https://dataverse.ada.edu.au/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.26193/GELPYQhttps://dataverse.ada.edu.au/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.26193/GELPYQ
Ten to Men: The Australian Longitudinal Study on Male Health was commissioned by the Department of Health and Aged Care following the 2010 National Male Health Policy, and currently serves the National Men’s Health Strategy 2020-2030. This is Australia’s first national longitudinal study that focuses exclusively on male health and wellbeing. The cohort was recruited using a stratified, multi-stage & cluster sampling design to select males aged 10–55 years. Recruitment of eligible participants and Wave 1 of the data collection occurred between October 2013 and July 2014, resulting in a reconciled sample size of 16,021. The survey content was structured around six key research domains relevant to male health: wellbeing and mental health, use of health services, health-related behaviours, health status, health knowledge and social determinants. Wave 2 of the data collection occurred between November 2015 and May 2016. The sample size for Wave 2 was 11,936. The Wave 2 questionnaires largely retained Wave 1 items to obtain repeat longitudinal measures. New items added included additional questions on relationships, mental health, health literacy, help-seeking and resilience. Release 2.1 comprised of updated Wave 1 and Wave 2 datasets. These datasets have undergone changes to previous releases, including the renaming of variables, confidentialisation and other modifications. Release 2.1 offers General Release and Restricted Release. Wave 3 of the data collection occurred between July 2020 and February 2021. The sample size for Wave 3 was 7,919. The Wave 3 questionnaires largely retained items from previous waves to obtain repeat longitudinal measures. New items added included new questions on gambling, use of e-cigarettes, illicit drug use, gender identity, generalised anxiety, relationship quality, individual income, COVID-19 impact and natural disaster impact. Release 3.0 offers General Release and Restricted Release and linked MBS and PBS datasets. Wave 4 of the data collection occurred between August 2022 and December 2022. The sample size for Wave 4 was 7,050. The Wave 4 questionnaires largely retained items from previous waves to obtain repeat longitudinal measures. New items added included new questions on health conditions, masculinity, fathering ethnicity, gender & sexuality, intimidate partner violence, and injuries. Release 4.0 offers General Release and Restricted Release and linked MBS and PBS datasets. Release 4.0.1 is the most recent data release and offers updates to all waves of the General Release and Restricted Release datasets as explained in Change Log Registry.
In 2023, around 17 percent of men in the United States received mental health treatment or counseling in the past year. The share of men who have received treatment for mental health problems has increased over the past couple decades likely due to a decrease in stigma around seeking such help and increased awareness of mental health issues. However, women in the U.S. are still much more likely to receive mental health treatment than men. Mental illness among men No one is immune to mental illness and the impact of mental health problems can be severe and debilitating. In 2023, it was estimated that 19 percent of men in the United States had some form of mental illness in the past year. Two of the most common mental disorders among men and women alike are anxiety disorders and depression. Depression is more common among men in their late teens and early 20s, with around 15 percent of U.S. men aged 21 to 25 years reporting experiencing a major depressive episode in the past year as of 2022. Depression is a very treatable condition, but those suffering from depression are at a much higher risk of suicide than those who do not have depression. Suicide among men Although women in the United States are more likely to report suffering from mental illness than men, the suicide rate among U.S. men is around 3.7 times higher than that of women. Suicide deaths among men are much more likely to involve the use of firearms, which may explain some of the disparity in suicide deaths between men and women. In 2020, around 58 percent of suicide deaths among men were from firearms compared to just 33 percent of suicide deaths among women. Although more people in the United States are accessing mental health, barriers to treatment persist. In 2022, the thought that they could handle the problem without treatment was the number one reason U.S. adults gave for not receiving the mental health treatment they required.
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United States US: Survival To Age 65: Male: % of Cohort data was reported at 81.615 % in 2016. This records an increase from the previous number of 81.372 % for 2015. United States US: Survival To Age 65: Male: % of Cohort data is updated yearly, averaging 73.582 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 81.615 % in 2016 and a record low of 63.787 % in 1967. United States US: Survival To Age 65: Male: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;
In 2023, it was estimated that 19 percent of men in the U.S. had some type of mental illness in the past year. This statistic shows the percentage of U.S. men who had any mental illness in the past year from 2008 to 2023.
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United States US: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data was reported at 0.500 % in 2012. This records a decrease from the previous number of 1.000 % for 2009. United States US: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data is updated yearly, averaging 1.150 % from Dec 1991 (Median) to 2012, with 6 observations. The data reached an all-time high of 1.600 % in 2002 and a record low of 0.500 % in 2012. United States US: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Health Statistics. Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
In the United States, the prevalence of mental illness in the past year is more common among females than males and more common among the young than the old. As of 2023, some 26.4 percent of females reported some type of mental illness in the past year, compared to 19 percent of males. Common forms of mental illness include depression, anxiety disorders, and mood disorders. Depression Depression is one of the most common mental illnesses in the United States. Depression is defined by prolonged feelings of sadness, hopelessness, and despair leading to a loss of interest in activities once enjoyed, a loss of energy, trouble sleeping, and thoughts of death or suicide. It is estimated that around five percent of the U.S. population suffers from depression. Depression is more common among women with around six percent of women suffering from depression compared to four percent of men. Mental illness and substance abuse Data has shown that those who suffer from mental illness are more likely to suffer from substance abuse than those without mental illness. Those with mental illness are more likely to use illicit drugs such as heroin and cocaine, and to abuse prescription drugs than those without mental illness. As of 2023, around 7.9 percent of adults in the United States suffered from co-occuring mental illness and substance use disorder.
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United States US: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 133.993 Ratio in 2015. This records an increase from the previous number of 131.567 Ratio for 2014. United States US: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 176.083 Ratio from Dec 1960 (Median) to 2015, with 56 observations. The data reached an all-time high of 240.957 Ratio in 1968 and a record low of 131.037 Ratio in 2013. United States US: Mortality Rate: Adult: Male: per 1000 Male Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;
In 2023, it was estimated that nearly 32 percent of men aged 30 to 34 suffered from some mental illness, and 8.7 percent of those in this age group suffered from serious mental illness. This statistic shows the percentage of U.S. men with any or serious mental illness in the past year in 2023, by age.
https://www.icpsr.umich.edu/web/ICPSR/studies/38009/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38009/terms
This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the National Survey of Family Growth (NSFG) website) directly for details on obtaining the data. The National Survey of Family Growth (NSFG) gathers information on pregnancy and births, marriage and cohabitation, infertility, use of contraception, family life, and general and reproductive health. The survey sample is designed to produce national data, not estimates for individual states. Beginning in 1973, NSFG was designed to be nationally representative of ever-married women 15-44 years of age in the civilian, non-institutionalized population of the United States (household population). Later sample changes to NSFG include: Interviewing women aged 15-44 regardless of marital experience (1982) Interviewing an independent sample of men aged 15-44 (2002) Expanding the age range for women and men to 15-49 (2015) Grandparent-Parent-Adult Child triplets: ~1,400 For the 2011-2019 continuous interviewing period, four sets of 2-year public-use data files were released: 2011-2013 NSFG: 10,416 respondents aged 15-44 (5,601 women and 4,815 men) 2013-2015 NSFG: 10,205 respondents aged 15-44 (5,699 women and 4,506 men) 2015-2017 NSFG: 10,094 respondents aged 15-49 (5,554 women and 4,540 men) 2017-2019 NSFG: 11,347 respondents aged 15-49 (6,141 women and 5,206 men) Public-use data files and related documentation, including questionnaires, codebooks, and design and operations reports, can be found for each release on the NSFG Questionnaires, Datasets, and Related Documentation page.
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BO: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 16.100 % in 2016. This records a decrease from the previous number of 20.100 % for 2012. BO: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 33.400 % from Dec 1989 (Median) to 2016, with 7 observations. The data reached an all-time high of 45.700 % in 1989 and a record low of 16.100 % in 2016. BO: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Social: Health Statistics. Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.;;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Estimates are from national survey data. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
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Haiti HT: Life Expectancy at Birth: Male data was reported at 61.162 Year in 2016. This records an increase from the previous number of 60.902 Year for 2015. Haiti HT: Life Expectancy at Birth: Male data is updated yearly, averaging 52.441 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 61.162 Year in 2016 and a record low of 40.804 Year in 1960. Haiti HT: Life Expectancy at Birth: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Haiti – Table HT.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
This statistic depicts the percentage of the global population with select mental health and substance use disorders as of 2017, by gender. According to the data, a total of **** percent of males and **** percent of females suffered from mental health or substance use disorders globally.
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Chad TD: Survival To Age 65: Male: % of Cohort data was reported at 44.254 % in 2022. This records an increase from the previous number of 41.112 % for 2021. Chad TD: Survival To Age 65: Male: % of Cohort data is updated yearly, averaging 35.587 % from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 44.254 % in 2022 and a record low of 24.966 % in 1987. Chad TD: Survival To Age 65: Male: % of Cohort data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Health Statistics. Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.;United Nations Population Division. World Population Prospects: 2024 Revision.;Weighted average;
In 2023, approximately ** percent of male adults in the United States didn't have health insurance, compared to **** percent of female adults. Men are more likely to be uninsured than women. This statistic shows the percentage of U.S. adults aged 18–64 years without health insurance coverage from 2015 to 2023, by gender.
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United States US: Suicide Mortality Rate: Male data was reported at 23.600 NA in 2016. This records an increase from the previous number of 23.000 NA for 2015. United States US: Suicide Mortality Rate: Male data is updated yearly, averaging 20.700 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 23.600 NA in 2016 and a record low of 17.900 NA in 2000. United States US: Suicide Mortality Rate: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Health Statistics. Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
The life expectancy for men aged 65 years in the U.S. has gradually increased since the 1960s. Now men in the United States aged 65 can expect to live 17 more years on average. Women aged 65 years can expect to live around 19.7 more years on average.
Life expectancy in the U.S.
As of 2021, the average life expectancy at birth in the United States was 76.33 years. Life expectancy in the U.S. had steadily increased for many years but has recently dropped slightly. Women consistently have a higher life expectancy than men but have also seen a slight decrease. As of 2019, a woman in the U.S. could be expected to live up to 79.3 years.
Leading causes of death
The leading causes of death in the United States include heart disease, cancer, unintentional injuries, chronic lower respiratory diseases and cerebrovascular diseases. However, heart disease and cancer account for around 38 percent of all deaths. Although heart disease and cancer are the leading causes of death for both men and women, there are slight variations in the leading causes of death. For example, unintentional injury and suicide account for a larger portion of deaths among men than they do among women.
This statistic shows the average life expectancy in North America for those born in 2022, by gender and region. In Canada, the average life expectancy was 80 years for males and 84 years for females.
Life expectancy in North America
Of those considered in this statistic, the life expectancy of female Canadian infants born in 2021 was the longest, at 84 years. Female infants born in America that year had a similarly high life expectancy of 81 years. Male infants, meanwhile, had lower life expectancies of 80 years (Canada) and 76 years (USA).
Compare this to the worldwide life expectancy for babies born in 2021: 75 years for women and 71 years for men. Of continents worldwide, North America ranks equal first in terms of life expectancy of (77 years for men and 81 years for women). Life expectancy is lowest in Africa at just 63 years and 66 years for males and females respectively. Japan is the country with the highest life expectancy worldwide for babies born in 2020.
Life expectancy is calculated according to current mortality rates of the population in question. Global variations in life expectancy are caused by differences in medical care, public health and diet, and reflect global inequalities in economic circumstances. Africa’s low life expectancy, for example, can be attributed in part to the AIDS epidemic. In 2019, around 72,000 people died of AIDS in South Africa, the largest amount worldwide. Nigeria, Tanzania and India were also high on the list of countries ranked by AIDS deaths that year. Likewise, Africa has by far the highest rate of mortality by communicable disease (i.e. AIDS, neglected tropics diseases, malaria and tuberculosis).
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Mali ML: Prevalence of HIV: Male: % Aged 15-24 data was reported at 0.400 % in 2017. This stayed constant from the previous number of 0.400 % for 2016. Mali ML: Prevalence of HIV: Male: % Aged 15-24 data is updated yearly, averaging 0.500 % from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 0.600 % in 1999 and a record low of 0.400 % in 2017. Mali ML: Prevalence of HIV: Male: % Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mali – Table ML.World Bank.WDI: Health Statistics. Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group.; ; UNAIDS estimates.; Weighted average; In many developing countries most new infections occur in young adults, with young women being especially vulnerable.
Among men in the United States, those aged 75 years and older have the highest death rate from suicide among all age groups. In 2022, the suicide death rate among men aged 75 years and older was 43.9 per 100,000 population. In comparison, the death rate from suicide among men aged 25 to 44 years was 29.6 per 100,000. Suicide is a significant problem in the United States, with rates increasing over the past decade. Suicide among men In the United States, the suicide rate among men is almost four times higher than that of women. In 2022, the rate of suicide among U.S. men was 23 per 100,000 population, the highest rate recorded over the past 70 years. Firearms account for the vast majority of suicide deaths among men, accounting for around 60 percent of male suicides in 2021. The reasons why U.S. men have higher rates of suicide than women are complex and not fully understood, but may have to do with the more violent means by which men carry out suicide and the stigma around seeking help for mental health issues. Suicide among women Although the suicide rate among women in the U.S. is significantly lower than that of men, the rate of suicide among women has increased over the past couple of decades. Among women, those aged 45 to 64 years have the highest death rates due to suicide, followed by women 25 to 44 years old. Interestingly, the share of women reporting serious thoughts of suicide in the past year is higher than that of men, with around 5.5 percent of U.S. women reporting such thoughts in 2023. Similarly to men, firearms account for most suicide deaths among women, however suffocation and poisoning account for a significant share of suicides among women. In 2021, around 35 percent of suicides among women were carried out by firearms, while suffocation and poisoning each accounted for around 28 percent of suicide deaths.
A survey of people from 31 different countries around the world found that mental health was the biggest health problem respondents said was facing their country in 2024. Other health problems reported by respondents included cancer, stress, and obesity. The COVID-19 pandemic The COVID-19 pandemic impacted almost every country in the world and was the biggest global health crisis in recent history. It resulted in hundreds of millions of cases and millions of deaths, causing unprecedented disruption in health care systems. Lockdowns imposed in many countries to halt the spread of the virus also resulted in a rise of mental health issues as feelings of stress, isolation, and hopelessness arose. However, vaccines to combat the virus were developed at record speed, and many countries have now vaccinated large shares of their population. Nevertheless, in 2024, ** percent of respondents still stated that COVID-19 was the biggest health problem facing their country. Mental health issues One side effect of the COVID-19 pandemic has been a focus on mental health around the world. The two most common mental health issues worldwide are anxiety disorders and depression. In 2021, it was estimated that around *** percent of the global population had an anxiety disorder, while **** percent suffered from depression. Rates of depression are higher among females than males, with some *** percent of females suffering from depression, compared to *** percent of men. However, rates of suicide in most countries are higher among men than women. One positive outcome of the COVID-19 pandemic and the spotlight it shined on mental health may be a decrease in stigma surrounding mental health issues and seeking help for such issues. This would be a positive development as many people around the world do not or cannot receive the necessary treatment they need for their mental health.
https://dataverse.ada.edu.au/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.26193/GELPYQhttps://dataverse.ada.edu.au/api/datasets/:persistentId/versions/3.0/customlicense?persistentId=doi:10.26193/GELPYQ
Ten to Men: The Australian Longitudinal Study on Male Health was commissioned by the Department of Health and Aged Care following the 2010 National Male Health Policy, and currently serves the National Men’s Health Strategy 2020-2030. This is Australia’s first national longitudinal study that focuses exclusively on male health and wellbeing. The cohort was recruited using a stratified, multi-stage & cluster sampling design to select males aged 10–55 years. Recruitment of eligible participants and Wave 1 of the data collection occurred between October 2013 and July 2014, resulting in a reconciled sample size of 16,021. The survey content was structured around six key research domains relevant to male health: wellbeing and mental health, use of health services, health-related behaviours, health status, health knowledge and social determinants. Wave 2 of the data collection occurred between November 2015 and May 2016. The sample size for Wave 2 was 11,936. The Wave 2 questionnaires largely retained Wave 1 items to obtain repeat longitudinal measures. New items added included additional questions on relationships, mental health, health literacy, help-seeking and resilience. Release 2.1 comprised of updated Wave 1 and Wave 2 datasets. These datasets have undergone changes to previous releases, including the renaming of variables, confidentialisation and other modifications. Release 2.1 offers General Release and Restricted Release. Wave 3 of the data collection occurred between July 2020 and February 2021. The sample size for Wave 3 was 7,919. The Wave 3 questionnaires largely retained items from previous waves to obtain repeat longitudinal measures. New items added included new questions on gambling, use of e-cigarettes, illicit drug use, gender identity, generalised anxiety, relationship quality, individual income, COVID-19 impact and natural disaster impact. Release 3.0 offers General Release and Restricted Release and linked MBS and PBS datasets. Wave 4 of the data collection occurred between August 2022 and December 2022. The sample size for Wave 4 was 7,050. The Wave 4 questionnaires largely retained items from previous waves to obtain repeat longitudinal measures. New items added included new questions on health conditions, masculinity, fathering ethnicity, gender & sexuality, intimidate partner violence, and injuries. Release 4.0 offers General Release and Restricted Release and linked MBS and PBS datasets. Release 4.0.1 is the most recent data release and offers updates to all waves of the General Release and Restricted Release datasets as explained in Change Log Registry.