To review studies on hypertension in Nigeria over the past five decades in terms of prevalence,awareness and treatment and complications.Following our search on Pubmed,African Journals Online and the World Health Orga...To review studies on hypertension in Nigeria over the past five decades in terms of prevalence,awareness and treatment and complications.Following our search on Pubmed,African Journals Online and the World Health Organization Global cardiovascular infobase,1060 related references were identified out of which 43 were found to be relevant for this review.The overall prevalence of hypertension in Nigeria ranges from 8%-46.4% depending on the study target population,type of measurement and cut-off value used for defining hypertension.The prevalence is similar in men and women(7.9%-50.2% vs 3.5%-68.8%,respectively) and in the urban(8.1%-42.0%) and rural setting(13.5%-46.4%).The pooled prevalence increased from 8.6% from the only study during the period from 1970-1979 to 22.5%(2000-2011).Awareness,treatment and control of hypertension were generally low with attendant high burden of hypertension related complications.In order to improve outcomes of cardiovascular disease in Africans,public health education to improve awareness of hypertension is required.Further epidemiological studies on hypertension are required to adequately understand and characterize the impact of hypertension in society.展开更多
Macronutrients serve as a source of energy for both gut microbiota and its host. An increase or decrease in macronutrients can either increase or decrease the composition of gut microbiota, leading to gut dysbiosis wh...Macronutrients serve as a source of energy for both gut microbiota and its host. An increase or decrease in macronutrients can either increase or decrease the composition of gut microbiota, leading to gut dysbiosis which has been implicated in many diseases state including non-communicable diseases. To achieve this, seven diets were formulated by restricting 60% of each macronutrient. These diets were fed on 42 albino rats (Wistar), divided into 7 groups of 6 rats each. Group 1 was fed on a normal laboratory chow diet (ND), group 2 received a fat-restricted diet (FRD), group 3 received a protein-restricted diet, (PFD), group 4 received a carbohydrate-restricted diet (CRD), group 5 received a protein and fat-restricted diet (PFRD), group 6 re-ceived a carbohydrate and fat-restricted diet (CFRD) and group 7 received a carbohydrate and protein-restricted diet (CPRD). Feed and water intake were given ad libitum and daily weight and food intake were recorded. The experiment went on for 4 weeks after which animals were sacrificed and intestinal content and blood were collected for analysis (gut microbial composition, glucose, insulin levels, serum lipid, and enzyme). Compared to the control group results showed a decrease in Bacteroides (40.50 - 14.00 CFU), HDL (68.20 - 40.40 mg/dl), and AST (66.62 - 64.74 U/L) in FRD. An increase in AST (66.6 - 69.43 U/L), Bifidobacterial (59.50 - 92.00 CFU) and decreased Bacteroides (40.5 - 19.5 CFU) for PRD was also recorded. CRD reduced Lactobacillus (73 - 33.5 CFU), total bacterial count (129 - 48 CFU), HDL (68.2 - 30.8 mg/dl), and cholesterol (121.44 - 88.65 mg/dl) whereas intestinal composition of E. coli (30.5 - 51.5 CFU) increased. PFRD increased Lactobacillus (73.00 - 102.5 CFU), Bifidobacterial (59.5 - 100 CFU), HDL (68.2 - 74.7 mg/dl), and Triglyceride (111.67 - 146.67 mg/dl) concentration. Meanwhile, a reduction in Bifidobacterial (59.5 - 41.5 CFU), and an increasing of AST (66.62 - 70.30 U/l) were recorded for CFRD. However, Bacteroides (40.5 69.5 CFU), LDL (30.95 - 41.98展开更多
Non-communicable diseases (NCDs) account for 63% of mortalities. Approximately 80% of these NCD-related deaths occur in LMICs. A quasi-experimental study utilizing a non-equivalent pre-and post-test was conducted from...Non-communicable diseases (NCDs) account for 63% of mortalities. Approximately 80% of these NCD-related deaths occur in LMICs. A quasi-experimental study utilizing a non-equivalent pre-and post-test was conducted from May 2022 to March 2023 with 370 study participants. Multistage cluster and random sampling were used to select ten community units, and therefore, 150 CHVs were chosen for the control unit, and 150 were used to form the interventional group. Data was collected from the KOBO app. Six (6) homogenous FGDs comprised ten members, and 10 KII were conducted across study sites. Quantitative data was analyzed using SPSS version 28.0, and qualitative data was audio-recorded, transcribed, and analyzed via N-Vivo 12. The study shows that 59.3% of respondents have minimal information, and 92.7% (n = 139) have no clear understanding of NCDs, with a pre-intervention capacity of 48.8%. Independent sample t-test showed a significant difference in capacity from a pre-intervention average of 48.75 (SD ± 5.7)%, which increased to 68.28 (SD ± 7.6)%, p < 0.001. A well-designed community interventional model plays a pivotal role in grassroots healthcare delivery but requires optimization for NCD management.展开更多
Background:Life’s Simple 7,the former construct of cardiovascular health(CVH)has been used to evaluate adverse non-communicable chronic diseases(NCDs).However,some flaws have been recognized in recent years and Life...Background:Life’s Simple 7,the former construct of cardiovascular health(CVH)has been used to evaluate adverse non-communicable chronic diseases(NCDs).However,some flaws have been recognized in recent years and Life’s Essential 8 has been established.In this study,we aimed to analyze the association between CVH defined by Life’s Essential 8 and risk of 44 common NCDs and further estimate the population attributable fractions(PAFs)of low-moderate CVH scores in the 44 NCDs.Methods:In the UK Biobank,170,726 participants free of 44 common NCDs at baseline were included.The Life’s Essential 8 composite measure consists of four health behaviours(diet,physical activity,nicotine exposure,and sleep)and four health factors(body mass index,non-high density lipoprotein cholesterol,blood glucose,and blood pressure),and the maximum CVH score was 100 points.CVH score was categorized into low,moderate,and high groups.Participants were followed up for 44 NCDs diagnosis across 10 human system disorders according to the International Classification of Diseases 10th edition(ICD-10)code using linkage to national health records until 2022.Cox proportional hazard models were used in this study.The hazard ratios(HRs)and PAFs of 44 NCDs associated with CVH score were examined.Results:During the median follow-up of 10.85 years,58,889 incident NCD cases were documented.Significant linear dose-response associations were found between higher CVH score and lower risk of 25(56.8%)of 44 NCDs.Low-moderate CVH(<80 points)score accounted for the largest proportion of incident cases in diabetes(PAF:80.3%),followed by gout(59.6%),sleep disorder(55.6%),chronic liver disease(45.9%),chronic kidney disease(40.9%),ischemic heart disease(40.8%),chronic obstructive pulmonary disease(40.0%),endometrium cancer(35.8%),lung cancer(34.0%),and heart failure(34.0%)as the top 10.Among the eight modifiable factors,overweight/obesity explained the largest number of cases of incident NCDs in endocrine,nutritional,and metabolic diseases(35.4%),digestive system展开更多
目的:分析太平洋岛国地区非传染性疾病(non-communicable diseases,NCDs)负担情况及变化趋势,为我国制定相关卫生合作政策提供参考。方法:基于2019年全球疾病负担数据,选取发病率、死亡率、伤残损失寿命年(years lived with disability,...目的:分析太平洋岛国地区非传染性疾病(non-communicable diseases,NCDs)负担情况及变化趋势,为我国制定相关卫生合作政策提供参考。方法:基于2019年全球疾病负担数据,选取发病率、死亡率、伤残损失寿命年(years lived with disability,YLD)、早死损失寿命年(years of life lost,YLL)、伤残调整寿命年(disability adjusted life years,DALY)、平均年度变化百分比(average annual percent change,AAPC),分析太平洋岛国地区NCDs疾病负担情况及其与社会人口指数(socio-demographic index,SDI)相关性。结果:2019年太平洋岛国地区男性NCDs的标化死亡率、YLL率、DALY率高于女性,发病率、YLD率低于女性。45岁以上中老年人群和5岁以下儿童NCDs疾病负担较重。NCDs疾病负担主要源于心血管疾病(27.5%)、糖尿病和肾脏疾病(13.2%)、肿瘤(10.4%)。1990-2019年,NCDs的标化发病率(AAPC=0.021%)、YLD率(AAPC=0.142%)呈上升趋势,变化趋势均有统计学意义(P<0.05)。绝大多数国家和领地NCDs疾病负担与SDI存在负相关。结论:太平洋岛国地区NCDs疾病负担在性别、年龄、病种、国家和领地上分布不均衡,需要制定针对性的防控措施。中国应关注到该地区NCDs防控的重大需求,积极探索参与NCDs治理。展开更多
Objective:To investigate the impact of COVID-19 on the mortality trends and patterns in a tertiary teaching hospital in Raipur,Chhattisgarh,India.Methods:A hospital-based retrospective study was conducted to analyze t...Objective:To investigate the impact of COVID-19 on the mortality trends and patterns in a tertiary teaching hospital in Raipur,Chhattisgarh,India.Methods:A hospital-based retrospective study was conducted to analyze the case reports of all deaths from January 2016 to December 2021 in a tertiary teaching hospital in Raipur,Chhattisgarh,India.The socio-demographic profile and the pattern of causes of death were recorded.The deaths were classified according to the 10th revision of the International Classification of Diseases.Results:A total of 6128 deaths were registered from 2016 to 2021 and the maximum death number was observed in 2021(38.2%)followed by 2020(32.5%)when the country was hit by the COVID-19 pandemic.The highest number of deaths was observed in the age group of 51 to 65 years i.e.,31.1%of the total deaths.In all five years,male deaths were more than female deaths,and more than 50%occurred within three days of hospitalization during the study period.Conclusions:Even though there is a rise in the death rate due to the sudden hit of COVID-19,the burden of both communicable and non-communicable diseases remains gradually increasing over the five years.There is a need for health awareness in the community about changing lifestyles and their harmful effects on health.展开更多
文摘To review studies on hypertension in Nigeria over the past five decades in terms of prevalence,awareness and treatment and complications.Following our search on Pubmed,African Journals Online and the World Health Organization Global cardiovascular infobase,1060 related references were identified out of which 43 were found to be relevant for this review.The overall prevalence of hypertension in Nigeria ranges from 8%-46.4% depending on the study target population,type of measurement and cut-off value used for defining hypertension.The prevalence is similar in men and women(7.9%-50.2% vs 3.5%-68.8%,respectively) and in the urban(8.1%-42.0%) and rural setting(13.5%-46.4%).The pooled prevalence increased from 8.6% from the only study during the period from 1970-1979 to 22.5%(2000-2011).Awareness,treatment and control of hypertension were generally low with attendant high burden of hypertension related complications.In order to improve outcomes of cardiovascular disease in Africans,public health education to improve awareness of hypertension is required.Further epidemiological studies on hypertension are required to adequately understand and characterize the impact of hypertension in society.
文摘Macronutrients serve as a source of energy for both gut microbiota and its host. An increase or decrease in macronutrients can either increase or decrease the composition of gut microbiota, leading to gut dysbiosis which has been implicated in many diseases state including non-communicable diseases. To achieve this, seven diets were formulated by restricting 60% of each macronutrient. These diets were fed on 42 albino rats (Wistar), divided into 7 groups of 6 rats each. Group 1 was fed on a normal laboratory chow diet (ND), group 2 received a fat-restricted diet (FRD), group 3 received a protein-restricted diet, (PFD), group 4 received a carbohydrate-restricted diet (CRD), group 5 received a protein and fat-restricted diet (PFRD), group 6 re-ceived a carbohydrate and fat-restricted diet (CFRD) and group 7 received a carbohydrate and protein-restricted diet (CPRD). Feed and water intake were given ad libitum and daily weight and food intake were recorded. The experiment went on for 4 weeks after which animals were sacrificed and intestinal content and blood were collected for analysis (gut microbial composition, glucose, insulin levels, serum lipid, and enzyme). Compared to the control group results showed a decrease in Bacteroides (40.50 - 14.00 CFU), HDL (68.20 - 40.40 mg/dl), and AST (66.62 - 64.74 U/L) in FRD. An increase in AST (66.6 - 69.43 U/L), Bifidobacterial (59.50 - 92.00 CFU) and decreased Bacteroides (40.5 - 19.5 CFU) for PRD was also recorded. CRD reduced Lactobacillus (73 - 33.5 CFU), total bacterial count (129 - 48 CFU), HDL (68.2 - 30.8 mg/dl), and cholesterol (121.44 - 88.65 mg/dl) whereas intestinal composition of E. coli (30.5 - 51.5 CFU) increased. PFRD increased Lactobacillus (73.00 - 102.5 CFU), Bifidobacterial (59.5 - 100 CFU), HDL (68.2 - 74.7 mg/dl), and Triglyceride (111.67 - 146.67 mg/dl) concentration. Meanwhile, a reduction in Bifidobacterial (59.5 - 41.5 CFU), and an increasing of AST (66.62 - 70.30 U/l) were recorded for CFRD. However, Bacteroides (40.5 69.5 CFU), LDL (30.95 - 41.98
文摘Non-communicable diseases (NCDs) account for 63% of mortalities. Approximately 80% of these NCD-related deaths occur in LMICs. A quasi-experimental study utilizing a non-equivalent pre-and post-test was conducted from May 2022 to March 2023 with 370 study participants. Multistage cluster and random sampling were used to select ten community units, and therefore, 150 CHVs were chosen for the control unit, and 150 were used to form the interventional group. Data was collected from the KOBO app. Six (6) homogenous FGDs comprised ten members, and 10 KII were conducted across study sites. Quantitative data was analyzed using SPSS version 28.0, and qualitative data was audio-recorded, transcribed, and analyzed via N-Vivo 12. The study shows that 59.3% of respondents have minimal information, and 92.7% (n = 139) have no clear understanding of NCDs, with a pre-intervention capacity of 48.8%. Independent sample t-test showed a significant difference in capacity from a pre-intervention average of 48.75 (SD ± 5.7)%, which increased to 68.28 (SD ± 7.6)%, p < 0.001. A well-designed community interventional model plays a pivotal role in grassroots healthcare delivery but requires optimization for NCD management.
基金Science and Technology Commission of Shanghai Municipality(No.19140902400)Shanghai Municipal Health Commission(No.2022XD017)+1 种基金Clinical Research Plan of SHDC(No.SHDC2020CR4006)Shanghai Municipal Human Resources and Social Security Bureau(No.2020074)
文摘Background:Life’s Simple 7,the former construct of cardiovascular health(CVH)has been used to evaluate adverse non-communicable chronic diseases(NCDs).However,some flaws have been recognized in recent years and Life’s Essential 8 has been established.In this study,we aimed to analyze the association between CVH defined by Life’s Essential 8 and risk of 44 common NCDs and further estimate the population attributable fractions(PAFs)of low-moderate CVH scores in the 44 NCDs.Methods:In the UK Biobank,170,726 participants free of 44 common NCDs at baseline were included.The Life’s Essential 8 composite measure consists of four health behaviours(diet,physical activity,nicotine exposure,and sleep)and four health factors(body mass index,non-high density lipoprotein cholesterol,blood glucose,and blood pressure),and the maximum CVH score was 100 points.CVH score was categorized into low,moderate,and high groups.Participants were followed up for 44 NCDs diagnosis across 10 human system disorders according to the International Classification of Diseases 10th edition(ICD-10)code using linkage to national health records until 2022.Cox proportional hazard models were used in this study.The hazard ratios(HRs)and PAFs of 44 NCDs associated with CVH score were examined.Results:During the median follow-up of 10.85 years,58,889 incident NCD cases were documented.Significant linear dose-response associations were found between higher CVH score and lower risk of 25(56.8%)of 44 NCDs.Low-moderate CVH(<80 points)score accounted for the largest proportion of incident cases in diabetes(PAF:80.3%),followed by gout(59.6%),sleep disorder(55.6%),chronic liver disease(45.9%),chronic kidney disease(40.9%),ischemic heart disease(40.8%),chronic obstructive pulmonary disease(40.0%),endometrium cancer(35.8%),lung cancer(34.0%),and heart failure(34.0%)as the top 10.Among the eight modifiable factors,overweight/obesity explained the largest number of cases of incident NCDs in endocrine,nutritional,and metabolic diseases(35.4%),digestive system
文摘目的:分析太平洋岛国地区非传染性疾病(non-communicable diseases,NCDs)负担情况及变化趋势,为我国制定相关卫生合作政策提供参考。方法:基于2019年全球疾病负担数据,选取发病率、死亡率、伤残损失寿命年(years lived with disability,YLD)、早死损失寿命年(years of life lost,YLL)、伤残调整寿命年(disability adjusted life years,DALY)、平均年度变化百分比(average annual percent change,AAPC),分析太平洋岛国地区NCDs疾病负担情况及其与社会人口指数(socio-demographic index,SDI)相关性。结果:2019年太平洋岛国地区男性NCDs的标化死亡率、YLL率、DALY率高于女性,发病率、YLD率低于女性。45岁以上中老年人群和5岁以下儿童NCDs疾病负担较重。NCDs疾病负担主要源于心血管疾病(27.5%)、糖尿病和肾脏疾病(13.2%)、肿瘤(10.4%)。1990-2019年,NCDs的标化发病率(AAPC=0.021%)、YLD率(AAPC=0.142%)呈上升趋势,变化趋势均有统计学意义(P<0.05)。绝大多数国家和领地NCDs疾病负担与SDI存在负相关。结论:太平洋岛国地区NCDs疾病负担在性别、年龄、病种、国家和领地上分布不均衡,需要制定针对性的防控措施。中国应关注到该地区NCDs防控的重大需求,积极探索参与NCDs治理。
文摘Objective:To investigate the impact of COVID-19 on the mortality trends and patterns in a tertiary teaching hospital in Raipur,Chhattisgarh,India.Methods:A hospital-based retrospective study was conducted to analyze the case reports of all deaths from January 2016 to December 2021 in a tertiary teaching hospital in Raipur,Chhattisgarh,India.The socio-demographic profile and the pattern of causes of death were recorded.The deaths were classified according to the 10th revision of the International Classification of Diseases.Results:A total of 6128 deaths were registered from 2016 to 2021 and the maximum death number was observed in 2021(38.2%)followed by 2020(32.5%)when the country was hit by the COVID-19 pandemic.The highest number of deaths was observed in the age group of 51 to 65 years i.e.,31.1%of the total deaths.In all five years,male deaths were more than female deaths,and more than 50%occurred within three days of hospitalization during the study period.Conclusions:Even though there is a rise in the death rate due to the sudden hit of COVID-19,the burden of both communicable and non-communicable diseases remains gradually increasing over the five years.There is a need for health awareness in the community about changing lifestyles and their harmful effects on health.
