onset of the symptom.

Results

of the 253 patients who experienced symptoms of COVID-19, 81 (32.0%) experienced symptoms that persisted beyond 14 days. Cough (64.0%), headache (38.7%), and chest pain (28.1%) were the most common symptoms. After adjusting for covariates, the odds of patients presenting with COVID-19 symptoms that persist beyond 14 days are 98% higher among patients who experienced chest pain compared to those who did not and 2% increased for each additional year of their age.

Conclusion

patient´s age and experiencing chest pain were significant predictors of symptoms that persist beyond 14 days. The findings of our study highlight the need to continue to monitor and care for individuals with identified predictors of experiencing persistent symptoms of COVID-19.